Digital Commons Network^™

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 …

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 …

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 …

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 …

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, …

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 …

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 …

Arabic Clinical Mental Health Named Entity Recognition Via Distant Supervision: Recurrent Vs. Transformer-Based Architectures, Ali A. Jalil, Rabih Sbera

Polytechnic Journal

Arabic Natural Language Processing (NLP) has made great strides, but the accurate extraction of mental state and physiological symptoms from patient-generated clinical consultations in dialectal Arabic, which is plagued with significant morphological complexity, colloquial noise and an extremely limited number of manually annotated clinical benchmarks, remains a significant challenge. In this work, we propose an end-to-end token-level symptom extraction system that is systematic and grounded in distant supervision paradigm and a strict gold standard evaluation with human verification to ensure real-world clinical generalization. A large weakly labelled corpus of 46,873 Arabic patient questions was created based on a clinical lexicon …

Service Robots With Low Anthropomorphism In Restaurants: Consumer Reactions And Implications, Ferhat Eren, Volkan Genc

Journal of Global Hospitality and Tourism

This study investigates consumer responses to low-anthropomorphic service robots in restaurant front of-house roles using the AIDUA (Artificially Intelligent Device Use Acceptance). Data from 1,268  participants were analysed using PLS-SEM. The results revealed that social impact and  anthropomorphism significantly influenced both performance and effort expectancy, while hedonic  motivation influenced only performance expectancy. Performance expectancy strongly influenced  emotions, which in turn significantly influenced both the willingness to use service robots and objections  to their use. However, effort expectancy did not significantly influence emotions. The findings validate the  AIDUA model in this context and offer practical insights for robot design and implementation.

Beyond The Poster Session: Turning A Scientific Poster Into A Publishable Manuscript, Scott R. Beason

The Compass: Earth Science Journal of Sigma Gamma Epsilon

Scientific posters are often treated as the final product of an undergraduate research project. After months of fieldwork, laboratory analysis, data processing, and interpretation, a student prepares a poster, presents the work at a departmental symposium or professional meeting, rolls up the poster, and moves on to the next stage of their career. The research, however, does not necessarily need to end with the poster session. A well-developed scientific poster already contains many of the fundamental elements of a scientific manuscript: a research question, scientific context, methods, results, figures, interpretation, discussion, and conclusions. Converting a poster into a manuscript therefore …

In Memoriam: Dr. Don C. Steinker (1936-2026), Paleobiologist, Teacher, Editor, And Mentor, Margaret M. Yacobucci, Susan T. Goldstein, Ronald E. Martin

The Compass: Earth Science Journal of Sigma Gamma Epsilon

Dr. Don C. Steinker, Professor Emeritus of Geology and Paleobiology, died at the age of 89 in Bowling Green, Ohio, on February 5, 2026. During his remarkable 43-year career at Bowling Green State University (BGSU), Don played a pivotal role in developing the Paleobiology specialization within the Geology undergraduate degree program, mentored generations of students, and served as advisor for the Beta Upsilon chapter of Sigma Gamma Epsilon (SGE) from 1969 until his retirement in 2010. In this brief memorial, we will highlight some of Don’s most important contributions to BGSU’s geology program, the field of foraminiferal paleobiology, geoscience education, …

A Tribute To Frank Delno Holland, Jr. (1924-2023), Sigma Gamma Epsilon National President (1970-1975), Paleontologist, And Friend, John M. Erickson

The Compass: Earth Science Journal of Sigma Gamma Epsilon

Frank Delno Holland, Jr., was born in Leavenworth, Kansas, on March 6, 1924. All family and friends, including his students and professional acquaintances, knew him as Bud. His parents were Frank D. Holland and Francys Bell Holland. His paternal grandparents, O.B. and Laura Holland were North Dakotans who had homesteaded in Sargent County during the 1880s, but had relocated to Kansas in 1903. Bud had a rural upbringing on the outskirts of Leavenworth, graduating in 1942 from Leavenworth High school. It seemed natural that he would follow in his father’s footsteps by attending the University of Kansas (KU) so Bud …

The Compass - Volume 95 Issue 2 - Complete Issue, Scott R. Beason

The Compass: Earth Science Journal of Sigma Gamma Epsilon

No abstract provided.

Implementation Of The Problem-Based Learning Model On The Topic Of The Immune System To Enhance The Critical Thinking Skills Of Grade Xi B Students At Sman 1 Tojo, Nani Sofyanti, Sutrisnawati Sutrisnawati, Vita Indri Febriani, Mohammad Jamhari, Bustamin Bustamin, Raya Agni

Jurnal Pendidikan Sains

Critical-thinking skills are essential competencies for students in 21st-century learning. Preliminary classroom observations in Class XI B at SMAN 1 Tojo indicated that instruction remained predominantly teacher-centered and provided limited opportunities for students to engage in activities involving interpretation, analysis, evaluation, and inference. This study aimed to improve students’ critical-thinking skills through the implementation of Problem-Based Learning (PBL) on the immune system topic. The study employed a Classroom Action Research (CAR) design conducted over two cycles, involving 28 students in Class XI B. Data were collected using a teacher activity observation sheet and critical-thinking skills tests assessing four indicators: interpretation, …

Bioherbicidal Potential Of Noni Fruit (Morinda Citrifolia) Extract Against Water Hyacinth (Eichhornia Crassipes), Nur Rahma Afriani, Paulus Hengky Abram, Vanny M Agustina Tiwow, Reny Reny

Jurnal Pendidikan Sains

Noni fruit (Morinda citrifolia) contains secondary metabolites that may have potential bioherbicidal activity. This preliminary laboratory experiment aimed to identify flavonoids and tannins in noni fruit extract and to describe the phytotoxic responses of water hyacinth (Eichhornia crassipes) exposed to different extract concentrations. Noni fruit was extracted with 96% ethanol by maceration and concentrated using a rotary evaporator. The extract was qualitatively screened for flavonoids and tannins and applied to water hyacinth at concentrations of 0%, 10%, 20%, 30%, and 50% (v/v), with three plants per treatment. Plant responses were observed for 25 days and analyzed …

Complete Issue - Volume 48, Issue 1, Hubert H. Mcalexander, Christopher K. Curtis, Eric C. Clark, Daniel C. Vogt, Lisa N. Howorth, Frank Allen Dennis, John F. Marszalek, Steve Pieschel, Patricia Galloway, Demas Brubacher

Journal of Mississippi History

No abstract provided.

Mississippi's Anti-Evolution Law Of 1926, Christopher K. Curtis

Journal of Mississippi History

No abstract provided.

Defining Teacher Envelopment: A Non-Aristotelian Approach To Meta-Practices In The Philosophy Of Teacher Education, Rob Blom

Journal of Contemplative and Holistic Education

The late Jonathan Neufeld argued that redefining teacher development required meta-practices, yet he never defined what these meta-practices were. To define them rigorously requires grounding teacher cultivation practices within coherent structures of truth capable of withstanding philosophical scrutiny—a challenge intensified by post- truth discourse that flattens epistemological depth in secularised educational theory. This paper advances a theory of teacher envelopment to complement conventional teacher development through identifying mindfulness and discernment as foundational meta-practices grounded in non-Aristotelian systems. The framework rests on three interrelated concepts: (1) truth paradigms encompassing contemplative, articulatory, and embodied dimensions; (2) epistemological depth as extensional practices that …

Hear My Voice As Who I Am: Theorizing The Essence Of Poetry In Holistic Global Citizenship Education, Shue-Kei Joanna Mok

Journal of Contemplative and Holistic Education

Poetry as an imaginative language art has long been perceived as the core of humanity, the foundation of human advancement (Arnold,1880; Rorty, 2007). By composing, critiquing, and sharing/performing poems, not only does the process enrich and deepen one’s relationship to oneself, understanding and reflecting on the contextual, historical, cultural, social, and creative backgrounds of the poems and poets allows one to have greater connections with the broader environment across temporal, spatial, and social dimensions with human and non-human beings.

This paper first frames the core concepts and values of global citizenship from a Confucius perspective to emphasize the significance of …

Contemplative Pedagogy, Mindfulness And Reflection In Teacher Education, Karen O. Ragoonaden Dr., Leslie Shayer

Journal of Contemplative and Holistic Education

This study explores the intersections of contemplative pedagogy, mindfulness practices and reflection in education. Contemplative pedagogy and mindfulness practices were introduced to three cohorts in teacher education, in graduate education, and in professional development education. This pedagogy and the practices provided a time, a place and a community to engage in personal and professional reflections about teaching and learning. The themes identified in this study demonstrated that engaging in contemplative pedagogy in a nine-week mindfulness course provided increased opportunities to reflect on self-awareness, on wellbeing and on the professional practice of education. The qualitative results of this study indicate that …

Evaluating The Nash Reaction As A Sustainable Alternative To The Snar Reaction In The Synthesis Of Pharmaceutical Intermediates, Allison L. Ryerson, James K. Bashkin, Jessica R. N. Thompson, Adam Weiss, Huy Q. Nguyen

Undergraduate Research Symposium

Nucleophilic aromatic substitution (SNAr) reactions are one of the most widely used reaction classes in pharmaceutical production today, used for example to produce nitroaryl amine intermediates. In comparison to the traditional SNAr pathway, the nucleophilic aromatic substitution of hydrogen (NASH) provides a greener alternative in pharmaceutical production by using cheaper starting materials, eliminating more hazardous solvents, and reducing toxic waste.

Synthesis And Charge Transport Characterization Of 9,9'-Bifluorenylidene-Based Conjugated Molecules For Single-Molecule Conductance, Zach Moughamian, Jahnavi Badiganti, Jinjia Xu

Undergraduate Research Symposium

Molecular electronics explores the use of individual molecules as functional components in nanoscale electronic devices. In this project, fluorenone-based π-conjugated molecules including 9,9'-bifluorenylidene-S and triphenylamine-substituted derivatives were synthesized to investigate structure-property relationships relevant to molecular charge transport. The synthesized compounds were obtained in 13% and 27% yield respectively. ¹H NMR spectroscopy confirms characteristic aromatic resonances in the 7-9 ppm region consistent with the conjugated framework. UV–Vis spectroscopy reveals absorption maxima at 459 nm and 470 nm, indicating extended π-conjugation and donor-acceptor effects. Single-crystal X-ray diffraction confirms the structure of 9,9'-bifluorenylidene-S, which crystallizes in the monoclinic system (space group P2₁/c). In …

Enantioselectivity Of The Photochemical Continuous-Flow Isomerization Of Humulones, Gregory M. Giovine, Trevor Smith, Bruce Hamper

Undergraduate Research Symposium

Humulones, the primary natural product present in the historically significant hop flower, represent a largely unexplored candidate for structure-based pharmaceutical design.  Showing promising biological activity as an anti-bacterial and anti-inflammatory agent, humulones are of interest both for their bioactive properties and for their long-established tolerability and natural abundance.  Humulones undergo a characteristic isomerization reaction, where the six-membered substituted phloroglucinol ring contracts to a five-membered ring isohumulone, under a variety of conditions, including those enabled by brewing conditions (thermal, metal-catalyzed) and by exposure to UV light.  Optimization of the photocatalyzed isomerization of n-humulone to n-isohumulone in flow conditions resulted in a …

Phenomenological Psychology : The Selected Papers Of Erwin W. Straus, Erwin Straus

Hannah Arendt Marginalia - All

New York : Basic Books, [©1966]

Call # : BF204.5 .S7

Contains underlining

PDF Information : 13 Pages, 6 MB

Mapping St. Louis History: Slavery, Redlining, And The May 16th Tornado, Safa M. Altamimi, Aster Horbanova, Riley J. Bearden, Vivian B. Rhodes, Bridget Ragan

Undergraduate Research Symposium

For this project, our group members are traveling across St.Louis to areas that are affected by the May 16th tornado. We will be taking pictures and using ArcGIS survey123 to input data connecting the tornado to historical forces such as Redlining and Slavery. Using this data, we will be creating an ArcGIS StoryMap and presenting our findings.

Love And Artificial Intelligence: A Research Proposal, Bryanna M. Deatherage, Necdet Gurkan, Sandra J.E. Langeslag

Undergraduate Research Symposium

What happens when people fall in love with Artificial Intelligence (AI)? This study seeks to examine individuals who are in love with AI companions to gain a deeper insight in the cognitive and affective consequences. In addition, this study will examine the most effective forms of intervention regarding growing or reducing feelings of love toward AI. The first part of this study will be a questionnaire about the social and emotional impact of being in love with an AI companion. Three hundred participants will be recruited through online communities related to AI companions. The second part of this study will …