Digital Commons Network^™

Evaluation And Lessons Learned From The Dissemination And Implementation Science Scholars Program In The National Cancer Prevention And Control Research Network, Daniela B. Friedman, Cam Escoffery, Elaine H. Morrato, Cynthia A. Thomson, Courtney N. Petagna, Freda Allyson Hucek, Mary Wangen, Aubrey Villalobos, James R. Hébert Scd, Samuel Noblet, Mayank Sakhuja, David O. Garcia, Jennifer L. Cruz, Stephanie B. Wheeler

Faculty Publications

Background:

The Centers for Disease Control and Prevention (CDC)-funded Cancer Prevention and Control Research Network (CPCRN) has been a leader in cancer-related dissemination & implementation (D&I) science. Given increased demand for D&I research, the CPCRN Scholars Program launched in 2021 to expand the number of practitioners, researchers, and trainees proficient in cancer D&I science methods. Methods:

The evaluation was informed by a logic model and data collected through electronic surveys. Through an application process (baseline survey), we assessed scholars’ competencies in D&I science domains/subdomains, collected demographic data, and asked scholars to share proposed project ideas. We distributed an exit survey …

10.28.2024 Orsp Connect, Liz Williamson

ORED Newsletter

ORSP Name Change

RED Talk

Businesses Invited to a Day With NASA

LINC Door Prize Winners

A Genome-Wide Association Study Identifies Genetic Determinants Of Hemoglobin Glycation Index With Implications Across Sex And Ethnicity, John S. House, Joseph H. Breeyear, Farida S. Akhtari, Violet Evans, John B. Buse, James Hempe, Alessandro Doria, Josyf C. Mychaleckyi, Vivian Fonseca, Mengyao Shi, Changwei Li, Shuqian Liu, Tanika N. Kelly, Daniel Rotroff, Alison A. Motsinger-Reif

School of Medicine Faculty Publications

Introduction: We investigated the genetic determinants of variation in the hemoglobin glycation index (HGI), an emerging biomarker for the risk of diabetes complications. Methods: We conducted a genome-wide association study (GWAS) for HGI in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial (N = 7,913) using linear regression and additive genotype encoding on variants with minor allele frequency greater than 3%. We conducted replication analyses of top findings in the Atherosclerosis Risk in Communities (ARIC) study with inverse variance-weighted meta-analysis. We followed up with stratified GWAS analyses by sex and self-reported race. Results: In ACCORD, we identified single …

Radiomics-Based Machine Learning With Natural Gradient Boosting For Continuous Survival Prediction In Glioblastoma, Mert Karabacak, Shiv Patil, Zachary C. Gersey, Ricardo J. Komotar, Konstantinos Margetis

SKMC Student Presentations and Publications

(1) Background: Glioblastoma (GBM) is the most common primary malignant brain tumor in adults, with an aggressive disease course that requires accurate prognosis for individualized treatment planning. This study aims to develop and evaluate a radiomics-based machine learning (ML) model to estimate overall survival (OS) for patients with GBM using pre-treatment multi-parametric magnetic resonance imaging (MRI). (2) Methods: The MRI data of 865 patients with GBM were assessed, comprising 499 patients from the UPENN-GBM dataset and 366 patients from the UCSF-PDGM dataset. A total of 14,598 radiomic features were extracted from T1, T1 with contrast, T2, and FLAIR MRI sequences …

Ten Challenges And Opportunities In Computational Immuno-Oncology, Riyue Bao, Alan Hutson, Anant Madabhushi, Vanessa D Jonsson, Spencer R Rosario, Jill S Barnholtz-Sloan, Elana J Fertig, Himangi Marathe, Lyndsay Harris, Jennifer Altreuter, Qingrong Chen, James Dignam, Andrew J Gentles, Edgar Gonzalez-Kozlova, Sacha Gnjatic, Erika Kim, Mark Long, Martin Morgan, Eytan Ruppin, David Van Valen, Hong Zhang, Natalie Vokes, Daoud Meerzaman, Song Liu, Eliezer M Van Allen, Yi Xing

Faculty, Staff and Student Publications

Immuno-oncology has transformed the treatment of cancer, with several immunotherapies becoming the standard treatment across histologies. Despite these advancements, the majority of patients do not experience durable clinical benefits, highlighting the imperative for ongoing advancement in immuno-oncology. Computational immuno-oncology emerges as a forefront discipline that draws on biomedical data science and intersects with oncology, immunology, and clinical research, with the overarching goal to accelerate the development of effective and safe immuno-oncology treatments from the laboratory to the clinic. In this review, we outline 10 critical challenges and opportunities in computational immuno-oncology, emphasizing the importance of robust computational strategies and interdisciplinary …

13th International Conference On Business, Technology And Innovation 2024, University For Business And Technology - Ubt

UBT International Conference

Welcome to IC – UBT 2024

UBT Annual International Conference is the 13th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make …

A Call To Action: The Shea Research Agenda To Combat Healthcare-Associated Infections, Jennie H Kwon, Sonali D Advani, Westyn Branch-Elliman, Barbara I Braun, Vincent Chi-Chung Cheng, Kathleen Chiotos, Peggy Douglas, Shruti K Gohil, Sara C Keller, Eili Y Klein, Sarah L Krein, Eric T Lofgren, Katreena Merrill, Rebekah W Moehring, Elizabeth Monsees, Luci Perri, Felicia Scaggs Huang, Mark A Shelly, Felicia Skelton, Emily S Spivak, Pranavi V Sreeramoju, Katie J Suda, Joseph Y Ting, Gregory David Weston, Mohamed H Yassin, Matthew J Ziegler, Lona Mody

Faculty, Staff and Students Publications

No abstract provided.

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Professional Development: A Mixed Methods Study Of Masters Of Public Health Alumni, Orna Baron-Epel, Yana Douvdevany, Dana Ivancovsky-Wajcman, Paul Barach, Osnat Bashkin, Katarzyna Czabanowska, Keren Dopelt, Nadav Davidovitch, Szczepan Jakubowski, Fiona Macleod, Maureen Malowany, Leah Okenwa-Emegwa, Maya Peled-Raz, Shira Zelber-Sagi

College of Population Health Faculty Papers

INTRODUCTION: We examined the perceptions of the Master of Public Health (MPH) degree graduates regarding their personal competencies, job performance and professional development using a mixed method, explanatory sequential design.

METHODS: A cross-sectional, self-administered questionnaire of the Haifa School of Public Health alumni who graduated between 2005 and 2022 was disseminated to 849 graduates between March and June 2022, from which 127 responded (response rate: 14.90%). This was followed by 24 in-depth interviews with alumni from the same sample (conducted between November 2022 and March 2023).

RESULTS: The sample included 74.8% of females with a mean age of 40.7 years, …

Fabrication And Optimization Of A Silodosin In Situ-Forming Plga Implants For The Treatment Of Benign Prostatic Hyperplasia: In Vitro And In Vivo Study, Eman Gomaa

Nanotechnology Research Centre

Lower urinary tract symptoms (LUTSs) related to benign prostatic hyperplasia (BPH) are common in older men, and alpha-adrenoceptor blockers continue to be a key part of managing these symptoms. This study aimed to formulate injectable poly (lactic-co-glycolic acid) (PLGA) in situ-forming implants (ISFIs) loaded with silodosin (SLD) to address symptoms associated with BPH. This method, which ensures prolonged therapeutic effects of SLD, is intended to decrease dosing frequency and improve treatment outcomes, leading to better patient adherence. Methods: An appropriate solvent with favorable PLGA solubility, viscosity, and in vitro release profile was selected. Additionally, an I-optimal design was employed as …

A Trans-Theoretical Systematization Of Clinical Interventions Based On Dynamical Systems Research (Dsr), Giulio De Felice, David Pincus

Psychology Faculty Articles and Research

The scientific literature focused on the categorization of therapists’ interventions in clinical sessions, and their effects on patients, is not very extensive and often autoreferential. The most relevant findings clearly show the eclecticism of clinicians, grounding only 10–14% of their interventions on the specific theoretical approach to which they belong. Despite that, a trans-theoretical systematization of clinical interventions is lacking. The present work aims to verify the feasibility of a trans-theoretical categorization of clinical interventions based on Dynamical Systems Research in psychotherapy (DSR). For this purpose, the authors present the results of three literature reviews. The first sections of this …

10.21.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Jerry Martin

NIH Grants Process Primer Training

Nature Masterclasses Writing a Review Paper Course

Α4 Nicotinic Acetylcholine Receptors In Lipopolysaccharide-Related Lung Inflammation, J. Ritzenthaler, Walter H. Watson, Jesse Roman

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

Sepsis remains an important healthcare challenge. The lungs are often affected in sepsis, resulting in acute lung injury characterized by inflammation. Mechanisms involving lipopolysaccharide (LPS) stimulation of toll-like receptor (TLR) signaling with induction of proinflammatory pathways have been implicated in this process. To date, however, studies targeting these pathways have failed to improve outcomes. We have found that LPS may also promote lung injury through the activation of α4 nicotinic acetylcholine receptors (α4 nAChRs) in immune cells. We observed increased expression of α4 nAChRs in human THP-1 monocytic cells exposed to LPS (100 ng/mL, 24 h). We also observed that …

Temporal Variations In And Predictive Values Of Abg Results Prior To In-Hospital Cardiac Arrest, Mina Attin, Jie Rin, Chad Cross, Sidath Kapukotuwa, Ryan Shao, Peter G. Kaufmann, C.D. (Joey) Lin, Kim Arcoleo

Nursing Faculty Research

In-hospital cardiac arrest (IHCA) has been understudied relative to out-of-hospital cardiac arrest. Further, studies of IHCA have mainly focused on a limited number of pre-arrest patient characteristics (e.g., demographics, number and types of comorbidities). Arterial blood gas (ABG) analysis, one of the most common diagnostic tests for assessing and managing critically or acutely ill hospitalized patients, reflects pathophysiological changes associated with adverse events or complications, including IHCA. Yet the predictive and prognostic values of patterns of pre-arrest ABG parameters for IHCA have not been fully studied. The purpose of this retrospective pilot cohort study was to investigate temporal variations in …

Editorial: Exploring The Potential Of Nanobiomaterials In Biomedical Engineering: Assessing Biocompatibility, Toxicity, And Future Prospects, Narsimha Mamidi, Ebrahim Mostafavi, Murali M. Yallapu

School of Medicine Publications

No abstract provided.

Characterizing The Progression From Mild Cognitive Impairment To Dementia: A Network Analysis Of Longitudinal Clinical Visits, Muskan Garg, Sara Hejazi, Sunyang Fu, Maria Vassilaki, Ronald C Petersen, Jennifer St Sauver, Sunghwan Sohn

Faculty, Staff and Student Publications

Background: With the recent surge in the utilization of electronic health records for cognitive decline, the research community has turned its attention to conducting fine-grained analyses of dementia onset using advanced techniques. Previous works have mostly focused on machine learning-based prediction of dementia, lacking the analysis of dementia progression and its associations with risk factors over time. The black box nature of machine learning models has also raised concerns regarding their uncertainty and safety in decision making, particularly in sensitive domains like healthcare.

Objective: We aimed to characterize the progression of health conditions, such as chronic diseases and neuropsychiatric symptoms, …

Examining The Relationship Between Employment And Health Status Among Adults With Autism Spectrum Disorder (Asd) In The United States, Winifred Beckles

Walden Dissertations and Doctoral Studies

Autism spectrum disorder (ASD), characterized by challenges in social communication and repetitive behaviors, is a developmental disability that impacts over five million adults in the United States. Despite the significant amount of research literature on the association between health and employment in the general population, there remains a gap in research on the relationship between health and employment in adults with autism. Utilizing the Social Ecological Model (SEM) framework, this study examined whether there is a relationship between employment, current living status, non-paid activities, United States Census regions, type of health insurance, and health status when controlling for age, race, …

Artificial Intelligence And Machine Learning In Ocular Oncology, Retinoblastoma (Armor): Experience With A Multiracial Cohort, Vijitha S. Vempuluru, Rajiv Viriyala, Virinchi Ayyagari, Komal Bakal, Patanjali Bhamidipati, Krishna Krishore Dhara, Sandor R. Ferenczy, Carol L. Shields, Swathi Kaliki

Wills Eye Hospital Papers

Background: The color variation in fundus images from differences in melanin concentrations across races can affect the accuracy of artificial intelligence and machine learning (AI/ML) models. Hence, we studied the performance of our AI model (with proven efficacy in an Asian-Indian cohort) in a multiracial cohort for detecting and classifying intraocular RB (iRB). Methods: Retrospective observational study. Results: Of 210 eyes, 153 (73%) belonged to White, 37 (18%) to African American, 9 (4%) to Asian, 6 (3%) to Hispanic races, based on the U.S. Office of Management and Budget's Statistical Policy Directive No.15 and 5 (2%) had no reported race. …

Exploring The Association Between Parenting Stress And A Child’S Exposure To Positive Childhood Experiences (Pces), Elizabeth Crouch Ph.D., Elizabeth Radcliff, Monique J. Brown Ph.D., Mph, Peiyin Hung Ph.D

Faculty Publications

High levels of parenting stress, defined as a caregiver or parent feeling stress or aggravation from parenting, has been previously shown to be associated with an increased likelihood of neglect, child maltreatment, and household dysfunction: adverse childhood experiences (ACEs). Despite the potential mitigation of positive childhood experiences (PCEs) on ACEs, prior studies on the increased likelihood of a child experiencing ACEs due to parenting stress have left a critical question unanswered: whether high parenting stress may decrease a child’s likelihood of experiencing PCEs. We analyzed the 2019–2020 National Survey of Children’s Health to examine whether higher levels of parenting stress …

Media Framing Of Environmental Issues In Jordanian Digital Newspapers, Ramez Abuhasirah, Rasha Salameh

This study investigated media framing of environmental issues in Jordanian digital newspapers. The study employed a media survey approach with content analysis of 335 journalistic articles published on the websites of three major Jordanian newspapers (Al-Ghad, Al-Dustour, Al-Rai) from January 1, 2022, to June 30, 2022. Multi-stage sampling ensured representativeness. Results showed all three Jordanian digital newspapers addressed environmental issues, with Al-Ghad leading (40%), followed by Al-Dustour (31%) and Al-Rai (29%). The study found a diversity of sources in journalistic treatment (officials: 29%, news agencies: 18.5%, journalists: 12.8%). Climate change (23.1%), water resources (17.3%), and food security (14.1%) were the …

University Students' Reliance In Hebron Governorate On Social Media As A Source Of Information About The October 7, 2023 War: A Field Study, Asmaa Musa Al-Adam, Sulaika Muhammad Al-Qadi

The study aimed to determine the extent to which university students in Hebron Governorate rely on social media platforms for coverage of the October 7th war. This study follows descriptive research, using a media audience survey methodology. Data were collected using a questionnaire administered to a random sample of university students in Hebron Governorate, consisting of 211 students. The study reached several conclusions most notably: that the reliance of university students in Hebron Governorate on social media to follow news about the war on Gaza is high, with a percentage of 69.5%. The study also showed that there are cognitive, …

Immuneapp For Hla-I Epitope Prediction And Immunopeptidome Analysis, Haodong Xu, Ruifeng Hu, Xianjun Dong, Lan Kuang, Wenchao Zhang, Chao Tu, Zhihong Li, Zhongming Zhao

Faculty, Staff and Student Publications

Advances in mass spectrometry accelerates the characterization of HLA ligandome, necessitating the development of efficient methods for immunopeptidomics analysis and (neo)antigen prediction. We develop ImmuneApp, an interpretable deep learning framework trained on extensive HLA ligand datasets, which improves the prediction of HLA-I epitopes, prioritizes neoepitopes, and enhances immunopeptidomics deconvolution. ImmuneApp extracts informative embeddings and identifies key residues for pHLA binding. We also present a more accurate model-based deconvolution approach and systematically analyzed 216 multi-allelic immunopeptidomics samples, identifying 835,551 ligands restricted to over 100 HLA-I alleles. Our investigation reveals the effectiveness of the composite model, denoted as ImmuneApp-MA, which integrates mono- …

Social Isolation And Loneliness Prevention Among Rural Older Adults Aging-In-Place: A Needs Assessment, Jodi L. Southerland, Shimin Zheng, Kayla Dodson, Erin Mauck, Juanita-Dawne R. Bacsu, Monique J. Brown Ph.D., Mph, Jeremy Holloway, Steffi M. Kim, Ayse Malatyali, Matthew Lee Smith

Faculty Publications

Introduction: The adverse effects of social isolation and loneliness (SI/L) have been documented among older adults in rural communities and contribute to poor health outcomes, premature disability and mortality, and increased burden on the healthcare system. The identification of factors contributing to SI/L among older adults can build the foundation for rural policymakers and leaders to allocate resources and develop tailored strategies more efficiently. The purpose of this article is to describe findings from a needs assessment designed to understand local factors that contribute to SI/L among rural older adults in a county in Northeast Tennessee. Findings from the needs …

Essays On Information Technology In Healthcare, Gleb Zavadskiy

USF Tampa Graduate Theses and Dissertations

Information technologies (IT) and information systems (IS) have profound significance across various sectors of society, including healthcare, business, education, government, and beyond. First, IT facilitates instant communication globally through email, messaging apps, video conferencing, and social media, revolutionizing how individuals and organizations interact, collaborate, and share information (Hacker et al. 2020; Tang and Hew 2020).

Secondly, the Internet and digital libraries provide worldwide access to vast amounts of information, what makes knowledge and education available to everyone, empowering individuals to learn and stay informed on diverse topics (Haleem et al. 2022). Another aspect of IT systems in various industries is …