Digital Commons Network^™

Mental Health First Aid Training In K-12 Schools, Jenna L. Workman, Brianna L. Schierberg, Grace H. Sullivan, Erin Robinson

Posters-at-the-Capitol

The increasing prevalence of mental health challenges among school-aged children has become a rising public health concern. Recent data indicates that nearly 70% of schools report heightened mental health problems among students, with anxiety and depression being most common (National Center for Education Statistics, 2024). The purpose of this capstone project is to raise awareness of mental health issues in K–12 public schools and to increase faculty and staff confidence in recognizing and assisting students experiencing mental health difficulties through nurse-led Mental Health First Aid (MHFA) training. Using Peplau’s Interpersonal Relations Theory as a guiding framework, this project emphasizes the …

The 24 Hour Rule: Science Over Subds Improving Newborn Physiological Stability, Paige Orth, Grace Brown, Jena Rhoads, Erin Robinson

Posters-at-the-Capitol

The first few hours after birth are the most crucial period in a newborn’s life. Adapting to a world outside of the womb can be both challenging and stressful, leaving the neonate susceptible to many health complications. The purpose of this project is to explore if delaying the first bath for 24 hours improves the physiological stability of the newborn. Bathing time policies vary among hospitals, and there is no clear set time to follow. The importance of this project is to address the inconsistencies throughout hospital bathing policies and implement a specific 24-hour policy. Multiple databases were used to …

The Effects Of Antihistamines On Drowsiness, Symptom Relief, And Restless Leg Syndrome, Suki Kaur

Posters-at-the-Capitol

“Antihistamine” categorizes a large selection of drugs, all with different side effects and user experiences. This study explores the relationships between allergy medicine usage, side effects, symptom relief, and Restless Leg Syndrome (RLS) using data collected from 113 participants of an anonymous online survey. Five hypotheses were tested using chi-square analyses of independence at a significance level of 0.05. The data revealed a strong statistical association between first-generation antihistamine (Benadryl) use and drowsiness, misuse of allergy medicine and RLS, drowsiness and RLS, and duration of use and routine disruption. The data did not find a statistically significant relationship between relief …

Digital Morality And National Values: Pancasila As An Ethical Compass For Technology-Enhanced Counseling In Indonesia, Dominikus David Biondi Situmorang, Hendrik Tuaputimain, Muqaffi Muqaffi, M. Solehuddin

Buletin Konseling Inovatif

The very fast development of Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) in the last decade have changed the way of mental health practice internationally, including Indonesia. Although these technologies extend reach, deepen therapeutic engagement, and facilitate clinical analysis, they also present serious ethical challenges with respect to privacy, algorithmic bias, depersonalization, and disparity. This integrative review draws on literature from counseling, digital ethics, immersive technologies, and Indonesian philosophical studies to consider how Pancasila can serve as a culturally situated ethical guide for technology-mediated counseling. The results disclose four overarching themes: shifting role of …

Interpretable Linear Models For Heart Disease Prediction: A Comparative Study, Dipok Deb, Emran Hossain

Data Science and Data Mining

Heart disease remains a leading cause of mortality worldwide, underscoring the importance of accurate and transparent methods for early diagnosis. While many machine learning and artificial intelligence models have demonstrated strong predictive performance, their limited interpretability poses challenges for clinical adoption. In this study, we evaluate three interpretable linear classification models—Generalized Linear Model (GLM) logistic regression, L1-regularized (Lasso) logistic regression, and Linear Discriminant Analysis (LDA)—for heart disease prediction using the Cleveland Heart Disease dataset. Following comprehensive data preprocessing, the models are assessed on a held-out test set using standard evaluation metrics, including accuracy, precision, recall, F1-score, and the area under …

Psychological Resilience In The Covid-19 Response: A Systematic Review For Future Public Health Preparedness, Atena Pasha, Abdul-Hanan Saani Inusah, Jannatun Nayem, Xiaoming Li, Shan Qiao

Faculty Publications

Objective: The COVID-19 pandemic has highlighted the importance of psychological resilience for well-being. While several reviews have addressed resilience in specific populations or contexts, few have synthesized global literature across diverse populations. This review examines psychological resilience across diverse populations, focusing on measurement, associated factors, and future public health preparedness strategies. Method: Guided by the PRISMA, a thorough search of PsycINFO, PubMed, ScienceDirect, and Web of Science was conducted in February 2024, including quantitative studies considering psychological resilience during the COVID-19 pandemic published in peer-reviewed English journals from 2020 to 2024, using search terms relevant to psychological resilience and COVID-19. …

Executive Leadership System Improvement Mobile Lung Cancer Screening, Tracy Holladay

Walden Dissertations and Doctoral Studies

This doctoral project is an evidence‑based practice initiative to develop a mobile lung cancer screening program that expands early detection services in rural Arkansas. The practice problem involves low screening rates, high mortality, and access barriers that delay diagnosis for high‑risk individuals, making this work essential to nursing roles in prevention, coordination, education, and population health. The practice focused question examined whether creating a Mobile Lung Cancer Screening Unit proposal will support timely referrals and treatment. The purpose of the project was to design a feasible, evidence informed model aligned with organizational capacity and equitable access goals. Analytical strategies included …

Staff Education To Emergency Nurses On Improving Handoff Communication Using The I-Pass Tool, Lekeyna Gleason

Walden Dissertations and Doctoral Studies

Effective communication during nurse-to-nurse handoff remains a critical determinant of patient safety in high-acuity emergency settings, where rapid decisions and fluctuating clinical demands can lead to inconsistent structure, omission of critical information, and inefficient transitions of care. The practice gap identified was a lack of standardized knowledge and consistent use of a structured bedside handoff tool among emergency department (ED) nurses. The practice-focused question guiding this project was, Does educating ED nurses on using the I-PASS bedside handoff tool improve knowledge of structured bedside reporting as measured by pre- and post-implementation surveys? The ADDIE framework and the Johns Hopkins evidence-based …

Staff Education For The Management Of Chronic Pain In Patients With Mental Health Disorders, Jude Osagie Ukpebor

Walden Dissertations and Doctoral Studies

This Doctor of Nursing Practice project was a practice-focused quality improvement staff education initiative designed to address a gap in nurses’ knowledge related to chronic pain management in patients with mental health disorders. Chronic pain frequently coexists with psychiatric conditions, yet nurses often lack formal education on biopsychosocial, trauma-informed, and non-pharmacologic pain management approaches, contributing to fragmented and inequitable care. Addressing this gap is essential to improving patient outcomes and advancing evidence-based nursing practice. The practice-focused question asked whether implementing a targeted nurse education program would improve nurses’ knowledge related to chronic pain management in patients with mental health disorders. …

Assessment Of Parental Knowledge And Anxiety Surrounding The Informed Consent Discussion For Neonatal Cardiac Interventions, Kristal Mancuso Hock

ETDs from 2020-2029

The purpose of this dissertation was to explore the complexities of the informed consent (IC) process in the context of neonatal cardiac interventions, with a focus on parental knowledge and anxiety during decision-making. Across three manuscripts, this work examined conceptual dimensions, feasibility, and acceptability of a new prenatal treatment (palliative care (PC) support sessions), and the effect sizes of this new treatment on parental knowledge and anxiety levels surrounding the IC discussion for neonatal cardiac palliations. The first manuscript employed dimensional analysis to conduct a concept analysis of IC in surgical care. The review of 27 publications revealed three distinct …

A Comparison Of The Effectiveness Of Salmonella-Shigella (Ss) Agar And Xylose Lysine Deoxycholate (Xld) Agar In Supporting The Growth Of Salmonella Sp. And Shigella Sp., Ika Ningsih, Kharisma Winnie Chryssantium Tiro

Indonesian Journal of Medical Chemistry and Bioinformatics

Diarrheal diseases caused by Salmonella sp. and Shigella sp. are among the most significant public health challenges worldwide, especially among children. To identify these bacteria, Salmonella-Shigella (SS) and Xylose Lysine Deoxycholate (XLD) agar media are used, which are selective and differential for Salmonella sp. and Shigella sp. Although these media share similar properties and functions for growing Salmonella sp. and Shigella sp., results from previous studies differ from those obtained in tests conducted by the Department of Microbiology, Faculty of Medicine, University of Indonesia. This laboratory-based experimental study used serial dilution with three replicates (triplicate). Based on SNI 2897 of …

Bringing The Heat: Optimizing Current Feed Warming Practices For Hospitalized Infants, Kaitlyn Ballard, Christine Nguyen, Madison Pavelka, David Rice, Yesica Rivas, Hannah Gabrielle Sellers, Nathan Xie

2025

No abstract provided.

What's New With Journal Subscriptions And Open Access Fee Waivers (2026), Rebecca Bealer Mlis, Lsu Health Libraries

Library Instruction

2026 brings a few changes to journals and fee waivers offered by the Library. We will cover journals added and cancelled, as well as continuing and new open access and fee waiver agreements. Recorded session from the information session that took place on January 28, 2026.

Translating Cardiovascular Ion Channel And Ca2+ Signalling Mechanisms Into Therapeutic Insights, Gonzalo Hernandez Hernandez, Donald M Bers, Patrick M Boyle, Dobromir Dobrev, Shanna Hamilton, Osama F Harraz, Na Li, Thomas A Longden, William E Louch, Madeline Nieves-Cintron, Matthew A Nystoriak, Walter Lee Murfee, Przemysław B Radwański, Swapnil K Sonkusare, Manuel F Navedo, Eleonora Grandi

Faculty, Staff and Students Publications

Cardiovascular diseases remain the leading cause of mortality worldwide, driven by complex, multi-scale mechanisms that span molecular, cellular, and organ-level dysfunction. Effective therapeutic strategies therefore require integrative approaches that link fundamental biology to translational applications. The 8th UC Davis CardioVascular Symposium gathered experts in ion channel biophysics, Ca2+ signaling, arrhythmia mechanisms, and cardiovascular physiology to discuss recent advances and define emerging priorities. This white paper synthesizes the key themes and consensus points that emerged, highlighting progress in two core domains: (1) advances in cardiovascular electrophysiology and arrhythmia mechanisms, and (2) spatiotemporal dynamics of Ca2+ signaling in cardiac and vascular function …

Kdm4a Promotes Nepc Progression Through Regulation Of Myc Expression, Xin Liang, Xiaoxuan Wang, Fei Yuan, Feng Wang, Anh G Hoang, Xingzhi Song, Peter Shepherd, Derek Liang, Jessica Suh, Jordan Contreras, Thisawin Dang, Cindy Yan, Brandon Figueroa, Mathias Mazzocco, Athena Luo, Bijeta Pradhan, Jiwon Park, Mirrah Bashir, Miao Zhang, Eric Metzger, Roland Schüle, Abhinav K Jain, Ellen Karasik, Daniel Frigo, Barbara A Foster, Min Gyu Lee, Paul Corn, Christopher J Logothetis, Ana Aparicio, Nora Navone, Patricia Troncoso, Zhi Tan, Jianhua Zhang, Sue-Hwa Lin, Guocan Wang

Faculty, Staff and Students Publications

Neuroendocrine prostate cancer (NEPC) is a highly aggressive and lethal subtype of prostate cancer (PCa) that often emerges in response to androgen receptor pathway inhibitors (ARPIs), which are widely used in treating metastatic castration-resistant and hormone-sensitive prostate cancer. The incidence of NEPC is increasing, yet effective therapeutic strategies remain limited due to an incomplete understanding of its molecular drivers. Through transcriptomic analyses of human prostate tumor samples, we identified the histone lysine demethylase KDM4A as uniquely overexpressed in human and mouse NEPC compared to prostate adenocarcinoma. Functional validation demonstrated that KDM4A is a key regulator of NEPC progression and a …

Assessment Of Knowledge, Attitude And Behaviors Towards Invasive Meningococcal Disease And Its Vaccination Among Young Adults In Saudi Arabia: A Cross-Sectional Study, Wesam Osama Mandoura, Anmar Abdullah Bijar, Anmar Aiman Rehbini, Ghali Ghalib Alhindi

Saudi Toxicology Journal

Background: Invasive meningococcal disease (IMD) remains a life-threatening infection associated with high mortality and long-term morbidity. Effective vaccines are available but meningococcal vaccination in Saudi Arabia is not mandatory outside specific high-risk groups. Public knowledge, attitudes and behaviors (KAB) toward IMD and its vaccination play a pivotal role in disease prevention and vaccine uptake. Methods: A cross-sectional survey was conducted among 382 residents of Saudi Arabia between July and August 2024 using a validated, Arabictranslated questionnaire distributed via social media. The survey assessed socio-demographic characteristics, knowledge of IMD, attitudes toward vaccination, vaccination behaviors and sources of information. Knowledge scores were …

Editorial: Next-Generation Protacs In Oncology And Beyond: Exploring Therapeutic Targets And Their Degraders, Daiqing Liao, Debasish Bandyopadhyay

School of Integrative Biological & Chemical Sciences Faculty Publications

No abstract provided.

Staff Education To Enhance Psychiatric Medication Adherence In Psychiatric Care, Emmanuel Nusta

Walden Dissertations and Doctoral Studies

Medication non-adherence affects 49% of psychiatric patients and contributes to poor outcomes and increased hospitalizations. At the project site, 40% of patients demonstrated suboptimal adherence and 12 medication-related incidents occurred. Nursing staff lacked specialized training in motivational interviewing and comprehensive adherence assessment. This project developed and implemented an evidence-based educational program to enhance nursing competencies in psychiatric medication adherence counseling. Seven nursing staff members (5 registered nurses, 2 licensed practical nurses) participated in a 90-minute session incorporating the four-domain assessment framework, motivational interviewing techniques, and psychoeducational strategies. The ADDIE framework guided program development with interactive discussions, case-based learning, and role-play …

Pemodelan Regresi Logistik Spasial Pada Kejadian Demam Berdarah Dengue (Dbd) Di Provinsi Jawa Barat Tahun 2023, Valida Ulfa Septiana, Sutanto Priyo Hastono

Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan

Demam Berdarah Dengue (DBD) merupakan salah satu penyakit menular yang masih menjadi masalah kesehatan masyarakat di Indonesia, termasuk Provinsi Jawa Barat, dengan rata-rata kejadian yang lebih tinggi dari rata-rata nasional. Analisis spasial diperlukan untuk memahami pola penyebaran DBD, mengingat adanya kemungkinan pengaruh antar wilayah. Penelitian ini bertujuan untuk menganalisis pengaruh faktor sosio-demografi, faktor perilaku, serta efek spasial kedekatan geografis antar wilayah terhadap kejadian DBD di Provinsi Jawa Barat tahun 2023. Penelitian ini menggunakan desain potong lintang dengan unit analisis 27 kabupaten/kota di Jawa Barat tahun 2023. Data sekunder diperoleh dari Survei Kesehatan Indonesia 2023 dan Jawa Barat dalam Angka 2024. …

Designing Inclusive Newborn Sequencing Research: Insights From Parents In Underrepresented Communities, Maya C Del Rosario, Sheyenne A Walmsley, Barbara W Harrison, Crystal T Stephens, Bethany Zettler, Greysha Rivera-Cruz, Priyal Agrawal, Amy Brower, Stephanie Chigbu, Kurt D Christensen, Casie A Genetti, Richetta Givens, Nina B Gold, Inez V Reeves, Isabella Schichter, Habib Shariat, Sandra Simon, Hadley Stevens Smith, Melissa Uveges, Robert C Green, Ingrid A Holm, Stacey Pereira

Center for Medical Ethics and Health Policy Staff Publications

Background: It is essential that studies of genomic sequencing (GS) in newborns and children include individuals from under-represented racial and ethnic groups (URG) to ensure future applications are equitably implemented. We conducted interviews with parents from URG to better understand their perspectives on GS research, develop strategies to reduce barriers to enrollment, and facilitate research participation.

Methods: Semi-structured interviews with 50 parents from URG.

Results: Nearly all parents said they would be interested in participating in an infant GS study. Parents were interested in participating in GS research for reasons including clinical utility, personal utility, and/or family health benefits. Deterrents …

The Effects Of Ovine-Derived Reinforced Tissue Matrix Surrounding Silicone-Based Implants In A Rat Prepectoral Reconstruction Model, Sai L Pinni, Cameron Martin, Nicholas Fadell, Xiaochao Xia, Evan Marsh, Lauren Schellhardt, Xiaowei Li, Matthew D Wood, Justin M Sacks

2020-Current year OA Pubs

Silicone-based implants have been widely used in breast reconstruction but have also been associated with poorly understood complications, including pathologic foreign body responses such as capsular contracture. In this study, we leveraged 3D-printing technology to generate silicone-based implants in a novel, anatomically relevant, prepectoral rat model. We used this model to evaluate the response to an extracellular matrix-based product: ovine-derived reinforced tissue matrix (RTM). Two-piece negative molds were developed through computer-aided design and 3D-printed. The molds were filled with various polydimethylsiloxane mixtures and dip-coated to fabricate implants. Implant material characterization revealed that the implants retained the original 3D-printed mold shape …

Defining The Heterogeneous Molecular Landscape Of Lung Cancer Cell Responses To Epigenetic Inhibition, Chuwei Lin, Catherine M Sniezek, Christopher D Mcgann, Rashmi Karki, Ross M Giglio, Benjamin A Garcia, José L Mcfaline-Figueroa, Devin K Schweppe

2020-Current year OA Pubs

Epigenetic inhibitors exhibit powerful antiproliferative and anticancer activities. However, cellular responses to small-molecule epigenetic inhibition are heterogeneous and dependent on factors such as the genetic background and metabolic state of cells, as well as on-/off-target engagement of individual small-molecule compounds. The molecular study of the extent of this heterogeneity often measures changes in a single cell line. To more comprehensively profile the effects of small-molecule perturbations and their influence on heterogeneous cellular responses, we present a molecular resource based on the quantification of chromatin, proteome, and transcriptome remodeling due to histone deacetylase inhibitors (HDACi) in non-isogenic cell lines. Through quantitative …

Mast Cells Promote Pathology And Susceptibility In Tuberculosis, Ananya Gupta, Vibha Taneja, Javier Rangel-Moreno, Nilofer Naqvi, Abhimanyu, Yun Tao, Mushtaq Ahmed, Kuldeep Singh Chauhan, Daniela Trejo-Ponce De Leon, Gustavo Ramírez-Martínez, Luis Jiménez-Alvarez, Cesar Luna-Rivero, Joaquin Zuniga, Deepak Kaushal, Shabaana A Khader

2020-Current year OA Pubs

Tuberculosis (TB), caused by the bacterium

From Latent Manifolds To Targeted Molecular Probes: An Interpretable, Kinome-Scale Generative Machine Learning Framework For Family-Based Kinase Ligand Design, Gennady M. Verkhivker, Ryan Kassab, Keerthi Krishnan

Mathematics, Physics, and Computer Science Faculty Articles and Research

Scaffold-aware artificial intelligence (AI) models enable systematic exploration of chemical space conditioned on protein-interacting ligands, yet the representational principles governing their behavior remain poorly understood. The computational representation of structurally complex kinase small molecules remains a formidable challenge due to the high conservation of ATP active site architecture across the kinome and the topological complexity of structural scaffolds in current generative AI frameworks. In this study, we present a diagnostic, modular and chemistry-first generative framework for design of targeted SRC kinase ligands by integrating ChemVAE-based latent space modeling, a chemically interpretable structural similarity metric (Kinase Likelihood Score), Bayesian optimization, and …

The Cortico-Cortical And Subcortical Circuits Of The Human Brain Language Centers Including The Dual Limbic And Language Functioning Fiber Tracts, Arash Kamali, Nithya P Narayana, Anastasia Loiko, Anusha Gandhi, Paul E Schulz, Manish N Shah, Larry A Kramer, Jay-Jiguang Zhu, Haris Sair, Roy F Riascos, Khader M Hasan

Faculty, Staff and Student Publications

Background/Objectives: In recent years, MRI-based diffusion-weighted tractography techniques have uncovered additional white matter pathways that have significant roles in language processing and production. In this review, we aim to outline the major language centers of the brain and major language pathways along with association tracts that serve dual roles in both the language and limbic systems. According to the current dual-stream model of language processing, the brain's language network is organized into a dorsal stream, responsible for mapping sound to articulation, and a ventral stream, which maps sound to meaning.

Materials and Methods: The literature cited in this …

A Robust Convnext-Based Framework For Efficient, Generalizable, And Explainable Brain Tumor Classification On Mri, Kirti Pant, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Background: Accurate and dependable brain tumor classification from magnetic resonance imaging (MRI) is essential for clinical decision support, yet remains challenging due to inter-dataset variability, heterogeneous tumor appearances, and limited generalization of many deep learning models. Existing studies often rely on single-dataset evaluation, insufficient statistical validation, or lack interpretability, which restricts their clinical reliability and real-world deployment.

Methods: This study proposes a robust brain tumor classification framework based on the ConvNeXt Base architecture. The model is evaluated across three independent MRI datasets comprising four classes-glioma, meningioma, pituitary tumor, and no tumor. Performance is assessed using class-wise and aggregate metrics, including …

Identification Of Slc3a2 As A Potential Therapeutic Target Of Ferroptosis In Bladder Cancer, Qi Yang, Dewang Zhou, Aaron Beasley, Yujun Liu, Zeqin Yan, Hu Fang, Yuqing Li, Elin S. Gray

Research outputs 2022 to 2026

Bladder cancer (BC) represents the most prevalent malignancy within the urinary system. Mounting evidence underscores the critical involvement of ferroptosis in cancer pathogenesis; Consequently, this study delves into its molecular underpinnings and therapeutic potential specifically in BC. Methods: We analyzed gene expression profiles from The Cancer Genome Atlas (TCGA) and the Gene Expression Om-nibus (GEO) repositories. Ferroptosis-related genes (FRGs) were selected from the FerrDb database. Utilizing systematic bioinformatics analyses, we identify differentially expressed and prognostic FRGs and construct an FRGs prognostic model. Combined with protein-protein interaction (PPI) analysis, solute carrier family 3 member 2 (SLC3A2) was selected for further study. …

May-Thurner Syndrome As A Cause Of Phlegmasia Cerulea Dolens, Emma Pierce, Anjeza Cipi, Rebecca Dray

Eastern Virginia Medical Journal

We report the case of a healthy 24-year-old female who presented with acute-onset left leg pain and a clinical exam consistent with phlegmasia cerulea dolens. Imaging revealed extensive occlusive thrombosis of the left common iliac vein with signs of arterial compromise. She was started emergently on intravenous anticoagulation and underwent thrombectomy with angioplasty. Intraoperative findings were consistent with May-Thurner syndrome (MTS) – compression of the left iliac vein by the right iliac artery. This syndrome leads to impaired venous return and thrombosis. The patient was discharged on oral anticoagulation with vascular follow-up for possible iliac vein stenting. Recognition of this …

Knowing Heart, Lisa Phan

Stimulus: A Medical Humanities Journal

No abstract provided.

N-Acetylcysteine Is Associated With Changes In Functional Connectivity In Patients With Parkinson's Disease, Daniel A. Monti, George Zabrecky, Daniel Kremens, Tsao-Wei Liang, Nancy A. Wintering, Faezeh Vedaei, Emily Navarreto, Monisha Gupta, Alicia Steinmetz, Anthony J. Bazzan, Feroze Mohamed, Andrew B. Newberg

Marcus Institute of Integrative Health Faculty Papers

INTRODUCTION: This study assessed the changes in functional connectivity from resting functional magnetic resonance imaging (fMRI) in patients with Parkinson's disease (PD) given N-Acetylcysteine (NAC), the prodrug to L-cysteine and a precursor to the natural biological antioxidant glutathione (GSH). The aim of this study was to determine whether NAC is associated with changes in functional connectivity, particularly in the basal ganglia, and improvements in Parkinson's symptoms.

METHODS: Forty-four patients with PD were randomized to either weekly intravenous infusions of NAC (50 mg/kg) plus oral doses (500 mg twice per day) for six months plus standard of care, or standard of …