Digital Commons Network^™

Driving Healthy Behaviors Through Social Support: The Role Of Co-Responsibility In Weight Loss And Maintenance, Melanie Knufinke-Meyfroyt, Carlo Lancia, Yentl Lodewijks, Simon Nienhuijs, Eva Deckers

Patient Experience Journal

Objective: The effectiveness of out of hospital lifestyle interventions in healthcare is likely co-dependent on social support from involved one's. We sought to investigate the interrelationships between patient-partner Co-responsibility, Spousal Support, and Self-efficacy and the mechanisms through which they contribute to health behaviors and outcomes relevant to weight loss and maintenance. Methods: Co-responsibility, Spousal Support, self-efficacy, health outcomes and health behaviors like total weight loss, physical activity, OBESI-Q, and health satisfaction were assessed through a questionnaire among 868 individuals attempting to lose weight. Full and semi-partial correlations were used to understand the association between Co-responsibility, Spousal Support, Self-efficacy …

The "Ableism'' Behind Mental Health Professionals' Perceptions Of Support, Hideki Muramatsu

Patient Experience Journal

This paper presents the personal narrative of the author, an individual who has experienced personal and clinical recovery from mental health difficulties. Diagnosed with a mental disorder (NEUROTIC; ICD-10) during my university years, I endured cognitive dysfunction, panic disorder, derangement of ego, suicidal ideation, and depression. Despite these challenges, I have actively engaged in social skills training, supervised virtual reality content, led self-help groups, and published papers on my experiences. I will discuss my own experiences as an expert-by-experience and describe the tendencies of professional ableism consciousness that I encountered during my journey of recovery. Through the lens of my …

Detecting Changes In Cancer-Related Cognitive Functioning Using Mixed-Effects Modeling And Study Design Simulations, Jonathan D. Clapp

USF Tampa Graduate Theses and Dissertations

The purpose of this dissertation is to utilize and compare two existing approaches for modeling nonlinear change in cognitive functioning in cancer patients over time and to assess alternative study designs to better capture chemotherapy-related cognitive impairment using simulation data. Using data from the Thinking and Living with Cancer study, trend analysis with orthogonal polynomials (OP) and piecewise (PW) regressions approaches used to analyze cognitive functioning trajectories. Simulated datasets tested the impact of study design parameters including measurement test-retest reliability (.6 or .8), sample size (100, 200, or 300), and the number of data collection time points (4 or 5) …

Dilated Cardiomyopathy-Associated Skeletal Muscle Actin (Acta1) Mutation R256h Disrupts Actin Structure And Function And Causes Cardiomyocyte Hypocontractility, Ankit Garg, Silvia Jansen, Lina Greenberg, Rui Zhang, Kory J Lavine, Michael J Greenberg

2020-Current year OA Pubs

Skeletal muscle actin (ACTA1) mutations are a prevalent cause of skeletal myopathies consistent with ACTA1's high expression in skeletal muscle. Rare de novo mutations in ACTA1 associated with combined cardiac and skeletal myopathies have been reported, but ACTA1 represents only ~20% of the total actin pool in cardiomyocytes, making its role in cardiomyopathy controversial. Here we demonstrate how a mutation in an actin isoform expressed at low levels in cardiomyocytes can cause cardiomyopathy by focusing on a unique ACTA1 variant, R256H. We previously identified this variant in a family with dilated cardiomyopathy, who had reduced systolic function without clinical skeletal …

Shifting Employment And Perceptions Of Household Responsibilities During Early Stages Of The Covid-19 Pandemic In Nevada, Usa, Courtney Coughenour, Lung-Chang Chien, Brian Labus, Maxim Gakh, Pashtana Usufzy

School of Public Health Faculty Research

Background: Employment and household responsibility are critical health determinants. The COVID-19 pandemic altered the work and social landscapes in Nevada, USA through closures of workplaces and schools/childcare centers, changing patterns of employment, and household responsibilities. This study aimed to measure changes in employment status and perceived housework responsibilities among Nevada adults in December 2020, before widespread availability of COVID-19 vaccines in a pandemic-affected economy.

Methods: Using a cross-sectional telephone survey of 1,000 Nevada adults, this study compared respondent experiences and perceptions of employment and time spent on housework in December 2020 to pre-pandemic using multinominal logistic, proportional odds, and logistic …

11.11.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Radiation Safety Committee Updates

Getting Started with PIVOT_RP

Small Grants Program

Leveraging Quantitative Systems Pharmacology For Dose Optimization In Oncology Drug Development, Blerta Shtylla

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Kreig: Gaining Insight Into Epidemics Through Use Of Mathematical Modeling, Christina Edholm

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Early Ctdna Kinetics As A Dynamic Biomarker Of Cancer Treatment Response, Aaron Li, Emil Lou, Kevin Leder, Jasmine Foo

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Study Of Different Treatment Strategies In Epidemic Models Using Nonlinear Model Predictive Control, Hector Puebla, Luis A. Ricardez-Sandoval, Priti Kumar Roy

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Simulating Interventions To Improve Reproducibility In Scientific Publications, Ben G. Fitzpatrick

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Network Analysis Of Progress In Mathematics Research, Anna Singley

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Predicting And Monitoring Immune Checkpoint Inhibitor Therapy Using Artificial Intelligence In Pancreatic Cancer, Guangbo Yu, Zigeng Zhang, Aydin Eresen, Qiaoming Hou, Farideh Amirrad, Sha Webster, Surya M. Nauli, Vahid Yaghmai, Zhuoli Zhang

Pharmacy Faculty Articles and Research

Pancreatic cancer remains one of the most lethal cancers, primarily due to its late diagnosis and limited treatment options. This review examines the challenges and potential of using immunotherapy to treat pancreatic cancer, highlighting the role of artificial intelligence (AI) as a promising tool to enhance early detection and monitor the effectiveness of these therapies. By synthesizing recent advancements and identifying gaps in the current research, this review aims to provide a comprehensive overview of how AI and immunotherapy can be integrated to develop more personalized and effective treatment strategies. The insights from this review may guide future research efforts …

Improving Infectious Disease Predictions Through The Use Of Metapopulation Sir Modeling And Graph Convolutional Neural Networks, Petr Kisselev, Padmanabhan Seshaiyer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Enhancing Data Standards To Advance Translation In Spinal Cord Injury, Vanessa K. Noonan, Suzanne Humphreys, Fin Biering-Sørensen, Susan Charlifue, Yuying Chen, James D. Guest, Linda A. T. Jones, Jennifer French, Eva Widerström-Noga, Vance P. Lemmon, Allen W. Heinemann, Jan M. Schwab, Aaron A. Phillips, Marzieh M. Rizi, John L. K. Kramer, Catherine R. Jutzeler, Abel Torres-Espin

Department of Physical Therapy Faculty Papers

Data standards are available for spinal cord injury (SCI). The International SCI Data Sets were created in 2002 and there are currently 27 freely available. In 2014 the National Institute of Neurological Disorders and Stroke developed clinical common data elements to promote clinical data sharing in SCI. The objective of this paper is to provide an overview of SCI data standards, describe learnings from the traumatic brain injury (TBI) field using data to enhance research and care, and discuss future opportunities in SCI. Given the complexity of SCI, frameworks such as a systems medicine approach and Big Data perspective have …

Student Perceptions Of A Novel No-Cost Mobile Application For Ophthalmic History And Physical Examination, Soryan Kumar, Anagha Lokhande, Spandana Jarmale, Arnav Kumar, Samantha Rosenthal, Grayson W. Armstrong, Michael Migliori, Jamie Schaefer

Journal of Academic Ophthalmology

Background: Mobile applications have shown promise in enhancing medical trainee performance. In ophthalmology, a comprehensive mobile app can streamline the trainee education process by providing guidance for patient intake. Language barriers pose additional challenges impacting the quality of care for Spanish-speaking patients; literature has documented the adverse impacts of inadequate translation on quality of medical care for both trainees and patients. We aim to develop a free mobile application to guide medical trainees through the ophthalmic patient intake process and assist with Spanish-language translation.

Methods: We developed EyeCheck as a free mobile application for ophthalmology trainee education with …

I’Ll Just Weight On The Lord: The Lived Experience Of Obesity, Spirituality, And Health Behaviors In African American Women, Andrea S. Poynter, Florence M. Weierbach

International Journal of Faith Community Nursing

Obesity is one of the fastest growing health concerns impacting all racial, ethnic, gender, and socioeconomic groups in the United States of America. Obesity has gained nationwide attention due to its health-related disorders such as heart disease, stroke, diabetes, and various cancer types that increase the annual medical cost on a financially stressed health system (Centers for Disease Control and Prevention (CDC), 2022). Obesity has reached epidemic proportions in all races and genders within the US with African American women comprising a majority of those impacted by this chronic health condition (U.S. Department of Health and Human Services Offices of …

Estimating The Number Of Polygenic Diseases Among Six Mutually Exclusive Entities Of Non-Tumors And Cancer, C I Edvard Smith, Jan A Burger, Rula Zain

Faculty, Staff and Student Publications

In the era of precision medicine with increasing amounts of sequenced cancer and non-cancer genomes of different ancestries, we here enumerate the resulting polygenic disease entities. Based on the cell number status, we first identified six fundamental types of polygenic illnesses, five of which are non-cancerous. Like complex, non-tumor disorders, neoplasms normally carry alterations in multiple genes, including in 'Drivers' and 'Passengers'. However, tumors also lack certain genetic alterations/epigenetic changes, recently named 'Goners', which are toxic for the neoplasm and potentially constitute therapeutic targets. Drivers are considered essential for malignant transformation, whereas environmental influences vary considerably among both types of …

Lactobacillus Rhamnosus Modulates Murine Neonatal Gut Microbiota And Inflammation Caused By Pathogenic Escherichia Coli., Hao Xuan, Shahid Umar, Cuncong Zhong, Wei Yu, Ishfaq Ahmed, Joshua Wheatley, Venkatesh Sampath, Susana Chavez-Bueno

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Pathogenic Escherichia coli strains produce neonatal septicemia after colonizing the neonatal gut. While the probiotic Lactobacillus rhamnosus GG (LGG) effectively reduces neonatal sepsis, LGG's effects on the neonatal intestinal microbiota alterations and inflammation triggered by E. coli are incompletely understood. We hypothesized that LGG significantly modulates the specific neonatal gut microbial populations changes and the inflammatory response elicited by the enteral introduction of septicemia-producing E. coli. To test this hypothesis, newborn rats were pretreated orally with LGG or placebo prior to infection with the neonatal E. coli septicemia clinical isolate SCB34. Amplicon 16S rRNA gene sequencing was performed on …

11.04.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Small Grant Program for Faculty

Mid-South REACH Product Dev Grant

NSF Virtual Grants Conference

Data-Driven Cutoff Selection For The Patient Health Questionnaire-9 Depression Screening Tool, Brooke Levis, Parash Mani Bhandari, Dipika Neupane, Suiqiong Fan, Ying Sun, Chen He, Yin Wu, Ankur Krishnan, Zelalem Negeri, Mahrukh Imran, Danielle B Rice, Kira E Riehm, Marleine Azar, Alexander W Levis, Jill Boruff, Pim Cuijpers, Simon Gilbody, John P A Ioannidis, Lorie A Kloda, Scott B Patten, Roy C Ziegelstein, Daphna Harel, Yemisi Takwoingi, Sarah Markham, Sultan H Alamri, Dagmar Amtmann, Bruce Arroll, Liat Ayalon, Hamid R Baradaran, Anna Beraldi, Charles N Bernstein, Arvin Bhana, Charles H Bombardier, Ryna Imma Buji, Peter Butterworth, Gregory Carter, Marcos H Chagas, Juliana C N Chan, Lai Fong Chan, Dixon Chibanda, Kerrie Clover, Aaron Conway, Yeates Conwell, Federico M Daray, Janneke M De Man-Van Ginkel, Jesse R Fann, Felix H Fischer, Sally Field, Jane R W Fisher, Daniel S S Fung, Bizu Gelaye, Leila Gholizadeh, Felicity Goodyear-Smith, Eric P Green, Catherine G Greeno, Brian J Hall, Liisa Hantsoo, Martin Härter, Leanne Hides, Stevan E Hobfoll, Simone Honikman, Thomas Hyphantis, Masatoshi Inagaki, Maria Iglesias-Gonzalez, Hong Jin Jeon, Nathalie Jetté, Mohammad E Khamseh, Kim M Kiely, Brandon A Kohrt, Yunxin Kwan, Maria Asunción Lara, Holly F Levin-Aspenson, Shen-Ing Liu, Manote Lotrakul, Sonia R Loureiro, Bernd Löwe, Nagendra P Luitel, Crick Lund, Ruth Ann Marrie, Laura Marsh, Brian P Marx, Anthony Mcguire, Sherina Mohd Sidik, Tiago N Munhoz, Kumiko Muramatsu, Juliet E M Nakku, Laura Navarrete, Flávia L Osório, Brian W Pence, Philippe Persoons, Inge Petersen, Angelo Picardi, Stephanie L Pugh, Terence J Quinn, Elmars Rancans, Sujit D Rathod, Katrin Reuter, Alasdair G Rooney, Iná S Santos, Miranda T Schram, Juwita Shaaban, Eileen H Shinn, Abbey Sidebottom, Adam Simning, Lena Spangenberg, Lesley Stafford, Sharon C Sung, Keiko Suzuki, Pei Lin Lynnette Tan, Martin Taylor-Rowan, Thach D Tran, Alyna Turner, Christina M Van Der Feltz-Cornelis, Thandi Van Heyningen, Paul A Vöhringer, Lynne I Wagner, Jian Li Wang, David Watson, Jennifer White, Mary A Whooley, Kirsty Winkley, Karen Wynter, Mitsuhiko Yamada, Qing Zhi Zeng, Yuying Zhang, Brett D Thombs, Andrea Benedetti, Depression Screening Data (Depressd) Phq Group

Faculty, Staff and Students Publications

IMPORTANCE: Test accuracy studies often use small datasets to simultaneously select an optimal cutoff score that maximizes test accuracy and generate accuracy estimates.

OBJECTIVE: To evaluate the degree to which using data-driven methods to simultaneously select an optimal Patient Health Questionnaire-9 (PHQ-9) cutoff score and estimate accuracy yields (1) optimal cutoff scores that differ from the population-level optimal cutoff score and (2) biased accuracy estimates.

DESIGN, SETTING, AND PARTICIPANTS: This study used cross-sectional data from an existing individual participant data meta-analysis (IPDMA) database on PHQ-9 screening accuracy to represent a hypothetical population. Studies in the IPDMA database compared participant PHQ-9 …

On The Role Of Prediction In Streaming Hierarchical Learning, Ramy Mounir

USF Tampa Graduate Theses and Dissertations

In today's world, AI systems need to make sense of large amounts of data as it unfolds in real-time, whether it's a video from surveillance and monitoring cameras, streams of egocentric footage, or sequences in other domains such as text or audio. The ability to break these continuous data streams into meaningful events, discover nested structures, and predict what might happen next at different levels of abstraction is crucial for applications ranging from passive surveillance systems to sensory-motor autonomous learning. However, most existing models rely heavily on large, annotated datasets with fixed data distributions and offline epoch-based training, which makes …

2024-25 Women In Science Conference Schedule (Pdf), Lynn University

Women in Science Conference

2024-25 Women in Environmental Science Conference Schedule (PDF)

Peptide Receptor Radionuclide Therapy And Clinical Associations With Renal And Hematological Toxicities And Survival In Patients With Neuroendocrine Tumors: An Analysis From Two U.S. Medical Centers, Tao Xu, Joseph S. Dillon, Mary A. Maluccio, Dawn E. Quelle, Sarah H. Nash, Hyunkeun Cho, Kristen E. Limbach, Nicholas J. Skill, Yvette Bren-Mattison, Michael A. O’Rorke

School of Medicine Faculty Publications

Purpose: Renal and hematological toxicity are side effects and dose-limiting factors of Peptide Receptor Radionuclide Therapy (PRRT). We aimed to assess the changes in renal and hematological function and associations with survival in neuroendocrine tumor (NET) patients treated with PRRT. Methods: A retrospective cohort of 448 NET patients treated with either 177Lu-DOTATATE or 90Y-DOTATOC were followed for changes of renal and hematological function. Renal function was assessed by monitoring changes in serum creatinine, blood urea nitrogen and estimated glomerular filtration rate. Hematological function was determined by examining changes in white blood cell counts (WBC), platelet counts, and hemoglobin levels over …

Proceedings From The Fifth Annual For Society For Sports Neuroscience Conference, Neurosports Editorial Staff

Journal for Sports Neuroscience

Proceedings from the Fifth Annual for Society for Sports Neuroscience Conference

Using Causal Diagrams Within The Grading Of Recommendations, Assessment, Development And Evaluation Framework To Evaluate Confounding Adjustment In Observational Studies, Kevin Mcintyre, Karina N Tassiopoulos, Curtis Jeffrey, Saverio Stranges, Janet Martin

Epidemiology and Biostatistics Publications

BACKGROUND AND OBJECTIVES: The current Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system instructs appraisers to evaluate whether individual observational studies have sufficiently adjusted for confounding. However, it does not provide an explicit, transparent, or reproducible method for doing so. This article explores how implementing causal graphs into the GRADE framework can help appraisers and end-users of GRADE products to evaluate the adequacy of confounding control from observational studies.

METHODS: Using modern epidemiological theory, we propose a system for incorporating causal diagrams into the GRADE process to assess confounding control.

RESULTS: Integrating causal graphs into the GRADE framework enables …

2024 - The Fifth Annual Fall Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the Fall 2024 Symposium of Student Scholars, held in November 2024. Includes abstracts from the presentations and posters.

Regulating Adaptive Medical Artificial Intelligence: Can Less Oversight Lead To Greater Compliance?, Jiayi Lai, Liang Xu, Xin Fang, Tinglong Dai

Research Collection Lee Kong Chian School Of Business

As of June 2024, the U.S. Food and Drug Administration (FDA) has approved 950 medical artificial intelligence (AI) devices. The current regulatory framework freezes AI algorithms after approval, requiring new submissions for updates to ensure compliance with Good Machine Learning Practices (GMLP). This approach imposes a significant administrative burden, while hindering the ability of AI algorithms to learn from new data. To address these challenges, the FDA has explored a novel pathway known as Predetermined Change Control Plans (PCCP), allowing developers to outline future changes during initial submissions and exempting approved changes from regulatory review. Yet, the impact of this …

Association Of Chronic Malnutrition, And Not Anemia, With Cognitive Development In Ethiopian Schoolchildren: A Cross-Sectional Study, Befikadu Tariku Gutema, Muluken Bekele Sorrie, Sifray Batire, Tadiwos Hailu Zewdie, Bruno Levecke, Amina Abubakar, Stefaan De Henauw, Souheila Abbeddou

Institute for Human Development, East Africa

This study assesses the associations between nutritional statusand cognitive development of schoolchildren. A unit increase inheight-for-age Z-score was associated with 0.12 SD, 0.08 SD and0.12 SD increase in standardized digit span, Raven’s coloredprogressive metrics, and performance index of visual searchtask, respectively. A unit increase in body-mass-index-for-ageZ-score was associated with 0.11 SD increase in standardizeddigit span. Hemoglobin concentration was not associated withany of the cognitive outcomes. Chronic malnutrition was asso-ciated with cognitive development in schoolchildren while thin-ness and hemoglobin concentrations were associated withselected or no cognitive outcomes, respectively.

Left, Then Right Internal Carotid Artery Dissection: A Case Report, Jeffrey M. Kalczynski, John Douds, Michael E. Silverman

SKMC Student Presentations and Publications

INTRODUCTION: We present a unique case of a patient who presented to the emergency department with stroke-like symptoms found to have a spontaneous, left-sided internal carotid artery dissection (ICAD).

CASE REPORT: The patient was treated successfully with thrombectomy and subsequently developed contralateral symptoms caused by a right-sided ICAD. This was managed with a second contra-lateral thrombectomy. The patient's course was complicated by persistent and mild hypotension, postulated to be secondary to bilateral carotid baroreceptor trauma from the dissections.

CONCLUSION: This case highlights the importance of close neurological monitoring for patients, preferably in a neurologic critical care setting, during and after …