Digital Commons Network^™

Analysis Of The Influence Of Anthropometric Dimensions Of Postural Ergonomics Using Multiple Linear Regression, Gashbeen Faisal Najmaddin, Edrees Muhammed Tahir Harki

Al-Bahir

Ergonomics is the study of designing and arranging a workspace or product to optimize the “fit” between people and their work, ensuring safety, comfort, and efficiency. The scientific literature indicates that ergonomic perspectives on the workplace are connected to the anthropometrics of societies. This study primarily aims to create a model that integrates multiple predictive variables to estimate the target variable. Multiple linear regression analysis is used to identify how different anthropometric dimensions predict postural ergonomics during prolonged sitting. Based on the regression models’ results, the predicted can be calculated using user anthropometry and existing chair dimensions. Furthermore, the primary …

Predicting Student Performance In Introduction To Information Technology Using Regression-Based Learning Analytics And Instructional Intervention Data, Masyitah Abu, Nur Azlina Mohamed Mokmin, Ummu Salmah Mohamad Hussin, Hafirda Akma Musaddad

Al-Bahir

This study examines student performance across three instructional intervention strategies in an Introduction to Information Technology subject at a Malaysian private university in Perak. The dataset was obtained from the university system and involved a seven-week short-semester teaching period. A total of 308 diploma students were included and divided into three existing class groups: traditional lecture-based learning (n = 103), multimedia-assisted learning (n = 100), and blended learning (n = 105). Each group was exposed to a different instructional approach delivered by a different lecturer. Student performance was assessed through quizzes, assignments, midterm examination, and final examination. The study analyzed …

Can Artificial Seagrass Meadows Reduce Pathogenic Bacteria In Coral Reef Ecosystems- A Mesocosm Study, Hewa Pathirannahelage Athri Thathsarani Weerakoon, Jimmy Kuo, Pi-Jen Liu, Kwee Siong Tew

Journal of Marine Science and Technology–Taiwan

Seagrass meadows provide essential coastal ecosystem functions by stabilizing sediments, enhancing water quality, and shaping nutrient and microbial dynamics. With global seagrass losses accelerating due to climate change and anthropogenic pressures, artificial seagrass (ASG) has been proposed as a nature-based alternative to mimic these functions. However, its ability to replicate biological interactions, particularly microbial regulation and pathogen suppression, remains unclear. In this study, we conducted a six-week mesocosm experiment comparing natural Thalassia hemprichii and ASG within coral reef-associated habitats in southern Taiwan. Physicochemical parameters, sedimentation rates, nutrient concentrations, and planktonic and benthic bacterial communities were analyzed. Sedimentation rates and nutrient …

How To Promote Community Engaged Research (In Less Than 7 Minutes…), Karen T. D'Alonzo, Shailja Mathur, Maya E. Joseph, Anju Wadhawan

International Nursing Research Congress (INRC)

The phrase “community-engaged research” (CER) has become popularized over the past decade to describe attempts to promote community involvement in the research process.¹ Historically, the term CER referred to scientific researchers and community members who work together to develop community academic partnerships (CAPs), improve research, and create better outcomes in communities, particularly for marginalized populations.² The aim of CER is for the people most directly impacted by the research topic to become active participants in the research process.³ Many forms of CER are guided by the formation of CAPs.⁴ But this process can be daunting, due …

Effects Of The “Chai For 2” Pilot Intervention Among Asian Indian Immigrants, Maya Joseph, Anju Wadhawan, Shailja Mathur, Haiqun Lin, Karen T. D'Alonzo

International Nursing Research Congress (INRC)

Asian Indian (AI) immigrants, the second largest immigrant group in the US, have a high prevalence of abdominal obesity and premature cardiovascular disease (CVD).^1,2,3 Despite ample epidemiological evidence of the need to reduce CVD risk in AIs, few published interventions have addressed this population, primarily focusing on dietary measures and promotion of physical activity, and none of these address immigrant AIs.^4,5

This study was built upon the results of our prior work to 1) Implement and pilot test a peer leader-facilitated 10-week dyadic intervention (Community Health among Asian Indian immigrants (CHAI) Dyad study) using a cluster randomization design, …

Leadership In Action: Building A Research Community Of Practice Through The Np-Clinician Scientist, Sarah Jayne Colgan, Breanna Lloy, Melanie Dunlop

International Nursing Research Congress (INRC)

Purpose Statement: To describe the formation of an Advanced Practice Nursing (APN) Research Community of Practice (CoP) led by an NP Clinician Scientist, aimed at fostering research capacity, partnerships, mentorship, scholarly engagement, and knowledge translation among NPs and Clinical Nurse Specialists (CNSs) in two provincial healthcare organizations.

Background: The Nova Scotia Health (NSH) NP Interprofessional Practice and Learning (IPP&L) team observed ongoing challenges with NP recruitment and retention highlighted by feelings of undervaluation among NPs in clinical practice. Concurrently, changes to NP entry-level competencies and increasing NP inquiries regarding research, demonstrated a growing appetite for scholarly engagement.

Methods: Through innovation …

Caring For Service Members, Veterans, And Military Families: A Matter Of Global Security, Alicia Gill Rossiter, Catherine Gaines Ling, Rita D'Aoust

International Nursing Research Congress (INRC)

While significant research has been conducted regarding the impact of military service on the veteran, there is a paucity of research on military families, and little is known about the impact of spousal/parental military service on the military family, leading to a knowledge and comfort level deficit when caring for servicemembers, veterans, and military family members. Lack of information and research focused on the military family unit has led to the care of the military family being siloed and not inclusive of the needs of the entire family unit. Disenfranchising the military spouse and the lack of services and support …

Book Review: The Weight Of Sand: My 450 Days Held Hostage In The Sahara, Michael Margolius

Parameters Bookshelf – Online Book Reviews

Author: Edith Blais

Reviewed by Commander Michael Margolius, US Navy, professor, US Army War College, and former J3 of the Joint Personnel Recovery Agency

In his review of The Weight of Sand: My 450 Days Held Hostage in the Sahara, Michael Margolius views the ordeal faced by author Edith Blais through the lens of a personnel recovery agent. Blais and her boyfriend were kidnapped and held for 15 months by Jama’at Nusrat al-Islam wal-Muslimin gunmen. Margolius points out the many small and practical things that helped Blais survive and how her story can help agencies learn from her experience to …

A New Kind Of Faith That Makes Jesus Stop!, Joseph Khabbaz

The Main Thing Devotional

Jesus stopped and said, “Call him.” So they called to the blind man, “Cheer up! On your feet! He’s calling you.” Mark 10:49

How Dance/Movement Therapy Can Cultivate Self-Compassion In Chinese Diaspora Adults: A Literature Review, Heng Hsiu Liu

Expressive Therapies Theses

Chinese diaspora adults navigate a psychological transition in mental health understanding, based on acculturation level; some are more somatically focused in their understanding, while others adopt Western mental health frameworks. While self-compassion can be a helpful transdiagnostic tool, Chinese diasporas still face barriers to current selfcompassion interventions such as the remaining stigma of "losing face" with their family and community, language barriers to emotional expression, and a cultural emphasis on self-criticism as a tool for moral improvement. Self-compassion cultivation is grounded in mindfulness, common humanity, and self-kindness, which collectively stimulate the soothing-affiliative affect regulation system. This review identifies Dance/Movement Therapy …

Cultivating A Culture Of Belonging: Elementary Principal Practices, Sara Macneil

Educational Studies Dissertations

A sense of belonging is a fundamental human need that influences students’ experiences, relationships, and engagement within their school context. It is shaped through intentional actions and everyday experiences. Understanding how school leaders intentionally shape conditions that foster students’ sense of belonging requires further exploration. This study focused on an elementary school principal and sought to identify specific leadership practices that strengthen the sense of belonging for elementary students. Using a mixed-methods approach, data were collected through a sense of belonging survey and small group interviews. The survey data provided a measure of students’ sense of belonging and were used …

Preview; Johnson V. Spire Home Inspection: A Debate On Judicial Resources Through Manufactured Finality, Madison Blank-Plautz

Montana Law Review Online

No abstract provided.

The Implementation Of Sel-Based Interactive E-Modules To Enhance Mental Health Literacy, Muhammad Arif Budiman Sucipto, Mulyani Mulyani

Jurnal Kajian Bimbingan dan Konseling

The mental health crisis among Generation Alpha students is concerning, marked by stagnating life purpose and digital academic pressure. This study aims to examine the effectiveness of an interactive SEL-based E-Module in enhancing students' mental health literacy, offering an innovative solution responsive to the digital era. Employing a Classroom Action Research design integrated with ADDIE. Thirty-two tenth-grade students with low initial literacy scores (mean pre-test = 42.3) participated through purposive sampling. The two-cycle intervention utilized a digital module featuring Private Mode (encrypted emotional journal) and Emergency Button (direct link to counselors). Data were collected through literacy scales, observations, interviews, and …

Evaluation Of Deep Learning Techniques For Intrusion Detection In Cybersecurity, Doaa El-Shahat, Mohamed Mahmoud Abdelaziz, Waseem Akram, Muhammad Jabir Khan

Sustainable Machine Intelligence Journal

The increasing prevalence of Internet of Things (IoT) technology is also leading to a rise in potential cybersecurity risks. Therefore, it has become crucial to develop effective solutions using deep learning to enable us to discover the various vulnerabilities that may arise from continuous technological advancements, and to defend against the different types of attacks that fraudsters might use to exploit system weaknesses, such as Distributed Denial of Service (DDoS) attacks, web attacks, and spoofing. Most model failures stem from their reliance solely on detecting spatial patterns and their failure to focus on detecting temporal patterns, resulting in poor performance …

Leakage-Safe Boosting Ensembles With Shap Explainability For Alzheimer's Disease Risk Prediction: A Rigorous Multi-Classifier Benchmark On Global Structured Clinical Data, Hadeer Mahmoud, Fady Salama

Sustainable Machine Intelligence Journal

Alzheimer's disease (AD) is a major public health challenge, and scalable non-invasive risk-stratification tools are needed. We benchmarked 11 machine-learning classifiers on a publicly available global structured Alzheimer's prediction dataset (N = 74,283; 24 predictors) using leakage-safe sklearn/imblearn pipelines. Four resampling strategies were assessed with stratified cross-validation; preprocessing included imputation, IQR-based outlier capping, feature engineering, one-hot encoding, and standardization. The leading models underwent HalvingRandomSearchCV optimization, followed by soft-voting and stacking ensembles. Performance was evaluated on a held-out 20% test set and interpreted with SHAP, permutation importance, and built-in feature importance. No resampling was selected in Stage A (composite score = …

Explainable Deep Learning For Forensic Wound Analysis: A Survey Of Injury Classification, Gunshot Wound Interpretation, And Toward Court-Admissible Ai, Zakaria Ahmed, Zeshan Aslam Khan

Sustainable Machine Intelligence Journal

Wound analyses conducted in forensics continue to be based on visual interpretation of pathologists and therefore exhibit variations among observers, especially when dealing with unusual injuries. Recent research using deep learning algorithms has proven that automated identification of wounds and interpreting gunshot wounds has achieved success with high levels of accuracy, ranging between 88% on large human datasets in distinguishing exit/entrance wounds and 94% to 98% in shooting distance and shotgun patterns. Nonetheless, most of these models still operate as black boxes. In this systematic review of deep learning methods in forensic wound assessment, there is emphasis placed on three …

Anti-Fuzzy Hypergraphs And Superhypergraphs: Max-Oriented Uncertainty Models For Higher-Order And Hierarchical Networks, Takaaki Fujita, Ajoy Kanti Das, Suman Das, Sankar Prasad Mondal

Sustainable Machine Intelligence Journal

Hypergraphs extend classical graphs by allowing hyperedges to connect more than two vertices, while superhypergraphs further generalize this framework through iterated powerset constructions that capture hierarchical and nested incidence structures. Within fuzzy graph theory, anti-fuzzy graphs provide max-oriented uncertainty models in which each edge grade is at least the maximum grade of its incident vertices. However, corresponding max-oriented frameworks for hypergraphs and superhypergraphs have not been systematically developed. To address this gap, we introduce anti-fuzzy hypergraphs and anti-fuzzy superhypergraphs, formulate their mathematical definitions, and establish basic well-definedness and canonical representation results. These models provide a unified foundation for max-based …

Haf-Bitrans: A Heterogeneity-Aware Federated Bilstm-Transformer Framework For Privacy-Preserving Detection Of Multi-Stage Apt Behaviors In Iot Networks, Tareef S Alkellezli, Nariman A. Khalil

Sustainable Machine Intelligence Journal

Advanced persistent threats (APTs) are difficult to detect in heterogeneous Internet of Things (IoT) environments because malicious behavior can unfold across reconnaissance, scanning, command-and-control, denial-of-service, and exfiltration stages. Centralized intrusion-detection pipelines also create privacy, communication, and latency concerns when traffic originates at distributed edge devices. This study presents HAF-BiTrans, a heterogeneity-aware federated BiLSTM-Transformer framework for privacy-preserving detection of multi-stage APT-like behavior. At each client, a bidirectional long short-term memory encoder captures temporal dependencies, a lightweight Transformer models broader contextual relationships, and a class-balanced focal objective addresses class imbalance. At the server, Heterogeneity-Aware Contribution-Trust Aggregation (HACTA) weights client updates using sample …

Dinamika Spasial Dengue Di Provinsi Sulawesi Selatan: Fragmentasi Spasial Tanpa Hotspot Persisten, Nurul Muthiah Salahuddin, Trisari Anggondowati, Syifa Nurhakiki

Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan

Demam berdarah dengue (DBD) masih menjadi masalah utama kesehatan masyarakat di Sulawesi Selatan, dengan pola penularan yang bervariasi secara spasial maupun temporal. Pada tahun 2024, provinsi ini mencatat insidens DBD sebesar 66,04 per 100.000 penduduk, di mana hanya 12,5% kabupaten/kota yang mencapai target nasional (≤10 per 100.000). Belum diketahui pola spasial yang membentuk klaster yang persisten atau berubah antar waktu, sehingga dilakukan penelitian ini untuk menganalisis pola spasiotemporal serta persistensi klaster spasial kejadian DBD di Sulawesi Selatan. Penelitian ini merupakan studi ekologi dengan pendekatan repeated cross-sectional menggunakan data surveilans DBD tingkat kabupaten/kota periode 2021–2024 yang mencakup 24 kabupaten/kota. Analisis meliputi …

Investigation Of Masseter Muscle Thickness In Individuals With And Without Bruxism: An Ultrasonographic Study, Thalib R. Attamimi, Acing H. Mude, Eri H. Jubhari, Ike D. Habar, Yukinori Maruo, Muthia M. Bachtiar, Ian A. Sudarman

Journal of Dentomaxillofacial Science

Objective: This study aimed to evaluate the relationship between bruxism and masseter muscle thickness, as measured by ultrasonography, in university students.
Materials and Methods: This analytical observational case-control study included 48 students (mean age, 21.19 ± 0.61 years). Participants were classified into two groups based on a validated questionnaire and clinical examination: 24 with bruxism and 24 without bruxism. Bruxism was assessed using the Winocour questionnaire, while masseter muscle thickness was measured by ultrasonography under both relaxation and contraction conditions. Differences between the groups were analyzed using an independent t-test.
Results: Individuals with bruxism exhibited significantly greater masseter muscle thickness …

Prevalence Of Pathology Associated With Impacted Mandibular Third Molars In A Northern Nigerian Sub-Population: A Cross-Sectional Study, Bernard E. Ogbozor, Abdulmanan Yahaya, Sabir Iya, George O. Ewansiha, Mohammad K. Abubakar, Ismail Anas, Irfan Sugianto, Babatunde O. Bamgbose

Journal of Dentomaxillofacial Science

Objectives: To determine the prevalence and pattern of impacted mandibular third molars and their associated pathology among adult patients attending a tertiary hospital in North-western Nigeria.
Materials and Methods: This cross-sectional study was conducted over a two-year period and analyzed digital panoramic radiographs of 576 adult patients (297 males, 279 females) aged 18–65 years with IMTM. Impaction angulations were classified, using Winter's classification system, into mesioangular, distoangular, horizontal, and vertical impactions. Associated pathology, including caries, root resorption, periodontitis, bone resorption, apical pathosis, and cysts, were evaluated. Statistical analysis was performed using SPSS version 25.0. Pearson's Chi-square (χ²) statistical …

Evaluation Of Gingival Crevicular Fluid Macrophage Migration Inhibitory Factor In Various Periodontal Conditions With Their Diagnostic Ability, Suzan A. Salman, Lubaba A. Abdulameer, Nadia M. Kadhim, Zainab J. Raheem, Hadeel M. Akram, Raghad F. Abbass

Journal of Dentomaxillofacial Science

Objectives: To profile the concentration of macrophage migration inhibitory factor (MIF) in gingival crevicular fluid (GCF) in periodontal health, biofilm-induced gingivitis, and periodontitis, and to evaluate its ability to discriminate between these periodontal conditions.
Materials and Methods: This was a case-control study in which GCF samples were collected from three groups: gingivitis, periodontitis, and periodontal health (control). Plaque index, bleeding on probing, probing pocket depth, and clinical attachment loss were measured as full-mouth clinical periodontal parameters. Gingival crevicular fluid macrophage migration inhibitory factor was evaluated using an enzyme-linked immunosorbent assay.
Results: The concentration of (MIF) in the …

Association Of Frenal Attachment Morphology With Orthodontic And Esthetic Outcomes: A Systematic Review, Mohan Kumar Pasupuleti, Radhika Thakkar, Vijaya Lakshmi Pavani Molli, Digvijaysinh Parmar, Abhishek Jahagirdar, Subramanya Shetty M

Journal of Dentomaxillofacial Science

Background: Although individual studies have investigated the clinical significance of frenal attachments, no recent systematic review has comprehensively synthesized the evidence regarding the association between frenal attachment morphology, orthodontic treatment considerations, and esthetic outcomes. Therefore, this systematic review was conducted to address this knowledge gap.
Methods: Electronic database searches were conducted through December 31, 2025, and studies published between January 2014 and December 2025 were eligible for inclusion.Eligible observational and clinical studies reporting orthodontic or esthetic outcomes associated with frenal attachment morphology were included. Study selection, data extraction, and CASP-based quality assessments were performed independently by two reviewers. Twelve studies …

Comparative Evaluation Of Robusta Coffee Fruit Skin And Bean Skin Nanoparticle Edible Films: Physicochemical, Antibacterial, Mucoadhesive, And Immunomodulatory Properties, I Dar. Dewanti, I Da. Susilawati, Didin E. Indahyani, Eri H. Jubhari

Journal of Dentomaxillofacial Science

Objective: This study aimed to compare the physicochemical characteristics, antibacterial activity, mucoadhesive strength, and immunomodulatory properties of edible films containing Robusta coffee fruit skin or bean skin nanoparticles for oral wound therapy.
Materials and Methods: Edible films containing 2% Robusta coffee fruit skin or bean skin nanoparticles were prepared using carbomer, kappa carrageenan, glycerin, stevia, and sodium benzoate. The physicochemical properties of the samples were evaluated by measuring pH, scanning electron microscopy, and organoleptic assessment. The antibacterial activity against Streptococcus mutans was determined using the colony-forming unit method. Mucoadhesive strength was measured using a texture analyzer, and immunomodulatory activity was …

Enhanced Biocompatibility Of An Orthodontic Adhesive Modified With Hydroxyapatite Derived From Asian Moon Scallop (Amusium Pleuronectes) Shells, Gufa B. Pamungkas, Eddy H. Habar, Maria Tanumihardja, Rasmidar Samad, Stang Stang, Eka Erwansyah, Nurlindah Hamrun

Journal of Dentomaxillofacial Science

Objective: This study aimed to synthesize hydroxyapatite (HAp) derived from Asian moon scallop (Amusium pleuronectes) shells, characterize its physicochemical properties, and evaluate its biocompatibility when incorporated into an orthodontic adhesive.
Materials and Methods: Calcium oxide was obtained by calcining Amusium pleuronectes shells and used as a precursor for hydroxyapatite synthesis via a wet chemical precipitation method. The resulting powder was characterized using X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and energy-dispersive X-ray spectroscopy (EDX). The synthesized hydroxyapatite was incorporated into an orthodontic adhesive at 2 wt% as the experimental group, whereas the unmodified adhesive …

Analysis Of Nasopalatine Canal Shape And Dimensions At Hasanuddin University Dental Hospital Using Cone-Beam Computed Tomography, Dian Handayani, Fadhlil U.A. Rahman, Kezia R. Mustakim, Dwi P. Wulansari, Barunawaty Yunus

Journal of Dentomaxillofacial Science

Objectives: Variations in the shape and dimensions of the nasopalatine canal (NPC) may influence clinical planning and increase the risk of complications such as neurovascular injury, hemorrhage, and implant failure. Cone-beam computed tomography (CBCT) enables accurate three-dimensional visualization of NPC morphology. The present study aimed to analyze differences in NPC shape and size according to age and gender using CBCT.
Material and Methods: This analytical cross-sectional study included 259 CBCT scans of patients aged 18–60 years obtained from Hasanuddin University Dental Hospital between 2022 and 2025. NPC morphology was evaluated in sagittal, coronal, and axial planes, while dimensional measurements included …

Evaluation Of The Clinical Success Of Cad/Cam Dental Prostheses: A Systematic Review In Digital Prosthodontics, Yunita F. Ramadhany, Lenni Indriani, Ike D. Habar, Acing H. Mude, Taufiqqurrahman Zulkifli

Journal of Dentomaxillofacial Science

Objective: This study aimed to evaluate the clinical success of Computer-Aided Design/Computer-Aided Manufacturing (CAD/CAM) dental prostheses in terms of biological outcomes, marginal adaptation, patient satisfaction, and comfort.
Methods: This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and registered on January 11, 2026, in PROSPERO (CRD420261282946). Electronic searches for English-language publications from January 2014 to December 2025 were performed in PubMed, Cochrane Library, and Embase, supplemented by searches in PubMed Central, ScienceDirect, and Wiley Online Library. Two independent reviewers screened the titles, abstracts, and full texts based on predefined eligibility …

Spatial Markov Equilibrium Models For Taxi Services: Driver Decision, Search Friction, And Locational Pricing, Yanchao Liu

Industrial and Systems Engineering Faculty Research Publications

This paper develops a modeling framework for stochastic multi-agent systems and applies it to equilibrium and pricing analysis in urban taxi markets. Travel demand is represented as a trip network and embedded in a Markov chain that captures both locational and in transit taxi states, with transition dynamics reflecting trip durations, search frictions, spatial competition, and drivers’ perceptions of long-term value. The framework features a parametric Markov chain with endogenous transition probabilities and a behavioral model in which agents’ decisions depend on anticipated long-term rewards. We establish equilibrium existence and examine two locational pricing schemes that align individual incentives with …

Spatiotemporal Variations Of Tidal Asymmetry Along The Coast Of Taiwan: Characteristics And Implications, Ting-Chieh Lin, Tai-Wen Hsu, Tzu-Chun Huang, Chun-Yuan Lin

Journal of Marine Science and Technology–Taiwan

This study presents the first systematic investigation into the spatiotemporal characteristics and evolutionary trends of tidal asymmetry along the coast of Taiwan from 2003 to 2022, employing a moving window method combined with the S_TIDE toolbox.  By quantifying the skewness of the Main Tidal Asymmetry Combinations (MTAC) and their temporal variations, the study reveals significant regional disparities between the eastern and western coasts.  The western coast is primarily dominated by the M2-M4 combination, with the northwestern region exhibiting a flood dominance pattern and the southwestern region characterized by ebb dominance.  Conversely, the eastern coast, attributed to its open topography and …

Swarm-Calibrated Ordinal Forests For Risk-Aware Forecasting In Non-Stationary Intraday Financial Time Series, Ahmed S. Salama, Ahmad M. Nagm

Sustainable Machine Intelligence Journal

Intraday non-stationary financial time series are difficult to model because of regime switching, volatility clustering, nonlinear price responses, and rapidly changing liquidity. Although machine-learning models can detect nonlinear dependencies, their direct use for intraday trading decisions can be unstable because of transaction costs, drawdown, and exposure risk. This study develops Swarm-Calibrated Ordinal Forests (SC-OF), a hybrid soft-computing architecture for risk-aware forecasting and execution control in non-stationary intraday markets. Continuous OHLCV streams are transformed into a technical-ordinal feature space in which ordinal symbolic patterns preserve local temporal ordering while reducing sensitivity to amplitude distortions. A validation-weighted ordinal forest combines random-forest and …