23 results on '"Puneet Kapur"'
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2. Refactoring references for library migration.
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Puneet Kapur, Bradley Cossette, and Robert J. Walker
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- 2010
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3. Simulating Worst Case Scenarios and Analyzing Their Combined Effect in Operational Release Planning.
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Ahmed Al-Emran, Puneet Kapur, Dietmar Pfahl, and Günther Ruhe
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- 2008
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4. A lightweight approach to technical risk estimation via probabilistic impact analysis.
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Robert J. Walker, Reid Holmes, Ian Hedgeland, Puneet Kapur, and Andrew Smith
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- 2006
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5. Studying the impact of uncertainty in operational release planning - An integrated method and its initial evaluation.
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Ahmed Al-Emran, Puneet Kapur, Dietmar Pfahl, and Günther Ruhe
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- 2010
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6. Optimized staffing for product releases and its application at Chartwell Technology.
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Puneet Kapur, An Ngo-The, Günther Ruhe, and Andrew Smith
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- 2008
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7. The revised Approved Instructional Resources score: An improved quality evaluation tool for online educational resources
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Nadim Lalani, Shelaina Anderson, Jonas Wilmer, Marina Roure, Kristen Weersink, Katherine A. Stuart, Brent Benavides, Wisarut Bunchit, Colleen Sweeney, Robert R. Ehrman, Richard Tang, Kelvin Tran, Gregory Wanner, Drew Kalnow, Christine Roh, Kinjal Patel, Bill Fraser, Therese Mead, Stephen Carroll, Paul Schofield, Caley Flynn, Lindy Buzikievich, Lucy Chen, Tara Stratton, Jan Hansel, Hector C. Singson, Tanner Gronowski, Ali Jamal, Adeeb Saleh, Todd Taylor, Rayan Delbani, Phil Griffith, Michael J. Ward, Miranda Wan, Ashley Kilp, Anna Whalen-Browne, Logan Mills, Ali S. Raja, Perry Menzies, Christine Patterson, Sandra Viggers, Brendan Devine, Vanessa Rogers, Braeden Beaumont, Jennifer Baird, Paula Sneath, Natasha Chatham-Zvelebil, Brandon Herb, Harry Liu, Marie Decock, Sarah Mott, Elise Lovell, Mohammad Ali Jamil, Ken Edwards, Victor Jansen, Maia Dorsett, Jaasmit Khurana, Salim R. Rezaie, Alexander Hart, Fareen Zaver, Manpreet Singh, Ching-Hsing Lee, Suzanne Rannazzisi, Mike McDonnell, Loice Swisher, Rob Carey, Joe Walter, Andrew D. D’Alessandro, Bob Stuntz, James Stempien, Preston Fedor, Kelly Lien, Parisa Shahrabadi, Shauna Regan, Alan Taylor, Nilantha Lenora, Scott Anderson, Calvin H. Yeh, Jason Trickovic, David Calcara, Werner Oberholzer, Catherine Patocka, James Fukakusa, T. Oyedokun, Ivy Liu, Regina Hammock, Steve Liu, Kevin Cullison, Chris Belcher, Teresa Dunphy, Alexis Pelletier-Bui, Zander Laurie, Ashley Lubberdink, James Pearlman, James Huffman, Nikhil Tambe, Carolyn McQuarrie, Gerhard Tiwald, Gregor Prosen, David Lowe, Henry Swoboda, Jennifer Weekes, Kimberly Connors, Aaron Tyagi, Anali Maneshi, Patrick M. Lank, Emina Hajdinjak, Levi Johnston, Eric Chen, Abdulaziz S. Almehlisi, Zach Jarou, Noorin Walji, Alvin Chin, Tanis Quaife, Nikytha Antony, Lawrence Yau, Alexander Zozula, Gregory Costello, Louise Rang, John Mayo, Evan S. Schwarz, Victoria Brazil, P. Mukherj, Taylor Duda, Jaime Jordan, Susan McLellan, Alim Pardhan, Jared Baylis, Allan Mix, Cathy Grossman, Sean Dyer, Emily House, Eric Shappell, Colin Andrews, Mark Woodcroft, William D.T. Kent, Anthony Bryson, Nelson Wong, Pawan Gupta, Diptesh Aryal, Owen Scheirer, Morgan Oakland, Patrick Vallance, Brendan Moore, Mary R C Haas, Kenn Ghaffarian, Steve Montag, Elyse Berger Pelletier, Julianna Deutscher, Nina House, Keith Rosenberg, Sushant Chhabra, Viktor Gawlik, Michael Benham, Andrew Baker, Brent Thoma, Ernest Leber, Larissa Hattin, Casey Lyons, Timothy Chaplin, Kamini Premkumar, Shahbaz Syed, Ivanna Kruhlak, Stephanie Louka, Haakon Lenes, Rene Verbeek, SueLin Hilbert, Joshua Rudner, Julia Nood, Kelly van Diepen, Brian Whiteside, Karthryn T. Eastley, Julia Sheffield, Damjan Gaco, Sam Smith, Quinten S. Paterson, Teresa M. Chan, Jeremy Christensen, Jocelyn Andruko, Youness Elkhalidy, Cory Meeuwisse, Sheena Nandalal, Cara Weessies, Scott Knapp, Sheng Hsiang Ma, Meagan Fu, Veronica Coppersmith, William Denq, Vivian Jia, Kristina Lea, Hugh MacLeod, Simon Huang, Yingchun Lin, Wyatt Warawa, Will Sanderson, Brian Ficiur, Jessica G.Y. Luc, Taylor Nikel, Jessica Yee, Tina Choudhri, Patricia Van den Berg, Andrew Grock, Samantha Lam, Andrew Guy, Keeth Krishnan, Taku Taira, Eric Funk, Rachel Taylor, Ali Mulla, Sebastian Kohler, Kyle Kelson, Nicholas Bouchard, Stanislaw Haciski, Jesse Leontowicz, Paul Trinquero, Charlie Inboriboon, Justin Dueweke, Julian Botta, Emily Brumfield, Kat Butler, Patrick Meloy, Laleh Gharahbaghian, Andrew K. Hall, Maria Rosa Carrillo, Aubrey Powell, Louise Cassidy, Jesse May, Isabelle N. Colmers-Gray, Evelyn Tran, Sarah Batty, Vishal Puri, Randi Ramunno, Luis Vargas, Stephen Miazga, Justin Morgenstern, Michelle Lin, Andrew Griffith, Michael Susalla, Charlotte Alexander, Alex Ireland, Kerstin de Wit, Marcia L. Edmonds, Robert Sobehart, Rob Woods, Kirsty Challen, Dave Slessor, Abby Cosgrove, Eric Chochi, Onyeka Otugo, Amy F. Ho, Alexandra Gustafson, Zlata Vlodaver, Kerry Spearing, Ryan Raffel, Milan L Ridderikhof, Barbra Backus, Saeed Alqahtani, Paul Schunk, Anne Messman, Seth Kelly, Puneet Kapur, Andrew Little, Kathryn Chan, Sean Nugent, Rishi Khakhkhar, Mohammed Alkhalifah, Rachel Wang, Jesse Hill, Marc Phan, Jaroslaw Gucwa, Nick Mancuso, Paxton Ting, Matthew Wagner, Zafrina Poonja, Elisha Targonsky, Britni Sternard, Katherine Yurkiw, Manrique Umana, Jeff Hill, Matthew Willis, and Sherri L. Rudinsky
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Medical education ,education.field_of_study ,Intraclass correlation ,business.industry ,Best practice ,Population ,MEDLINE ,Context (language use) ,Usability ,Original Contribution ,Emergency Nursing ,Education ,Emergency Medicine ,Thematic analysis ,education ,business ,Psychology ,Quality assurance - Abstract
Background Free Open-Access Medical education (FOAM) use among residents continues to rise. However, it often lacks quality assurance processes and residents receive little guidance on quality assessment. The Academic Life in Emergency Medicine Approved Instructional Resources tool (AAT) was created for FOAM appraisal by and for expert educators and has demonstrated validity in this context. It has yet to be evaluated in other populations. Objectives We assessed the AAT's usability in a diverse population of practicing emergency medicine (EM) physicians, residents, and medical students; solicited feedback; and developed a revised tool. Methods As part of the Medical Education Translational Resources: Impact and Quality (METRIQ) study, we recruited medical students, EM residents, and EM attendings to evaluate five FOAM posts with the AAT and provide quantitative and qualitative feedback via an online survey. Two independent analysts performed a qualitative thematic analysis with discrepancies resolved through discussion and negotiated consensus. This analysis informed development of an initial revised AAT, which was then further refined after pilot testing among the author group. The final tool was reassessed for reliability. Results Of 330 recruited international participants, 309 completed all ratings. The Best Evidence in Emergency Medicine (BEEM) score was the component most frequently reported as difficult to use. Several themes emerged from the qualitative analysis: for ease of use-understandable, logically structured, concise, and aligned with educational value. Limitations include deviation from questionnaire best practices, validity concerns, and challenges assessing evidence-based medicine. Themes supporting its use include evaluative utility and usability. The author group pilot tested the initial revised AAT, revealing a total score average measure intraclass correlation coefficient (ICC) of moderate reliability (ICC = 0.68, 95% confidence interval [CI] = 0 to 0.962). The final AAT's average measure ICC was 0.88 (95% CI = 0.77 to 0.95). Conclusions We developed the final revised AAT from usability feedback. The new score has significantly increased usability, but will need to be reassessed for reliability in a broad population.
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- 2021
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8. A Comparison Between Computer-Assisted Self-Triage by Patients and Triage Performed by Nurses in the Emergency Department
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Rhonda Bryce, Martin Betz, Puneet Kapur, Sachin Trivedi, James Stempien, and Jessica Littmann
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medicine.medical_specialty ,over-crowding ,Potential risk ,business.industry ,Medical record ,General Engineering ,ED triage nurse ,Cardiorespiratory fitness ,Healthcare Technology ,Odds ratio ,Emergency department ,030204 cardiovascular system & hematology ,Triage ,hospital administration ,Health administration ,03 medical and health sciences ,0302 clinical medicine ,Emergency medicine ,Emergency Medicine ,medicine ,Other ,triage ,business ,030217 neurology & neurosurgery - Abstract
Background and objective Emergency departments (EDs) often find the number of arriving patients exceeding their capacity and find it difficult to triage them in a timely manner. The potential risk to the safety of patients awaiting assessment by a triage professional has led some hospitals to consider implementing patient self-triage, such as using kiosks. Published studies about patient self-triage are scarce and information about patients' ability to accurately assess the acuity of their condition or predict their need to be hospitalized is limited. In this study, we aimed to compare computer-assisted patient self-triage scores versus the scores assigned by the dedicated ED triage nurse (TN). Methods This pilot study enrolled patients presenting to a tertiary care hospital ED without ambulance transport. They were asked a short series of simple questions based on an algorithm, which then generated a triage score. Patients were asked whether they were likely to be admitted to the hospital. Patients then entered the usual ED system of triage. The algorithm-generated triage score was then compared with the Canadian Triage and Acuity Scale (CTAS) score assigned by the TN. Whether the patients actually required hospital admission was determined by checking their medical records. Results Among the 492 patients enrolled, agreement of triage scores was observed in 27%. Acuity was overestimated by 65% of patients. Underestimation of acuity occurred in 8%. Among patients predicting hospitalization, 17% were admitted, but the odds ratio (OR) for admission was 3.4. Half of the patients with cardiorespiratory complaints were correct in predicting the need for hospitalization. Conclusion The use of a short questionnaire by patients to self-triage showed limited accuracy, but sensitivity was high for some serious medical conditions. The prediction of hospitalization was more accurate with regard to cardiorespiratory complaints.
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- 2021
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9. Left ventricular outflow tract pseudoaneurysm diagnosed with point-of-care ultrasound in the emergency department
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Jordan Chenkin, Puneet Kapur, and Melanie Baimel
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Adult ,Male ,medicine.medical_specialty ,Heart Ventricles ,Point-of-Care Systems ,030204 cardiovascular system & hematology ,Diagnosis, Differential ,03 medical and health sciences ,Pseudoaneurysm ,0302 clinical medicine ,medicine ,Ventricular outflow tract ,Humans ,cardiovascular diseases ,Myocardial infarction ,Ultrasonography ,business.industry ,Cardiogenic shock ,030208 emergency & critical care medicine ,Emergency department ,medicine.disease ,Surgery ,Cardiac surgery ,Coronary arteries ,medicine.anatomical_structure ,Ventricle ,cardiovascular system ,Emergency Medicine ,business ,Emergency Service, Hospital ,Aneurysm, False - Abstract
Left ventricular outflow tract pseudoaneurysms are a rare but life-threatening disorder, often caused by complications of cardiac surgery or myocardial infarction. We present a case report of a patient with no prior risk factors who presented with a six-month history of progressive exertional dyspnea, bilateral leg swelling and cough. Point-of-care ultrasound revealed an unexpected outpouching of the left ventricle. He was diagnosed with a left ventricular outflow tract pseudoaneurysm and subsequently went into cardiogenic shock secondary to extension of pseudoaneurysm causing extrinsic compression of the coronary arteries. The patient underwent successful emergency surgical repair and made a full recovery.
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- 2018
10. Abstract TP270: Stroke Code Simulation for Neurology and Emergency Medicine Residents
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Laura K. Stein, Hesham Masoud, Mandip S. Dhamoon, Gurmeen Kaur, Vishal Shah, and Puneet Kapur
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Advanced and Specialized Nursing ,medicine.medical_specialty ,Medical knowledge ,Neurology ,business.industry ,medicine.disease ,Preparedness ,medicine ,Code (cryptography) ,Health education ,Neurology (clinical) ,Medical emergency ,Cardiology and Cardiovascular Medicine ,business ,Stroke ,Acute stroke - Abstract
Background: Simulation-based learning has improved medical knowledge, proficiency and performance. The treatment window for acute stroke is limited, making preparedness exceedingly critical. We aimed to assess improvement in performance in first responders to ‘stroke codes’, namely junior Neurology and Emergency Medicine (EM) residents. EM residents were included because EM physicians often make tPA decisions at peripheral and non-academic hospitals. Methods: 14 Neurology and 10 EM residents participated at Upstate Medical University, Syracuse, New York. The simulation consisted of senior Neurology residents playing the roles of stroke patient, CT technician and radiologist, nurse, pharmacist and the stroke fellow on-call. The simulation included the time from patient arrival to acute stroke treatment. Each junior Neurology and EM resident completed this simulation, while the rest of the group observed. Cases included stroke mimics, strokes with large vessel occlusions, dissections, cases ineligible for acute intervention, intracerebral and subarachnoid hemorrhages, basilar thrombosis, wake-up strokes, seizure at onset and dissections. Participants reviewed non-contrast CT head, EKG and CT angiography of the head and neck to make decisions about tPA administration and endovascular interventions. This was followed by a debriefing session by the attending and chief residents. Participants filled a pre-and post-simulation graded questionnaire on medical knowledge and confidence (range 0-25, with higher scores reflecting higher performance). Results: The mean score was 18 (range 14-23) pre-simulation and 22 (range 18-25) post-simulation for Neurology residents and 14 (range 8-24) pre-simulation and 18 (range 10-23) post-simulation for EM residents. For all residents, pre-and post-median score was 17 and 19 (Wilcoxon signed-rank test p Conclusion: Because running an effective stroke code requires coordination and rapid analysis, stroke simulation is an effective way of improving knowledge and confidence among residents and should be integrated into the Neurology and EM residency curriculum.
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- 2018
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11. The Social Media Index as an Indicator of Quality for Emergency Medicine Blogs: A METRIQ Study
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Brent Thoma, Teresa M. Chan, Puneet Kapur, Derek Sifford, Marshall Siemens, Michael Paddock, Felix Ankel, Andy Grock, Michelle Lin, Charlotte Alexander, Mohammed Alkhalifah, Abdulaziz S. Almehlisi, Saeed Alqahtani, Scott Anderson, Shelaina Anderson, Colin Andrews, Jocelyn Andruko, Nikytha Antony, Diptesh Aryal, Barbra Backus, Jennifer Baird, Andrew Baker, Sarah Batty, Jared Baylis, Braeden Beaumont, Chris Belcher, Brent Benavides, Michael Benham, Julian Botta, Nicholas Bouchard, Victoria Brazil, Emily Brumfield, Anthony Bryson, Wisarut Bunchit, Kat Butler, Lindy Buzikievich, David Calcara, Rob Carey, Stephen Carroll, Louise Cassidy, Kirsty Challen, Kathryn Chan, Tim Chaplin, Natasha Chatham-Zvelebil, Eric Chen, Lucy Chen, Sushant Chhabra, Alvin Chin, Eric Chochi, Tina Choudhri, Jeremy Christensen, Isabelle Colmers-Gray, Kimberly Connors, Veronica Coppersmith, Abby Cosgrove, Gregory Costello, Kevin Cullison, Andrew D'Alessandro, Kerstin de Wit, Marie Decock, Rayan Delbani, William Denq, Julianna Deutscher, Brendan Devine, Maia Dorsett, Taylor Duda, Justin Dueweke, Teresa Dunphy, Sean Dyer, Karthryn T Eastley, Marcia Edmonds, Ken Edwards, Robert Ehrman, Youness Elkhalidy, Preston Fedor, Brian Ficiur, Caley Flynn, Bill Fraser, Meagan Fu, James Fukakusa, Eric Funk, Damjan Gaco, Viktor Gawlik, Kenn Ghaffarian, Laleh Gharahbaghian, Phil Griffith, Andrew Griffith, Andrew Grock, Tanner Gronowski, Cathy Grossman, Jaroslaw Gucwa, Pawan Gupta, Alexandra Gustafson, Andrew Guy, Mary Haas, Stanislaw Haciski, Emina Hajdinjak, Andrew K. Hall, Regina Hammock, Jan Hansel, Alexander Hart, Larissa Hattin, Brandon Herb, SueLin Hilbert, Jesse Hill, Jeff Hill, Amy Ho, Emily House, Nina House, James Huffman, Charlie Inboriboon, Alex Ireland, Ali Jamal, Mohammad Ali Jamil, Victor Jansen, Zach Jarou, Vivian Jia, Levi Johnston, Drew Kalnow, Seth Kelly, Kyle Kelson, William Kent, Rishi Khakhkhar, Jaasmit Khurana, Ashley Kilp, Scott Knapp, Sebastian Kohler, Ivanna Kruhlak, Nadim Lalani, Samantha Lam, Patrick Lank, Zander Laurie, Kristina Lea, Ernest Leber, Ching-Hsing Lee, Haakon Lenes, Nilantha Lenora, Jesse Leontowicz, Kelly Lien, Yingchun Lin, Andrew Little, Ivy Liu, Harry Liu, Steve Liu, Stephanie Louka, Elise Lovell, David Lowe, Ashley Lubberdink, Jessica Luc, Casey Lyons, Sheng-Hsiang Ma, Hugh MacLeod, Nick Mancuso, Anali Maneshi, Jesse May, John Mayo, Mike McDonnell, Susan McLellan, Carolyn McQuarrie, Julia Nood, Therese Mead, Cory Meeuwisse, Patrick Meloy, Perry Menzies, Anne Messman, Stephen Miazga, Logan Mills, Ken Milne, Allan Mix, Steve Montag, Brendan Moore, Justin Morgenstern, Sarah Mott, P. Mukherj, Ali Mulla, Sheena Nandalal, Taylor Nikel, Sean Nugent, Morgan Oakland, Werner Oberholzer, Onyeka Otugo, Taofiq Segun Oyedokun, Mike Paddock, Alim Pardhan, Kinjal Patel, Quinten Paterson, Catherine Patocka, Christine Patterson, James Pearlman, Elyse Berger Pelletier, Alexis Pelletier-Bui, Marc Phan, Zafrina Poonja, Aubrey Powell, Kamini Premkumar, Gregor Prosen, Vishal Puri, Tanis Quaife, Ryan Raffel, Ali Raja, Randi Ramunno, Louise Rang, Suzanne Rannazzisi, Shauna Regan, Salim R. Rezaie, Milan Ridderikhof, Vanessa Rogers, Christine Roh, Dra. Maria Rosa Carrillo, Keith Rosenberg, Marina Roure, Sherri Rudinsky, Joshua Rudner, Adeeb Saleh, Will Sanderson, Owen Scheirer, Paul Schofield, Paul Schunk, Evan Schwarz, Parisa Shahrabadi, Eric Shappell, Julia Sheffield, Jonathan Sherbino, Manpreet Singh, Hector C Singson, Dave Slessor, Sam Smith, Paula Sneath, Robert Sobehart, Kerry Spearing, James Stempien, Britni Sternard, Tara Stratton, Katherine Stuart, Bob Stuntz, Michael Susalla, Colleen Sweeney, Loice Swisher, Henry Swoboda, Shahbaz Syed, Taku Taira, Nikhil Tambe, Richard Tang, Elisha Targonsky, Rachel Taylor, Alan Taylor, Todd Taylor, Paxton Ting, Gerhard Tiwald, Kelvin Tran, Evelyn Tran, Jason Trickovic, Paul Trinquero, Seth Trueger, Aaron Tyagi, Manrique Umana, Patrick Vallance, Patricia Van den Berg, Luis Vargas, Rene Verbeek, Sandra Viggers, Zlata Vlodaver, Matthew Wagner, Noorin Walji, Joe Walter, Miranda Wan, Rachel Wang, Gregory Wanner, Wyatt Warawa, Mike Ward, Jennifer Weekes, Kristen Weersink, Cara Weessies, Anna Whalen-Browne, Brian Whiteside, Matthew Willis, Jonas Wilmer, Nelson Wong, Mark Woodcroft, Rob Woods, Lawrence Yau, Jessica Yee, Calvin Yeh, Simon York Ming Huang, Katherine Yurkiw, Fareen Zaver, Alexander Zozula, Emergency Department, Graduate School, ACS - Heart failure & arrhythmias, and ACS - Diabetes & metabolism
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Adult ,Male ,medicine.medical_specialty ,Index (economics) ,Blogging ,Cross-sectional study ,media_common.quotation_subject ,education ,MEDLINE ,03 medical and health sciences ,0302 clinical medicine ,Medicine ,Humans ,Social media ,Quality (business) ,030212 general & internal medicine ,media_common ,Web site ,business.industry ,030208 emergency & critical care medicine ,Critical appraisal ,Cross-Sectional Studies ,Emergency medicine ,Emergency Medicine ,Gestalt psychology ,Female ,business ,Social Media - Abstract
Study objective Online educational resources such as blogs are increasingly used for education by emergency medicine clinicians. The Social Media Index was developed to quantify their relative impact. The Medical Education Translational Resources: Indicators of Quality (METRIQ) study was conducted in part to determine the association between the Social Media Index score and quality as measured by gestalt and previously derived quality instruments. Methods Ten blogs were randomly selected from a list of emergency medicine and critical care Web sites. The 2 most recent clinically oriented blog posts published on these blogs were evaluated with gestalt, the Academic Life in Emergency Medicine Approved Instructional Resources (ALiEM AIR) score, and the METRIQ-8 score. Volunteer raters (including medical students, emergency medicine residents, and emergency medicine attending physicians) were identified with a multimodal recruitment methodology. The Social Media Index was calculated in February 2016, November 2016, April 2017, and December 2017. Pearson's correlations were calculated between the Social Media Index and the average rater gestalt, ALiEM AIR score, and METRIQ-8 score. Results A total of 309 of 330 raters completed all ratings (93.6%). The Social Media Index correlated moderately to strongly with the mean rater gestalt ratings (range 0.69 to 0.76) and moderately with the mean rater ALiEM AIR score (range 0.55 to 0.61) and METRIQ-8 score (range 0.53 to 0.57) during the month of the blog post's selection and for 2 years after. Conclusion The Social Media Index's correlation with multiple quality evaluation instruments over time supports the hypothesis that it is associated with overall Web site quality. It can play a role in guiding individuals to high-quality resources that can be reviewed with critical appraisal techniques.
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- 2018
12. Individual Gestalt Is Unreliable for the Evaluation of Quality in Medical Education Blogs: A METRIQ Study
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Brent Thoma, Stefanie S. Sebok-Syer, Keeth Krishnan, Marshall Siemens, N. Seth Trueger, Isabelle Colmers-Gray, Rob Woods, Emil Petrusa, Teresa Chan, Charlotte Alexander, Mohammed Alkhalifah, Saeed Alqahtani, Scott Anderson, Shelaina Anderson, Colin Andrews, Jocelyn Andruko, Felix Ankel, Nikytha Antony, Diptesh Aryal, Barbra Backus, Jennifer Baird, Andrew Baker, Sarah Batty, Jared Baylis, Braeden Beaumont, Chris Belcher, Brent Benavides, Michael Benham, Elyse Berger Pelletier, Julian Botta, Nicholas Bouchard, Victoria Brazil, Emily Brumfield, Anthony Bryson, Wisarut Bunchit, Kat Butler, Lindy Buzikievich, David Calcara, Rob Carey, Stephen Carroll, Casey Lyons, Louise Cassidy, Kirsty Challen, Tim Chaplin, Natasha Chatham-Zvelebil, Eric Chen, Lucy Chen, Sushant Chhabra, Alvin Chin, Eric Chochi, Tina Choudhri, Jeremy Christensen, Kimberly Connors, Veronica Coppersmith, Abby Cosgrove, Gregory Costello, Kevin Cullison, Andrew D'Alessandro, Kerstin de Wit, Marie Decock, Rayan Delbani, William Denq, Julianna Deutscher, Brendan Devine, Maia Dorsett, Taylor Duda, Justin Dueweke, Teresa Dunphy, Sean Dyer, Kathryn T. Eastley, Marcia Edmonds, Ken Edwards, Robert Ehrman, Youness Elkhalidy, Preston Fedor, Brian Ficiur, Caley Flynn, Bill Fraser, Meagan Fu, James Fukakusa, Eric Funk, Damjan Gaco, Viktor Gawlik, Kenn Ghaffarian, Laleh Gharahbaghian, Phil Griffith, Andrew Griffith, Andrew Grock, Tanner Gronowski, Cathy Grossman, Jaroslaw Gucwa, Pawan Gupta, Alexandra Gustafson, Andrew Guy, Mary Haas, Stanislaw Haciski, Emina Hajdinjak, Andrew K. Hall, Regina Hammock, Jan Hansel, Alexander Hart, Larissa Hattin, Brandon Herb, SueLin Hilbert, Jesse Hill, Jeff Hill, Amy Ho, Emily House, Nina House, James Huffman, Charlie Inboriboon, Alex Ireland, Mohammed Ali Jamal, Victor Jansen, Zach Jarou, Vivian Jia, Levi Johnston, Drew Kalnow, Puneet Kapur, Seth Kelly, Kyle Kelson, William Kent, Rishi Khakhkhar, Jaasmit Khurana, Ashley Kilp, Scott Knapp, Sebastian Kohler, Ivanna Kruhlak, Nadim Lalani, Samantha Lam, Patrick Lank, Zander Laurie, Kristina Lea, Ernest Leber, Ching-Hsing Lee, Haakon Lenes, Nilantha Lenora, Jesse Leontowicz, Kelly Lien, Yingchun Lin, Michelle Lin, Andrew Little, Ivy Liu, Harry Liu, Steve Liu, Stephanie Louka, Elise Lovell, David Lowe, Ashley Lubberdink, Jessica Luc, Sheng-Hsiang Ma, Hugh MacLeod, Nick Mancuso, Anali Maneshi, Dra. Maria Rosa Carrillo, Jesse May, John Mayo, Mike McDonnell, Susan McLellan, Carolyn McQuarrie, Julia Nood, Therese Mead, Cory Meeuwisse, Patrick Meloy, Perry Menzies, Anne Messman, Stephen Miazga, Logan Mills, Ken Milne, Allan Mix, Steve Montag, Brendon Moore, Justin Morgenstern, Sarah Mott, P. Mukherj, Ali Mulla, Sheena Nandalal, Taylor Nikel, Sean Nugent, Morgan Oakland, Werner Oberholzer, Onyeka Otugo, Taofiq Segun Oyedokun, Mike Paddock, Alim Pardhan, Kinjal Patel, Quinten Paterson, Catherine Patocka, Christine Patterson, James Pearlman, Alexis Pelletier-Bui, Marc Phan, Zafrina Poonja, Aubrey Powell, Kamini Premkumar, Gregor Prosen, Vishal Puri, Tanis Quaife, Ryan Raffel, Ali Raja, Randi Ramunno, Louise Rang, Suzanne Rannazzisi, Shauna Regan, Milan Ridderikhof, Vanessa Rogers, Christine Roh, Keith Rosenberg, Marina Roure, Sherri Rudinsky, Joshua Rudner, Adeeb Saleh, Will Sanderson, Owen Scheirer, Paul Schofield, Paul Schunk, Evan Schwarz, Parisa Shahrabadi, Eric Shappell, Julia Sheffield, Jonathan Sherbino, Manpreet Singh, Hector C. Singson, Dave Slessor, Sam Smith, Paula Sneath, Robert Sobehart, Kerry Spearing, James Stempien, Britni Sternard, Tara Stratton, Katherine Stuart, Bob Stuntz, Michael Susalla, Colleen Sweeney, Loice Swisher, Henry Swoboda, Shahbaz Syed, Taku Taira, Nikhil Tambe, Richard Tang, Elisha Targonsky, Rachel Taylor, Alan Taylor, Todd Taylor, Paxton Ting, Gerhard Tiwald, Kelvin Tran, Evelyn Tran, Jason Trickovic, Paul Trinquero, Seth Trueger, Aaron Tyagi, Manrique Umana, Patrick Vallance, Patricia Van den Berg, Luis Vargas, Rene Verbeek, Sandra Viggers, Zlata Vlodaver, Matthew Wagner, Noorin Walji, Joe Walter, Miranda Wan, Rachel Wang, Gregory Wanner, Wyatt Warawa, Mike Ward, Jennifer Weekes, Kristen Weersink, Cara Weessies, Anna Whalen-Browne, Brian Whiteside, Matthew Willis, Jonas Wilmer, Nelson Wong, Mark Woodcroft, Lawrence Yau, Jessica Yee, Calvin Yeh, Simon York Ming Huang, Katherine Yurkiw, Fareen Zaver, Alexander Zozula, Graduate School, Emergency Department, ACS - Heart failure & arrhythmias, and ACS - Diabetes & metabolism
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Adult ,Male ,Students, Medical ,Blogging ,Intraclass correlation ,media_common.quotation_subject ,education ,MEDLINE ,Likert scale ,03 medical and health sciences ,0302 clinical medicine ,Evaluation methods ,Medicine ,Humans ,Quality (business) ,Generalizability theory ,030212 general & internal medicine ,Reliability (statistics) ,media_common ,Medical education ,Education, Medical ,business.industry ,Internship and Residency ,Reproducibility of Results ,030208 emergency & critical care medicine ,Gestalt Theory ,Emergency Medicine ,Gestalt psychology ,Female ,Clinical Competence ,Educational Measurement ,business ,Social Media - Abstract
Study objective Open educational resources such as blogs are increasingly used for medical education. Gestalt is generally the evaluation method used for these resources; however, little information has been published on it. We aim to evaluate the reliability of gestalt in the assessment of emergency medicine blogs. Methods We identified 60 English-language emergency medicine Web sites that posted clinically oriented blogs between January 1, 2016, and February 24, 2016. Ten Web sites were selected with a random-number generator. Medical students, emergency medicine residents, and emergency medicine attending physicians evaluated the 2 most recent clinical blog posts from each site for quality, using a 7-point Likert scale. The mean gestalt scores of each blog post were compared between groups with Pearson's correlations. Single and average measure intraclass correlation coefficients were calculated within groups. A generalizability study evaluated variance within gestalt and a decision study calculated the number of raters required to reliably (>0.8) estimate quality. Results One hundred twenty-one medical students, 88 residents, and 100 attending physicians (93.6% of enrolled participants) evaluated all 20 blog posts. Single-measure intraclass correlation coefficients within groups were fair to poor (0.36 to 0.40). Average-measure intraclass correlation coefficients were more reliable (0.811 to 0.840). Mean gestalt ratings by attending physicians correlated strongly with those by medical students (r=0.92) and residents (r=0.99). The generalizability coefficient was 0.91 for the complete data set. The decision study found that 42 gestalt ratings were required to reliably evaluate quality (>0.8). Conclusion The mean gestalt quality ratings of blog posts between medical students, residents, and attending physicians correlate strongly, but individual ratings are unreliable. With sufficient raters, mean gestalt ratings provide a community standard for assessment.
- Published
- 2016
13. Nitric Oxide Donor Exisulind Is an Effective Inhibitor of Murine Photocarcinogenesis†
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Puneet Kapur, Sandeep C. Chaudhary, Zhiping Weng, Levy Kopelovich, Mohammad Athar, Tripti Singh, and Craig A. Elmets
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Epithelial-Mesenchymal Transition ,Skin Neoplasms ,Ultraviolet Rays ,Administration, Topical ,Snails ,Gene Expression ,Biochemistry ,Article ,Mice ,chemistry.chemical_compound ,Twist transcription factor ,Sulindac ,Bcl-2-associated X protein ,Cyclin D1 ,Exisulind ,Biomarkers, Tumor ,Animals ,Nitric Oxide Donors ,Epithelial–mesenchymal transition ,Physical and Theoretical Chemistry ,Skin ,bcl-2-Associated X Protein ,Mice, Hairless ,biology ,Anti-Inflammatory Agents, Non-Steroidal ,Carcinoma ,Twist-Related Protein 1 ,General Medicine ,Cadherins ,Molecular biology ,Fibronectins ,Hairless ,chemistry ,Tumor progression ,Apoptosis ,biology.protein ,bcl-Associated Death Protein ,Snail Family Transcription Factors ,Signal Transduction ,Transcription Factors - Abstract
NO-releasing nonsteroidal anti-inflammatory drugs (NO-NSAIDs) have been shown to have anti-inflammatory, antiproliferative and apoptosis-inducing effects in tumor cells. Herein, we have investigated the effects of NO-exisulind on the growth of UVB-induced skin tumor development in a murine model. We found that the topical treatment with NO-exisulind significantly reduced UVB-induced tumors in SKH-1 hairless mice. The tumors/tumor bearing mouse, the number of tumors/mouse and tumor volume/mouse decreased significantly (P0.05) as compared with vehicle-treated and UVB-irradiated positive controls. Consistently, NO-exisulind-treated animals showed reduced expression of proliferation markers, such as PCNA and cyclin D1. These mice also manifested increased expression of proapoptotic Bax and decreased expression of antiapoptotic Bcl2 with an increase in the number of TUNEL-positive cells in tumors. We also investigated whether NO-exisulind-treated tumors are less invasive and progress less efficiently from benign to malignant carcinomas. For this, tumors were stained for various epithelial-mesenchymal transition (EMT) markers. NO-exisulind decreased the expression of mesenchymal markers, such as Fibronectin, N-cadherin, SNAI, Slug and Twist and enhanced the epithelial marker E-cadherin. Similarly, UVB-induced phosphorylation of Erk1/2 and p38 was decreased in NO-exisulind-treated animals. These data suggest that NO-exisulind reduces tumor growth and inhibits tumor progression by blocking proliferation, inducing apoptosis and reducing EMT.
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- 2012
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14. Refactoring references for library migration
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Brad Cossette, Puneet Kapur, and Robert J. Walker
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Deprecation ,Source code ,Programming language ,Computer science ,media_common.quotation_subject ,Program transformation ,Software_PROGRAMMINGTECHNIQUES ,computer.software_genre ,Computer Graphics and Computer-Aided Design ,Set (abstract data type) ,Side effect (computer science) ,Code refactoring ,TheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS ,Key (cryptography) ,Software_PROGRAMMINGLANGUAGES ,computer ,Software ,media_common - Abstract
Automated refactoring is a key feature of modern IDEs. Existing refactorings rely on the transformation of source code declarations, in which references may also be transformed as a side effect. However, there exist situations in which a declaration is not available for refactoring or would be inappropriate to transform, for example, in the presence of dangling references or where a set of references should be retargeted to a different declaration. We investigate the problem of dangling references through a detailed study of three open source libraries. We find that the introduction of dangling references during library migration is a significant real problem, and characterize the specific issues that arise. Based on these findings we provide and test a prototype tool, called Trident, that allows programmers to refactor references. Our results suggest that supporting the direct refactoring of references is a significant improvement over the state-of-the-art.
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- 2010
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15. Studying the impact of uncertainty in operational release planning – An integrated method and its initial evaluation
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Puneet Kapur, Ahmed Al-Emran, Guenther Ruhe, and Dietmar Pfahl
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Engineering ,Operations research ,business.industry ,Heuristic ,Context (language use) ,Variance (accounting) ,Computer Science Applications ,Sensitivity analysis ,Discrete event simulation ,Duration (project management) ,business ,Baseline (configuration management) ,Software ,Uncertainty analysis ,Simulation ,Information Systems - Abstract
Context: Uncertainty is an unavoidable issue in software engineering and an important area of investigation. This paper studies the impact of uncertainty on total duration (i.e., make-span) for implementing all features in operational release planning. Objective: The uncertainty factors under investigation are: (1) the number of new features arriving during release construction, (2) the estimated effort needed to implement features, (3) the availability of developers, and (4) the productivity of developers. Method: An integrated method is presented combining Monte-Carlo simulation (to model uncertainty in the operational release planning (ORP) process) with process simulation (to model the ORP process steps and their dependencies as well as an associated optimization heuristic representing an organization-specific staffing policy for make-span minimization). The method allows for evaluating the impact of uncertainty on make-span. The impact of uncertainty factors both in isolation and in combination are studied in three different pessimism levels through comparison with a baseline plan. Initial evaluation of the method is done by an explorative case study at Chartwell Technology Inc. to demonstrate its applicability and its usefulness. Results: The impact of uncertainty on release make-span increases - both in terms of magnitude and variance - with an increase of pessimism level as well as with an increase of the number of uncertainty factors. Among the four uncertainty factors, we found that the strongest impact stems from the number of new features arriving during release construction. We have also demonstrated that for any combination of uncertainty factors their combined (i.e., simultaneous) impact is bigger than the addition of their individual impacts. Conclusion: The added value of the presented method is that managers are able to study the impact of uncertainty on existing (i.e., baseline) operational release plans pro-actively.
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- 2010
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16. Optimized staffing for product releases and its application at Chartwell Technology
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Andrew Smith, Günther Ruhe, An Ngo-The, and Puneet Kapur
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Resource (project management) ,Process (engineering) ,Computer science ,media_common.quotation_subject ,Genetic algorithm ,Staffing ,Quality (business) ,Incremental build model ,Industrial engineering ,Integer programming ,Software ,media_common ,Scheduling (computing) - Abstract
Release planning for incremental software development assigns features to releases such that technical, resource, risk and budget constraints are met. Each feature offers a piece of functionality. A feature can be offered as part of a release only if all its necessary tasks are done before the given release date. These tasks require different skills. Staffing for product releases as considered in this paper is the process of assigning human resources from a given pool of developers who might have varying levels of skill to perform different tasks. In addition to that, we consider time windows of absence of the developers. The primary goal of staffing is to provide product releases of best quality where quality means offering the most attractive features to customers in a timely manner. We call the problem STAFF-PRO. The problem is known to be NP-complete. Consequently, we have to be satisfied with solutions that are sufficiently good, but not necessarily optimal in the case of mid-sized or large problems. Search-based methods relying on meta-heuristics have been proven to be successful in similar contexts. In this research, a focused search (FS) method is presented. This refers to a two-phased solution approach where Phase 1 applies integer linear programming to a relaxed version of the full problem. Its solution is used as a starting point to perform FS in a reduced search space in Phase 2. The search itself is conducted by a genetic algorithm. It generates a solution that fulfills all the stated resource and scheduling constraints and is of a proven degree of optimality. We performed an empirical analysis of the proposed solution approach by comparing FS and unfocused search (UFS) (without Phase 1) for a series of 200 test examples. On average, FS performs about 15% better than UFS. The whole method was applied as an industrial case study performed at Chartwell Technology. The case study demonstrates that application of the FS method to STAFF-PRO (i) allows a reduction in the time needed for generating acceptable staffing plans, (ii) generates plans of proven quality that are better than manual plans and (iii) supports the various types of re-planning necessary for varying parameters, budgets and resource. Copyright © 2008 John Wiley & Sons, Ltd.
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- 2008
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17. P068: Patient satisfaction following educational ultrasounds in the emergency department
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Martin Betz, Jordan Chenkin, Puneet Kapur, and C. Brick
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medicine.medical_specialty ,Patient satisfaction ,business.industry ,Family medicine ,Emergency Medicine ,medicine ,Emergency department ,Medical emergency ,business ,medicine.disease - Abstract
Introduction: Development of point-of-care ultrasound (POCUS) image-generating skills requires residents to practice on patients awaiting care in the emergency department (ED) for unrelated reasons. While patients are almost universally agreeable to the scans, there is the possibility that they feel pressured to do so and may have negative experiences that go unreported. The objective of this study was to determine the self-reported patient satisfaction and identify any concerns after educational ultrasounds performed in the ED. Methods: We conducted a survey of patients at a single academic ED. Patients were eligible for enrollment if they had volunteered for an ultrasound when study personnel were available. The survey was administered by a representative from the Patient Affairs Department who advised the patients that the results would remain anonymous and would have no impact on their care. The survey included patient demographics, questions about the consent process, communication by the trainee, adverse reactions and patient satisfaction. The primary outcome was the overall satisfaction level reported by the volunteer patients on a 5-point Likert scale. Secondary outcomes included identification of any discomfort or concerns about the process as expressed by patients. Simple descriptive statistics were used to report survey results. Results: Ninety-nine patients fully completed the questionnaire. Fifty (50%) were women. The age range was 18 to 99 years. Satisfaction among volunteers was high, with 94% of respondents giving a rating of 4 or 5 (five being an excellent experience). No patients gave a negative rating (1 or 2). Three (3%) patients felt “somewhat” pressured to volunteer. A majority of patients (72%) experienced no discomfort during the scan however 16% experienced some physical discomfort. Comments indicated that too much pressure applied with the ultrasound probe or cold ultrasound gel were the main sources of discomfort. Despite some discomfort 95 (95%) patients stated they would likely volunteer again if asked in the future. Conclusion: ED patients volunteering as models for residents learning POCUS expressed generally positive perceptions of their experience. While only a small minority of patients experienced some discomfort or felt pressured into participating, it is important to ensure that patients have a process to communicate any concerns about educational ultrasounds in the ED.
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- 2017
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18. LO09: Assessing the ability of emergency department patients to self-triage by using an electronic questionnaire: a pilot study
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Puneet Kapur, Martin Betz, Sachin Trivedi, James Stempien, and J. Littmann
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medicine.medical_specialty ,business.industry ,Survey tool ,Mean age ,Emergency department ,Triage ,Test (assessment) ,Ambulatory ,Emergency medicine ,Emergency Medicine ,Medicine ,Observational study ,business ,General Emergency Department - Abstract
Introduction: The process of triage is used to prioritize the care of patients arriving in the emergency department (ED). To our knowledge, self-triage has not been previously studied in the general emergency department (ED) setting. In an attempt to test the feasibility of implementing this in the ED, we sought to assess the ability of ED patients to triage themselves using an electronic questionnaire. Methods: This was a prospective observational study. An iPad-based questionnaire was designed with a series of ‘yes’ or ‘no’ answers related to common chief complaints. A score corresponding to a Canadian Triage and Acuity Scale (CTAS) category was assigned based on their answers, without the knowledge of patients or ED staff. These scores were subsequently compared to the official CTAS score assigned by triage nurses. A convenience sample of ambulatory patients arriving at the ED were enrolled over a four week period. Patients arriving by ambulance were excluded. We also sought to assess patients’ ability to predict their ultimate disposition. Results: A total of 492 patients were enrolled. The mean age of enrolled patients was 43.9. Of enrolled patients, 56 (11.4%) were under 20 years old, 168 (34.1%) between ages 20-39, 116 (23.6%) between ages 40-59 and 152 (30.9%) older than 60 years. We had 245 (49.8%) patients identify as male. Patient-determined CTAS scores were as follows: 146 CTAS 1 (26.7%), 66 CTAS 2 (13.4%), 176 CTAS 3 (35.8%) and 104 CTAS 4 and 5 (21.1%). Formal triage CTAS scores were: 47 CTAS 2 (9.6%), 155 CTAS 3 (31.5%), and 290 CTAS 4 and 5 (59%). With our survey tool, 22.2% of patients matched their official triage scores. We found that that 69.9% of participants over-estimated their CTAS score while 7.9% underestimated it. Two hundred and three patients (41.3%) felt that they needed to be admitted. In fact, 73 patients (17.3%) were admitted to hospital. Conclusion: Using an electronic questionnaire, ambulatory patients frequently overestimated the acuity of their presenting complaint. Patients were also not unable to accurately predict their disposition. Further study of different approaches to self-triage is needed before possible implementation in EDs.
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- 2017
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19. Nitric oxide-releasing sulindac is a novel skin cancer chemopreventive agent for UVB-induced photocarcinogenesis
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Aadithya Arumugam, Tripti Singh, Levy Kopelovich, Craig A. Elmets, Mohammad Athar, Puneet Kapur, Sandeep C. Chaudhary, and Zhiping Weng
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Pathology ,medicine.medical_specialty ,Skin Neoplasms ,Ultraviolet Rays ,Antineoplastic Agents ,Toxicology ,medicine.disease_cause ,Nitric Oxide ,Article ,Nitric oxide ,chemistry.chemical_compound ,Mice ,Cyclin D1 ,Sulindac ,Cell Line, Tumor ,medicine ,Animals ,Humans ,Pharmacology ,Mice, Hairless ,integumentary system ,Chemistry ,Cell cycle ,medicine.disease ,digestive system diseases ,Hairless ,IκBα ,Cancer research ,Skin cancer ,Carcinogenesis ,medicine.drug - Abstract
Nitric oxide (NO)-releasing non-steroidal anti-inflammatory drugs (NO-NSAIDs) which have been synthesized to reduce gastro-intestinal and cardiovascular toxicities of NSAIDs, possess anti-proliferative, pro-apoptotic and anti-cancer activities. Here, we show that NO-sulindac inhibited UVB-induced skin tumorigenesis in SKH-1 hairless mice. Topical application of NO-sulindac reduced tumor incidence, number (p
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- 2012
20. A note on the diffusion of flexible manufacturing systems technology
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Albert N. Link and Puneet Kapur
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Economics and Econometrics ,Machining ,Computer science ,Compatibility (mechanics) ,Advanced manufacturing ,ComputerApplications_COMPUTERSINOTHERSYSTEMS ,Operations management ,Manufacturing systems ,Finance ,Manufacturing engineering - Abstract
This paper examines the pattern of diffusion of flexible manufacturing systems (FMS) technology across firms in the U.S. tooling and machining industry. Evidence is presented regarding the importance of compatibility standards in determining the timing of adoptions of FMS technology.
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- 1994
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21. Simulating Worst Case Scenarios and Analyzing Their Combined Effect in Operational Release Planning
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Puneet Kapur, Guenther Ruhe, Ahmed Al-Emran, and Dietmar Pfahl
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Engineering ,Software ,Operations research ,business.industry ,Resource allocation ,Worst-case scenario ,Variation (game tree) ,Isolation (database systems) ,Product (category theory) ,Discrete event simulation ,business ,Simulation - Abstract
Operational release planning (ORP) is concerned with assigning humanresources to development tasks in software projects such that a defined setof product features can be completed under given constraints. In this paper, wepresent a simulation-based approach to study the impact of uncertainty. Uncertaintyparameters considered in this paper are related to the features themselves(functionality, effort) and to developers (availability and productivity). The effectof variation of these four parameters (two static and two dynamic) onmake-span is studied in isolation and in combination. This is done for three levelsof (stochastic) pessimism ("bad", "worse", and "worst"). In addition to that,a comparison is done with a deterministic worst case scenario. To illustrate theapplicability of the method and usefulness of results, we have conducted anexplorative case study at Chartwell Technology Inc.
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- 2008
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22. A lightweight approach to technical risk estimation via probabilistic impact analysis
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Ian Hedgeland, Puneet Kapur, Andrew Smith, Reid Holmes, and Robert J. Walker
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Structure (mathematical logic) ,Decision support system ,Engineering ,Risk analysis (engineering) ,business.industry ,Event (computing) ,Risk analysis (business) ,Probabilistic logic ,Systems engineering ,Context (language use) ,Product (category theory) ,business ,Risk management - Abstract
An evolutionary development approach is increasingly commonplace in industry but presents increased difficulties in risk management, for both technical and organizational reasons. In this context, technical risk is the product of the probability of a technical event and the cost of that event. This paper presents a technique for more objectively assessing and communicating technical risk in an evolutionary development setting that (1) operates atop weakly-estimated knowledge of the changes to be made, (2) analyzes the past change history and current structure of a system to estimate the probability of change propagation, and (3) can be discussed vertically within an organization both with development staff and high-level management. A tool realizing this technique has been developed for the Eclipse IDE.
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- 2006
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23. Abstract 952: Nitric oxide donor sulindac inhibits photocarcinogenesis by modulating epithelial mesenchymal transition and mitogen activated protein kinase signaling in SKH-1 hairless mouse skin
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Craig A. Elmets, Levy Kopelovich, Puneet Kapur, Mohammad Athar, Tripti Singh, and Sandeep C. Chaudhary
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MAPK/ERK pathway ,Cancer Research ,Pathology ,medicine.medical_specialty ,TUNEL assay ,Kinase ,Cancer ,Biology ,Cell cycle ,medicine.disease ,digestive system diseases ,Hairless ,Oncology ,Cancer research ,medicine ,Epithelial–mesenchymal transition ,Skin cancer - Abstract
Nitric oxide (NO)-releasing non-steroid anti-inflammatory drugs (NO-NSAIDs) have been shown to have anti-proliferative, proapoptotic and cancer inhibitory properties. Here, we have investigated the effects of NO-donor sulindac on UVB-induced skin cancer development in SKH-1 hairless mice. Mice (6-8 weeks old) were divided into three groups of ten mice each, which received either vehicle (acetone), vehicle+UVB (180mJ/cm 2) or topical application of NO-sulindac (5mg/mouse)+UVB after dissolving in acetone. Mice-treated with NO-sulindac developed significantly less number of tumors (60%) compared with non-NO-sulindac treated mice and tumor volume was also less by 90% on termination of the experiment at week 30th. Immunohistochemical and western blot analyses revealed that the expression levels of proliferation markers such as proliferating cell nuclear antigen (PCNA) and cell cycle regulatory cyclin D1 were markedly diminished in tumors of NO-sulindac treated mice. However, the treatment of NO-sulindac resulted in enhanced apoptosis in skin tumors as ascertained by the increased terminal deoxynucleotidyl transferase-mediated nick end labeling (TUNEL) assay, reduced Bcl-2 and enhanced Bax expression levels in the tumors and tumor uninvolved skin. To investigate the effects of NO-sulindac on the progression of benign lesions to invasive carcinomas, we examined squamous cell carcinomas (SCC) for various epithelial-mesenchymal transition (EMT) markers. NO-sulindac decreased the expression of mesenchymal markers such as Fibronectin, N-cadherin, SNAI, Slug and Twist whereas the epithelial polarity marker E-cadherin was found to be increased compared to the SCCs of non-NO-sulindac treated group. Down regulation of EMT by NO-sulindac was associated with a remarkable diminution of UVB-induced phosphorylation MAPK proteins such as, extracellular signal-regulated kinase 1/2 (Erk 1/2), c-Jun-NH2 terminal kinase 1/2 (JNK1/2) and p38 in both UVB-exposed skin and skin tumors. Together our results suggest that NO-sulindac is a potential chemopreventive agent for photocarcinogenesis and that inhibition of photocarcinogenesis by NO-sulindac is associated with the inhibition of EMT and MAPK protein expression in skin tumors. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 952.
- Published
- 2010
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