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 …

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 …

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 …

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 …

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.

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 …

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, …

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 Concrete Using Electrical Resistivity And Derived Transport Parameters, Elo Merit Imitini, Benny Suryanto, Bhaskar Sen Gupta

International Conference on Durability of Concrete Structures

Effective assessment of reinforced concrete durability necessitates monitoring of concrete performance using straightforward yet robust technique over an extended period of time. This study investigates six low-carbon concrete mixes incorporating up to 70% Portland cement replacement using binary and ternary combinations of ground granulated blast furnace slag (GGBS), fly ash (FA), and limestone powder (LP). Electrical resistivity measurements were undertaken over a 360-day period and used to derive formation factors and instantaneous diffusion coefficients, offering insight into the evolving pore structure and ionic transport. The results showed that all mixes exhibited a progressive increase in resistivity, indicative of continued hydration …

Assessment Of Ggbs-Blended-Concrete Durability With Modified Water Permeability Method, Soumyaranjan Panda, Supratic Gupta, Saubhagya Kumar Panigrahi

International Conference on Durability of Concrete Structures

The construction industry is increasingly embracing sustainable materials to mitigate environmental concerns and reduce the carbon footprint of conventional practices. Concrete, a vital material in modern infrastructure, is valued for its versatility and durability. However, Ordinary Portland Cement (OPC), the primary binder in conventional concrete, presents significant environmental challenges, including high carbon dioxide emissions and substantial energy consumption. With an annual growth rate of 2.5%, cement production exacerbates these issues, necessitating sustainable alternatives. Ground granulated blast-furnace slag (GGBS), a byproduct of the iron industry, is a promising supplementary material. Its use reduces cement consumption, enhances sustainability, and promotes eco-friendly construction …

Relationship Between Water Contents And Electrical Conductivity In Concrete, Ki-Tae Park, Jaehwan Kim, Dong-Woo Seo, Sangki Park

International Conference on Durability of Concrete Structures

This study investigates the relationship between moisture absorption and electrical conductivity in concrete, aiming to evaluate the feasibility of using electrical impedance as a non-destructive indicator of moisture transport behaviour. Concrete specimens with varying water-to-cement (w/c) ratios were prepared and conditioned for 150 days under controlled air-drying conditions. Moisture absorption tests were conducted in accordance with ASTM C1585-20, and both weight change and impedance were measured over time. Impedance data were collected across a wide frequency range (10 Hz to 1 MHz) using a two-point measurement configuration, and direct current (DC) electrical conductivity was derived through nonlinear regression analysis based …

Life Cycle Assessment Of Semi-Submerged Offshore Wind Turbines’ Foundation Materials: Concrete Versus Steel, Isabel C L Castellanos, Andrew Whyte, Stephen M. Urquhart

International Conference on Durability of Concrete Structures

The offshore wind-generation energy sector in Australia has been growing steadily in lieu of non-renewable energy sources, towards addressing national calls for greenhouse gas emission reductions. However, the industry in Australia is still somewhat fledgling, hence localised studies on environmental impact are scarce. In this context, the work here analyses greenhouse gas emissions by comparing like-for-like steel versus concrete materials as the main components in the foundation element of an offshore wind turbine throughout its lifecycle, using an adapted Life Cycle Assessment (LCA) method. This paper details a cradle-to-cradle LCA of the two alternative specifications for semi-submerged foundations supporting a …

Use Fibre Optic Sensor Systems For Structural Integrity Monitoring In Ageing Sewer Concrete Structures And Pipelines, Matthas Fabian, Joanna Coote, Richard Harry Scott, Heriberto Bustamante, Tong Sun, Kenneth Thomas Victor Grattan

International Conference on Durability of Concrete Structures

Fibre Bragg Gratings (FBGs) form the basis of a valuable class of sensors that have a number of applications in industry and are formed as a periodic variation in the refractive index of an optical fibre that reflects light at a specific wavelength depending on the strain applied to the fibre – this effect can be related to and then calibrated against the parameter to be measured. A number of different types of sensors have been developed for monitoring sewer structures, detecting strain and potential leaks in sewer pipelines by embedding fibres along the pipeline route and for monitoring the …

Toward Durable 3d Printed Structures, David A. Lange, Chenyue Shen

International Conference on Durability of Concrete Structures

Durability of 3-D printable concrete begins with control of flow and consolidation of the fresh material. 3D printed concrete needs to be fluid-like for pumping and extrusion but solid-like during placement to support the printed structure. High quality 3D printed materials must have excellent consolidation and a low volume of trapped voids. In practice, achieving this balance is challenging. This research addresses these challenges by leveraging machine learning and numerical simulation to model the fresh behavior of cement-based materials for 3-D printing. It begins with rheological characterisation to understand how mixture design factors influence rheological properties, laying the foundation for …

Chloride Transport In Low Clinker Content Concretes And Modeling, Pu Yang, Narayanan Neithalath, Manu Santhanam, Yuvaraj Dhandapani

International Conference on Durability of Concrete Structures

Chloride ion transport behaviour has been reported to be significantly influenced by the use of supplementary cementing materials in concrete, both due to physical effects such as pore structure refinement and chemical effects including chloride binding. This paper provides experimental results on diffusion of chloride ions through concretes containing limestone calcined clay as a cement replacement material at ~50% replacement level, demonstrating the beneficial effects of high-volume replacement of cement with calcined clay. A numerical simulation framework that considers the pore structure of concrete, the concentration-dependence of diffusion coefficient, and Freundlich binding is also presented. The diffusion model is augmented …

Challenges And Opportunities In Concrete Precast Sector And Its Transition To A Net-Zero Future, Sreejith Nanukuttan, Rory Doherty, Daniel Mcpolin, Marios Soutsos, Mark Russell

International Conference on Durability of Concrete Structures

This article explores key factors shaping the transition of the precast concrete sector toward net-zero carbon. While not exhaustive, it highlights areas of scientific and technical interest for a specialist audience. The discussion is structured around priority themes: beginning with cement and clinker replacement, followed by production efficiency improvements, rethinking steel usage, carbon sequestration strategies, and, finally, structural optimisation or volume reduction. These areas are often interdependent: for instance, clinker replacement, production efficiency, and structural optimisation are all influenced by the 16 – 18 hour production cycle typical of precast manufacturing. Unlike the readymix sector, precast operates on a fast-paced, …

Enhancing Concrete Circularity In Construction: The Recyclebim Framework In Closing Material Loops, Miguel Azenha, Artur Kuzminykh, José Granja, Manuel Parente, M. Albadri, P. González-Cabaleiro, R. Túñez-Alcalde, Lucía Díaz-Vilariño, C. Cao, N. Ukrainczyk, E. Koenders, A. J. Babafemi, M. Colyn, W. De Villiers, A. Ditlhokwa, H. Els, K. Timm, G. Van Zijl, E. Ameh, J. Immelman, V. Ndjate, L. Petrik, E. Ciampi, G. Nisivoccia, M. G. Orecchio, E. Sandonis, V. Garcia, D. Garcia, A. Delaplace

International Conference on Durability of Concrete Structures

Despite significant progress in digitalisation across various sectors, the development of data-driven applications in the built environment remains ongoing, with a focus on improving labour productivity and addressing global sustainability challenges. The circular economy framework for reusing and recycling construction materials is still underexplored. Metrics on the amount and impact of construction and demolition waste (CDW) highlight the need for more effective circularity strategies. Although the circular economy seeks to minimise waste, maximise material reuse, and reduce environmental impacts, practical implementation within the construction sector requires further development—an area where digital technologies can offer substantial support. This study introduces the …

Decalcification Of Calcium Silicate Hydrate By Sulfate Attack: Material Degradation By Heterogeneous Charges, Muhan Wang, Xiangming Zhou, Chengbo Liu, Pan Wang, Dongshuai Hou

International Conference on Durability of Concrete Structures

Sulfate attack is a key factor limiting the durability of concrete in aggressive environments, primarily through the degradation of calcium silicate hydrate (C–S–H), the main binding phase of cement. This study investigates the molecular mechanisms of C–S–H decalcification under sulfate exposure by combining semi-empirical Born–Oppenheimer molecular dynamics (BOMD) with density functional theory (DFT). A C–S–H model with a Ca/Si ratio of 1.5 was simulated in aqueous environments with and without sulfate ions. BOMD trajectories revealed that while C–S–H remained largely stable in pure water, sulfate ions rapidly promoted Ca²⁺ desorption, leading to silicate chain fragmentation and Q²→Q¹ transitions. Electronic structure …

Fractal Characterisation Of Crack Tortuosity And Its Correlation With Permeability In Concrete, Yuan Shen, Tamon Ueda

International Conference on Durability of Concrete Structures

This study investigated fracture behaviour in four concrete grades (C40-C70) through controlled splitting tests. Using high-resolution 3D profilometry, we quantitatively characterised crack surface morphology and proposed a novel fractal dimension metric for tortuosity D_T. Post-repair permeability tests on 12 specimens (24 fracture surfaces) revealed: (1) conventional tortuosity showed weak permeability correlation (R²<0.350), while (2) D_T demonstrated superior predictive capability (R²=0.430). The developed fractal tortuosity index provides a robust multiscale quantification method for crack flow mechanism analysis.

Utilisation Of Semi-Naturally Carbonated Steelmaking Slag As Concrete Aggregate, Sumire Nakamura, Yuichiro Kawabata

International Conference on Durability of Concrete Structures

Steelmaking slag has emerged as a promising material for low-carbon concrete, owing to its ability to sequester CO₂ through carbonation. However, CO2 sequestration by steelmaking slag and its utilisation is still far from practical application due to the high energy consumption and cost of the accelerated carbonation process. Anticipating that optimising the pre-natural carbonation during storage would reduce the energy and cost for accelerated carbonation, this study focused on the natural carbonation potential of steelmaking slag. In addition, the applicability of naturally carbonated steelmaking slag as aggregate for concrete was investigated. The long-term exposure experiment simulating outdoor storage demonstrated that …

Deploying 3d Concrete Printing For Large-Scale Building Construction In Saudi Arabia: A Case Study, Zakiah Yousif Altehaini, Mohammed Ahmad Dayili, Meshari Ali Alrajab, Adel Nasser Alharbi, Ali Khudhran Alutaibi, Eyad Hamzah Garatly

International Conference on Durability of Concrete Structures

This paper details the successful large-scale implementation of 3D concrete printing (3DCP) for the construction of large building in remote area of Saudi Arabia. As one of the first religious buildings in the region constructed using additive manufacturing, this project showcases 3DCP's technological and environmental potential for contemporary building. In order to ensure sustainability and cost effectiveness, the mosque was constructed using a COBOD BOD2 gantry printer and a customised concrete mix made up of 99% locally sourced materials and 1% CEMEX D-fab admixture. To maximise thermal insulation and accommodate mechanical, electrical, and plumbing (MEP) systems, the structure included a …

Surface Morphology, Bond Strength And Failure Behaviour Of Steel Vs Basalt Rebars In Alkali Activated Concrete, Ansu Mary Alex, Sreejith Nanukuttan, Adeline Mccartney, Marios Soutsos, Daniel Mcpolin

International Conference on Durability of Concrete Structures

This microscopic characteristics of basalt bars after exposure to alkaline solutions and pullout performance of steel and basalt rebars embedded in conventional and alkali-activated concrete were studied. The overarching goal is to assess the potential of basalt rebars as an alternative to conventional steel reinforcement in alkali activated concrete elements. To understand their durability in alkaline environments, especially within alkali-activated concrete (AAC), steel and basalt rebars were subjected to an accelerated exposure test in high-pH simulated concrete pore solutions, for 24hrs. This aimed to replicate the aggressive internal environment typically found in AAC and mixes with supplementary cementitious materials. Post-exposure …

J Am Coll Dent 2018 85 1

Journal of the American College of Dentists

The Journal of the American College of Dentists (JACD) publishes scholarly articles, editorials, essays, and reflections addressing the ethical, professional, and social dimensions of dentistry. The Journal serves as a forum for advancing ethics, professionalism, leadership, and excellence within the dental community. By fostering dialogue across disciplines and perspectives, JACD provides readers with insights that encourage ethical, professional practice, lifelong learning, and service to the public, reinforcing dentistry’s commitment to advancing oral healthcare and the common good.

Utilitarianism, Dune, And The Moral Problem Of Genetic Engineering, Mathias W. Alling

Quest

Moral Philosophy Essay

Research in progress for PHIL 2306: Introduction to Ethics (Honors)

Faculty Mentor: John Macready, PhD

This article began as a research essay during the Fall 2024 semester for my honors- level course, Introduction to Ethics (PHIL 2306). In this course, students are asked to research a moral issue and offer an argument for whether the issue is morally required, morally permitted, morally permissible, or morally impermissible. Mathias Alling’s philosophically ambitious article “Utilitarianism, Dune, and the Moral Problem of Genetic Engineering” examines the moral permissibility of genetic engineering through the fictional universe of Frank Herbert’s novel Dune …

“I Did Not Come Back The Same”: Implications Of A Study Abroad Basic Communication Course, Kristen L. Farris, Andrea Avila, Lauren Green, Michael Burns, Marian L. Houser

Basic Communication Course Annual

The goal of this case study was to explore students’ experiences in a study abroad program of the basic communication course. Thirty-six students enrolled in a study abroad program in the summer of 2023 participated in focus groups tasked to understand more about students’ challenges and learning outcomes. Results from our study suggest students’ significant takeaways from the study abroad experience were their personal growth through improved communication skills and cultural appreciation via expanded worldviews. The findings also suggest these students experienced challenges including language barriers and nonverbal behavioral differences as well as initial negative expectations of intercultural interactions. However, …

From Public Speaking To Multimodal Communication: A Reevaluation Of The Basic Communication Course, Stephanie Medden, Brian Myers, Kristin Roberts-Raymond, Maik Stanitzke

Basic Communication Course Annual

This article contributes to ongoing discussions regarding the evolution of the basic communication course. The authors detail the multi-year process of redesigning their institution's basic communication course, now centered on multimodal communication, and share insights from its implementation. Emphasizing the need to respond to increased cultural and linguistic diversity, a high prevalence of speaking anxiety, and the need to development multimodal communication competencies, the course redesign underscores the necessity for communication educators to adapt proactively to changing cultural, educational, and professional landscapes. Drawing from data collected through faculty and student surveys and focus groups, the authors highlight how incorporating linguistic …

Reality Of Using Augmented Reality Technology From The Perspective Of Arabic Language Teachers In Middle Schools In Aljouf Province, Hussain Bin Eidhah Alsaiari

University of Bisha Journal for Educational Sciences

This study aimed to identify the Reality of using Augmented Reality technology from the perspective of Arabic Language teachers in middle schools in Aljouf Province in Saudi Arabia and to uncover the obstacles that prevent them from using this technology, as well as to determine the impact of gender, qualification, and teaching experience on using Augmented Reality technology. The researcher used a descriptive analytical method, and the study tool was a questionnaire consisting of 30 items. The research was applied to a sample of 95 teachers, including 69 female teachers in the middle schools in the Aljouf Province. The study …