Digital Commons Network^™

Cultivating Success: Exploring Mentorship In Collegiate Speech And Debate For Student Retention And Growth, Vanessa Fowler

National Forensic Journal

While many are drawn to forensics because of the allure of advocacy through public speaking and moving performances, there also exists the human element of forensics that continues to keep people involved and build life lasting relationships when the competition years are finished. Mentorship plays a distinctive role in the forensics community in the way coaches work to build their teams and for the students to have guides along their journeys whether they continue within the activity after their competitor years or not. This thesis delves into the pivotal role of mentorship within the collegiate speech and debate community, examining …

The Aesthetics Of Violation: Visual Rhetoric And The Ethics Of Spectatorship In Venetian Ovidian Painting, Khira Rudolph

Theses

In this thesis, we will consider how 16th-century Venetian painters used sophisticated visual methods, colorito, glowing atmospheric glazes, serpentine lines and spatial buffering to camouflage the physical violence of Ovidian abduction stories. Most historical art literature in the past has hailed high Renaissance masters Titian and Paolo Veronese as technical bravura, lyrical colorism and visual appeal in the face of social and emotional tragedy in their work on canvas. In comparing Titian’s The Rape of Europa, Paolo Veronese’s The Rape of Europa, Paolo Veronese’s circle Scene from the Metamorphoses of Ovid: The Rape of Proserpine and Rembrandt …

Formed Together: A Value-Based Model Of Mutual Spiritual Formation For Pentecostal Pastors And Churches Under 500, W. T.A. Mcmillan

Doctor of Ministry (DMin)

“Pay careful attention to yourselves and to all the flock” (Acts 20:28) is both a warning and an invitation. It insists that the pastor's inner life and the congregation's shared life cannot be pulled apart without doing damage to both. This dissertation grows out of that conviction and out of years of pastoral ministry in Pentecostal churches where the pressure to perform often overwhelms the slow work of being formed. It asks a simple but searching question: How do Assemblies of God pastors serving congregations under 500 in attendance understand the connection between their own spiritual health and the spiritual …

Sanctified Rhythms Of Rest: Reclaiming Sabbath And Spiritual Retreat For Pastoral Renewal And Burnout Mitigation In The Georgia Assemblies Of God, Philip Sosebee

Doctor of Ministry (DMin)

“Sanctified Rhythms of Rest: Reclaiming Sabbath and Spiritual Retreat for Pastoral Renewal and Burnout Mitigation in the Georgia Assemblies of God” explored how intentional rhythms of Sabbath observance, solitude and silence, and spiritual retreat shaped the lived experiences of credentialed ministers within the Georgia District of the Assemblies of God. Pastoral burnout, emotional exhaustion, and unsustainable ministry expectations continue to affect ministers across denominational contexts, raising questions regarding the role of biblically grounded rhythms of rest in fostering pastoral renewal and sustainability. Using a six-month longitudinal hermeneutic phenomenological design, twenty-nine credentialed ministers participated in the intentional practice of weekly Sabbath …

The Quest For Sacred Truth In A Secular Society What Is Fueling Gen Z’S Return To Faith And Church Attendance In America?, William W. Dornbush

Doctor of Ministry (DMin)

This dissertation investigated the Critical Research Question: What are the key external factors influencing Generation Z’s internal quest for spiritual renewal? The study examined biblical, historical, and contemporary revival movements, including the Exodus, Pentecost, the Great Awakenings, the Jesus Movement, Charismatic Renewal, Brownsville, Toronto, and Asbury, to identify recurring patterns linking external pressures to spiritual awakening. Using a qualitative design, the study conducted semi-structured interviews with twelve Generation Z participants who experienced spiritual searching, renewal, or a deepened faith between 2020 and 2025, exploring how contemporary external pressures influence spiritual openness and transformation. The findings revealed six major themes: (1) …

The St. Louis Zine Project: A Study And Documentation Of Live Music, Dawnye Appel

Theses

This practice-based project examines how documentary photography and zine-making can document and interpret an independent live-music venue as a site of atmosphere, cultural memory, and community. Focusing on The Sinkhole in St. Louis, Missouri, the inquiry considers what becomes visible when the venue, rather than only the performer, becomes the subject of photographic documentation. Project materials include photographs taken during a single visit on July 11, 2026, observations of the venue, and an interview with owner Matt Stutler, documented through written notes. Scholarship on live-music spaces, cultural memory, photography, and self publishing informs the interpretation of these materials. Analysis occurs …

The Lived Experience Of Secondary Charter-School Teachers Who Implement Artificial Intelligence In Their Daily Instructional Practices, Gabriela C. Villa

PhD in Education

Little is known about the lived experiences of secondary charter-school teachers in Broward County who use artificial intelligence (AI) in their daily instructional practices. To address this gap, the purpose of this qualitative, phenomenological study was to understand teachers’ lived experiences with AI integration in their daily instructional practices. The study was guided by the technological pedagogical content knowledge (TPACK) framework, which supported an understanding of how teachers integrated technology, pedagogy, and content knowledge when using AI. Using convenience sampling, 10 secondary charter-school teachers with teaching experience ranging from 5 to 21 years were recruited. Data were collected through semi-structured …

Exploring The Significance Of Kenya's Indigenous And Emerging Blue Foods For Sustainable Aquaculture Development. A Review, Jonathan Munguti, Mavindu Muthoka, Domitila Kyule, Esther Magondu, Kevin Obiero, Jimmy Mboya, Menaga Meenakshisundaram, Tanga M. Chrysantus, Gerald Kwikiriza, Francis K. Njonge

All Peer-Reviewed Publications

Kenya's aquaculture sector is at a pivotal stage, transitioning from a historical reliance on Nile tilapia and African catfish toward a more diversified production portfolio that integrates indigenous and emerging freshwater and marine species. This shift is increasingly recognized as essential to enhance climate resilience, food security, and ecosystem health. This systematic review synthesizes more than two decades (2000 to 31st January, 2026) of peer-reviewed literature to evaluate the biological suitability, culture performance, and socio-ecological roles of underutilized native taxa, including Ningu (Labeo victorianus), Jipe tilapia (Oreochromis jipe), freshwater prawns (Macrobrachium spp.), rabbitfish (Siganus sutor), marine-acclimatized Nile tilapia, mud crab …

9/11 In Cuny Archives: A Research Guide, Lindsey Kratochwill

Publications and Research

9/11 in CUNY Archives is a guide to the archival materials across CUNY campuses and repositories that pertain to the attacks on the World Trade Center on September 11, 2001. This guide is organized by repository and contains descriptions based on finding aids and metadata as well as hyperlinks to digitized materials where available. The collections, curated by the author in consultation with archivists across the CUNY system, include materials created by students – newspapers and yearbooks – as well as correspondence, news clippings, legislative documentation, photographs, oral histories, videos, and artifacts from first responders and memorials.

Compliance And Systems Data Management Report: Monthly Waiver Participation Trends, October 2026, Tennessee. Department Of Disability And Aging

Compliance & System Data/Reports

This monthly report provides data on various aspects of the department's activities and programs.

2026 Quality Of Life Survey - Orleans And Jefferson Parishes, Edward Chervenak, Anthony Licciardi

Survey Research Center Publications

The LSU New Orleans Survey Research Center (SRC) conducted a live-interviewer telephone survey of active registered voters in Orleans Parish and Jefferson Parish. Four hundred randomly selected respondents from each parish were interviewed from September 12th through September 30th. Each parish survey yields a margin of error of +/- 4.9% at a 95% confidence level.

These surveys are designed to provide an ongoing picture of how voters view local government services and the general quality of life. They highlight the problems that are of greatest concern to the voters, as well as areas of satisfaction in their parish. The forty-year …

Assessing The Co-Benefits Of Housing And Transportation Investments In Prohousing Designated Jurisdictions, Hongwei Dong

Mineta Transportation Institute

In response to California's ongoing housing affordability crisis, state and local governments have adopted a range of prohousing policies aimed at reducing barriers to housing production and promoting the integration of housing with transportation. This study examines two distinct but related dimensions of prohousing policies in California. One concerns the Prohousing Designation Program (PDP) (established by the 2019–2020 Budget Act), analyzing the adoption and implementation of prohousing policies in 56 California cities that received Prohousing Designation. The other examines recent state and local policy shifts aimed at promoting affordable housing in transit-rich areas. The study uses a mixed-methods research design, …

Women's Empowerment And Transformations In Marriage Formation And Dissolution: From Social Anxiety To Evidence-Based And More Responsive Policies, Hoda Rashad, Mohamed Hassan

Faculty Journal Articles

The central premise of this policy brief is that effective family policy in Egypt cannot be built on public perceptions, ideological assumptions or isolated demographic indicators. It must instead be grounded in robust evidence and a comprehensive understanding of the changing mechanisms through which women form, sustain and dissolve marital unions.

The study provides evidence-based findings that are inconsistent with the crisis and anxiety mode dominating the public discourse. The findings neither dismiss the public concerns nor support their dominant framing. Delays in marriage, the growing visibility of never married and divorced women, and the increasing occurrence of divorce represent …

Analysis And Design Of Multi-Winding Current Ballasted Magnetics For Integrated Dc-Dc Conversion, Kishalay Datta

Dartmouth College Ph.D Dissertations

Power conversion circuits have become a bottleneck in terms of reducing the size and cost of modern electronic systems in a vast number of applications ranging from personal devices, to automotive systems, to data centers. This has motivated designs at higher frequencies where smaller passive components can be used. Unfortunately, magnetic components scale poorly to smaller dimensions. In addition, the AC resistance of magnetic components deteriorates due to current crowding effects at high frequencies. This has resulted in fully- integrated power converters with planar magnetic components having efficiencies lower than what may be theoretically achieved. In this work, we investigate …

Alfred Russel Wallace Notes 43. Alfred Russel Wallace’S Social Environment And Moral Progress., David Stack, Charles H. Smith Editor

Faculty/Staff Personal Papers

Alfred Russel Wallace’s Social Environment and Moral Progress (1913) was the last book he wrote and one of the most powerful statements of his thought and beliefs. As with his Revolt of Democracy (1913), written before but published after Social Environment and Moral Progress, the work finds Wallace passionate in his advocacy of social and economic reform. Despite his advanced age (Wallace turned 90 in January 1913), the book is deeply engaged with contemporary controversies, including the rise of labor, arguments against eugenics, and debates around the social and political status of women. What distinguishes Wallace’s text is that he …

Acceptability And Implementation Of A Primary Care Health Check For Autistic People: Findings From Evaluation Questionnaires And Interviews, Hannah Merrick, Helen Taylor, Barry Ingham, Tracy Finch, Sarah A. Al-Ashmori, Ruby Herrington, Clare Scarlett, Carole Buckley, Christina Nicolaidis, Dora Raymaker, Multiple Additional Authors

School of Social Work Faculty Publications and Presentations

Autistic people experience higher rates of physical and mental health conditions and face barriers to accessing healthcare. This study evaluated the acceptability and implementation of a co-designed primary care health check for autistic people (18 years+), delivered within a randomised controlled trial in Northern England investigating clinical and costeffectiveness. Following health checks, all autistic people, carers/supporters, and clinicians were invited to complete evaluation questionnaires and a subset invited for an interview. Eighty-one autistic people, 11 carers/supporters, and 18 clinicians returned questionnaires and were descriptively analysed; 44 participants were interviewed. Findings demonstrated that the pre-appointment questionnaire and health check appointment were …

Tennessee Archives Month Proclamation, 2026, Tennessee. Office Of The Governor

Tennessee Archives Month proclamations

Proclamation issued by the Governor designating October 2026 as Tennessee Archives Month.

Society Of Tennessee Archivists Annual Meeting Program, 2026, Society Of Tennessee Archivists, Janine Winfree, Jill E. Anderson, Sandra Campbell, Kathleen Feduccia

Society of Tennessee Archivists Annual Meeting programs

Program of the Annual Meeting of the Society of Tennessee Archivists held in Memphis, Tennessee on 2026 October 8-9.

Lung Cancer Mortality In Malaysia Through Mortality Dynamics Models, Suraya Fadilah Ramli, Norkhairunnisa Redzwan, Azizi Yahaya, Juliana Martika Mansor

Malaysian Journal of Computing (MJoC)

Over the last several decades, lung cancer remains one of the most frequent causes of cancer mortality across the world with significant implications for public health planning. Accurate forecast of the mortality rate and life expectancy is necessary for guiding health care resources. This research aims to analyze the historical trend in lung cancer mortality rates, evaluate and compare the accuracy of the three mortality forecasting models; Lee Carter, Age Period Cohort (APC) and Cairns-Blake-Dowd (CBD), forecast lung cancer mortality rate from 2021 to 2031 and compute life expectancy at birth. The lung cancer mortality data for Malaysia covering from …

Line Of Sight Lighting Effect In Dark Environment And Its Impact On Interactive Horror Game Experience, Hamzah Asyrani Sulaiman, Fuyen Heng

Malaysian Journal of Computing (MJoC)

Lighting effects in dark environments represent a fundamental psychological mechanism in horror game design, directly shaping player immersion, emotional tension, and the quality of interactive experience. Although Line of Sight (LoS) technology has been widely adopted across many game genres, empirical investigations examining how LoS-based dynamic lighting specifically affects player engagement, usability, and visual aesthetic perception within single-player horror puzzle contexts remain scarce. This paper presents the design, development, and user evaluation of “No One Left”, a three-dimensional top-down horror puzzle game developed using Unreal Engine 4, which systematically employs LoS-based lighting mechanics within a dark environment to restrict player …

Machine Learning-Based Mental Health Risk Prediction And Behavioural Clustering Among Malaysian Undergraduates, Norsyela Muhammad Noor Mathivanan, Debbie Yong Xi Foo, Gerard Soon Lee Chong, Siti Fazilah Shamsudin, Marizkays P. Jamison

Malaysian Journal of Computing (MJoC)

Mental health issues among undergraduate students have become increasingly prevalent, affecting emotional well-being, academic performance, and overall quality of life. The growing number of students experiencing stress, anxiety, and depression highlights the need for effective predictive models to support early risk identification and personalized intervention strategies. This study investigates the performance of several machine learning approaches, including Logistic Regression (LR), Random Forest (RF), Gradient Boosting, LightGBM, Extra Trees, XGBoost, Support Vector Classifier (SVC), and a stacked ensemble model for predicting mental health risk among Malaysian undergraduate students. The study utilizes a dataset comprising demographic, academic, lifestyle, and psychological assessment attributes …

Malaysia Tech Stock Forecasting Using Arima: A Comparative Analysis With Kalman Filter Noise Optimization, Sarah Nadirah Mohd Johari, Ahmad Irfan Mohd Sukeri, Restu Ananda Putra, Ahmad Nur Azam Ahmad Ridzuan

Malaysian Journal of Computing (MJoC)

Forecasting stock prices in Malaysia's technology sector is difficult due to market noise. To mimic market behavior, many models have been developed and gradually improved with new algorithms and machine learning techniques. Relying on a single model often has drawbacks, so hybrid models were introduced to improve prediction stability. This study used a time series method, Autoregressive Integrated Moving Average (ARIMA) that has been proven to be reliable in forecasting various types of data. However, the ARIMA model often struggles with handling nonlinear and noisy data; thus, hybrid integration of the Kalman Filter was introduced to help reduce noise. The …

Turning Ontologies Into Vectors: Embedding Malay Ontological Knowledge For Smarter Machine Learning, Zayanah Zafirah Zulkipli, Ruhaila Maskat, Noor Hasimah Ibrahim Teo, Jie Zhang

Malaysian Journal of Computing (MJoC)

This conceptual study proposes a three-layer methodological framework for representing Malay ontological knowledge in continuous vector spaces and integrating ontology-derived representations with machine-learning models. The framework comprises an Ontology Layer, an Embedding Layer, and an Integration Layer. Its contribution is not a new ontology-embedding algorithm rather, it provides a Malay-oriented methodological organization that links ontology construction, embedding-method selection, symbolic-subsymbolic fusion, ontology-guided consistency checking, and downstream evaluation. In the present study, the ontology layer is represented through a prototype Malay linguistic ontology and its class hierarchy and knowledge graph, whereas the embedding, integration, consistency-checking, and downstream evaluation stages are proposed components …

Assessment Of Age-Wise Diabetes Risk Using Biochemical Indicators And Machine Learning Classification Models, Farwa Afzal, Mohibullah Aziz, Shariffah Suhaila Syed Jamaludin

Malaysian Journal of Computing (MJoC)

Diabetes mellitus is a major metabolic disease across the world, leading to serious complications and healthcare challenges. Prediction of diabetes at an early stage with the help of biochemical as well as demographic factors can lead to better diagnosis and preventive measures for the same. This research paper aims to predict diabetes using biochemical parameters in combination with various machine learning classification techniques, stratified by age group. This study uses a dataset of diabetes data that includes demographic and clinical attributes like age, gender, body mass index (BMI), urea, creatinine, HbA1c, cholesterol, TG, HDL, LDL, and VLDL. Machine Learning classifiers, …

A Fuzzy Logic Decision Support System For University Student Dropout Assessment, Adam Aiman A Hamid, Harliza Mohd Hanif, Siti Rahimah Batcha, Nur Zafirah Mohd Sidek, Noratika Nordin, Norain Alwi

Malaysian Journal of Computing (MJoC)

Student dropout continues to be an issue in universities, which has a negative impact on the academic performance of students and the reputation of educational institutions. Since the dropout decision is affected by multiple factors like academic performance, financial situation, stress, and self-motivation, the status of these factors can be highly uncertain, subjective, and conventional assessment methods cannot consider this impreciseness. This study designed a fuzzy logic–based decision support system approach to account for the risk of student dropout in a flexible and human-like way. The purpose of this study was to assess the potential risk of a student dropout …

Vision Transformer-Based Classification Of Cervical Cancer Images, Muhammad Daniel Alif Jumairi, Itaza Afiani Mohtar, Suraya Masrom, Masurah Mohamad, Lathifah Alfat

Malaysian Journal of Computing (MJoC)

Cervical cancer is a significant health concern as it is one of the most fatal causes of cancer deaths in women. Detection at an early stage is vital, but conventional diagnostic procedures via Pap smears relies heavily on manual cytopathology inspection, a process prone to human fatigue, diagnostic subjectivity, and severe practitioner shortages in low-resource medical environments. To address these challenges, this study presents an automated cervical cancer image classification framework utilizing advanced Vision Transformer (ViT) architectures. Three ViT variants: Data-efficient Image Transformer (DeiT), Swin Transformer, and Cross-Attention Multi-Scale Vision Transformer (CrossViT) were fine-tuned and evaluated on the benchmark SIPaKMeD …

Comparative Machine Learning Prediction Of Carbon Monoxide Levels And Contributing Factors In Shah Alam, Farzana Zubaidi, Norshahida Shaadan, Septia Devi Prihastuti Yasmirullah

Malaysian Journal of Computing (MJoC)

Carbon monoxide (CO) pollution is a major environmental and public health concern because it is colourless and odourless and is produced mainly by incomplete combustion from vehicles, industries, and household sources. Accurate prediction of CO levels and identification of key contributing factors can support early warning and targeted mitigation strategies. This study compared eight machine-learning regression models—Support Vector Regression (SVR), Random Forest Regression (RFR), Decision Tree Regression (DTR), K-Nearest Neighbours (KNN), CatBoost, XGBoost, LightGBM, and Neural Network Regression (NNR)—using daily air-quality data from the Department of Environment Malaysia for 2018–2023. The dataset comprised 42 input features representing air pollutants, meteorological …

A Data Envelopment Analysis Approach To Benchmarking The Efficiency In Selected Malaysian Food Manufacturing Companies, Zuraida Alwadood, Natasya Syafiah Marlis Elias, Norlenda Mohd Noor, Bekzodjon Fayziev

Malaysian Journal of Computing (MJoC)

Food industry, which includes every stage of the production process, from farming and manufacturing to distribution, retail and services, is one of the biggest and most significant sectors in the global economy. The relative efficiency of Malaysian food manufacturing companies is still unclear since many of them lack benchmarking tools and struggle to allocate labor, energy and raw materials optimally. This study applies the Data Envelopment Analysis (DEA) method to examine the relative efficiency of Malaysian food manufacturing companies. Relative efficiency refers to the ratio of the weighted sum of the outputs to the weighted sum of the inputs. The …

Iot-Enabled Smart Durian Harvesting: An Integrated Platform For Real-Time Orchard Monitoring And Sustainable Harvest Management, Norisan Abd Karim, Nur Carmilla Abdullah Muhammad Shafiq, Nur’Aina Daud, Syibrah Naim, Syaheerah Lebai Lutfi

Malaysian Journal of Computing (MJoC)

Durian harvesting requires timely monitoring to ensure that fallen fruits are collected promptly, thereby reducing quality deterioration and potential economic losses. Traditional orchard monitoring relies heavily on manual inspection, making the process time-consuming, labour-intensive, and inefficient, particularly in large orchards. The Internet of Things (IoT) technology has been widely used in smart agriculture to manage orchards, but there are very few existing systems that combine real-time durian fall detection with a mobile application that sends immediate notifications, automatic image capture of fall events, and orchard management functions. This study develops an Integrated IoT-Based Smart Orchard Platform for real-time durian harvest …

Field Assessment Of Power Link Budget Accuracy In A Residential Ftth Gpon Deployment, Arnita, Zulfadli, Tiara Resti Indah Rahmawati, Aswan Muhammad Azizi, Sangkot Wahyu Pulungan

Malaysian Journal of Computing (MJoC)

Fiber to the Home (FTTH) based on Gigabit Passive Optical Network (GPON) is widely used for residential broadband access because of its high bandwidth capacity, scalability, and efficient use of passive optical infrastructure. During FTTH network planning, Power Link Budget (PLB) analysis is commonly applied to estimate cumulative optical losses and received optical power. However, differences may occur between theoretical PLB calculations and actual field measurements due to practical deployment conditions. This study assesses the consistency of PLB predictions using field measurements from a residential FTTH GPON deployment. Measurements were conducted at two Fiber Access Terminal (FAT) points using an …