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Editorial: Dsaa 2023 Journal Track On Theoretical And Practical Data Science And Analytics., Bin Yang, Feida Zhu, Wei Wei Sep 2024

Editorial: Dsaa 2023 Journal Track On Theoretical And Practical Data Science And Analytics., Bin Yang, Feida Zhu, Wei Wei

Research Collection School Of Computing and Information Systems

This special issue of the International Journal of Data Science and Analytics includes the DSAA 2023 Journal Track papers, which cover advances in both theoretical and practical aspects of data science and analytics, with a particular focus on trustworthy data science and analytics. The track contains nine papers, all of which underwent rigorous review by the guest editors and invited reviewers.


Quantum Relaxation For Solving Multiple Knapsack Problems, Monit Sharma, Jin Yan, Hoong Chuin Lau, Rudy Raymond Sep 2024

Quantum Relaxation For Solving Multiple Knapsack Problems, Monit Sharma, Jin Yan, Hoong Chuin Lau, Rudy Raymond

Research Collection School Of Computing and Information Systems

Combinatorial problems are a common challenge in business, requiring finding optimal solutions under specified constraints. While significant progress has been made with variational approaches such as QAOA, most problems addressed are unconstrained (such as Max-Cut). In this study, we investigate a hybrid quantum-classical method for constrained optimization problems, particularly those with knapsack constraints that occur frequently in financial and supply chain applications. Our proposed method relies firstly on relaxations to local quantum Hamiltonians, defined through commutative maps. Drawing inspiration from quantum random access code (QRAC) concepts, particularly Quantum Random Access Optimizer (QRAO), we explore QRAO's potential in solving large constrained …


Developer Reactions To Protestware In Open Source Software: The Cases Of Color.Js And Es5.Ext, Youmei Fan, Dong Wang, Supatsara Wattanakriengkrai, Hathaichanok Damrongsiri, Christoph Treude, Hideaki Hata, Raula Gaikovina Kula Sep 2024

Developer Reactions To Protestware In Open Source Software: The Cases Of Color.Js And Es5.Ext, Youmei Fan, Dong Wang, Supatsara Wattanakriengkrai, Hathaichanok Damrongsiri, Christoph Treude, Hideaki Hata, Raula Gaikovina Kula

Research Collection School Of Computing and Information Systems

There is growing concern about maintainers self-sabotaging their work in order to take political or economic stances, a practice referred to as “protestware”. Our objective is to understand the discourse around discussions on such an attack, how it is received by the community, and whether developers respond to the attack in a timely manner. We study two notable protestware cases i.e., colors.js and es5-ext. Results indicate that protestware discussions are spread more quickly on the GitHub platform, while security vulnerabilities are faster on social media. By establishing a taxonomy of protestware discussions, we identify posts that express stances and provide …


Sound And Complete Witnesses For Template-Based Verification Of Ltl Properties On Polynomial Programs, Krishnendu Chatterjee, Amir Goharshady, Ehsan Goharshady, Mehrdad Karrabi, Dorde Zikelic Sep 2024

Sound And Complete Witnesses For Template-Based Verification Of Ltl Properties On Polynomial Programs, Krishnendu Chatterjee, Amir Goharshady, Ehsan Goharshady, Mehrdad Karrabi, Dorde Zikelic

Research Collection School Of Computing and Information Systems

We study the classical problem of verifying programs with respect to formal specifications given in the linear temporal logic (LTL). We first present novel sound and complete witnesses for LTL verification over imperative programs. Our witnesses are applicable to both verification (proving) and refutation (finding bugs) settings. We then consider LTL formulas in which atomic propositions can be polynomial constraints and turn our focus to polynomial arithmetic programs, i.e. programs in which every assignment and guard consists only of polynomial expressions. For this setting, we provide an efficient algorithm to automatically synthesize such LTL witnesses. Our synthesis procedure is both …


Text-Driven Video Prediction, Xue Song, Jingjing Chen, Bin Zhu, Yu-Gang Jiang Sep 2024

Text-Driven Video Prediction, Xue Song, Jingjing Chen, Bin Zhu, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

Current video generation models usually convert signals indicating appearance and motion received from inputs (e.g., image and text) or latent spaces (e.g., noise vectors) into consecutive frames, fulfilling a stochastic generation process for the uncertainty introduced by latent code sampling. However, this generation pattern lacks deterministic constraints for both appearance and motion, leading to uncontrollable and undesirable outcomes. To this end, we propose a new task called Text-driven Video Prediction (TVP). Taking the first frame and text caption as inputs, this task aims to synthesize the following frames. Specifically, appearance and motion components are provided by the image and caption …


Aligning Human And Computational Coherence Evaluations, Jia Peng Lim, Hady Wirawan Lauw Sep 2024

Aligning Human And Computational Coherence Evaluations, Jia Peng Lim, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Automated coherence metrics constitute an efficient and popular way to evaluate topic models. Previous work presents a mixed picture of their presumed correlation with human judgment. This work proposes a novel sampling approach to mining topic representations at a large scale while seeking to mitigate bias from sampling, enabling the investigation of widely used automated coherence metrics via large corpora. Additionally, this article proposes a novel user study design, an amalgamation of different proxy tasks, to derive a finer insight into the human decision-making processes. This design subsumes the purpose of simple rating and outlier-detection user studies. Similar to the …


Probing Effects Of Contextual Bias On Number Magnitude Estimation, Xuehao Du, Ping Ji, Wei Qin, Lei Wang, Yunshi Lan Sep 2024

Probing Effects Of Contextual Bias On Number Magnitude Estimation, Xuehao Du, Ping Ji, Wei Qin, Lei Wang, Yunshi Lan

Research Collection School Of Computing and Information Systems

The semantic understanding of numbers requires association with context. However, powerful neural networks overfit spurious correlations between context and numbers in training corpus can lead to the occurrence of contextual bias, which may affect the network's accurate estimation of number magnitude when making inferences in real-world data. To investigate the resilience of current methodologies against contextual bias, we introduce a novel out-of- distribution (OOD) numerical question-answering (QA) dataset that features specific correlations between context and numbers in the training data, which are not present in the OOD test data. We evaluate the robustness of different numerical encoding and decoding methods …


Enhancing Multi-Agent System Testing With Diversity-Guided Exploration And Adaptive Critical State Exploitation, Xuyan Ma, Yawen Wang, Junjie Wang, Xiaofei Xie Sep 2024

Enhancing Multi-Agent System Testing With Diversity-Guided Exploration And Adaptive Critical State Exploitation, Xuyan Ma, Yawen Wang, Junjie Wang, Xiaofei Xie

Research Collection School Of Computing and Information Systems

Multi-agent systems (MASs) have achieved remarkable success in multi-robot control, intelligent transportation, and multiplayer games, etc. Thorough testing for MAS is urgently needed to ensure its robustness in the face of constantly changing and unexpected scenarios. Existing methods mainly focus on single-agent system testing and cannot be directly applied to MAS testing due to the complexity of MAS. To our best knowledge, there are fewer studies on MAS testing. While several studies have focused on adversarial attacks on MASs, they primarily target failure detection from an attack perspective, i.e., discovering failure scenarios, while ignoring the diversity of scenarios. In this …


Ft2ra: A Fine-Tuning-Inspired Approach To Retrieval-Augmented Code Completion, Qi Guo, Shangqing Liu, Xiaofei Xie, Ze Tang Tang Sep 2024

Ft2ra: A Fine-Tuning-Inspired Approach To Retrieval-Augmented Code Completion, Qi Guo, Shangqing Liu, Xiaofei Xie, Ze Tang Tang

Research Collection School Of Computing and Information Systems

The rise of code pre-trained models has significantly enhanced various coding tasks, such as code completion, and tools like GitHub Copilot. However, the substantial size of these models, especially large models, poses a significant challenge when it comes to fine-tuning them for specific downstream tasks. As an alternative approach, retrieval-based methods have emerged as a promising solution, augmenting model predictions without the need for fine-tuning. Despite their potential, a significant challenge is that the designs of these methods often rely on heuristics, leaving critical questions about what information should be stored or retrieved and how to interpolate such information for …


Bugs In Pods: Understanding Bugs In Container Runtime Systems, Jiongchi Yu, Xiaofei Xie, Ceng Zhang, Sen Chen Sep 2024

Bugs In Pods: Understanding Bugs In Container Runtime Systems, Jiongchi Yu, Xiaofei Xie, Ceng Zhang, Sen Chen

Research Collection School Of Computing and Information Systems

Container Runtime Systems (CRSs), which form the foundational infrastructure of container clouds, are critically important due to their impact on the quality of container cloud implementations. However, a comprehensive understanding of the quality issues present in CRS implementations remains lacking. To bridge this gap, we conduct the first comprehensive empirical study of CRS bugs. Specifically, we gather 429 bugs from 8,271 commits across dominant CRS projects, including runc, gvisor, containerd, and cri-o. Through manual analysis, we develop taxonomies of CRS bug symptoms and root causes, comprising 16 and 13 categories, respectively. Furthermore, we evaluate the capability of popular testing approaches, …


How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation, Cen Zhang, Yaowen Zheng, Mingqiang Bai, Yeting Li, Wei Ma, Xiaofei Xie Sep 2024

How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation, Cen Zhang, Yaowen Zheng, Mingqiang Bai, Yeting Li, Wei Ma, Xiaofei Xie

Research Collection School Of Computing and Information Systems

Fuzz drivers are essential for library API fuzzing. However, automatically generating fuzz drivers is a complex task, as it demands the creation of high-quality, correct, and robust API usage code. An LLM-based (Large Language Model) approach for generating fuzz drivers is a promising area of research. Unlike traditional program analysis-based generators, this text-based approach is more generalized and capable of harnessing a variety of API usage information, resulting in code that is friendly for human readers. However, there is still a lack of understanding regarding the fundamental issues on this direction, such as its e ectiveness and potential challenges. To …


A Two-Stage Matheuristic For The Home Healthcare Routing And Scheduling Problem With Perishable Products, Aldy Gunawan, Nabila Yuraisyah Salsabila, Vincent F. Yu, Pham Kien Minh Nguyen Sep 2024

A Two-Stage Matheuristic For The Home Healthcare Routing And Scheduling Problem With Perishable Products, Aldy Gunawan, Nabila Yuraisyah Salsabila, Vincent F. Yu, Pham Kien Minh Nguyen

Research Collection School Of Computing and Information Systems

This study proposes a home healthcare routing and scheduling problem, where perishable products such as medicines, vaccines, or meals must be provided for some patients’ treatments. This problem is formulated as a mixed integer linear programming (MILP). A two-stage matheuristic is then developed as the solution approach. The first stage is a local search to solve the nurse routing problem, and the second stage is run as the relaxed MILP to solve the scheduling problem. The matheuristic is tested on newly generated instances and compared with the results of CPLEX. The proposed matheuristic is able to obtain CPLEX solutions within …


September 2024 News Releases, University Of Montana--Missoula. Office Of University Relations Sep 2024

September 2024 News Releases, University Of Montana--Missoula. Office Of University Relations

University of Montana News Releases, 1928, 1956-present

No abstract provided.


Isokinetic Strength And Jumping Abilities Of Teenage Soccer Players Playing In Different Field Positions, Michal Gorski, Adrian Wilk, Anna Pastuszak, Michal Starczewski, Bartlomiej Michalak, Michael Lane, Krzysztof Busko Sep 2024

Isokinetic Strength And Jumping Abilities Of Teenage Soccer Players Playing In Different Field Positions, Michal Gorski, Adrian Wilk, Anna Pastuszak, Michal Starczewski, Bartlomiej Michalak, Michael Lane, Krzysztof Busko

EKU Faculty and Staff Scholarship

Soccer is a sport being performed in a very dynamic manner. It requires soccer players to be able to develop high muscle force in a very short period of time. The aim of the study was to evaluate the strength and jumping abilities of young soccer players playing in different positions on the field. The study included 49 adolescent soccer players: 6 goalkeepers, 15 defenders, 17 midfielders and 11 strikers. We measured peak torques (PT), total work (TW), and average power (AP) developed by the knee flexors and extensors under isokinetic conditions at angular velocities of 60°⋅s-1, 180°⋅s-1 and 300°⋅s-1 …


Simple And Epididymal-Sparing Orchiectomy For Surgical Castration In Stage Iv Prostate Cancer, Harrison Travis, Michael Dubic, Joseph Bardot, Blane Edwards, Jessie R. Gills, Scott E. Delacroix, Stephen Lacour, Matthew Mutter, Donald Bell, Mary E. Westerman Sep 2024

Simple And Epididymal-Sparing Orchiectomy For Surgical Castration In Stage Iv Prostate Cancer, Harrison Travis, Michael Dubic, Joseph Bardot, Blane Edwards, Jessie R. Gills, Scott E. Delacroix, Stephen Lacour, Matthew Mutter, Donald Bell, Mary E. Westerman

School of Medicine Faculty Publications

Background: Androgen deprivation therapy, the mainstay of treatment for patients with advanced prostate cancer, can be either medical or surgical. Surgery has cost benefits compared to medical treatment. In this study, we evaluated the use of simple and epididymal-sparing orchiectomy in 2 different practice settings for the treatment of metastatic prostate cancer. Methods: We reviewed patients who underwent surgical castration for metastatic prostate cancer between 2011 and 2022. The primary outcome was achieving castration-level total testosterone of /dL. We also compared the characteristics of patients who were seen at a public academic teaching hospital vs those who were seen at …


A Pilot Program To Improve Tb Care With Primary And Specialty Care Coordination In Tb Public Health Clinic, Priyanka Jadhav, Gabrielle Boudoin, R Miles, Shandrica Seymour, J Parham, Amy Wolfe, Juzar Ali Sep 2024

A Pilot Program To Improve Tb Care With Primary And Specialty Care Coordination In Tb Public Health Clinic, Priyanka Jadhav, Gabrielle Boudoin, R Miles, Shandrica Seymour, J Parham, Amy Wolfe, Juzar Ali

School of Medicine Faculty Publications

BACKGROUND: The Wetmore Tuberculosis (TB) Clinic in New Orleans serves patients who often lack primary care (PC) or specialty care (SC), which is complicated by comorbidities. An initiative to provide on-site PC and coordinate care aims to enhance TB patient management. METHODS: Data collection involved categorizing patients based on their PC status: Group I (regular PC), Group II (intermittent PC), and Group III (no PC), with on-site Nurse Practitioner-based Bridge Care (NPBC) provided as needed. RESULTS: Over 12 months, 209 out of 354 patients required NPBC and PC/SC coordination, with a 20% shift from Group III to Group I, reducing …


Long-Term Trajectories Of Sleep Duration Are Associated With Incident Diabetes In Middle-To-Older-Aged Black And White Americans, Qian Xiao, Kelsie M Full, Martin K Rutter, Loren Lipworth Sep 2024

Long-Term Trajectories Of Sleep Duration Are Associated With Incident Diabetes In Middle-To-Older-Aged Black And White Americans, Qian Xiao, Kelsie M Full, Martin K Rutter, Loren Lipworth

Faculty, Staff and Student Publications

AIMS/HYPOTHESIS: Both short and long sleep durations have been linked to higher diabetes risk. However, sleep duration may vary over time, and there has been limited research focusing on individual sleep trajectories and diabetes risk. There are substantial racial disparities in both sleep health and diabetes risk in the USA. Thus, it is important to understand the role of suboptimal sleep patterns in diabetes risk in different racial groups.

METHODS: We assessed long-term trajectories of sleep duration and incident diabetes in 22,285 Black adults (mean age ± SD, 51.1 ± 8.2 years; 64.8% women) and 13,737 White adults (mean age …


Changes In The Perceptions Of The Neighborhood Environment And Physical Activity Patterns Among Mexican Americans On The Texas-Mexico Border, Natalia I Heredia, Soo Kyung Park, Minjae Lee, Lisa Mitchell-Bennett, Paul Yeh, Rose Gowen, Arturo Rodriguez, Miryoung Lee, Belinda M Reininger Sep 2024

Changes In The Perceptions Of The Neighborhood Environment And Physical Activity Patterns Among Mexican Americans On The Texas-Mexico Border, Natalia I Heredia, Soo Kyung Park, Minjae Lee, Lisa Mitchell-Bennett, Paul Yeh, Rose Gowen, Arturo Rodriguez, Miryoung Lee, Belinda M Reininger

Faculty, Staff and Student Publications

INTRODUCTION: Little research on the association of neighborhood environment with physical activity in resource-poor communities has been done. This study assessed changes in perceptions of the neighborhood environment and the association between those perceptions and physical activity in Mexican Americans on the Texas-Mexico border in an area where there would be community efforts to enhance pedestrian and cycling infrastructure and programming.

METHODS: We analyzed data from a population-based cohort of Mexican American individuals on the Texas-Mexico border. From 2008 to 2018, interviewer-administered questionnaires were used to collect perceptions of neighborhood environment and physical activity at baseline, 5- and 10-year follow-ups, …


Proteomic Profile Of The Icam1 Pk56m Hfpef Risk Variant, Pedro Giro, Mallory Filipp, Michael J Zhang, Ethan D Moser, Edward B Thorp, Prarthana J Dalal, Ravi V Shah, Patrick T Ellinor, Jonathan W Cunningham, Sean J Jurgens, Arjun Sinha, Laura Rasmussen-Torvik, Jorge Kizer, Kent D Taylor, Philip Greenland, Bruce M Psaty, Russell P Tracy, Lin Yee Chen, Amil M Shah, Bing Yu, Sanjiv J Shah, Ravi B Patel Sep 2024

Proteomic Profile Of The Icam1 Pk56m Hfpef Risk Variant, Pedro Giro, Mallory Filipp, Michael J Zhang, Ethan D Moser, Edward B Thorp, Prarthana J Dalal, Ravi V Shah, Patrick T Ellinor, Jonathan W Cunningham, Sean J Jurgens, Arjun Sinha, Laura Rasmussen-Torvik, Jorge Kizer, Kent D Taylor, Philip Greenland, Bruce M Psaty, Russell P Tracy, Lin Yee Chen, Amil M Shah, Bing Yu, Sanjiv J Shah, Ravi B Patel

Faculty, Staff and Student Publications

A common missense variant in ICAM1 among African American individuals (rs5491; pK56M) has been associated with risk of heart failure with preserved ejection fraction (HFpEF), but the pathways that lead to HFpEF among those with this variant are not clear. In this analysis of 92 circulating proteins and their associated networks, we identified 7 circulating inflammatory proteins associated with rs5491 among >600 African American individuals. Using weighted coexpression network analysis, 3 protein networks were identified, one of which was associated with rs5491. This protein network was most highly represented by members of the tumor necrosis receptor superfamily. The rs5491 variant …


Serum And Urine Metabolites And Kidney Function, Wan-Jin Yeo, Aditya L Surapaneni, Denise C Hasson, Insa M Schmidt, Peggy Sekula, Anna Köttgen, Kai-Uwe Eckardt, Casey M Rebholz, Bing Yu, Sushrut S Waikar, Eugene P Rhee, Sarah J Schrauben, Harold I Feldman, Ramachandran S Vasan, Paul L Kimmel, Josef Coresh, Morgan E Grams, Pascal Schlosser Sep 2024

Serum And Urine Metabolites And Kidney Function, Wan-Jin Yeo, Aditya L Surapaneni, Denise C Hasson, Insa M Schmidt, Peggy Sekula, Anna Köttgen, Kai-Uwe Eckardt, Casey M Rebholz, Bing Yu, Sushrut S Waikar, Eugene P Rhee, Sarah J Schrauben, Harold I Feldman, Ramachandran S Vasan, Paul L Kimmel, Josef Coresh, Morgan E Grams, Pascal Schlosser

Faculty, Staff and Student Publications

Key Points:

  1. We provide an atlas of cross-sectional and longitudinal serum and urine metabolite associations with eGFR and urine albumin-creatinine ratio in an older community-based cohort.

  2. Metabolic profiling in serum and urine provides distinct and complementary insights into disease.

Background: Metabolites represent a read-out of cellular processes underlying states of health and disease.

Methods: We evaluated cross-sectional and longitudinal associations between 1255 serum and 1398 urine known and unknown (denoted with “X” in name) metabolites (Metabolon HD4, 721 detected in both biofluids) and kidney function in 1612 participants of the Atherosclerosis Risk in Communities study. All analyses were adjusted for …


Characterizing Common And Rare Variations In Nontraditional Glycemic Biomarkers Using Multivariate Approaches On Multiancestry Aric Study, Debashree Ray, Stephanie J Loomis, Sowmya Venkataraghavan, Jiachen Zhang, Adrienne Tin, Bing Yu, Nilanjan Chatterjee, Elizabeth Selvin, Priya Duggal Sep 2024

Characterizing Common And Rare Variations In Nontraditional Glycemic Biomarkers Using Multivariate Approaches On Multiancestry Aric Study, Debashree Ray, Stephanie J Loomis, Sowmya Venkataraghavan, Jiachen Zhang, Adrienne Tin, Bing Yu, Nilanjan Chatterjee, Elizabeth Selvin, Priya Duggal

Faculty, Staff and Student Publications

Genetic studies of nontraditional glycemic biomarkers, glycated albumin and fructosamine, can shed light on unknown aspects of type 2 diabetes genetics and biology. We performed a multiphenotype genome-wide association study of glycated albumin and fructosamine from 7,395 White and 2,016 Black participants in the Atherosclerosis Risk in Communities (ARIC) study on common variants from genotyped/imputed data. We discovered two genome-wide significant loci, one mapping to a known type 2 diabetes gene (ARAP1/STARD10) and another mapping to a novel region (UGT1A complex of genes), using multiomics gene-mapping strategies in diabetes-relevant tissues. We identified additional loci that were ancestry- and sex-specific (e.g., …


Viscusi Circular A-4 Peer Review Comments, W. Kip Viscusi Sep 2024

Viscusi Circular A-4 Peer Review Comments, W. Kip Viscusi

Vanderbilt Law School Faculty Publications

This working paper provides commentary on my 2023 peer review panel comments on the 2023 Office of Management and Budget (OMB) Circular A-4. The Prologue section introduces my official peer review comments and indicates how the structure of my comments was tailored to the guidelines established by the OMB. The main section consists of my 2023 peer review comments as they were submitted to OMB. I recommended changes in the draft Circular A-4 to increase the discount rate from the 1.7% rate that OMB proposed, to report domestic benefits whenever global benefits are reported, to adopt a behavioral transfer test …


The Problem Of Attendance At Religious Services By People With Disabilities: History And Contemporary Issues In Ukraine, Olga Polumysna, Валерій Булатов Sep 2024

The Problem Of Attendance At Religious Services By People With Disabilities: History And Contemporary Issues In Ukraine, Olga Polumysna, Валерій Булатов

Occasional Papers on Religion in Eastern Europe

This article analyzes previous scientific works by scholars who have researched the problem of religious service attendance by people with disabilities. It also employs contemporary scientific methods, including experience generalization, systematization, and comparative-historical analysis. The scientific novelty lies in exploring aspects of the crisis in religious services for people with disabilities that have emerged due to the ongoing war in Ukraine. A comprehensive analysis of the issue, including its key aspects, will help to develop a more complete understanding of the topic. This study holds practical significance, as it opens up the potential for developing methodological recommendations based on the …


The Discover In-Hospital Cardiac Arrest (Discover Ihca) Study: An Investigation Of Hospital Practices After In-Hospital Cardiac Arrest, Luke Andrea, Nathaniel S Herman, Jacob Vine, Katherine M Berg, Saiara Choudhury, Mariana Vaena, Jordan E Nogle, Saleem M Halablab, Aarthi Kaviyarasu, Jonathan Elmer, Gabriel Wardi, Alex K Pearce, Conor Crowley, Micah T Long, J Taylor Herbert, Kipp Shipley, Brittany D Bissell Turpin, Michael J Lanspa, Adam Green, Shekhar A Ghamande, Akram Khan, Siddharth Dugar, Aaron M Joffe, Michael Baram, Cooper March, Nicholas J Johnson, Alexander Reyes, Krassimir Denchev, Michael Loewe, Ari Moskowitz Sep 2024

The Discover In-Hospital Cardiac Arrest (Discover Ihca) Study: An Investigation Of Hospital Practices After In-Hospital Cardiac Arrest, Luke Andrea, Nathaniel S Herman, Jacob Vine, Katherine M Berg, Saiara Choudhury, Mariana Vaena, Jordan E Nogle, Saleem M Halablab, Aarthi Kaviyarasu, Jonathan Elmer, Gabriel Wardi, Alex K Pearce, Conor Crowley, Micah T Long, J Taylor Herbert, Kipp Shipley, Brittany D Bissell Turpin, Michael J Lanspa, Adam Green, Shekhar A Ghamande, Akram Khan, Siddharth Dugar, Aaron M Joffe, Michael Baram, Cooper March, Nicholas J Johnson, Alexander Reyes, Krassimir Denchev, Michael Loewe, Ari Moskowitz

Division of Pulmonary, Allergy, and Critical Care Medicine Faculty Papers

IMPORTANCE: In-hospital cardiac arrest (IHCA) is a significant public health burden. Rates of return of spontaneous circulation (ROSC) have been improving, but the best way to care for patients after the initial resuscitation remains poorly understood, and improvements in survival to discharge are stagnant. Existing North American cardiac arrest databases lack comprehensive data on the post-resuscitation period, and we do not know current post-IHCA practice patterns. To address this gap, we developed the Discover In-Hospital Cardiac Arrest (Discover IHCA) study, which will thoroughly evaluate current post-IHCA care practices across a diverse cohort.

OBJECTIVES: Our study collects granular data on post-IHCA …


A Time-Stratified, Case–Crossover Study Of Heat Exposure And Perinatal Mortality From 16 Hospitals In Sub-Saharan Africa, Claudia Hanson, Jeroen De Bont, Kristi Sidney Annerstedt, Maria Del Rosario Alsina, Federica Nobile, Nathalie Roos, Peter Waiswa, Andrea Pembe, Jean-Paul Dossou, Hussein Kidanto Sep 2024

A Time-Stratified, Case–Crossover Study Of Heat Exposure And Perinatal Mortality From 16 Hospitals In Sub-Saharan Africa, Claudia Hanson, Jeroen De Bont, Kristi Sidney Annerstedt, Maria Del Rosario Alsina, Federica Nobile, Nathalie Roos, Peter Waiswa, Andrea Pembe, Jean-Paul Dossou, Hussein Kidanto

Centre of Excellence in Women and Child Health

Growing evidence suggests that extreme heat events affect both pregnant women and their infants, but few studies are available from sub-Saharan Africa. Using data from 138,015 singleton births in 16 hospitals in Benin, Malawi, Tanzania and Uganda, we investigated the association between extreme heat and early perinatal deaths, including antepartum and intrapartum stillbirths, and deaths within 24 h after birth using a time-stratified case–crossover design. We observed an association between an increase from the 75th to the 99th percentile in mean temperature 1 week (lag 0–6 d) before childbirth and perinatal mortality (odds ratio (OR) = 1.34 (95% confidence interval …


Exploring Situational And Task-Specific Interaction Experiences Of Interprofessional Collaborative Practice Among Healthcare Professionals, Chia-Lun Lee, Yu-Chih Lin, Ling-Chun Ou, Shu-Yuan Lin Sep 2024

Exploring Situational And Task-Specific Interaction Experiences Of Interprofessional Collaborative Practice Among Healthcare Professionals, Chia-Lun Lee, Yu-Chih Lin, Ling-Chun Ou, Shu-Yuan Lin

Journal of Medical Education

Background: Interprofessional collaborative practice (IPCP) is integral to enhancing healthcare delivery and outcomes, built upon core competencies including communication, teamwork, and professional identity. However, situational factors and task-specific demands significantly influence IPCP implementation, particularly in diverse clinical settings. This descriptive qualitative study explored the interaction experiences and situational professional identity of healthcare professionals (HCPs) engaged in IPCP. Methods: Purposive sampling identified 31 HCPs from 11 disciplines, who participated in four focus group interviews. A semi-structured guide facilitated discussions, and thematic analysis was conducted to identify key themes and subthemes. Results: Three major themes emerged: (1) professional identity embedded in team …


Grmn 311.01: Introduction To German Literature, Marton M. Marko Sep 2024

Grmn 311.01: Introduction To German Literature, Marton M. Marko

University of Montana Course Syllabi, 2021-2025

No abstract provided.


Soci 591.01: Special Topics - Sociology Graduate Proseminar, Mark Heirigs Sep 2024

Soci 591.01: Special Topics - Sociology Graduate Proseminar, Mark Heirigs

University of Montana Course Syllabi, 2021-2025

No abstract provided.


Coun 550.01: Introduction To Family Counseling, Kimberly K. Parrow Sep 2024

Coun 550.01: Introduction To Family Counseling, Kimberly K. Parrow

University of Montana Course Syllabi, 2021-2025

No abstract provided.


Edld 552.50: Supervision And Evaluation Of Public School Educators, William P. Mccaw Sep 2024

Edld 552.50: Supervision And Evaluation Of Public School Educators, William P. Mccaw

University of Montana Course Syllabi, 2021-2025

No abstract provided.