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2. Social isolation of adolescent male rats increases anxiety and K + ‐induced dopamine release in the nucleus accumbens: Role of CRF‐R1
- Author
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Jaime A. Freire‐Arvelo, Jorge L. González‐Pérez, Enrique U. Perez‐Cardona, Juan Zegers, Javier Novoa, Katia Gysling, Jose L. Agosto-Rivera, Annabell C. Segarra, Carlos J Rivero, Hector E Yarur, and Iván G. Santiago‐Marerro
- Subjects
Male ,Microdialysis ,medicine.medical_specialty ,Elevated plus maze ,Dopamine ,Anxiety ,Nucleus accumbens ,Receptors, Corticotropin-Releasing Hormone ,Article ,Nucleus Accumbens ,Open field ,chemistry.chemical_compound ,Internal medicine ,Animals ,Medicine ,Neurotransmitter ,business.industry ,General Neuroscience ,Dopaminergic ,Corticotropin-Releasing Factor Receptor 1 ,Rats ,Endocrinology ,Social Isolation ,chemistry ,Potassium ,business ,medicine.drug - Abstract
Early life adversity can disrupt development leading to emotional and cognitive disorders. This study investigated the effects of social isolation after weaning on anxiety, body weight and locomotion, and on extracellular dopamine (DA) and glutamate (GLU) in the nucleus accumbens (NAc) and their modulation by corticotropin releasing factor receptor 1. On the day of weaning, male rats were housed singly or in groups for 10 consecutive days. Anxiety-like behaviors were assessed by an elevated plus maze (EPM) and an open field test (OF). Neurotransmitter levels were measured by in vivo microdialysis. Single-housed rats spent less time, and entered more, into the closed arms of an EPM than group-housed rats. They also spent less time in the center of an OF, weighed more and showed greater locomotion. In the NAc, no differences in CRF, or in basal extracellular DA or GLU between groups, were observed. A depolarizing stimulus increased DA release in both groups but to higher levels in isolated rats, whereas GLU increased only in single-housed rats. Blocking CRF-R1 receptors with CP-154,526 decreased DA release in single-housed but not in group-housed rats. The corticotropin releasing factor receptor type 1 receptor antagonist also decreased GLU in group-housed animals. These results show that isolating adolescent rats increases anxiety, body weight and ambulation, as well as the sensitivity of dopaminergic neurons to a depolarizing stimulus. This study provides further evidence of the detrimental effects of social isolation during early development and indicates that dysregulation of the CRF system in the NAc may contribute to the pathologies observed.
- Published
- 2021
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3. Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial
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Obbina Abani, Ali Abbas, Fatima Abbas, Mustafa Abbas, Sadia Abbasi, Hakam Abbass, Alfie Abbott, Nabeel Abdallah, Ashraf Abdelaziz, Mohamed Abdelfattah, Bushra Abdelqader, David Abdo, Basir Abdul, Althaf Abdul Rasheed, Ajibode Abdulakeem, Rezan Abdul-Kadir, Amina Abdulle, Abdulfatahi Abdulmumeen, Rasheed Abdul-Raheem, Niyaz Abdulshukkoor, Kula Abdusamad, Yazeed Abed El Khaleq, Mai Abedalla, Abeer Ul Amna Abeer Ul Amna, Katrina Abernethy, Adebanke Aboaba, Hani Abo-Leyah, Ahmed Abou-Haggar, Mahmoud Abouibrahim, Miriam Abraham, Tizzy Abraham, Abraheem Abraheem, Judith Abrams, Hyacinth-John Abu, Ahmed Abu-Arafeh, Syed M Abubacker, Akata Abung, Yaa Aceampong, Amaka Achara, Devikumar Acharya, Sarah Acheampong, Janet Acheson, Andres Acosta, Catherine Acton, Jacqueline Adabie-Ankrah, Sara Adair, Fiona Adam, Matthew Adam, Huzaifa Adamali, Carol Adams, Charlotte Adams, Kate Adams, Lisa Adams, Richard Adams, Tim Adams, Kirsty Adcock, Jemaimah Addai, Ade Adebiyi, Ken Adegoke, Vicki Adell, Debo Ademokun, Sherna Adenwalla, Oluwasegun A Adesemoye, Emmanuel O Adewunmi, Joyce Adeyemi, Rina Adhikary, Gabrielle Adkins, Adnan Adnan, John Aeron-Thomas, Debbie Affleck, Dominic Affron, Carmel Afnan, Muhammad Afridi, Zainab A Aftab, Meenakshi Agarwal, Rachel Agbeko, Chris Agbo, Penny Agent, Sunil Aggarwal, Arameh Aghababaie, Shafana Ahamed Sadiq, Mohamed H Ahammed Nazeer, Humayun Ahmad, Mohammad Ahmad, Syed Ahmad, Asim Ahmed, Bilal Ahmed, Forizuddin Ahmed, Hamze Ahmed, Iram Ahmed, Irshad Ahmed, Khaled Ahmed, Liban Ahmed, Mahin Ahmed, Maria C Ahmed, Muhammad S Ahmed, Naseer Ahmed, Nausheen Ahmed, Osama Ahmed, Rajia A Ahmed, Rizwan Ahmed, Saif Ahmed, Sammiya Ahmed, Sara Ahmed, Sophia Ahmed, Syed Ahmed, Syed Haris Ahmed, Roa Ahmed Ali, Sana Ahmed, Sana Ahmer, Dhiraj Ail, Mark Ainsworth, Giulia Airoldi, Myriam Aissa, Lindianne Aitken, Bini Ajay, Francis Ajeneye, Abdulakeem Ajibode, Ayesha Ajmi, Tahir Akbar, Naim Akhtar, Nasim Akhtar, Nauman Akhtar, Suha Akili, Oludoyinsola Akindolie, Yinka Akinfenwa, Olugbenga Akinkugbe, Ibrahim Akinpelu, Olajide Akinwumiju, Olugbenro Aktinade, Ahmad Al Aaraj, Asma Al Balushi, Majd Al Dakhola, Aladdin Al Swaifi, Eslam Al-Abadi, Narendra Aladangady, Ayaz Alam, Sajid Alam, Abbas Al-Asadi, Karina Al-Asadi, Kyriaki Alatzoglou, Manaf Al-Bayati, Paul Albert, Lorraine Albon, Gemma Alcorn, Stephen Alcorn, Aggie Aldana, David Alderdice, Rayan Aldouri, Jonathan Aldridge, Nicolas Aldridge, Ana Alegria, Alison Alexander, John Alexander, Peter D G Alexander, Charlotte Alford, Julyan Al-Fori, Laith Alghazawi, Bahij Al-Hakim, Shams Al-Hity, Ali Ali, Asad Ali, Fawzia R Ali, Hoodo Ali, Jawad Ali, Mariam Ali, Mohammad Ali, Nayab Ali, Oudai Ali, Sabira Ali, Sakina Ali, Syed Ali, Abid Alina, Fine Aliyuda, Katrin Alizadeh, Maithem Al-Jibury, Saba Al-Juboori, Majid Al-Khalil, Moutaz Alkhusheh, Allameddine Allameddine, Fiona Allan, Rachel Allan, Alison Allanson, Robert Allcock, Beverley Allen, Eireann Allen, Jess Allen, Kerry Allen, Laura Allen, Louise Allen, Poppy Allen, Rebecca Allen, Sam Allen, Sharon Allen, Simon Allen, Kathryn Allison, Bethan Allman, Lynne Allsop, Hassan Al-Moasseb, Magda Al-Obaidi, Lina Alomari, Akram Al-Rabahi, Bahar Al-Ramadhani, Zayneb Al-Saadi, Inji Alshaer, Rustam Al-Shahi Salman, Warkaq Al-Shamkhani, Bashar Al-Sheklly, Sara Altaf, Mary Alvarez, Balaal Alyas, Maysaa Alzetani, Susan Amamou, Noor Amar, Sakkarai Ambalavanan, Sarah-Jayne Ambler, Robert Ambrogetti, Chris Ambrose, Amir Ameen, Kenneth Amenyah, Maria R Amezaga, Allison Amin, Amina Amin, Kanish Amin, Syed Amin, Tara Amin, Amjad Amjad, Neelma Amjad, Mariam Ammoun, Victoria Amosun, Khaled Amsha, Pugh Amy, Atul Anand, Rekha Anand, Samantha Anandappa, Julie Anderson, Kevin Anderson, Laura Anderson, Michelle Anderson, Nicola Anderson, Rachel Anderson, Rory Anderson, Wendy Anderson, Prematie Andreou, Angela Andrews, Antonette Andrews, Jill Andrews, Susan Andrews, Gregory Andrikopoulos, Kanayochukwu Aneke, Andrew Ang, Wan Wei Ang, Tammy Angel, Aramburo Angela, Paola Angelini, Lazarus Anguvaa, Oleg Anichtchik, Millicent Anim-Somuah, Krishnan Aniruddhan, Jessica Annett, Patrick J Anstey, Rebekah Anstey, Alpha Anthony, Aaron Anthony-Pillai, Philip Antill, Zhelyazkova Antonina, Varghese Anu, Muhammad Anwar, George Apostolides, Aristeidis Apostolopoulos, Sarah Appleby, Diane Appleyard, Maia Far Aquino, Bianca Araba, Samuel Aransiola, Mariana Araujo, Emily Arbon, Ann Archer, Denise Archer, Simon Archer, Christian Ardley, Ana-Maria Arias, Ryoki Arimoto, Charlotte Arkley, Charlotte Armah, Ilianna Armata, Adam Armitage, Ceri Armstrong, Maureen Armstrong, Sonia Armstrong, Sylvia Armstrong-Fisher, Philippa Armtrong, Heike Arndt, Clare Arnison-Newgass, David Arnold, Rachael Arnold, Sarah Arnott, Dhawal Arora, Kavan Arora, Pardeep Arora, Rishi Arora, Andrea Arroyo, Arslam Arter, Ayush Arya, Rita Arya, Denisa Asandei, Adeeba Asghar, Catherine Ashbrook-Raby, Glen Ashby, Helen Ashby, Jan Ashcroft, John Ashcroft, Samuel Ashcroft, Deborah Asher, Ayesha Ashfaq, Ben Ashford, Suhail Ashgar, Abdul Ashish, Sally Ashman-Flavell, Sundar Ashok, Abd-El-Aziz Ashour, Muhammad Z Ashraf, Saima Ashraf, Mohammad B Ashraq, Deborah Ashton, Susan Ashton, Andrew Ashworth, Rebecca Ashworth, Arshia Aslam, Harshini Asogan, Abigail Asquith, Atif Asrar, Omar Assaf, Raine Astin-Chamberlain, Richard Athay-Hunt, Deborah Athorne, Billie Atkins, Christopher Atkins, Stacey Atkins, John Atkinson, Vicki Atkinson, Brygitta Atraskiewicz, Claire Atterbury, Abdul Ahmad Attia, Rita Atugonza, Paula Aubrey, Avinash Aujayeb, Aye Chan Thar Aung, Hnin Aung, Kyaw Thu Aung, Ni Aung, Yin Aung, Zaw Myo Aung, Emily Austin, Karen Austin, Abdusshakur Auwal, Miriam Avery, Joanne Avis, Georgina Aviss, Cristina Avram, Paula Avram, Gabriel Awadzi, Atia Awan, Aszad Aya, Eman Ayaz, Amanda Ayers, Jawwad Azam, Mohammed Azharuddin, Ghazala Aziz, N Aziz, Ali Azkoul, Ashaari Azman Shah, Giada Azzopardi, Hocine Azzoug, Fiyinfoluwa Babatunde, Melvin Babi, Babiker Babiker, Gayna Babington, Matthew Babirecki, Marta Babores, Adetona O Babs-Osibodu, Sammy Bacciarelli, Roudi Bachar, Gina Bacon, Jenny Bacon, Bibi Badal, Gurpreet R Badhan, Shreya Badhrinarayanan, Joseph P Bae, Sibel Bafekr Mishamandani, Alice Baggaley, Amy Baggott, Graham Bagley, Dinesh Bagmane, Lynsey Bagshaw, Kasra Bahadori, James Bailey, Katie Bailey, Lindsey Bailey, Liz Bailey, Morgan Bailey, Pippa Bailey, Sarah Bailey, Stephen Bailey, Hamish Baillie, J Kenneth Baillie, Jennifer Bain, Sanchia Baines, Vikram Bains, Aimi Baird, David Baird, Susan Baird, Tracy Baird, Yolanda Baird, Aiysha Bajandouh, Charles Baker, Emma Baker, Evelyn Baker, Johanne Baker, Josephine Baker, Kenneth Baker, Rebecca Baker, Terri-Anne Baker, Victoria Baker, Hugh Bakere, Nawar Bakerly, Michelle Baker-Moffatt, Nauman Bakhtiar, Panos Bakoulas, Julie Balaam, Niranjan Balachandran, Andrea Balan, Theodosios Balaskas, Madhu Balasubramaniam, Alison Balcombe, Alexander Baldwin, Ashley Baldwin, Caron Baldwin, Danielle Baldwin, Rebekah Baldwin-Jones, James Balfour, Gagan Bali, Sonya Balkee, Ceri Ball, Kasia Ballard, Amy Ballinger, Ismael Balluz, Craig Balmforth, Emese Balogh, Amir Baluwala, Gabby Bambridge, Alasdair Bamford, Amy Bamford, Peter Bamford, Adefunke Bamgboye, Elizabeth Bancroft, Hollie Bancroft, Tanya Bancroft, Joyce Banda, Krishna Bandaru, Srini Bandi, Nageswar Bandla, Somaditya Bandyopadhyam, Amit Banerjee, Millie Banerjee, Ritwik Banerjee, Harrison Banks, Lauren Banks, Luke Banks, Paul Banks, Oliver Bannister, Bharat Bansal, Robert Banthorpe, Laura Banton, Mariamma Baptist, Tanya Baqai, Ananya Mouli Baral, Desislava Baramova, Alex Barber, Russel Barber, Emma Barbon, Miriam Barbosa, Monica Barbosa, Jamie Barbour, Alexander Barclay, Claire Barclay, George Bardsley, Stephanie Bareford, Shahedal Bari, Amy Barker, Debbie Barker, Helen Barker, Joseph Barker, Leon Barker, Oliver Barker, Kerry Barker-Williams, Sinha Barkha, Juliana Barla, Gavin Barlow, Richard Barlow, Valerie Barlow, James Barnacle, Alex Barnard, Debi Barnes, Nicky Barnes, Theresa Barnes, Calum Barnetson, Amy Barnett, Matthew Barnett, Ashton Barnett-Vanes, William Barnsley, Andrew Barr, David Barr, Shaney Barratt, Manuella Barrera, Amy Barrett, Fiona Barrett, Jessica Barrett, Joe Barry, Jazz Bartholomew, Claire Bartlett, Georgina Bartlett, Greg Barton, Jill Barton, Lorna Barton, Rachael Barton, Rosaleen Baruah, Sonia Baryschpolec, Archana Bashyal, Betsy Basker, Ayten Basoglu, Gilda Bass, John Bassett, G Bassett, Chris Bassford, Pavinder Bassi, Betsy Bassis, Bengisu Bassoy, Victoria Bastion, Anupam Basumatary, Tristan Bate, Harry J Bateman, Ian Bateman, Kathryn Bateman, Vhairi Bateman, Eleanor Bates, Hayley Bates, Michelle Bates, Simon Bates, Sally Batham, Ana Batista, Amit Batla, Dushyant Batra, Donna Batty, Harry Batty, Thomas Batty, Peter Baughan, Miranda Baum, Carina Bautista, Fareha Bawa, Fatima S Bawani, Simon Bax, Lydia Baxter, Matt Baxter, Nicola Baxter, Zachary Baxter, Hannah Bayes, Charlotte Baylem, Lee Bayliss, Eileen Bays, Farid Bazari, Rohit Bazaz, Ahmad Bazli, Laura Beacham, Wendy Beadles, Philip Beak, Andy Beale, Kirk Beard, Jack Bearpark, Karen Beaumont, Dawn Beaumont-Jewell, Theresa Beaver, Sarah Beavis, Christy Beazley, Sarah Beck, Virginia Beckett, Rosie Beckitt, Heidi Beddall, Seonaid Beddows, Deborah Beeby, Gail Beech, Michelle Beecroft, Sally Beer, Jane Beety, Gabriela Bega, Alison Begg, Susan Begg, Sara Beghini, Ayesha Begum, Salman Begum, Selina Begum, Teresa Behan, Jasmine Beharry, Roya Behrouzi, Jon Beishon, Claire Beith, James Belcher, Holly Belfield, Katherine Belfield, Ajay Belgaumkar, Dina Bell, Gareth Bell, Gill Bell, Gillian Bell, Joshua Bell, Lauren Bell, Louise Bell, Nicholas Bell, Pippa Bell, Stephanie Bell, Jennifer L Bell, Jennifer Bellamu, Mary Bellamy, Arianna Bellini, Amanda Bellis, Fionn Bellis, Lesley Bendall, Naveena Benesh, Nicola Benetti, Leonie Benham, Guy Benison-Horner, Alexander Bennett, Ann Bennett, Caroline Bennett, Christopher Bennett, Gillian Bennett, Ian Bennett, Kristopher Bennett, Lorraine Bennett, Sara Bennett, Karen Bennion, Vivienne Benson, Jane Benstead, Andrew Bentley, Dionne Bentley, James Bentley, Ian Benton, Eva Beranova, Matthew Beresford, Colin Bergin, Malin Bergstrom, Jolanta Bernatoniene, Thomas Berriman, Zoe Berry, Marnie Berwick, Kimberley Best, Ans-Mari Bester, Yvonne Beuvink, Emily Bevan, Sarah Bevins, Tom Bewick, Andrew Bexley, Sonay Beyatli, Fenella Beynon, Arjun Bhadi, Sanjay Bhagani, Shiv Bhakta, Rekha Bhalla, Khushpreet Bhandal, Kulbinder Bhandal, Ashwin Bhandari, Sangam Bhandari, Aashutosh Bhanot, Ravina Bhanot, Sruti Bhaskara, Prashanth Bhat, Nikhil Bhatia, Rahul Bhatnagar, Karan Bhatt, Janki Bhayani, Deepika Bhojwani, Salimuzzaman Bhuiyan, Anna Bibby, Fatima Bibi, Naheeda Bibi, Salma Bibi, Tihana Bicanic, Sarah Bidgood, Julie Bigg, Sarah Biggs, Alphonsa Biju, Andras Bikov, Sophie Billingham, Jessica Billings, Carron Bilton, Teodirico Binas, Martin Binney, Alice Binns, Muhammad BinRofaie, Oliver Bintcliffe, Catherine Birch, Jenny Birch, Louann Birch, Janet Birchall, Katherine Birchall, Sam Bird, Sumedha Bird, Charndip Biring, Mark Birt, Raquel Bisa, Kilanalei Bishop, Linda Bishop, Lisa Bishop, Karen Bisnauthsing, Nibedan Biswas, Sahar Biuk, Karen Blachford, Ethel Black, Helen Black, Karen Black, Mairead Black, Polly Black, Hayley Blackgrove, Bethan Blackledge, Joanne Blackler, Samantha Blackley, Helen Blackman, Stuart Blackmore, Caroline Blackstock, Loraine Blackwood, Francesca Blakemore, Helen Blamey, Alison Bland, Sujata Blane, Simon Blankley, Mary Blanton, Parry Blaxill, Jenny Blaxland, Katie Blaylock, Jane Blazeby, Carol Blears, Natalie Blencowe, Donna Blofield, Ben Bloom, Jack Bloomfield, Angela Bloss, Hannah Bloxham, Louise Blundell, Andrew Blunsum, Mark Blunt, Ian Blyth, Kevin Blyth, Andrew Blythe, Karen Blythe, Marilyn Boampoaa, Boniface Bobie, Karen Bobruk, Pritesh Bodalia, Neena Bodasing, Tanya Bodenham, Sherin Bodh, Gabriele Boehmer, Marta Boffito, Kristyna Bohmova, Sumit Bokhandi, Maria Bokhar, Saba Bokhari, Sakina Bokhari, Syed Owais Bokhari, Ambrose Boles, Sarah Bollington, Sam Bolton, Charlotte Bomken, Charlotte Bond, Hayley Bond, Helena Bond, Stuart Bond, Thomas Bond, Alice Bone, Georgia Boniface, Wendy Bonnert, Lizzy Bonney, Leigh Boorman, Catherine Booth, Joanne Borbone, Cameron Borhani, Naomi Borman, Rachel Borrell, Mamu Boshir, Fiona Bottrill, Laura Bough, Hayley Boughton, Zoe Boult, Miriam Bourke, Stephen Bourke, Michelle Bourne, Rachel Bousfield, Lucy Boustred, Darren Bowen, Kaye Bowen, Alexandra Bowes, Amy Bowes, Philip Bowker, Louise Bowman, Simon Bowman, Rachel Bowmer, Angie Bowring, Geoff Bowyer, Helen Bowyer, Carmel Boyd, Jenny Boyd, Laura Boyd, Maxine Boyd, Namoi Boyle, Pauline Boyle, Rosalind Boyle, Louise Boyles, Osman Bozdag, Leanna Brace, David Brack, Charlotte Brackstone, Rob Bradburn, Jodie Bradder, Barry Bradley, Clare Jane Bradley, Pamela Bradley, Patrick Bradley, Paul Bradley, Joanne Bradley-Potts, Lynne Bradshaw, Sarah Bradshaw, Zena Bradshaw, Rebecca Brady, Shirin Brady, Denise Braganza, Suhail Brailsford, Jill Braithwaite, Marie Branch, Thomas Brankin-Frisby, Jamie Brannigan, Louise Brassington, Sophie Brattan, Fiona Bray, Nancy Bray, Angela Brazier, Manny Brazil, Lucy Brear, Tracy Brear, Stephen Brearey, Laura Bremner, Morwenna Brend, Giovanna Bretland, Chris Brewer, Hannah Bridge, Gavin Bridgwood, Hayley Briggs, Mark Briggs, Sara Brigham, John Bright, Chris Brightling, Lutece Brimfield, Elaine Brinkworth, Robin Brittain-Long, Vianne Britten, Terri Brittin, Lauren Broad, Sarah Broad, Rosie Broadhurst, Andrew Broadley, Marie Broadway, Christopher Brockelsby, Megan Brocken, Tomos Brockley, Andrew Broderick, Mary Brodsky, Fiona Brogan, David Broggio, Liz Brohan, Felicity Brokke, Jacob Brolly, David Bromley, Hannah Brooke-Ball, Verity Brooker, Ceri Brookes, Matthew Brookes, Alison Brooks, Karen Brooks, Nicole Brooks, Philip Brooks, Rachel Brooks, Sophie Brooks, Natalie Broomhead, Chloe Broughton, Nathaniel Broughton, Matt Brouns, Marie Browett, Alison Brown, Ammani Brown, Carly Brown, Catrin Brown, Chloe Brown, Elizabeth Brown, Ellen Brown, Heather Brown, Janet Brown, Louise Brown, Niall Brown, Pauline Brown, Rachel Brown, Richard Brown, Robert Brown, Steven Brown, Tom Brown, Wayne Brown, Bria Browne, Charlotte Browne, Duncan Browne, Mitchell Browne, Stephen Brownlee, Alba Brraka, David Bruce, Johanna Bruce, Michelle Bruce, Wojciech Brudlo, Nigel Brunskill, Alan Brunton, Margaret Brunton, Mandy Bryan, Meera Bryant, April Buazon, Maya Buch, Julie Buchan, Ruaridh Buchan, Alexis Buchanan, Ruaridh Buchanan, Danielle Buche, Amanda Buck, Matthew Buckland, Laura Buckley, Philip Buckley, Sarah Buckley, Carol Buckman, Kathleen Buckmire, George Bugg, Ramadan Bujazia, Marwan Bukhari, Shanze Bukhari, Richard Bulbulia, Alex Bull, Damian Bull, Rhian Bull, Thomas Bull, Naomi Bulteel, Kasun Bumunarachchi, Roneleeh Bungue-Tuble, Caroline Burchett, Dorota Burda, Christy Burden, Thomas G Burden, Mika Burgess, Paula Burgess, Richard Burgess, Sophia Burgess, Paula Burgett, Adrian Burman, Sara Burnard, Caroline Burnett, John Burnett, Amanda Burns, Amy Burns, Collette Burns, James Burns, Karen Burns, Samuel Burns, Sarah Burns, Daniel Burrage, Sadie Burrage, Kate Burrows, Claire Burston, Ben Burton, Fiona Burton, Matthew Burton, Angela Busby, Deborah Butcher, Aaron Butler, Jessica Butler, Joanne Butler, Joshua Butler, Lesley Butler, Peter Butler, Susan Butler, Al-Tahoor Butt, Mohammad M Butt, Sophia Butt, Caryl Butterworth, Nicola Butterworth-Cowin, Robert Buttery, Tom Buttle, Heather Button, Daniel Buttress, Jane Byrne, Wendy Byrne, Victoria Byrne-Watts, Eleanor Byworth, Amanda Cabandugama, Ruth Cade, Anthony Cadwgan, Donna Cairney, James Calderwood, Darren Caldow, Moira Caldwell, Giorgio Calisti, Debbie Callaghan, Jennifer Callaghan, Claire Callens, Donaldson Callum, Caroline Calver, Melissa Cambell-Kelly, Tracey Camburn, David R Cameron, Eleanor Cameron, Fraser Cameron, Sarah Cameron, Sheena Cameron, Christian Camm, Renee F D Cammack, Alison Campbell, Amy Campbell, Barbara Campbell, Bridget Campbell, Debbie Campbell, Helen Campbell, Hilary Campbell, Jonathan Campbell, Mark Campbell, Robyn Campbell, Wynny Campbell, Quentin Campbell Hewson, Julie Camsooksai, Ana Canabarro, Lisa Canclini, Shaula Mae Candido, Janie Candlish, Cielito Caneja, Johnathon Cann, Ruby Cannan, Emma Cannon, Michael Cannon, Petra Cannon, Vivienne Cannons, Jane Cantliff, Ben Caplin, Santino Capocci, Noemi Caponi, Angelika Capp, Anne Capps-Jenner, Thomas Capstick, Ishmael Carboo, Nuria Cardenas, Mary Cardwell, Rachel Carey, Simon Carley, Tammy Carlin, Andrew Carlton, Samantha Carmichael, Mandy Carnahan, Rebecca Carnegie, Charlotte Caroline, Emily Carpenter, Jodi Carpenter, David Carr, Sharon Carr, Anna Carrasco, Samantha Carrington, Zoe Carrington, Paul Carroll, Caroline Carron, Anne Carstairs, Jonathan Carter, Michael Carter, Moira Carter, Paul Carter, Penny Carter, Steven Carter, Simon Carter-Graham, Douglas Cartwright, Jo-Anne Cartwright, Claire Carty, Sinead Carty, Jaime Carungcong, Carolyn Carveth-Marshall, Susan Casey, Annie Cassells, Barbara Cassimon, Teresa Castiello, Gail Castle, Bridget Castles, Melanie Caswell, Ana Maria Catana, Heidi Cate, Susanne Cathcart, Katrina Cathie, Christine Catley, Laura Catlow, Matthew Caudwell, Jill Caulfield, Anna Cavazza, Luke Cave, Simon Cavinato, Frianne Cawa, Kathryn Cawley, Chloe Caws, Hankins Cendl, Hannah Century, Jeva Cernova, Mansur Cesay, Ed Cetti, Stephanie Chabane, Manish Chablani, Cathleen Chabo, David Chadwick, Julie Chadwick, Robert Chadwick, Ela Chakkarapani, Arup Chakraborty, Mallinath Chakraborty, Mollika Chakravorty, James Chalmers, Richard Chalmers, Georgina Chamberlain, Sarah Chamberlain, Emma Chambers, Jonathan Chambers, Lucy Chambers, Naomi Chambers, Alex Chan, Carmen Chan, Cheuk Chan, Evelyn Chan, Kayen Chan, Kimberley Chan, Ping Chan, Rebekah (Pui-Ching) Chan, Xin Hui Chan, Chris Chandler, Heidi Chandler, Kim J Chandler, Stuart Chandler, Zoe Chandler, Vikki Chandler-Vizard, Sumit Chandra, Navin Chandran, Badrinathan Chandrasekaran, Cherry Chang, Yvonne Chang, Josephine Chaplin, Graeme Chapman, John Chapman, Katie Chapman, Laura Chapman, Lianne Chapman, Polly Chapman, Timothy Chapman, Lucy Chappell, Linda Chapple, Amanda Charalambou, Bethan Charles, Dianne Charlton, Sally Charlton, Kevin Chatar, Calvin Chatha, Ritesh Chaube, Muhammad YN Chaudhary, Iram Chaudhry, Nazia Chaudhuri, Muhammad Chaudhury, Anoop Chauhan, Ruchi S Chauhan, Vipul Chauhan, Nicola Chavasse, Iknam Chaven, Rosanna Chavez, Vipal Chawla, Maria Cheadle, Lindsay Cheater, James Cheaveau, Charlotte Cheeld, Michelle Cheeseman, Fang Chen, Hui Min Chen, Terence Chen, Lok Yin Cheng, Zhihang Cheng, Helen Chenoweth, Chun How Cheong, Shiney Cherian, Suzanne Cherif, Mary Cherrie, Helen Cheshire, Barry Chesterson, Betty Cheung, Chee Kay Cheung, Elaine Cheung, Michelle Cheung, Claire Cheyne, Swati Chhabra, Wei Ling Chia, Eric Chiang, Angela Chiapparino, Rosavic Chicano, Zviedzo A Chikwanha, Sam Chilcott, Phillipa Chimbo, KokWai Chin, Wen Jie Chin, Rumbidzai Chineka, Amol Chingale, Karen Chinn, Vashira Chiroma, Heather Chisem, Claire Chisenga, Ben Chisnall, Carolyn Chiswick, Sunder Chita, Nihil Chitalia, Matthew Chiu, Brenda Chivima, Catherine Chmiel, Soha Choi, Willy Choon Kon Yune, Vandana Choudhary, Sarah Choudhury, Bing-Lun Chow, Fateha Chowdhury, Mahibbur Chowdhury, Shahid Chowdhury, Victoria Christenssen, Peter Christian, Alexander Christides, Fiona Christie, Daniel Christmas, Thereza Christopherson, Mark Christy, Paris Chrysostomou, Yunli Chua, Shabs Chucha, Dip Chudgar, Richard Chudleigh, Srikanth Chukkambotla, Michael E Chukwu, Izu Chukwulobelu, Chi Y Chung, Ben Church, Elaine Church, Sara R Church, David Churchill, Nicole Cianci, Nick Ciccone, Paola Cicconi, Paola Cinardo, Zdenka Cipinova, Bessie Cipriano, Sarah Clamp, Melanie Clapham, Edel Clare, Sarbjit Clare, Andrew Clark, Charlotte Clark, Diane Clark, Felicity Clark, Gabrielle Clark, James Clark, Katherine Clark, Kaylea Clark, Louise Clark, Lucy Clark, Matthew Clark, Patricia Clark, Richard Clark, Thomas Clark, Wendy Clark, Zoe Clark, Andrea Clarke, Heather Clarke, Mark Clarke, Paul Clarke, Robert Clarke, Roseanne Clarke, Samantha Clarke, Sarah Clarke, Sheron Clarke, Tracy Clarke, Andrew Clarkson, Alleyna Claxton, Kate Clay, Elizabeth Clayton, Olivia Clayton, Jill Clayton-Smith, Chris Cleaver, Carlota Clemente de la Torre, Jayne Clements, Suzanne Clements, Francesca Clemons, Lee Clifford, Lynne Clifford, Rachael Clifford, Sarah Clifford, Amelia Clive, Jonathan Clouston, Samantha Clueit, Andrea Clyne, Michelle Coakley, Peter G L Coakley, Tony Coates, Kathryn Cobain, Alexandra Cochrane, Patricia Cochrane, Maeve Cockerell, Helen Cockerill, Shirley Cocks, Rachel Codling, Adam Coe, Samantha Coetzee, David Coey, Danielle Cohen, Jonathan Cohen, Oliver Cohen, Mike Cohn, Louise Coke, Olutoyin Coker, Nicholas Colbeck, Roghan Colbert, Carol Cole, Esther Cole, Jade Cole, Joby Cole, Julie Cole, Richard Cole, Sue Cole, Garry Coleman, Matt Coleman, Holly Coles, Rebecca Coles, Macleod Colin, Alicia Colino-Acevedo, Julie Colley, Dawn Collier, Heather Collier, Paul Collini, Emma Collins, Jaimie Collins, Joanne Collins, Nicola Collins, Sally Collins, Vicky Collins, Andrew Collinson, Bernadette Collinson, Jennifer Collinson, Matthew Collis, Madeleine Colmar, Hayley E Colton, James Colton, Katie Colville, Carolyn Colvin, Ryan Colwell, Edward Combes, David Comer, Alison Comerford, Mike Comery, Dónal Concannon, Robin Condliffe, Lynne Connell, Natalie Connell, Karen Connelly, Gavin Connolly, Mireille Connolly, Emma Connor, Samantha Conran, Antonia Conroy, Veronica Conteh, Rory Convery, Camilla Conway, Francesca Conway, Grainne Conway, Rhiannon Conway, Jo-Anna Conyngham, Colette Cook, Eloise Cook, Gemma Cook, Helen Cook, Julie Cook, Danielle Cooke, Graham Cooke, Katrina Cooke, Soo Cooke, Tim Cooke, Adele Cooper, Alison Cooper, Chris Cooper, David Cooper, Helen Cooper, Jamie Cooper, Joanne Cooper, Joshua Cooper, Laura Cooper, Lauren Cooper, Nick Cooper, Rowena Cooper, Emma Cooperwaite, Thomas Cope, Sinead Corbet, Carolyn Corbett, John Corcoran, Chris Cordell, Jessica Cordle, Alasdair Corfield, John Corless, Alison Corlett, Joe Cornwell, Michael Cornwell, Diana Corogeanu, Mirella Corredera, Ruth Corrigan, Catherine Corry, Rita Corser, Denise Cosgrove, Tracey Cosier, Patricia Costa, Charlie Coston, Susannah Cotgrove, Zoe Coton, Lisa-Jayne Cottam, Rhiannon Cotter, Donna Cotterill, Alice Cotton, Caroline Cotton, Katy Cotton, Andrew Coull, James Coulson, David Counsell, David Counter, Cherry Coupland, Ellie Courtney, Julia Courtney, Rebecca Cousins, Alexander Cowan, Elena Cowan, Ruth Cowburn, Richard Cowell, Louise Cowen, Steve Cowman, Amanda Cowton, Debra Anne Cox, Ellie Cox, Giles Cox, Karina Cox, Miriam Cox, Karen Coy, Beverly Craig, Victoria Craig, Felicity Craighead, Matthew Cramp, Beverley Crane, Jacolene Crause, Adrian Crawford, Angie Crawford, Emma Crawford, Isobel Crawford, Richard Crawforth, Sarah Crawshaw, Ben Creagh-Brown, Andrew Creamer, Ryan Creighton, Joanne Cremona, Saveria Cremona, Janet Cresswell, Mark Cribb, Charles Crichton, Declan Crilly, Lauren Crisp, Nikki Crisp, Dominic Crocombe, Maria Croft, Ian Cron, Derrick Crook, Jennifer Crooks, Helen Croot, Harriet Crosby, Sarah Cross, Tim Cross, Amy Crothers, Stephen Crotty, Susan Crouch, Madeleine Crow, Amanda Crowder, Kate Crowley, Teresa Crowley, Rebecca Croysdill, Callum Cruickshank, Conor Cruickshank, Irena Cruickshank, James Cruise, Helen Crumley, Carina Cruz, Trino Cruz Cervera, Dominic Cryans, Guanguo Cui, Helen Cui, Donna Cullen, Lorraine Cullen, Gillian Cummings-Fosong, Marie Cundall, Victoria Cunliffe, Lorraine Cunningham, Neil Cunningham, Nicola Cunningham, Jason Cupitt, Hollie Curgenven, Debra Curley, Gerens Curnow, David Curran, Simon Curran, Craig Currie, Jacqueline Currie, Scarlett Currie, Abi Curtis, Becca Curtis, Jonathan Curtis, Katrina Curtis, Olivia Curtis, Thomas Curtis, Rebecca Cuthbertson, Sean Cutler, Marta Czekaj, Patrycja Czylok, Joana da Rocha, Andrew Dagens, Helen Daggett, Phil Daggett, Jacqui Daglish, Sandeep Dahiya, Helen Dakers-Black, Anne Dale, Katie Dale, Michaela Dale, Sam Dale, Jolyon Dales, Helen Dalgleish, Nikki Dallas, Helen Dallow, Dermot Dalton, Zoe Daly, Akila Danga, Amelia Daniel, Priya Daniel, Allison Daniels, Adela Dann, Sandra Danso-Bamfo, Nimo Daoud, Alex Darbyshire, Janet Darbyshire, Paul Dargan, Paul Dark, Tace Darling, Kate Darlington, Tom Darton, Guledew Darylile, Manjusha Das, Sukamal Das, Martin Daschel, Joanne Dasgin, Dibyendu Datta, Anna Daunt, Emily Davenport, Mark Davey, Michelle Davey, Miriam Davey, Molly Davey, Arlene David, Mini David, Alexander Davidson, Laura Davidson, Neil Davidson, Richard Davidson, Albert Davies, Alison Davies, Amanda Davies, Amy Davies, Angela Davies, Carolyn Davies, Catrin Davies, Cheryl Davies, Drew Davies, Elaine Davies, Ffyon Davies, Helen Davies, James Davies, Jane Davies, Jeni Davies, Jim Davies, Karen Davies, Kelly Davies, Kim Davies, Louisa Davies, Mark Davies, Matthew Davies, Michelle Davies, Nina Davies, Owen Davies, Patrick Davies, Rachel Davies, Rhys Davies, Ruth Davies, Sarah Davies, Simon Davies, Alison Davis, Gwyneth Davis, Illinos Davis, Julie-Ann Davis, Katherine Davis, Peter Davis, Alexander Davison, Sophia Davison, Mark Davy, Christine Dawe, H Dawe, Mark Dawkins, Danielle Dawson, Elizabeth Dawson, Joy Dawson, Susan Dawson, Tom Dawson, Andrew Daxter, Andrew Day, Helena Day, Jacob Day, Jeremy Day, Lynn Day, Jamie D'Costa, Parijat De, Duneesha de Fonseka, Toni de Freitas, Frederico De Santana Miranda, Eleanor de Sausmarez, Shanika de Silva, Thushan de Silva, Jessica De Sousa, Paulo De Sousa, James de Souza, Anthony de Soyza, Natasha de Vere, Johannes de Vos, Bethan Deacon, Sharon Dealing, Anna Dean, Julie Dean, Katrina Dean, Stephen Dean, Tessa Dean, Jill Deane, James Dear, Effie Dearden, Alison Deary, Catherine Deas, Samuel Debbie, Gabor Debreceni, Vashist Deelchand, Matthew Deeley, Joanne Deery, Emmanuel Defever, Raji Dehulia, Max Deighton, Manuela Del Forno, Arnold Dela Rosa, Lisa Delaney, Amanda Dell, Carrie Demetriou, David DeMets, Jane Democratis, Jacqueline Denham, Emmanuelle Denis, Laura Denley, Craig Denmade, Kathy Dent, Martin Dent, Elise Denton, Tom Denwood, Nishigandh Deole, Darshita Depala, Maria Depante, Randle Derbyshire, Susan Dermody, Amisha Desai, Asmita Desai, Purav Desai, Sanjeev Deshpande, Vai Deshpande, Brendan Devine, Sirjana Devkota, Nicola Dewland, Prakash Dey, Vishal Dey, Rogin Deylami, Jazz Dhaliwal, Kevin Dhaliwal, Jas Dhalliwal, Mandeep Dhanda, Sundip Dhani, Amandeep Dhanoa, Mili Dhar, Devesh Dhasmana, Aman Dhesi, Ekanjali Dhillon, Reiss Dhillon, Pamela Diamond, Priya Dias, Stephanie Diaz, Kayleigh Diaz-Pratt, Debbie Dickerson, Pamela Dicks, Stuart Dickson, Julie Dijo, Sean Dillane, Sarah Diment, Paul Dimitri, Maria Dineen, ThaiHa Dinh, Tri Dinh, Alex Dipper, Laura Dirmantaite, Lisa Ditchfield, Sarah Diver, Lavanya Diwakar, Caroline Dixon, Giles Dixon, Stephen Dixon-Mould, Brice Djeugam, Petr Dlouhy, Laurence Dobbie, Marinela Dobranszky Oroian, Charlotte Dobson, Lee Dobson, Marie Docherty, David Dockrell, James Dodd, Jackie Dodds, Rebecca Dodds, Steve Dodds, Richi Dogra, Erin Doherty, Warren Doherty, Yumiko Doi, Iain Doig, Eleanor Doke, Daniel Dolan, Mark Dolman, Rozzie Dolman, Lisa Donald, Callum Donaldson, Christopher Donaldson, Denise Donaldson, Gillian Donaldson, Kate Donaldson, Joanne Donnachie, Christopher Donnelly, Eilish Donnelly, Ronan Donnelly, Aravindhan Donohoe, Gemma Donohoe, Bryan Donohue, Sinead Donton, Emma Dooks, Grainne Doran, Kane Dorey, Sharon Dorgan, Amanda Dornan, Moonira Dosani, Davinder Dosanjh, Paula Dospinescu, Katie Douglas, Jonathan Douse, Lucy Dowden, Michelle Dower, Kerry Dowling, Sud Dowling, Nicola Downer, Charlotte Downes, Rob Downes, Thomas Downes, Damian Downey, Philippa Downey, Robert Downey, Louise Downs, Simon Dowson, Cornel Dragan, Cristina Dragomir, Cristina Dragos, Maire Drain, Chelsea Drake, Victoria Drew, Olivia Drewett, Celine Driscoll, Helena Drogan, Nikki Drogman, Graham Drummond, Ronald Druyeh, Simon Drysdale, An Du Thinh, Hazel Dube, Judith Dube, Ophias Dube, Stephen Duberley, Hayley Duckles-Leech, Nicola Duff, Emma Duffield, Sam Duff-Miller, Helen Duffy, Lionel Dufour, Annette Duggan, Helen Duggan, Parveen Dugh, Janice Duignan, Mick Duley, Simon Dummer, Andrew Duncan, Christopher Duncan, Fullerton Duncan, Gregory Duncan, Stephanie Dundas, Alessia Dunn, Charlotte Dunn, Damian Dunn, Laura Dunn, Paul Dunn, Charlene Dunne, Karen Dunne, Fiona Dunning, Aidan Dunphy, Venkat Duraiswamy, Beatriz Duran, Ingrid DuRand, Steve Durgacharan, Natalie Duric, Alison Durie, Emily Durie, Hannah Durrington, Haris Duvnjak, Akshay Dwarakanath, Laasya Dwarakanath, Ellen Dwyer, Claudia Dyball, Lee Dyble, Kristyn Dyer, Harvey Dymond, Tom Dymond, Chris Eades, Laura 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Elliott, Toby Elliott, Annie Ellis, Ann-Marie Ellis, Christine Ellis, Kay Ellis, Kaytie Ellis, Tak-Yan Ellis, Yvette Ellis, Megan Ellison, Rahma Elmahdi, Einas Elmahi, Hannah-May Elmasry, Mohammed Elmi, Najla Elndari, Omer Elneima, Mohamed Elokl, Ahmed Elradi, Mohamed Elsaadany, Sally El-Sayeh, Hana El-Sbahi, Tarek Elsefi, Karim El-Shakankery, Robert Elshaw, Hosni El-Taweel, Sarah Elyoussfi, Jonathan Emberey, Jonathan R Emberson, John Emberton, Julian Emmanuel, Ingrid Emmerson, Michael Emms, Florence Emond, Marieke Emonts, Nicu Enachi, Angila Engden, Katy English, Emma Entwistle, Hene Enyi, Marios Erotocritou, Helen Escreet, Peter Eskander, Hanif Esmail, Lise Estcourt, Amy Evans, Brynach Evans, Chris Evans, Daren Evans, Debra Evans, Gail Evans, Gareth Evans, Jennifer Evans, Lisa Evans, Lynn Evans, Margaret Evans, Michelle Evans, Mim Evans, Morgan Evans, Ranoromanana Evans, Ryan Evans, Teriann Evans, Terry John Evans, Tony Eve, Caroline Everden, Serenydd Everden, Hayley Evison, Lynsey Evison, Penny Eyton-Jones, Jacqueline Faccenda, Leila Fahel, Youstina Fahmay, Sara Fairbairn, Terry Fairbairn, Andy Fairclough, Louise Fairlie, Mark Fairweather, Anne Fajardo, Naomi Falcone, Euan Falconer, Jonathan Falconer, John Fallon, Andrea Fallow, David Faluyi, Victoria Fancois, Qayyum Farah, Novin Fard, Amr Farg, Margaret Farinto, Adam Farmer, Katie Farmer, Toni Farmery, Samantha Farnworth, Faiyaz Farook, Hadia Farooq, Sidrah Farooq, Fiona Farquhar, Karen Farrar, Aaron Farrell, Barbara Farrell, James Farthing, Syeda Farzana, Rahmatu Fasina, Azam Fatemi, Mina Fatemi, Nibah Fatimah, Maria Faulkner, Saul N Faust, Joe Fawke, Sinmidele Fawohunre, Abul Fazal, Kelly Feane, Simon Fearby, Alex Feben, Federico Fedel, Daria Fedorova, James Feely-Henderson, Christopher Fegan, Mae Felongco, Lynsey Felton, Tim Felton, Kate Fenlon, Andrea Fenn, Isabelle Fenner, Ciara Fenton, Melisa Fenton, Cameron Ferguson, Jenny Ferguson, Kathryn Ferguson, Katie Ferguson, Stephanie Ferguson, Susan Ferguson, Susie Ferguson, Victoria Ferguson, Denzil Fernandes, Candida Fernandez, Eduardo Fernandez, Maria Fernandez, Sonia Fernandez Lopez, Callum Jeevan Fernando, Ahmed Feroz, Pietro Ferranti, Thais Ferrari Gersogamo, Eleanor Ferrelly, Alexandra Ferrera, Emma Ferriman, Nicholas Fethers, Ben Field, Janet Field, Rebecca Field, Karen Fielder, Lindsey Fieldhouse, Andra Fielding, Julie Fielding, Len Fielding, Sarah Fielding, Asma Fikree, Sarah Ann Filson, Sarah Finbow, Debbie Finch, Joanne Finch, Laurie Finch, Joanne Finden, Natalie Fineman, Lauren Finlayson, Adam Finn, Joanne Finn, Clare Finney, Sofia Fiouni, Jo Fiquet, Dani Fisher, Emily Fisher, James Fisher, Neil Fisher, Meadow Fisher Crisp, Daniel Fishman, Krystofer Fishwick, Lorraine Fitzgerald, Chloe Fitzpatrick-Creamer, Jan Flaherty, Michael Flanagan, Charles Flanders, Cathy Flatters, Julie Fleming, Lucy Fleming, Paul Fleming, William Flesher, Alison Fletcher, Jonathan Fletcher, Lucy Fletcher, Simon Fletcher, Sophie Fletcher, Karen Flewitt, Christopher Flood, Ian Floodgate, Vincent Florence, Sharon Floyd, Kelly Flynn, Rachel Flynn, Sara Flynn, Claire Foden, Adama Fofana, Georgina Fogarty, Claire Foley, Paul Foley, Linda Folkes, Daniela Mock Font, Evodian Fonyonga, Aiwyne Foo, Jane Foo, Andrew Foot, Jayne Foot, Jane Forbes, Jamie Ford, Kathy Ford, Jennifer Foreman, Caroline Fornolles, Adam Forrest, Ellie Forsey, Miranda Forsey, Thomas Forshall, Elliot Forster, Julian Forton, Emily Foster, Joseph Foster, Rachel A Foster, Tracy Foster, Theodora Foukanelli, Angela Foulds, Ian Foulds, Folakemi Fowe, Emily Fowler, Robert Fowler, Stephen Fowler, Caroline Fox, Claire Fox, Daniel Fox, Heather Fox, Jonathan Fox, Lauren Fox, Natalie Fox, Olivia Fox, Simon Fox, Sarah-Jane Foxton, Yasin Fozdar, Rebecca Frake, Alex Francioni, Olesya Francis, Rebecca Francis, Sarah Francis, Theodora Francis-Bacon, Jason Frankcam, Helen Frankland, Gayle Franklin, Jessica Franklin, Darron Franks, Catherine Fraser, Laura Fraser, Sharon Frayling, Martyn Fredlund, Matthew Free, Carol Freeman, Elaine Freeman, Hannah Freeman, Nicola Freeman, Clare Freer, Ian Freestone, Eleanor French, Matthew Frise, Renate Fromson, Claire Froneman, Adam Frosh, John Frost, Victoria Frost, Oliver Froud, Rachel Frowd, Arun Fryatt, Jake Fryer, Janet Fu, Bridget Fuller, Liz Fuller, Neil Fuller, Tracy Fuller, Duncan Fullerton, Jenny Fullthorpe, Carrie Fung, Gayle Fung, Sarah Funnell, John Furness, Charlene Furtado, Andrew Fyfe, Nytianandan G, Elizabeth Gabbitas, Claire Gabriel, Diana Gabriel, Hadiza Gachi, Rose Gad, Joshua Gahir, Sarveen Gajebasia, Katarzyna Gajewska-Knapik, Zacharoula Galani, Christopher Gale, Hugo Gale, Rebecca Gale, Swetha Gali, Karen Galilee, Bernadette Gallagher, Jude Gallagher, Rosie Gallagher, William Gallagher, Joanne Galliford, Catherine Galloway, Chris Galloway, Emma Galloway, Jacqui Galloway, James Galloway, Laura Gamble, Liz Gamble, Brian Gammon, Jaikumar Ganapathi, Ramesh Ganapathy, Kaminiben Gandhi, Sarah Gandhi, Usha Ganesh, Abrar Gani, Emma-James Garden, Antoni D Gardener, Emma Gardiner, Jill Gardiner, Michael Gardiner, Phil Gardiner, Siobhan Gardiner, Caroline Gardiner-Hill, Jonathan Gardner, Mark Garfield, Atul Garg, Nathan Garlick, Justin Garner, Lucie Garner, Zoe Garner, Kimberley Garnett, Robert Garney, Rosaline Garr, Michael Garstka, Peter Gartan, Florence Garty, Rachel Gascoyne, Hyeriju Gashau, Noha Gasmalseed, Michaela Gaspar, Aoife Gatenby, Erin Gaughan, Alok Gaurav, Mariana Gavrila, Jane Gaylard, Emma Gaywood, Catherine Geddie, Alison Geddis, Ian Gedge, Sarah Gee, Minerva Gellamucho, Karzan Gelly, Leila Gelmon, Sandra Gelves-Zapata, Gemma Genato, Susan Gent, Natalie Geoghegan, Chloe George, Sam George, Tina George, Simon Georges, Domonique Georgiou, Peter Gerard, Leigh Gerdes, Louise Germain, Helen Gerrish, Abel Getachew, Louise Gethin, Hisham Ghanayem, Amardeep Ghattaoraya, Anca Gherman, Alison Ghosh, Justin Ghosh, Sudhamay Ghosh, Sarra Giannopoulou, Malick Gibani, Andrew Gibb, Ben Gibbison, Kerry Gibbons, Alex Gibson, Bethan Gibson, Kimberley Gibson, Kirsty Gibson, Sian Gibson, Cat Gilbert, Jeanette Gilbert, Joanne Gilbert, Kayleigh Gilbert, Sean Gilchrist, Benjamin Giles, Mandy Gill, Rose Gill, Lynne Gill, Paul Gillen, Annelies Gillesen, Katherine Gillespie, Matt Gillespie, Elizabeth Gillham, Andrew Gillian, Deborah Gilliland, Robert Gillott, Danielle Gilmour, Kate Gilmour, Theodora Giokanini-Royal, Anna Gipson, Joanna Girling, Rhian Gisby, Angelena Gkioni, Aikaterini Gkoritsa, Effrossyni Gkrania-Klotsas, Amy Gladwell, James Glanville, Jessica Glasgow, Susannah Glasgow, Jon Glass, Lynn Glass, Sharon Glaysher, Lisa Gledhill, Ana Glennon, John Glover, Kyle Glover, Jan Glover Bengtsson, Chevanthy Gnanalingam, Julie Goddard, Wendy Goddard, Emily Godden, Jo Godden, Gillian Godding, Emma Godson, Gerry Gogarty, Sukanya Gogoi, Aiky Goh, Rebeca Goiriz, Sriya Gokaraju, Philip Gold, Raphael Goldacre, Arthur Goldsmith, Portia Goldsmith, Darren Gomersall, Lucia Gomez, Raquel Gomez-Marcos, Ali Gondal, Celia Gonzalez, Jack Goodall, Bob Goodenough, Laura Goodfellow, James Goodlife, Camelia Goodwin, Elizabeth Goodwin, Jayne Goodwin, Paula Goodyear, Rajiv Gooentilleke, Sharif Goolam-Hossen, Michelle Goonasekara, Sheila Gooseman, Shameer Gopal, Peter Gordon, Sally Gordon, Hugh Gorick, Caitlin Gorman, Claire Gorman, Stuart Gormely, Diana Gorog, Jan Gorry, Michelle Gorst, Thomas Gorsuch, Jayshreebahen Gosai, Rebecca Gosling, Sally Gosling, Georgina Gosney, Vanessa Goss, Dzintars Gotham, Naomi Gott, Elizabeth Goudie, Amanda Gould, Angela Gould, Susan Gould, Lysander Gourbault, Anna Gouveia, Abha Govind, Sharon Gowans, Girish Gowda, Rohit Gowda, Pauline Gowdy, Hannah Gower, Thomas Gower, Pankaj Goyal, Sunil Goyal, Sushant Goyal, Beverley Graham, Clive Graham, Jane Graham, Jonathan Graham, Justin Graham, Libby Graham, Sharon Graham, Matthew Graham-Brown, Julia Grahamslaw, Gianluca Grana, Tracyanne Grandison, Louis Grandjean, Alison Grant, Ann Grant, David Grant, Matthew Grant, Pauleen Grant, Rhys Gravell, Jenny Graves, Alasdair Gray, Catherine Gray, Georgina Gray, Harriet Gray, Ingrid Gray, Jackie Gray, Karen Gray, Nicola Gray, Sebastian Gray, Alan Grayson, Patricia Grealish, Fiona Greaves, Jack Greaves, Paul Greaves, Charlotte Green, Christopher Green, David Green, Frederick Green, Grace Green, Joel Green, Marie Green, Nicola Green, Stacey Green, Teresa Green, Diarra Greene, Philippa Greenfield, Alan Greenhalgh, Maraneka Greenslade, Daniel Greenwood, Sandra Greer, James Gregory, Jane Gregory, Katie Gregory, Tamsin Gregory, James Gregson, Jill Greig, Julia Greig, Rebecca Grenfell, Teena Grenier, Susan Grevatt, Glaxy Grey, Andrew Gribbin, Amy Gribble, Beverley Grice, Natasha Grieg, Douglas Grieve, Ben Griffin, Denise Griffin, Mel Griffin, Sian Griffith, Alexandra Griffiths, Andrew Griffiths, Daniel Griffiths, David Griffiths, Donna Griffiths, Isabel Griffiths, Mark Griffiths, Nicola Griffiths, Oliver Griffiths, Sarah Griffiths, Sharon Griffiths, Yvonne Griffiths, Sofia Grigoriadou, Steph Grigsby, Paul Grist, Stephen Grist, Evelina Grobovaite, Clarissa Grondin, Rachel Groome, Liliana Grosu, Jenny Grounds, Margaret Grout, Helen Grover, Jayne Groves, Neil Grubb, Julie Grundy, Francesca Guarino, Sharada Gudur, Sharazeq Guettari, Shivang Gulati, Vikas Gulia, Pumali Gunasekera, Malin Gunawardena, Kirun Gunganah, Jessica Gunn, Emma Gunter, Alok Gupta, Atul Gupta, Rajeev Gupta, Richa Gupta, Rishi Gupta, Tarun Gupta, Vineet Gupta, Ankur Gupta-Wright, Victoria Guratsky, Alvyda Gureviciute, Sambasivarao Gurram, Bhawana Gurung, Shraddha Gurung, Hazel Guth, Ruth Habibi, Berkin Hack, Pamela Hackney, Christian Hacon, Aiman Haddad, Denise Hadfield, Michalis Hadjiandreou, Nikolaos Hadjisavvas, Leah Hadzik, Anna Haestier, Nauman Hafiz, Rana Hafiz-Ur-Rehman, Javed Hafsa, Samantha Hagan, Jack W Hague, Rosemary Hague, Kate Haigh, Christina Haines, Scott Hainey, Morton Hair, Brigid Hairsine, Juraj Hajnik, Anne Haldeos, Writaja Halder, Jennie Hale, Carmel Halevy, Paul Halford, William Halford, Alistair Hall, Anthony Hall, Claire Hall, Elizabeth Hall, Emma Hall, Fiona Hall, Helen Hall, Jennifer Hall, Kathryn Hall, Bill Hall, Jan Hallas, Kyle Hallas, Charles Hallett, Becky-Lee Halls, Heather Halls, Maryam Hamdollah-Zadeh, Bilal Hameed, Imran Hamid, Mohamad Hamie, Bethany Hamilton, Fergus Hamilton, Leigh Hamilton, Nicola Hamilton, Ruth Hamlin, Eleanor Hamlyn, Beatrice Hammans, Shirley Hammersley, Kate Hammerton, Bev Hammond, Leah Hammond, Sara Hammond, Fiona Hammonds, Ibrahim Hamoodi, Karen Hampshire, Elizabeth Hampson, Jude Hampson, Lucy Hampson, Ozan Hanci, Ian Hancock, Sadiyah Hand, Jasmine Handford, Soran Handrean, Sarah Haney, Sheharyar Hanif, E Hanison, Alison Hanlon, Jennifer Hannah, Amy Hannington, Merhej Hannun, Aidan Hanrath, Anita Hanson, Jane Hanson, Kathryn Hanson, Steve Hanson, Helen Hanwell, Mazhar Ul Haq, Ala Haqiqi, Monjurul Haque, Lesley Harden, Zoe Harding, Simon Hardman, Joanna Hardy, Kumar Haresh, Rachel Harford, Beverley Hargadon, Carolyn Hargreaves, Emily Hargreaves, James Hargreaves, Alice Harin, Mohammed Haris, Edward Harlock, Sandra Harlow, Paula Harman, Tracy Harman, Mark Harmer, Muhammad A Haroon, Charlie Harper, Fiona Harper, Heather Harper, Melanie Harper, Peter Harper, Rosemary Harper, Sarah Harrhy, Sian Harrington, Yasmin Harrington-Davies, Jade Harris, Jess Harris, John Harris, Laura Harris, Marie-Clare Harris, Naomi Harris, Nichola Harris, Sophie Harris, Alex Harrison, David Harrison, Julie Harrison, Laura Harrison, Melanie Harrison, Rowan Harrison, Susie Harrison, Thomas Harrison, Wendy Harrison, Elizabeth Harrod, Ciaran Hart, Dominic Hart, Lisa Hartley, Rosemary Hartley, Ruth Hartley, Tom Hartley, William Hartrey, Phillipa Hartridge, Stuart Hartshorn, Heli Harvala, Alice Harvey, Angela Harvey, Max Harvey, Catherine Harwood, Helen Harwood, Brigitte Haselden, Kazi Hashem, Mohammed Hashimm, Tadaaki Hashimoto, Imranullah Hashmi, Sarah Haskins, Zena Haslam, Adil Hassan, Ali Hassan, Wagae UI Hassan, Waqar Ul Hassan, Sapna Hassasing, Jane Hassell, Philip Hassell, Alex Hastings, Bethany Hastings, Janice Hastings, Stephanie Hatch, Jonathan Hatton, Sheryl Haviland, May Havinden-Williams, Stefan Havlik, Daniel B Hawcutt, Kadean Hawes, Liz Hawes, Nicola Hawes, Annie Hawkins, Catherine Hawkins, Nancy Hawkins, Tanya Hawkins, Dan Hawley, Ed Hawley-Jones, Edward Haworth, Cathy Hay, Amna Hayat, Jamal Hayat, Mohamed-Riyal Hayathu, Tamsin Haydon, Anne Hayes, Jonas Hayes, Kate Hayes, Melony Hayes, Vanessa Hayes, Fiona Hayes, Patrick Hayle, Chloe Haylett, Antara Hayman, Melanie Hayman, Matthew Haynes, Richard Haynes, Rachel Hayre, Sarah Haysom, James Hayward, Patrick Haywood, Tracy Hazelton, Phoebe Hazenberg, Zhengmai He, Elizabeth Headon, Carrie Heal, Brendan Healy, Amy Hearn, Angela Heath, Rowan Heath, Diane Heaton, Kerry Hebbron, Gemma Hector, Andy Hedges, Katrine Hedges, Cheryl Heeley, Elaine Heeney, Rajdeep Heire, Ulla Hemmila, Cassie Hemmings, Scott 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Hill, Phoebe Hill, Uta Hill, Annette Hilldrith, Elizabeth Hillerby, Catherine Hillman-Cooper, Elisabeth Hilton, Zoe Hilton, Sarah Hinch, Marcus Hinde, Andrew Hindle, Alice Hindmarsh, Paul Hine, Kim Hinshaw, Clare Hird, Alison Hirst, Jemma Hives, Benson Ho, Michaela Hoare, David Hobden, Gill Hobden, Maria Hobrok, Simon Hobson, Renate Hodge, Simon Hodge, Lesley Hodgen, Holly Hodgkins, Louise Hodgkinson, Sally Hodgkinson, David Hodgson, Helen Hodgson, Luke Hodgson, Sheila Hodgson, Gemma Hodkinson, Kenneth Hodson, Matthew Hogben, Lucy Hogg, Lee Hoggett, Abigail Holborow, Catherine Holbrook, Catherine Holden, Melinda Holden, Thomas Holder, Niels Holdhof, Hannah Holdsworth, Lisa Holland, Maureen Holland, Nicky Holland, Marie Hollands, Elizabeth Holliday, Nina Holling, Gillian Hollis, Laszlo Hollos, Linda Holloway, Simon Holloway, Marcus Hollyer, Amy Holman, Ann Holmes, Benjamin Holmes, Megan Holmes, Raphael Holmes, Rebecca Holmes, Kelly Holroyd, Caroline Holt, Lyndsey Holt, Siobhan Holt, Susie Holt, Alexandra Holyome, Marie Home, Toni Home, Renate Homewood, Kate Hong, Laura Hontoria del Hoyo, Clare Hooper, Sarah Hoosdally, Samantha Hope, Susan Hope, Bridget Hopkins, Peter W Horby, Stephanie Horler, Anil Hormis, Daniel Hornan, Nicola Hornby, Zoey Horne, Latoya Horsford, Megan Horsford, Mark Horsford, Valana Horsham, Alexander Horsley, Ashley Horsley, Elizabeth Horsley, Sarah Horton, Nicola Horton-Turner, Jane Hosea, Toby Hoskins, Muhammad S Hossain, Rashed Hossain, Leanne Hostler, Maxine Hough, Sarah Hough, Brittany Houghton, Catherine Houghton, Iain Houghton, Kathryn Houghton, Rebecca Houlihan, Angela Houston, Hamish Houston, Tawedzegwa Hove, Roseanna Hovvels, Lee How, Laura Howaniec, Laura Howard, Linda Howard, Lucy Howard, Sarah Howard, Stuart Howard, Richard Howard-Griffin, Alison Howarth, Diane Howarth, Serena Howe, Mark Howells, Lyn Howie, Kerry Howlett, Sophie Howlett, Joanne Hoyle, Josh Hrycaiczuk, Naing Zaya Htoon, Su Htwe, Ying Hu, Chiang Ooi Huah Huah, Abby Huckle, Shahzya Huda, Alison Hudak, Lisa Hudig, Alex Hudson, Cara Hudson, Heather Hudson, Peter Hudson, Oli Hudson, Alison Hufton, Connor Huggins, Alistair Hughes, Eithne Hughes, Emma Hughes, Gareth Hughes, Heather Hughes, Luke Hughes, Rachel Hughes, Rebecca Hughes, Samantha Hughes, Stephen Hughes, Vikki Hughes, Wesley Hughes, Lukas Huhn, Ching Hui, Ruth Hulbert, Diana Hull, Grace Hull, Robert Hull, Amanda Hulme, Peter Hulme, Wendy Hulse, George Hulston, Ryan Hum, Laura Humber, Megan Hume, Charlotte Humphrey, Ismay Humphreys, Alasdair Humphries, Joanne Humphries, Lena Hunold, Fiona Hunt, Kristen Hunt, Luke Hunt, Sophie Hunt, Al Hunter, Alexandra Hunter, Isobel Hunter, Karl Hunter, Neil Hunter, George Huntington, Elizabeth Hurditch, Cian Hurley, Katrina Hurley, Mohammed A Husain, Syeda Yusra Husaini, Coralie Huson, Afreen Hussain, Ibraar Hussain, Ifza Hussain, Mohammad Hussain, Muhammad Hussain, Reda Hussain, Sajid Hussain, Samia Hussain, Sanniah Hussain, Wasim Hussain, Yasmin Hussain, Mohammed Hussam El-Din, Raheem Hussein, Rebecca Hussey, Camille Hutchinson, Dorothy Hutchinson, Elizabeth Hutchinson, John Hutchinson, Claire Hutsby, Paula Hutton, Daniella Hydes, Jamie Hyde-Wyatt, Niamh Hynes, Megan Hyslop, Mazen Ibraheim, Abdalla Ibrahim, Ahmed Ibrahim, Asil Ibrahim, Mohamed Ibrahim, Monzeer Ibrahim, Wadah Ibrahim, Adetokunbo I Idowu, Muhammad Idrees, Hina Iftikhar, Mawara Iftikhar, Chukwuemeka Igwe, Mohammad Ijaz, Amaju Ikomi, Clare Iles, Stamatina Iliodromiti, Mary Ilsley, Lorna Ilves, La'ali Imam-Gutierrez, Christopher Imray, Alison Imtiaz, Haider Imtiaz, Claire Ingall, Jack Ingham, Julie Ingham, Rory Ingham, Tejas Ingle, Jennifer Inglis, Anne Ingram, Luke Ingram, Peter Inns, Ken Inweregbu, Andreea A Ionescu, Ana Ionita, Ilian P Iordanov, Anil Ipe, Adil Iqbal, Madiha Iqbal, Mohammed Iqbal, Faisal Iqbal Sait, Jane Ireland, Robert Irons, Mohannad Irshad, Muhammad S Irshad, Janice Irvine, Val Irvine, Pamela Irving, Robert Irving, Mina Ishak, Erica Isherwood, Aminul Islam, Abdurrahman Islim, Ali Ismail, Omar Ismail, Caroline Ison, M'hamedi Israa, Sharon Isralls, Ali Issa, Monica Ivan, Catrina Ivel, Chineze Ivenso, Ashleigh Ivy, Sophie Iwanikiw, Karen Ixer, Menaka Iyer, Mia Iyer, Calum Jack, Amanda Jackson, Anthony Jackson, Ben Jackson, Beth Jackson, Douglas Jackson, Ella Jackson, Hayley Jackson, Helen Jackson, Jane Jackson, Julie Jackson, Karin Jackson, Lauren Jackson, Melanie Jackson, Nicola Jackson, Shane Jackson, Sharon Jackson, Nikita Jacob, Patricia Jacob, Reni Jacob, Nicola Jacques, Terri-Lisa Jacques-Brown, Anisa Jafar, Daniel Jafferji, Ali Jaffery, Chandrashekar Jagadish, Vijay Jagannathan, Sam Jaggard, Mandeep Jagpal, Fernandez R Jaime, Neemisha Jain, Seema Jain, Susan Jain, Sanjay Jaiswal, Danyal Jajbhay, Thomas Jaki, Bintou Jallow, Yusuf Jaly, Sabine Jamal, Zeba Jamal, Yasmin Jameel, Albie James, Christie James, Kate James, Lee James, Linda James, Mark James, Nicholas James, Olivia James, Rebecca James, Ruth James, Tracy James, Jack Jameson, Aaron Jamison, Phoebe Jane, Azara Janmohamed, Sabrina Jansz, Deepa Japp, Lorraine Jappy, Victor Jardim, Catherine Jardine, Emma Jarnell, Ellie Jarvie, Ann Jarvis, Claire Jarvis, Lisa Jarvis, Rosina Jarvis, Patrycja Jastrzebska, Hafsa Javed, Mays Jawad, Lona Jawaheer, Kauky Jawaid, Anu Jayachandran, Dinakaran Jayachandran, Angelina Jayakumar, Deepak Jayaram, Ravi Jayaram, Geeshath Jayasekera, Thilina Jayatilleke, Abi Jayebalan, Saman Jeddi, Vandana Jeebun, Mohammad S Jeelani, Zeynab Jeewa, Emma Jefferson, Katie Jeffery, Helen Jeffrey, Jenni Jeffrey, Rachel Jeffrey, Sue Jeffrey, Nathan Jeffreys, Benjamin Jeffs, Debbie Jegede, Taylor Jemima, Ifan Jenkin, Alison Jenkins, Christopher Jenkins, David Jenkins, Elinor Jenkins, Sarah Jenkins, Sian Jenkins, Stephen Jenkins, Jacqui Jennings, Louise Jennings, Rebecca Jennings, Virginia Jennings, Ellen Jerome, Douglas Jerry, Ellen Jessup-Dunton, Jorge Antonio Jesus Silva, Champa Jetha, Kishan Jethwa, Jeby Jeyachandran, Visuvanathan Jeyakumar, Dharshana Jeyapalan, Shaman Jhanji, Khoo Jian, Zhixin Jiao, Laura Jimenez, Ana Jimenez Gil, Jithin Jith, Teishel Joefield, Navraj Johal, Karine Johannessen, Aisyah Johari, Annie John, Anu John, Navin John, Sarah John, Emma Johns, Margaret Johns, Anne-Marie Johnson, Antoinette Johnson, David Johnson, Emma Johnson, Gillian Johnson, Kathryn Johnson, Katie Johnson, Luke Johnson, Mark Johnson, Nelsonseelan Johnson, Oliver Johnson, Rachel Johnson, Tracy Johnson, Zoe Johnson, Claire Johnston, Janet Johnston, Laura Johnston, Susan Johnston, Victoria Johnston, Dawn Johnstone, Ed Johnstone, Janet Johnstone, Manohar Joishy, Adam Jones, Alistair Jones, Annabel Jones, Ben Jones, Bryony Jones, Carys Jones, Ceri Jones, Charlotte Jones, Christine E Jones, Debra Jones, Emily Jones, Gareth Jones, Geraldine Jones, Hazel Jones, Jac Jones, James Jones, Jamie Jones, Jessica Jones, Jonathon Jones, Julie Jones, Karen Jones, Kate E Jones, Kevin Jones, Laura Jones, Laura M Jones, Lorna Jones, Louise Jones, Mathew Jones, Nicola Jones, Paul Jones, Rhianna Jones, Ruth E Jones, Samantha Jones, Sophie Jones, Stefanie Jones, Steve Jones, Taya Jones, Tim Jones, Tracey Jones, Ramya Jonnalagadda, Rebecca Jordache, Annette Jose, Sanal Jose, Anna Joseph, Joseph Joseph, Rosane Joseph, Sibet Joseph, Dhaara Joshi, Mehul Joshi, Pratichi Joshi, Revati Joshi, Benz Josiah, Tiffany Joyce, Adriel Ju Wen Kwek, Edward Jude, Parminder Judge, Jessica Juhl, Sirisha Jujjavarapu, Mark Juniper, Edmund Juszczak, Deepthi Jyothish, Kasamu Kabiru Dawa, Mark Kacar, Katarina Kacinova, Nikhil Kadam, Rebecca Kahari, Gail Kakoullis, Azad Kala Bhushan, Richard JK Kalayi, Roobala Kaliannan Periyasami, Efthymia Kallistrou, Seika Kalsoom, Elisa Kam, John Kamara, Mohamed Kamara, Ajay Kamath, Prakash Kamath, Ravindra Kamath, Siddharth Arun Kamerkar, Nick Kametas, Musaiwale Kamfose, Arul Kandaswamy, Leia Kane, Osei Kankam, Thogulava Kannan, Abhinav Kant, Vikas Kapil, Ritoo Kapoor, Sonal Kapoor, Sourjya Kar, Janaka Kara, 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Michelle Lake, Nicki Lakeman, David Lalloo, Fiona Lalloo, Alison Lam, Fiona Lamb, Lucy Lamb, Thomas Lamb, Nick Lambe, Pauline Lambert, Claudia Lameirinhas, Mohammed KG Lami, Abigail Lamikanra, Holly Lamont, Michal Lamparski, Djillali Lamrani, Christine Lanaghan, Rebecca Lanaway, Ivone Lancona-Malcolm, Julia Lancut, Geraldine Landers, Martin J Landray, Matthew Lane, Nicholas Lane, Alidih Lang, Stephen Lang, Daniel Langer, Margaret Langley, Charles Langoya, Emily Langthorne, Taiya Large, Wojciech Lason, Anna Last, Scott Latham, John Latham-Mollart, Afzal Latheef, Darren Latimer, Nang Latt, Carly-Jane Lattimore, Dawn Lau, Eva Lau, Myra Laurenson, Hou Law, Jennifer Law, Jessica Law, Penny Law, Richard Law, Colin Lawler, Mark Lawley, Emma Lawrence, Jo Lawrence, Neil Lawrence, Ryan Lawrie, Jemima Lawson, Joanne Lawson, Louise Lawson, Rebecca Lawton, Michael Lay, Christine Laycock, Reina Layug, Maria Lazo, Vietland Le, Amelia Lea, William Lea, Ian Leadbitter, Thomas Leahy, Richard Lean, Lorna 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Nagarajan, Imrun Nagra, Deepak Nagra, Mina Naguib, Kirushthiga Naguleswaran, K Shonit Nagumantry, Kevin Naicker, Sarveshni Naidoo, Gireesha Naik, Rishi Naik, Samir Naik, Devu S Nair, Rajiv Nair, Tanushree Nair, Jay Naisbitt, Kerry Naismith, Sri Nallapareddy, Soum Nallapeta, Arumugan Nallasivan, Uttam Nanda, Aarti Nandani, Ali Raza Naqvi, Asadullah Naqvi, Sara Naqvi, Shruthi Narayan, Sophia Nasa, Dominic Nash, Nader Nasheed, Abdul Nasimudeen, Umer Nasir, Marwan Nassari, Tahir Nasser, Anushka Natajaran, Anuja Natarajan, Geetha Natarajan, Nalin Natarajan, Nikhila Natarajan, Rajkumar Natarajan, Noel Nathaniel, Mala Nathvani, Priyan Nathwani, George Nava, Neena Navaneetham, Jeya Navaratnam, Helen Navarra, Sadaf Naveed, John Navin, Khuteja Nawaz, Sarfaraz Nawaz, Shasta Nawaz, Bonilla Nayar, Suzanne Naylor, Moez Nayyar, Farrah Naz, Mobeena Naz, Salima Nazarali, Babak Nazari, S Nazir, Sehar Nazir, Dumisani Ncomanzi, Onyine Ndefo, Alan Neal, Elaine Neary, Mostafa Negmeldin, Paula Neill, Hector 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Raj, Pradeep Rajagopalan, Nithy Rajaiah, Arvind Rajasekaran, Aylur Rajasri, Thurkka Rajeswaran, Jyothi Rajeswary, Jeyanthy Rajkanna, Gayathri Rajmohan, Ruth Rallan, David Ralphs, Katherine Ralston, Maximilian Ralston, Matsa Ram, Balaji Ramabhadran, Fathima Ramali, Mohamed Ramali, Athimalaipet Ramanan, Shashikira Ramanna, Maheshi Ramasamy, Dhanishta Ramdin, Jozel Ramirez, Mylah Ramirez, Geshwin Ramnarain, Lidia Ramos, Shanthi Ramraj, Alex Ramshaw, Aleem Rana, Ghulam F Rana, Rehman Rana, Abby Rand, James Rand, Helen Randall, Harpal Randheva, Poonam Ranga, Manmeet Rangar, Harini Rangarajan, Sameer Ranjan, Poormina Ranka, Rajesh Rankhelawon, Haley Ranton, Anita Rao, Sandhya Rao, Sanjay Rao, Deepak Rao, Anuja Rasarathnam, Alia Rashid, Khalid Rashid, Simbisai Ratcliff, Sam Ratcliffe, Sophy Ratcliffe, Sanjeev Rath, Mohmad I Rather, Selina Rathore, Aravinden Ratnakumar, Jonathan Ratoff, Deepa Rattehalli, Jason Raw, Hywel Rawlins, Gautam Ray, Michelle Ray, Adam Raymond-White, Dana Raynard, 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Anand Shah, Bhavni Shah, Momin Shah, Neil Shah, Pallav Shah, Priyank Shah, Qasim Shah, Sarfaraz H Shah, Snehal Shah, Suraj Shah, Syed Shah, Wajid Shah, Saarma Shahad, Sousan Shahi, Sipan Shahnazari, Muhammad Shahzeb, Aisha Shaibu, Zara Shaida, Amina Y Shaikh, Maliha Shaikh, Rajit Shail, Mariya Shaji, Muhammad Shakeel, Korah Shalan, Nadia Shamim, Kazi Shams, Alison Shanahan, Thomas Shanahan, Shaminie Shanmugaranjan, Hamed Sharaf, Muhammad Sharafat, Asir Sharif, Ajay Sharma, Akhilesh Sharma, Ash Sharma, Bhawna Sharma, Mona Sharma, Ojasvi Sharma, Poonam Sharma, Rajeev Sharma, Sanjeev Sharma, Sarkhara Sharma, Shriv Sharma, Sonal Sharma, Alexander Sharp, Charles Sharp, Gemma Sharp, Paula Sharratt, Phoebe Sharratt, Katherine Sharrocks, Emma Sharrod, Christopher Shaw, Daisy Shaw, David Shaw, Deborah Shaw, Joanne Shaw, Jonathan Shaw, Lisa Shaw, Tomos G Shaw, Anna Shawcross, Jill Shawe, Lou Shayler, Khuram Shazad, Sophy Shedwell, Jonathan Sheffield, Zak Shehata, Arshiya Sheik, Asif Sheikh, Noorann Sheikh, Laura Sheldon, Benjamin Shelley, Sarah Shelton, Anil Shenoy, Julie Shenton, Amy Shepherd, Kate Shepherd, Lorna Shepherd, Scott Shepherd, Rhian Sheppeard, Helen Sheridan, Ray Sheridan, Samuel Sherridan, Leanne Sherris, Susanna Sherwin, Shaad Shibly, Roger Shiers, Chiaki Shioi, Anand Shirgaonkar, Kim Shirley, Adebusola Shonubi, Angela Short, Richard Shortland, Rob Shortman, Rohan Shotton, Sarah Shotton, Ervin Shpuza, Nora Shrestha, Karen Shuker, Jack Shurmer, Gilbert Siame, Loria Siamia, Zanele Sibanda, Claire Sidaway, Seshnag Siddavaram, Nasir Siddique, Sohail Siddique, Nyma Sikondari, Claudia Silva Moniz, Mike Silverstone, Malcolm Sim, Theresa Simangan, Vimbai Simbi, Robert Sime, Oliver Simmons, Richard Simms, Merritt Simon, Natalie Simon, Angela Simpson, Anna Simpson, Danny Simpson, Georgina Simpson, Joanne Simpson, John Simpson, Kerry Simpson, Phillip Simpson, Thomas Simpson, Andrew Simpson, Kathryn Simpson, Cindy Sing, Ankita Singh, Claire Singh, Jayaprakash Singh, Jyoti Singh, Lokeshwar Singh, Manjeet Singh, Nadira Singh, Pankaj Singh, Prabhsimran Singh, Salil Singh, Saurabh Singh, Parag Singhal, Bryan Singizi, Manas Sinha, Utkarsh Sinha, Guy Sisson, Sarah Sithiravel, Karthikadevi Sivakumar, Shanmugasundaram Sivakumar, Darsh Sivakumran, Sivanthi Sivanadarajah, Pasupathy-Rajah Sivasothy, Rebecca Sivers, Alison Sivyer, Nicole Skehan, Robert Skelly, Orlagh Skelton, Imogen Skene, Michael J Skill, Denise Skinner, Tabitha Skinner, Victoria Skinner, Agnieszka Skorko, Iwona Skorupinska, Mariola Skorupinska, Amy Slack, Katie Slack, Wendy Slack, Heather Slade, Helen Slade, Mark Slade, Helen Slater, Lynda Slater, Nicola Slawson, Andrew Sloan, Brendan Sloan, Derek Sloan, Geraldine Sloane, Benjamin Small, Ellen Small, Emma Small, Samuel Small, Karen D Smallshaw, Andy Smallwood, Carien Smit, Aileen Smith, Alex Smith, Amanda Smith, Amy Smith, Andrew Smith, Anna Smith, Camilla Smith, Catherine Smith, Chris Smith, Christopher Smith, Dominic Smith, Eleanor Smith, Harriet Smith, Hazel Smith, Helen Smith, Jacky Smith, Janice Smith, Jessica Smith, Juliet Smith, Karen Smith, Kate Smith, Kathryn Smith, Katie Smith, Kelly Smith, Kerry Smith, Lara Smith, Linda Smith, Lisa Smith, Loren Smith, Maria Smith, Mel Smith, Oliver Smith, Rachel Smith, Rebecca Smith, Richard Smith, Ruth Smith, Sally Smith, Samantha Smith, Stacey Smith, Stephanie Smith, Susan Smith, Imogen Smith, John Smith, Gemma Smithson, Sue Smolen, Sara Smuts, Naoise Smyth, Annette Snell, David Snell, Luke Snell, Beng So, Michelle Soan, Toluleyi Sobande, Alberto Sobrino Diaz, Basit Sohail, Bina Sohail, Herminder Sohal, Roy Soiza, Mary Sokolowski, Olajumoke Solademi, Krishma Solanki, Babak Soleimani, Amanda Solesbury, Reanne Solly, Louise Solomon, Subash Somalanka, Chandrashekaraiah Somashekar, Raj Sonia, Shiu-Ching Soo, Deepti Sood, Pavandeep Soor, Germanda Soothill, Jennifer Soren, Youssef Sorour, Apina Sothinathan, Pragalathan Sothirajah, Najwa Soussi, Donna Southam, David Southern, Iain Southern, Louise Southern, Sara M Southin, Jessica Southwell, Thomas Southworth, Jason Sowter, Claudia Spalding, Enti Spata, Katie Spears, Mark Spears, John Spence, Michelle Spence, Branwell Spencer, Gisele Spencer, Sue Spencer, Tom Spencer, Helen Spicer, Rose Spicer, Helen Spickett, Jennifer Spillane, William Spiller, Kerry Spinks, Michelle Spinks, Nick Spittle, Johanna Sporrer, Karen Spreckley, Janet Spriggs, Oliver Spring, Scott Springworth, Gemma Squires, Jack Squires, Rebecca Squires, Ram Sreenivasan, K Sri Paranthamen, Ramesh Srinivasan, Asha Srirajamadhuveeti, Vino Srirathan, Chloe Stacey, Sybil Stacpoole, Louise Stadon, Tony Staincliffe, Jocasta Staines, Nikki Staines, Katie Stammers, Roxana Stanciu, Grazyna Stanczuk, Helen Stannard, Edward Stanton, Robyn Staples, Simon Stapley, Natalie Staplin, Adam Stark, Michelle Starr, Julie Staves, Rached Stead, Anthea Steel, Charlotte Steel, Conor Steele, John Steer, Vergnano Stefania, Paula Stefanowska, Katie Steinert, Caroline Stemp, Alison Stephens, David Stephensen, Elaine Stephenson, Monique Sterrenburg, Georgia Stevens, Guy Stevens, Melanie Stevens, Will Stevens, Amy Stevenson, Andrew Stevenson, Elaine Stevenson, Lesley Stevenson, Sarah Stevenson, Amanda Stewart, Claire Stewart, Colin Stewart, McKenna Stewart, Rachel Stewart, Rebecca Stewart, Richard Stewart, Jo Stickley, Gemma Stiller, Robert Stirk, Sarah Stirrup, Sarah Stock, Alexander Stockdale, Lynne Stockham, Paul Stockton, Emma Stoddard, Chris Stokes, Ben Stone, Roisin Stone, Sarah Stone, Imogen Storey, Kim Storton, Frederick Stourton, Angela Strachan, Catherine Strait, Ellen Strakosch, Emma Stratton, Jane Stratton, Sam Straw, Luke Streeter, Dieter Streit, Emma Stride, Sally Stringer, Sophia Strong-Sheldrake, Siske Struik, Carmel Stuart, Anna Stubbs, Harrison Stubbs, Ann Sturdy, Sharon Sturney, Matt Stuttard, Cristina Suarez, Karuna Subba, Christian P Subbe, Manjula Subramanian, Venkatram Subramanian, Chinari Subudhi, Rebecca Suckling, Srivatsan Sudershan, Lee Sudlow, Gayle Sugden, Peter Sugden, Rudresh Sukla, Ali Suliman, Fatimah Suliman, Ian Sullivan, Sugrah Sultan, Jennifer Summers, Mark Summerton, Samyukta Sundar, Reka Sundhar, Edmond Sung, Nadia Sunni, Jay Suntharalingam, Amitava Sur, Dharmic Suresh, Shilpa Suresh, Rachel Suri, Michael Surtees, Danielle Suter, Helen Sutherland, Rachel Sutherland, Rebecca Sutherland, Dovile Sutinyte, Deborah Sutton, John Sutton, Sam Sutton, Mihaela Sutu, Marie-Louise Svensson, Sima Svirpliene, Andrew Swain, Thomas Swaine, Christopher Swales, Lorna Swan, Nicola Swarbrick, Tirion Swart, Stephen Sweetman, Samaher Sweity, Ealish Swift, Paul Swift, Pauline Swift, Peter Swift, Rachael Swift, Rachel Swingler, Sophie Swinhoe, Katarzyna Swist-Szulik, Luke Swithenbank, Omair Syed, Catriona Sykes, Daisy Sykes, Eliot Sykes, Luke Sylvester, Dominic Symon, Andrew Syndercombe, Zoe Syrimi, Jen Syson, Gemma Szabo, Tamas Szakmany, Megan Szekely, Matthew Szeto, Maria Tadros, Amr Tageldin, Lucy Tague, Hasan 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Thompson, Liz Thompson, Luke Thompson, Michael Thompson, Orla Thompson, Rebecca Thompson, Roger Thompson, Trevor Thompson, Usilla Thompson, Nicola Thomson, Natasha Thorn, Charlotte Thorne, Nicola Thorne, Wendy Thorne, Jim Thornton, Michael Thornton, Richard Thornton, Sara Thornton, Susan Thornton, Thomas Thornton, Tracey Thornton, Allison Thorpe, Christopher Thorpe, Sarah Thorpe, Paradeep Thozthumparambil, Laura Thrasyvoulou, Hannah Thraves, Elisha Thuesday, Vicky Thwaiotes, Guy Thwaites, Simon Tiberi, Jane Tidman, Serena Tieger, Carey Tierney, Caroline Tierney, Mark Tighe, Sorrell Tilbey, Amanda Tiller, John Timerick, Elizabeth Timlick, Alison Timmis, Hayley Timms, Anne-Marie Timoroksa, Samakomva Tinashe, Heather Tinkler, Marianne Tinkler, Jacqui Tipper, Helen Tivenan, Helen T-Michael, Anne Todd, Jackie Todd, Stacy Todd, Mohamed Tohfa, Helena Tollick, Melanie Tolson, Ana Luisa Tomas, Natalia Tomasova, Sharon Tomlin, Simon Tomlins, Jo Tomlinson, James Tonkin, Ivan Tonna, Catherine Toohey, Kirsty Topham, Mathew Topping, Ruhaif Tousis, Peter Tovey, Gareth Towersey, Jason Towler, Jill Townley, Alain Townsend, Chris Townsend, Richard Tozer, Claire Tranter, Helen Tranter, Jonathan Trattles, Christopher Travill, Sarah Traynor, Karis Treuberg, Mike Trevett, Ascanio Tridente, Sanchia Triggs, Fiona Trim, Thomas Trimble, Alex Trimmings, Tom Trinick, Sven Troedson, Emily Tropman, Amy Trotter, Madeleine Trowsdale Stannard, Nigel Trudgill, Maria Truslove, Shaun Trussell, Tariq Trussell, Sara Tryon, Kyriaki Tsakiridou, Christine Tsang, Hoi Pat Tsang, Peter Tsang, Tan Tsawayo, Kyriaki Karali Tsilimpari, Georgios Tsinaslanidis, Simon Tso, Sally Tucker, Victoria Tuckley, Caroline Tuckwell, Aisha Tufail, Redmond Tully, Grace Tunesi, Saidat Turawa, Killiam Turbitt, Anna Turco, Krystyna Turek, Rezon Turel, Tolga Turgut, Claudia Turley, Alison Turnbull, Aine Turner, Ash Turner, Charlotte Turner, David Turner, Frances Turner, Gail Turner, Kate Turner, Kelly Turner, Louise Turner, Lucy Turner, Marc Turner, Mark Turner, Patricia Turner, Ruth Turner, Sally Turner, Samantha Turner, Susan Turner, Victoria Turner, Sharon Turney, Jon Turvey, Conor Tweed, David Tweed, Rebecca Twemlow, Emma Twohey, Bhavya Tyagi, Vedang Tyagi, Abigail Tyer, Jayne Tyler, Jennifer Tyler, Alison Tyzack, Petros Tzavaras, Mohammad S Uddin, Ruhama Uddin, Ruzena Uddin, Salamat Ullah, Sana Ullah, Sanda Ullah, Athavan Umaipalan, Judith Umeadi, Akudo Umeh, Wilfred Umeojiako, Ben Ummat, Charlotte Underwood, Jonathan Underwood, Laura Unitt, Adam Unsworth, Jasvinder Uppal, Veerpal S Uppal, James Uprichard, Gerry Upson, Masood Ur Rasool, Alison Uriel, Sebastian Urruela, Hiromi Uru, Miranda Usher, Rebecca Usher, Alex UsherRea, Andrew Ustianowski, Jane Uttley, Linda C Vaccari, Uddhav Vaghela, Abhay Vaidya, Bernardas Valecka, Jennifer Valentine, Balan Valeria, Pramodh Vallabhaneni, Pedro Valle Vallines, Luke Vamplew, Ekaterini Vamvakiti, Joannis Vamvakopoulos, Maud van de Venne, Alex van der Meer, Nora van der Stelt, Joseph Vance-Daniel, Rama Vancheeswaran, Caryn Vander Riet, Samuel I Vandeyoon, Padma Vankayalapati, Piyush Vanmali, Chloe Vansomeren, William Van't Hoff, Sejal Vara, Kate Vardigans, Stehen J Vardy, Anu Varghese, Maria Varghese, William Varney, Giulia Varnier, Valeria Vasadi, Olivia Vass, Vimal Vasu, Vasanthi Vasudevan, Manu Vatish, Heloyes Vayalaman, Christopher Vaz, Niki Veale, Sachuda Veerasamy, Bar Velan, Swati Velankar, Luxmi Velauthar, Neyme Veli, Nicola Vella, Anitha Velusamy, Ian Venables, Mavi Venditti, David Veniard, Ramya Venkataramakrishnan, Richard Venn, Robert Venn, Lyn Ventilacion, Joanne Vere, Mark Veres, Stefania Vergnano, Will Verling, Amit Verma, Rachel Vernall, Britney Vernon, Mark Vertue, Jerik Verula, Natalie Vethanayagam, Lucy Veys, Carinna Vickers, Saji Victor, Jennifer Vidler, Wayne Vietri, Bavithra Vijayakumar, Vinod Warrier Vijayaraghavan Nalini, Brigita Vilcinskaite, Neringa Vilimiene, Sudharkar Vimalanathan, Lynn Vinall, Sylvia Vinay, Latha Vinayakarao, Rachel Vincent, Rosie Vincent, Pritpal Virdee, Emma Virgilio, Abdullah M Virk, Elisa Visentin, Jeyakumar Visuvanathan, Karunakaran Vithian, Sorice Vittoria, Elena Vlad, Ben Vlies, Alain Vuylsteke, Eleftheria Vyras, Richard Wach, Beverley Wadams, Susan Wadd, Natalia Waddington, Kirsten Wadsworth, Syed EI Wafa, Daniel Wagstaff, Lynda Wagstaff, Dalia Wahab, Zaroug Wahbi, Abiodun Waheed Adigun, Sawan Waidyanatha, Rachel Wake, Alice Wakefield, William Wakeford, Michelle Wakelin, Fiona Wakinshaw, Andrew Walden, Jane Walden, Lorna Walding, Alexandria Waldron, Gemma Walker, Harriet Walker, Ian Walker, Jasmine Walker, Kevin Walker, Kim Walker, Linda Walker, Marie T Walker, Olivia Walker, Rachel Walker, Rebecca Walker, Susan Walker, Derek Wallbank, Rebecca Wallbutton, Jessica Wallen, Karl Wallendszus, Arabella Waller, Fiona Waller, Rosemary Waller, Gabiel Wallis, Gabriel Wallis, Louise Wallis, Donna Walsh, Elizabeth Walsh, Livia Walsh, Deborah Walstow, Daniel Walter, Alex Walters, Holt Walters, James Walters, Jocelyn Walters, Eileen Walton, Lucy Walton, Olivia Walton, Sharon Walton, Susan Walton, Mandy Wan, Thin Wan, Mary Wands, Rachel Wane, Frank Wang, Nick Wang, Ran Wang, Deborah Warbrick, Samantha Warburton, Deborah Ward, Emma Ward, Joanna Ward, Karen Ward, Luke Ward, Nicola Ward, Rachael Ward, Rebecca Ward, Thomas Ward, Tom Ward, Scott A Warden, Adele Wardle, Karen Wardle, Steve Wardle, Hassan Wardy, Scott Waring, Jenny Warmington, Ben Warner, Christian Warner, Lewis Warnock, Sarah Warran, Jade Warren, Lisa Warren, Yolanda Warren, Hannah Warren-Miell, Gill Warwick, Charlotte Washington, Helen Wassall, Hazel J Watchorn, Holly Waterfall, Abby Waters, Donald Waters, Mark Waterstone, Catherine Watkins, Catrin Watkins, Eleanor Watkins, Karen Watkins, Lynn Watkins, Nick Watkins, Abigail Watson, Adam JR Watson, Ekaterina Watson, Eleanor Watson, Paul Watson, Rebecca Watson, Robert Watson, Sandra Watson, Malcolm Watters, Donna Watterson, Daniel Watts, John Watts, Merlin Watts, Victoria Waugh, Emma Wayman, Akhlaq Wazir, Mark Weatherhead, Nick Weatherly, Paul Weaver, Hayley Webb, Kathryn Webb, Kylie Webb, Stephen Webb, Cheryl Websdale, Deborah Webster, Ian Webster, Tim Webster, Kathleen Wedgeworth, Ling Wee, Rebecca Weerakoon, Thanuja Weerasinghe, Janaka Weeratunga, Maria Weetman, Shuying Wei, Immo Weichert, Hugh Welch, James Welch, Leanne Welch, Steven Welch, Samantha Weller, Lucy Wellings, Brian Wells, Susan Wellstead, Berni Welsh, Richard Welsh, Ingeborg Welters, Rachael Welton, Lauren Wentworth, Kate Wesseldine, James Wesson, Jim Wesson, Adam West, Magdelena West, Raha West, Ruth West, Sophie West, Luke Western, Ruth Westhead, Heather Weston, Alice Westwood, Bill Wetherill, Sharon Wheaver, Helen Wheeler, Ben Whelan, Matthew Whelband, Amanda Whileman, Alison Whitcher, Abbie White, Andrew White, Benjamin White, Christopher White, Duncan White, Emily White, James White, Jonathan White, Katie White, Marie White, Nick White, Sarah White, Sonia White, Stephen White, Tracey White, Catherine Whitehead, Anne Whitehouse, Claire Whitehouse, Tony Whitehouse, Julia Whiteley, Sophie Whiteley, Victoria Whiteside, Drew Whitley, Kaitlyn Whitley, Gabriel Whitlingum, David Whitmore, Elizabeth Whittaker, Lindsay Whittam, Andrew Whittingham Hirst, Ashley Whittington, Helen Whittle, Robert Whittle, Suzanne Whyte, Eunice Wiafe, Lou Wiblin, John Widdrington, Jason Wieboldt, Hannah Wieringa, Cornelia Wiesender, Laura Wiffen, Andrew Wight, Christopher Wignall, Danielle Wilcock, Emma Wilcock, Louise Wilcox, Laura Wild, Stephen Wild, Michael Wilde, Peter Wilding, Ritchie Wildman, Tracey Wildsmith, Joe Wileman, Donna Wiles, Joy Wiles, Kate Wiles, Elva Wilhelmsen, Thomas Wiliams, Chloe Wilkes, Janet Wilkie, David Wilkin, Hannah Wilkins, Joy Wilkins, Suzanne Wilkins, Helen Wilkinson, Holly Wilkinson, Iain Wilkinson, Lesley Wilkinson, Martin Wilkinson, Nicola Wilkinson, Sophia Wilkinson, Susan Wilkinson, Tim Wilkinson, Sylvia Willetts, Aimee Williams, Alexandra Williams, Alison Williams, Angharad Williams, Ava Williams, Carl Williams, Caroline V Williams, Claire Williams, Dewi Williams, Gail Williams, Gemma Williams, Gina Williams, Hannah Williams, James Williams, Jayne Williams, Jennie Williams, John Williams, Joseph Williams, Karen Williams, Kathryn Williams, Marie Williams, Matthew Williams, Patricia Williams, Penny Williams, Rachael Williams, Rupert Williams, Samson Williams, Sarah Williams, Sophie Williams, Tamanna Williams, Annie Williamson, Cath Williamson, Catherine Williamson, Dawn Williamson, James D Williamson, Rachel Williamson, Helen Williamson, Bruce Willian, Elizabeth Willis, Emily Willis, Heather Willis, Herika Willis, Joanna Willis, Laura Willmott, Louise Wills, Lucy Willsher, Catherine Willshire, Francesca Willson, Alison Wilson, Andrea Wilson, Antoinette Wilson, Billy Wilson, Catherine Wilson, Eve Wilson, James Wilson, Karen Wilson, Kate Wilson, Lucinda Wilson, Mark Wilson, Matthew Wilson, Toni Wilson, Evie Wiltsher, Marlar Win, Tin Win, Wut Yee Win Win, Lucinda Winckworth, Laura Winder, Piers Winder, Phillip Windrum, Kerry Winham-Whyte, Helen Winmill, Simon Winn, Carmen Winpenny, Helen Winslow, Helen Winter, Jonathan Winter, Pascal Winter, Barbara Winter-Goodwin, Stephen Wisdom, Matthew Wise, Martin Wiselka, Rebecca Wiseman, Sophie Wiseman, Steven Wishart, Holly Wissett, Eric Witele, Nicholas Withers, Janet Wittes, Donna Wixted, Therese Wodehouse, Will Wolf, Nicola Wolff, Kirsten Wolffsohn, Rebecca Wolf-Roberts, Magda Wolna, Elena Wolodimeroff, Adam Wolstencroft, Alan Wong, Charlotte Wong, Chi-Hung Wong, Edwin Wong, Jessica Sue Yi Wong, Kit Y Wong, Lee Wong, Mei Yin Wong, Nick Wong, Sam Wong, Yun Man Wong, Amanda Wood, Caroline Wood, Carrie Anne Wood, Dianne Wood, Fiona Wood, Hannah Wood, Jennifer Wood, Joe Wood, Julia Wood, Kathryn Wood, Lisa Wood, Louise Wood, Michelle Wood, Stephen Wood, Tracy Wood, Ursula Wood, Katharine Woodall, Rebecca Woodfield, Christopher Woodford, Elizabeth Woodford, Jill Woodford, Luke Woodford, Louise Woodhead, Timothy Woodhead, Philip Woodland, Marc Woodman, Debra Woods, Jane Woods, Katherine Woods, Sarah Woods, Zoe Woodward, Rachel Wookey, Megan Woolcock, Gemma Wooldridge, Rebecca Woolf, Chris Woollard, Christopher Woollard, Louisa Woollen, Emma Woolley, Jade Woolley, Daniel Woosey, Dan Wootton, Joanne Wootton, Daniel Worley, Stephy Worton, Jonathan Wraight, Maria Wray, Tim Wreford-Bush, Joanne Wren, Kim Wren, Lynn Wren, Caroline Wrey Brown, Catherine Wright, Demi Wright, Francesca Wright, Imogen Wright, Lee Wright, Lianne Wright, Pete Wright, Rachel Wright, Rebecca Wright, Stephanie Wright, Tim Wright, Caroline Wroe, Hannah Wroe, Henry Wu, Peishan Wu, Pensee Wu, Jonathan Wubetu, Retno Wulandari, Craig Wyatt, Frederick Wyn-Griffiths, Inez Wynter, Bindhu Xavier, Arnold Xhikola, Zhongyang Xia, Huiyuan Xiao, Masseh Yakubi, May Yan, Freda Yang, Yingjia Yang, Michael Yanney, Woei Lin Yap, Nabil Yaqoob, Naairah Yaqub, Salima Yasmin, Bryan Yates, David Yates, Edward Yates, Helen Yates, Julie Yates, Mark Yates, Charlotte Yearwood Martin, Andrew Yeatman, Khin Yein, Fiona Yelnoorkar, Peter Yew, Kawai Yip, Laura Ylquimiche, Laura Ylquimiche Melly, Inez Ynter, H Yong, Jemma Yorke, Jasmine Youens, Abdel Younes Ibrahim, Eoin Young, Gail Young, Louise Young, Richard Young, Asfand Yousafzar, Sajeda Youssouf, Ahmed Yousuf, Chrissie Yu, Bernard Yung, Daniel Yusef, Said Yusef, Intekhab Yusuf, Anna-Sophia Zafar, Silvia Zagalo, Su Zaher, Aqsa Zahoor, Kareem Zaki, Nabhan Zakir, Kasia Zalewska, Ane Zamalloa, Mohsin Zaman, Raisa Zaman, Shakir Zaman, Julie Zamikula, Louise Zammit, Marie Zammit-Mangion, Lynn Zarb, Esther Zebracki, Daniel Zehnder, Lisa Zeidan, Marian Zelman, Xiaobei Zhao, Dongling Zheng, Doreen Zhu, Madiha Zia, Omar Zibdeh, Rabia Zill-E-Huma, Ei Thankt Zin, Veronica Zindonda, Eleanor Zinkin, Vivian Zinyemba, Christos Zipitis, Arkadiusz Zmierczak, Azam Zubir, Roslin Zuha, Naz Zuhra, Rasha Zulaikha, Sabrina Zulfikar, Carol Zullo, Ana Zuriaga-Alvaro, Will Zuurbier, Sheba Zyengi, and University of St Andrews. School of Medicine
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Male ,Convalescent plasma ,medicine.medical_treatment ,030204 cardiovascular system & hematology ,Antibodies, Viral ,Rate ratio ,0302 clinical medicine ,RA0421 ,RA0421 Public health. Hygiene. Preventive Medicine ,Medicine ,Hospital Mortality ,030212 general & internal medicine ,11 Medical and Health Sciences ,Aged, 80 and over ,Medicine(all) ,Mortality rate ,Covid19 ,Articles ,3rd-DAS ,General Medicine ,Middle Aged ,Hospitals ,Treatment Outcome ,Female ,Open label ,Coronavirus Infections ,Life Sciences & Biomedicine ,RM ,medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,03 medical and health sciences ,Medicine, General & Internal ,SDG 3 - Good Health and Well-being ,General & Internal Medicine ,Internal medicine ,Humans ,In patient ,Pandemics ,COVID-19 Serotherapy ,Aged ,Mechanical ventilation ,Science & Technology ,SARS-CoV-2 ,business.industry ,Significant difference ,Immunization, Passive ,COVID-19 ,Length of Stay ,NIS ,R1 ,Respiration, Artificial ,United Kingdom ,RM Therapeutics. Pharmacology ,RECOVERY Collaborative Group ,business - Abstract
Background: Many patients with COVID-19 have been treated with plasma containing anti-SARS-CoV-2 antibodies. We aimed to evaluate the safety and efficacy of convalescent plasma therapy in patients admitted to hospital with COVID-19. Methods: This randomised, controlled, open-label, platform trial (Randomised Evaluation of COVID-19 Therapy [RECOVERY]) is assessing several possible treatments in patients hospitalised with COVID-19 in the UK. The trial is underway at 177 NHS hospitals from across the UK. Eligible and consenting patients were randomly assigned (1:1) to receive either usual care alone (usual care group) or usual care plus high-titre convalescent plasma (convalescent plasma group). The primary outcome was 28-day mortality, analysed on an intention-to-treat basis. The trial is registered with ISRCTN, 50189673, and ClinicalTrials.gov, NCT04381936. Findings: Between May 28, 2020, and Jan 15, 2021, 11558 (71%) of 16287 patients enrolled in RECOVERY were eligible to receive convalescent plasma and were assigned to either the convalescent plasma group or the usual care group. There was no significant difference in 28-day mortality between the two groups: 1399 (24%) of 5795 patients in the convalescent plasma group and 1408 (24%) of 5763 patients in the usual care group died within 28 days (rate ratio 1·00, 95% CI 0·93–1·07; p=0·95). The 28-day mortality rate ratio was similar in all prespecified subgroups of patients, including in those patients without detectable SARS-CoV-2 antibodies at randomisation. Allocation to convalescent plasma had no significant effect on the proportion of patients discharged from hospital within 28 days (3832 [66%] patients in the convalescent plasma group vs 3822 [66%] patients in the usual care group; rate ratio 0·99, 95% CI 0·94–1·03; p=0·57). Among those not on invasive mechanical ventilation at randomisation, there was no significant difference in the proportion of patients meeting the composite endpoint of progression to invasive mechanical ventilation or death (1568 [29%] of 5493 patients in the convalescent plasma group vs 1568 [29%] of 5448 patients in the usual care group; rate ratio 0·99, 95% CI 0·93–1·05; p=0·79). Interpretation: In patients hospitalised with COVID-19, high-titre convalescent plasma did not improve survival or other prespecified clinical outcomes. Funding: UK Research and Innovation (Medical Research Council) and National Institute of Health Research.
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- 2021
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4. Familial hypercholesterolemia in Mexico: Initial insights from the national registry
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Aldo Ferreira-Hermosillo, Alejandra Vázquez-Cárdenas, Humberto Alvarez-Lopez, Ursulo Juarez-Herrera, Ashanty Flores-Ortega, Guadalupe Jiménez-Domínguez, Juan C Garnica-Cuellar, Jesus R Holguin-Almada, Eloy A Zepeda-Carrillo, Alexandro J. Martagón, Berenice Peña-Aparicio, Alma B Medrano-Rodriguez, Luis E. Simental-Mendía, Berenice Garcia-Guzman, Laura E Garcia de Leon, Roberto Contreras-Chacon, Luis E Vera-Arroyo, Ricardo Allende-Carrera, Jose A Alvarez, Cristina Martinez-Sibaja, Anell Hernandez-Garcia, Laura G Gomez-Herrera, Victoria Mendoza-Zubieta, Fabiola Lugo-Sobrevilla, Ma. Ludivina Robles-Osorio, Gustavo Gonzalez-Retana, Eduardo Marquez-Rodriguez, Jose J Ceballos-Macías, Francisco G Padilla, Jose C Amezcua-Martinez, Daniel I Perez-Vazquez, Arsenio Vargas-Vázquez, Elizabeth Ramirez-Cooremans, Manuel O De Los Rios-Ibarra, Jose J Garduño-Garcia, Bethsabel Rodríguez-Encinas, Karina J Acevedo-Rivera, Manuel de Los Reyes Barrera-Bustillo, Luis A Valdez-Talavera, Humberto García-Aguilar, Ruy D Arjona-Villicaña, Daniel Elías-López, Hector Garcia-Alcala, Margarita Torres-Tamayo, Juan Rosas-Saucedo, Ramon Madriz-Prado, Perla A Carrillo-Gonzalez, Julieta D Morales-Portano, Carlos A. Aguilar-Salinas, Neftali Eduardo Antonio-Villa, Mario H Figueroa-Andrade, Roopa Mehta, Carla V Mendez-Valencia, Alinna Y Ruiz-Garcia, Eduardo A Reyes-Rodriguez, Jose R Gomez-Cruz, Jose C Morales-Oyervides, Gabriela A. Galan Ramirez, Rocio Martinez-Alvarado, Leobardo Sauque-Reyna, Gonzalo Carazo-Vargas, Jesus R Gonzalez-Gonzalez, Hector E Arriaga-Cazares, Alejandro Romero-Zazueta, and Nacu Caracas-Portilla
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Adult ,Pediatrics ,medicine.medical_specialty ,Endocrinology, Diabetes and Metabolism ,Type 2 diabetes ,Familial hypercholesterolemia ,030204 cardiovascular system & hematology ,Hyperlipoproteinemia Type II ,03 medical and health sciences ,0302 clinical medicine ,Ezetimibe ,Internal Medicine ,medicine ,Humans ,030212 general & internal medicine ,Tendon xanthomas ,Male gender ,Genetic testing ,Nutrition and Dietetics ,medicine.diagnostic_test ,business.industry ,Middle Aged ,medicine.disease ,European atherosclerosis society ,National registry ,Cardiology and Cardiovascular Medicine ,business ,medicine.drug - Abstract
Familial hypercholesterolemia (FH) remains underdiagnosed and undertreated.Report the results of the first years (2017-2019) of the Mexican FH registry.There are 60 investigators, representing 28 federal states, participating in the registry. The variables included are in accordance with the European Atherosclerosis Society (EAS) FH recommendations.To date, 709 patients have been registered, only 336 patients with complete data fields are presented. The mean age is 50 (36-62) years and the average time since diagnosis is 4 (IQR: 2-16) years. Genetic testing is recorded in 26.9%. Tendon xanthomas are present in 43.2%. The prevalence of type 2 diabetes is 11.3% and that of premature CAD is 9.8%. Index cases, male gender, hypertension and smoking were associated with premature CAD. The median lipoprotein (a) level is 30.5 (IQR 10.8-80.7) mg/dl. Statins and co-administration with ezetimibe were recorded in 88.1% and 35.7% respectively. A combined treatment target (50% reduction in LDL-C and an LDL-C100 mg/dl) was achieved by 13.7%. Associated factors were index case (OR 3.6, 95%CI 1.69-8.73, P = .002), combination therapy (OR 2.4, 95%CI 1.23-4.90, P = .011), type 2 diabetes (OR 2.8, 95%CI 1.03-7.59, P = .036) and age (OR 1.023, 95%CI 1.01-1.05, P = .033).The results confirm late diagnosis, a lower than expected prevalence and risk of ASCVD, a higher than expected prevalence of type 2 diabetes and undertreatment, with relatively few patients reaching goals. Recommendations include, the use of combination lipid lowering therapy, control of comorbid conditions and more frequent genetic testing in the future.
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- 2021
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5. Socioeconomic patient benefits of a pediatric neurosurgery telemedicine clinic
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Hector E. James, Alexander Simko, Kelsey Hayward, Sabrina H Han, and Philipp R. Aldana
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Telemedicine ,education.field_of_study ,medicine.medical_specialty ,business.industry ,Pediatric neurosurgery ,Population ,Travel cost ,General Medicine ,Medical services ,Travel time ,03 medical and health sciences ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Family medicine ,Medicine ,business ,education ,Socioeconomic status ,health care economics and organizations ,030217 neurology & neurosurgery ,Mile - Abstract
OBJECTIVEThe objective of this study was to examine the socioeconomic benefits to the patients and families attending a regional pediatric neurosurgery telemedicine clinic (PNTMC).METHODSA PNTMC was organized by the Division of Pediatric Neurosurgery of the University of Florida College of Medicine–Jacksonville based at Wolfson Children’s Hospital and by the Children’s Medical Services (CMS) to service the Southeast Georgia Health District. Monthly clinics are held with the CMS nursing personnel at the remote location. A retrospective review of the clinic population was performed, socioeconomic data were extracted, and cost savings were calculated.RESULTSClinic visits from August 2011 through January 2017 were reviewed. Fifty-five patients were seen in a total of 268 initial and follow-up PNTMC appointments. The average round-trip distance for a family from home to the University of Florida Pediatric Neurosurgery (Jacksonville) clinic location versus the PNTMC remote location was 190 versus 56 miles, respectively. The families saved an average of 2.5 hours of travel time and 134 miles of travel distance per visit. The average transportation cost savings for all visits per family and for all families was $180 and $9711, respectively. The average lost work cost savings for all visits per family and for all families was $43 and $2337, respectively. The combined transportation and work cost savings for all visits totaled $223 per family and $12,048 for all families. Average savings of $0.68/mile and $48.50/visit in utilizing the PNTMC were calculated.CONCLUSIONSManaging pediatric neurosurgery patients and their families via telemedicine is feasible and saves families substantial travel time, travel cost, and time away from work.
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- 2020
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6. Effects of Flow‐Induced Microfluidic Chip Wall Deformation on Imaging Flow Cytometry
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Nobutoshi Ota, Hector E. Muñoz, Cheng Lei, Baoshan Guo, Dino Di Carlo, Keisuke Goda, Yaxiaer Yalikun, Tao Tang, Hirofumi Kobayashi, Yoichiroh Hosokawa, Yo Tanaka, Yuqi Zhou, and Ming Li
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0301 basic medicine ,Histology ,Materials science ,Instrumentation ,Microfluidics ,Flow (psychology) ,Deformation (meteorology) ,Pathology and Forensic Medicine ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Lab-On-A-Chip Devices ,Microscopy ,Microchannel ,Polydimethylsiloxane ,business.industry ,Cell Biology ,Microfluidic Analytical Techniques ,Flow Cytometry ,030104 developmental biology ,chemistry ,Flow velocity ,030220 oncology & carcinogenesis ,Hydrodynamics ,Optoelectronics ,business - Abstract
Imaging flow cytometry is a powerful tool by virtue of its capability for high-throughput cell analysis. The advent of high-speed optical imaging methods on a microfluidic platform has significantly improved cell throughput and brought many degrees of freedom to instrumentation and applications over the last decade, but it also poses a predicament on microfluidic chips. Specifically, as the throughput increases, the flow speed also increases (currently reaching 10 m/s): consequently, the increased hydrodynamic pressure on the microfluidic chip deforms the wall of the microchannel and produces detrimental effects lead to defocused and blur image. Here, we present a comprehensive study of the effects of flow-induced microfluidic chip wall deformation on imaging flow cytometry. We fabricated three types of microfluidic chips with the same geometry and different degrees of stiffness made of polydimethylsiloxane (PDMS) and glass to investigate material influence on image quality. First, we found the maximum deformation of a PDMS microchannel was >60 μm at a pressure of 0.6 MPa, while no appreciable deformation was identified in a glass microchannel at the same pressure. Second, we found the deviation of lag time that indicating velocity difference of migrating microbeads due to the deformation of the microchannel was 29.3 ms in a PDMS microchannel and 14.9 ms in a glass microchannel. Third, the glass microchannel focused cells into a slightly narrower stream in the X-Y plane and a significantly narrower stream in the Z-axis direction (focusing percentages were increased 30%, 32%, and 5.7% in the glass channel at flow velocities of 0.5, 1.5, and 3 m/s, respectively), and the glass microchannel showed stabler equilibrium positions of focused cells regardless of flow velocity. Finally, we achieved the world's fastest imaging flow cytometry by combining a glass microfluidic device with an optofluidic time-stretch microscopy imaging technique at a flow velocity of 25 m/s. © 2019 International Society for Advancement of Cytometry.
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- 2019
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7. Hardware Design and Implementation of a Wireless Chaotic Text Encryption Scheme
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Hector E. Nistazakis, Lazaros Moysis, Apostolos Iatropoulos, Aggelos Giakoumis, Christos Volos, and Ioannis N. Stouboulos
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business.industry ,Computer science ,Chaotic ,Lyapunov exponent ,Encryption ,Nonlinear Sciences::Chaotic Dynamics ,Microcontroller ,symbols.namesake ,Transmission (telecommunications) ,symbols ,Wireless ,business ,Computer hardware ,Randomness ,Computer Science::Cryptography and Security ,Generator (mathematics) - Abstract
This work proposes a chaotic text encryption scheme implemented in a microcontroller device. Initially, a chaotic 1D map is proposed and studied through its bifurcation diagrams and Lyapunov exponent diagram. The map showcases a constant chaotic behavior, which makes it suitable for use in encrytption. Based on this map, a pseudo random bit generator is designed. This generator is then used as a source of deterministic randomness, in order to encrypt a text message, using XOR. The complete scheme is then implemented in two microcontroller devices that can each implement the encryption and decryption procedures. This allows the safe transmission of an information text between the two devices, and can be the basis for further experimentation.
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- 2021
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8. Block Error Performance of PAM or PPM SIMO FSO Links over Strong Turbulence Channels
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A.D. Tsigopoulos, E. V. Chatzikontis, A.N. Stassinakis, Nikolaos A. Androutsos, Evgenia Roditi, Hector E. Nistazakis, and George S. Tombras
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Block Error Rate ,Work (thermodynamics) ,Computer science ,business.industry ,Turbulence ,Modulation (music) ,Optical wireless ,Wireless ,business ,Adaptive optics ,Topology ,Block error - Abstract
The last decade optical wireless communication has attracted significant commercial and research interest mostly due to the many advantages for point-to-point connections. Nevertheless, the operation of these systems is strongly affected on weather conditions and especially by atmospheric turbulence. In order to counterbalance the negative effects of turbulence for a given propagation distance several techniques have been proposed in the literature. One of the most well-known and effective among them is the receivers’ diversity. Motivated by this, in this work, the influence of the modulation scheme in the total average block error rate of a single input multiple output (SIMO) free space optical (FSO) system over strong turbulent channels is estimated and new closed form analytical expressions are derived.
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- 2021
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9. On the Utilization of L-PAM Technique in Transdermal Optical Wireless Links with Stochastic Pointing Errors for ABER Performance Estimation
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K. Aidinis, Hector E. Nistazakis, Fadi Jaber, Mohamed Nasor, K. K. Mujeeb Rahman, and G.K. Varotsos
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Signal-to-noise ratio ,Pulse-amplitude modulation ,Computer science ,business.industry ,Bandwidth (signal processing) ,Optical wireless ,Bit error rate ,Electronic engineering ,Wireless ,Spectral efficiency ,business ,Performance metric - Abstract
Ongoing research into implantable medical devices (IMDs) and optical wireless communication (OWC) links has recently revealed the feasibility of establishing high speed transdermal optical wireless (TOW) communication links between an in-body device and an external one with a reasonable low power consumption. Still, numerous emerging biomedical applications including mainly cortical recording and neural prosthesis require an increasingly higher modulation bandwidth and need to harvest the full benefits of this optical wireless communication modality. Thus, in the present contribution the potential of the enhancement of TOW spectral efficiency is investigated by utilizing the bandwidth efficient L symbol pulse amplitude modulation (L-PAM) scheme. In more detail, by taking varying and realistic parameter values for a typical direct TOW link into account and by considering also transdermal pathloss and the stochastic nature of weak to strong pointing errors, the average bit error rate (ABER) performance metric is evaluated for various PAM configurations. In this context, novel ABER analytical expressions are derived. Corresponding results which are further validated by Monte Carlo simulations over a wide signal to noise ratio (SNR) regime demonstrate the feasibility of our suggestions.
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- 2021
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10. Influence of Pointing Errors at the Block Error Rate Performance of Strong Turbulent SIMO FSO Links
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Hector E. Nistazakis, Nikolaos A. Androutsos, Erich Leitgeb, Evgenia Roditi, and G.K. Varotsos
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Block Error Rate ,Transmission (telecommunications) ,business.industry ,Computer science ,Transmitter ,Modulation (music) ,Electronic engineering ,Optical communication ,Wireless ,Point (geometry) ,Fading ,business - Abstract
The last few years Free Space Optical (FSO) communication has attracted significant research and commercial interest because of the many advantages in comparison with other wireless methods used for point-to- point connections. The operation of these systems strongly depends on the atmospheric and others effects in the area between the transmitter and the receiver. Among them, atmospheric turbulence and misalignment are two of the most significant performance mitigation factors. There have been proposed several methods and techniques in the literature in order to set against the induced fading of these phenomena. It is widely accepted that one of the most effective one is the employment of receivers’ diversity. Motivated by this and by taking into account that the ultra-fast modern optical communication systems are using blocks of bits for the transmission and codes for the detection and/or correction of the erroneous bits, in this work, we investigate the combined impact of pointing errors and strong turbulence in the total average block error rate (ABLER) of FSO systems with receivers’ diversity. Novel analytical expressions are derived using accurate approximations while the corresponding numerical results for realistic Single-Input Multiple-Output (SIMO) FSO links are presented.
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- 2021
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11. Using Machine Learning Algorithms for Accurate Received Optical Power Prediction of an FSO Link over a Maritime Environment
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Konstantinos Peppas, Hector E. Nistazakis, Keith Cohn, Athanassios Zagouras, Antonios Lionis, and A.D. Tsigopoulos
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Mean squared error ,Computer science ,Machine learning ,computer.software_genre ,atmospheric turbulence ,Performance prediction ,Radiology, Nuclear Medicine and imaging ,Applied optics. Photonics ,Instrumentation ,Artificial neural network ,business.industry ,refractive index structure parameter ,Regression analysis ,Atomic and Molecular Physics, and Optics ,free space optical communication ,Random forest ,TA1501-1820 ,received signal strength indicator ,Dew point ,machine learning ,Artificial intelligence ,Gradient boosting ,business ,computer ,Algorithm ,Free-space optical communication - Abstract
The performance prediction of an optical communications link over maritime environments has been extensively researched over the last two decades. The various atmospheric phenomena and turbulence effects have been thoroughly explored, and long-term measurements have allowed for the construction of simple empirical models. The aim of this work is to demonstrate the prediction accuracy of various machine learning (ML) algorithms for a free-space optical communication (FSO) link performance, with respect to real time, non-linear atmospheric conditions. A large data set of received signal strength indicators (RSSI) for a laser communications link has been collected and analyzed against seven local atmospheric parameters (i.e., wind speed, pressure, temperature, humidity, dew point, solar flux and air-sea temperature difference). The k-nearest-neighbors (KNN), tree-based methods-decision trees, random forest and gradient boosting- and artificial neural networks (ANN) have been employed and compared among each other using the root mean square error (RMSE) and the coefficient of determination (R2) of each model as the primary performance indices. The regression analysis revealed an excellent fit for all ML models, indicative of their ability to offer a significant improvement in FSO performance modeling as compared to traditional regression models. The best-performing R2 model found to be the ANN approach (0.94867), while random forests achieved the most optimal RMSE result (7.37).
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- 2021
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12. Better batteries through electrochemistry
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Moura, Scott J. and Perez, Hector E.
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Batteries -- Models -- Properties -- Research ,Electric vehicles -- Energy use ,Electrochemistry -- Models -- Analysis ,Business ,Engineering and manufacturing industries - Abstract
Batteries are everywhere: in our smart phones, laptops, electric vehicles (EVs), and electric grids. Energy storage is a critical enabling technology for enhancing energy sustainability. Although battery materials science has [...]
- Published
- 2014
13. Author response for 'Social isolation of adolescent male rats increases anxiety and K + ‐induced dopamine release in the nucleus accumbens: Role of CRF‐R1'
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Javier Novoa, José L. Agosto-Rivera, Juan Zegers, Carlos J. Rivero, Annabell C. Segarra, Katia Gysling, Jorge L. González‐Pérez, Enrique U. Perez‐Cardona, Iván G. Santiago‐Marerro, Hector E Yarur, and Jaime A. Freire‐Arvelo
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medicine.medical_specialty ,Endocrinology ,business.industry ,Dopamine ,Internal medicine ,Male rats ,Medicine ,Anxiety ,Social isolation ,medicine.symptom ,Nucleus accumbens ,business ,medicine.drug - Published
- 2021
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14. The fourth circuit element was found: a brief history
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Hector E. Nistazakis, Viet-Thanh Pham, and Christos Volos
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Computer science ,business.industry ,Structural engineering ,Element (category theory) ,business - Published
- 2021
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15. Magnetic microparticle concentration and collection using a mechatronic magnetic ratcheting system
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Hector E. Muñoz, Dino Di Carlo, Alberto Ranier Escobar, Oladunni Adeyiga, and Coleman Murray
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Microfluidics ,Cell Separation ,Spectrum Analysis Techniques ,Materials ,Fluorescence-Activated Cell Sorting ,Multidisciplinary ,Physics ,Magnetism ,Oxides ,Microfluidic Analytical Techniques ,Condensed Matter Physics ,Chip ,Magnetic field ,Chemistry ,Aspect Ratio ,Spectrophotometry ,Physical Sciences ,Magnets ,Microtechnology ,Engineering and Technology ,Optoelectronics ,Medicine ,Cytophotometry ,Fluidics ,Research Article ,Superparamagnetism ,Permalloy ,Materials science ,Science ,Materials Science ,Geometry ,Research and Analysis Methods ,Iron Oxides ,Suspensions ,Humans ,Particle Size ,business.industry ,Magnetic Phenomena ,Chemical Compounds ,equipment and supplies ,Magnetic Fields ,Tissue Array Analysis ,Mixtures ,Magnet ,Particle ,Magnetic nanoparticles ,business ,human activities ,Mathematics - Abstract
Magnetic ratcheting cytometry is a promising approach to separate magnetically-labeled cells and magnetic particles based on the quantity of magnetic material. We have previously reported on the ability of this technique to separate magnetically-labeled cells. Here, with a new chip design, containing high aspect ratio permalloy micropillar arrays, we demonstrate the ability of this technique to rapidly concentrate and collect superparamagnetic iron oxide particles. The platform consists of a mechatronic wheel used to generate and control a cycling external magnetic field that impinges on a “ratcheting chip.” The ratcheting chip is created by electroplating a 2D array of high aspect ratio permalloy micropillars onto a glass slide, which is embedded in a thin polymer layer to create a planar surface above the micropillars. By varying magnetic field frequency and direction through wheel rotation rate and angle, we direct particle movement on chip. We explore the operating conditions for this system, identifying the effects of varying ratcheting frequency, along with time, on the dynamics and resulting concentration of these magnetic particles. We also demonstrate the ability of the system to rapidly direct the movement of superparamagnetic iron oxide particles of varying sizes. Using this technique, 2.8 μm, 500 nm, and 100 nm diameter superparamagnetic iron oxide particles, suspended within an aqueous fluid, were concentrated. We further define the ability of the system to concentrate 2.8 μm superparamagnetic iron oxide particles, present in a liquid suspension, into a small chip surface area footprint, achieving a 100-fold surface area concentration, and achieving a concentration factor greater than 200%. The achieved concentration factor of greater than 200% could be greatly increased by reducing the amount of liquid extracted at the chip outlet, which would increase the ability of achieving highly sensitive downstream analytical techniques. Magnetic ratcheting-based enrichment may be useful in isolating and concentrating subsets of magnetically-labeled cells for diagnostic automation.
- Published
- 2021
16. Ivermectin as Prophylaxis Against COVID-19 Retrospective Cases Evaluation
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Roberto R, Hir sch, Carv allo, and Hector E
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Pediatrics ,medicine.medical_specialty ,Ivermectin ,Coronavirus disease 2019 (COVID-19) ,business.industry ,medicine ,General Medicine ,business ,medicine.drug - Published
- 2020
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17. Rates of Cesarean Conversion and Associated Predictors and Outcomes in Planned Vaginal Twin Deliveries
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Yalda Afshar, Jenny Y. Mei, Roxanna A. Irani, Rashmi Rao, J.S. Kim, Christina S. Han, Alec Szlachta-McGinn, Cinthia Blat, and Hector E. Muñoz
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medicine.medical_specialty ,Forceps ,Twins ,03 medical and health sciences ,0302 clinical medicine ,Pregnancy ,Medicine ,Humans ,030212 general & internal medicine ,Retrospective Studies ,030219 obstetrics & reproductive medicine ,business.industry ,Obstetrics ,Cesarean Section ,Infant, Newborn ,Pregnancy Outcome ,Obstetrics and Gynecology ,Spontaneous labor ,Retrospective cohort study ,Delivery, Obstetric ,Confidence interval ,Mode of delivery ,Neonatal outcomes ,Relative risk ,Pediatrics, Perinatology and Child Health ,Pregnancy, Twin ,Female ,Outcome data ,business - Abstract
OBJECTIVE Twin vaginal deliveries (VDs) are often performed in the operating room (OR) given the risk of conversion to cesarean delivery (CD) for the aftercoming twin. We aim to investigate the rates of conversion to CD for planned twin VDs and identify predictors and outcomes of conversion. STUDY DESIGN A retrospective cohort study of all women who underwent a planned twin VD at two large academic medical centers over 4 years. Demographic and outcome data were chart abstracted. Various statistical tests were used to evaluate the influence of perinatal variables on mode of delivery and identify possible predictors of conversion. RESULTS Eight hundred and eighty-five twin deliveries were identified, of which 725 (81.9%) were possible candidates for VD. Of those, 237 (32.7%) underwent successful VD of twin A. Ninety-five (40.1%) had a nonvertex second twin at time of delivery. Conversion to CD occurred in 10 planned VDs (4.2%). Conversions were higher with spontaneous labor (relative risk [RR]: 2.1; 95% confidence interval [CI] 1.6-2.7; p = 0.003), and having an intertwin delivery interval greater than 60 minutes (RR: 5.1; 95% CI: 2.5-10.8; p
- Published
- 2020
18. 190-LB: Exploring the Relationships between HbA1c Levels and Diabetes Care through NHANES Data, 2007–2016
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Clipper Young and Hector E. Velasco
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medicine.medical_specialty ,National Health and Nutrition Examination Survey ,medicine.diagnostic_test ,business.industry ,Endocrinology, Diabetes and Metabolism ,Regression analysis ,Physical examination ,medicine.disease ,Hba1c level ,Subjective data ,Diabetes mellitus ,Family medicine ,Internal Medicine ,Health insurance ,Medicine ,Ordered logit ,business - Abstract
Objective: To examine the relationships between diabetes care measures and HbA1c levels through analyzing the National Health and Nutrition Examination Survey (NHANES) data between 2007 and 2016. Methods: This cross-sectional study involved subjective and objective data obtained from the CDC NHANES website. Data was then analyzed by STATA14 with ordered logistic regression models, controlling for age, race, gender, health insurance coverage. Subjective data included participants’ answers to the general and diabetes-related questionnaires, and the objective data was their HbA1c levels at the time of the interview/standardized clinical examination. Results: Three of the eight regression analysis models showed statistically significant associations between HbA1c levels and identified diabetes care questions. Conclusion: The levels of HbA1c in people with diabetes were associated with how long ago the participant checked-in with a diabetes specialist, whether having a doctor for diabetes care or not, and how often the participant saw a doctor within a year before the NHANES interview/examination. These findings suggest that connecting with healthcare professionals (Questions 1 - 3) showed significant relationships with HbA1c levels, but the same relationships were not observed between receiving or performing the actual diabetes care measures (Questions 4 - 8) and HbA1c levels. Disclosure C.F. Young: None. H.E. Velasco: None.
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- 2020
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19. Learning-by-Doing as an Educational Method of Conducting Experiments in Electronic Physics
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E. C. Kapotis, Hector E. Nistazakis, T. P. Nantsou, G. Frache, and George S. Tombras
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Scientific law ,Comprehension ,Educational research ,Engineering management ,business.industry ,Physics education ,ComputingMilieux_COMPUTERSANDEDUCATION ,Face (sociological concept) ,Electronics ,Electricity ,business ,Learning-by-doing (economics) - Abstract
University students face several difficulties in comprehending electricity, as the relevant literature shows. It is well known into the scientific community that understanding electricity and circuits is fundamental to both science and technology. Thus, the design of new educational tools and their implementation are at the forefront of educational research today. Various methods have been proposed and implemented in order to overcome these difficulties. A very significant method is the Learning-by-doing (LBD). It is a modern, interesting and easily applied approach to students. In this paper we present some simple experiments on electronics we created, based on LBD, and how they helped undergraduate students improve their performance in electronics labs as well as their comprehension of scientific laws and natural phenomena.
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- 2020
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20. Obesity increases airway smooth muscle responses to contractile agonists
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Hector E. Muñoz, Mark van Zee, Deepa Rastogi, Gaoyuan Cao, Dino Di Carlo, Robert Damoiseaux, Brian Deeney, Joseph A. Jude, Ivan Pushkarsky, Sarah Orfanos, and Reynold Jr Panettieri
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Adult ,Male ,0301 basic medicine ,Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,Cardiotonic Agents ,Myosin Light Chains ,Platelet-derived growth factor ,Physiology ,Respiratory System ,Blood sugar ,chemistry.chemical_element ,macromolecular substances ,Calcium ,Histamine Agonists ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Physiology (medical) ,Internal medicine ,Gene expression ,medicine ,Humans ,Obesity ,Cells, Cultured ,Asthma ,business.industry ,Skeletal muscle ,Muscle, Smooth ,Cell Biology ,Prognosis ,medicine.disease ,030104 developmental biology ,Endocrinology ,medicine.anatomical_structure ,030228 respiratory system ,chemistry ,Case-Control Studies ,Carbachol ,Female ,business ,Body mass index ,Histamine ,Muscle Contraction ,Research Article - Abstract
The asthma-obesity syndrome represents a major public health concern that disproportionately contributes to asthma severity and induces insensitivity to therapy. To date, no study has shown an intrinsic difference between human airway smooth muscle (HASM) cells derived from nonobese subjects and those derived from obese subjects. The objective of this study was to address whether there is a greater response to agonist-induced calcium mobilization, phosphorylation of myosin light chain (MLC), and greater shortening in HASM cells derived from obese subjects. HASM cells derived from nonobese and obese subjects were age and sex matched. Phosphorylation of MLC was measured after having been stimulated by carbachol. Carbachol- or histamine-induced mobilization of calcium and cell shortening were assessed in HASM cells derived from nonobese and obese donors. Agonist-induced MLC phosphorylation, mobilization of calcium, and cell shortening were greater in obese compared with non-obese-derived HASM cells. The MLC response was comparable in HASM cells derived from obese nonasthma and nonobese fatal asthma subjects. HASM cells derived from obese female subjects were more responsive to carbachol than HASM cells derived from obese male subjects. Insulin pretreatment had little effect on these responses. Our results show an increase in agonist-induced calcium mobilization associated with an increase in MLC phosphorylation and an increase in ASM cell shortening in favor of agonist-induced hyperresponsiveness in HASM cells derived from obese subjects. Our studies suggest that obesity induces a retained phenotype of hyperresponsiveness in cultured human airway smooth muscle cells.
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- 2018
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21. ISO 9000 and the U.S. construction industry
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Chini, Abdol R. and Valdez, Hector E.
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ISO 9000 (Standard) -- Management ,Construction industry -- Standards ,Quality control -- Research ,Quality control ,Company business management ,Business ,Engineering and manufacturing industries - Abstract
ISO 9000, the series of quality management standards issued by the International Organization for Standardization, is being used by organizations involved in construction all over the world. The construction industry in the United States has generally lagged behind other industries and other countries in the acceptance and implementation of ISO 9000 standards. Differing opinions surround the issue of ISO 9000 in the U.S. construction industry; it has received either the support or the criticism of experts, who weigh the effects of ISO 9000 as a matter of real improvements in quality against competitiveness and specific requirements at a domestic and international level. This paper attempts to determine the applicability and effectiveness of ISO 9000 in U.S. construction firms and the barriers that hinder its acceptance. The methodology used consists of a literature review and a survey distributed to a sample of firms that have or have not received ISO 9000 certification. After analyzing the gathered data, it was concluded that ISO 9000 is an appropriate and effective tool for construction firms in the United States, although several obstacles affect its implementation and acceptance among construction organizations. DOI: 10.1061/(ASCE)0742-597X(2003)19:2(69) CE Database subject headings: Construction industry; Quality control; Standards.
- Published
- 2003
22. Constructing Learning-by-Doing Pedagogical Model for Delivering 21st Century Engineering Education
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Hector E. Nistazakis, George S. Tombras, and Ghassan Frache
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Pragmatic ,Engineering ,Physics and Astronomy (miscellaneous) ,business.industry ,lcsh:T ,05 social sciences ,050301 education ,21st Century skills ,Learning-by-Doing (LBD) ,lcsh:Technology ,Learning-by-doing (economics) ,Engineering education ,Pedagogical ,Management of Technology and Innovation ,0502 economics and business ,Mathematics education ,ComputingMilieux_COMPUTERSANDEDUCATION ,Higher education ,lcsh:Q ,business ,lcsh:Science ,0503 education ,Engineering (miscellaneous) ,050203 business & management - Abstract
The United Arab Emirates (UAE) is dedicated to establishing the best teaching and learning environment for students and staff across all higher education institutions. To heed this call, the engineering division adopted the Learning-by-Doing (LBD) pedagogical philosophy for 21st Century education at the heart of its strategic directions. This study intends to explore how LBD is understood and practiced in UAE colleges and how 21st Century skills can be explicitly incorporated into its engineering curriculum by using constructive alignment as a pattern for instructional design. This work intends to investigate the general question: “What constructively aligned Learning-by-Doing pedagogical model, with the incorporation of 21st Century skills, needs to be developed to effectively teach and prepare engineering students at the Higher College of Technology, UAE for successful long-term employment in the global working economy?”. Using mixed method research design and input from its major stakeholders, student survey questionnaires, engineering instructors and dean structured interviews, overt class observation and syllabi examination have all been utilized for data triangulation. In conclusion, the study developed a collaborative LBD model tailor-fitted to the institution’s engineering program and to UAE’s culture.
- Published
- 2018
23. SIMO optical wireless links with nonzero boresight pointing errors over M modeled turbulence channels
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Hector E. Nistazakis, Goran T. Djordjevic, George S. Tombras, Milica I. Petkovic, and G.K. Varotsos
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Computer science ,business.industry ,Transmitter ,Monte Carlo method ,020206 networking & telecommunications ,02 engineering and technology ,Communications system ,01 natural sciences ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,010309 optics ,Radio propagation ,Optics ,Modulation ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,Bit error rate ,Optical wireless ,Fading ,Electrical and Electronic Engineering ,Physical and Theoretical Chemistry ,business ,Communication channel - Abstract
Over the last years terrestrial free-space optical (FSO) communication systems have demonstrated an increasing scientific and commercial interest in response to the growing demands for ultra high bandwidth, cost-effective and secure wireless data transmissions. However, due the signal propagation through the atmosphere, the performance of such links depends strongly on the atmospheric conditions such as weather phenomena and turbulence effect. Additionally, their operation is affected significantly by the pointing errors effect which is caused by the misalignment of the optical beam between the transmitter and the receiver. In order to address this significant performance degradation, several statistical models have been proposed, while particular attention has been also given to diversity methods. Here, the turbulence-induced fading of the received optical signal irradiance is studied through the M (alaga) distribution, which is an accurate model suitable for weak to strong turbulence conditions and unifies most of the well-known, previously emerged models. Thus, taking into account the atmospheric turbulence conditions along with the pointing errors effect with nonzero boresight and the modulation technique that is used, we derive mathematical expressions for the estimation of the average bit error rate performance for SIMO FSO links. Finally, proper numerical results are given to verify our derived expressions and Monte Carlo simulations are also provided to further validate the accuracy of the analysis proposed and the obtained mathematical expressions.
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- 2017
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24. Optimal Charging of Li-Ion Batteries With Coupled Electro-Thermal-Aging Dynamics
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Scott J. Moura, Xiaosong Hu, Hector E. Perez, and Satadru Dey
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Battery (electricity) ,Engineering ,Computer Networks and Communications ,business.industry ,020209 energy ,Aerospace Engineering ,Charge (physics) ,02 engineering and technology ,Optimal control ,Nonlinear system ,State of charge ,Hardware_GENERAL ,Automotive Engineering ,Thermal ,0202 electrical engineering, electronic engineering, information engineering ,Electronic engineering ,Electrical and Electronic Engineering ,business ,Throughput (business) ,Voltage - Abstract
Fast and safe charging protocols are crucial for enhancing the practicality of batteries, especially for mobile applications, such as smartphones and electric vehicles. This paper proposes an innovative approach to devising optimally health-conscious fast-safe charge protocols. A multiobjective optimal control problem is mathematically formulated via a coupled electro-thermal-aging battery model, where electrical and aging submodels depend upon the core temperature captured by a two-state thermal submodel. The Legendre–Gauss–Radau pseudospectral method with adaptive multi-mesh-interval collocation is employed to solve the resulting highly nonlinear six-state optimal control problem. Charge time and health degradation are, therefore, optimally traded off, subject to both electrical and thermal constraints. Minimum-time, minimum-aging, and balanced charge scenarios are examined in detail. Sensitivities to the upper voltage bound, ambient temperature, and cooling convection resistance are investigated as well. Experimental results are provided to compare the tradeoffs between a balanced and traditional charge protocol.
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- 2017
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25. Subcarrier PSK Performance in Terrestrial FSO Links Impaired by Gamma-Gamma Fading, Pointing Errors, and Phase Noise
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Hector E. Nistazakis and Wilfried Gappmair
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Engineering ,business.industry ,020206 networking & telecommunications ,Keying ,02 engineering and technology ,Spectral efficiency ,Atomic and Molecular Physics, and Optics ,Subcarrier ,020210 optoelectronics & photonics ,Signal-to-noise ratio ,Phase noise ,0202 electrical engineering, electronic engineering, information engineering ,Electronic engineering ,Fading ,business ,Quadrature amplitude modulation ,Phase-shift keying - Abstract
For terrestrial free-space optical (FSO) communication systems, subcarrier intensity modulation represents an attractive alternative to on-off keying or pulse-position modulation, which is mainly because of the larger spectral efficiency. However, some degradation of the error performance must be taken into account due to nonperfect synchronization of carrier frequency and phase. In a recently published paper, the average bit error probability has been analyzed for $M$ -ary phase-shift keying in the presence of phase noise for a terrestrial FSO link impaired by lognormal fading. In the this paper, we are extending this study to a gamma-gamma model, which is usually applied in case of moderate-to-strong scintillation effects. On top of that, pointing errors, caused by a misalignment between transmitter and receiver of the FSO link, are considered as well. Since a closed-form solution is not available under general conditions and because numerical methods are time-consuming, suffering in part also from serious convergence and stability problems, we provide approximate closed-form expressions, which are accurate enough over a wide signal-to-noise ratio range.
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- 2017
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26. Acquisition Rate of Scabies in Employees After Care of an Undiagnosed Crusted Scabies Patient
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Patrick Crowley, Brennan Ochoa, Karen Brust, and Hector E Ramirez
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Microbiology (medical) ,medicine.medical_specialty ,Infectious Diseases ,Epidemiology ,business.industry ,Scabies ,Medicine ,Crusted scabies ,business ,medicine.disease ,Dermatology ,Acquisition rate - Abstract
Background: Scabies is a contagious dermatosis caused by human mites, (Sarcoptes scabei, variant hominis). In crusted (Norwegian) scabies, the burden of mite infestation is higher and up to 2 million per person, facilitating easy skin-to-skin transmission and nosocomial transmission. We describe a case of undiagnosed crusted scabies and subsequent transmission to employees in our hospital. Methods: A 90-year-old female was admitted to our 636-bed, nonprofit, academic hospital for 22 days prior to diagnosis of crusted scabies by skin scraping. The patient was admitted to 2 different medical-surgical wards and the medical intensive care unit. We collected healthcare worker (HCW) demographics, including department of service, age, sex, pregnancy, and breastfeeding status in those who were at risk of exposure. We interviewed HCWs at 2 time points and collected information related to infestation, allergies to treatment, acceptance of empiric treatment, and whether employee was furloughed. Results: On initial screening, 20 of 124 at-risk HCWs had symptoms (Fig.). Most had a “new onset raised red rash or new pimple like rash (not on face), or linear rash” and 4 had “new onset uncontrollable itching.” All 124 HCWs were contacted 28 days later. One HCW that had not been compliant with prophylaxis became symptomatic and was diagnosed with scabies by dermatology. Of the remaining 20 HCWs, 3 were still having symptoms (2 had itching and 1 had a rash and a scrape performed by dermatology with confirmation of mites). All 3 were retreated with ivermectin. Overall, 21 of 124 exposed HCWs were ultimately symptomatic. Conclusions: During a 22-day admission of an undiagnosed and unisolated elderly patient with crusted scabies, the scabies mite was transmitted to 21 HCWs for an acquisition rate of 17%. Persistence of symptoms after treatment with permethrin occurred in 14%. The infectivity of this disease necessitates early recognition and infection control measures.Funding: NoneDisclosures: None
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- 2020
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27. 818. Healthcare Worker Feedback Regarding the Implementation of a New Disinfection Tracking System
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John D Coppin, Deborah G Passey, Patrick Crowley, Marjory Williams, JulieAnn Martel, Hector E Ramirez, Hosoon Choi, Mark Stibich, Sarah Simmons, Piyali Chatterjee, and Chetan Jinadatha
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Nephrogenic Fibrosing Dermopathy ,medicine.medical_specialty ,business.industry ,Healthcare worker ,Tracking system ,Workload ,medicine.disease ,Health personnel ,AcademicSubjects/MED00290 ,Infectious Diseases ,Workflow ,Oncology ,Acute care ,Poster Abstracts ,medicine ,Medical emergency ,business - Abstract
Background Tracking of disinfection of portable medical equipment (PME) and demonstration of compliance with PME disinfection policies can be difficult to demonstrate. A Disinfection Tracking System (DTS) was implemented in our hospital to assess the impact of such a system on the disinfection events of PME and its ability to capture disinfection events. The DTS system improved the total disinfection events as well as disinfection events on commonly used items such as Computer-on-wheels (COWs) and vitals machine (VM) (Figures 1 & 2). Here we present a summary of healthcare workers’ (HCWs) opinions about the implementation of the DTS system in their routine work flow. Image of DTS Mounted on a Computer-on-Wheel Image of a DTS Mounted on a Vitals Machine Methods The study was conducted on two medical-surgical acute care units in Temple, TX Veterans Affairs hospital. The DTS devices were equipped with sensors to detect moisture events corresponding to disinfection. A display on the device indicated the last time the PME was disinfected. Opinions were obtained after the 10-week study period through a survey and facilitated group discussions between frontline HCWs and managers who had encountered the DTS during their daily work routine. The survey measured level of agreement with 13 items on a Likert-type scale system ranging from one (least agreement) to ten (most agreement). Disinfection Tracking System with Screen Displaying Time Since Last Disinfection Results A total of 17 surveys were completed. The lowest mean agreement score was 5.1 for the statement - the DTS system display corresponds to a real disinfection of the equipment and the highest mean agreement scores included - the DTS system was easy to understand and follow and the DTS system can easily be adopted in my routine workflow. Lastly, - the DTS system helped improve the disinfection of my COW and the DTS system will improve patient outcomes corresponded to agreement score means of 8.1 and 7.9, respectively. In the group discussions, all the involved groups of healthcare workers expressed agreement in the ease of use of the system and minimal disruption in workflow. Conclusion Our survey and interview results indicate that most of the HCWs who interacted with the device had a positive interaction with the device. They stated the DTS system helped serve as an indicator about the last disinfection event. They also noted the system integrated well into their workflow without any disruption or additional workload. Disclosures Sarah Simmons, DrPH, Xenex Disinfection Services (Employee, Shareholder) Mark Stibich, PhD MHS, Xenex Disinfection Services, Inc (Board Member, Employee) Chetan Jinadatha, MD, MPH, AHRQ (Research Grant or Support)Department of Veterans Affairs (Other Financial or Material Support, Owner: Department of Veterans Affairs. Licensed to: Xenex Disinfection System, San Antonio, TX)Inventor (Other Financial or Material Support, Methods for organizing the disinfection of one or more items contaminated with biological agents)NiH/NINR (Research Grant or Support)NSF (Research Grant or Support)Xenex Healthcare Services (Research Grant or Support)
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- 2020
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28. Letter to the Editor. Abdominal pseudocysts and ventriculoperitoneal shunts
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Hector E. James
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Ventriculoperitoneal shunts ,medicine.medical_specialty ,Letter to the editor ,business.industry ,MEDLINE ,Medicine ,General Medicine ,business ,Surgery - Published
- 2020
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29. 0573 Screening for Obstructive Sleep Apnea at Home Based on Deep Learning Features Derived from Respiration Sounds
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Ning Ma, Hector E. Romero, Elizabeth A. Hill, and Guy J. Brown
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medicine.medical_specialty ,medicine.diagnostic_test ,business.industry ,Respiratory pattern ,Polysomnography ,Audiology ,medicine.disease ,Home based ,Sleep in non-human animals ,Obstructive sleep apnea ,Patient referral ,Physiology (medical) ,Respiration ,medicine ,Neurology (clinical) ,Respiratory sounds ,business - Abstract
Introduction Analysis of sleep breathing sounds has been employed to screen obstructive sleep apnea (OSA). However, most current methods rely on specialized equipment (e.g., tracheal microphones), require additional physiological data (e.g., oxygen saturation), are rule-based, or are trained on data collected in-lab, making them less suitable for home use. In this study, deep learning methods were leveraged to explore the hypothesis that sleep audio recordings collected via smartphones can be used alone to screen for OSA by exploiting the temporal pattern of respiration sounds. Methods Adult participants with suspected sleep-disordered breathing of varying degrees of severity were recruited from the general population and from GP referrals to sleep clinic. Audio recordings were collected via smartphones during home sleep apnea testing (HSAT). HSAT data were scored by a registered polysomnographic technologist in accordance with current international guidelines (AASM V2.5, 2018) and used as reference. To exploit acoustic respiration temporal pattern, time interval histograms were computed for sequences of audio-words that were automatically learned from spectral features with a deep neural network. Means and standard deviations of the time intervals for each audio-word were employed by a Gaussian mixture model to classify 2-minute audio recording segments as either containing OSA events or not. Results Preliminary data from 4 valid nights’ recordings obtained from 2 consented participants was analysed. 550 segments were used for training, with 180 segments used for evaluation. Audio recording demonstrated a sensitivity of 0.71 and specificity of 0.66 when compared with manually-scored HSAT. Conclusion Preliminary results suggest that an approach to OSA screening based on deep learning with inter-audio-word intervals to capture information about respiration temporal pattern may be a useful tool in diagnosis of OSA. Further model development is underway using data collected from up to 200 patients and full study data will be presented. Support The project is supported by an Innovate UK grant (project number 157358). HR is supported by a joint scholarship from Passion for Life Healthcare Ltd and University of Sheffield. LH acknowledges the financial support of NHS Research Scotland (NRS), through NHS Lothian.
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- 2020
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30. KRAS, NRAS, and BRAF mutation prevalence, clinicopathological association, and their application in a predictive model in Mexican patients with metastatic colorectal cancer: A retrospective cohort study
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Hector E. Sanchez-Ibarra, Hugo A. Barrera-Saldaña, Yenho Chen, Faruck Morcos, Adriana Carolina Cavazos-González, Xian-Li Jiang, and Elena Yareli Gallegos-Gonzalez
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0301 basic medicine ,Neuroblastoma RAS viral oncogene homolog ,Oncology ,Male ,Mutation rate ,endocrine system diseases ,Colorectal cancer ,medicine.medical_treatment ,medicine.disease_cause ,Targeted therapy ,GTP Phosphohydrolases ,Cohort Studies ,0302 clinical medicine ,Mathematical and Statistical Techniques ,Mutation Rate ,Adenocarcinomas ,Medicine and Health Sciences ,Multidisciplinary ,Statistics ,Middle Aged ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Physical Sciences ,Medicine ,Female ,KRAS ,Anatomy ,Colorectal Neoplasms ,Cohort study ,Research Article ,Proto-Oncogene Proteins B-raf ,medicine.medical_specialty ,Computer and Information Sciences ,Histology ,Neural Networks ,Colon ,Science ,Rectum ,Research and Analysis Methods ,Carcinomas ,Proto-Oncogene Proteins p21(ras) ,03 medical and health sciences ,Internal medicine ,medicine ,Genetics ,Humans ,Statistical Methods ,neoplasms ,Mexico ,Retrospective Studies ,Colorectal Cancer ,Models, Statistical ,business.industry ,Membrane Proteins ,Biology and Life Sciences ,Cancers and Neoplasms ,Retrospective cohort study ,medicine.disease ,digestive system diseases ,Gastrointestinal Tract ,030104 developmental biology ,Mutation ,Neural Networks, Computer ,business ,Digestive System ,Mathematics ,Forecasting ,Neuroscience - Abstract
Mutations in KRAS, NRAS, and BRAF (RAS/BRAF) genes are the main predictive biomarkers for the response to anti-EGFR monoclonal antibodies (MAbs) targeted therapy in metastatic colorectal cancer (mCRC). This retrospective study aimed to report the mutational status prevalence of these genes, explore their possible associations with clinicopathological features, and build and validate a predictive model. To achieve these objectives, 500 mCRC Mexican patients were screened for clinically relevant mutations in RAS/BRAF genes. Fifty-two percent of these specimens harbored clinically relevant mutations in at least one screened gene. Among these, 86% had a mutation in KRAS, 7% in NRAS, 6% in BRAF, and 2% in both NRAS and BRAF. Only tumor location in the proximal colon exhibited a significant correlation with KRAS and BRAF mutational status (p-value = 0.0414 and 0.0065, respectively). Further t-SNE analyses were made to 191 specimens to reveal patterns among patients with clinical parameters and KRAS mutational status. Then, directed by the results from classical statistical tests and t-SNE analysis, neural network models utilized entity embeddings to learn patterns and build predictive models using a minimal number of trainable parameters. This study could be the first step in the prediction for RAS/BRAF mutational status from tumoral features and could lead the way to a more detailed and more diverse dataset that could benefit from machine learning methods.
- Published
- 2020
31. Battery warm-up methodologies at subzero temperatures for automotive applications: recent advances and perspectives
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Yusheng Zheng, Aoife Foley, Xiaosong Hu, Hector E. Perez, David A. Howey, and Michael Pecht
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Electric vehicles ,Pollutant emissions ,020209 energy ,General Chemical Engineering ,Automotive industry ,Energy Engineering and Power Technology ,02 engineering and technology ,Thermal management of electronic devices and systems ,Battery preheating ,Automotive engineering ,Battery management systems ,Batteries ,0202 electrical engineering, electronic engineering, information engineering ,Low temperatures ,Overall performance ,SDG 7 - Affordable and Clean Energy ,Driving range ,business.industry ,021001 nanoscience & nanotechnology ,Fuel Technology ,Sustainable transport ,Fuel efficiency ,Environmental science ,Thermal management ,SDG 9 - Industry, Innovation, and Infrastructure ,0210 nano-technology ,business - Abstract
Electric vehicles play a crucial role in reducing fuel consumption and pollutant emissions for more sustainable transportation. Lithium-ion batteries, as the most expensive but least understood component in electric vehicles, directly affect vehicular driving range, safety, comfort, and reliability. However, the overall performance of traction batteries deteriorates significantly at low temperatures due to the reduced electrochemical reaction rate and accelerated health degradation, such as lithium plating. Without timely and effective actions, this performance degradation causes operational difficulties and safety hazards for electric vehicles. Battery warm-up/preheating is of particular importance when operating electric vehicles in cold geographical regions. To this end, this paper reviews various battery preheating strategies, including external convective and conductive preheating, as well as the latest progress in internal heating solutions. The effects of low temperature on batteries from the perspectives of cell performance as well as materials properties are briefly summarized. Thermal science issues involved in warm-up are also elucidated. The framework of battery management systems (BTMS) at low temperatures, including the key design considerations at different battery integration levels and the overall classification of warm-up approaches into external and internal groups, are introduced in detail. Next, a comprehensive literature review on different warm-up strategies is presented, and the basic principles, advantages, disadvantages, and potential improvements of each strategy are elaborated. Finally, future trends of battery warm-up methods are discussed in terms of key technologies, promising opportunities, and challenges.
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- 2020
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32. Design and Implementation of a Test Fixture for ELF Schumann Resonance Magnetic Antenna Receiver and Magnetic Permeability Measurements
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Spyridon K. Chronopoulos, Hector E. Nistazakis, Panos Kostarakis, Vasilis Christofilakis, Christos Repapis, Giorgos Tatsis, and V. Tritakis
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010504 meteorology & atmospheric sciences ,Computer Networks and Communications ,Test fixture ,lcsh:TK7800-8360 ,010502 geochemistry & geophysics ,01 natural sciences ,Optics ,Extremely low frequency ,Electrical and Electronic Engineering ,0105 earth and related environmental sciences ,Computer Science::Information Theory ,Physics ,Schumann resonances ,business.industry ,magnetic antenna ,Detector ,lcsh:Electronics ,ELF test fixture ,calibration ,Magnetic flux ,ELF Schumann resonance detector ,Hardware and Architecture ,Control and Systems Engineering ,Electromagnetic coil ,Signal Processing ,Antenna (radio) ,measurements ,business ,Noise (radio) - Abstract
This paper presents a prototype test fixture for the absolute calibration and estimation of the equivalent magnetic flux noise of the extremely low frequency (ELF) Schumann resonant (SR) magnetic antenna receiver and rods&rsquo, magnetic permeability measurement. The test fixture, for ELF the SR detector&rsquo, s calibration, consists of a constructed coil, the signal generator, and the oscilloscope. The ELF SR detector used has been operating since 2016 near the Doliana village in the Ioannina prefecture, Northwestern Greece. At precisely this spot, far away from electromagnetic noise, the whole setup and experiment took place. The experiments performed with the proposed test fixture showed a sensitivity of 70 nV/pT/Hz and an apparent magnetic permeability at around 250 for the magnetic antenna. The total sensitivity of the ELF receiver was 210 mV/pT near 20 Hz, while the total input noise was around 0.04 pT.
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- 2020
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33. Covid 19 and Ivermectin Prevention and Treatment Update
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Carvallo Hector E
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medicine.medical_specialty ,Ivermectin ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Internal medicine ,medicine ,business ,medicine.drug - Published
- 2020
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34. Modulated Retro-Reflector Transdermal Optical Wireless Communication Systems with Wavelength Diversity over Skin-Induced Attenuation and Pointing Errors
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Hector E. Nistazakis, George D. Roumelas, K.K.M. Rahman, G.K. Varotsos, Fadi Jaber, and K. Aidinis
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Computer science ,business.industry ,Attenuation ,020206 networking & telecommunications ,02 engineering and technology ,Communications system ,01 natural sciences ,Signal ,010309 optics ,Optics ,Modulation ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,Optical wireless ,Path loss ,Fading ,Transceiver ,business - Abstract
In this work the potential for the enhancement of the outage performance of a common transdermal optical wireless (TOW) communication link is investigated by utilizing both retro-reflective modulation and wavelength diversity techniques. In this respect, an external multi-laser transceiver emits at the same time the interrogating laser signal through different optical wavelengths towards the implanted modulated retro-reflector (MRR), which modulates and reflects the arriving optical beams back to the transceiver unit equipped with the corresponding photo detector apertures, recovering data signals originated from the in-body retro-modulator. Additionally, taking into consideration the stochastic nature of pointing errors effects along with the transdermal path loss, an outage analysis is performed for the proposed TOW architecture. Under these circumstances, by jointly estimating both skin-induced attenuation and misalignment-induced fading, novel, accurate and compact mathematical expressions are derived for the evaluation of outage probability of the total TOW system, using various wavelength diversity retro-reflective configurations. The results demonstrate the feasibility of our suggestions and that the wavelength diversity is as a very efficient method for significantly enhancing the availability of a common retro-reflective TOW link.
- Published
- 2019
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35. Analysis, Synchronization and Microcontroller Implementation of a Generalized Hyperjerk System, with Application to Secure Communications Using a Descriptor Observer
- Author
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Karim Kemih, Hocine Takhi, Lazaros Moysis, Christos Volos, Sotirios K. Goudos, and Hector E. Nistazakis
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Microcontroller ,Observer (quantum physics) ,Computer science ,Generalization ,business.industry ,Descriptor systems ,Synchronization (computer science) ,SIGNAL (programming language) ,State (computer science) ,business ,Input reconstruction ,Computer hardware - Abstract
This work proposes a novel hyperjerk system, as a generalization of a hyperjerk system proposed by Dalkiran and Sprott. Initially an analysis of the dynamical behavior of the system is performed. Then, the system is applied to the problem of secure communications. This is done by considering the transmitting signal as an additional state, leading to a rectangular descriptor system, for which an observer is designed, thus achieving synchronization and safe input reconstruction. The design is illustrated through numerical simulations and a microcontroller implementation.
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- 2019
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36. Performance Analysis of Hard-Switching Based Hybrid FSO/RF System over Turbulence Channels
- Author
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Sajid Sheikh Muhammad, Hector E. Nistazakis, Hira Khalid, and George S. Tombras
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General Computer Science ,Computer science ,ergodic capacity ,02 engineering and technology ,01 natural sciences ,lcsh:QA75.5-76.95 ,Theoretical Computer Science ,010309 optics ,020210 optoelectronics & photonics ,Free Space Optics (FSO) ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,Electronic engineering ,Wireless ,Fading ,Rayleigh fading ,Turbulence ,Wireless network ,business.industry ,Applied Mathematics ,Gamma-Gamma distribution ,bit error rate ,Outage Probability ,Modeling and Simulation ,Hybrid system ,Bit error rate ,Radio frequency ,lcsh:Electronic computers. Computer science ,business - Abstract
The hybrid system of free space optic (FSO) and radio frequency (RF) has come forth as alternative good solution for increasing demand for high data rates in wireless communication networks. In this paper, wireless networks with hard-switching between FSO and RF link are analyzed, assuming that at a certain time point either one of the two links are active, with FSO link having higher priority. As the signal-to-noise ratio (SNR) of FSO link falls below a certain selected threshold, the RF link is activated. In this work, it is assumed that the FSO link follows Gamma-Gamma fading due to the atmospheric turbulence effect whereas RF link experiences Rayleigh fading. To analyze the proposed hybrid model, analytical expressions are derived for the outage probability, bit error rate and ergodic capacity. A numerical comparison is also done between the performances of the proposed hybrid FSO/RF model and the single FSO model.
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- 2019
37. Performance of Underwater Wireless Optical Link Under Weak Turbulence and Pointing Errors Using Heterodyne QAM Technique
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George S. Tombras, Hector E. Nistazakis, A.N. Stassinakis, G.K. Varotsos, National and Kapodistrian University of Athens (NKUA), Department of Electronics and Computer Engineer [Grèce]ing (HMMY), Technical University of Crete [Chania], Anna Tzanakaki, Manos Varvarigos, Raul Muñoz, Reza Nejabati, Noboru Yoshikane, Markos Anastasopoulos, Johann Marquez-Barja, TC 6, and WG 6.10
- Subjects
Heterodyne ,Gamma distribution ,BER ,business.industry ,Computer science ,Optical link ,02 engineering and technology ,Pointing errors ,01 natural sciences ,Optical wireless communications ,010309 optics ,QAM ,Turbulence ,[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] ,020210 optoelectronics & photonics ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,Bit error rate ,Electronic engineering ,Wireless ,Underwater optical communications ,[INFO]Computer Science [cs] ,Heterodyne detection ,Underwater ,business - Abstract
Part 2: Poster Papers; International audience; Underwater optical wireless communications (UOWC) have gained attention due to the advantages they offer that can greatly alter the performance of a link. But such systems are affected by absorption and non predictable factors that may decrease the availability and the reliability of the system. In this work, the bit error rate (BER) of an underwater optical link with heterodyne detection modulated with M-QAM technique in presence of turbulence and pointing errors will be investigated. This investigation will lead to a closed form mathematical expression for the BER as a function of link parameters, that is very important in order to deploy an effective link. Various numerical results will also be presented for the reliability of the system.
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- 2019
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38. Sample Size Criteria for Estimating the Prevalence of a Disease
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Athanassios Katsis and Hector E. Nistazakis
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business.industry ,Sample size determination ,Medicine ,Disease ,business ,Demography - Published
- 2019
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39. Pedagogical Approaches to 21st Century Learning: A Model to Prepare Learners for 21st Century Competencies and Skills in Engineering
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G. Frache, George S. Tombras, Hector E. Nistazakis, and Natoya Thompson
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Vocational learning ,Teamwork ,Information transmission ,Higher education ,business.industry ,media_common.quotation_subject ,05 social sciences ,050301 education ,Directive ,Critical thinking ,Engineering education ,ComputingMilieux_COMPUTERSANDEDUCATION ,0501 psychology and cognitive sciences ,Quality (business) ,Engineering ethics ,Sociology ,business ,0503 education ,050104 developmental & child psychology ,media_common - Abstract
The delivery of teaching and learning along with its approach is essential to 21st-century skills educational outcomes in the UAE. In today’s society, it is crucial to identify specific competencies and skills to develop the learner and answer to the demand of what employers need for the future. The UAE Vision 2021’s includes a directive for UAE Higher Education (HE) institutions to “listen closely to the needs of Emiratis and of their future employers” and to “balance their teaching to the demands of the workplace.” To respond to this call, engineering education and training institutes need to implement a pedagogical model that aims to challenge the ever-changing and complex challenges in the workplace. As UAE employers look for engineering graduates with skills in various areas such as critical thinking, effective communication, innovation, and problem-solving, the pedagogy models adopted by HE institutes seldom addresses these needs. How best to acquire and practice these skills is overlooked mainly as this has to do with the embedded approach of traditional information transmission model. This paper, considers the essential pedagogical approaches to contribute to the development and mastery of twenty-first-century competencies and skills and proposes a model to advance the quality and effectiveness of vocational learning atHEinstitutes across the UAE.
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- 2019
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40. Research and Categorization of Conceptual Difficulties in Electricity’s Concepts and Basic Laws
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E. C. Kapotis, G.G. Vavasis, Hector E. Nistazakis, K. Stavropoulos, G. Frache, George S. Tombras, and G. Mkrttchian
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Educational approach ,Categorization ,Work (electrical) ,business.industry ,Order (exchange) ,Management science ,Face (sociological concept) ,Resistance (psychoanalysis) ,Electricity ,business - Abstract
In this work, we present the research that we conducted in order to detect students’ difficulties in understanding the basic concepts and phenomena of Electricity and Electronic Physics. The analysis not only confirms the findings of the existing literature, but also completes it with new ones. These results dictate us to create an educational approach that tackles the difficulties found.
- Published
- 2019
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41. Sharing knowledge for policy action in low- and middle-income countries: A literature review of managed entry agreements
- Author
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Ana Amaris, Tanya Malpica-Llanos, Ruth Musila, Jennifer Sullivan, Colin Gilmartin, Hector E. Castro, and Niranjan Konduri
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03 medical and health sciences ,lcsh:R5-920 ,0302 clinical medicine ,Action (philosophy) ,Public economics ,Low and middle income countries ,030503 health policy & services ,Risk sharing ,030212 general & internal medicine ,Business ,0305 other medical science ,lcsh:Medicine (General) ,Access to medicines - Abstract
Managed entry agreements (MEAs)—a type of formal institutional arrangement between pharmaceutical companies and payers for sharing the risk with respect to the introduction of new pharmaceutical technologies—may expand access to new pharmaceutical technologies for non-communicable diseases (NCDs). Although common in highincome countries (HICs), there is limited evidence of their use in low- and middle-income countries (LMICs). This article aims to document international experiences of countries implementing MEAs and potential barriers and facilitators for their use in LMICs. We reviewed published literature sources on MEAs over the past 10 years considering peer-reviewed publications and gray literature data. We took into consideration the MEAs taxonomy presented by Kanavos and Ferrario et al. to categorize our findings, and extract information on factors for their implementation. We retrieved 285 MEAs documented in the literature, mostly from HICs and for a broad spectrum of NCDs. Financial schemes were slightly more prominent than performance-based agreements. Identified factors that could potentially facilitate or hinder the implementation of MEAs included the presence of quality administrative and information systems to track their implementation; availability of quality data and evidence of positive outcomes; uncertainty of drug efficacy/effectiveness, safety, and financial impact; and cultural factors, namely country’s preference for certain type of agreement and trust among payers and manufacturers. The increased availability of publications in recent years suggests a growing interest among policy-makers and researchers in the implementation of MEAs. While the use of MEAs in LMICs is very limited, this could be the result of limited empirical evidence on its use and possibly due to the use of a different taxonomy for describing MEAs in these settings. As any other policy option, the implementation and use of MEAs come with advantages and challenges. Since there is limited evidence on their use in LMICs, the identified cases of implementation in HICs may serve to inform the interest on MEAs in resource limited settings. Therefore, further research in this field especially in the context of LMICs may be of value for the global community as all countries are embarking into fairer and sustainable Universal Health Coverage (UHC).
- Published
- 2019
42. Statistical modeling of received signal strength for an FSO link over maritime environment
- Author
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Konstantinos Peppas, Keith Cohn, Antonios Lionis, Hector E. Nistazakis, A.D. Tsigopoulos, Naval Postgraduate School (U.S.), and Physics
- Subjects
business.industry ,Atmospheric turbulence ,Refractive index structure parameter ,Statistical model ,Navy Surface Layer Model ,Atomic and Molecular Physics, and Optics ,Wind speed ,Electronic, Optical and Magnetic Materials ,Channel capacity ,Optics ,Dew point ,Free space optical communication ,Performance prediction ,Environmental science ,Received signal strength indicator ,Electrical and Electronic Engineering ,Physical and Theoretical Chemistry ,business ,Performance metric ,Free-space optical communication ,Communication channel ,Remote sensing - Abstract
17 USC 105 interim-entered record; under temporary embargo. Free space optical communications (FSO) have the potential to substantially improve communications technology in terms of channel capacity and offer an alternative to their RF counterpart. Additional characteristics related to security, immunity, flexibility and low cost issues render FSO a reasonable candidate for military applications. FSO technology does not come without challenges. Its major issue is the local meteorological parameters that give rise to various atmospheric phenomena. The purpose of this work is to facilitate the performance prediction of an FSO communication link over a maritime environment by utilizing macroscopic meteorological parameters, i.e. air temperature, wind speed, relative humidity, air pressure, dew point, solar radiation and sea temperature, obtained from point measurements. The received signal strength indicator (RSSI) of the FSO receiver has been utilized as the performance metric of the channel and a closed form expression has been deduced. The model has then been validated against real meteorological data and the predicted RSSI values exhibited a reasonably strong correlation with the observed ones. Atmospheric turbulence has been taken into account using the Navy Surface Layer Model (NAVSLaM) to estimate the structure index parameter from the same meteorological data and thus allowed for a statistical correlation between the refractive index structure parameter and RSSI. U.S. Government affiliation is unstated in article text.
- Published
- 2021
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43. A survey of intracranial aneurysm treatment practices among United States physicians
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Andrew F. Ducruet, Joshua A Hirsch, Hector E Soriano-Baron, William J. Mack, Maxim Mokin, John A. Wilson, J D Mocco, Kyle M Fargen, Italo Linfante, Felipe C. Albuquerque, Julia Rushing, and Stacey Q Wolfe
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Adult ,Male ,medicine.medical_specialty ,Subarachnoid hemorrhage ,Neurology ,Aneurysm, Ruptured ,Neurosurgical Procedures ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Aneurysm ,Aneurysm treatment ,Physicians ,Surveys and Questionnaires ,medicine ,Humans ,In patient ,cardiovascular diseases ,Endovascular treatment ,Aged ,business.industry ,Endovascular Procedures ,Intracranial Aneurysm ,General Medicine ,Middle Aged ,medicine.disease ,Embolization, Therapeutic ,United States ,Surgery ,Natural history ,Management strategy ,Neurosurgeons ,Treatment Outcome ,Emergency medicine ,Female ,Neurology (clinical) ,business ,030217 neurology & neurosurgery ,Follow-Up Studies - Abstract
BackgroundRecent surveys have failed to examine cerebrovascular aneurysm treatment practices among US physicians.ObjectiveTo survey physicians who are actively involved in the care of patients with cerebrovascular aneurysms to determine current aneurysm treatment preferences.MethodsA 25-question SurveyMonkey online survey was designed and distributed electronically to members of the Society of NeuroInterventional Surgery, Society of Vascular and Interventional Neurology, and the American Association of Neurological Surgeons/Congress of Neurological Surgeons Combined Cerebrovascular Section.Results211 physicians completed the survey. Most respondents recommend endovascular treatment as the first-line management strategy for most ruptured (78%) and unruptured (71%) aneurysms. Thirty-eight per cent of respondents indicate that they routinely treat all patients with subarachnoid hemorrhage regardless of grade. Most physicians use the International Study of Unruptured Intracranial Aneurysms data for counseling patients on natural history risk (80%); a small minority (11%) always or usually recommend treatment of anterior circulation aneurysms of ConclusionsThis survey demonstrates considerable variability in patient selection for intracranial aneurysm treatment, preferred treatment strategies, and follow-up imaging schedules among US physicians.
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- 2017
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44. FSO links with diversity pointing errors and temporal broadening of the pulses over weak to strong atmospheric turbulence channels
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George S. Tombras, Hector E. Nistazakis, Ch. K. Volos, and G.K. Varotsos
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Physics ,business.industry ,Gaussian ,Keying ,02 engineering and technology ,Communications system ,01 natural sciences ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,010309 optics ,symbols.namesake ,020210 optoelectronics & photonics ,Optics ,Transmission (telecommunications) ,0103 physical sciences ,Dispersion (optics) ,0202 electrical engineering, electronic engineering, information engineering ,symbols ,Electronic engineering ,Electrical and Electronic Engineering ,business ,Communication channel ,Data transmission ,Jitter - Abstract
Free space optical (FSO) communication systems show a growing evolution in the commercial and the research field, due to the huge information capacity they provide along with the unlicensed and secure data transmission they can support. However, several destructive effects, such as the atmospheric turbulence and attenuation, the longitudinal pulse broadening due to the time dispersion, the spatial jitter which caused by the pointing errors between the trans-receivers, among others, mitigate their performance characteristics. Thus, for the improvement of the FSO communication systems’ performance, many techniques have been proposed, studied and used. In this work, we present a performance study and we derive closed form mathematical expressions for the estimation of the probability of fade for On–Off keying FSO communication systems which use Gaussian longitudinal pulses as information bit carriers, with reception diversity, over gamma gamma or gamma modelled, atmospheric turbulence channels taking into account the pointing errors and the group velocity dispersion (GVD) effect which, affects significantly the systems performance characteristics, especially for long link lengths and high data rate transmission. Finally, the derived mathematical expressions are used in order to present performance results, using common parameter values for channel's and systems’ characteristics.
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- 2016
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45. 100. Effect of Disinfection Tracking System on Cleaning Events of Portable Medical Equipment
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Chetan Jinadatha, Yonhui Allton, Hector E Ramirez, John D Coppin, Hosoon Choi, JulieAnn Martel, Patrick Crowley, Marjory Williams, Sarah Simmons, Piyali Chatterjee, Deborah G Passey, and Mark Stibich
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Nephrogenic Fibrosing Dermopathy ,medicine.medical_specialty ,business.industry ,Medical equipment ,Tracking system ,medicine.disease ,Interrupted Time Series Analysis ,Infectious Diseases ,AcademicSubjects/MED00290 ,Oncology ,Acute care ,Poster Abstracts ,Medicine ,Medical emergency ,business - Abstract
Background Portable Medical Equipment (PME) can play a vital role in transmission of multidrug-resistant organisms. Cleaning PME is challenging and protocols vary by institution. Tracking of PME cleaning events is usually performed manually and demonstration of compliance with protocols is difficult. We studied a Disinfection Tracking Systems (DTS) to understand its potential role in tracking disinfection events of PME and whether its implementation led to improvement in the number of cleaning events. The DTS device was designed to automatically register several types of disinfection events and could be set to display time since last disinfected on the screen. Methods For a 25-day period, a single acute care unit received a DTS device with the display screen off but with the ability to detect and log disinfection events in a database from a disinfectant wipe. After the 25-day screen-off period the DTS units screen was turned on to display the number of hours since the last recorded disinfection event (Figure 1) for a 42-day period. DTS devices were placed on 10 computer-on-wheels (COW) and 5 vitals machine (VM). An interrupted time series analysis, using a Bayesian model compared the number of events in the display screen-off to the screen-on period. Disinfection Tracking System with Screen-off and Screen-on Results During the 25-day screen-off period, there were a total of 345 events captured with 61 events on VM and 284 on COWs averaging 0.49 and 1.26 cleaning events for VM and COWs respectively per day. During the 42-day screen-on period, there were 845 total disinfection events with 104 events on VM and 741 events on COWs with 0.50 and 1.76 mean events for VM and COWs respectively per day. The mean events per device per day in the screen-on period for COW’s were 1.32 (1.10 – 1.57) times greater than those in the screen-off Period. The mean events per device per day in the screen-on period for VM devices was 1.37 (0.89 – 2.01) times greater than those in the screen-off period. Conclusion Disinfection events for COWs and VMs were found to be above the local policy requirements. Implementation of a DTS device was able to increase the rate of disinfection events for COWs potentially due to the prompt on the screen. Additionally, it captured disinfection events successfully on the database demonstrating its effective to be a tool for demonstration of compliance. Disclosures Mark Stibich, PhD MHS, Xenex Disinfection Services, Inc (Board Member, Employee) Sarah Simmons, DrPH, Xenex Disinfection Services (Employee, Shareholder) Chetan Jinadatha, MD, MPH, AHRQ (Research Grant or Support)Department of Veterans Affairs (Other Financial or Material Support, Owner: Department of Veterans Affairs. Licensed to: Xenex Disinfection System, San Antonio, TX)Inventor (Other Financial or Material Support, Methods for organizing the disinfection of one or more items contaminated with biological agents)NiH/NINR (Research Grant or Support)NSF (Research Grant or Support)Xenex Healthcare Services (Research Grant or Support)
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- 2020
46. Pointing errors influence at the performance of a multi-hop terrestrial FSO link emulated by a dual-hop scheme
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Nikolaos A. Androutsos, Hector E. Nistazakis, Argyrios N. Stassinakis, George S. Tombras, and Wilfried Gappmair
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Scintillation ,business.industry ,Computer science ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Communications system ,01 natural sciences ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,Hop (networking) ,law.invention ,010309 optics ,Backhaul (telecommunications) ,Optics ,Relay ,law ,0103 physical sciences ,Optical wireless ,Electronic engineering ,Electrical and Electronic Engineering ,Physical and Theoretical Chemistry ,0210 nano-technology ,business ,5G ,Communication channel - Abstract
The last years, FSO technologies raised interest from both scientific and commercial point of view. However, due to the optical beam propagation through the atmosphere, the signal is impaired by several phenomena like the scintillation effect, mainly because of atmospheric turbulence and imperfect misalignment between optical beam and destination terminal. In order to mitigate their negative influence, various countermeasures have been proposed. A well-known technique to preserve their performance over long distances is the employment of decode-and-forward (DF) relay nodes. Nevertheless, when the signal propagates over composite channels, characterized by atmospheric turbulence along with pointing errors effects, the employment of several DF relays increases significantly the complexity of the mathematical models used for performance evaluation. Motivated by this, we are trying to reduce the complexity of these expressions in the current work by replacing the multi-hop relay configuration via an equivalent dual-hop scheme. For first time, to the best of our knowledge, we are trying to emulate such an FSO system taking into account the simultaneous influence of both, atmospheric turbulence and pointing errors effects, in order to derive closed form mathematical expressions, which can be used in practice for the design of very fast optical wireless communication systems which can be used in the 5G/5G+ networks, mainly as backhaul communication links and support reliable their operation.
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- 2020
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47. Pre-operative Pulmonary Function and Association with Left Ventricular Assist Devices Outcomes
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Amit Pawale, Tingqing Wu, Jonathan D. Rich, Anuj K. Chokshi, Jane E. Wilcox, Ike S. Okwuosa, Faraz S. Ahmad, Hector E. Cajigas, Rebecca Harap, Duc Thinh Pham, Anjan Tibrewala, Kambiz Ghafourian, and Esther Vorovich
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medicine.medical_specialty ,Lung ,business.industry ,medicine.disease ,Obstructive lung disease ,Pulmonary function testing ,Pneumonia ,medicine.anatomical_structure ,DLCO ,Internal medicine ,Diffusing capacity ,Pulmonary fibrosis ,medicine ,Cardiology ,Restrictive lung disease ,Cardiology and Cardiovascular Medicine ,business - Abstract
Introduction Comorbidities including pulmonary disease are common in patients undergoing LVAD implantation. The impact of pre-implant pulmonary function on post-implant LVAD outcomes has not been comprehensively explored. In this study, we examined the association between pre-implant pulmonary function on post-implant outcomes. Methods A retrospective review of 415 primary LVAD implants at our center between 2008 and 2019 identified 251 patients with pre-implant pulmonary function tests (PFT), of which 248 had pre-implant chest CT scans. PFT results were classified as obstructive or restrictive and were sub-stratified by severity. Chest CT scan findings were assessed for presence of fibrosis or emphysema. Our primary outcome was 1-year mortality. Secondary outcomes included reintubation, days on mechanical ventilation, post-operative pneumonia, ICU length of stay (LOS), hospital LOS and 30-day mortality. Continuous variables were evaluated using two-sample Student's t-test or Wilcoxon test. Categorical variables were evaluated using χ2 test or Fisher's exact test. The group comparison in outcomes were assessed using logistics regression and linear regression. Results PFTs and chest CT scans were completed at a median of 42 days (IQR 18-127 days) and 26 days (IQR 10-63 days), respectively, prior to LVAD implantation. 84 patients (35%) had obstructive lung disease (52% moderately severe or severe) and 132 patients (55%) had restrictive lung disease (23% moderately severe or severe). Lung diffusing capacity for carbon monoxide (DLCO) was normal in 23% of patients and reduced in others by mild (29%), moderate (41%) or severe (7%) degrees. Presence or severity of either obstructive or restrictive lung disease on PFTs were not associated with primary or secondary outcomes. Severe reduction in DLCO and presence of fibrosis on chest CT scan were both strongly predictive of mortality at 30 days (OR 10.0, CI 1.52-65.63, p Conclusions Pulmonary disease is common in patients undergoing LVAD implantation. The presence and severity of obstructive or restrictive lung disease on pre-implant PFTs were not predictive of post LVAD outcomes. However, a severe reduction of DLCO and pulmonary fibrosis on pre-implant chest CT scan were associated with 30-day and 1-year mortality.
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- 2020
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48. On the performance of optical wireless communication links impaired by time jitter, M-turbulence and pointing errors
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Hector E. Nistazakis, George D. Roumelas, George S. Tombras, Argyrios N. Stassinakis, and Erich Leitgeb
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Scintillation ,Atmosphere (unit) ,Computer science ,business.industry ,Turbulence ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Communications system ,01 natural sciences ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,Optical wireless communications ,010309 optics ,Optics ,Modulation ,0103 physical sciences ,Modulation (music) ,Electronic engineering ,Optical wireless ,Electrical and Electronic Engineering ,Physical and Theoretical Chemistry ,0210 nano-technology ,business ,Jitter - Abstract
The interest for the optical wireless communication systems increases significantly the last years due to the very high advantages of this technology. More specifically, the FSO links can achieve very high data rate and secure communications with low installation and operational cost. However, the main disadvantage of the FSO links is that their performance is dominated by the weather conditions and the turbulence of the atmosphere, where the optical beam propagates. The atmospheric turbulence mitigates significantly the performance of the FSO links and causes the scintillation effect, which results in rapid irradiance fluctuations at the receivers. Furthermore, another factor which increases the influence of the atmospheric turbulence and causes further fast changes at the receivers’ irradianceis the pointing errors. Additionally, the performance of most of the high data rate communication systems, is reduced by the time jitter effect, which causes the detection of each digital pulse before or later than the ideal time spot. Thus, in this work, the performance of a terrestrial FSO link is investigated, for first time under the simultaneous action of the M(alaga) atmospheric turbulence, the pointing errors and the time jitter effects for various, commonly used in FSO links, modulation schemes. Taking into account their joint influence, new accurate closed form mathematical expressions are derived for the average BER estimation. Finally, the corresponding numerical results and conclusions are shown and derived.
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- 2020
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49. A Dream that has Come True: Chaos from a Nonlinear Circuit with a Real Memristor
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Christos Volos, Viet-Thanh Pham, Hector E. Nistazakis, and Ioannis N. Stouboulos
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Computer science ,media_common.quotation_subject ,Nonlinear circuits ,02 engineering and technology ,Memristor ,Field (computer science) ,law.invention ,Computer Science::Hardware Architecture ,Computer Science::Emerging Technologies ,law ,0202 electrical engineering, electronic engineering, information engineering ,Dream ,Engineering (miscellaneous) ,media_common ,business.industry ,Applied Mathematics ,020208 electrical & electronic engineering ,Electrical engineering ,021001 nanoscience & nanotechnology ,Nonlinear Sciences::Chaotic Dynamics ,CHAOS (operating system) ,Nonlinear system ,Modeling and Simulation ,Element (category theory) ,0210 nano-technology ,business - Abstract
In the last decade, researchers, who work in the field of nonlinear circuits, have the “dream” to use a real memristor, which is the only nonlinear fundamental circuit element, in a new or other reported nonlinear circuit in literature, in order to experimentally investigate chaos. With this intention, for the first time, a well-known nonlinear circuit, in which its nonlinear element has been replaced with a commercially available memristor (KNOWM memristor), is presented in this work. Interesting phenomena concerning chaos theory, such as period-doubling route to chaos, coexisting attractors, one-scroll and double-scroll chaotic attractors are experimentally observed.
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- 2020
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50. 821. Portable Medical Equipment Disinfection: How often does it occur?
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JulieAnn Martel, John D Coppin, Piyali Chatterjee, Hector E Ramirez, Hosoon Choi, Marjory Williams, Sarah E. Simmons, Chetan Jinadatha, Deborah G Passey, Patrick Crowley, and Mark Stibich
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Nephrogenic Fibrosing Dermopathy ,medicine.medical_specialty ,business.industry ,Medical equipment ,medicine.disease ,Patient room ,Health personnel ,AcademicSubjects/MED00290 ,Infectious Diseases ,Oncology ,Acute care ,Poster Abstracts ,medicine ,Medical emergency ,business - Abstract
Background Portable Medical Equipment (PME) are routinely used by healthcare workers (HCWs). Transmission of healthcare-acquired infections has been attributed to PME. Our institution policy requires at least once daily PME disinfection. Automated tracking of disinfection events by Disinfection Tracking System (DTS) makes routine monitoring possible. We tested the device to see if it could provide accurate information about disinfection practices and patterns, as well as be used to accurately monitor compliance with policy. Methods Data obtained from DTS devices on PME from 2 acute care wards over a 25-day period was obtained. DTS devices record disinfection events and are automatically stored for monitoring. DTS was placed on 10 computer-on-wheels (COWs) and 5 vitals machine (VMs) on both the wards. One ward received DTS with “Screen-on” feedback displaying the time since last disinfection event, and one unit had no display on the screen (screen-off). The number of recorded events was summed over the 25-day period and sorted by time of day to determine the pattern of events over a typical 24-hour period. Minute “0” indicates start of each monitoring period in a 24-hour cycle and corresponds to 12 midnight (Figure 1). Results A total of 421 moisture events were recorded for the screen-on and 345 for the screen-off, during the 25-day implementation period. The highest number of events occurred between 6am and 7am, with 69 moisture events recorded in the screen-on group and 75 events were recorded for the screen-off group. Further, 37 events were recorded in the screen-on group and 43 events in the screen-off group between 2pm and 3pm. Between 6pm and 7pm the screen-on group showed 52 moisture events and 32 events for the screen-off group. Figures 1 shows the three peaks corresponding with a spike in disinfection events. Conclusion The pattern of disinfection events over 24 hours demonstrate that most events occurred regularly at certain times in the day. These time points correspond with higher volumes of disinfection happening at the beginning of shift changes for nursing. It also demonstrated that disinfection rates were higher than the policy recommended once a day PME disinfection. DTS has the potential to continuously record & report data related of disinfection events on PME in healthcare settings. Disclosures Chetan Jinadatha, MD, MPH, AHRQ (Research Grant or Support)Department of Veterans Affairs (Other Financial or Material Support, Owner: Department of Veterans Affairs. Licensed to: Xenex Disinfection System, San Antonio, TX)Inventor (Other Financial or Material Support, Methods for organizing the disinfection of one or more items contaminated with biological agents)NiH/NINR (Research Grant or Support)NSF (Research Grant or Support)Xenex Healthcare Services (Research Grant or Support) Mark Stibich, PhD MHS, Xenex Disinfection Services, Inc (Board Member, Employee) Sarah Simmons, DrPH, Xenex Disinfection Services (Employee, Shareholder)
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- 2020
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