Digital Commons Network^™

Encapsulation Of Cannabidiol In Chitosan-Stabilized Argan Oil Nanoemulsion As A Potential Dermal Drug Delivery System For Psoriasis Treatment, Yousra Mdarhri, Vinicius De-Monte-Vidal, Camila De-Almeida-Perez-Pimenta, Selene Cuello-Rodríguez, Ahmed Touhami, Fakhita Touhami, Mohamed Chabbi, Victoria Díaz-Tomé

Physics & Astronomy Faculty Publications

Background: Cannabidiol (CBD), a non-psychoactive compound derived from Cannabis sativa, exhibits therapeutic potential for various conditions, including inflammation, pain, and skin disorders, making it a promising candidate for the topical treatment of psoriasis. However, its poor water solubility and instability limit its therapeutic efficacy. This study focuses on the development and characterization of CBD-loaded nanoemulsions using argan oil as the lipid phase, with and without a chitosan coating, which serves as a stabilizing and functional biopolymer. Methods: Nanoemulsions (NE) and chitosan-stabilized nanoemulsions (CS-NE), both without CBD (serving as controls), and CBD-loaded variants (CBD-NE and CBD-CS-NE) were prepared and characterized for …

Algorithmic Opacity In Opioid Risk Scoring And The Need For Transparent Ai Regulation, Sherry Yun Wang, Ryan Stofer, Zhouzhou Chu, Xiao Huang, Ang Li

Pharmacy Faculty Articles and Research

NarxCare®, a proprietary opioid risk scoring system embedded in Prescription Drug Monitoring Programs (PDMPs), has generated significant patient complaints. We adhered to the technical specifications and applied them to PDMP and IQVIA PharMetrics® Plus Closed Health Plan claims database. Despite adding socioeconomic covariates, precision (0.01–0.32) was far below the reported benchmark of 0.75, and F1 scores (0.02–0.39) were also substantially lower than the benchmark value of 0.65, across all our reconstructed models.

Hybrid Vision Transformer–Cnn Framework For Alzheimer’S Disease Cell Type Classification: A Comparative Study With Vision–Language Models, Md Easin Hasan, Md Tahmid Hasan Fuad, Omar Sharif, Amy Wagler

School of Mathematical & Statistical Sciences Faculty Publications

Accurate identification of Alzheimer’s disease (AD)-related cellular characteristics from microscopy images is essential for understanding neurodegenerative mechanisms at the cellular level. While most computational approaches focus on macroscopic neuroimaging modalities, cell type classification from microscopy remains relatively underexplored. In this study, we propose a hybrid vision transformer–convolutional neural network (ViT–CNN) framework that integrates DeiT-Small and EfficientNet-B7 to classify three AD-related cell types—astrocytes, cortical neurons, and SH-SY5Y neuroblastoma cells—from phase-contrast microscopy images. We perform a comparative evaluation against conventional CNN architectures (DenseNet, ResNet, InceptionNet, and MobileNet) and prompt-based multimodal vision–language models (GPT-5, GPT-4o, and Gemini 2.5-Flash) using zero-shot, few-shot, and chain-of-thought …

Trends In Self-Reported Responses To Nutrition Facts Labels Before And After Nutrition Labeling Policy Implementation: A Comparison Of Adults In The United States And Mexico, Jim Thrasher Ph.D., Ma, Ms, Victor Vilalobos, Dai Fang, Alejandra Jáuregui, Alejandra Contreras-Manzano, Rachel Davis Ph.D., Lana Vanderlee, Christine M. White, Rachel B. Acton, James W. Hardin, Edward A. Frongillo Jr. Ph.D., Simón Barquera, David Hammond

Faculty Publications

Background

Objectives

Methods

Advances In Hpv Vaccination In People Living With Hiv: A Review, Megan Mooberry, J Brooks Jackson, Mary B Rysavy

Faculty, Staff and Student Publications

Human papillomavirus (HPV) is the most common sexually transmitted infection worldwide and is a leading cause of cervical, anal, penile, and oropharyngeal cancers. This review summarizes the epidemiology of HPV and the immunogenicity, clinical efficacy, and current HPV vaccination recommendations among people living with HIV (PLWH). PLWH experience a disproportionate burden of HPV-related infection and HPV-related malignancies. Although HPV vaccines have been shown to be highly effective, vaccination coverage among PLWH remains suboptimal, particularly in low- and middle-income countries. Barriers to vaccination include extended dosing schedules, limited awareness of the vaccine, and misinformation. Evidence indicates HPV vaccines are safe and …

Gender Differences In College Students’ Physical Activity Self-Efficacy, Social Comparison Beliefs, And External Frames Of Reference, Ken Murfay, Sarah Pyszczynski, Sarah Collins

International Journal of Physical Activity and Health

This study examined whom college-aged individuals believe observing would more likely increase their physical activity self-efficacy (PASE) for a physical skill, whom they are more likely to compare their abilities to within a physical education (PE) class, how often they compare themselves to others in PE, and what students’ PASE scores were. Based on the mean scores for each question, students were more likely to compare themselves to a student than a teacher, friend than a non-friend, and similar or higher skilled peer than a lower skilled peer. To increase students’ confidence for a physical skill, students had higher levels …

External Validation Of The Proliferation Saturation Index Model In Predicting Tumour Volume Regression In Patients With Non-Small Cell Lung Cancer Undergoing Radiation Therapy, Sarah Barrett, Mohammad Zahid, Conor K Mcgarry, Heiko Enderling, Gerard M Walls, Laure Marignol

Faculty, Staff and Student Publications

Background: The Proliferation Saturation Index (PSI) model is a patient-specific mathematical model designed to simulate and predict tumour volume regression (TVR) during radiation therapy (RT) using early treatment response dynamics. This study validates the PSI model in an independent external cohort of patients with non-small cell lung cancer (NSCLC) using previously derived model parameters.

Methods: In a cohort of 71 patients, treated with definitive RT alone (55Gy/20#) tumour volume measurements extracted from 6 Cone Beam CT (CBCT) scans acquired on days 1, 2 and 3 and weekly thereafter. Model predictions of TVR at final CBCT (CBCT6) were made using tumour …

A Transcriptional Program Associated With Neurotransmission In The Living Human Brain, Alexander W. Charney, Lora E. Liharska, Eric Vornholt, Alissa Valentine, Anina Lund, Alice Hashemi, Ryan C. Thompson, Terry Lohrenz, Jessica S. Johnson, Nicole Bussola, Esther Cheng, You Jeong Park, Salman Qasim, Alisha Aristel, Lillian Wilkins, Kimia Ziafat, Hannah Silk, Lisa M. Linares, Brendan Sullivan, Claudia Feng, Beniamino Hadj-Amar Ph.D.

Faculty Publications

At the foundation of neurotransmission, and by extension at the foundation of brain function, are coordinated programs of gene expression involving many thousands of genes. These programs are poorly defined in humans because most modern studies that characterize human brain gene expression use tissue obtained in the postmortem state when neurotransmission and brain function have ceased. Here, to advance knowledge of the gene expression programs at the foundation of neurotransmission in the human brain, gene expression was characterized in 130 prefrontal cortex (PFC) samples obtained from participants of the Living Brain Project (LBP) during neurosurgical procedures in conjunction with intracranial …

Survival On Image Regression With Application To Partially Functional Distributional Representation Of Physical Activity, Rahul Ghosal, Sunwoo Emma Cho, Marcos Matabuena

Faculty Publications

Technological advancements in wearable devices and medical imaging often lead to high-dimensional physiological signals in the form of images or surfaces. To address these data structures, we develop a novel survival on image regression model with a specific focus on partially functional distributional representation of wearable data. The existing approaches for functional data and survival outcomes have been primarily developed for uni-dimensional functional predictors. Drawing on recent developments in distributional data analysis, we model temporally varying distributional patterns of physical activity (PA) as a partially functional distributional predictor within a semiparametric Cox model framework. We use tensor product splines to …

Environmental Chemicals And Maternal Depression During And After Pregnancy: A Scoping Review, Pengfei Guo, Yunyue Shi, Cindy Nguyen, Haoran Zhuo, Tormod Rogne, Zeyan Liew

Faculty Publications

Purpose of Review

There is increasing evidence that several environmental exposures may pose a risk for depression, including maternal depression. We conducted a scoping review of epidemiological evidence regarding maternal exposure to environmental chemicals and perinatal depression.

Recent Findings

We searched PubMed, Embase, Web of Science, Dimensions, and Scopus, and summarized the findings from 27 articles that examined environmental chemical exposures and maternal depression. Studies of ambient air pollutants (N = 11) showed exposure to NO₂ and PM10 to be most consistently associated with antenatal or postnatal depression. Studies of endocrine-disrupting chemicals, including phthalates (n = 6), …

Protecting ‘Punks’: The Shortcomings Of The Prison Rape Elimination Act, Rachel Goldsmith

Binghamton University Undergraduate Journal

Prisoner-on-prisoner sexual abuse is widespread in US male prisons, with inmates “turning each other out” by sexually assaulting each other. While the Prison Rape Elimination Act (PREA) received unanimous support in Congress in 2003, motivated by the Human Rights Watch Report “No Escape: Male Rape in Prisons,” scholars argue that the PREA fails to protect prisoners from prison rape: for example, its standards may be ineffective or criminalize consensual sex between prisoners. This essay will examine the shortcomings of the PREA, drawing on current legal scholarship, and propose solutions to enhance the law's effectiveness in protecting prisoners. The US government …

Developing Critical Thinking Skills In Undergraduate Csd Students Through A Case Study Project, Lydia R. Kruse, Windi Krok

Teaching and Learning in Communication Sciences & Disorders

Critical thinking skills are crucial for Speech-Language Pathologists to effectively assess, diagnose, and treat communication disorders. However, the optimal timing for teaching these skills to future clinicians remains an open question. Most of the current research is focused on developing critical thinking skills in graduate students, though there is some evidence to suggest that students should be working to develop critical thinking skills during their undergraduate education. This work describes the critical thinking skills demonstrated by undergraduate students in a Communication Sciences and Disorders (CSD program) through a case study project, as well as their self-perceptions. Results indicate relative weakness …

Larval Zebrafish Minimize Energy Consumption During Hunting Via Adaptive Movement Selection, Thomas Darveniza, Robert Wong, Shuyu I Zhu, Zac Pujic, Biao Sun, Matthew Levendosky, Ramesh Agarwal, Michael H Mccullough, Geoffrey J Goodhill

2020-Current year OA Pubs

Animals must balance behavioral goals with the energetic costs of movement. How such trade-offs are implemented algorithmically during natural behavior, and how they adapt to changing energetic constraints, remains poorly understood. Here we show that larval zebrafish adjust their motor strategies during prey hunting to minimize energy expenditure. Using high-speed video tracking and 3D computational fluid dynamics simulations, we quantified the energy costs (in Joules) of different movement types across three developmental stages. While the structure of discrete movement types ("bouts") remained stable with age, their selection probabilities changed depending on their energetic cost, such that more expensive bouts were …

Competencies And Preparation For Addressing Poverty In Counselor Education: A Q Methodological Study, Seneka Rachel Gainer

Journal of Counselor Preparation and Supervision

This study explored the competencies needed to prepare counselors to address the systemic and relational impacts of poverty within counselor education. Using Q methodology, expert participants identified critical knowledge, skills, and awareness factors required for effective practice. Two distinct factors emerged: (1) the centrality of relational competencies such as empathy, cultural humility, and trust-building, and (2) the necessity for curriculum-wide integration of poverty-specific training and systemic advocacy. Findings highlight the need for counselor education programs to embed poverty-related competencies across curricula, foster interdisciplinary collaboration, and develop experiential and advocacy-based training models. Implications for counselor education, accreditation standards, and professional development …

Pediatric Inflammatory Bowel Disease Tissue Classification From Pathology Slide Images: Detecting Phenotypes Using Computer Vision, Chloe Martin-King, Ali Nael, Louis Ehwerhemuepha, Blake Calvo, Quinn Gates, Jamie Janchoi, Elisa Ornelas, Melissa Perez, Andrea Venderby, John Miklavcic, Peter Chang, Aaron Sassoon, Brian Rubio, Ghislaine Barrigan, Kenneth Grant

Food Science Faculty Articles and Research

Background and Aims

Methods

Results …

Health Science Students’ Knowledge, Attitude, And Readiness Toward Health Management Learning In The Gulf Cooperation Council Region: A Multi-Institutional Study, Ali Artaman, Amjad Abu Elsamen, Hillani Tadesse Bekele, Heba Hijazi, Ghada Moh Samir Elhessewi, Fatima Al-Ghadban, Mohaimen Mansur

All Works

Background: Health management represents a core competency for healthcare professionals, especially in systems experiencing rapid reform and resource constraints. While traditionally overlooked in undergraduate curricula, it is vital for promoting efficiency, patient safety, and interprofessional collaboration. Methods: Four universities were partner sites for this classroom-based research: Zayed University (ZU), with two campuses, the University of Sharjah (US), Princess Noura Bint Abdul Rahman University (PNU), and Kuwait University. A total of 307 health science students were recruited from each university through email and in-class invitations from August 2022 to January 2024. Following the data check, score variables were created for general …

Finding Research Datasets And Evaluating Data Quality, Ibis Anette Moreno-Lozano Phd.

Day Family Research Lab Workshop Series

No abstract provided.

Albumin-Binding Domains In Therapeutic Protein Engineering: A Structural And Computational Perspective On Rational Design, Matthew Argyle, Dallin M. Chipman, Anna Claire Woolley, Bradley C. Bundy, Dennis Della Corte

Faculty Publications

Therapeutic proteins face a critical pharmacokinetic challenge: rapid clearance from circulation limits their clinical efficacy. Albumin-binding domains (ABDs) offer an elegant solution by enabling therapeutic proteins to “hitchhike” on serum albumin’s favorable 19-day half-life through FcRn-mediated recycling. Clinical validation through approved therapeutics like ozoralizumab demonstrates the success of this approach, with preclinical studies showing fusion to an ABD extended half-life to 18 days. This review provides an analysis of ABD-fusion protein design, integrating structural biology, computational prediction, and rational engineering principles. We catalog the major classes of albumin-binding modalities, including bacterial three-helix bundle domains, engineered peptides, antibody-derived binders, and alternative …

Prevalence Of Premenstrual Syndrome, Premenstrual Dysphoric Disorder, And Dysmenorrhea In Nursing Students: A Systematic Review, Meta-Analysis, And Evidence-Based Recommendations, Sabyasachi Maity, Bharathi Gadad, Hansapani Rodrigo, Seham Noorani, Ayesha Usman, Chloe Lark, Mona Attarpour, Ivy Mageto, Lucas Schwartz, Nikhilesh Anand

School of Medicine Publications

Introduction: Menstrual disorders—including premenstrual syndrome (PMS), premenstrual dysphoric disorder (PMDD), and dysmenorrhea—are highly prevalent among women of reproductive age and are associated with impaired academic performance, psychological distress, and reduced social functioning. Nursing students are particularly vulnerable due to the combined demands of intensive academic schedules and clinical training, yet prevalence estimates and institutional responses remain inconsistent.

Methods: A systematic review and meta-analysis were conducted in accordance with PRISMA 2020 guidelines and registered in PROSPERO (CRD420251109363). PubMed, Scopus, Web of Science, CINAHL Ultimate, and APA PsycINFO were searched for studies published between 2016 and 2025. Eligible studies reported prevalence or …

Emerging Trends And Challenges In International Student Research: A Content Analysis Of Recent Dissertations (2022–2024), Krishna Bista, Oluwasegun Adesola Oladipo, Lin Ge, Tian Qin

Health Care Administration Faculty Research

This study presents a content analysis of 470 doctoral dissertations published between 2022 and 2024, examining emerging trends, theoretical frameworks, and research approaches related to international students. Using a qualitative content analysis approach and descriptive statistics, the study systematically analyzed the dissertations to identify recurring themes and issues. The key themes identified include teaching and learning; academic practices; acculturation and intercultural competence; career development and leadership; experiences and challenges; mobility and policy contexts; social diversity and inclusion; institutional support; and well-being. The findings show a predominant use of qualitative methods, a concentration on U.S.-based contexts, and a strong disciplinary focus …

Hyperdensity On Head Ct—An Imaging Review, Ramsis Benjamin, Christian Menard, Erik Larson

School of Medicine Publications

The 3D images derived from non-contrast Computed Tomography (NCCT) scans provide a glimpse into the intra- and extracranial structures, based on the ability of electromagnetic X-rays to penetrate through various tissue densities. The gray matter, for example, possesses a higher density than the white matter, absorbs more X-rays, allows less penetration (attenuation), and thus has larger Hounsfield units (HU), the mathematical value of attenuation coefficient. The CT scanner’s wide availability and ease of use allow for quick assessment of acute neurosurgical abnormalities, such as hemorrhages, mass effect, hydrocephalus, and traumatic injuries. An attenuation value of +60 to +90 HU generally …

Ai Scribe Use In Residency Training: A Call For Specialty Society Guidance In Graduate Medical Education, Julia A. Giordano, Elizabeth Jones

Department of Dermatology and Cutaneous Biology Faculty Papers

Artificial intelligence (AI) is increasingly used for documentation purposes in clinical practice, yet guidance for resident use is limited. Given the substantial documentation burden on medical trainees, AI-powered scribing tools may offer benefits, but their integration into residency training raises educational, supervisory, and patient safety considerations. This study aimed to assess the availability of resident-specific guidance on AI scribe use from major medical and specialty organizations and to summarize current evidence on AI scribes in residency. We reviewed five major medical and specialty society websites (AAD, AMA, ACGME, AAMC, ABMS) via website searches and direct emails and conducted a PubMed …

Data Management Plans For Grant Proposals, Rubab Shahzad

Day Family Research Lab Workshop Series

Fundamentals of research data management and how to create effective Data Management Plans (DMPs) and Data Management Sharing Plans (DMSP)

Potential Mediators In The Relationship Between Racial Identity And Neuropsychological Performance In A Retired Nfl Cohort, Claire Stafford, Charles Golden, Ryan Bennett

Archives of Assessment Psychology

Historically, Black Americans have consistently performed more poorly than White Americans on various neuropsychological tests, with debates surrounding the causes of these differences ranging from genetic to societal factors. These differences have been documented across various cognitive domains, including memory, attention, executive function, and processing speed. Findings from previous research suggest that individuals with higher levels of education and stable marital relationships tend to exhibit better cognitive functioning, while certain football positions are linked to differences in cognitive abilities. However, the specific effects of these factors on neuropsychological performance require further investigation. The present archival study was derived from a …

Defining Clinically Relevant Responses In Erectile Function: An Smsna Position Statement, Landon Trost, Faysal Yafi, Alan Shindel, Mohit Khera, Raymond C Rosen, Petar Bajic, Helen Bernie, Martin Gross, Johanna Hannan, Sevann Helo, Lawrence Jenkins Ii, Carol Podlasek, Daniel Watter, Matthew Ziegelmann, Tobias Köhler

Faculty, Staff and Students Publications

Background: To date, no scoring system has adequately defined clinical efficacy of erectile dysfunction (ED) therapies when evaluating differences between cohorts or in meta-analytic studies.

Aim: To outline the minimal criteria required for any therapy to be considered clinically effective in the treatment of ED.

Methods: An analytic review was performed of standardized ED questionnaires, with a particular emphasis placed on the International Index of Erectile Function, Erectile Function Domain (IIEF-EFD), and the minimally clinically important difference (MCID) concept. The data were used to create a societal position statement and recommendations on best practices within clinical trials to determine treatment …

Ecologic Factors Contributing To West Nile Virus Hyperendemicity In Central South Carolina: An Integrated Vector–Human–Environmental Study, Elba S. Fridriksson, Ahayla Muraleedharan, Kyndall C. Dye-Braumuller, Madeleine M. Meyer, Kia Zellars, Hiuxuan Li, Melissa S. Nolan Ph.D., Mph

Faculty Publications

West Nile virus (WNV) is an endemic arboviral infection in the United States that has undergone phyloge-netic evolution since its introduction 25 years ago. An integrated vector–human–pathogen study was conducted in the summer of 2023 to unearth contemporary Culex quinquefasciatus habitat patterns and human transmission spillover foci in South Carolina, a state with historically little WNV data. A serosurvey revealed WNV seroprevalence 10 times the national average (22% versus 2%, respectively), with unusual epidemiologic risk factors. Female Culex quinquefas-ciatus WNV positivity was low (2.7%), with viral phylogenetics 100% homologous to the WN02 clade. Mosquito vectors clustered in affluent urban neighborhoods …

Identification Of A Cytokine Biomarker For Prognostic Modeling Of Breast Cancer-Related Lymphedema, Alison J Wu, Neil Lin, Jie Su, Cherie Lin, Madison-Shira Hossack, Wei Shi, Farnoosh Abbas-Aghababazadeh, Wei Xu, Benjamin Haibe-Kains, Simona F Shaitelman, Melissa B Aldrich, Fei-Fei Liu, Jennifer Y Y Kwan

Faculty, Staff and Student Publications

Lymphedema is a chronic complication of breast cancer treatment, and early intervention is crucial to reduce morbidity. This study evaluated the role of blood-based cytokine biomarkers in the prognostication of breast cancer-related lymphedema (BCRL) to improve risk prediction. A secondary analysis of inflammatory biomarkers for BCRL was performed using a previously published cohort of 147 breast cancer patients who had undergone serum cytokine profiling during their treatment at the Princess Margaret Cancer Centre from 2010-2014. Prognostic cytokine variables for lymphedema were selected by regression analysis and independence from known clinical risk factors. Regression-based modeling was employed to integrate prognostic variables …

Ubiquitination Of Oncogenic Mutant P53 Via Attenuation Of Ribosome Biogenesis Machinery Effectively Inhibits Pancreatic Tumor Growth, Mudassier Ahmad, Sahir Sultan Alvi, Haider Ahsan, Carlos Perez, Andrew Massey, Vivek K Kashyap, Neeraj Chauhan, Emmanuel Anning, Manish K Tripathi, Dae J Kim, Nirakar Sahoo, Tamer Oraby, Murali M Yallapu, Mohammad Moshahid Khan, Manu M Sebastian, Subhash C Chauhan, Bilal B Hafeez

Faculty, Staff and Student Publications

Dysregulated ribosome biogenesis and p53 mutations are known to play oncogenic roles in various cancers, including pancreatic cancer. In this study, we demonstrated the therapeutic potential of BMH-21, a pharmacologic inhibitor of RNA polymerase I, against pancreatic cancer by uncovering a novel molecular mechanism involving RPA194-mediated ubiquitination of mutant p53 without affecting the ubiquitination of wild-type p53. Our key findings are that (i) BMH-21 selectively induces apoptosis and cell growth inhibition of pancreatic cancer cells with no effect on normal human pancreatic ductal epithelial cells; (ii) BMH-21 degrades RPA194; (iii) BMH-21 inhibits recruitment of both RPA194 and RPA135 on rDNA …

Fedda-Tsformer: Federated Domain Adaptation With Vision Timesformer For Left Ventricle Segmentation On Gated Myocardial Perfusion Spect Image, Yehong Huang, Chen Zhao, Rochak Dhakal, Min Zhao, Guang-Uei Hung, Zhixin Jiang, Weihua Zhou

Michigan Tech Publications

BACKGROUND: Accurate assessment of left ventricular function is essential for diagnosing and managing cardiovascular disease. Gated myocardial perfusion SPECT (MPS) enables simultaneous evaluation of perfusion and function, but reliable contour extraction is challenged by image noise, resolution limits, and anatomical variability. Multi-center validation is further restricted by data privacy concerns, underscoring the need for robust and privacy-preserving contouring methods. METHODS: In this study, we propose a novel approach, FedDA-TSformer, which integrates Federated Domain Adaptation with the TimeSformer model for the task of left ventricle segmentation using MPS images. The proposed model captures spatial and temporal features through a Divide-Space-Time-Attention mechanism, …

Detecting Stigmatizing Language In Clinical Notes With Large Language Models For Addiction Care, Rohan Sethi, John Caskey, Yanjun Gao, Matthew M. Churpek, Timothy A. Miller, Anoop Mayampurath, Elizabeth Salisbury-Afshar, Majid Afshar, Dmitriy Dligach

Computer Science: Faculty Publications and Other Works

Intensive care units (ICU) produce numerous progress notes that may contain stigmatizing language that perpetuate negative biases and punitive approaches against patients. Patients with substance use disorders are particularly vulnerable to stigma. This study examined the performance of Large Language Models (LLMs) in the identification of stigmatizing language. We annotated a dataset with over 77,000 stigmatizing and non-stigmatizing notes from the MIMIC-III database. We utilized Meta's Llama-3 8B Instruct LLM to run the following experiments for stigma detection: zero-shot; in-context learning; in-context learning with a selective retrieval; supervised fine-tuning (SFT); and keyword search. All approaches were evaluated on a held-out …