Digital Commons Network^™

A Comparative Study Of Deep Learning Models For Water Quality Prediction, Doaa El-Shahat, Mohamed Ismail

Sustainable Machine Intelligence Journal

One of the most important challenges in the recent period, and one that still presents a significant challenge, is sustainable management of water resources and accurate prediction of water quality to address increasing pollution and climate changes. Therefore, our study aims to address the complexity and noise in water quality data with time dependencies in water quality data in order to provide a more accurate prediction of water quality by evaluating and comparing six of the latest and most powerful deep learning models that have been recently developed, namely: VBAED, SA-LSTM-LOADEST, LWQformer, ESWT-IE-SBiLSTM, DPSGT, in addition to the CNN-CRNN-M5T model. …

Toward Trustworthy Ai-Enabled Smart Healthcare: A Multi-Layer Taxonomy Of Data Modalities, Model Families, Clinical Applications, And Real-World Deployment Challenges, E. A. Zanaty, Asmaa H. Abd El-Rahiem

Sustainable Machine Intelligence Journal

Artificial intelligence (AI) is increasingly reshaping healthcare through predictive analytics, medical imaging, remote patient monitoring, clinical decision support, and personalized care. Despite rapid progress, the literature on AI-enabled smart healthcare remains fragmented across data modalities, model families, clinical tasks, trustworthiness requirements, and real-world deployment challenges. This review addresses this fragmentation through a taxonomy-based synthesis of AI-enabled smart healthcare systems supported by a systematic literature search. The review proposes a multi-layer taxonomy spanning healthcare data modalities, AI model families, clinical application domains, trustworthiness attributes, and deployment readiness. The reviewed evidence covers major healthcare data sources, including electronic health records, medical imaging, …

Adasel: Adaptive Attention-Based Stacked Ensemble Learning With Explainable Ai Framework For Earthquake Alert Level Classification System, Alaa Desukey, Ahmed M. Abdelmouty

Sustainable Machine Intelligence Journal

Earthquakes are one of the most life-threatening natural events, and scientists are always concerned about their forecast. Standard machine learning (ML) algorithms have difficulty earthquake alert level classification (EALC) problem. The study presents an ADASEL framework for EALC. The data is merged using a stacked ensemble learning approach, including base learners and meta-models. The basic learners include Extra Tree, random forest (RF), lightGBM, XGBoost, CatBoost, and Gradient Boosting. The outputs are optimized using an attention-based multilayer perceptron meta-model (MLP), LSTM, and Transformer. The technique was tested using earthquake dataset. The data preprocessing steps are applied to enhance quality of the …

Do Universities Underpay Professors? Yes, Especially Women, Zhanhan Yu, Alfonso Flores-Lagunes

Employment Research Newsletter

No abstract provided.

Employment Research, Vol. 33, No. 3, July 2026

Employment Research Newsletter

No abstract provided.

The Use Of A Sepsis Escape Room Simulation To Enhance Undergraduate Nursing Student's Clinical Judgment, Alaina Peterson

Dissertations

Background: Less than 10% of new graduate registered nurses meet practice-ready expectations for clinical judgment competencies, and 52% of critical care nurses are unable to adequately define sepsis. Traditional clinical rotations offer inconsistent exposure to high-acuity, low-frequency events such as sepsis, leaving new graduates unprepared for independent practice. Escape room simulations use the proven effectiveness of high-fidelity simulations with gamification to develop clinical judgment through active learning, teamwork and problem-solving.

Objective: The purpose of this project was to determine the effectiveness of a sepsis escape room simulation to improve perceived clinical judgment skills of undergraduate nursing students. The intervention was …

Educator Perspectives Of Available Special Education Transition Programming Through High School Career And Technical Education Organizations For Female Students In Self-Contained Classrooms, Cassandra L. Aungst

Theses and Dissertations

The problem addressed in this study was that there is a lack of research regarding alignment between special education student transition assessments, transition goals, and transition programming and specifically those who identify as female students. While career readiness programs are accessible to all students, regardless of gender, female students in special education remain underrepresented in career and technical education programs. The purpose of this research was to review educational practices that influence female students with disabilities in relation to their individualized education plan transition goals and programming by addressing (a) educators’ perceptions, (b) systemic challenges, and (c) policy gaps influencing …

Online Mindfulness Training And Work-Related Outcomes: A Randomized Waitlist Controlled Trial, Conner Lee Deichman

Theses and Dissertations

Mindfulness-based interventions improve employee well-being, yet few studies have examined their impact on work-specific outcomes in private-sector samples. Online mindfulness programs offer a promising, accessible alternative to in-person training. This randomized waitlist-controlled trial evaluated the efficacy of Mindfulness for Humans (MfH), a fully online, self-directed 15-session program, on job satisfaction, burnout, work engagement, subjective well-being, and mindfulness skills among private-sector employees. Participants were randomly assigned to a training-first group or a waitlist-first group and completed measures at baseline, 30 days, and 60 days. Results showed significant improvements in job satisfaction, burnout, subjective well-being, and mindfulness following course participation. The training-first …

From Infrastructure To Outcomes: Institutions, Capabilities, And Sustainable Transformation, M. Kabir Hassan

Journal of King Abdulaziz University: Economics and Administration

No abstract provided.

Literature Review Of Zero-Leverage Firms: A Text-Mining Approach, Md. Abul Kalam Azad, Paolo Saona, Laura Muro, Mehedi Hasan Ifti, Chowdhury Noushin Novera

Journal of King Abdulaziz University: Economics and Administration

Purpose: While zero-leverage firms have been studied individually, comprehensive literature reviews exploring their research streams and future directions remain scarce. This study addresses this gap by conducting the first review of the zero-leverage puzzle utilizing a hybrid bibliometric and text-mining approach. This methodological framework systematically categorizes established research streams and identifies future research directions on this topic.
Methodology: The study employs a hybrid approach, combining bibliometric analysis with text mining to efficiently analyze unstructured textual data. A full-text analysis of 56 publications from the Web of Science (WoS) database is conducted using R programming and VOSviewer software. Additionally, the data …

Role Of Ngos In Financial Inclusion, Basic Health Awareness, And Climate Change Resilience Towards Sdgs: Bangladesh Perspective, Md. Mamunar Rashid, Mohammad Main Uddin, Md. Asaduzzaman Babu, Md. Javed Kayser

Journal of King Abdulaziz University: Economics and Administration

Objectives: This study focuses on what connections, if any, NGOs have made with financial inclusion, basic health awareness, and climate change resilience over time in Bangladesh. What are the contributions of NGOs to the design, implementation, and attainment of financial inclusion, basic health awareness, and climate change resilience? In what manner does this contribution correspond with the achievement of the SDGs?
Materials and Methods: This study used self-administered, structured, and closed-ended questionnaires. Three sections comprise the survey questionnaires: Financial Inclusion (FI), Basic Health Awareness (BHA), and Climate Change Resilience (CCR). This study reached out to 406 respondents, all of whom …

Beyond Office-Seeking: Pks Opposition Strategy In Indonesia’S Multiparty Presidentialism, Amri Yusra, Lili Romli, Valina Singka Subekti

Jurnal Politik

This article examines the opposition strategy of the Prosperous Justice Party (PKS) in Indonesia’s multiparty presidential system during President Joko Widodo’s administration. Departing from the weakening of opposition caused by the expansion of the governing coalition and the tendency toward party cartelization, this article addresses the question of why PKS chose to maintain its opposition stance while most political parties joined the government. This study employs a qualitative approach with a theory-refining case study design. Data were collected through interviews with PKS elites and political observers, official party documents, parliamentary records, electoral data, media reports, and academic literature. The analysis …

Decision Making For Community Resilience: Applications In Flooded Transit Systems And Shared Housing, Mubarak Iddrisu

Graduate Doctoral Dissertations

Addressing climate-induced flooding and housing insecurity requires decisions that are technically sound, locally meaningful and feasible to implement. In public transit systems, flooding can damage infrastructure, increase travel time and reduce access to essential destinations, especially for older adults. Shared housing offers an alternative housing model where staff must balance affordability, compatibility, service exchange and participant choice when pairing home providers with housing seekers. In this dissertation, I examine how analytics and decision modeling can support community resilience across these two domains. I use spatial analysis, machine learning, optimization and matching theory to develop practical decision-support workflows. Chapter 2 proposes …

How Psychological Capital Promotes Student Flourishing: Mediating Effects Of Career Adaptability And Study Engagement, Sana Nisar, Adnan Adil, Sultan Shujja, Samina Rashid

Journal of Social, Behavioral, and Health Sciences

In today’s rapidly evolving academic and occupational landscape, understanding the psychological resources that support student well-being is critical. This study investigates the predictive role of academic psychological capital (PsyCap) in fostering flourishing among Pakistani university undergraduates, specifically identifying the mediating mechanisms of career adaptability and study engagement. Grounded in career construction theory and the JD-R model, the research contributes to theory by positioning PsyCap as a key personal resource that facilitates adaptive capacity and meaningful engagement. Data from 350 undergraduates in public-sector universities were analyzed using path analysis. Results revealed that PsyCap significantly predicted flourishing (β = .35, p …

Leveraging Generative Artificial Intelligence To Effectively Implement School Counseling Interventions And Programs, Jeffrey M. Warren

Journal of Technology in Counselor Education and Supervision

Academic and mental health concerns persist in K-12 schools across the country. School counselors play a central role in addressing these issues and supporting the academic success, social/emotional development, and college and career readiness of all students. However, school counselors face numerous barriers when promoting student success. Making matters worse, emerging literature suggests that school counselors lack a clear understanding of how to implement programs and interventions effectively. Artificial intelligence can play a vital role in helping school counselors deliver effective and efficient services. This article provides overviews of implementation science and generative artificial intelligence. A case example and analysis …

Prehospital Flumazenil: Five-Year Review Of Use, Indications, Outcomes, And Adverse Events In Suspected Benzodiazepine Overdose, Cameron G. Hanson, Bryan P. Beaver, Eric Frantz, Thomas Dunn, Stephen Thornton, Isabel Cava, Ryan C. Jacobsen

Student Publications

Introduction: Historically, flumazenil was employed as both a diagnostic aid in unresponsive patients and as an antidote for suspected benzodiazepine overdose in both emergency departments and out-of-hospital settings. However, its prehospital application has been historically constrained by long-standing concerns regarding adverse events, leading many emergency medical service (EMS) systems to restrict or avoid its use. The use of flumazenil in the prehospital setting remains underreported in the literature, despite its inclusion in the treatment protocols of various EMS agencies. We conducted a descriptive analysis of the use of flumazenil by EMS in the out-of-hospital setting across the state of Kansas …

Codesign And Implementation Of A Tai Chi Intervention For Managing The Fatigue, Sleep Disturbance And Depression Symptom Cluster In Breast Cancer Survivors In Regional Australia: A Feasibility Study Protocol, Suellen Skinner, Wai Hang Kwok, Jing Yu Benjamin Tan, Tao Wang, Daniel Bressington, Liqun Yao, Brona Nic Giolla Easpaig

Research outputs 2022 to 2026

Introduction: Breast cancer survivors (BCS) often experience side effects such as the fatigue, sleep disturbance and depression symptom cluster (FSDSC). Previous studies have demonstrated the potential efficacy of Tai Chi (TC) for improving FSDSC in BCS in a hospital setting in China. This study will explore the feasibility, acceptability and preliminary effects of the Easy 8 Form TC protocol as an adjuvant therapy in BC survivorship care, adapted to a regional Australian community setting.

Methods and analysis: The purpose of the present study is to provide a codesigned TC protocol. This multimethod study comprises a codesign study, followed by a …

Digraphicsoft Sets And Bidigraphicsoft Sets: Directed And Bidirected Extensions Of Graphicsoft Modeling, Takaaki Fujita, Ajoy Kanti Das, Suman Das, Sankar Prasad Mondal, Volkan Duran, Mithun Datta

Neutrosophic Systems with Applications

Uncertainty has been modeled through a wide variety of mathematical frameworks, including fuzzy sets, neutrosophic sets, rough sets, and plithogenic sets. Among these approaches, soft sets offer a parameterized representation of uncertain information and have inspired numerous extensions, such as multisoft sets, double-framed soft sets, hypersoft sets, SuperHyperSoft sets, TreeSoft sets, ForestSoft sets, IndetermSoft sets, and IndetermHyperSoft sets.
This paper focuses on GraphicSoft Sets, which extend the classical soft-set framework by assigning a subset of the universe to each subgraph of an attribute graph. In this way, relationships among attributes are incorporated directly into the parameterized model. Building on …

Neutrosophic Time-Truncated Acceptance Sampling Plans Based On The Exponentiated Weibull Distribution For Reliability Applications, Divya P.R., Preethi John

Neutrosophic Systems with Applications

Classical acceptance sampling plans require precisely specified parameter values, an assumption routinely violated by measurement uncertainty and gauge imprecision in practice. This article develops Neutrosophic Time-Truncated Acceptance Sampling Plans (N-TTASP) for the Exponentiated Weibull (EW) distribution by representing the scale parameter as a neutrosophic interval. The neutrosophic sample size n_N ∈ [n_L, n_U] and acceptance number c_N ∈ [c_L, c_U] are obtained by minimizing n_U subject to dual producer and consumer risk constraints on the neutrosophic Operating Characteristic interval. A new indeterminacy ratio η is introduced as a …

Editors' Note, Sherry Wynn Perdue, Isaac K. Wang, Georganne Nordstrom

The Writing Center Journal

Editors' note for Writing Center Journal 44.1 (2026).

“We Are Writers At The End Of The Day”: Institutional Support, Accountability, And Community In Writing Groups For Faculty Of Color, María P. Carvajal Regidor

The Writing Center Journal

This article provides insight into how an accountability writing group for faculty of color supports faculty writers. It argues that targeted programming for faculty of color can serve as a modest anti-racist intervention into the white supremacist structures that often harm BIPOC faculty and their success in academia. Examining interview, survey, and registration data from a writing group for faculty of color, the article shows how the writing group functions as a counterspace, enabling participants not only to spend more time on their writing but to bring their full selves into an academic space and to form community. The article …

The Self-Identified Strategies Of Asynchronous Writing Tutors, Eric C. Camarillo

The Writing Center Journal

This study explores the self-identified strategies of asynchronous writing tutors, focusing on how they provide feedback in an online environment. The research addresses the underexplored area of asynchronous writing tutoring, which is often marginalized due to its perceived lack of interpersonal interaction. Through semi-structured interviews and screen recordings of seven writing tutors from three different institutions, the study identifies key strategies employed by tutors. These strategies include managing workloads, relying on intuition, building rapport with students, and seeking support from other tutors. The findings highlight the complexity and labor-intensive nature of asynchronous tutoring, emphasizing the need for thoughtful evaluation and …

Where Do Ai Coding Agents Fail? An Empirical Study Of Failed Agentic Pull Requests In Github, Ramtin Ehsani, Sakshi Pathak, Shriya Rawal, Abdullah Al Mujahid, Mia Mohammad Imran, Preetha Chatterjee

Computer Science Faculty Research & Creative Works

AI coding agents are now submitting pull requests (PRs) to software projects, acting not just as assistants but as autonomous contributors. As these agentic contributions are rapidly increasing across real repositories, little is known about how they behave in practice and why many of them fail to be merged. In this paper, we conduct a large-scale study of 33k agent-authored PRs made by five coding agents across GitHub. (RQ1) We first quantitatively characterize merged and not-merged PRs along four broad dimensions: 1) merge outcomes across task types, 2) code changes, 3) CI build results, and 4) review dynamics. We observe …

The Impact Of Built-Environment Walkability On Obesity Among Women In Pakistan: A Cross-Sectional Analysis Using Demographic Health Surveys (Dhs) Data, Areej Arshad

Theses

Pakistan is the fifth most populous country in the world, with a population of over 247 million people in 2023. According to the World Health Organization, 23% of Pakistan’s population is obese, with higher prevalence among women (26%) compared to men (19.9%). Recent research in high-income countries has identified built-environment as an important factor impacting physical activity, as well as health outcomes like obesity rates. However, work linking built-environment and health outcomes is scattered for low- and middle- income countries. This study, therefore, aimed to construct a consistent and simple built-environment walkability score for Pakistan using Demographic Health Surveys (DHS) …

Estimated Prebiotic Intake And Depression In Us Adults: Repeated Cross-Sectional Analyses Of Nhanes 2015–2018 And 2021–2023, Cassandra Boyd, John Gieng

Faculty Research, Scholarly, and Creative Activity

Prebiotics are selectively utilised dietary substrates that may influence depression through gut microbiota-related pathways, but population-level estimates of intake and associations with depression are limited. This repeated cross-sectional study estimated intake of International Scientific Association for Probiotics and Prebiotics (ISAPP)-recognised prebiotics and examined associations with depression among US adults using National Health and Nutrition Examination Survey (NHANES) 2015–2018 and NHANES August 2021–August 2023, analysed as independent survey periods. Estimated intakes of galactooligosaccharides and inulin-type fructans were assigned to foods using published source-food values, Food and Nutrient Database for Dietary Studies food codes, and ingredient-level information for mixed dishes. Depression was …

Integrating Georeferencing And Fire Anatomy Modeling In Canyon Fire Experiments Using Thermal Uav Remote Sensing, Xiangyu Ren, Bo Yang, Alexander I. Filkov, Katherine M. Wilkin, C. David Benterou, Owen Hussey, Craig B. Clements

Faculty Research, Scholarly, and Creative Activity

Background: Wildfires profoundly impact ecosystems and human health, making them a critical research focus. Drone-mounted Thermal Infrared (TIR) sensors are widely used for active fire monitoring due to their ability to penetrate smoke and capture real-time fire dynamics. Aims: This study addresses the challenges of georeferencing TIR data accurately, caused by limited fire anatomy modeling, imprecise georeferencing, the coarse resolution of TIR imagery and the dynamic nature of fire behavior. Methods: We collected a one-hour TIR dataset capturing a fast-moving controlled fire in a California canyon, US, alongside auxiliary data of multispectral and in situ meteorological observations. We developed an …

Fort Hays State University Tiger Weekly, July 31, 2026, University Relations

Tiger Weekly Newsletters

No abstract provided.

Training Needs And Preferences Of Small-Scale Farmers In Maryland, Lila B. Karki, Prem Bhandari, Enrique N Escobar

Journal of Extension

This study examined small-scale farmers' (N = 124) current needs, emerging priorities, and training preferences from a Farmers' Needs Assessment in Agriculture. They reported marketing agricultural products as the most important activity for building capacity, followed by certification for good agricultural practices; low-volume, high-value crops; agribusiness and enterprise development; specialty and ethnic vegetable production; and developing value-added products. The most preferred educational materials were hands-on exercises and digital learning videos. They preferred weekend programs over weekdays (afternoon, evening, and virtual) and shorter sessions over daylong sessions to benefit most from the educational events.

Water Dogs-Master Gardener Driven Landscape Water And Soil Conservation Program, Sarah J Browning, Kelly Feehan, Nicole Stoner, Roch Gaussion, Elizabeth Exstrom, John Fech, David Lott

Journal of Extension

``Set it and forget it'' is a common practice with automatic irrigation systems and can lead to excessive irrigation, unhealthy root systems, and water waste. The Water Dogs program in Nebraska focuses on educating Extension Master Gardener volunteers (EMGVs). The goal was to increase their understanding of turfgrass water needs, efficient irrigation methods, and soil health management practices, and to promote greater engagement of EMGVs with homeowner audiences to share and demonstrate the knowledge gained and practices learned through ``Neighbor-to-Neighbor'' workshops. The overall goal is to conserve water and improve soil and plant health.

An Exploration Of Extension Professionals' Evaluation Experiences In Indigenous Contexts, Sara M. Tomis, J.C. Bunch, Amy Harder, T. Grady Roberts

Journal of Extension

Extension professionals evaluating programs that engage Indigenous youth face unique opportunities and challenges. The purpose of this study was to explore these professionals' evaluation experiences, with a focus on culturally responsive practice. We conducted a focus group comprised of professionals associated with the Federally Recognized Tribes Extension Program (FRTEP). Study findings revealed a need for enhanced support for FRTEP professionals conducting evaluations of programs for Indigenous youth audiences, as well as for more culturally responsive practice within the Cooperative Extension System.