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2,895 results on '"Robinson, Matthew"'

3. Infra-red thermographic inversion in ST40

Author

Moscheni, Matteo, Maartensson, Erik, Robinson, Matthew, Marsden, Chris, Rengle, Adrian, Scarabosio, Andrea, Bunting, Patrick, Gray, Travis Kelly, Janhunen, Salomon, Vekshina, Elena, and Zhang, Xin

Subjects
Physics - Plasma Physics
Abstract

Infra-red (IR) thermography is an essential diagnostic tool for understanding the edge plasma behavior in fusion devices. In this work, we present a new in-house numerical tool, Functional Analysis of Heat Flux (FAHF), for IR thermographic inversion on Tokamak Energy's spherical tokamak (ST40). FAHF, written in Python, is designed for multi-2D thermographic inversions by solving the heat conduction equation within the divertor tiles using the finite difference method, and an explicit time stepping scheme. Utilising IR camera data with the highest available effective spatial resolution, FAHF calculates the plasma perpendicular heat flux density on the divertor tile surfaces -- a crucial quantity for edge plasma analysis. The tool's internal numerics is first verified through formal time and space convergence analyses, and further corroborated by an energy balance assessment. Although FAHF demonstrates significant sensitivity to user-selected spatial resolution, precise heat flux values are recoverable by ensuring a sufficiently high resolution. Implications for the optimal resolution of both the code and the diagnostic system are discussed. Finally, FAHF's model and geometry simplifications are confirmed to be accurate within 10%, based on comparison with COMSOL Multiphysics simulations. As such, FAHF is proven to be a precise and accurate tool for IR thermographic inversions in ST40.

Published
2024

4. Pathogen genomic surveillance status among lower resource settings in Asia

Author

Getchell, Marya, Wulandari, Suci, de Alwis, Ruklanthi, Agoramurthy, Shreya, Khoo, Yoong Khean, Mak, Tze-Minn, Moe, La, Stona, Anne-Claire, Pang, Junxiong, Momin, Muhd Haziq Fikry Haji Abdul, Amir, Afreenish, Andalucia, Lucia Rizka, Azzam, Ghows, Chin, Savuth, Chookajorn, Thanat, Arunkumar, Govindakarnavar, Hung, Do Thai, Ikram, Aamer, Jha, Runa, Karlsson, Erik A., Le Thi, Mai Quynh, Mahasirimongkol, Surakameth, Malavige, Gathsaurie Neelika, Manning, Jessica E., Munira, Syarifah Liza, Trung, Nguyen Vu, Nisar, Imran, Qadri, Firdausi, Qamar, Farah Naz, Robinson, Matthew T., Saloma, Cynthia P., Setk, Swe, Shirin, Tahmina, Tan, Le Van, Dizon, Timothy John R., Thayan, Ravindran, Thu, Hlaing Myat, Tissera, Hasitha, Xangsayarath, Phonepadith, Zaini, Zainun, Lim, John C. W., Maurer-Stroh, Sebastian, Smith, Gavin J. D., Wang, Lin-Fa, and Pronyk, Paul

Published
2024
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6. Unraveling the ultrafast dynamics of thermal-energy chemical reactions

Author

Robinson, Matthew S. and Küpper, Jochen

Subjects
Physics - Chemical Physics, Physics - Atomic and Molecular Clusters
Abstract

In this perspective, we discuss how one can initiate, image, and disentangle the ultrafast elementary steps of thermal-energy chemical dynamics, building upon advances in technology and scientific insight. We propose that combinations of ultrashort mid-infrared laser pulses, controlled molecular species in the gas phase, and forefront imaging techniques allow to unravel the elementary steps of general-chemistry reaction processes in real time. We detail, for prototypical first reaction systems, experimental methods enabling these investigations, how to sufficiently prepare and promote gas-phase samples to thermal-energy reactive states with contemporary ultrashort mid-infrared laser systems, and how to image the initiated ultrafast chemical dynamics. The results of such experiments will clearly further our understanding of general-chemistry reaction dynamics., Comment: 12 pages, 6 figures

Published
2023

8. A program for real-time surveillance of SARS-CoV-2 genetics

Author

Brochu, Hayden N., Song, Kuncheng, Zhang, Qimin, Zeng, Qiandong, Shafi, Adib, Robinson, Matthew, Humphrey, Jake, Croy, Bobbi, Peavy, Lydia, Perera, Minoli, Parker, Scott, Pruitt, John, Munroe, Jason, Ghatti, Rama, Urban, Thomas J., Harris, Ayla B., Alfego, David, Norvell, Brian, Levandoski, Michael, Krueger, Brian, Williams, Jonathan D., Boles, Deborah, Nye, Melinda B., Dale, Suzanne E., Sapeta, Michael, Petropoulos, Christos J., Meltzer, Jonathan, Eisenberg, Marcia, Cohen, Oren, Letovsky, Stanley, and Iyer, Lakshmanan K.

Published
2024
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10. Author Correction: Pathogen genomic surveillance status among lower resource settings in Asia

Author

Getchell, Marya, Wulandari, Suci, de Alwis, Ruklanthi, Agoramurthy, Shreya, Khoo, Yoong Khean, Mak, Tze-Minn, Moe, La, Stona, Anne-Claire, Pang, Junxiong, Momin, Muhd Haziq Fikry Haji Abdul, Amir, Afreenish, Andalucia, Lucia Rizka, Azzam, Ghows, Chin, Savuth, Chookajorn, Thanat, Arunkumar, Govindakarnavar, Hung, Do Thai, Ikram, Aamer, Jha, Runa, Karlsson, Erik A., Le Thi, Mai Quynh, Mahasirimongkol, Surakameth, Malavige, Gathsaurie Neelika, Manning, Jessica E., Munira, Syarifah Liza, Trung, Nguyen Vu, Nisar, Imran, Qadri, Firdausi, Qamar, Farah Naz, Robinson, Matthew T., Saloma, Cynthia P., Setk, Swe, Shirin, Tahmina, Tan, Le Van, Dizon, Timothy John R., Thayan, Ravindran, Thu, Hlaing Myat, Tissera, Hasitha, Xangsayarath, Phonepadith, Zaini, Zainun, Lim, John C. W., Maurer-Stroh, Sebastian, Smith, Gavin J. D., Wang, Lin-Fa, and Pronyk, Paul

Published
2025
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11. Development and characterisation of an additive manufactured high-temperature resistojet

Author

Robinson, Matthew David, Grubisic, Angelo, and Walker, Scott

Abstract

The increasing capabilities of small satellites, and the transitioning of geostationary satellites to electric propulsion, are driving a demand for low-cost propulsion systems operating at low power and high thrust. Resistojets are an attractive technology to meet this demand, with high thrust-to-power ratio, simple construction, and compatibility with a wide range of propellants for integration into all-electric propulsion architectures. However, currently available resistojets operate at very low specific impulse, and their use is therefore limited. This can be improved by operating at higher temperatures, but there are many challenges associated with doing so. These include withstanding cyclic thermal stresses, counteracting increased inefficiency due to heat loss, and manufacturing difficulties associated with high-temperature materials. Advances in additive manufacturing technologies can help to overcome these challenges, enabling the production of complex heater geometries at low cost. The combination of industry demand and new manufacturing capabilities makes investigation of high-temperature resistojets timely. In the first part of this thesis, a previously developed proof-of-concept additive manufactured resistojet was tested to determine its endurance to thermal cycling representative of its operational conditions. Two premature failure modes were discovered through this experimental campaign using electrical diagnostics during testing. X-ray computed tomography imaging was used to non-destructively inspect the prototypes after testing, and the resulting images were combined with the in-situ data to determine the failure mechanisms. 3D numerical models incorporating coupled electrical, thermal and mechanical physics were used to investigate the temperature and stress distributions in the prototypes. The experimental and numerical approaches provided complementary insights into the complex behaviour of the resistojet, which includes operation of materials close to their melting points, and highly non-linear phenomena such as radiative heat transfer. Using these approaches, the design was updated to eliminate the identified failure modes by reducing the buildup of thermal stresses from differential thermal expansion. The new design was manufactured in the nickel alloys Inconel 718 and Hastelloy X, as well as in the refractory metal tantalum. An experimental campaign on the new design, the first to be reported in candidate flight materials for the high-temperature resistojet, showed an order of magnitude improvement in endurance, but failed to meet the requirements. The updated design was demountable, allowing visual inspection of the failure sites after testing. Numerical modelling indicated that the approach to thermal stress reduction was promising, and provided directions for further improvement. The second part of this thesis presented a second design iteration, manufactured using Inconel 625 and tantalum. Endurance tests showed for the first time that additive manufactured high-temperature resistojet heaters and engineering model thrusters could exceed the required cycle life for industrial application. Numerical models showed that this extended endurance was due to reduction of thermal stress, as a result of a design which matched the thermal expansion of different components. The performance of these thrusters was characterised by direct thrust measurements in vacuum. The Inconel 625 thruster achieved a maximum specific impulse with xenon of 61.6 +/- 0.6 s, at a thrust of 89 +/- 0.4 mN, using 3 bar supply pressure and 58 +/-$0.6 W input power. The thrust-to-power ratio in this test was 1.5 mN/W. Varying supply pressure from 2 to 4 bar at 58 W increased the thrust by a factor of 2 while maintaining >95 % of the maximum measured specific impulse. The tantalum thruster achieved a maximum specific impulse measured with argon of 120.6 +/- 0.9 s specific impulse at a thrust of 189.0 +/- 0.6 mN, using 7 bar supply pressure and 180 +/- 1.1 W input power. This performance implies a specific impulse of 66 s with xenon. These values exceed the specific impulse of commercial state-of-the-art resistojets by 28 % (Inconel 625) and 37 % (tantalum). The work presented in this thesis advances the field of propulsion by demonstrating, for the first time, that engineering model additive manufactured resistojets made from high-temperature materials can withstand cyclic operation for mission-relevant timescales; by directly measuring significantly greater specific impulse than that provided by the state of the art; and by developing combined numerical and experimental methods for analysing the thrusters, which can be used in future design efforts. This work has raised the technology readiness level of high-temperature additive manufactured resistojets from 3 to 5. It has demonstrated the potential of resistojets to address the identified needs of the space industry, and identified paths to develop further to a viable propulsion system.

Published
2023

12. 'I'm not just a doll on a shelf' : a qualitative study investigating post-16 students' experiences of having an Education, Health and Care Plan during their education

Author

Robinson, Matthew and Davis, Sahaja

Abstract

Education, Health and Care Plans (EHCPs) were introduced into the education system in 2015 following updated guidance from the Children and Families Act (Department for Education (DfE), 2014) and the Special Educational Needs and Disability Code of Practice (DfE & Department of Health and Social Care, 2015). EHCPs were implemented to support children and young people (CYP) with special educational needs or disabilities in education, creating a plan around the CYP, driven by outcomes and the support they require to progress. The plans were to be person-centred in philosophy, giving the CYP a voice in decisions, while embracing their families' views alongside educational, health and care professionals involved in their life (Frederickson & Cline, 2015). To date, some research has aimed to investigate professionals, families' and educational systems' implementation of EHCPs (Boesley & Crane, 2018; Sharma, 2021). There is little to date of CYPs' experiences of having an EHCP. This research aims to fill this void by exploring these experiences with CYP who have reached post-16 education and are heading towards adulthood. Adopting an interpretive phenomenological positionality, I sought to explore CYPs' experiences of having an EHCP, alongside what it was like to hear the information in the plans. Using semi-structured interviews and Interpretative Phenomenological Analysis as a research method, the study sought to interpret their experiences, presenting an initial venture into what has happened for these young people, and how professionals can potentially learn from these findings. Personal and group-level themes were identified, including the role of having a voice during their EHCP journeys, relationships and belonging, feelings around being an 'other', and the role the EHCP serves in feeling understood. Some inaccessible, troubling descriptions were highlighted in plans, alongside a sense EHCPs were creating a pathway to enter adulthood. Recommendations are made at the conclusion related to findings that have implications for Educational Psychologists, educational staff, special educational needs professionals, CYP and families. A framework based on self-determination theory (Ryan & Deci, 2000), a theme of the findings, linking to young people's progression towards adulthood is discussed. Limitations such as the small sample size conclude the thesis. Future research opportunities are then proposed such as attempting to gain a better understanding of how EHCP outcomes are constructed and more participatory research with CYP with EHCPs as an important future avenue to explore.

Published
2023

14. DNA methylation-based predictors of metabolic traits in Scottish and Singaporean cohorts

Author

Smith, Hannah M., Ng, Hong Kiat, Moodie, Joanna E., Gadd, Danni A., McCartney, Daniel L., Bernabeu, Elena, Campbell, Archie, Redmond, Paul, Taylor, Adele, Page, Danielle, Corley, Janie, Harris, Sarah E., Tay, Darwin, Deary, Ian J., Evans, Kathryn L., Robinson, Matthew R., Chambers, John C., Loh, Marie, Cox, Simon R., Marioni, Riccardo E., and Hillary, Robert F.

Published
2025
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16. Ultrafast photo-ion probing of the relaxation dynamics in 2-thiouracil

Author

Robinson, Matthew S., Niebuhr, Mario, and Gühr, Markus

Subjects
Physics - Chemical Physics
Abstract

In this work we investigate the relaxation processes of 2-thiouracil after UV photoexcitation to the S2 state through the use of ultrafast, single-color, pump-probe UV/UV spectroscopy. We place focus on investigating the appearance and subsequent decay signals of ionized fragments. We complement this with VUV-induced disso-ciative photoionization studies collected at a synchrotron, allowing us to better understand and assign the ion-isation channels involved in the appearance of the fragments. We find that all fragments appear when single photons with energy > 11 eV are used in the VUV experiments and hence appear through 3+ photon-order processes when 266 nm light is used the UV/UV experiment. We also observe three major decays for the frag-ment ions: a sub-autocorrelation decay (i.e. sub-370 fs), a secondary ultrafast decay on the order of 300-450 fs, and a long decay on the order of 220 to 400 ps (all fragment dependent). These decays agree well with the previously established S2 -> S1 -> Triplet -> Ground decay process. Results from the VUV study also suggest that some of the fragments may be created by dynamics occurring on the excited cationic state. Keywords: thiouracil; uracil; pump-probe spectroscopy; ultrafast

Published
2022

17. Challenges of military experimentation

Author

Robinson, Matthew T.

Subjects
WAR, FUTURE - Research and Development, WAR AND TECHNOLOGY - Research and Development, RESEARCH AND DEVELOPMENT - Armed Forces - United States
Published
2005

18. Transverse Oscillating Bubble Enhanced Laser-driven Betatron X-ray Radiation Generation

Author

Rakowski, Rafal, Zhang, Ping, Jensen, Kyle, Kettle, Brendan, Kawamoto, Tim, Banerjee, Sudeep, Fruhling, Colton, Golovin, Grigory, Haden, Daniel, Robinson, Matthew S., Umstadter, Donald, Shadwick, B. A., and Fuchs, Matthias

Subjects
Physics - Accelerator Physics, Physics - Plasma Physics
Abstract

Ultrafast high-brightness X-ray pulses have proven invaluable for a broad range of research. Such pulses are typically generated via synchrotron emission from relativistic electron bunches using large-scale facilities. Recently, significantly more compact X-ray sources based on laser-wakefield accelerated (LWFA) electron beams have been demonstrated. In particular, laser-driven sources, where the radiation is generated by transverse oscillations of electrons within the plasma accelerator structure (so-called betatron oscillations) can generate highly-brilliant ultrashort X-ray pulses using a comparably simple setup. Here, we experimentally demonstrate a method to markedly enhance and control the parameters of LWFA-driven betatron X-ray emission. With our novel Transverse Oscillating Bubble Enhanced Betatron Radiation (TOBER) scheme, we show a significant increase in the number of generated photons by specifically manipulating the amplitude of the betatron oscillations. We realize this through an orchestrated evolution of the temporal laser pulse shape and the accelerating plasma structure. This leads to controlled off-axis injection of electrons that perform large-amplitude collective transverse betatron oscillations, resulting in increased radiation emission. Our concept holds the promise for a method to optimize the X-ray parameters for specific applications, such as time-resolved investigations with spatial and temporal atomic resolution or advanced high-resolution imaging modalities, and the generation of X-ray beams with even higher peak and average brightness.

Published
2022

21. Optimal timing of anticoagulation after acute ischaemic stroke with atrial fibrillation (OPTIMAS): a multicentre, blinded-endpoint, phase 4, randomised controlled trial

Author

Jelley, Benjamin, Hughes, Tom, Evans, Mim, Esteban, Diego Garcia, Knibbs, Lucy, Broad, Lauren, Price, Rebecca, Griebel, Liz Hamer, Hewson, Sian, Thavanesan, Kamy, Mallon, Louise, Smith, Anna, White, Miranda, Zhang, Liqun, Clarke, Brian, Abousleiman, Youssif, Binnie, Lauren, Sim, Cai Hua, Castanheira, Margarida, Humphries, Fiona, Obarey, Sabaa, Feerick, Shez, Lee, Yee Chin, Lewis, Alex, Muhammad, Riham, Francia, Nina, Atang, Ndifreke, Banaras, Azra, Marinescu, Marilena, Ferdinand, Philip, Varquez, Resti, Ponce, Ida, Saxena, Surabhi, O'Brien, Eoin, Reyes, Juliana Delos, Mitchell-Douglas, Jennifer, Francis, Jobbin, Banerjee, Soma, Dave, Vaishali, Mashate, Sheila, Patel, Tulsi, Sekaran, Lakshmanan, Murad, Wahid, Asaipillai, Asokanathan, Sakthivel, Sethuraman, Tate, Margaret, Angus, Jane, Reid, Lisa, Fornolles, Caroline, Sundayi, Saul, Poolon, Lincy, Justin, Francis, Hunte, Sophy, Bhandari, Mohit, Kho, Jules, Cvoro, Vera, Parakramawansha, Ruwan, Couser, Mandy, Hughes, Hannah, Naqvi, Aaizza, Harkness, Kirsty, Richards, Emma, Howe, Jo, Kamara, Chris, Gardner, Jon, Bains, Harjit, Teal, Rachel, Joseph, Jeethu, Benjamin, Jithen, Al-Hussayni, Samer, Thomas, George, Robinson, Faye, Dixon, Lynn, Krishnan, Manju, Slade, Peter, Anjum, Tal, Storton, Sharon, Adie, Katja, Northcott, Keren, Morgan, Katie, Williams, Emilie, Chanashekar, Harinath, Maguire, Holly, Gabriel, Claire, Maren, Deborah, David, Hannah, Clarke, Sheron, Nagaratnam, Kiruba, Nelatur, Varun, Mannava, Neelima, Blasco, Lara, Devine, Joseph, Bathula, Rajaram, Gopi, Parvathy, Mehta, Niharika, Sreedevi Raj, Sreena, Teo, James, Sztriha, Laszio, Mah, Yee, Ankolekar, Sandeep, Sari, Beatrix, Tibajai, Maria, Morgan, Alicia, Recaman, Maria, Bayhonan, Samantha, Belo, Caroline, Finch, Sharon, Keenan, Samantha, Bowring, Angie, Shetty, Ashit, Chan, Siang, Gray, Lucy, Harrison, Thomas, Spooner, Oliver, Kinsella-Perks, Edward, Erumere, Esther, Sanders, Brittany, Sims, Don, Willmot, Mark, Littleton, Edward, Spruce, Elaine, Moody, Lisa, Sheriden, Christopher, Luxmore-Brown, Scott, Neal, Aoife, Beddows, Sophie, Tuna, Maria Assuncao, Misra, Amulya, Penn, Ruth, Mariampillai, Sonia, Anwar, Ijaz, Annamalai, Arunkumar, Whitehouse, Sarah, Shepherd, Lorna, Siddle, Elaine, Chatterjee, Kausik, Leason, Sandra, Davies, Angela, Marigold, Richard James, Frank, Sarah, Baird, Alix, Hannam-Penfold, Tomas, Inacio, Liliana, Smith, Simon, Eveson, David, Musarrat, Kashif, Khan, Shagufta, Harris, Tracy, Chowdhury, Muhibbur, Alam, Sajid, Jamieson, Elena, Anyankpele, Ebitare, Al Shalchi, Farah, Rivers, Vanessa, Bell, Stephanie, Francis, Rebecca, Beeby, Deborah, Finch, Jenny, Macleod, Mary Joan, Guzman-Gutierrez, German, Carter, Karla, Irvine, Janice, Gbadamoshi, Lukuman, Costa, Telma, Heirons, Sarah, Stoney, Hayley, Shaw, Louise, Choulerton, James, Catibog, Darwin, Sattar, Naweed, Myint, Min, Smith, Andy, Serac, Kwin, Emsley, Hedley, Sultan, Sulaiman, Gregary, Bindu, Brown, Allan, Mahmood, Afzal, Chattha, Navraj, Old, William, Pegg, Claire, Davey, Miriam, Page, Michelle, Sandhu, Banher, Phiri, Emily, Rashed, Khalid, Wilson, Elisabeth, Hindley, Esther, Board, Sarah, Antony, Sherly, Tanate, Alfonso, Davis, Michelle, Holland, Beth, Slater, Victoria, Fawcett, Michelle, England, Tim, Scott, James, Beavan, Jessica, Hedstrom, Amanda, Karunatilake, Dumin, Gillmain, Kimberley, Singh, Nishy, Hallows, Tracy, Barber, Mark, Yates, Luke, Micallef, Clayton, Esson, Derek, Meng Yu, Wai, Ming New, Benjamin Jaa, Matos, Alexandre, Burt, Clare, Cabrelli, Louise, Wilkie, Gillian, Meegada, Madana, Kirthivasan, Ramanathan, Fox, Caroline, Mead, Victoria, Lyle, Amanda, Saksena, Rajesh, Bakshi, Aashima, O'Kelly, Alison, Rehan, Jahanzeb, Ebueka, Osaretin, Cooper, Martin, Wynter, Inez, Smith, Susan, Kumar, Senthil, O'Brien, Linda, Parker, Cerrys, Parker, Emma, Khan, Numan, Patterson, Christopher, Maguire, Stuart, Quinn, Outi, Bellfield, Ruth, Behnam, Yousif, Costa, Janet, Padilla-Harris, Cheryl, Moram, Louise, Raza, Syed Abid, Tench, Helen, Sims, Tanya, McGuinness, Heather, Loosley, Ronda, Wolf-Roberts, Rebecca, Buddha, Sandeep, Salt, Irmak, Lewis, Kerry, Mavinamne, Sunanda, Ditchfield, Coleen, Dealing, Sharon, Shah, Alexander, Crossingham, Ginette, Mwadeyi, Memory, Kenton, Anthony, Omoregie, Faith, Abubakar, Saidu, Warwick, Allison, Hector, Gemma, Hassan, Ahamad, Veraque, Emelda, Farman, Michelle, Makawa, Linetty, Byrne, Anthony, Kirkham, Jackie, Blayney, Gareth, Selwyn, Jey, Kakar, Puneet, Al Khaddour, Mohammed, Dhami, Reena, Baker, Emelda, Esisi, Bernard, Clarkson, Emma, Fellowes, Dominic, Kresmir, Jergovic, Guyler, Paul, Ngo, David, Wijenayake, Indunil, Tysoe, Sharon, Galliford, Joanne, Harman, Paula, Garside, Mark, Badanahatti, Madhava, Riddell, Victoria, Gramizadeh, Gita, Dutta, Dipankar, Bajoriene, Milda, Erdogan, Hulya, Ward, Deborah, Doubal, Fergus, Samarasekera, Neshika, Risbridger, Sarah, MacRaild, Allan, Azim, Abul, Wood, Lisa, Tampset, Ruth, Shekhar, Raj, Rai, Umesh, Fuller, Tracy, Joshy, Aricsa, Nadar, Evelyn, Kini, Manohar, Ahmad, Syed, Robinson, Matthew, King, Lucia, Srinivasan, Venkatesan, Karwacka-Cichomska, Magdalena, Moore, Vicki, Smith, Kate, Kariyadil, Bincy, Kong, Kelvin, Hubbard, Kelly, Arif, Sarwat, Hasan, Muhammad, Temple, Natalie, Arcoria, Daniele, Horne, Zoey, Soe, Thandar, Wyllie, Hilary, Hacon, Christian, Sutherland, Helen, Menezes, Brian, Johnson, Venetia, Smyth, Nigel, Mehdi, Zehra, Tone, Ela, Bradley, Arian, Levell, Emma, Ekkert, Aleksandra, Mazzucco, Sara, McCafferty, Laura, Vonoven, Linda, Dewan, Suprita, Sridhar, Pagadala, Thomas, Jayne, Coetzee, Samantha, Icke, Becky, Williams, Jill, Saravanan, Narayanamoorthi, Bradley, Pamela, Gibson, Rebecca Marie, Antony, Jijimol, Ashraf, Imran, Mabuti, Jose, Kamundi, Charlotte, Patiola, Prasanna, Oakley, Naomi, Proeschel, Harold, Kelly, Debs, Longley, Wendy, Cave, Ashleigh, Ambrico, Carla, Black, Toby, Porretta, Elisa, Anthony, Alpha, Ragab, Suzanne, Dube, Judith, Kausar, Shahid, Gujjar, Abdullah, Abdullah, Mohammad, Kaur, Daljit, Gadapa, Naveen, Choudhary, Sumita, Nisar, Nabeela, Fawehinmi, Grace, Dunne, Karen, King, Sam, Kishore, Amit, Lee, Stephanie, Marsden, Tracy, Slaughter, Melanie, Cawley, Kathryn, Perez, Jane, Anderton, Peter, Soussi, Salem, Walstow, Deborah, Pugh, Rebecca, Manoj, Aravind, Fletcher, Glynn, Lopez, Paula, McCormick, Michael, Magee, Michael, Tallon, Grainne, McFarland, Denise, Cosgrove, Denise, Shinh, Naval, Metcalf, Kneale, Kostyuk, Alina, McDonald, Susan, Sayers, Sophie, Sayed, Walee, Abraham, Sam, Szabo, Gemma, Crosbie, Gareth, McIlmoyle, Jim, Fearon, Patricia, Courtney, Kerry, Tauro, Suzanne, Singh, Arun, Nair, Anand, Duberley, Stephen, Philip, Sheeba, Curley, Cath, Goddard, Wendy, Bridge, Luke, Willcoxson, Paul, Wanklyn, Peter, Owen, Jennifer, France, John, Reed, Bryony, Foulds, Angie, Richard, Bella, Parfitt, Louise, Affley, Brendan, Russo, Cristina, Dsouza, Margaret, Cruddas, Elizabeth, Hargroves, David, Rand, James, Shekar, Som, Bhat, Yaqoob, Marshall, Gail, Nash, Maxine, Ahmad, Nasar, Okoko, Blessing Oduh, Evans, Rachel, Taylor, Tegan, Dawson, Jesse, Colquhoun, Elizabeth, James, Christopher, Aguirre, Carlos, MacPhee, Catherine, Phipps, Janet, Ispoglou, Sissi, Hayes, Anne, Werring, David J, Dehbi, Hakim-Moulay, Ahmed, Norin, Arram, Liz, Best, Jonathan G, Balogun, Maryam, Bennett, Kate, Bordea, Ekaterina, Caverly, Emilia, Chau, Marisa, Cohen, Hannah, Cullen, Mairead, Doré, Caroline J, Engelter, Stefan T, Fenner, Robert, Ford, Gary A, Gill, Aneet, Hunter, Rachael, James, Martin, Jayanthi, Archana, Lip, Gregory Y H, Massingham, Sue, Murray, Macey L, Mazurczak, Iwona, Nash, Philip S, Ndoutoumou, Amalia, Norrving, Bo, Sims, Hannah, Sprigg, Nikola, Vanniyasingam, Tishok, and Freemantle, Nick

Published
2024
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22. Stratified analyses refine association between TLR7 rare variants and severe COVID-19

Author

Rimoldi, Valeria, Paraboschi, Elvezia M., Bandera, Alessandra, Peyvandi, Flora, Grasselli, Giacomo, Blasi, Francesco, Malvestiti, Francesco, Pelusi, Serena, Bianco, Cristiana, Miano, Lorenzo, Lombardi, Angela, Invernizzi, Pietro, Gerussi, Alessio, Citerio, Giuseppe, Biondi, Andrea, Valsecchi, Maria Grazia, Cazzaniga, Marina Elena, Foti, Giuseppe, Beretta, Ilaria, D'Angiò, Mariella, Bettini, Laura Rachele, Farré, Xavier, Iraola-Guzmán, Susana, Kogevinas, Manolis, Castaño-Vinyals, Gemma, Garcia-Etxebarria, Koldo, Nafria, Beatriz, D'Amato, Mauro, Palom, Adriana, Begg, Colin, Clohisey, Sara, Hinds, Charles, Horby, Peter, Knight, Julian, Ling, Lowell, Maslove, David, McAuley, Danny, Millar, Johnny, Montgomery, Hugh, Nichol, Alistair, Openshaw, Peter J.M., Pereira, Alexandre C., Ponting, Chris P., Rowan, Kathy, Semple, Malcolm G., Shankar-Hari, Manu, Summers, Charlotte, Walsh, Timothy, Baillie, J. Kenneth, Aravindan, Latha, Armstrong, Ruth, Biggs, Heather, Boz, Ceilia, Brown, Adam, Clark, Richard, Coutts, Audrey, Coyle, Judy, Cullum, Louise, Das, Sukamal, Day, Nicky, Donnelly, Lorna, Duncan, Esther, Fawkes, Angie, Fineran, Paul, Fourman, Max Head, Furlong, Anita, Furniss, James, Gallagher, Bernadette, Gilchrist, Tammy, Golightly, Ailsa, Griffiths, Fiona, Hafezi, Katarzyna, Hamilton, Debbie, Hendry, Ross, Law, Andy, Law, Dawn, Law, Rachel, Law, Sarah, Lidstone-Scott, Rebecca, Macgillivray, Louise, Maclean, Alan, Mal, Hanning, McCafferty, Sarah, Mcmaster, Ellie, Meikle, Jen, Moore, Shona C., Morrice, Kirstie, Murphy, Lee, Murphy, Sheena, Hellen, Mybaya, Oosthuyzen, Wilna, Zheng, Chenqing, Chen, Jiantao, Parkinson, Nick, Paterson, Trevor, Schon, Katherine, Stenhouse, Andrew, Das, Mihaela, Swets, Maaike, Szoor-McElhinney, Helen, Taneski, Filip, Turtle, Lance, Wackett, Tony, Ward, Mairi, Weaver, Jane, Wrobel, Nicola, Zechner, Marie, Arbane, Gill, Bociek, Aneta, Campos, Sara, Grau, Neus, Jones, Tim Owen, Lim, Rosario, Marotti, Martina, Ostermann, Marlies, Whitton, Christopher, Alldis, Zoe, Astin-Chamberlain, Raine, Bibi, Fatima, Biddle, Jack, Blow, Sarah, Bolton, Matthew, Borra, Catherine, Bowles, Ruth, Burton, Maudrian, Choudhury, Yasmin, Collier, David, Cox, Amber, Easthope, Amy, Ebano, Patrizia, Fotiadis, Stavros, Gurasashvili, Jana, Halls, Rosslyn, Hartridge, Pippa, Kallon, Delordson, Kassam, Jamila, Lancoma-Malcolm, Ivone, Matharu, Maninderpal, May, Peter, Mitchelmore, Oliver, Newman, Tabitha, Patel, Mital, Pheby, Jane, Pinzuti, Irene, Prime, Zoe, Prysyazhna, Oleksandra, Shiel, Julian, Taylor, Melanie, Tierney, Carey, Wood, Suzanne, Zak, Anne, Zongo, Olivier, Bonner, Stephen, Hugill, Keith, Jones, Jessica, Liggett, Steven, Headlam, Evie, Bandla, Nageswar, Gellamucho, Minnie, Davies, Michelle, Thompson, Christopher, Abdelrazik, Marwa, Bakthavatsalam, Dhanalakshmi, Elhassan, Munzir, Ganesan, Arunkumar, Haldeos, Anne, Moreno-Cuesta, Jeronimo, Purohit, Dharam, Vincent, Rachel, Xavier, Kugan, Rohit, Kumar, Alasdair, Frater, Saleem, Malik, David, Carter, Samuel, Jenkins, Lamond, Zoe, Alanna, Wall, Fernandez-Roman, Jaime, Hamilton, David O., Johnson, Emily, Johnston, Brian, Martinez, Maria Lopez, Mulla, Suleman, Shaw, David, Waite, Alicia A.C., Waugh, Victoria, Welters, Ingeborg D., Williams, Karen, Cavazza, Anna, Cockrell, Maeve, Corcoran, Eleanor, Depante, Maria, Finney, Clare, Jerome, Ellen, McPhail, Mark, Nayak, Monalisa, Noble, Harriet, O'Reilly, Kevin, Pappa, Evita, Saha, Rohit, Saha, Sian, Smith, John, Knighton, Abigail, Antcliffe, David, Banach, Dorota, Brett, Stephen, Coghlan, Phoebe, Fernandez, Ziortza, Gordon, Anthony, Rojo, Roceld, Arias, Sonia Sousa, Templeton, Maie, Meredith, Megan, Morris, Lucy, Ryan, Lucy, Clark, Amy, Sampson, Julia, Peters, Cecilia, Dent, Martin, Langley, Margaret, Ashraf, Saima, Wei, Shuying, Andrew, Angela, Bashyal, Archana, Davidson, Neil, Hutton, Paula, McKechnie, Stuart, Wilson, Jean, Baptista, David, Crowe, Rebecca, Fernandes, Rita, Herdman-Grant, Rosaleen, Joseph, Anna, O'Connor, Denise, Allen, Meryem, Loveridge, Adam, McKenley, India, Morino, Eriko, Naranjo, Andres, Simms, Richard, Sollesta, Kathryn, Swain, Andrew, Venkatesh, Harish, Khera, Jacyntha, Fox, Jonathan, Andrew, Gillian, Barclay, Lucy, Callaghan, Marie, Campbell, Rachael, Clark, Sarah, Hope, Dave, Marshall, Lucy, McCulloch, Corrienne, Briton, Kate, Singleton, Jo, Birch, Sohphie, Brimfield, Lutece, Daly, Zoe, Pogson, David, Rose, Steve, Battle, Ceri, Brinkworth, Elaine, Harford, Rachel, Murphy, Carl, Newey, Luke, Rees, Tabitha, Williams, Marie, Arnold, Sophie, Polgarova, Petra, Stroud, Katerina, Meaney, Eoghan, Jones, Megan, Ng, Anthony, Agrawal, Shruti, Pathan, Nazima, White, Deborah, Daubney, Esther, Elston, Kay, Grauslyte, Lina, Hussain, Musarat, Phull, Mandeep, Pogreban, Tatiana, Rosaroso, Lace, Salciute, Erika, Franke, George, Wong, Joanna, George, Aparna, Ortiz-Ruiz de Gordoa, Laura, Peasgood, Emily, Phillips, Claire, Bates, Michelle, Dasgin, Jo, Gill, Jaspret, Nilsson, Annette, Scriven, James, Delgado, Carlos Castro, Dawson, Deborah, Ding, Lijun, Durrant, Georgia, Ezeobu, Obiageri, Farnell-Ward, Sarah, Harrison, Abiola, Kanu, Rebecca, Leaver, Susannah, Maccacari, Elena, Manna, Soumendu, Saluzzio, Romina Pepermans, Queiroz, Joana, Samakomva, Tinashe, Sicat, Christine, Texeira, Joana, Da Gloria, Edna Fernandes, Lisboa, Ana, Rawlins, John, Mathew, Jisha, Kinch, Ashley, Hurt, William James, Shah, Nirav, Clark, Victoria, Thanasi, Maria, Yun, Nikki, Patel, Kamal, Bennett, Sara, Goodwin, Emma, Jackson, Matthew, Kent, Alissa, Tibke, Clare, Woodyatt, Wiesia, Zaki, Ahmed, Abraheem, Azmerelda, Bamford, Peter, Cawley, Kathryn, Dunmore, Charlie, Faulkner, Maria, Girach, Rumanah, Jeffrey, Helen, Jones, Rhianna, London, Emily, Nagra, Imrun, Nasir, Farah, Sainsbury, Hannah, Smedley, Clare, Patel, Tahera, Smith, Matthew, Chukkambotla, Srikanth, Kazi, Aayesha, Hartley, Janice, Dykes, Joseph, Hijazi, Muhammad, Keith, Sarah, Khan, Meherunnisa, Ryan-Smith, Janet, Springle, Philippa, Thomas, Jacqueline, Truman, Nick, Saad, Samuel, Coleman, Dabheoc, Fine, Christopher, Matt, Roseanna, Gay, Bethan, Dalziel, Jack, Ali, Syamlan, Goodchild, Drew, Harling, Rhiannan, Bhatterjee, Ravi, Goddard, Wendy, Davison, Chloe, Duberly, Stephen, Hargreaves, Jeanette, Bolton, Rachel, Davey, Miriam, Golden, David, Seaman, Rebecca, Cherian, Shiney, Cutler, Sean, Heron, Anne Emma, Roynon-Reed, Anna, Szakmany, Tamas, Williams, Gemma, Richards, Owen, Cheema, Yusuf, Brooke, Hollie, Buckley, Sarah, Suarez, Jose Cebrian, Charlesworth, Ruth, Hansson, Karen, Norris, John, Poole, Alice, Rose, Alastair, Sandhu, Rajdeep, Sloan, Brendan, Smithson, Elizabeth, Thirumaran, Muthu, Wagstaff, Veronica, Metcalfe, Alexandra, Brunton, Mark, Caterson, Jess, Coles, Holly, Frise, Matthew, Rai, Sabi Gurung, Jacques, Nicola, Keating, Liza, Tilney, Emma, Bartley, Shauna, Bhuie, Parminder, Gibson, Sian, Lyle, Amanda, McNeela, Fiona, Radhakrishnan, Jayachandran, Hughes, Alistair, Yates, Bryan, Reynolds, Jessica, Campbell, Helen, Thompsom, Maria, Dodds, Steve, Duffy, Stacey, Greer, Sandra, Shuker, Karen, Tridente, Ascanio, Khade, Reena, Sundar, Ashok, Tsinaslanidis, George, Birkinshaw, Isobel, Carter, Joseph, Howard, Kate, Ingham, Joanne, Joy, Rosie, Pearson, Harriet, Roche, Samantha, Scott, Zoe, Bancroft, Hollie, Bellamy, Mary, Carmody, Margaret, Daglish, Jacqueline, Moore, Faye, Rhodes, Joanne, Sangombe, Mirriam, Kadiri, Salma, Croft, Maria, White, Ian, Frost, Victoria, Aquino, Maia, Jha, Rajeev, Krishnamurthy, Vinodh, Lim, Lai, Lim, Li, Combes, Edward, Joefield, Teishel, Monnery, Sonja, Beech, Valerie, Trotman, Sallyanne, Almaden-Boyle, Christine, Austin, Pauline, Cabrelli, Louise, Cole, Stephen, Casey, Matt, Chapman, Susan, Whyte, Clare, Baird, Yolanda, Butler, Aaron, Chadbourn, Indra, Folkes, Linda, Fox, Heather, Gardner, Amy, Gomez, Raquel, Hobden, Gillian, Hodgson, Luke, King, Kirsten, Margarson, Michael, Martindale, Tim, Meadows, Emma, Raynard, Dana, Thirlwall, Yvette, Helm, David, Margalef, Jordi, Criste, Kristine, Cusack, Rebecca, Golder, Kim, Golding, Hannah, Jones, Oliver, Leggett, Samantha, Male, Michelle, Marani, Martyna, Prager, Kirsty, Williams, Toran, Roberts, Belinda, Salmon, Karen, Anderson, Peter, Archer, Katie, Austin, Karen, Davis, Caroline, Durie, Alison, Kelsall, Olivia, Thrush, Jessica, Vigurs, Charlie, Wild, Laura, Wood, Hannah-Louise, Tranter, Helen, Harrison, Alison, Cowley, Nicholas, McAlindon, Michael, Burtenshaw, Andrew, Digby, Stephen, Low, Emma, Morgan, Aled, Cother, Naiara, Rankin, Tobias, Clayton, Sarah, McCurdy, Alex, Ahmed, Cecilia, Baines, Balvinder, Clamp, Sarah, Colley, Julie, Haq, Risna, Hayes, Anne, Hulme, Jonathan, Hussain, Samia, Joseph, Sibet, Kumar, Rita, Maqsood, Zahira, Purewal, Manjit, Benham, Leonie, Bradshaw, Zena, Brown, Joanna, Caswell, Melanie, Cupitt, Jason, Melling, Sarah, Preston, Stephen, Slawson, Nicola, Stoddard, Emma, Warden, Scott, Deacon, Bethan, Lynch, Ceri, Pothecary, Carla, Roche, Lisa, Howe, Gwenllian Sera, Singh, Jayaprakash, Turner, Keri, Ellis, Hannah, Stroud, Natalie, Hunt, Jodie, Dearden, Joy, Dobson, Emma, Drummond, Andy, Mulcahy, Michelle, Munt, Sheila, O'Connor, Grainne, Philbin, Jennifer, Rishton, Chloe, Tully, Redmond, Winnard, Sarah, Cathcart, Susanne, Duffy, Katharine, Puxty, Alex, Puxty, Kathryn, Turner, Lynne, Ireland, Jane, Semple, Gary, Long, Kate, Whiteley, Simon, Wilby, Elizabeth, Ogg, Bethan, Cowton, Amanda, Kay, Andrea, Kent, Melanie, Potts, Kathryn, Wilkinson, Ami, Campbell, Suzanne, Brown, Ellen, Melville, Julie, Naisbitt, Jay, Joseph, Rosane, Lazo, Maria, Walton, Olivia, Neal, Alan, Alexander, Peter, Allen, Schvearn, Bradley-Potts, Joanne, Brantwood, Craig, Egan, Jasmine, Felton, Timothy, Padden, Grace, Ward, Luke, Moss, Stuart, Glasgow, Susannah, Abel, Lynn, Brett, Michael, Digby, Brian, Gemmell, Lisa, Hornsby, James, MacGoey, Patrick, O'Neil, Pauline, Price, Richard, Rodden, Natalie, Rooney, Kevin, Sundaram, Radha, Thomson, Nicola, Hopkins, Bridget, Thrasyvoulou, Laura, Willis, Heather, Clark, Martyn, Coulding, Martina, Jude, Edward, McCormick, Jacqueline, Mercer, Oliver, Potla, Darsh, Rehman, Hafiz, Savill, Heather, Turner, Victoria, Downes, Charlotte, Holding, Kathleen, Riches, Katie, Hilton, Mary, Hayman, Mel, Subramanian, Deepak, Daniel, Priya, Adanini, Oluronke, Bhatia, Nikhil, Msiska, Maines, Collins, Rebecca, Clement, Ian, Patel, Bijal, Gulati, A., Hays, Carole, Webster, K., Hudson, Anne, Webster, Andrea, Stephenson, Elaine, McCormack, Louise, Slater, Victoria, Nixon, Rachel, Hanson, Helen, Fearby, Maggie, Kelly, Sinead, Bridgett, Victoria, Robinson, Philip, Camsooksai, Julie, Humphrey, Charlotte, Jenkins, Sarah, Reschreiter, Henrik, Wadams, Beverley, Death, Yasmin, Bastion, Victoria, Clarke, Daphene, David, Beena, Kent, Harriet, Lorusso, Rachel, Lubimbi, Gamu, Murdoch, Sophie, Penacerrada, Melchizedek, Thomas, Alastair, Valentine, Jennifer, Vochin, Ana, Wulandari, Retno, Djeugam, Brice, Bell, Gillian, English, Katy, Katary, Amro, Wilcox, Louise, Bruce, Michelle, Connolly, Karen, Duncan, Tracy, T-Michael, Helen, Lindergard, Gabriella, Hey, Samuel, Fox, Claire, Alfonso, Jordan, Durrans, Laura Jayne, Guerin, Jacinta, Blackledge, Bethan, Harris, Jade, Hruska, Martin, Eltayeb, Ayaa, Lamb, Thomas, Hodgkiss, Tracey, Cooper, Lisa, Rothwell, Joanne, Allan, Angela, Anderson, Felicity, Kaye, Callum, Liew, Jade, Medhora, Jasmine, Scott, Teresa, Trumper, Erin, Botello, Adriana, Lankester, Liana, Nikitas, Nikitas, Wells, Colin, Stowe, Bethan, Spencer, Kayleigh, Brandwood, Craig, Smith, Lara, Birchall, Katie, Kolakaluri, Laurel, Baines, Deborah, Sukumaran, Anila, Apetri, Elena, Basikolo, Cathrine, Catlow, Laura, Charles, Bethan, Dark, Paul, Doonan, Reece, Harvey, Alice, Horner, Daniel, Knowles, Karen, Lee, Stephanie, Lomas, Diane, Lyons, Chloe, Marsden, Tracy, McLaughlan, Danielle, McMorrow, Liam, Pendlebury, Jessica, Perez, Jane, Poulaka, Maria, Proudfoot, Nicola, Slaughter, Melanie, Slevin, Kathryn, Thomas, Vicky, Walker, Danielle, Michael, Angiy, Collis, Matthew, Cosier, Tracey, Millen, Gemma, Richardson, Neil, Schumacher, Natasha, Weston, Heather, Rand, James, Baxter, Nicola, Henderson, Steven, Kennedy-Hay, Sophie, McParland, Christopher, Rooney, Laura, Sim, Malcolm, McCreath, Gordan, Akeroyd, Louise, Bano, Shereen, Bromley, Matt, Gurr, Lucy, Lawton, Tom, Morgan, James, Sellick, Kirsten, Warren, Deborah, Wilkinson, Brian, McGowan, Janet, Ledgard, Camilla, Stacey, Amelia, Pye, Kate, Bellwood, Ruth, Bentley, Michael, Bewley, Jeremy, Garland, Zoe, Grimmer, Lisa, Gumbrill, Bethany, Johnson, Rebekah, Sweet, Katie, Webster, Denise, Efford, Georgia, Convery, Karen, Fottrell-Gould, Deirdre, Hudig, Lisa, Keshet-Price, Jocelyn, Randell, Georgina, Stammers, Katie, Bokhari, Maria, Linnett, Vanessa, Lucas, Rachael, McCormick, Wendy, Ritzema, Jenny, Sanderson, Amanda, Wild, Helen, Rostron, Anthony, Roy, Alistair, Woods, Lindsey, Cornell, Sarah, Wakinshaw, Fiona, Rogerson, Kimberley, Jarmain, Jordan, Parker, Robert, Reddy, Amie, Turner-Bone, Ian, Wilding, Laura, Harding, Peter, Abernathy, Caroline, Foster, Louise, Gratrix, Andrew, Martinson, Vicky, Parkinson, Priyai, Stones, Elizabeth, Carbral-Ortega, Llucia, Bercades, Georgia, Brealey, David, Hass, Ingrid, MacCallum, Niall, Martir, Gladys, Raith, Eamon, Reyes, Anna, Smyth, Deborah, Zitter, Letizia, Benyon, Sarah, Marriott, Suzie, Park, Linda, Keenan, Samantha, Gordon, Elizabeth, Quinn, Helen, Baines, Kizzy, Cagova, Lenka, Fofano, Adama, Garner, Lucie, Holcombe, Helen, Mepham, Sue, Mitchell, Alice Michael, Mwaura, Lucy, Praman, Krithivasan, Vuylsteke, Alain, Zamikula, Julie, Purewal, Bally, Rivers, Vanessa, Bell, Stephanie, Blakemore, Hayley, Borislavova, Borislava, Faulkner, Beverley, Gendall, Emma, Goff, Elizabeth, Hayes, Kati, Thomas, Matt, Worner, Ruth, Smith, Kerry, Stephens, Deanna, Mew, Louise, Mwaura, Esther, Stewart, Richard, Williams, Felicity, Wren, Lynn, Sutherland, Sara-Beth, Bevan, Emily, Martin, Jane, Trodd, Dawn, Watson, Geoff, Brown, Caroline Wrey, Collins, Amy, Khaliq, Waqas, Gude, Estefania Treus, Akinkugbe, Olugbenga, Bamford, Alasdair, Beech, Emily, Belfield, Holly, Bell, Michael, Davies, Charlene, Jones, Gareth A.L., McHugh, Tara, Meghari, Hamza, O'Neill, Lauran, Peters, Mark J., Ray, Samiran, Tomas, Ana Luisa, Burn, Iona, Hambrook, Geraldine, Manso, Katarina, Penn, Ruth, Shanmugasundaram, Pradeep, Tebbutt, Julie, Thornton, Danielle, Cole, Jade, Davies, Rhys, Duffin, Donna, Hill, Helen, Player, Ben, Thomas, Emma, Williams, Angharad, Griffin, Denise, Muchenje, Nycola, Mupudzi, Mcdonald, Partridge, Richard, Conyngham, Jo-Anna, Thomas, Rachel, Wright, Mary, Corral, Maria Alvarez, Jacob, Reni, Jones, Cathy, Denmade, Craig, Beavis, Sarah, Dale, Katie, Gascoyne, Rachel, Hawes, Joanne, Pritchard, Kelly, Stevenson, Lesley, Whileman, Amanda, Doble, Patricia, Hutter, Joanne, Pawley, Corinne, Shovelton, Charmaine, Vaida, Marius, Butcher, Deborah, O'Sullivan, Susie, Butterworth-Cowin, Nicola, Ahmad, Norfaizan, Barker, Joann, Bauchmuller, Kris, Bird, Sarah, Cawthron, Kay, Harrington, Kate, Jackson, Yvonne, Kibutu, Faith, Lenagh, Becky, Masuko, Shamiso, Mills, Gary H., Raithatha, Ajay, Wiles, Matthew, Willson, Jayne, Newell, Helen, Lye, Alison, Nwafor, Lorenza, Jarman, Claire, Rowland-Jones, Sarah, Foote, David, Cole, Joby, Thompson, Roger, Watson, James, Hesseldon, Lisa, Macharia, Irene, Chetam, Luke, Smith, Jacqui, Ford, Amber, Anderson, Samantha, Birchall, Kathryn, Housley, Kay, Walker, Sara, Milner, Leanne, Hanratty, Helena, Trower, Helen, Phillips, Patrick, Oxspring, Simon, Donne, Ben, Jardine, Catherine, Williams, Dewi, Hay, Alasdair, Flanagan, Rebecca, Hughes, Gareth, Latham, Scott, McKenna, Emma, Anderson, Jennifer, Hull, Robert, Rhead, Kat, Cruz, Carina, Pattison, Natalie, Charnock, Rob, McFarland, Denise, Cosgrove, Denise, Ahmed, Ashar, Morris, Anna, Jakkula, Srinivas, Ali, Asifa, Brady, Megan, Dale, Sam, Dance, Annalisa, Gledhill, Lisa, Greig, Jill, Hanson, Kathryn, Holdroyd, Kelly, Home, Marie, Kelly, Diane, Kitson, Ross, Matapure, Lear, Melia, Deborah, Mellor, Samantha, Nortcliffe, Tonicha, Pinnell, Jez, Robinson, Matthew, Shaw, Lisa, Shaw, Ryan, Thomis, Lesley, Wilson, Alison, Wood, Tracy, Bayo, Lee-Ann, Merwaha, Ekta, Ishaq, Tahira, Hanley, Sarah, Hibbert, Meg, Tetla, Dariusz, Woodford, Chrsitopher, Durga, Latha, Kennard-Holden, Gareth, Branney, Debbie, Frankham, Jordan, Pitts, Sally, White, Nigel, Laha, Shondipon, Verlander, Mark, Williams, Alexandra, Altabaibeh, Abdelhakim, Alvaro, Ana, Gilbert, Kayleigh, Ma, Louise, Mostoles, Loreta, Parmar, Chetan, Simpson, Kathryn, Jetha, Champa, Booker, Lauren, Pratley, Anezka, Adams, Colene, Agasou, Anita, Arden, Tracie, Bowes, Amy, Boyle, Pauline, Beekes, Mandy, Button, Heather, Capps, Nigel, Carnahan, Mandy, Carter, Anne, Childs, Danielle, Donaldson, Denise, Hard, Kelly, Hurford, Fran, Hussain, Yasmin, Javaid, Ayesha, Jones, James, Jose, Sanal, Leigh, Michael, Martin, Terry, Millward, Helen, Motherwell, Nichola, Rikunenko, Rachel, Stickley, Jo, Summers, Julie, Ting, Louise, Tivenan, Helen, Tonks, Louise, Wilcox, Rebecca, Holland, Maureen, Keenan, Natalie, Lyons, Marc, Wassall, Helen, Marsh, Chris, Mahenthran, Mervin, Carter, Emma, Kong, Thomas, Blackman, Helen, Creagh-Brown, Ben, Donlon, Sinead, Michalak-Glinska, Natalia, Mtuwa, Sheila, Pristopan, Veronika, Salberg, Armorel, Smith, Eleanor, Stone, Sarah, Piercy, Charles, Verula, Jerik, Burda, Dorota, Montaser, Rugia, Harden, Lesley, Mayangao, Irving, Marriott, Cheryl, Bradley, Paul, Harris, Celia, Anderson, Susan, Andrews, Eleanor, Birch, Janine, Collins, Emma, Hammerton, Kate, O'Leary, Ryan, Clark, Michele, Purvis, Sarah, Barber, Russell, Hewitt, Claire, Hilldrith, Annette, Jackson-Lawrence, Karen, Shepardson, Sarah, Wills, Maryanne, Butler, Susan, Tavares, Silvia, Cunningham, Amy, Hindale, Julia, Arif, Sarwat, Bean, Sarah, Burt, Karen, Spivey, Michael, Demetriou, Carrie, Eckbad, Charlotte, Hierons, Sarah, Howie, Lucy, Mitchard, Sarah, Ramos, Lidia, Serrano-Ruiz, Alfredo, White, Katie, Kelly, Fiona, Cristiano, Daniele, Dormand, Natalie, Farzad, Zohreh, Gummadi, Mahitha, Liyanage, Kamal, Patel, Brijesh, Salmi, Sara, Sloane, Geraldine, Thwaites, Vicky, Varghese, Mathew, Zborowski, Anelise C., Allan, John, Geary, Tim, Houston, Gordon, Meikle, Alistair, O'Brien, Peter, Forsey, Miranda, Kaliappan, Agilan, Nicholson, Anne, Riches, Joanne, Vertue, Mark, Allan, Elizabeth, Darlington, Kate, Davies, Ffyon, Easton, Jack, Kumar, Sumit, Lean, Richard, Menzies, Daniel, Pugh, Richard, Qiu, Xinyi, Davies, Llinos, Williams, Hannah, Scanlon, Jeremy, Davies, Gwyneth, Mackay, Callum, Lewis, Joannne, Rees, Stephanie, Oblak, Metod, Popescu, Monica, Thankachen, Mini, Higham, Andrew, Simpson, Kerry, Craig, Jayne, Baruah, Rosie, Morris, Sheila, Ferguson, Susie, Shepherd, Amy, Prockter Moore, Luke Stephen, Vizcaychipi, Marcela Paola, Gomes de Almeida Martins, Laura, Carungcong, Jaime, Mohamed Ali, Inthakab Ali, Beaumont, Karen, Blunt, Mark, Coton, Zoe, Curgenven, Hollie, Elsaadany, Mohamed, Fernandes, Kay, Ally, Sameena Mohamed, Rangarajan, Harini, Sarathy, Varun, Selvanayagam, Sivarupan, Vedage, Dave, White, Matthew, Gill, Mandy, Paul, Paul, Ratnam, Valli, Shelton, Sarah, Wynter, Inez, Carmody, Siobhain, Page, Valerie Joan, Beith, Claire Marie, Black, Karen, Clements, Suzanne, Morrison, Alan, Strachan, Dominic, Taylor, Margaret, Clarkson, Michelle, D'Sylva, Stuart, Norman, Kathryn, Auld, Fiona, Donnachie, Joanne, Edmond, Ian, Prentice, Lynn, Runciman, Nikole, Salutous, Dario, Symon, Lesley, Todd, Anne, Turner, Patricia, Short, Abigail, Sweeney, Laura, Murdoch, Euan, Senaratne, Dhaneesha, Hill, Michaela, Kannan, Thogulava, Laura, Wild, Crawley, Rikki, Crew, Abigail, Cunningham, Mishell, Daniels, Allison, Harrison, Laura, Hope, Susan, Inweregbu, Ken, Jones, Sian, Lancaster, Nicola, Matthews, Jamie, Nicholson, Alice, Wray, Gemma, Langton, Helen, Prout, Rachel, Watters, Malcolm, Novis, Catherine, Barron, Anthony, Collins, Ciara, Kaul, Sundeep, Passmore, Heather, Prendergast, Claire, Reed, Anna, Rogers, Paula, Shokkar, Rajvinder, Woodruff, Meriel, Middleton, Hayley, Polgar, Oliver, Nolan, Claire, Mahay, Kanta, Collier, Dawn, Hormis, Anil, Maynard, Victoria, Graham, Cheryl, Walker, Rachel, Knights, Ellen, Price, Alicia, Thomas, Alice, Thorpe, Chris, Behan, Teresa, Burnett, Caroline, Hatton, Jonathan, Heeney, Elaine, Mitra, Atideb, Newton, Maria, Pollard, Rachel, Stead, Rachael, Amin, Vishal, Anastasescu, Elena, Anumakonda, Vikram, Karthik, Komala, Kausar, Rizwana, Reid, Karen, Smith, Jacqueline, Imeson-Wood, Janet, Skinner, Denise, Gaylard, Jane, Mullan, Dee, Newman, Julie, Brown, Alison, Crickmore, Vikki, Debreceni, Gabor, Wilkins, Joy, Nicol, Liz, Reece-Anthony, Rosie, Birt, Mark, Ghosh, Alison, Williams, Emma, Allen, Louise, Beranova, Eva, Crisp, Nikki, Deery, Joanne, Hazelton, Tracy, Knight, Alicia, Price, Carly, Tilbey, Sorrell, Turki, Salah, Turney, Sharon, Cooper, Joshua, Finch, Cheryl, Liderth, Sarah, Quinn, Alison, Waddington, Natalia, Coventry, Tina, Fowler, Susan, MacMahon, Michael, McGregor, Amanda, Cowley, Anne, Highgate, Judith, Gregory, Jane, O'Connell, Susan, Smith, Tim, Barberis, Luigi, Gopal, Shameer, Harris, Nichola, Lake, Victoria, Metherell, Stella, Radford, Elizabeth, Daniel, Amelia, Finn, Joanne, Saha, Rajnish, White, Nikki, Donnison, Phil, Trim, Fiona, Eapen, Beena, Birch, Jenny, Bough, Laura, Goodsell, Josie, Tutton, Rebecca, Williams, Patricia, Williams, Sarah, Winter-Goodwin, Barbara, Nichol, Ailstair, Brickell, Kathy, Smyth, Michelle, Murphy, Lorna, Coetzee, Samantha, Gales, Alistair, Otahal, Igor, Raj, Meena, Sell, Craig, Hilltout, Paula, Evitts, Jayne, Tyler, Amanda, Waldron, Joanne, Beesley, Kate, Board, Sarah, Kubisz-Pudelko, Agnieszka, Lewis, Alison, Perry, Jess, Pippard, Lucy, Wood, Di, Buckley, Clare, Barry, Peter, Flint, Neil, Rekha, Patel, Hales, Dawn, Bunni, Lara, Jennings, Claire, Latif, Monica, Marshall, Rebecca, Subramanian, Gayathri, McGuigan, Peter J., Wasson, Christopher, Finn, Stephanie, Green, Jackie, Collins, Erin, King, Bernadette, Campbell, Andy, Smuts, Sara, Duffield, Joseph, Smith, Oliver, Mallon, Lewis, Claire, Watkins, Botfield, Liam, Butler, Joanna, Dexter, Catherine, Fletcher, Jo, Garg, Atul, Kuravi, Aditya, Ranga, Poonam, Virgilio, Emma, Belagodu, Zakaula, Fuller, Bridget, Gherman, Anca, Olufuwa, Olumide, Paramsothy, Remi, Stuart, Carmel, Oakley, Naomi, Kamundi, Charlotte, Tyl, David, Collins, Katy, Silva, Pedro, Taylor, June, King, Laura, Coates, Charlotte, Crowley, Maria, Wakefield, Phillipa, Beadle, Jane, Johnson, Laura, Sargeant, Janet, Anderson, Madeleine, Brady, Ailbhe, Chan, Rebekah, Little, Jeff, McIvor, Shane, Prady, Helena, Whittle, Helen, Mathew, Bijoy, Attwood, Ben, Parsons, Penny, Ward, Geraldine, Bremmer, Pamela, Joe, West, Tracy, Baird, Jim, Ruddy, Davies, Ellie, Sathe, Sonia, Dennis, Catherine, McGregor, Alastair, Parris, Victoria, Srikaran, Sinduya, Sukha, Anisha, Clarke, Noreen, Whiteside, Jonathan, Mascarenhas, Mairi, Donaldson, Avril, Matheson, Joanna, Barrett, Fiona, O'Hara, Marianne, Okeefe, Laura, Bradley, Clare, Eastgate-Jackson, Christine, Filipe, Helder, Martin, Daniel, Maharajh, Amitaa, Garcia, Sara Mingo, Pakou, Glykeria, De Neef, Mark, Dent, Kathy, Horsley, Elizabeth, Akhtar, Muhmmad Nauman, Pearson, Sandra, Potoczna, Dorota, Spencer, Sue, Clapham, Melanie, Harper, Rosemary, Poultney, Una, Rice, Polly, Mutch, Rachel, Armstrong, Lisa, Bates, Hayley, Dooks, Emma, Farquhar, Fiona, Hairsine, Brigid, McParland, Chantal, Packham, Sophie, Bi, Rehana, Scholefield, Barney, Ashton, Lydia, George, Linsha, Twiss, Sophie, Wright, David, Chablani, Manish, Kirkby, Amy, Netherton, Kimberley, Davies, Kim, O'Brien, Linda, Omar, Zohra, Perkins, Emma, Lewis, Tracy, Sutherland, Isobel, Burns, Karen, Ben Chandler, Dr, Elliott, Kerry, Mallinson, Janine, Turnbull, Alison, Gondo, Prisca, Hadebe, Bernard, Kayani, Abdul, Masunda, Bridgett, Anderson, Taya, Hawcutt, Dan, O'Malley, Laura, Rad, Laura, Rogers, Naomi, Saunderson, Paula, Allison, Kathryn Sian, Afolabi, Deborah, Whitbread, Jennifer, Jones, Dawn, Dore, Rachael, Halkes, Matthew, Mercer, Pauline, Thornton, Lorraine, Dawson, Joy, Garrioch, Sweyn, Tolson, Melanie, Aldridge, Jonathan, Kapoor, Ritoo, Loader, David, Castle, Karen, Humphreys, Sally, Tampsett, Ruth, Mackintosh, Katherine, Ayers, Amanda, Harrison, Wendy, North, Julie, Allibone, Suzanne, Genetu, Roman, Kasipandian, Vidya, Patel, Amit, Mac, Ainhi, Murphy, Anthony, Mahjoob, Parisa, Nazari, Roonak, Worsley, Lucy, Fagan, Andrew, Bemand, Thomas, Black, Ethel, Dela Rosa, Arnold, Howle, Ryan, Jhanji, Shaman, Baikady, Ravishankar Rao, Tatham, Kate Colette, Thomas, Benjamin, Bell, Dina, Boyle, Rosalind, Douglas, Katie, Glass, Lynn, Lee, Emma, Lennon, Liz, Rattray, Austin, Taylor, Abigail, Hughes, Rachel Anne, Thomas, Helen, Rees, Alun, Duskova, Michaela, Phipps, Janet, Brooks, Suzanne, Edwards, Michelle, Quaid, Sheena, Watson, Ekaterina, Brayne, Adam, Fisher, Emma, Hunt, Jane, Jackson, Peter, Kaye, Duncan, Love, Nicholas, Parkin, Juliet, Tuckey, Victoria, Van Koutrik, Lynne, Carter, Sasha, Andrew, Benedict, Findlay, Louise, Adams, Katie, Service, Jen, Williams, Alison, Cheyne, Claire, Saunderson, Anne, Moultrie, Sam, Odam, Miranda, Hall, Kathryn, Mapfunde, Isheunesu, Willis, Charlotte, Lyon, Alex, Sri-Chandana, Chunda, Scherewode, Joslan, Stephenson, Lorraine, Marsh, Sarah, Hardy, John, Houlden, Henry, Moncur, Eleanor, Tariq, Ambreen, Tucci, Arianna, Hobrok, Maria, Loosley, Ronda, McGuinness, Heather, Tench, Helen, Wolf-Roberts, Rebecca, Irvine, Val, Shelley, Benjamin, Gorman, Claire, Gupta, Abhinav, Timlick, Elizabeth, Brady, Rebecca, Milligan, Barry, Bellini, Arianna, Bryant, Jade, Mayer, Anton, Pickard, Amy, Roe, Nicholas, Sowter, Jason, Howlett, Alex, Fidler, Katy, Tagliavini, Emma, Donnelly, Kevin, Boos, Jannik, van der Made, Caspar I., Ramakrishnan, Gayatri, Coughlan, Eamon, Asselta, Rosanna, Löscher, Britt-Sabina, Valenti, Luca V.C., de Cid, Rafael, Bujanda, Luis, Julià, Antonio, Pairo-Castineira, Erola, May, Sandra, Zametica, Berina, Heggemann, Julia, Albillos, Agustín, Banales, Jesus M., Barretina, Jordi, Blay, Natalia, Bonfanti, Paolo, Buti, Maria, Fernandez, Javier, Marsal, Sara, Prati, Daniele, Ronzoni, Luisa, Sacchi, Nicoletta, Schultze, Joachim L., Riess, Olaf, Franke, Andre, Rawlik, Konrad, Ellinghaus, David, Hoischen, Alexander, Schmidt, Axel, and Ludwig, Kerstin U.

Published
2024
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24. A Metacognitive Confidence Calibration (MCC) Tool to Help Medical Students Scaffold Diagnostic Reasoning in Decision-Making during High-Fidelity Patient Simulations

Author

Garbayo, Luciana S., Harris, David M., Fiore, Stephen M., Robinson, Matthew, and Kibble, Jonathan D.

Abstract

The purpose of this study was to 1) help novice students scaffold problem-solving and engage safely in the deliberate practice of diagnostic reasoning and medical decision-making in real time; 2) assess how accurately students gather and apply data in medical reasoning and treatment during high-fidelity patient simulations (HFPSs); 3) identify students' scientific misconceptions related to the case; 4) promote student metacognitive processing, self-assessment, and self-efficacy; and 5) facilitate the explicit calibration of student confidence in deliberate reasoning with patient outcomes. In a mixed-method design, a metacognitive calibration self-assessing (MCC) survey tool was applied to HFPS (n = 80, 20 teams of 6 medical students) and semistructured interviews were conducted with faculty (n = 5). When scored by faculty with a rubric, the mean student accuracy ranged from 23% to 74%, whereas their self-assessment of confidence ranged from 71% to 86%. This result revealed overconfidence bias in novice students regarding the correctness of their wrong responses. The most common misconception identified was inverting cause and effect: metabolic acidosis was pointed to as the cause of the patient's problems rather than a consequence of untreated diabetes mellitus. The most common treatment error was overtreatment, with unnecessary added medication. Interviews with faculty suggested that the MCC tool improved the team process by slowing students down, requiring them to think through their answers, and that overall the tool improved their critical thinking. This study demonstrated the feasibility of using a metacognitive confidence calibration tool to assist novice students in learning safely to make deliberate diagnostic reasoning and decisions on patient care in real time during complex simulations while observing objectively their levels of psychological confidence against patient outcomes. New & Noteworthy: This study demonstrates the feasibility of a metacognitive confidence calibration tool (MCC) to assess and promote novices in the learning of diagnostic reasoning and treatment decisions on patient care in real time during high-fidelity patient simulations while comparing confidence and accuracy data and identifying students' scientific misconceptions. Results revealed the presence of overconfidence bias, overtreatment, and the misconception of metabolic acidosis as the cause of the patient's problems rather than a consequence of untreated diabetes mellitus.

Published
2023
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27. Following excited-state chemical shifts in molecular ultrafast x-ray photoelectron spectroscopy

Author

Mayer, Dennis, Lever, Fabiano, Picconi, David, Metje, Jan, Alisauskas, Skirmantas, Calegari, Francesca, Düsterer, Stefan, Ehlert, Christopher, Feifel, Raimund, Niebuhr, Mario, Manschwetus, Bastian, Kuhlmann, Marion, Mazza, Tommaso, Robinson, Matthew S., Squibb, Richard J., Trabattoni, Andrea, Wallner, Mans, Saalfrank, Peter, Wolf, Thomas J. A., and Gühr, Markus

Subjects
Physics - Chemical Physics
Abstract

The conversion of photon energy into other energetic forms in molecules is accompanied by charge moving on ultrafast timescales. We directly observe the charge motion at a specific site in an electronically excited molecule using time-resolved x-ray photoelectron spectroscopy (TR-XPS). We extend the concept of static chemical shift from conventional XPS by the excited-state chemical shift (ESCS), which is connected to the charge in the framework of a potential model. This allows us to invert TR-XPS spectra to the dynamic charge at a specific atom. We demonstrate the power of TR-XPS by using sulphur 2p-core-electron-emission probing to study the UV-excited dynamics of 2-thiouracil. The new method allows us to discover that a major part of the population relaxes to the molecular ground state within 220-250 fs. In addition, a 250-fs oscillation, visible in the kinetic energy of the TR-XPS, reveals a coherent exchange of population among electronic states.

Published
2021
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28. Converting Hemodialysis (HD) membranes to Extracorporeal Membrane Oxygenation (ECMO) machines

Author

Das, Abhimanyu, Robinson, Matthew L., and Warsinger, D. M.

Subjects
Physics - Medical Physics, Physics - Fluid Dynamics
Abstract

Crises like COVID-19 can create a massive unmet demand for rare blood oxygenation membrane machines for impaired lungs: Extracorporeal Membrane Oxygenation (ECMO) machines. Meanwhile, Hemodialysis (HD) machines, which use membranes to supplement failing kidneys, are extremely common and widespread, with orders of magnitude more available than for ECMO machines. This short study examines whether the membranes for HD can be modified for use in blood oxygenation (ECMO). To do so, it considers mass transfer at the micro-scale level, and calculations for the macro-scale level such as blood pumping rates and O2 supply pressure. Overall, while this conversion may technically be possible, poor gas transport likely requires multiple HD membranes for one patient., Comment: 9 pages, 1 figure

Published
2020

29. Anti-PF4 antibodies associated with disease severity in COVID-19

Author

Liu, Qingbo, Miao, Huiyi, Li, Shuai, Zhang, Peng, Gerber, Gloria F., Follmann, Dean, Ji, Hongkai, Zeger, Scott L., Chertow, Daniel S., Quinn, Thomas C., Robinson, Matthew L., Kickler, Thomas S., Rothman, Richard E., Fenstermacher, Katherine Z. J., Braunstein, Evan M., Cox, Andrea L., Farci, Patrizia, Fauci, Anthony S., and Lusso, Paolo

Published
2022

32. Roadmap for the new world order

Author

Robinson, Matthew T.

Subjects
BOOKS AND READING, INTERNATIONAL RELATIONS - Bibliography
Abstract

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Published
1992

34. Colloidal structure and proton conductivity of the gel within the electrosensory organs of cartilaginous fishes.

Author

Phillips, Molly, Wheeler, Alauna C, Robinson, Matthew J, Leppert, Valerie, Jia, Manping, Rolandi, Marco, Hirst, Linda S, and Amemiya, Chris T

Subjects
Biological sciences, Colloids, Materials science, Neuroanatomy, Neuroscience, Sensory neuroscience, Zoology, 1.1 Normal biological development and functioning, Generic health relevance
Abstract

Cartilaginous fishes possess gel-filled tubular sensory organs called Ampullae of Lorenzini (AoL) that are used to detect electric fields. Although recent studies have identified various components of AoL gel, it has remained unclear how the molecules are structurally arranged and how their structure influences the function of the organs. Here we describe the structure of AoL gel by microscopy and small-angle X-ray scattering and infer that the material is colloidal in nature. To assess the relative function of the gel's protein constituents, we compared the microscopic structure, X-ray scattering, and proton conductivity properties of the gel before and after enzymatic digestion with a protease. We discovered that while proteins were largely responsible for conferring the viscous nature of the gel, their removal did not diminish proton conductivity. The findings lay the groundwork for more detailed studies into the specific interactions of molecules inside AoL gel at the nanoscale.

Published
2021

35. A spatio-temporal analysis of scrub typhus and murine typhus in Laos; implications from changing landscapes and climate.

Author

Roberts, Tamalee, Parker, Daniel M, Bulterys, Philip L, Rattanavong, Sayaphet, Elliott, Ivo, Phommasone, Koukeo, Mayxay, Mayfong, Chansamouth, Vilada, Robinson, Matthew T, Blacksell, Stuart D, and Newton, Paul N

Subjects
Tropical Medicine, Biological Sciences, Medical and Health Sciences
Abstract

BackgroundScrub typhus (ST) and murine typhus (MT) are common but poorly understood causes of fever in Laos. We examined the spatial and temporal distribution of ST and MT, with the intent of informing interventions to prevent and control both diseases.Methodology and principle findingsThis study included samples submitted from 2003 to 2017 to Mahosot Hospital, Vientiane, for ST and MT investigation. Serum samples were tested using IgM rapid diagnostic tests. Patient demographic data along with meteorological and environmental data from Laos were analysed. Approximately 17% of patients were positive for either ST (1,337/8,150 patients tested) or MT (1,283/7,552 patients tested). While both diseases occurred in inhabitants from Vientiane Capital, from the univariable analysis MT was positively and ST negatively associated with residence in Vientiane Capital. ST was highly seasonal, with cases two times more likely to occur during the wet season months of July-September compared to the dry season whilst MT peaked in the dry season. Multivariable regression analysis linked ST incidence to fluctuations in relative humidity whereas MT was linked to variation in temperature. Patients with ST infection were more likely to come from villages with higher levels of surface flooding and vegetation in the 16 days leading up to diagnosis.ConclusionsThe data suggest that as cities expand, high risk areas for MT will also expand. With global heating and risks of attendant higher precipitation, these data suggest that the incidence and spatial distribution of both MT and ST will increase.

Published
2021

38. Phylogenetic inference using Hamiltonian Monte Carlo

Author

Robinson, Matthew Bahram Edmund

Abstract

Phylogenetics is the study of evolutionary structure, aiming to reconstruct the branching structure of speciation from a common ancestor. There are many methods of infering the tree-like structure from the most basic, physical traits (morphology) to analysing the distances between genetic code based on a prede ned metric. For viruses such a method is the best way to access their hereditity. Bayesian inference enables us to learn a region of possible trees and alter the distribution of trees according to prior beliefs. The most common method of conducting Bayesian inference over evolutionary trees, called Tree space (Billera et al., 2001), is by Markov Chain Monte Carlo (MCMC). Tree space is big and exploration is slow; a modern technique for speeding up MCMC is Hamiltonian Monte Carlo (HMC), developed by Duane et al. (1987). We incorporate HMC into Tree space by creating our own algorithm: Cross-Orthant HMC (COrtHMC). Many methods of increasing HMC convergence speed have been developed, such as Riemannian Manifold HMC (RM-HMC) (Girolami et al., 2011). Where applicable, we adapted such methods to COrtHMC and then compared COrtHMC to pre-existing methods of phylogenetic inference and probabilistic path HMC (Dinh et al., 2017). We found that all forms of COrtHMC perform similarly, including ppHMC, but that the increased computational cost in using such HMC methods outweighs any bene t.

Published
2021

45. Validating the Validation: Reanalyzing a large-scale comparison of Deep Learning and Machine Learning models for bioactivity prediction

Author

Robinson, Matthew C., Glen, Robert C., and Lee, Alpha A.

Subjects
Computer Science - Machine Learning, Physics - Chemical Physics, Statistics - Machine Learning
Abstract

Machine learning methods may have the potential to significantly accelerate drug discovery. However, the increasing rate of new methodological approaches being published in the literature raises the fundamental question of how models should be benchmarked and validated. We reanalyze the data generated by a recently published large-scale comparison of machine learning models for bioactivity prediction and arrive at a somewhat different conclusion. We show that the performance of support vector machines is competitive with that of deep learning methods. Additionally, using a series of numerical experiments, we question the relevance of area under the receiver operating characteristic curve as a metric in virtual screening, and instead suggest that area under the precision-recall curve should be used in conjunction with the receiver operating characteristic. Our numerical experiments also highlight challenges in estimating the uncertainty in model performance via scaffold-split nested cross validation., Comment: Code available on GitHub: https://github.com/mc-robinson/validating_validation_supp_info

Published
2019
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47. Refining epigenetic prediction of chronological and biological age

Author

Bernabeu, Elena, McCartney, Daniel L., Gadd, Danni A., Hillary, Robert F., Lu, Ake T., Murphy, Lee, Wrobel, Nicola, Campbell, Archie, Harris, Sarah E., Liewald, David, Hayward, Caroline, Sudlow, Cathie, Cox, Simon R., Evans, Kathryn L., Horvath, Steve, McIntosh, Andrew M., Robinson, Matthew R., Vallejos, Catalina A., and Marioni, Riccardo E.

Published
2023
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48. Effect of variable retention forestry on wood frogs (Lithobates sylvaticus) in early successional boreal mixedwood forests

Author

Robinson, Matthew, Nielsen, Scott E., Eaton, Brian, and Paszkowsld, Cynthia

Subjects
Logging -- Environmental aspects, Frogs -- Protection and preservation -- Environmental aspects -- Behavior, Forest management -- Environmental aspects, Zoology and wildlife conservation
Abstract

Variable retention forest harvesting aims to reduce negative effects of harvesting on forest biodiversity, but knowledge gaps remain regarding its effects on some taxa over longer post-harvest time frames. To better understand effects of variable retention and environmental features on amphibians, we used pitfall traps to capture wood frogs (Lithobates sylvaticus (LeConte, 1825)) across four levels of retention (clearcut (0%), 20%, 50%, and unharvested control (100%)), and two forest types (deciduous and coniferous), in 17-year post-harvest forests in northwest Alberta. We mapped breeding sites and used a LiDAR-based terrain moisture index (depth-to-water) to examine relationships between relative abundance, breeding site proximity, and soil moisture. Retention level alone had no effect on relative abundance of adult wood frogs, but in late summer (July and August), there was a significant interaction between retention level and forest type: capture rates decreased with retention level for deciduous forests, but increased with retention level in conifer forests. During late summer, capture rates were higher in conifer forests than deciduous forests, with soil moisture (lower depth-to-water) positively related to capture rates. Though timber retention may be beneficial to wood frogs in the short term, any impacts of forest harvesting on wood frog abundance were undetectable in stands 17 years post-harvest. Key words: variable retention, forestry, anuran amphibians, wood frog, Lithobates sylvaticus, post-harvest regeneration, LiDAR, depth-to-water, Introduction The Boreal Forest is one of the largest forest biomes in the world, representing approximately 75% of the productive forest in Canada, as defined by a forest's ability to [...]

Published
2023
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49. Protein structure, amino acid composition and sequence determine proteome vulnerability to oxidation‐induced damage

Author

Chang, Roger L, Stanley, Julian A, Robinson, Matthew C, Sher, Joel W, Li, Zhanwen, Chan, Yujia A, Omdahl, Ashton R, Wattiez, Ruddy, Godzik, Adam, and Matallana‐Surget, Sabine

Subjects
Aetiology, 2.2 Factors relating to the physical environment, Generic health relevance, Aging, Bacterial Proteins, Computational Biology, Deinococcus, Escherichia coli, Humans, Machine Learning, Neurodegenerative Diseases, Oxidation-Reduction, Oxidative Stress, Protein Conformation, Protein Processing, Post-Translational, Proteome, Proteomics, Reactive Oxygen Species, Sequence Analysis, Protein, Deinococcus radiodurans, oxidative stress, protein carbonyl, radioresistance, structural systems biology, Deinococcus radiodurans, Biological Sciences, Information and Computing Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Oxidative stress alters cell viability, from microorganism irradiation sensitivity to human aging and neurodegeneration. Deleterious effects of protein carbonylation by reactive oxygen species (ROS) make understanding molecular properties determining ROS susceptibility essential. The radiation-resistant bacterium Deinococcus radiodurans accumulates less carbonylation than sensitive organisms, making it a key model for deciphering properties governing oxidative stress resistance. We integrated shotgun redox proteomics, structural systems biology, and machine learning to resolve properties determining protein damage by γ-irradiation in Escherichia coli and D. radiodurans at multiple scales. Local accessibility, charge, and lysine enrichment accurately predict ROS susceptibility. Lysine, methionine, and cysteine usage also contribute to ROS resistance of the D. radiodurans proteome. Our model predicts proteome maintenance machinery, and proteins protecting against ROS are more resistant in D. radiodurans. Our findings substantiate that protein-intrinsic protection impacts oxidative stress resistance, identifying causal molecular properties.

Published
2020

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