Digital Commons Network^™

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 …

Thermal Degradation Analysis Of Bagasse Fibers From Sugarcane Waste, Rashmitha Suresh, Faisal Al Nasser

Journal of Mechanical Engineering Science and Technology (JMEST)

Sugarcane is one of the important commodities in the industry where bagasse fiber as waste is abundantly available.   Sugarcane bagasse fiber has high cellulose, a key element in the utilization of bagasse. Chemical pretreatment is important to prepare the natural fiber before used as composite reinforcement. The purpose of the study is to analyze the thermal degradation of bagasse fiber after being treated using NaOH and TEMPO solution. The manufacturing method was carried out by a series of washing bagasse with distilled water and NaOH solution, subsequently soaking it in 6% NaOH and 2,2,6,6-tetramethylpiperidine-l-oxyl (TEMPO) solution, and conducted oven-dried. Thermogravimetric …

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. …

Recoverable Agentic Ai For Communication Networks: A Survey Of Architectures, Trust Regulation, And Failure Recovery, Omar K. Dawoud, Osama A. Ghoneim

Sustainable Machine Intelligence Journal

Agentic artificial intelligence is increasingly integrated into communication networks, enabling systems that perceive network state, reason over conditions, and execute actions on live infrastructure. As these systems act directly on operational environments, their behavior after failure remains insufficiently characterized: existing evaluation emphasizes throughput, latency, and accuracy, without capturing how systems recover after actions that affect network state. This survey examines agentic artificial intelligence in communication networks through the lens of recoverability, based on a systematically coded corpus of the recent literature. The paper introduces the MATR-R framework, which organizes recoverability around memory awareness, action governance, trust regulation, and recovery capability. …

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 …

Healer Or Human? How Online Physician Reviews Guide Patient Choice, Shabnam Azimi, Sina Ansari, Ignacio Luri, Atefeh Yazdanparast

Faculty Publications

Online reviews increasingly guide physician choice, yet it remains unclear whether content emphasizing a physician's competence (technical skills) or benevolence (prioritizing patients' welfare over self‐interest) more strongly influences patients' decisions. Integrating a field study of 12,351 physician reviews with two online experiments, we distinguish two dimensions of review effectiveness: how helpful readers find a review, and how confident they feel about the choice it informs. We show that competence‐ and benevolence‐focused content influences these outcomes through distinct mechanisms. Benevolence‐focused reviews receive higher helpfulness evaluations because caring behaviors are easier to describe in concrete, vivid language and because naturalistic review platforms …

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 …

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 …

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 …

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 …

Identify And Widen Bottlenecks In The Asexual Restoration Of Endangered Orbicella Faveolata Boulder Coral, Whitney Schwab

All HCAS Student Capstones, Theses, and Dissertations

Landscape-scale coral reef restoration is constrained by the context-dependent responses of corals to environmental and ecological conditions throughout a region, and identifying factors affecting the growth and survival of key reef-building species is essential for maximizing restoration success. In collaboration with Nova Southeastern University (NSU), the University of Miami (UM), and Mote Marine Laboratory, this study evaluated the relative effects of intrinsic factors (putative genotype and source colony location) and extrinsic factors (ex-situ nursery system characteristics, in-situ nursery location, nursery type (ex-situ vs. in-situ), and environmental conditions) on Orbicella faveolata tissue regeneration and survival following fragmentation. Corals …

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 …

“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 …

Systematic Review Of The Institutionalization Of Service Learning In Higher Education, Wilmer Hernan Cruz Gutierrez

ASEAN Journal of Community Engagement

An increasing number of universities are integrating service-learning (SL) to fulfill their social mission. However, sustainable institutionalization of SL remains a persistent challenge. This study identifies and analyzes the factors, actors, and strategies that drive and inhibit SL institutionalization in higher education. Using the PRISMA 2020 guidelines, a systematic literature review analyzed 52 documents from seven academic databases (including WoS, Scopus, and ERIC). The findings were grouped into three sections: cultural (integration into institutional values/missions), process (articulation within teaching, research, and outreach), and structural dimensions (dedicated support entities). The results obtained reveal a reciprocal relationship where cultural alignment enables processual …

Ethnographic Insights Into Community-Based Circular Economy: The Case Of Waste Banks In Semarang, Rahoyo Rahoyo, Teti Susilowati, Sri Purwantini, Darto Sachius, Wilson M. A. Therik

ASEAN Journal of Community Engagement

The linear economy model has led to severe environmental degradation, prompting a shift toward the circular economy (CE) framework to promote sustainability. However, CE literature often overlooks grassroots, community-based initiatives in urban contexts, particularly in the Global South. This study addresses that gap by examining waste banks in Semarang, Indonesia, highlighting the critical importance of these grassroots initiatives within the broader discourse of community engagement. Using an ethnographic approach, data were collected through in-depth interviews, field observations, and open-ended survey responses across multiple community waste banks. The findings reveal the complex interdependence of four key actors—waste banks, itinerant collectors, scavengers, …

2026 Final Unreclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final Unreclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final Insufficiently Reclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A Bioecological Policy Analysis Of Trauma-Informed Practice: Implications For Families, Schools, And Communities, Anglin P. Thevaraja, Miriam R. Linver, Pearl Stewart, Kira Chontow

Department of Family Science and Human Development Scholarship and Creative Works

Objective: This study examined trauma-informed practice (TIP) legislation introduced across the United States in 2022, identifying policy trends and evaluating the influence of political affiliation on TIP implementation, particularly in education settings.

Background: Childhood trauma affects emotional regulation, learning, and long-term health. Although TIP has gained national attention, there is no standardized federal framework, resulting in inconsistent support for students across states.

Methods: Using secondary data from the Institute on Trauma and Trauma-Informed Care, 313 TIP-related legislative proposals were analyzed. Thematic analysis identified key focus areas, and chi-square tests examined relationships between legislative control, policy adoption, and school-focused legislation.

Results: …

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 …

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 …

From Minimum To Meaningful: A Use Of Force Training Regimen For Rural Police Departments, Joseph Corley

Dissertations, Theses, and Projects

This paper examines how small and rural law enforcement agencies can improve use of force training despite limited staffing, budgets, and training opportunities. Current Minnesota POST Board minimum standards establish baseline requirements but allow significant variation in how agencies develop and deliver training, contributing to inconsistent officer preparedness and skill retention. Drawing on current research in police training, motor skill retention, and scenario based learning, this paper argues that infrequent, skills based training is insufficient for preparing officers to manage dynamic, high risk encounters. The paper proposes an evidence based training regimen centered on two department led use of force …

Evaluating Machine Learning Models On Classification Of Novel Cyber Attacks In The Healthcare Domain, Promise Ehimen

Dissertations, Theses, and Projects

The increasing adoption of the Internet of Medical Things (IoMT) has improved healthcare delivery through connected medical devices while simultaneously expanding the cybersecurity risks facing healthcare organizations. Although machine learning based intrusion detection systems have demonstrated high detection accuracy, their ability to respond reliably to previously unseen cyberattacks remains uncertain. This study investigated how a Neural Network model and a Logistic Regression model classified novel cyberattacks within the IoMT environment. The Neural Network and Logistic Regression models were both trained and tested using a subset of the CICIoMT2024 benchmark dataset. The Neural Network achieved 99.82% test accuracy and a 0.94 …

Psychological Needs And Ai Delegation Across Four Social Domains - A Cross-Cultural Analysis Of 35 Nations, Magnus Liebherr, Ala Yankouskaya, Mohamed Basel Almourad, Justin Thomas, Guandong Xu, Raian Ali

All Works

As artificial intelligence (AI) systems increasingly assume roles with social, educational, and emotional significance, understanding the psychological drivers behind individuals' readiness to delegate such roles to AI is crucial. Drawing on Self-Determination Theory (SDT), this study examines how the satisfaction of basic psychological needs (autonomy, competence, and relatedness) predicts individuals' readiness to delegate socially significant roles to AI across four domains (education, healthcare, mental health, and companionship) and 35 nations. Using data from over 35,000 participants in the 2023 Global Digital Wellbeing Survey, we applied Bayesian multilevel multivariate modelling to assess both global and culture-specific motivational associations. Results revealed that …

Enhanced Transdermal Immunization Via Solid-In-Oil Nanodispersions Incorporating Dendritic Cell-Targeting Peptide, Md Samiul Islam, Md. Shahin Ekka Sarker, Yoshirou Kawaguchi, Rie Wakabayashi, Noriho Kamiya, Muhammad Moniruzzaman, Masahiro Goto

Publications and Research

Transdermal immunization represents a promising needle-free alternative to conventional vaccination. However, efficient antigen delivery and robust immune activation remain major challenges. In this study, a solid-in-oil (S/O) nanodispersion system comprising a dendritic cell-targeting peptide (HR8), ovalbumin (OVA), and an adjuvant was developed for transdermal immunization. The HR8 peptide along with OVA was successfully incorporated into an S/O nanodispersion with an optimal hydrodynamic diameter of particles (< 200 nm) and exhibited stable physical properties for up to 90 days. In vitro and in vivo studies demonstrated enhanced antigen delivery with insignificant skin irritation in C57BL/6N mice. Moreover, in vivo transdermal immunization studies demonstrated that the addition of the HR8 peptide enhanced OVA-specific IgG responses (~1.5-fold). Notably, the HR8 peptide also promoted an approximately 2.5-fold increase in IgG2c levels, suggesting a shift toward a more T helper type 1-biased immune response, as reflected by an increased IgG2c/IgG1 ratio. Overall, these findings demonstrate that the incorporation of HR8 peptide into an S/O nanodispersion enables efficient transdermal antigen delivery and improved immunogenicity, highlighting its potential as a simple, non-invasive, and patient-friendly immunization strategy.

Improving Type 2 Diabetes Prevention In The Adult Population, Katy A. Poenitske

Doctor of Nursing Practice Scholarly Project

The purpose of this study was to determine the current knowledge level in regard to type 2 diabetes prevention and methods to aid in prevention. This project was conducted by surveying participants regarding their current knowledge over preventative methods. Then through an education video, an evaluation was completed to determine information learned. The themes of this project were to provide education to adults regarding diet, exercise, medications, and surgical approaches. This process of data collection occurred across a four-week timespan, and it was presented through a digital platform. Through these methods, the goal was for participants to state an understanding …

A Community Planning Approach To Green Infrastructure And Hazard Mitigation, Kara Salazar, Daniel Walker, Carrie Mckillip

Journal of Extension

As communities seek to increase their resilience to climate change and natural hazards, integrating mitigation and adaptation solutions into local planning has become essential. Purdue Extension, the University of Illinois Extension, and Illinois–Indiana Sea Grant developed a program, funded by the Extension Disaster Education Network, which supports community-based updates to hazard mitigation and resilience planning, with an emphasis on green infrastructure. This paper highlights the lessons we learned after implementing the program in Hancock County, Illinois, and LaPorte, Indiana, and the toolkit we created, which provides engagement and education techniques, planning processes, and other resources to Extension professionals working in …

Choledochoduodenostomy For The Treatment Of Extrahepatic Bile Duct Carcinoma In A Cat, Qi Zhang, Chunli Han, Anchi Zhang, Zhiying Wan, Yansong Ge, Zheng Wang, Jiasan Zheng

The Thai Journal of Veterinary Medicine

This paper reports a case of feline cholangiocarcinoma, a relatively rare condition in veterinary clinical practice. A 4-year-old female British Shorthair cat was presented with a 10-day history of anorexia and lethargy. An irregularly shaped mass was palpable on abdominal palpation. Diagnostic imaging and serum biochemical findings indicated extrahepatic biliary obstruction, and the diagnosis of cholangiocarcinoma was confirmed by histopathology and immunohistochemistry. Preoperative imaging in this cat indicated that the mass had not invaded major blood vessels such as the portal vein, and no evidence of distant metastasis was detected. The mass was surgically resected, followed by choledochoduodenostomy. The cat …

[Discussions] Vol. 22 Iss. 1

Discussions

No abstract provided.