Digital Commons Network^™

Socio-Spatial Patterns Of Suicide Mortality In The United States, Kushagra Tiwari, M. Amin Rahimian, Marie-Laure Charpignon, Philippe J. Giabbanelli, Praveen Kumar

VMASC Publications

Suicides cause more than 49,000 deaths per year in the United States, including 55% associated with the use of a firearm. Across states and counties in the US, suicide mortality exhibits substantial geographical and sociodemographic heterogeneity. However, the role of large-scale social networks in shaping this variation remains underexplored. To assess how both the risk of suicide mortality and the effect of firearm restriction policies propagate through inter-county social ties, we integrate data on county-level suicide mortality (2010–2022) and the Facebook Social Connectedness Index (SCI), a continuous measure of the strength of social ties between counties used to derive weighted …

Memoryart: Enhancing Llms Via Multi-Memory Models With Adaptive Resonance Theory For Healthcare Agents, Renke Dai, Hebin Hu, Jiahui Zhang, Yilin Kang, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Though promising in healthcare consultation applications, large language models (LLMs) face critical limitations in retaining and utilizing long-term memory across multiturn interactions. In particular, existing memory enhancing paradigms are constrained by limited context windows and embedding-based retrieval, often failing to maintain task relevance and still suffering from memory prototype collapse in multi-turn healthcare consultation. To address these challenges, we propose a cognitively-inspired memory framework named MemoryART, which is grounded in Adaptive Resonance Theory (ART)—a cognitive and learning theory of how humans and animals adapt to dynamic environments. MemoryART employs three memory modules—working memory, episodic memory, and semantic memory to support …

An Intuitionistic Fuzzy Hypergraph Model Enhanced ‎By Forest-Of-Walks Dynamics For Medical Image ‎Segmentation, Brinthaguru Thangaraj, Karthick Palanisamy

Mansoura Engineering Journal

The process of accurately segmenting Urolithiasis and pulmonary nodules from medical images presents significant difficulties because of three main factors which include nonuniform intensity distribution and the presence of weak object borders and the uncertainty caused by anatomical structure overlaps. The study introduces F-Zinhger as a solution to these problems through its application of the Forest of Walks technology. The method uses superpixels as fundamental elements which form a multi-scale hypergraph that establishes hyperedges through three criteria: intensity similarity, spatial proximity, and Z-intuitionistic fuzzy hesitation to capture complex contextual connections. The system incorporates a random walk-based label propagation system. The …

Wastewater Surveillance For Sars-Cov-2 In Rural Kentucky, 2021–2023, James W. Keck, Reuben Adatorwovor, Ann Noble, Savannah Tucker, William Strike, Soroosh Torabi, Mohammad Dehghan Banadaki, Blazan Mijatovic, Steven K. Roggenkamp, Donna Mcneil, Lindell Ormsbee, Scott M. Berry

Family and Community Medicine Faculty Publications

Wastewater testing for SARS-CoV-2 provided useful public health information during the COVID-19 pandemic yet was underutilized in rural communities. We addressed this gap by implementing wastewater surveillance and assessing its performance in 10 communities in Eastern Kentucky. We collected wastewater samples 1–2 times weekly at 10 wastewater treatment plants (WWTPs) from May 2021 until April 2023 and measured SARS-CoV-2 RNA concentrations using polymerase chain reaction testing. We calculated time-lagged correlations between wastewater concentrations and county-level reported COVID-19 cases by site. We developed a generalized linear model to estimate COVID-19 incidence from wastewater SARS-CoV-2 concentrations. The 10 participating WWTPs served 2430 …

Adsorptive Gas Sensor Response Forecasting To Enable Breath-By-Breath Analysis, Samuel Bellaire, Samir Ahmed Rawashdeh, Kirby P. Mayer, Jamie L. Sturgill

Physical Therapy Faculty Publications

MOS gas sensors have proven to be useful in electronic noses, which utilize these sensors to detect volatile organic compounds in human breath to detect various lung diseases. Unfortunately, the long settling time of MOS gas sensors is ill-suited to measuring human breath, where complete breathing cycles are often shorter than 5 s. Existing studies circumvent this limitation by collecting gas samples and injecting them into a sealed chamber to react with the sensors. However, it would be convenient if breath-by-breath analysis could be conducted without the need to store breath samples. To accomplish this, we present a novel forecasting …

Maesa Ramentacea Leaf Extract Protects Against Gentamicin-Induced Nephrotoxicity In Wistar Rats By Modulating Renal Oxidative Stress, Inflammation And Apoptosis, Fahmida Akter, Md Shafiqul Islam Sovon, Baizid Hossain, Md Ariful Islam, Subrato Das, Anik Biswas, Md Sohorab Uddin, Md Mahmudul Hasan

Faculty Publications

Background: Gentamicin-induced nephrotoxicity continues to be a significant clinical concern, while effective and safe protective options remain limited. The nephroprotective potential of Maesa ramentacea has not yet been explored. To address this gap, the present study investigated the ethanolic leaf extract of M. ramentacea (MR-LEE) for its effects on gentamicin-induced kidney injury in Wistar rats. Methods: GC-MS profiling was employed to identify bioactive metabolites. Rats were categorised into five groups: control, gentamicin (100 mg/kg), gentamicin combined with silymarin (100 mg/kg), gentamicin combined with MR-LEE (200 mg/kg) and gentamicin combined with MR-LEE (400 mg/kg). Renal biomarkers, oxidative stress indicators, inflammatory and …

Designing Narrative-Based Ai Assistance For Sensemaking In Collaborative Environments: Case Studies In Education And Dementia Care, Dylan Edward Moore

Dartmouth College Ph.D Dissertations

This thesis addresses a gap in the human-computer interaction literature regarding the design, development, and evaluation of narrative-based AI assistance for collaborative, complex problem solving. I explore this design space through three case studies across the domains of education and dementia care. This work encompasses multi-year industry partnerships and longitudinal fieldwork, user-centered design, dataset curation, model training, and system evaluation.

Specifically, the first case study considers a story-based web platform for teaching AI literacy through peer-generated, personalized narrative scaffolding. Learners on the platform showed significant knowledge gains and other learning-related outcomes. To describe the novel design of this system, I …

Adversarial Robustness In Biomedical Time-Series Models, Rohan Tiwari

Bioengineering Theses

This study investigates adversarial vulnerabilities in deep learning models for biomedical time-series classification across two clinically important modalities: electrocardiography (ECG) and electroencephalography (EEG). Using the MIT-BIH Arrhythmia and CHB-MIT seizure datasets, I evaluate time-domain attacks (FGSM, PGD), Fourier-domain constrained attacks, and learned spectral perturbations designed to reveal modality-specific sensitivity patterns. Across both tasks, a consistent trend emerges low-frequency components (0–5 Hz) constitute a dominant axis of adversarial vulnerability, with perturbations in this range producing the steepest degradation in classification performance. In ECG models, protecting the physiologically relevant QRS band (5–20 Hz) significantly improves robustness, whereas EEG models remain highly sensitive …

Artificial Intelligence–Enabled Revenue Cycle Management And Financial Performance In Healthcare Organizations, K’Reesa Webster

Theses, Dissertations and Capstones

The purpose of this review was to examine how artificial intelligence–enabled revenue cycle management (AI-enabled RCM) systems have been associated with financial performance outcomes in healthcare organizations. A literature review following a systematic process consistent with PRISMA 2020 guidelines was conducted to identify quantitative studies published between 2015 and 2026. Eligible studies were required to report at least one financial outcome related to claim denial rate, days in accounts receivable, or operating margin. Twenty-seven studies met all inclusion criteria. Findings across these studies indicated that AI-enabled RCM systems have been associated with lower denial rates, shorter accounts receivable timelines, and …

Differences In Biologic Clinical Trials For Chronic Rhinosinusitis With Nasal Polyps—Are We Comparing Apples With Oranges?, Marjolein Cornet, Peter W. Hellings, Martin Desrosiers, Martin Wagenmann, Richard Follows, Laura Walrave, Luz Adriana Jimenez, Lee Tombs, Dawn Edwards, Peter Howarth, Joseph K. Han

Department of Otolaryngology (ENT) Faculty Publications

In recent years, several biologics targeting Type 2 inflammation have been developed for treating chronic rhinosinusitis with nasal polyps (CRSwNP). These have been studied in registrational randomized controlled trials (RCTs), which vary in their patient populations, trial design, endpoints, geography, timing, or data-handling processes. While (in)direct treatment comparisons and meta-analyses have been carried out to compare efficacy results from RCTs, often these fail to properly account for these between-study differences. Here, we summarize the key between-study differences that can influence trial outcomes and highlight the resulting challenges faced when comparing outcomes from different Phase III RCTs of biologics in CRSwNP.

Mtl_Tx: A Multi-Task Transformer Model For Improved Radiation Time-Series Estimation, Hongfang Zhang, Adam Stavola, Hal Ferguson, Bence Budavari, Hongyi Wu, Chiman Kwan, Jiang Li

Electrical & Computer Engineering Faculty Publications

Controlling radiation doses at potential radioactive facilities is critical to ensuring the safety of both personnel and the public. At the Thomas Jefferson National Accelerator Facility (JLab), multiple sensors are deployed around the three experimental halls to monitor key parameters, including single-beam current, energy levels, current leakage, and radiation values during accelerator operations. In this study, we developed a Multi-task Transformer model, MTL_TX, to accurately estimate radiation doses at sensor locations based on historical data, with the aim of enhancing safety in accelerator facilities and surrounding public areas. To improve estimation accuracy, we integrated two innovative components into the proposed …

Standardization Of Neuromuscular Reflex Analysis—Role Of Fine-Tuned Vision-Language Model Consortium And Openai Gpt-Oss Reasoning Llm-Enabled Decision Support System, Eranga Bandara, Ross Gore, Sachin Shetty, Ravi Mukkamala, Christopher K. Rhea, Brittany S. Samulski, Amin Hass, Atmaram Yarlagadda, Shaifali Kaushik, Malith De Silva, Andriy Maznychenko, Inna Sokolowska, Kasun De Zoysa

VMASC Publications

Background/Objectives: Accurate assessment of neuromuscular reflexes, such as the Hoffmann reflex (H-reflex), plays a critical role in sports science, rehabilitation, and clinical neurology. Conventional interpretation of H-reflex electromyography (EMG) waveforms is subject to inter-rater variability and interpretive bias, limiting reliability and standardization. This study aims to develop an automated, interpretable, and robust agentic AI–driven framework for H-reflex waveform analysis. Methods: We propose a fine-tuned Vision–Language Model (VLM) consortium combined with a reasoning Large Language Model (LLM)–enabled decision support system for automated H-reflex interpretation. Multiple VLMs were fine-tuned on curated datasets of H-reflex EMG waveform images annotated with expert clinical observations, …

Machine Learning Classification Of Prostate Cancer Genomic Sequences Using K-Mer And Sequence-Derived Features, Kuldeep Rawat, Hirendra Nath Banerjee, Jamie Noble, Saa Naudia Deloatch, Satyendra Banerjee, Sachin Shetty, Soumya Banerjee

VMASC Publications

Prostate cancer disproportionately impacts African American men, who experience significantly higher mortality rates and earlier disease onset than other populations. Current diagnostic approaches, including prostate-specific antigen testing and biopsy, lack sufficient specificity and sensitivity, underscoring the need for accurate, molecular-level classification tools. This paper presents a machine learning framework for binary classification of genomic DNA sequences as cancerous or healthy. A dataset of 1684 FASTA-formatted sequences obtained from the National Library of Medicine - GenBank was analyzed, with 1662 sequences retained after quality control filtering. Feature engineering yielded 67 attributes, including GC content, Shannon entropy, sequence length, and trinucleotide k-mer …

Recent Advances In Triboelectric Nanogenerators For Biomedical And Cardiovascular Monitoring, Amit Sarode, Jegan Rajendran, Gymama Slaughter

Center for Bioelectronics Publications

Triboelectric nanogenerators (TENGs) have emerged as versatile self-powered platforms for wearable and implantable biomedical sensing, offering an alternative to battery-dependent electronic devices. By converting biomechanical energy from physiological motion into electrical signals, TENGs enable simultaneous energy harvesting and active sensing within flexible, lightweight, and biocompatible architectures. This review summarizes recent advances from 2020 to 2025 in triboelectric nanogenerator (TENG)-based cardiovascular monitoring. The discussion focuses on material systems, device configurations, sensing mechanisms, and applications including pulse detection and cuffless blood pressure estimation. Representative studies are compared to highlight emerging trends in wearable and self-powered sensing technologies. However, differences in experimental conditions, …

The Impact Of A Nf-Κb Signaling Inhibitor On The Antibacterial Activity Immune Response In The Cat Flea (Ctenocephalides Felis), Caroline M. Singer

College of Graduate Studies: Theses & Dissertations

Ctenocephalides felis are vectors of several bacterial pathogens that cause disease in humans and animals, including Bartonella henselae and Rickettsia felis. Successful pathogen transmission requires that microbes survive the immune defenses of the flea digestive tract following blood feeding. In insects, humoral immune responses are regulated primarily by the Toll and immune deficiency (IMD) signaling pathways, with the IMD pathway serving as the principal defense against Gram-negative bacteria. Although genomic and transcriptional evidence indicate that cat fleas encode and express components of the IMD signaling pathway, the functional roles of individual pathway components within the flea digestive tract remain …

The Impact Of Gastric Sleeve And Roux-En-Y Gastric Bypass On Chief Cell Function And Protein Digestion In Obese Patients, Garikoitz Mikel Gainza

Honors Undergraduate Theses

Obesity has become one of the largest global health concerns of the 21^st century, correlating with numerous associated diseases. To help address the growing prevalence and burden of obesity, sleeve gastrectomy and Roux-en-Y gastric bypass have become two commonly performed surgical procedures done to promote weight loss by altering the anatomical structure of the stomach and surrounding organs of the gastrointestinal system. Although the benefits of improved metabolism linked to these surgical procedures are well studied, their impact on the physiology of gastric cells, and more specifically chief cells as they relate to protein digestion post-surgery, is yet to …

Barriers To Immunity: Understanding Covid-19 Vaccine Uptake In Africa, Emilia Blechschmidt

Honors Theses

This thesis examines the factors influencing COVID-19 vaccine uptake across African countries, with a focus on structural, informational, and behavioral barriers to immunization. Drawing on cross-country data, the study analyzes how access to transportation, reliable information, and healthcare resources shape vaccination rates, alongside the effect of demographics and institutional factors in shaping individual perceptions of risk and vaccine safety.

The findings emphasize that the broader strength and preparedness of national health systems strongly influence vaccine uptake. Countries that demonstrated higher coverage of routine childhood immunizations, such as polio and hepatitis B, also tended to perform better in COVID-19 uptake efficiency …

Evaluating The Impact Of Glidant And Predicting Tablet Sticking Using Powder Rheology, And Tablet Compression Technologies, Bhavin Vishnubhai Parekh

Selected Full-Text Dissertations 2020-

Two-thirds of all pharmaceutical formulations are delivered orally, and more than half are in the form of a tablet. Tablets are the most popular in terms of both the marketed products and the volume of manufacturing. On the other hand, tablet sticking is an extremely expensive and time-consuming problem that must be addressed. Because of limited tabletpressing cycle runs and incomplete information, trying to predict the sticking propensity of a new formulation has been extremely difficult during early-development batches. A model of drugs, ketoprofen, Acetaminophen, and salicylamide, was used to predict the effect of glidants (Aerosil® 200, Talc, and Syloid® …

Optimized Nano-Bilosomes Loaded Ocular Insert As A Promising Approach For Boosting Voriconazole Ocular Bioavailability: In-Vitro, Microbiological, And In-Vivo Assessments, Eman Gomaa, Eman Gomaa

Nanotechnology Research Centre

The eye possesses numerous physiological barriers that significantly limit the absorption of administered drugs, as only < 5 % get through. These barriers restrict drug bioavailability, often necessitating multiple dosing, which can lead to poor patient compliance. The study goal is to efficiently incorporate Voriconazole (VRC), a widespectrum antifungal candidate with a short half-life, into stable, biocompatible, non-irritating bile salt nanoparticles (Bilosomes, BLOs) to enhance its ocular delivery. Bilosomes were prepared by the ethanol injection method. Experimental (33 ) Box–Behnken Design (BBD) was employed; the amount of bile salt, cholesterol, and span-60 were chosen as independent variables, while entrapment efficiency (EE%), cumulative VRC release (Q8h), particle size (PS), zeta potential (ZP), and polydispersity index (PDI) were the dependent variables. The formula of optimization showed EE% (59.04 ± 1.88 %), cumulative release after 8 h (81.35 ± 0.69 %), PS (222.53 ± 2.04 nm), ZP (− 72.53 ± 1.75 mV), and PDI (0.225 ± 0.03). It was chemically characterized using DSC and FTIR. Its spherical arrangement was confirmed using TEM. For ophthalmic application, the optimized formula was included in ocular inserts to extend ocular residence time while minimizing dosing frequency. The optimal VRC-loaded bilosomal ocular insert met the acceptable physicochemical criteria, was sterilized using UV radiation for conducting microbiological assay, in-vivo study, and pharmacokinetic analysis. For safety evaluation, an eye irritation study and histopathological examination were conducted. The results confirmed its effectiveness as evidenced by a significantly larger inhibition zone and 8.39-fold enhancement in VRC bioavailability compared to its suspension. These findings support the potential of bilosomes-loaded ocular insert as an effective ocular delivery of VRC.

Development Of A Semi-Mechanistic Pharmacokinetic-Pharmacodynamic Model For Beta-Lactam Antibiotic Combination Against Enterococcus Faecalis Based On Time-Kill Assays To Predict Drug Disposition And Guide Dosing Strategy In A Severe Renal Impairment Population, Ruhma Zia Khan

Selected Full-Text Dissertations 2020-

Bacterial resistance to antibiotics continues to be a global health problem, limiting antibacterial therapy against infective endocarditis caused by Enterococcus faecalis. To overcome increasing resistance, dual beta-lactam therapy has been advocated as an alternative regimen for treatment – the synergistic activity against E. faecalis demonstrated to be effective. Currently, ampicillin plus ceftriaxone is the standard of care, but the practical application of this therapy is limited by ampicillin’s poor stability in solution at room temperature. A synergistic combination of penicillin plus ceftriaxone shows promise due to penicillin’s superior stability at ambient temperature, but ceftriaxone’s potential to cause hepatoxicity further limits …

Clinical Subtypes Of Co-Morbid Insomnia And Obstructive Sleep Apnea (Comisa): Results Of A Cluster Analysis, Yuan Shi, Xujun Feng, Fengyi Hao, Yuru Nie, Yihui Zhang, Zhaohua Chen, Siqi Guan, Larry D. Sanford, Michael V. Vitiello, Xiangdong Tang

Department of Pathology & Anatomy Faculty Publications

Background

Variations in the bidirectional relationship between obstructive sleep apnea (OSA) and insomnia in co-morbid insomnia and OSA (COMISA) may form distinct subtypes of COMISA, which have not been previously characterized. This study aims to identify and characterize subtypes of COMISA.

Methods

From a community-recruited COMISA cohort 256 individuals who met diagnosis for COMISA were used to identify subtypes using a two-step clustering methodology. Demographics and multidimension clinical characteristics were collected and compared among obtained subtypes. Logistic models were used to evaluate whether these subtypes were associated with cardiometabolic and mental disorders. A clinical cohort of 1816 COMISA patients was …

Microgravity-Induced Alterations In Left Atrial Hemodynamics And Thrombogenic Risk: Insights From Healthy And Atrial Fibrillation Models, Grace M. Hoeppner

Dissertations, Master's Theses and Master's Reports

Background: Microgravity exposure alters cardiovascular loading, yet its impact on left atrial flow dynamics and thrombotic risk remains poorly understood. This study investigates how spaceflight-relevant microgravity-induced changes in cardiac outflow affect left atrial hemodynamics in healthy individuals and patients with atrial fibrillation.

Methods: Patient-specific left atrial models were generated for three healthy individuals and three AF patients. Computational fluid dynamics (CFD) simulations were performed using each patient’s baseline mitral outflow waveform and two modified waveforms representing short- and long-duration post-flight cardiac loading changes derived from echocardiographic observations. Hemodynamic metrics included left atrial velocity, time averaged wall shear stress, oscillatory shear …

The Sequence (S) Index As A Marker Of Diminished Step-To-Step Transition Efficiency In Older Adults, Elham Alijanpour, Ashwini Kulkarni, Peter G. Adamczyk, Daniel M. Russell

Rehabilitation Sciences Faculty Publications

Introduction: Age-related declines in walking efficiency are often attributed to musculoskeletal and neuromuscular changes, yet the mechanisms underlying these inefficiencies remain poorly understood. One key contributor is the step-to-step transition (STST), during which the center of mass (CoM) is redirected between limbs. The Sequence (S) index quantifies the temporal overlap between push-off and collision forces during STST, with higher values indicating greater mechanical energy loss. This study investigated whether aging affects STST efficiency, as quantified by the S index, and examined the timing and impulse characteristics underlying observed differences.

Methods: Thirteen young and eleven older healthy adults walked at five …

Exploring The Synergy Between Very Large Transformer And Lstm Models For Effective Medical Captioning From Videos To Text: The Impact Of Captioning In Healthcare, R. V. Aswiga, Moin Ahmed Zahir

Data Science Faculty Publications

In today’s rapidly evolving digital landscape, the demand for accurate and contextually relevant subtitles for image and video content, particularly in the medical domain, is increasingly critical. Despite the proliferation of visual data across various platforms, existing captioning systems often struggle due to variations in visual settings, complex temporal relationships, and nuanced semantics. Additionally, challenges such as limited datasets, privacy issues, and specialized annotation requirements make medical image captioning particularly difficult. To tackle these challenges, we investigate cutting-edge deep learning methodologies, specifically Transfer Learning and Transformer models, through a comparative analysis. Specifically, we focus on Transfer Learning through the MedVisionCapturer …

Visual Aids And Numeracy In Healthcare: Leveraging The Drawing Effect, Zephyr J. Markley

Capstone Showcase

Healthcare decisions often require patients to interpret numerical risk information under stress, yet many struggle with low numeracy, which can distort comprehension and undermine informed consent. Well-designed visual aids can improve diagnostic inference, calibrate confidence, and support better choices, especially for patients with limited numeracy, but their impact depends on whether users can actually interpret the format accurately. Drawing may further enhance these tools by adding a tactile, generative layer that engages visual, semantic, and motoric processing while helping patients organize information into concrete models.

Passive visual aids appear useful but limited because they often position patients as observers rather …

Exploring Parents’ Perspective Of Outdoor Occupational Therapy Sessions, Harold Ho, Michelle Huynh, Christina Le, Amy Morrison

Master's Projects

Introduction: Outdoor play is recognized as critical for supporting children’s development across physical, cognitive, and social-emotional domains (Firby & Raine, 2022; Walker & Ray, 2024; Zhu et al., 2024). The current literature suggests that outdoor play strengthens executive functioning, early learning skills, and enhances social-emotional competency (Dinkel et al., 2019; Walker & Ray, 2024; Zhu et al., 2024). Furthermore, accessibility to outdoor play is shaped by contextual factors, including parental perceptions of safety, environmental barriers, and broader societal influences (Cox et al., 2025; Faulkner et al., 2025; Jelleyman et al., 2019). The research suggests that common parental concerns have emerged …

C. Difficile Detection Method For First Responder Glove Application, Alli N. Senedak

Williams Honors College, Honors Research Projects

Clostridioides Difficile (C. diff) is a Anaerobic Gram-positive bacillus that is capable of spore formation, making it difficult to control its spread and duration in clinical environments. This phenomenon can provide danger to first responders, healthcare workers, and patients. The goal of this project is to create a biosensor capable of detecting C. diff in a clinical setting that can be applied to a glove apparatus. The project will involve the use of C. diff aptamers activated on the surface of an electrode. Once surface activation has been verified via surface analysis, the electrodes will be exposed to C. diff …

Proactive Safety Reasoning In Human-Robot Collaboration In Disassembly Through Llm-Augmented Stpa And Fmea, Morteza Jalali Alenjareghi, Fardin Ghorbani, Samira Keivanpour, Yuvin Adnarain Chinniah, Sabrina Jocelyn

Études primaires

Disassembly tasks in human–robot collaboration (HRC) environments present safety challenges due to hazardous materials, control system variability, and physically demanding operator tasks. To address these challenges, we propose an AI-augmented risk assessment framework integrating System-Theoretic Process Analysis (STPA) and Failure Mode and Effects Analysis (FMEA). This framework is implemented in four configurations: Term Frequency– Inverse Document Frequency (TF-IDF), Fine-tuned Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and RAG with a structured Knowledge Graph (KG) built from safety standards. The system supports real-time, standards-compliant safety reasoning by generating interpretable, context-specific recommendations. We evaluate these configurations across GPT-3.5 TURBO, GPT-4o, GPT-4.1, and …

Gender Differences In The Association Between Adverse Childhood Experiences And Drug Use: Findings From A Community-Based Survey In China, Hongyun Fu, Elizabeth Monk-Turner, Xiushi Yang

Department of Pediatrics Faculty Publications

Background

While adverse childhood experiences (ACEs) are widely recognized risk factors for behavioral health problems, including drug use, prior research has largely been conducted in Western countries, focused primarily on males, and relied on convenience samples without comparison groups of nonusers. Limited work has examined the impact of ACEs on drug use in non-Western contexts. This study examines gender differences in the relationship between ACEs and drug use in China, using data from a population-based probability sample survey.

Methods:

Cross-sectional data were collected in 2019 from one city in Yunnan Province in Southwest China and one city in Guangdong Province …

Planning A Clinical Practice Guideline Revision For A Core Set Of Outcome Measures In Adults Undergoing Neurologic Physical Therapy, Part 1: Assessing Dissemination And Scholarly Uptake, Jennifer Moore, Jane E. Sullivan, Marghuretta D. Bland, Wendy Romney, Elizabeth Anderl, Zeynep Gulen Erkoc, Kristen Potter

Physical Therapy Faculty Publications

Introduction

Clinical Practice Guidelines (CPGs) facilitate evidence-based decision-making and standardising care, yet their dissemination and scholarly uptake vary widely. The Core Set of Outcome Measures for Adults With Neurologic Conditions Undergoing Rehabilitation CPG (Core Set) has been broadly referenced within neurologic physical therapy. As the next revision approaches, understanding its scholarly influence, citation patterns, and published feedback is essential. This study evaluated the dissemination and use of the Core Set across the peer-reviewed literature and identified areas for refinement.

Methods

A medical librarian conducted comprehensive searches of Web of Science, CINAHL, and Scopus to identify peer-reviewed English-language articles citing the …