Digital Commons Network^™

Pharmacy Service Quality Strategies To Mitigate Prescription-Only Medicines Stockouts, Martin Mulomba

Walden Dissertations and Doctoral Studies

Some patients in Lusaka, Zambia experience adverse health outcomes when pharmacists are not able to fill life-saving, prescription-only medications (POMs) because of supply-chain shortages. Important to pharmacists are strategies to improve POMs supply and mitigate out-of-stock occurrences. Grounded in the SERVQUAL theory as the conceptual framework, the purpose of this qualitative multiple case study was to explore the service quality strategies pharmacists employ to mitigate shortages and enhance patient care. The participants were eight pharmacists who successfully mitigated POMs shortages for improved customer service. Data were collected using semistructured interviews and publicly available documents. Data were analyzed thematically and six …

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 …

An Improved United-Atom Potential For Molecular Dynamics Simulation Of Saturated Properties Of N-Alkanes, Wazih Tausif, Jordan Hartfield, Alex George, Zhi Liang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Multiple united-atom (UA) potential models have been developed in the literature to reproduce experimental saturated properties of n-alkanes using Monte Carlo simulations. When these UA potentials are employed in molecular dynamics (MD) simulations, MD simulations often give relatively poor predictions of saturated properties of n-alkanes, particularly the saturated vapor densities, due to the challenges in accurate calculation of long-range intermolecular forces beyond the cutoff distance in an inhomogeneous system. In this work, a new set of UA Lennard-Jones (LJ) interaction parameters for n-alkanes is proposed to reproduce the saturated properties, including saturated liquid and vapor densities (ρ_f and ρ …

Recent Advances Toward Damage-Tolerant 3d-Printed Titanium Alloys: Alloy Design Perspective, Saeid Alipour, Arezoo Emdadi, Ju Li

Materials Science and Engineering Faculty Research & Creative Works

Twenty-year uninterrupted endeavor of titanium alloys printing has opened up a new paradigm in metal additive manufacturing (AM) to fabricate engineering components with required strength–density–corrosion combinations. Despite the remarkable advances in titanium AM, controlling the grain structure to print the parts with engineered microstructures, tailored mechanical properties, and minimum anomalies remains challenging. Numerous approaches have been implemented to address this challenge, such as printing parameter control, post-AM heat treatments, and thermomechanical processing. In addition to the aforementioned conventional approaches, novel techniques have been proposed that require employing hybrid manufacturing or developing the printer itself. One of the novel pathways in …

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 …

Iron-Involved Orr Electrocatalysts Under The Lens Of In-Situ/Operando Mössbauer Spectroscopy, Sumbal Farid, Jun-Hu Wang

Journal of Electrochemistry

Exploring cost-effective and efficient catalysts for oxygen reduction reaction (ORR) poses a significant challenge, especially in the pursuit of alternatives to precious metals like platinum. Significant advancements have driven electrochemists to develop efficient ORR catalysts using abundant materials, particularly iron (Fe)-based, known for their exceptional performance in ORR. While the crucial function of Fe in boosting ORR catalytic activity is recognized, the connection between material attributes and catalytic performance remains enigmatic. Understanding the dynamic processes involved in oxygen electrocatalysis is paramount for designing precious-metals-free ORR electrocatalysts. Mössbauer spectroscopy stands out as a powerful technique for deciphering the structural characteristics of …

Carbon Supported Octahedral Ptni Nanoparticles (Oct-Ptni/C) As A Cathode Catalyst For Proton Exchange Membrane Fuel Cells (Pemfcs) With Improved Activity And Durability, Zi-Wei Feng, Hai-Zhong Chen, Xiao Duan, Ling Tang, Yun-Kun Zhao, Long Huang

Journal of Electrochemistry

Proton exchange membrane fuel cells (PEMFCs) are considered as a promising renewable power source. However, the massive commercial application of PEMFCs has been greatly hindered by their high expense and less-satisfied performance mainly due to the sluggish oxygen reduction reaction (ORR) kinetics even on state-of-the-art Pt catalyst. Octahedral PtNi nanoparticles (oct-PtNi NPs) with excellent ORR activity in a half-cell have been widely studied, while their performance in membrane electrode assembly (MEA) has much less reported. Herein, we investigated the MEA performance using the carbon supported oct-PtNi NPs (oct-PtNi/C) as the cathode catalyst. Under the mild acid washing condition, the surface …

Thomas Warner, Mark Naison, Steven Payne

Oral Histories

No abstract provided.

Ammar Abdul Rahman, Mark Naison, Anthony Abd-Al Shafi Rosado, Jane Kani Edward

Oral Histories

As a leader, Rahman plays many roles beyond leading prayers. He serves as a counselor, advisor, and guide, especially for immigrants and first-generation college students who may lack extended family support. He helps community members navigate not only education but also careers, marriage, and faith-based decisions through an Islamic lens. At Fordham University, he works to build a Muslim community through programs such as Ramadan events, spiritual counseling, mentorship initiatives, and multifaith dialogue.

Overall, Imam Rahman's lived experience demonstrates the role of a religious leader who continues to support minority communities and immigrants. His messages and teachings show how Islam …

Kleaver Cruz, Mark Naison, Anthony Abd-Al Shafi Rosado

Oral Histories

Interviewee: Kleaver Cruz

Interviewer: Anthony Rosado

Summary by Serena Velasquez

November 18, 2025

Kleaver Cruz, a Bronx native, acknowledges the legacy of “Las Mariposas,” martyrs from the Dominican Republic who opposed Trujillo, setting the tone for this event’s influence on their family’s migration stories and cultural connectivity. Having lived their whole lives in the Bronx, Cruz’s Afro-Latin identity and community became integral to their activism. Having grown up during the 90s, Cruz touches on economic hardships and living through the crack epidemic, yet asserts that they had a great childhood despite these circumstances. Cruz was influenced by figures throughout their …

Marti Zuckrow - Part 2, Mark Naison, Steven Payne

Oral Histories

No abstract provided.

Joellen Eisenman Sgueglia, Mark Naison, Steven Payne

Oral Histories

No abstract provided.

Promoting Equitable Early Childhood School Readiness Through Prevention And Advocacy In A Rural Community, Teri Kimberling

Selected Social Change Portfolios in Prevention, Intervention, and Consultation

Goal Statement

The goal of this Social Change Portfolio is to promote healthier developmental outcomes for young children in our rural community by increasing access to early childhood readiness supports that prevent social-emotional and behavioral difficulties in kindergarten.

Significant Findings

Early childhood school readiness is a significant public health and mental health concern in the rural coastal community of Lincoln County, Oregon. A large number of children enter kindergarten without any school readiness, whether it was in a formal preschool or just done at home. This can be due to many factors, including socioeconomic disparities, such as high poverty rates, …

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 …

Strategies To Improve Team Cohesion Among Hybrid And Remote Teams To Improve Customer Satisfaction, Leslie Collins

Walden Dissertations and Doctoral Studies

A lack of team cohesion among hybrid and remote teams can negatively affect customer satisfaction. Customer service leaders require effective strategies to improve team cohesion in increasingly flexible work environments; however, limited understanding exists regarding the strategies these leaders use to foster cohesion in hybrid and remote work settings. Grounded in the composite conceptual framework of theories of group development and customer focus, the purpose of this qualitative pragmatic inquiry was to identify and explore effective strategies that some leaders in the South Central region of the U.S. customer service organizations use to improve team cohesion among hybrid and remote …

High-Dose Tranexamic Acid For Orthopedic Spine Surgery, Jordan G. Falkner, David B. Sanford

Group: Samford University Moffett & Sanders School of Nursing

Major spinal fusion procedures are associated with significant intraoperative blood loss, increasing transfusion exposure, morbidity, and length of hospitalization. Tranexamic acid (TXA) has demonstrated efficacy in reducing blood loss in orthopedic surgery; however, optimal dosing strategies in patients with significant comorbidities remain debated. Emerging evidence supports the use of high-dose TXA when appropriately adjusted for renal function. This case describes anesthetic management of a patient with chronic kidney disease (CKD) and coronary artery disease (CAD) undergoing complex posterior spinal surgery.

In adult patients undergoing major spinal surgery, how does high-dose TXA compared to standard-dose TXA affect intraoperative blood loss and …

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 …

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 …

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 …

Strategies Some Business Leaders Use To Implement Technological Innovation For Increasing Performance, Judy Muiruri

Walden Dissertations and Doctoral Studies

Abstract Incorporating technological innovation is essential for maintaining organizational performance. Company executives in software-as-a-service (SaaS) enterprises who do not incorporate technological innovation risk reduced organizational performance and profitability. Grounded in Rogers' Diffusion of Innovations (DOI), the purpose of this qualitative pragmatic inquiry project was to explore strategies employed by business leaders to effectively implement technological innovation and, in turn, increase organizational performance. . The participants consisted of fifteen business leaders who successfully incorporated technological innovation designed to improve organizational performance and profitability. The data collection process incorporated both semi structured interviews combined with a review of publicly available documents about …

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 …

Editorial Note: Genai For Academic Writing – Friend Or Foe?, Corina D. Riantoputra, Turro S. Wongkaren, Edo S. Jaya, Laras Sekarasih, Muhammad Abdan Shadiqi

Makara Human Behavior Studies in Asia

In an article published in Nature titled “ChatGPT listed as author in research papers” Stone-Walker (2023) shocks the academic community with the fact that GenAI tools such as ChatGPT and Gemini have gained a substantive role in the production of knowledge and academic writing. He reports that one research company has published 80 articles produced by GenAI in academic journals.  In the wake of Stone-Walker’s article, many publishers and journal editors set guidelines in relations to the role of GenAI in academic writings. All of them disagree to allow GenAI as an author.  Further, the Stanford University Artificial Intelligence Index …

Observation-Based Reconstruction Of High-Resolution Daily Temperature Field Using Lapse-Rate-Constrained Kriging In Complex Terrain: A Nationwide Dataset For South Korea, Youjeong Youn, Menas Kafatos, Seung Hee Kim, Yangwon Lee

Institute for ECHO Articles and Research

High-resolution air-temperature fields are essential for climate, hydrologic, and ecological applications in complex terrain, yet operational products often lack the spatial detail to resolve topographic effects. We develop an observation-driven reconstruction of daily air temperature fields for South Korea (2024) using ordinary kriging with lapse-rate correction (OKLR), integrating a dense network of over 500 stations from the Automatic Mountain Meteorology Observation System (AMOS) and the Automated Surface Observing System (ASOS). The OKLR framework systematically removes elevation-driven trends using a physically based fixed lapse rate (–6.5 °C km−1), performs kriging on detrended residuals, and reapplies Digital Elevation Model (DEM)-based corrections to …

Reframing The At-Risk Discourse: From Victim Blaming To Nurturing Resilience, Romana Mathews

Electronic Theses and Dissertations Archive

Each year, approximately 1.2 million students drop out of high school in the United States—about one every 26 seconds (National Center for Education Statistics, 2023). This trend calls for a reexamination of how we understand and support students labeled “at-risk.” Traditional deficit-based models focus narrowly on challenges, often overlooking how students actively build resilience to navigate adversity. This study explores how successful high school graduates from rural Title I schools in the southern United States interpret the “at-risk” label and develop resilience. Guided by two research questions (1) How do these graduates interpret and make meaning of the “at-risk” label? …

A Systematic Review Of Cyber Risk Analysis Approaches For Wind Power Plants, Muhammad Arsal, Tamer Kamel, Hafizul Asad, Asiya Khan

School of Engineering, Computing and Mathematics

Wind power plants (WPPs), as large-scale cyber–physical systems (CPSs), have become essential to renewable energy generation but are increasingly exposed to cyber threats. Attacks on supervisory control and data acquisition (SCADA) networks can cause cascading physical and economic impacts. The systematic synthesis of cyber risk analysis methods specific to WPPs and cyber–physical energy systems (CPESs) is a need of the hour to identify research gaps and guide the development of resilient protection frameworks. This study employs a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol to review the state of the art in this area. Peer-reviewed studies published …

Adaptive Multi-Agent Intelligence: A Dynamic Data Management System For Enhanced Data Quality And Reconciliation, Anthony Taeyang Vigil

USF Tampa Graduate Theses and Dissertations

Organizations struggle with data quality problems that cost them millions of dollars annually. Manual data cleanup and standardizing, also known as reconciliation, can take skilled analysts days to complete and can still contain human errors. This dissertation addresses this challenge by developing and validating the Origin Data Management System, which automates processes that traditionally require days of manual work. The system achieved up to 100% accuracy in standardizing vendor names and identifying CEO information across real-world test datasets from Jefferson County Public Schools, Forbes, and Fortune Magazines. Processing time dropped from days to minutes—a 96-fold improvement over manual methods. These …

Interseeding Cover Crops Into Corn In The Intermountain West, Matt Yost, Jenae Dean, Michael Pace, Tony Richards, Andrew Wallace, Jacob Hadfield, Steven Hines, Cody Zesiger, Jody Gale, Rhonda Miller, Earl Creech, Matt Palmer

All Current Publications

Interseeding cover crops into corn may provide many benefits, such as weed suppression, nitrogen fixation from legume covers, and, most importantly, soil cover and forage for livestock after corn harvest. It also has the potential to negatively impact corn production if competition with covers for water and nutrients is too high. The purpose of this guide is to discuss recent research and experience with interseeding cover crops in the Intermountain West.

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

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 …

How Public Trust Matters To Future Taxpayer Compliance In Indonesia, Shelvi Shelvi, Tutik Rachmawati

BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi

This study examines the role of public trust in shaping future taxpayer compliance, a critical factor for achieving the long-term development vision of Indonesia Emas 2045. While trust has been extensively studied in the context of current taxpayers, research on its role among younger generations as future taxpayers in developing economies remains limited. To address this gap, a mixed-methods approach was employed, combining survey data from 420 students with in-depth interviews. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the hypothesis that public trust influences future taxpayer compliance. The results demonstrate that public trust …