Digital Commons Network^™

User Behaviour Prediction In E-Commerce Using Logistic Regression, Wei-Wen Lee, Noramiza Hashim, Shaymaa Al-Juboori

Journal of Informatics and Web Engineering

From a psychological perspective, human behaviour reflects underlying thoughts and decision-making patterns, for example, consumer behaviour may correlate with the purchase decisions. In the fast-evolving e-commerce industry, predicting user behaviour is essential for enhancing marketing strategies, improving customer experiences, and increasing sales. However, traditional heuristic (e.g. market basket analysis) approaches to analyse buyer behaviour are often rigid and fail to adapt to complex consumer interactions. This research work develops a predictive model that analyses user behaviour based on data such as historical purchasing patterns and demographic attributes. Based on a review of previous studies, Logistic Regression (LR) is utilized as …

Identifying The Barriers To Digital Financial Inclusion In The Most Financially Excluded Country Using Machine Learning Algorithm, Yin Ting Chin, Hui Shan Lee

Journal of Informatics and Web Engineering

Despite the call of digital financial services (DFS) to improve inclusive growth and reduce poverty, the adoption of DFS remains low in Nigeria. The objective of this study is to examine the barriers of ability, access and usage of DFS in Nigeria. This study uses secondary data Global Findex year 2017 and year 2021 to predict the socioeconomic factors on the target variables of DFS (ability, access and usage). Using a machine learning (ML) algorithm, namely the J48 decision tree in the Waikato Environment for Knowledge Analysis (WEKA) software, this study analyses the predictive strength of variables such as gender, …

Robust Lane Detection Under Varying Lighting Conditions Using Adaptive Vision-Based Techniques, Habibatelrahman Mosaad Abdelfattah Mohamed Abdelaal, Tee Connie, Michael Kah Ong Goh

Journal of Informatics and Web Engineering

Reliable lane detection is crucial to autonomous driving but continues to be challenging with varying lighting conditions. Fluctuations in illuminations due to bright sunlight, shadows or low lighting at night can degrade the visual quality and adversely affect the accuracy of the lane detection results. This research proposes an adaptive approach for lane detection under different lighting scenarios. For daytime, a Region of Interest (ROI) masking and line averaging technique help in the stability and visibility of the lane markings. For nighttime conditions, a Probabilistic Hough Transform-based method improves lane detection in low-light environments. An evaluation tool has been developed …

Editorial: Ai-Enhanced Computing And Digital Transformation, Hairulnizam Mahdin

Journal of Informatics and Web Engineering

Artificial intelligence (AI), machine learning (ML), and advanced computing techniques are now central to the digital transformation journey, reshaping industries, academia, and society. This special issue of the Journal of Informatics and Web Engineering on AI-Enhanced Computing and Digital Transformation brings together contributions that reflect both technical innovation and societal applications. The featured articles span optimization methods, software quality improvements, data augmentation techniques, intelligent mobile applications, blockchain-based governance systems, and disaster management platforms. Together, they illustrate how computational advances not only strengthen efficiency and accuracy but also enable resilience in the face of global challenges. From a technical standpoint, metaheuristic …

Real-Time Read And Analysis Of Air Pollution Produced From Private Electrical Generators In Mosul City Using Lorawan, Mahmood Alfathe, Awfa Aladwani, Ali Abduljabbar

Journal of Informatics and Web Engineering

This study presents a novel, site-specific deployment of a Long Range Wide Area Network (LoRaWAN)-driven air pollution monitoring network specifically for the Iraqi city of Mosul, which is beset by widespread power outages and extensive utilization of decentralized diesel generators. While these generators mitigate electricity shortages, they are enormous contributors to urban air pollution, emitting high levels of CO2 and particulates. As opposed to previous studies, which concentrate on affluent urban areas, this research addresses a very deprived locale using an extensible low-power, low-cost LoRaWAN network and high-precision CO2 sensors (Sensirion SCD30 and MH-Z19) and The Things Network (TTN) for …

A Scoping Review Of Artificial Intelligence Research Trends In Mobile Applications, Asmau Usman, Ibrahim Anka Salihu, Abdulrahman Aminu Ghali, Bilkisu Larai Muhammad Bello, Aminu Aminu Mu'azu, Amina Sambo Magaji

Journal of Informatics and Web Engineering

Over the past decade, mobile devices have become an integral part of our daily routines, offering a broad spectrum of applications that enhance everyday tasks. As more people adopt smartphones, developers are increasingly focusing on improving app quality, particularly by incorporating artificial intelligence (AI) features. This growing trend has led to a surge of interest from both researchers and industry experts, who are aiming to explore AI integration in sectors such as healthcare, education, agriculture, and e-commerce. This study conducts a thorough review of AI applications on mobile platforms by analysing 98 scholarly articles published between 2014 and 2024 from …

Impact Of Data Quality Types On Computational Time In Data Source Selection Using Ant Colony Optimization, Nor Amalina Mohd Sabri, Abd Samad Hasan Basari, Nurul Akmar Emran

Journal of Informatics and Web Engineering

Data quality varies dramatically from source to source, even within the same domain. Given these challenges, data source selection has emerged as a crucial step in information integration. It demands efficient and scalable approaches that can handle massive data volumes while ensuring the quality of results. Adapting the ACO algorithm to solve the data sources selection problems may lead to inconsistent computational time if the data sources provided are vary in quality. These challenges bring the issues of time consuming in selecting the required data sources. However, how much the computational time needed in solving the data sources selection is …

Lightweight String Similarity Approaches For Duplicate Detection In Academic Titles, Fahrudin Mukti Wibowo, Muhammad Zidny Nafan, Muhamad Azrino Gustalika, Harinda Fernando, Muhammad Hussain, Nur Afiqah Sahadun

Journal of Informatics and Web Engineering

This study addresses the critical challenge of detecting duplicate final year project (FYP) titles in academic institutions, where minor variations like reordering, synonyms, and paraphrasing often obscure plagiarism. We systematically evaluate four string similarity algorithms - Jaro-Winkler, Levenshtein Edit Distance, TF-IDF with Cosine Similarity, and Jaccard Similarity - using a synthetic dataset of 250 title pairs representing common duplication patterns. Our experiments reveal that character-based methods (Jaro-Winkler and Edit Distance) achieve perfect detection (F1-score=1.0) for literal matches, including typographical variations and phrase reordering. At the same time, TF-IDF demonstrates strong semantic capability (F1-score=0.95), albeit with some false positives. Jaccard Similarity …

Improving Code Effectiveness Through Refactoring: A Case Study, Abdullah Almogahed, Manal Othman, Mazni Omar, Samera Obaid Barraood, Abdul Rehman Gilal

Journal of Informatics and Web Engineering

Software refactoring is a crucial practice in modern software development methodologies, such as Agile and DevOps, as it enables teams to iteratively improve and evolve their codebases while minimizing the risk of introducing bugs or regressions. It fosters a culture of continuous improvement and code hygiene, ultimately leading to more robust, maintainable, and scalable software systems. However, research examining the impact of refactoring on code effectiveness is scarce. This study, therefore, seeks to investigate the impact of refactoring methods on the code’s effectiveness. The study was carried out in four distinct phases: refactoring methods selection, case study selection, software metric …

Societies’ Funds Management System Using Blockchain, Jun Xiang Lau, Nur Ziadah Harun, Suziyanti Marjudi, Abd Samad Hasan Basari, Nur Amlya Abd Majid, Roziyani Setik

Journal of Informatics and Web Engineering

Lack of transparency of the funds and lack of immutability of the funds’ records are large problems today, especially in the societies’ funds. Leveraging the Ethereum Blockchain, the system ensures complete transparency and security in recording and accessing financial transactions for any society. Advanced encryption and blockchain consensus protocols guarantee data privacy and resilience against fraud or tampering. The information entered in the system helps the treasurer to effectively manage funds and accurately and transparently pass appropriate financial transactions. This project meets the challenges of transparency and immutability in society’s fund records, providing an assurance system and promoting growth for …

Implementation Of Conjugate Gradient Method For Estimating Inflation Rate In Malaysia, Shin Yi Wong, Nur Syarafina Mohamed, Norhaslinda Zullpakkal

Journal of Informatics and Web Engineering

Optimization methods are valuable for making decisions and identifying the most suitable alternative based on a given objective function. One of the mathematical optimization methods is Conjugate Gradient (CG) method which is commonly used to solve large-scale unconstrained optimization systems with less storage space. Recently, various optimization methods have been studied and used in economics estimating. However, just a few studies have predicted inflation rate using modified CG method. Random initial points are tested on New Three-Terms (NTT) which are modified Rivaie-Mustafa-Ismail-Leong (RMIL+) and Umar Mustapha Waziri (UMW) CG method with ten optimization test functions suggested by Andrei using MATLAB. …

Conjugate Gradient Methods In Fitting Precipitation Of Rainfall Data In Malaysia, Hua Ru Tang, Nur Syarafina Mohamed, Nurul Hajar Mohd Yusoff, Norhaslinda Zullpakkal

Journal of Informatics and Web Engineering

Conjugate gradient method (CGM) is one of the most efficient numerical methods for solving unconstrained optimization problems. It is also known as an iterative method with simple formulation. The classical CGM has always been an interest to the current researchers in improving the formulation which are categorized into three-term (TTCGM), spectral (SCGM), hybrid and scaled CGM. Although there are many variations of the CGM available, choosing the most efficient and effective one for a particular problem can be a time-consuming process. In this study, spectral Hestenes-Stiefel (sHS) CGM with the greatest NOI and central processing time per unit (CPU time) …

Enhancing Imbalanced Data Augmentation: A Comparative Study Of Ganified-Smote And Latent Factor Integration, Rusma Anieza Ruslan, Nureize Arbaiy, Pei-Chun Lin

Journal of Informatics and Web Engineering

One such serious problem in machine learning (ML) is imbalanced datasets. Minority class samples are usually sparse but hold significant meaning. The model can become biased toward the majority class due to unbalanced class distribution. This results in fraudulently high accuracy without being able to detect minority cases. This bias is also most perilous in critical applications, where ignoring minority cases can be highly destructive. To overcome this problem, the Synthetic Minority Oversampling Technique (SMOTE) is one of the most widely used. SMOTE creates balanced class distribution by interpolating between existing minority samples. It creates samples that are too close …

Engaged Climate Change Pedagogy: Lessons From 15 Years Of Interdisciplinary Climate Change Education, J. Alejandro Artiga-Purcell, Costanza Rampini, Anne Marie Todd, Eugene C. Cordero

Faculty Research, Scholarly, and Creative Activity

This article explores lessons learned from 15 years of an interdisciplinary, team-taught course on global climate change at a minority-serving public university in the United States San Francisco Bay Area integrating climate science with policymaking, public communication strategies, and principles of climate justice. First taught in 2007, 16 faculty from 5 different departments collaborated across disciplines to produce innovative teaching practices and curriculum design that evolved through each iteration of the course. Theme analysis of two roundtable discussions with course instructors identified three themes: changing course context, integrative learning, and community engagement. The essay concludes with lessons learned from this …

Current Insights On Predicting Vestibular Diseases Using Machine Learning, Emre Söylemez, Muhammed Mustafa Şeker

Turkish Journal of Medical Sciences

The vestibular system is one of the three main systems responsible for maintaining balance and posture. Accurate vestibular inputs enable the perception of the head’s position and movement in space, and ensure coordination between head movements, eye movements, balance, and posture. Any dysfunction in the peripheral vestibular end organs, the vestibular nerve, or the central vestibular system may lead to vertigo, dizziness, and gait disturbances in individuals. Some syndromes that cause vertigo symptoms can be life threatening. Although peripheral vestibular pathologies are generally benign, they can reduce patients’ quality of life, cause falls, and hinder independence. Therefore, the diagnosis and …

A Comparative Study Of Diagnostic Performance In Shoulder Pain: Clinical Tests Versus Ultrasonography And Magnetic Resonance Imaging, Yasemi̇n Tombak, Özgür Zeli̇ha Karaahmet, Ayşegül Tombak, Ömer Ata, Eda Gürçay

Turkish Journal of Medical Sciences

Background/aim: Shoulder pain is common and often evaluated with physical examination tests, yet their diagnostic accuracy remains controversial. The aim of this cross-sectional study was to determine the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) rates of clinical test results in patients with shoulder pain, based on ultrasonography (US) and magnetic resonance imaging (MRI) findings as reference diagnostic methods.

Materials and methods: The study included 78 patients who had complaints of shoulder pain. All patients underwent physical examinations and specific clinical tests (such as Neer and Jobe tests) to reveal shoulder pathologies, and US and MRI …

Association Between Nutritional Targets And Muscle Index Changes In Patients With Terminal Cancer Under Palliative Care ​, İrem Kiraç Utku, Burcu Çalişkan Aydoğmuş, Hati̇ce Nur Avcioğlu, Müge Çatikkaş, Ayfer Durak, Deni̇z Sevi̇ndi̇k Günay, Umut Safer

Turkish Journal of Medical Sciences

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Background/aim: Malnutrition and muscle wasting are common in terminal cancer patients and adversely affect prognosis. Bedside muscle ultrasonography (US) has emerged as a practical tool to assess nutritional status and monitor therapy. This study evaluated the relationship between achieving individualized nutritional targets and changes in muscle indices measured by US in terminal cancer patients receiving palliative care.

Materials and methods: Subcutaneous fat tissue thickness (SFTT), muscle thickness (MT), and cross-sectional area (CSA) of the rectus femoris (RF) and biceps brachii (BB) muscles were assessed by US over 10 days and normalized to height squared (m²). A total of 95 …

The Importance Of Galectin-3 In The Diagnosis Of Childhood Acute Appendicitis ​, Onur Yalçin, Aybegüm Kalyoncu Ayçenk, Ali̇ Aygün, Ahmet Burak Günpinar, Mehmet Seyfetti̇n Saribaş, Volkan Altinok, Tevfi̇k Noyan

Turkish Journal of Medical Sciences

Background/aim: Acute appendicitis (AA) is a frequent indication for emergency surgery in children; accurate diagnosis is essential to prevent complications. We examined whether serum Galectin-3 is associated with pediatric AA and quantified its diagnostic performance relative to routine inflammatory markers.

Materials and methods: This prospective, single-center study was conducted in a tertiary emergency department between July 1, 2023, and January 31, 2024. Children younger than 18 years with pathologically confirmed AA were enrolled as cases; age-compatible healthy volunteers served as controls. Venous blood was obtained at presentation before any therapeutic intervention. Galectin-3 concentrations were quantified using a commercial enzyme-linked immunosorbent …

Fear Of Covid-19 And Hygiene Behaviors: A Study Of Secondary School Students In İstanbul ​, Zozan Göksu, Hayri̇ye Kirkoyun Uysal, Mehmet Demi̇rci̇, Di̇lek Dülger, Seda Eki̇ci̇

Turkish Journal of Medical Sciences

Background/aim: This study investigates the relationship between fear of COVID-19, measured using the Fear of COVID-19 Scale (FCV-19S), and the hygiene behaviors of secondary school students, assessed with the Hygiene Behavior Scale (HBS).

Materials and methods: Included in this cross-sectional study were 206 secondary school students. The study data were analyzed using multivariate linear regression.

Results: No relationship was found between the fear of COVID-19 scale (FCV-19S) score of the student sample and the mean total HBS and subdimension values (p > 0.05). It was noted that positive hygiene behaviors decreased as the scale score increased. Students with retired mothers scored …

Letter To The Editor Regarding ‘‘Kara M, Alp G, Pekdiker M, Ketenci S, Porreca A Et Al. Evaluating Leflunomide Andmethotrexate Combination Vs. Monotherapy In Rheumatoid And Psoriatic Arthritis. Turkish Journal Of Medical Sciences: 2025; 55 (3): 632-643’’, Özge Tezen

Turkish Journal of Medical Sciences

No abstract provided.

Re: Comments On The Draft Final Butte Mine Waste Repository Geotechnical Investigation Work Plan (Dated September 23, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Comparative Responsiveness Of Preference-Based Health-Related Quality Of Life, Social Care, And Well-Being Measures In The Context Of Multiple Sclerosis, Elizabeth Goodwin, Amy Heather, Nia Morrish, Jenny Freeman, Kate Boddy, Sarah Thomas, Jeremy Chataway, Rod Middleton, Annie Hawton

School of Health Professions

Objectives: To provide evidence on the responsiveness of social care and well-being preference-based measures (PBMs) compared with health-related quality of life PBMs in the context of multiple sclerosis (MS). Methods: The ICEpop CAPability measure for Adults (ICECAP-A) and Adult Social Care Outcomes Toolkit (ASCOT) were completed online in September 2019, March 2020, September 2020, via the UK MS Register. Responses were linked to EQ-5D-3L and MS Impact Scale-8 Dimensions (MSIS-8D) values, and to MS Walking Scale-12, Hospital Anxiety and Depression Scale (HADS), and Fatigue Severity Scale scores. Responsiveness was assessed in relation to minimal important differences on MS Walking Scale-12, …

An Exploration Of The Career Choices Of Nursing And Midwifery Students In A Uk University: A Survey, Kevin Hambridge, Frazer Underwood, Gosia Bettache, Matt Carey, Mohamed Eid, Lisa Burrows, Christian Brailsford, Rachel Tims

School of Nursing and Midwifery

AbstractBackground:There is a worldwide shortage of nurses, so an increase in the supply of graduating nurses is needed. Little is known about nursing students' career choices and the reasons why certain jobs, specialties and locations are chosen. Gaining a better understanding of these choices could help healthcare employers to plan the nursing workforce of the future.Aims:The study explored the career choices of nursing and midwifery students.Methods:A convenience sample of 163 final-year nursing, midwifery and nursing associate students responded to an online survey exploring career choices.Findings:Most students (87.1%; n=142) had secured their first job, with the vast majority staying in the …

Re: Butte Priority Soil Operable Unit (Bpsou) Final Bres No.94 – Rialto Dump Reclamation Improvement (Ri) Field Sampling Plan (Fsp), Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Generative Modeling For Interpretable Anomaly Detection In Medical Imaging: Applications In Failure Detection And Data Curation, Mckell E Woodland, Mais Altaie, Caleb S O'Connor, Austin H Castelo, Olubunmi C Lebimoyo, Aashish C Gupta, Joshua P Yung, Paul E Kinahan, Clifton D Fuller, Eugene J Koay, Bruno C Odisio, Ankit B Patel, Kristy K Brock

Faculty, Staff and Students Publications

This work aims to leverage generative modeling-based anomaly detection to enhance interpretability in AI failure detection systems and to aid data curation for large repositories. For failure detection interpretability, this retrospective study utilized 3339 CT scans (525 patients), divided patient-wise into training, baseline test, and anomaly (having failure-causing attributes—e.g., needles, ascites) test datasets. For data curation, 112,120 ChestX-ray14 radiographs were used for training and 2036 radiographs from the Medical Imaging and Data Resource Center for testing, categorized as baseline or anomalous based on attribute alignment with ChestX-ray14. StyleGAN2 networks modeled the training distributions. Test images were reconstructed with backpropagation and …

Differential Patterns Of Gut And Oral Microbiomes In Hispanic Individuals With Cognitive Impairment, Yannick N. Wadop, Erin L. Vasquez, Julia J. Mathews, Jazmyn A. S. Muhammad, Rosa P. Mavarez, Claudia Satizabal, Mitzi M. Gonzales, Jeremy A. Tanner, Gladys E. Maestre, Bernard Fongang

School of Medicine Publications

Alterations in both oral and gut microbiomes have been associated with Alzheimer's disease and related dementia (ADRD). While extensive research has focused on the role of gut dysbiosis in ADRD, the contribution of the oral microbiome remains relatively understudied. This study aims to evaluate distinct patterns and potential synergistic effects of oral and gut microbiomes in a cohort of predominantly Hispanic individuals with cognitive impairment (CI) and without cognitive impairment (NC). We conducted 16S rRNA gene sequencing on stool and saliva samples from 32 participants (17 CI, 15 NC; 62.5% female, mean age = 70.4 ± 6.2 years) recruited in …

Gardens And Galaxies: Through Child-Like Eyes, Jason N.E. Ho

Faculty Work Comprehensive List

"... just like food tells a deeper story about who we are as human beings, the universe tells a deeper story about a God that created it."

Posting about ­­­­­­­­looking at the world with wonder from In All Things, an online hub that offers insight into maintaining and faithful and orthodox Reformed Christian worldview while fearlessly engaging in every aspect of contemporary life – until all is made new.

Gardens and Galaxies

Needs Analysis Of Interactive Learning Media For Teachingheat Transfer In Physics: Students’ And Teachers’Perspectives, Rizki Eka Shintya, Ika Mustika Sari, Ida Kaniawati

Jurnal Pendidikan Sains

Heat transfer material in physics is known to be abstract. This study specifically analyzes the conceptual difficulties, and visualization needs specific to this material, which is different from the analysis of physics needs in general. This analysis does not only look for the need for traditional media but explicitly looks for the need for interactive media (simulation, animation, virtual laboratory). Therefore, this study aims to identify the need for interactive learning media in physics education, specifically in the teaching of heat transfer, from the perspective of students and teachers in West Java, Indonesia. Using a quantitative descriptive survey, data were …

Efficacy Of Teaching At The Right Level Approach Combined With The Problem-Based Learning Model On Science Learning Outcomes At Middle School, Heri Syahputra Azhar Panjaitan, Ryan Dwi Puspita

Jurnal Pendidikan Sains

This research seeks to evaluate the efficacy of the Teaching at the Right Level (TaRL) strategy in conjunction with the Problem-Based Learning (PBL) model on the scientific learning outcomes of eighth-grade students at middle school Islam Terpadu Khairul Imam. This research addresses the inadequate scientific problem-solving abilities and science learning outcomes of Indonesian students, necessitating a more interactive and individualized instructional technique. The methodology used is a quasi-experimental design with a nonequivalent control group. The sample included two purposively chosen eighth-grade classes: one experimental class (n=25) underwent the TaRL–PBL intervention, whereas the control class (n=25) simply used the lecture approach. …

Durability Assessment Of Low-Carbon Concretes Using Electrical Resistivity, Chloride Migration And Diffusion Modelling, Salim Malami, Dimitry Val, Benny Suryanto

International Conference on Durability of Concrete Structures

Durability design for reinforced concrete increasingly relies on performance-based indicators of transport processes that govern corrosion initiation. This study evaluates concretes with supplementary cementitious materials (SCMs) (fly ash (FA), ground-granulated blast-furnace slag (GGBS), limestone powder (LP), and limestone calcined clay cement (LC3)) using electrical resistivity and rapid chloride migration (RCM, NT Build 492) testing. Twelve mixes (w/b = 0.40 and 0.55), including binary and ternary binders benchmarked against Portland cement (PC), were tested. Resistivity was measured on cubes with embedded stainless-steel electrodes, whereas chloride diffusion coefficients were measured directly using the RCM method and compared with the values calculated from …