Digital Commons Network^™

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 …

Modelling Malaysian Mortality With Cause-Of-Death: A Compositional Data Approach To Lee-Carter Extension, Saiful Azril Ishak, Norazliani Md Lazam, Shamshimah Shamsuddin, Nurin Haniah Asmuni, Nordiana Rosdi

Malaysian Journal of Computing (MJoC)

Forecasting cause-specific mortality is at the core of actuarial valuation, annuity pricing, and long-term public health planning. In traditional extrapolation frameworks such as the Lee-Carter and Li-Lee models, probability leakage is a structural flaw which causes the independently projected cause death rates to not sum to total mortality and results in implausible trajectory crossovers. To overcome these shortcomings, this study explores the application of Compositional Data Analysis (CoDA) extensions namely CoDA Lee-Carter (CDLC) and CoDA Li-Lee (CDLL) to historical Malaysian cause of death data. We transform cause proportions to the unit simplex using centred log-ratio coordinates. This transformation imposes exact …

Teacher And Principal Turnover In Alaska: Statewide Trends From 2013-2024, Dayna Jean Defeo, Noah Burke, Trang C. Tran

CAEPR Reports

Research consistently affirms that good teachers are critical for a child’s academic success, as well as their long-term social and economic outcomes. However, high teacher turnover disrupts instructional continuity and hurts student achievement. In Alaska, maintaining a stable educator workforce has been a challenge for nearly three decades. This report updates the state’s longitudinal retention data to report on trends in teacher turnover from 2013 to 2024. The report finds that, while the majority of Alaska’s educators stay at their main schools from year to year, overall turnover has trended upward since 2013 (with the exception of reduced turnover during …

Law School Record, Vol. 73, No. 1 (Fall 2026), Law School Record Editors

Law School Record

• Message from the Dean
• Legal Education in the Age of AI
• Speaking Out Beyond The Bench
• Theory In Practice
• Asked and Answered
• Meet the Five Alumni Now Clerking at the US Supreme Court
• Meet Lucy Msall, MLS '23 Newest Member of the Law School Faculty
• Faculty awards and recognition
• Trial By Fire: Inside the Law School's Intensive Trial Practice Workshop
• Development News
• Law School Unveils Portrait Honoring Geoffrey Stone, '71
• In Memoriam
• A Tribute to Professor Randal C. Picker, '85
• Giving Back: Peter Kolker, '66

2026 October, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for October of 2026.

Shsp Dean's Newsletter, Fall 2026, Brian J. Nickerson

SHSP Dean’s Newsletter

No abstract provided.

Teaching Prevention Before Disease Management: A Sustained Curriculum Innovation In Pre-Licensure Nursing Education, Selam Stephanos, Jan M. Nick Phd

Loma Linda University Research Reports

Chronic noncommunicable diseases are the leading causes of death worldwide, yet many are preventable or reversible through lifestyle change (Dean et al., 2014). Although nurses are well-positioned to support health behavior change, pre-licensure nursing education remains largely didactic, disease-focused, and introduced late in the curriculum (Kemppainen et al., 2013; Shea et al., 2021). To align with national priorities, we redesigned a pre-licensure health promotion course around lifestyle medicine and experiential teaching strategies. This presentation describes the process and sustained implementation results.

In Brief, Case Western Reserve University School Of Law

In Brief

Table of Contents

• Message from the Dean
• The Country's Pioneering Health Law Center
• Celebrating the 25th Anniversary of our War Crimes Research Office
• Foundations of Practice: Beginning the Journey from Law Student to Lawyer
• CWRU Law School's Teams Win Two National Championships in 2026
• Scholarly Impact
• 2025-2026 Conferences and Lectures Roundup
• Alumni Spotlight
• Class Notes
• In Memoriam
• Campus Comeback
• Diploma Day

Submission Guidelines For Graduation Requirements, Heather Hankins

Training Materials, User Guides, and Documentation

Last Updated October 2026

These submission guidelines support:

• Bachelor of Architecture submissions
• Honors capstone and thesis submissions
• Master's Thesis submissions
• Master's Project submissions (any non-thesis master's level culminating project)
• Dissertation submissions

All graduating KSU students should use this submission guide to identify the correct collection and submit their required deliverable, whether is it a thesis, dissertation, or other project.

Please contact [email protected] if you have any questions.

The Pal Compass For Navigating Ai In Education, Anny Fritzen Case, Christine Dawson, Deborah Vriend Van Duinen

Teacher Education Faculty Scholarship

A framework for reflecting on AI in Education through Purpose, Agency, and Learning.

Front Matter, Art Inquiries, Kris K. Belden-Adams

Art Inquiries

No abstract provided.

Here Come The Brides: Sylvia Sleigh, Lawrence Alloway, And Hetty Remington, Andrew D. Hottle

Art Inquiries

Sylvia Sleigh (1916–2010), a Welsh-born artist who lived and worked in England before settling in the United States, is known primarily for her uninhibited portraits of nude men, many of which were painted in New York City during the feminist art movement of the 1970s. Over the last half-century, Sleigh’s male nudes have been both admired and derided for disrupting the conventional paradigm of the male artist and unclothed female model. Among them are Philip Golub Reclining (1971; private collection) and The Turkish Bath (1973; David and Alfred Smart Museum of Art, University of Chicago), which were inspired by canonical …

Adrienne L. Childs, Ornamental Blackness: The Black Figure In European Decorative Arts, Brigid M. Boyle

Art Inquiries

Ornamental Blackness by Adrienne L. Childs offers the first comprehensive survey of European luxury and utilitarian objects that treat Black Africans as decorative motifs. Proceeding chronologically from the middle Baroque period to the late nineteenth century, Childs charts the initial production of racialized objects for royal courts and aristocratic households and their later dissemination to middle-class homes. Items such as furniture, light fixtures, clocks, tableware, porcelain figurines, and treasury objects became an apparatus for controlling and fetishizing Black bodies, reinforcing the idea of Black servitude as normal. Many of these objects were crafted from precious natural materials whose extraction and …

Memory In Fragments: The Lives Of Ancient Maya Sculptures By Megan E. O’Neil, Jeanette Nicewinter

Art Inquiries

No abstract provided.

Harry Boone: From Entropy To Renewal, Gertrude Herbert Institute Of Art, Augusta, Ga, Mysoon Rizk

Art Inquiries

No abstract provided.

Gustave Courbet: Realist And Rebel, Leopold Museum Vienna, Austria, Joyce Polistena

Art Inquiries

No abstract provided.

On Canvas: The Origins And Implications Of A Common Phrase, Kerr Houston

Art Inquiries

Why do modern art historians and conservators describe paintings executed on cloth in Europe in the fourteenth and fifteenth centuries as works on canvas, when late medieval and early Renaissance sources never do the same? This article answers that question by tracing and analyzing the evolution of canvas as a term in the history of painting. Until the late 1400s, it will be argued, the term canvas and its regional variants connoted coarse woven fabrics made of hemp that were associated with rugged, utilitarian needs and rural poverty—but not with painting. By contrast, artists and related texts relied on …

Alison Place, Ed., Feminist Designer: On The Personal And The Political In Design, Anmol Shrivastava

Art Inquiries

No abstract provided.

Book Review: The Art Of Anna Dorothea Therbusch (1721-1782) By Christina K. Lindeman, Amanda Strasik

Art Inquiries

No abstract provided.

Encoded, The Metropolitan Museum, New York, Ny, Tamara Smithers

Art Inquiries

No abstract provided.

A Bibliography Of Faculty Scholarship, Kathryn J. Dufour Law Library

Scholarly Articles

The purpose of this bibliography is to record in one place the substantial body of scholarship produced by the current faculty at the Catholic University, Columbus School of Law. From its humble beginnings under the tutelage of founding Dean William Callyhan Robinson, through its adolescent period when, like so many other American law schools, it was trying to define its pedagogical niche, to its eventual merger with the Columbus University Law School in 1954, the law school at Catholic University has always retained a scholarly and remarkably productive faculty. The sheer quantity of writing, the breadth of research and the …