Digital Commons Network^™

Student Mental Health: Screening For Stress, Anxiety And Depression Using Fitbit Data, Rebecca Lopez, Avantika Shrestha, Ml Tlachac, Kevin Hickey, Xingting Guo, Shichao Liu, Elke Rundensteiner

Information Systems and Analytics Department Faculty Conference Proceedings

College students experience many stressors, resulting in high levels of anxiety and depression. Wearable technology provides unobtrusive sensor data that can be used for the early detection of mental illness. However, current research is limited concerning the variety of psychological instruments administered, physiological modalities, and time series parameters. In this research, we collect the Student Mental and Environmental Health (StudentMEH) Fitbit dataset from students at our institution during the pandemic. We assess the ability of predictive machine learning models to screen for depression, anxiety, and stress using different Fitbit modalities. Our findings indicate potential in physiological modalities such as heart …

Active Bone Marrow Dose Reconstruction In A Large-Scale Cohort Study Of Cancer Patients Treated With Photon Radiotherapy, Keith T Griffin, Kishan J Pithadia, Yeon Soo Yeom, Lior Braunstein, Kelly L Bolton, Lindsay M Morton, Choonsik Lee

2020-Current year OA Pubs

BACKGROUND: Previous studies have investigated the dose-response relationship between external beam radiotherapy (EBRT) and leukemia by reconstructing the mean active bone marrow (ABM) dose as part of the exposure assessment. However, no prior study has leveraged electronic medical records (EMR) to reconstruct ABM dose and dose-volume in an EBRT patient population.

PURPOSE: To support future studies on the relationship between radiation exposure and adverse health effects among EBRT patients, we demonstrate methods to retrospectively calculate ABM dose and dose-volume metrics in a large patient cohort using EMR.

METHODS: We retrieved complete EMR for 639 individuals (five pediatric and 634 adult) …

Finding Significant Hits In Networks: A Network-Based Tool For Analyzing Gene-Level P-Values To Identify Significant Genes Missed By Standard Methods, Sandeep Acharya, Vaha Akbary Moghaddam, Wooseok J Jung, Yu S Kang, Shu Liao, Michael A Province, Michael R Brent

2020-Current year OA Pubs

Finding Significant Hits in Networks (FISHNET) uses prior biological knowledge, represented as gene interaction networks and gene function annotations, to identify genes that do not meet the genome-wide significance threshold but replicate, nonetheless. Its input is gene-level P-values from any source, including omicsWAS, aggregation of genome-wide association studies P-values, CRISPR screens, or differential expression analysis. It is based on the idea that genes whose P-values are low purely by chance are distributed randomly across networks and functions, so genes with suggestive P-values that cluster in densely connected subnetworks and share common functions are less likely to reflect chance and more …

Accuracy And Reliability Of Artery-Vein Differentiation In Small-Field Macular Oct Angiography, Haneen Alfauri, Tugce Ilayda Turer, Cyriac Manjaly, Aditya Santoki, Senyue Hao, Marin Woronets, Chao Zhou, Rithwick Rajagopal

2020-Current year OA Pubs

PURPOSE: Accurate artery-vein (AV) differentiation in small-field macular optical coherence tomography angiography (OCTA) remains challenging due to a lack of standardized guidelines. We propose and validate criteria for

APPROACH: Small field-of-view (FOV) OCTA scans were analyzed using established AV criteria for large-field (

RESULTS: A total of 465 vessels from 20 healthy eyes were evaluated across 3 pseudo-branching orders using the criteria for OCTA. Annotators achieved high accuracy (95.1%, 92.3%) and strong intra/inter-rater reliability (

CONCLUSIONS: Accurate and reproducible AV labeling is feasible in

Quantifying Rate-Limiting Genetic Variation In Breast And Ovarian Tumourigenesis, Kathleen E Houlahan, Mahad Bihie, Yves Greatti, Julián Grandvallet Contreras, Daniel J Fulop, Marc Williams, Peter Van Loo, Paul C Boutros, Kuan-Lin Huang

Faculty, Staff and Student Publications

Background: The number and type of genetic alterations required to initiate breast and ovarian cancer remain unclear. While germline BRCA1/2 carriers show markedly elevated cancer risk, it is uncertain whether point mutations or copy number alterations constitute the rate-limiting events of tumourigenesis.

Methods: We developed a statistical framework extending prior incidence-mutation models to estimate the minimal number and type of driver events required for cancer initiation. Somatic mutation and copy-number data from >3000 breast and ovarian cancers in TCGA and METABRIC were compared between germline BRCA1/2 carriers and non-carriers matched on subtypes. Results were validated through analyses of evolutionary timing …

Spatial Profiling Reveals Distinct Molecular And Immune Evolution Of Mouse Lung Adenocarcinoma Precancers With Or Without Carcinogen Exposure, Bo Zhu, Muhammad Aminu, Pingjun Chen, Jian-Rong Li, Chuanpeng Dong, Yanhua Tian, Hong Chen, Chenxi Ma, Xin Hu, Jie Ye, Andrew Y Liu, Beibei Huang, Frank R Rojas, Parra Cuentas Edwin Roger, Ou Shi, Monique B Nilsson, Alissa Poteete, Khaja B Khan, Wei Lu, Luisa M Solis Soto, Junya Fujimoto, Cara Haymaker, Ignacio I Wistuba, Zhubo Wei, Linghua Wang, Don L Gibbons, Ken Chen, Alexandre Reuben, Jason M Schenkel, John V Heymach, Chao Cheng, Jia Wu, Jianjun Zhang

Faculty, Staff and Student Publications

Tumor evolution involves genetic, transcriptional, and phenotypic alterations that shape cancer cell behavior and interactions with the microenvironment. While single‐cell technologies have advanced our understanding of this process, spatial dynamics remain incompletely characterized. Here, whole‐exome sequencing (WES), imaging mass cytometry (IMC), and spatial transcriptomics (ST) were integrated to study molecular evolution and immune responses in two lung adenocarcinoma (LUAD) mouse models: a genetically engineered model (129S4/Sv‐KrasLSL‐G12D, termed 129S4 K) and a carcinogen‐induced precancer model (129S4 U). Compared to 129S4 K, 129S4 U tumors exhibited higher mutational, neoantigen but lower copy number variation (CNV) burdens at matched developmental timepoints, consistent with …

Ventricular Assist Device Unloading Reverses Microvascular Senescence In Single Ventricle Disease, Chang-Ru Tsai, Richard Gang Li, Yuka Morikawa, Hanna J Tadros, Md Abul Hassan Samee, Iki Adachi, James F Martin

Faculty, Staff and Students Publications

Individuals with hypoplastic left heart syndrome (HLHS) have an underdeveloped left ventricle and require surgery to reconfigure blood flow for survival. Here we profiled the HLHS right-ventricular microenvironment by single-nucleus RNA sequencing and spatial transcriptomics at birth (before heart failure), after surgery with heart failure and after ventricular assist device (VAD) unloading (reduced hypoxia and volume overload). We show that HLHS cardiomyocytes, both within the heart and when derived from induced pluripotent stem cells, are intrinsically senescent. The HLHS myocardium contained a senescent microvascular niche with endothelial cells, pericytes and YAP-high fibroblasts, consistent with hypoxic and mechanical stress. This senescent …

Information Extraction From Clinical Notes: Are We Ready To Switch To Large Language Models?, Jimin Huang, Vipina K Keloth, Vincent J Zhang, Ruey-Ling Weng, Cathy Shyr, Qingyu Chen, Xiaoqian Jiang, Kirk E Roberts, Hua Xu

Faculty, Staff and Student Publications

Objectives: To assess the performance, generalizability, and computational efficiency of instruction-tuned Large Language Model Meta AI (LLaMA)-2 and LLaMA-3 models compared to bidirectional encoder representations from transformers (BERT) for clinical information extraction (IE) tasks, specifically named entity recognition (NER) and relation extraction (RE).

Materials and methods: We developed a comprehensive annotated corpus of 1588 clinical notes from 4 data sources-UT Physicians (UTP) (1342 notes), Transcribed Medical Transcription Sample Reports and Examples (MTSamples) (146), Medical Information Mart for Intensive Care (MIMIC)-III (50), and Informatics for Integrating Biology and the Bedside (i2b2) (50), capturing 4 clinical entities (problems, tests, medications, other treatments) …

Large Language Models For Bioinformatics, Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yao Lu, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu

Faculty, Staff and Student Publications

With the rapid advancements in large language model technology and the emergence of bioinformatics-specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications. This survey aims to address this need by providing a thorough review of BioLMs, focusing on their evolution, classification, and distinguishing features, alongside a detailed examination of training methodologies, datasets, and evaluation frameworks. We explore the wide-ranging applications of BioLMs in critical areas such as disease diagnosis, drug discovery, and vaccine development, highlighting their impact and transformative potential in bioinformatics. We identify key challenges and …

Large Language Models In Qualitative Analysis: Comparing Traditional And Researcher-Interpreted Approaches, Raihan K. Khan

Faculty Scholarship

Qualitative data analysis, particularly thematic analysis, is a widely used method for uncovering patterns and insights in narrative data but often faces challenges such as being resource-intensive and susceptible to researcher bias. In recent years, Large Language Models (LLMs) have emerged as promising tools to assist human coders in conducting thematic analysis, offering efficiency and scalability in processing large datasets. However, existing work primarily relies on tools like ChatGPT, raising privacy concerns—especially when analyzing sensitive healthcare data—and lacks systematic validation through comparisons with human coders. This study aims to evaluate the potential of open-source LLMs for qualitative data analysis. Semi-structured …

Nanoscale Opportunities In Extracellular Matrix Mimicry, L. Andrew Lyon, Abbygail Caine, Elif Narbay, E. Daniel Cárdenas-Vásquez

Engineering Faculty Articles and Research

We present an overview of the composition, function, energetics, and dynamics of extracellular matrix and its relation to nanoscale structures and phenomena. These concepts are then related to the development of synthetic and biosynthetic materials that aim to mimic the extracellular matrix for regenerative medicine and tissue engineering technologies. Notable successes and advancements towards the goal of biomimicry are outlined, while remaining challenges and knowledge gaps towards that goal are highlighted. Finally, we frame the remaining challenges in the field in terms of nanoscience-related research opportunities that if solved, might prove to be transformative steps forward in the discipline.

Choosing China: Unpacking The Motivations Of International Students Through A Case Study In Shanghai, Yu Zhang, Tian Qin, Xiaoqiao Zhang

Health Care Administration Faculty Research

The internationalization of higher education continues to accelerate with globalization, making China one of the top host nations for international students. This qualitative case study took place at a university in Shanghai, with 76 international students from 20 countries enrolled in the same English-taught engineering program. This research explored the motivations of international undergraduate students pursuing degree programs and their overall experience in China. The research reveals four main factors that shape students’ decision-making: academic reputation, social network influence, affordability, and safety. Additionally, many students identified academic difficulties even as they acknowledged the benefits of studying in China. This study …

Selectivity Modulation Of Small Cationic Membrane-Active Cyclic Peptides With Broad-Spectrum Activity Against Bacteria And Fungi, Sandeep Lohan, Rakesh Kumar Tiwari, Innokentiy Maslennikov, Kaustav Das Gupta, Shakti Singh, Keykavous Parang

Pharmacy Faculty Articles and Research

To investigate how ring size and backbone flexibility influence antimicrobial potency and cytotoxicity, we synthesized a series of macrocyclic peptides of lead peptide p1 (c[Arg-Arg-arg-arg-dip-Trp-dip]) by incorporating Gly, 2-aminoethoxyacetic acid (EAA), or 2,4-diaminobutyric acid (Dab). Two optimized peptides, 6b and 10b, retained broad-spectrum activity against drug-resistant Gram-positive (MIC, 1.5–6.2 μg/mL) and Gram-negative bacteria (MIC, 4–25 μg/mL), as well as pathogenic fungi, while exhibiting enhanced selectivity for microbial cells. Their therapeutic indices (TI ∼407 and ∼394, respectively) were ∼2-fold higher than p1, indicating improved safety. Both peptides remained effective against Gram-negative pathogens beyond the reach of daptomycin, were rapidly bactericidal, and …

Investigating Synergistic Effects In Co-Prolysis Of Groundnut Shell And Waste Tyres On Product Distribution Under Different Blend Ratios, Murugesan Palaniappan, J Megala, Sivakumar Karthikeyan, I Paul Theophilus Rajakumar, S Dhivya, Kibrom Menasbo Hadish

Faculty, Staff and Students Publications

Amid the projected depletion of petroleum products and the severe environmental challenges, this study addresses the urgent need for sustainable alternatives to fossil fuels by investigating co-pyrolysis as a means to valorize two different wastes. Groundnut shell and scrap tyres were individually pyrolyzed at 350–600 °C, while co-pyrolysis was conducted at an optimal temperature of 500 °C using tyre blend ratios of 20%, 40%, 50%, 60%, and 80%. Product yields, synergistic effects and properties of bio-oil, char, and gas were systematically evaluated. Individual groundnut shell pyrolysis favored high CO2 and oxygenated liquids with moderate heating value, whereas tyre pyrolysis produced …

Hiv Infection, Neurotoxicity, Inflammation, Premature Aging, And Therapeutic Challenges To Plwh: An Overview, Mudit Tyagi, Ulhas P. Naik, Kratika Tyagi, Madhulika Sharma, Gagan Kaushal, Alok Bhushan, Michael Bukrinsky, Priya Tyagi

Department of Medicine Faculty Papers

HIV infection remains a major global health challenge due to its complex pathogenesis and lifelong persistence in people living with HIV (PLWH). A central barrier to eradication is the virus's ability to establish long-lived latent reservoirs in different tissues, including the central nervous system (CNS), where it evades immune clearance and antiretroviral therapy (ART). These reservoirs, seeded early during infection, fuel viral rebound if ART is interrupted, requiring lifelong treatment. In the CNS, HIV persists despite systemic viral suppression because of limited ART penetration across the blood-brain barrier (BBB), and infection of long-lived cells such as microglia and perivascular macrophages. …

Turning Zwitterions Into Toughening Agents: Salt-Activated Microdomains In Poly(Vinyl Alcohol) Double-Network Hydrogels, Louis D. Zhang, Jintao Yang, Si Yu Zheng

University Research

Zwitterionic hydrogels, although highly biocompatible, are widely regarded as mechanically fragile, with typical tensile strengths below 0.1 MPa, which restricts their use in load-bearing applications. Here, we address this limitation by integrating a polyzwitterionic network with a poly(vinyl alcohol) (PVA) network through high-speed pregelation agitation that enhances chain entanglement and induces flow orientation. By exploiting the salt-driven conformational transition of zwitterionic chains, a controlled salting-out step generates uniformly dispersed nanoscale microdomains that act as reversible energy-dissipating units. At the same time, balanced hydrogen bonding between the two networks moderates PVA crystallinity, limiting embrittlement while preserving elasticity. The resulting double-network hydrogel …

Recognizing Structural And Social Determinants Of Health In The Diagnosis And Care Of Dementia, Shana D Stites, Sharnita Midgett, Nisha Patel, Kimberly Halberstadter, Rosalie Schumann, Marissa L Streitz, Yidan Shi, John C Morris, Jason Flatt, Crystal M Glover, Dawn Mechanic-Hamilton

2020-Current year OA Pubs

Structural and social determinants of health are environmental conditions that affect individuals' health and functioning across the life course. These determinants are salient factors at the apex of individual psychology, community variables, and larger sociological factors, exerting prominent effects on individuals' wellbeing. The National Institute on Aging seeks to understand their influence on aging and Alzheimer's disease. We propose that the benefits of doing so may reach beyond knowledge of disease mechanisms - it may also improve clinical outcomes. We describe efforts introducing structural and social determinants of health data into the national network of Alzheimer's disease research centers. We …

An Interoperable Vaccine Record: A Roadmap To Realization, Paul G Biondich, Yang Gong, Dean F Sittig

Faculty, Staff and Student Publications

Objectives: The objectives of this study were to educate the healthcare professional and the general public about interoperable vaccine records by elaborating on its definition, why we need one, what the challenges are, and what progress has been made in this direction.

Methods: The vaccination practices and vaccine record-keeping in the Nordic countries, the UK, and the USA are used as examples to demonstrate the necessity of interoperable vaccine records. The authors' expertise and experience in interoperability, medicine, and HealthIT, along with the literature, informed this paper's content, structure, and organization. Real-world examples and scenarios illustrate the reality …

Comparison Of The Mars And Xgboost Algorithms For Predicting Body Weight In Kalahari Red Goats, Louis Thobela Tyasi, Cem Tirink, Kwena Mokoena, Hasan Önder, Uğur Şen, Demet Çanga Boğa, Tolga Tolun, İsmai̇l Gök, Yüksel Aksoy, Lütfi̇ Bayyurt, Ömer Faruk Yilmaz

Turkish Journal of Veterinary & Animal Sciences

Estimating goat body weight from morphometric traits is essential for growth monitoring, health management, and welfare. Accurate weight informs nutrition, clinical interventions, and mating decisions. In this study, the MARS and XGBoost algorithms were used to estimate the live weight of Kalahari Red goats based on body measurements. A dataset containing body length (BL), birth type (single, twin, or triplet), withers height (WH), rump height (RH), and heart girth (HG) information for 200 goats was used in the training and testing of the models. The performances of the models were evaluated with the goodness-of-fit criteria. XGBoost showed a performance of …

Quality Improvement Project: Provider Knowledge Improvement For Care Of The Severely Hypertensive Obstetric Patient, Victoria Abramowitz

Doctor of Nursing Practice Projects

Gaps in confidence among emergency department (ED) and maternal child health services (MCHS) staff negatively impacts effectiveness and timeliness of response to high acuity obstetric emergencies, such as severe obstetric hypertension. The purpose of this quality improvement project was to evaluate the impact on provider self-efficacy with the implementation of evidence-based education and standardized procedures for severe obstetric hypertension management, aimed at evaluating the degree of success of increasing provider confidence. The project was guided by Lewin’s change theory and Donabedian’s structure-process-outcome theoretical framework. With a quasi-experimental design and the PDSA implementation framework, 20 staff from both the ED and …

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 …

The Path Forward For T Cell Engagers In Patients With Prostate Cancer, Sumit K. Subudhi, Bilal A. Siddiqui, Kevin K. Zarrabi, William K. Kelly, Charles G. Drake

Department of Medical Oncology Faculty Papers

T cell engagers (TCEs) recruit T cells to the tumor microenvironment (TME) to induce antitumor immune responses. TCEs have demonstrated promising clinical responses in patients with metastatic castration-resistant prostate cancer and have advanced into phase 3 clinical trials. Here we provide an overview of the mechanisms of action of TCEs, including both CD3-targeted and CD28-targeted agents, and review the clinical development of these agents for prostate cancer. We propose a path forward for TCEs in prostate cancer, in which innovative clinical trials will facilitate a biological understanding of mechanisms of efficacy and toxicity to inform: (1) development of predictive biomarkers …

Microbiome-Responsive Hydrogels: From Biological Cues To Smart Biomaterials, Rajesh Vadlapatla, Amir Nasrolahi Shirazi, Ajoy Koomer, Judy Weng, Matthew Ernest Ghilarducci, Alai Qudus, Keykavous Parang

Pharmacy Faculty Articles and Research

Background: Stimuli-responsive hydrogels (SRHs) are smart polymeric materials that undergo reversible physicochemical changes in response to abiotic cues and externally applied fields, enabling applications in drug delivery, wound healing, and tissue engineering. However, they exhibit limited biological specificity and do not adequately reflect the dynamic, disease-relevant complexity of native tissue microenvironments. Microbe-colonized tissues display distinctive biochemical features driven, shaped by microbial metabolism, including localized pH gradients, short-chain fatty acid production, secretion of quorum-sensing molecules, biofilm formation, and expression of specialized enzymes. These endogenous, spatiotemporally regulated signals are closely linked to host physiology and pathology but remain underutilized in hydrogel …

Effects Of Functional Ankle Instability On Muscle Activation Latency In Ice Hockey Athletes: A Pilot Study, Nicolas Gonzalez, Tyler A. Wood, Nicholas E. Grahovec

Journal of Sports Medicine and Allied Health Sciences: Official Journal of the Ohio Athletic Trainers Association

This study examined lower extremity muscle activation latency during the push-off phase in ice hockey athletes with and without functional ankle instability (FAI). Ten athletes participated, divided into FAI and control groups based on the Identification of Functional Ankle Instability scale. Participants completed three push-off trials while wearing electromyography sensors on the tibialis anterior, fibularis longus, medial gastrocnemius, and gluteus medius. The FAI group demonstrated a significant increase in muscle activation latency across all muscles tested (p

Acute Effects Of Carbon Fiber Plate Insoles On Drop-Jump Performance And Force Characteristics In Recreationally Trained Adults, Becca Henicke, Boram Lim

International Journal of Exercise Science: Conference Proceedings

Carbon fiber plate insoles (CFPI) are designed to increase footwear stiffness and may improve elastic energy utilization during human locomotion. However, most research has focused on CFPI effects in running and sprinting, particularly endurance running, with limited evidence examining their impact on plyometric performance that relies heavily on the stretch-shortening cycle (SSC), a key mechanism underlying many sports movements.  Because SSC involves a rapid eccentric-to-concentric transition that stores and releases elastic energy, the drop jump provides a practical model to assess SSC efficiency with and without CFPI. PURPOSE: To examine the effects of CFPI on SSC efficiency and jump …

Project Score Program Manual, M. Barnard, T. Johnson, A. Ford-Wade, M. Godfrey, C. Compretta, E. Dehon, S. Nasruddin, B. Wade, W. Sparkmon, M. Presley, A. Jones-White, W. Qualen

Faculty and Student Publications

Project SCORE (student-centered outcomes research experience) is an NIH-funded year-long informal public health education program and mentored research experience utilizing a youth participatory action research (YPAR) approach and near-peer mentors (NPMs) to increase science engagement, interest in college participation, and contribute to a diverse and community-engaged health sciences pipeline.

Quality Improvement Project: Effectiveness Of Staff Education On Fall Prevention, Theresa Oahre Okoyomo

Doctor of Nursing Practice Projects

Falls increase injury and mortality rates and decrease patients' quality of life. Hospital falls also incur enormous financial burdens on hospitals. In 2008, the Centers for Medicare & Medicaid Services (CMS) stopped reimbursing hospitals for fall-related injuries. The problem addressed in this quality improvement project was staff confidence in fall prevention and hospital fall rates. The purpose is to improve staff confidence and reduce fall rates by 95 % within six weeks. The 2025 CDC/STEADI Algorithm for Fall Risk Screening, Assessment, and Intervention was the program of choice because it aligns with the hospital's fall-prevention policy. This project design is …

Human Microglia In Brain Assembloids Display Region-Specific Diversity And Respond To Hyperexcitable Neurons Carrying Scn2a Mutation, Jiaxiang Wu, Xiaoling Chen, Jingliang Zhang, Kyle Wettschurack, Morgan Robinson, Weihao Li, Yuanrui Zhao, Ye-Eun Yoo, Brody A Deming, Yue Shu, Akila D Abeyaratna, Zhefu Que, Dongshu Du, Matthew Tegtmeyer, Chongli Yuan, William C Skarnes, Zhong-Yin Zhang, Jean-Christophe Rochet, Long-Jun Wu, Yang Yang

The Brown Foundation: Institute of Molecular Medicine

Microglia critically shape neuronal circuit development and function, yet their region-specific properties and roles in distinct circuits of the human brain remain poorly understood. In this study, we generated region-specific brain organoids (cortical, striatal, and midbrain), each integrated with human microglia, to fill this critical gap. Single-cell RNA sequencing uncovered six distinct microglial subtypes exhibiting unique regional signatures, including a subtype highly enriched for the GABAB receptor gene within striatal organoids. To investigate the contributions of microglia to neural circuitry, we created microglia-incorporated midbrain-striatal assembloids, modeling a core circuit node for many neuropsychiatric disorders, including autism. Using chemogenetics to activate …

From Waitlist To Activation: Exploring Patient Barriers And Team Interactions In Kidney Transplant Readiness, Judith I. Eguzoikpe

Harrisburg University Dissertations and Theses

Kidney transplant candidates frequently experience prolonged inactive waitlist status due to incomplete readiness requirements, yet limited understanding exists regarding how patient barriers and team interactions intersect to influence activation timelines. This transcendental-phenomenological study explored how patient barriers and team dynamics contribute to delays in kidney transplant readiness, guided by Team Theory. Semi-structured interviews were conducted with 16 participants (8 patients, 8 healthcare professionals) between December 2025 and February 2026. Data were analyzed using systematic phenomenological methods to identify patterns that address patient barriers, team interaction effects, and the teamwork improvements needed for earlier activation. Five interconnected themes emerged: Navigating a …

A Qualitative Analysis Of Progress, Successes, And Challenges Among Indiana Recipients As Part Of A National Initiative To Reduce Covid-19–Related Health Disparities, Marla Winters, Lily Darbishire

Purdue Journal of Service-Learning and International Engagement

In light of the COVID-19 pandemic, the Centers for Disease Control and Prevention (CDC) provided funding to states as part of the CDC Disparities Grant initiative. The aim of the funding was to reduce chronic disease and COVID-19–related health disparities among vulnerable communities through four unique strategies. Funding was awarded to the Indiana Department of Health (IDOH) to begin an Indiana chapter of this initiative, called Indiana Healthy Opportunities for People Everywhere (I-HOPE). From 2021 to 2023, the IDOH provided I-HOPE funding to local communities (subgrantees) to support the design and implementation of programs to improve community health. For example, …