Digital Commons Network^™

Biologically-Inspired Multiscale Neuromorphic Architecture, Christian O'Reilly, Ramtin Zand

Publications

This white paper proposes a biologically-inspired multiscale neuromorphic architecture that bridges key gaps between artificial neural networks (ANNs), spiking neural networks (SNNs), and biological neural networks (BNNs). While SNNs offer promising energy efficiency, their broader adoption remains limited by suboptimal performance and the need for novel learning paradigms. To address these challenges, the proposed framework integrates structural and functional principles observed in the brain, including hierarchical organization, sparse and modular connectivity, predictive coding, and diverse neuronal dynamics.

The architecture operates across micro-, meso-, and macro-scales, incorporating neuron-level diversity (e.g., excitatory/inhibitory and principal/support cells), canonical microcircuits (CMCs), and large-scale hierarchical organization. …

Obstructive Sleep Apnea Prediction: A Comprehensive Review And Comparative Study, Thi Khanh Chi Huynh, Amonae Dabbs-Brown, Anna Jurek-Loughrey, James Mulhall, Tuan Dung Pham, Ngoc Phu Doan, Viet Hung Tran, Zichi Zhang, Xuan Hoang Nguyen, Yimeng An, Peixin Li, Phi Hung Nguyen, Thi Linh Hoang, Xinming Shi, Hans Vandierendonck, Sebastien Bailly, Jean-Louis Pépin, Thai Son Mai

Research Collection School Of Computing and Information Systems

Obstructive Sleep Apnea (OSA) is a highly prevalent sleep disorder linked to considerable public health burdens and comorbidities. However, its heterogeneous presentation and the limited accessibility of traditional diagnostic tools such as polysomnography (PSG) lead to widespread underdiagnosis. As a result, artificial intelligence (AI) approaches, including machine learning (ML) and deep learning (DL) models, have attracted attention as an alternative pathway to detection. This paper first provides a comprehensive review of AI-driven OSA diagnosis, covering different diagnosis problems, input-data types, data biases, pre-processing techniques, and model performance. We then leverage the largest clinical dataset used in OSA prediction to date, …

Monosaccharide Binding To Synthetic Carbohydrate Receptor Microarrays, Milan A. Shlain

Dissertations, Theses, and Capstone Projects

Chapter 1: A glycan detection platform comprised of synthetic carbohydrate receptors (SCRs) immobilized onto polymer brushes was prepared. SCR043, an alkene-containing SCR, was incorporated into grafted-from polymer brushes using hypersurface photolithography, resulting in microarrays of SCR043-functionalized polymer brushes, where brush height (h) and SCR grafting density (Γ) is controlled precisely at each feature in the array. The influence of h and Γ on the binding to five fluorescently labelled monosaccharides – α-glucose (α-Gluc-FL), α-galactose (α-Gal-FL), α-mannose (α-Man-FL), β-glucose (β-Gluc-FL), and β-galactose (β-Gal-FL) – in aqueous buffer …

Sit, Stay, And Teach: Exploring Teachers' Perceptions Of Facility Dogs' Impact On Stress And Retention, Dennis Powers

Graduate Student Dissertations, Theses, Capstones, and Portfolios

The teaching profession remains at a high level of workplace stress, a factor contributing to teacher burnout and turnover. The study examines how teachers in K-12 public education perceived that facility dogs might reduce stress, increase job satisfaction, and aid in teacher retention in public schools of a southeastern state. The study employed a qualitative, cross-sectional survey that was emailed to 112,546 educators from a LISTSERV request. A total of 1,242 individuals provided informed consent and completed the survey, which consisted of Likert-scale measurement items, open-ended questions, and an informational video inserted to achieve a common understanding of the facility …

Integration Of One Health Activities Into Professional Student Education: Successes, Challenges, And Considerations, Karen Gruszynski, Mary Beth Babos, Reagan Bishop, Debra Sullivan, Laroy Brandt

All Faculty and Staff Scholarship

Interprofessional Education (IPE) creates opportunities for multiple disciplines to learn from each other and develop soft skills to improve patient care. One Health similarly emphasizes collaborative and interdisciplinary practice while recognizing the interconnectedness between human, animal, and environmental health. Despite the intersection of IPE and One Health, the meaningful integration of One Health within IPE remains uneven and difficult to operationalize. This perspective synthesizes experiences from multi-college programs implementing One Health-oriented IPE, highlighting successes, challenges, and structural requirements. We argue that for One Health to be successfully integrated into IPE for professional students, it requires extensive logistical planning, coordinated institutional …

Controlled Antibiotic Release From Emulsion-Loaded Alginate And Fibrin Hydrogels Using Ultrasound, Ziba Ghareh Nazi Fam, Asia Winslow, Mario Fabiilli, Sam Varghese, Brian Oeffinger, Flemming Forsberg, Noreen Hickok, Lauren Delaney

Department of Radiology Faculty Papers

Postoperative infections remain a major complication after spinal fusion surgery, often caused by biofilm-forming bacteria that resist short-term antibiotic prophylaxis. Vancomycin (VAN) is sometimes delivered locally during surgery; however, levels diminish rapidly, leaving patients vulnerable to late-onset infections. We developed a composite hydrogel integrating perfluorohexane-based emulsions within alginate or fibrin matrices to enable both sustained and ultrasound-triggered VAN release. Water-in-oil-in-water emulsions were prepared using fluorosurfactant-stabilized perfluorohexane as the volatile oil phase, then embedded in hydrogels and exposed to ultrasound (2.5 MHz, 5.5 MPa peak negative pressure) to initiate acoustic droplet vaporization for triggered release. Drug release was quantified spectrophotometrically and …

Hootation: A Gui And Api Library For Ontology Validation And Verbalization., Muhammad Amith, Xubing Hao, Warren Manuel, Manqi Li, Shun Rao, Kirk Roberts, Hua Xu, Yang Gong, Frank Manion, Cui Tao, Licong Cui

Faculty, Staff and Student Publications

Ontology verbalization refers to the process of translating formal axioms into natural language expressions. The primary objective is to facilitate the review and validation of ontology content by subject matter experts without requiring extensive technical expertise. While previous approaches based on templates or controlled grammar have been effective, they often face limitations in scalability, fluency, and adaptability. To address these issues, we developed Hootation, an open-source software system that supports ontology verbalization through both a graphical user interface and an API library. The tool implements rule-based translation of OWL2 axioms and further incorporates optional Large Language Model (LLM) components for …

A Guide To Transcriptomic Deconvolution In Cancer, Yaoyi Dai, Shuai Guo, Yidan Pan, Carla Castignani, Matthew D Montierth, Peter Van Loo, Wenyi Wang

Faculty, Staff and Student Publications

Cancer tissues are heterogeneous mixtures of tumour, stromal and immune cells, where each component comprises multiple distinct cell types and/or states. Mapping this heterogeneity and understanding the unique contributions of each cell type to the tumour transcriptome is crucial for advancing cancer biology, yet high-throughput expression profiles from tumour tissues only represent combined signals from all cellular sources. Computational deconvolution of these mixed signals has emerged as a powerful approach to dissect both cellular composition and cell-type-specific expression patterns. Here, we provide a comprehensive guide to transcriptomic deconvolution, specifically tailored for cancer researchers, presenting a systematic framework for selecting and …

Demographic And Other Correlates Of Non-Prescription Drug Use Among College Students During The Covid-19 Pandemic, Subi Gandhi, Sidketa Fofana, Md Rafiul Islam, Tamer Oraby

School of Mathematical & Statistical Sciences Faculty Publications

Background and objectives: Substance use among college students in the U.S. remains a pressing concern and may have intensified during the COVID-19 pandemic due to increased stress, uncertainty, and academic disruptions. This study investigates the relationship between non-prescription drug use and various demographic, mental health, and behavioral factors among college students during the pandemic's early stages.

Methods: Data were collected through online and in-person surveys in the summer semester of 2021. Behavioral health was assessed using validated instruments: the Patient Health Questionnaire-9 (PHQ-9) for depression and the Drug Abuse Screening Test-20 (DAST-20) for substance use. Demographic and behavioral variables were …

Harmonizing Neuropsychological Test Data Across Prospective Studies, Rosita Shishegar, James D. Doecke, Yen Ying Lim, Pierrick Bourgeat, Vincent Dore, Bhargav Tallapragada, Simon M. Laws, Tenielle Porter, Samantha Burnham, Azadeh Feizpour, Ashley Gillman, Michael Weiner, Jason Hassenstab, Christopher C. Rowe, Victor L. Villemagne, Colin L. Masters, Jurgen Fripp, Hamid Sohrabi, Paul Maruff

Research outputs 2022 to 2026

Introduction: Alzheimer's disease (AD) research relies on large datasets and advanced statistical models. However, individual population studies often lack sufficient sample size for conclusive results. Harmonizing cognitive test data across studies can address this gap, despite differences in testing protocols. This study harmonizes cognitive data from three major AD cohorts to support robust clinical–pathological modelling. Methods: Information from the Alzheimer's Disease Neuroimaging Initiative (N = 1446); Australian Imaging, Biomarkers and Lifestyle (N = 1764); and Open Access Series of Imaging Studies-3 (N = 440) were integrated, including cognitive scores, demographics, genetics, and clinical and neuroimaging data. Neuropsychological tests relevant to …

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, Vivek Kashyap, Neeraj Chauhan, Dae Joon Kim, Nirakar Sahoo, Tamer Oraby, Murali Yallapu, Subhash Chuahan, Bilal Hafeez

School of Medicine 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 …

The Changing Landscape Of Pediatric Cardiology Fellowship Applications: An Update On Objective Metrics And Current Evaluation Practices, William B Kyle, Tam T Doan, James C Wilkinson

Faculty, Staff and Students Publications

The application process for medical training fellowships has evolved significantly over the last decade. Important changes in access to quantitative data, the standardized application itself, and an unprecedented shift in the interview process have forced fellowship leaders to alter their evaluation process. This study aimed to assess each of those aspects of the pediatric cardiology fellowship application process. We review the application itself, focusing on the Experiences section of the Electronic Residency Application Service (ERAS) evaluation and the Pediatric Cardiology Fellowship Evaluation Form, which accompanies each letter of recommendation (LOR). In addition to these novel analyses, we present peer-reviewed literature …

Nested Ecosystems Theory For Conceptualizing Brain Tumors, Lori A Forster, David H Gutmann

2020-Current year OA Pubs

The application of advanced multi-omic methodologies to studying brain tumors has culminated in the appreciation that these cancers function as ecosystems that depend on the interactions of a diverse collection of cell types and signals. This connectivity operates not only at the level of the cancer cell, in which variants create new growth dependencies, but also between tumor cells and the immediate tumor microenvironment, between tumor cells and cell populations residing elsewhere in the brain tissue or body, and in response to extracorporeal factors. The cellular and molecular relationships within these four interrelated strata (intracellular, extracellular, intracorporeal and extracorporeal) act …

Accelerated Diffusion Basis Spectrum Imaging With Tensor Computations, Kainen L Utt, Jacob S Blum, Donsub Rim, Sheng-Kwei Song

2020-Current year OA Pubs

This paper introduces an advanced framework for accelerated processing of diffusion-weighted imaging (DWI) data that utilizes an entire-image modeling approach to optimize the estimation of diffusion parameters from DWIs by mapping input diffusion data to predicted signals and estimating parameter values via a stochastic gradient descent optimizer (Adam). To validate this approach, we applied this framework to diffusion basis spectrum imaging (DBSI) and analyzed in vivo human brain and ex vivo mouse brain DWIs. Results demonstrate significant improvements to computational speed and signal-to-noise ratio (SNR) in estimated parameter maps compared to standard DBSI. Our approach is applicable to any diffusion …

Analysis Of Coverage Of Tuberculosis Prevention Therapy (Tpt): Literature Review, Septia Rahmalina, Ede Surya Darmawan

Journal of Indonesian Health Policy and Administration

Tuberculosis Preventive Therapy (TPT) is a crucial intervention for tuberculosis (TB) control, particularly among high-risk groups such as household contacts of TB patients and people living with Human Immunodeficiency Virus (HIV). Despite being recommended by the World Health Organization (WHO), TPT implementation still faces challenges at the primary care level. This study employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method to review 11 articles published between 2021 and 2025 that were relevant to TPT implementation in various high-TB burden countries, including Indonesia. The main barriers identified were input (logistics, training), process (tracing, education, monitoring), and output …

A Virtual-Reality-Based Dental Simulator For Endodontics With Automated Formative Feedback, Yousef Salah Abo El Ela

Theses and Dissertations

Advancements in virtual reality (VR) and haptic technology are transforming the landscape of medical and dental education, offering new avenues for safe, immersive, and repeatable training experiences. Within dentistry, endodontics presents unique challenges for preclinical education due to anatomical complexity, limited access to extracted teeth, ethical concerns, and the shortcomings of conventional plastic models. Despite endodontics specific plastic teeth being available, they fall short of replicating the hardness of real extracted teeth, are relatively costly compared to generic plastic teeth, and are ultimately a disposable item which makes them inadequate as a sustainable long-term solution. Extracted teeth do a much …

Mechanical Characterization And Modeling Of Rat Myocardia Under The Influence Of Epirubicin, Abdallah Mahmoud Alkhaiyat

Theses and Dissertations

Cancer remains a predominant health challenge that is responsible for a significant portion of global morbidity and mortality. Epirubicin (EPI), a chemotherapeutic anti-cancer drug, has shown remarkable efficacy in combating various malignancies. However, it is known to have undesirable side effects on the heart, collectively referred to as cardiotoxicity. This research investigates the adverse effects of chemotherapy on cardiac contractility through an in vitro examination of the mechanics of healthy and infarcted animal heart tissues. Electrically stimulated slices of rat ventricular tissue were tested using an isometric force measurement tissue bath. The tissue slices were subjected to uniaxial stretching, allowing …

Evaluation Of Large Language Models As Decision Support Tools For Head And Neck Cancer Management: A Blinded Multidisciplinary Simulation Study, Sholem Hack, Ron J. Karni, Antonino Maniaci, Christopher E. Fundakowski, Luca Castellani, Fabiola Incandela, Remo Accorona, Miguel Mayo-Yanez, Martina Violati, Lorenzo Giannini, Niccolo' Mevio, Alberto Maria Saibene

Department of Otolaryngology - Head and Neck Surgery Faculty Papers

BACKGROUND: The management of head and neck cancer relies on multidisciplinary expertise; however, access to tumor boards remains variable. Large language models (LLMs) may support guideline-based decision-making, although performance in complex oncologic scenarios is not well defined.

METHODS: Fourteen synthetic cases based on real tumor board encounters were evaluated. Five blinded comparator arms produced recommendations: a human expert, Non-RAG-GPT-4, Non-RAG-GPT-5, RAG-GPT-4, and RAG-GPT-5. Eight head and neck oncologic surgeons scored each recommendation for appropriateness, clarity, specificity, and feasibility using 5-point Likert scales. Paired permutation testing and inter-rater reliability were assessed.

RESULTS: LLM outputs showed close alignment with expert recommendations. RAG-based …

Novel R Shiny Tool For Survival Analysis With Time-Varying Covariate In Oncology Studies: Overcoming Biases And Enhancing Collaboration, Yimei Li, Yang Qiao, Fei Gao, Jordan Gauthier, Qiang Ed Zhang, Jenna Voutsinas, Wendy Leisenring, Ted Gooley, Corinne Summers, Alexandre Hirayama, Cameron Turtle, Rebecca Gardner, Jarcy Zee, Qian Vicky Wu

Wills Eye Hospital Papers

PURPOSE: Our study is motivated by evaluating the role of hematopoietic cell transplantation (HCT) after chimeric antigen receptor T-cell (CAR-T) therapy for ALL, a debated topic. Because patients may receive HCT at different times after CAR-T infusion or never, HCT post-CAR-T should be considered as a time-varying covariate (TVC).

METHODS: Standard Cox models and Kaplan-Meier (KM) curves (naïve method) assume that TVC status is known and fixed at baseline, which can yield biased estimates. Landmark analysis is a popular alternative but depends on a chosen landmark time. Time-dependent (TD) Cox model is better suited for TVC although visualizing survival curves …

Use Of Electrocardiograms To Identify Coronary Artery Disease: Cross-Validation Of An Artificial Intelligence Model, Michael Leasure, Indu Poornima, Adam Butchy, Utkars Jain, Devin Vasoya, Michael Warnick, Brent Williams, John Rehder, Prahlad Menon, Veronica A. Covalesky, Gary S. Mintz

Department of Medicine Faculty Papers

BACKGROUND: The current gold standard for the diagnosis of coronary artery disease (CAD) is invasive angiography; however, it is an invasive procedure. Therefore, we developed an artificial intelligence model designed to predict significant CAD from a resting digital 12-lead electrocardiogram (ECG).

OBJECTIVES: This retrospective study assessed the model's ability to predict clinically significant CAD in a patient population presenting for coronary angiography.

METHODS: From 2019 to 2021, 16,476 patients had a resting 12-lead digital ECG recorded within 90 days prior to coronary angiography. The artificial intelligence model was developed using 10-fold cross-validation methodology. Clinically significant disease was defined as angiographic …

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 …

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 …

Handling Missing Data In Copd Research, Chia-Ying Chiu

ETDs from 2020-2029

Chronic Obstructive Pulmonary Disease (COPD) remains a major global health concern and one of the leading causes of death in the United States, affecting approximately 4.6% of adults and reaching a prevalence of 9.4% in Alabama according to 2024 National Health Interview Survey. The disease imposes a substantial burden on quality of life and healthcare costs and contributes to increased disability-adjusted life years and years of life lost, as highlighted by the 2022 Lancet Commission report. Despite its im-pact, COPD is frequently diagnosed only after irreversible lung damage has occurred, largely due to under-recognized symptoms and limited diagnostic tools. Early …

Analysis Of Activated Carbon Fiber (Acf) As Particulate Filtration And Volatile Organic Compound (Voc) Media For The Development Of A Dual-Air Purifying Facepiece Respirator, Brie Mcmahan

ETDs from 2020-2029

Exposure to particulate matter (PM) and volatile organic compounds (VOCs) in occupational or public settings poses adverse health outcomes such as respiratory, cardiovascular, reproductive, neurological, carcinogenic morbidity and mortality. Many occupational settings expose workers to PM and VOC concurrently, yet most commercially available respirators are designed to address either particulates or vapors alone. This includes air-purifying respirators (APRs), powered air-purifying respirators (PAPRs), and filtering facepiece respirators (FFRs) with nuisance-level vapor protection, often limited by bulk, discomfort, high pressure drop, and misuse. We identified a need for alternative dual-exposure media and a respiratory protection device that is lighter, and more comfortable …

Differentiation In The Human Urothelia Is Defined By Distinct Alternative Polyadenylation, Ninh B Le, Surbhi Sona, Briana Santo, Yi Zhang, Rosie Ou, R Allen Schweickart, Veena Kochat, William I Padron, Kunal Rai, Shih-Han Lee, Joo Mi Yi, Oliver Wessely, Byron H Lee, Angela H Ting

Faculty, Staff and Student Publications

Distinct epithelial cell states arise during differentiation, but mechanisms generating transcriptomic diversity among them remain poorly defined. The human ureter urothelium contains basal progenitor, intermediate cells, and terminally differentiated umbrella cells. Prior single-cell RNA sequencing revealed similar global gene expression profiles across these states, raising the question of how distinct identities emerge. Here, we show that alternative cleavage and polyadenylation (APA) introduces a major layer of transcriptomic diversity during urothelial differentiation, largely independent of changes in mRNA levels. Analysis of 13,544 urothelial cells identified hundreds of differentiation-associated APA events. Single-cell imaging revealed spatially specific APA patterns, and reporter assays demonstrated …

Differentiation In The Human Urothelia Is Defined By Distinct Alternative Polyadenylation, Ninh B Le, Surbhi Sona, Briana Santo, Yi Zhang, Rosie Ou, R Allen Schweickart, Veena Kochat, William I Padron, Kunal Rai, Shih-Han Lee, Joo Mi Yi, Oliver Wessely, Byron H Lee, Angela H Ting

Faculty, Staff and Student Publications

Distinct epithelial cell states arise during differentiation, but mechanisms generating transcriptomic diversity among them remain poorly defined. The human ureter urothelium contains basal progenitor, intermediate cells, and terminally differentiated umbrella cells. Prior single-cell RNA sequencing revealed similar global gene expression profiles across these states, raising the question of how distinct identities emerge. Here, we show that alternative cleavage and polyadenylation (APA) introduces a major layer of transcriptomic diversity during urothelial differentiation, largely independent of changes in mRNA levels. Analysis of 13,544 urothelial cells identified hundreds of differentiation-associated APA events. Single-cell imaging revealed spatially specific APA patterns, and reporter assays demonstrated …

Executive Leadership Education For Every Emergency Medical Services Professional : A Qualitative Study, Joseph D. Danao Ii

Student Dissertations

The Emergency Medical Services (EMS) profession faces numerous challenges in maintaining sufficient capacity to provide frontline medical care amid increasing demand for its services from government officials and the public. The purpose of this qualitative phenomenological study is to explore the experiences of EMS professionals on how the lack of executive leadership education impacts their careers and the viability of their organizations. The problem is that EMS professionals widely lack the executive-level leadership education needed to thrive in their professional careers and ensure the viability of their EMS organizations (Basnawi, 2023; Naidoo et al., 2015). The research questions are developed …

Lead Levels In Fingernails Of Hemodialysis Patients And Healthy Individuals In Karbala, Iraq: A Biomonitoring Study Using Icp Oes, Baker A. Joda, Rusul Jaafar, Rana Hameed, Hiba Sadeq Alheloo, Sadeq Jaafar Hasan Dwenee

Karbala International Journal of Modern Science

The use of non-invasive media to evaluate the association between trace elements and diseases has spread in recent centuries. Fingernail samples were collected from 103 individuals, including both healthy participants and those undergoing hemodialysis, residing in Karbala, Iraq, and ranging in age from 21 to 75 years. The concentrations of lead were determined using an Inductively Coupled Plasma Optical Emission Spectrometry (ICP OES). Statistical analyses using F-tests and two-tailed t-tests were conducted to examine the effects of health status, gender, smoking status, and their interactions on lead levels in washed fingernails. The concentrations of Pb in washed fingernails of healthy …