Digital Commons Network^™

Clinical Epidemiology Of Stroke In The Productive Age Population In Indonesia: A Scoping Review, Satria Akbar Putra Asmara, Ulil Albab Habibah

Jurnal Epidemiologi Kesehatan Indonesia

Data from the 2018 Indonesian Basic Health Research (Riskesdas) demonstrates a marked increase in stroke prevalence, rising from 7% in 2013 to 10% in 2018. This upward trend is accompanied by a notable epidemiological shift, with stroke no longer predominantly affecting older adults ≥65 years, but increasingly occurring among the productive-age population (15–64 years). This scoping review was conducted in February 2026 in accordance with the JBI methodological guidelines and PRISMA-ScR. Searches were conducted in Google Scholar, PubMed, Garuda, and ScienceDirect. Inclusion criteria include articles published within the last 10 years (2016–2026), articles discussing the characteristics of stroke patients in …

A Tale Of Two Policy Regimes: A Comparative Analysis Of Migrants’ School-To-Work Transition In Hong Kong And Taiwan, Pakorn Phalapong

Asia-Pacific Social Science Review

Foreign professionals have been frequently viewed as a remedy for labor shortages and as catalysts for economic development, prompting many governments—including Hong Kong and Taiwan—to facilitate their immigration for education and employment. Consequently, this study endeavors to identify a general pattern and plausible conditions that underpin the promotion of school-to-work transition policy regimes in a migration context. Using case-based analysis and the Most Different Systems Design (MDSD), secondary data were collected for the analysis. The findings reveal that, despite markedly differing political systems, both jurisdictions adopted a school-to-work policy regime in response to comparable conditions: the demographic changes, the influx …

Lesson-3 On Mni Wiconi (Water Is Life): Analyzing Evidence And Communicating Solutions (Community Stewardship), Reycel Jugo, Madhav P. Nepal

iLEARN Teaching Resources

Students analyze the data collected from their filter tests, construct an evidence-based argument for their most effective design, and communicate their solution to a “community council” (the class), connecting their technological solution back to community well-being. In the final lesson, students will analyze their data, draw conclusions, and communicate their findings. They will present their improved water filter designs to the class, acting as consultants for the fictional community.

Problem-Based Learning (PBL) Scenario: Students are now ready to present their final water filter prototypes and a summary of their findings to a “community council” (the rest of the class). They …

An Empirical Investigation Into The Semantics Of The Polish Modal Musieć [Must] With Aspect And Negation, Leszek Szymański

Khazar Journal of Humanities and Social Sciences

The present paper makes an attempt to employ concepts developed in philosophy and logic in order to explain natural language phenomena. The study centers on the meanings of the Polish modal verb musieć in relation to aspect and negation. It uses authentic language samples excerpted from Narodowy Korpus Języka Polskiego [The National Corpus of Polish]. It adapts the model of the semantic field of modal expressions (Kratzer, 1991) to disambiguate the modal, focusing on the characteristics of the conversational backgrounds that the speaker evaluates in expressing their modal evaluation of an event. The study proposes that the lack of modality-aspect …

The Effect Of Salt Concentration On The Phytochemical Content And Antioxidant Capacity Of Laba Garlic Pickle From The Kating And Honan Varieties, Nurel Maharani, Ummi Rohajatien, Titi Mutiara Kiranawati, Nunung Nurjanah

Bulletin of Culinary Art and Hospitality

Garlic (Allium sativum L.) has considerable potential as a functional food. However, its utilization remains limited. Laba garlic pickle is one of its processing alternatives. This study investigated the effect of salt concentrations (1 g, 2 g, and 3 g) on the phytochemical content (flavonoids), dietary fiber, and antioxidant capacity of Laba garlic pickle from Kating and Honan varieties. The experiment was conducted using a Randomized Complete Block Design (RCBD). The data were analyzed using analysis of variance (ANOVA) followed by the Least Significant Difference (LSD) test at a 5% significance level. The results showed that salt concentration had no …

Waste Analysis Of Outpatient Waiting Time In The Obstetrics And Gynecology Polyclinic (Ob-Gyn) On Lean Healthcare Approach At X General Hospital Jember, Widian Almas Zatin, Dwi Prijatmoko, Firman Firman

Preventia: The Indonesian Journal of Public Health

In outpatient services, waiting time is one indicator of the quality of hospital services and can influence patient satisfaction. The research aims to analyze the waste of outpatient waiting time at the OB-GYN polyclinic of X General Hospital, Jember, using a lean healthcare approach. The case study for this research used a mixed-methods exploratory sequential design. Data were collected through observation, structured interviews, reviewing the standard operating procedures and the service flow, and distributing questionnaires to identify critical waste. The sequence of services was analyzed using Value Stream Mapping to identify value-added, non-value-added, and waste. Process Cycle Efficiency (PCE) was …

Kmt2d As An Epigenetic Target In Cervical Cancer: A Literature Review On Polyclonal Antibody Therapeutics And Translational Prospects, Farsya Hidayah Septiananda, Taurisma Aulia Nanda Wibisono, Rajendra Aulya Gilardino, Andreas Budi Wijaya

Preventia: The Indonesian Journal of Public Health

Cervical cancer remains a significant global health burden, particularly in regions with limited access to advanced therapeutics. Beyond viral oncogenesis, accumulating evidence highlights the crucial role of epigenetic dysregulation, particularly KMT2D, in tumor initiation and progression. This literature review aimed to critically synthesize current evidence regarding the biological role of KMT2D in cervical cancer and to explore the opportunities and limitations of antibody-based approaches for future epigenetic intervention. A structured narrative literature review was conducted using PubMed, Scopus, and Web of Science to identify relevant studies published between January 2020 and May 2025. Literature selection was guided by a modified …

Cross-Language Vulnerability Analysis Via Multimodal Deep Learning, Ghader Aljebreen, Reem Alnanih, Fathy Eassa, Maher Khemakhem, Kamal Jambi, Muhammed Usman Ashraf

Journal of King Abdulaziz University: Computing and Information Technology Sciences

Ensuring robust security in software development is essential due to the growing complexity of systems and the increasing prevalence of vulnerabilities. Existing vulnerability detection (VD) methods typically fall into two categories: multimodal single-language systems, which analyze vulnerabilities from multiple perspectives (e.g., source code and compiled code) but are limited to a single programming language, or unimodal multi-language systems, which focus on only one type of analysis (e.g., source code) while supporting multiple programming languages. These approaches, while effective in specific scenarios, often fail to comprehensively address security challenges due to their inherent limitations. This study introduces a deep learning-based, multimodal, …

Insights From Hajj Pilgrims Perspectives On Enhanced Intelligent Centralized Toilet Monitoring And Cleaning System, Ikhlas Zamzami

Journal of King Abdulaziz University: Computing and Information Technology Sciences

This paper introduces a comprehensive framework for effectively managing public bathroom facilities in a limited space, with a specific focus on the context of the Hajj pilgrimage. The research technique encompasses stakeholder engagement, site assessment, data collection, analysis, and model creation to tackle the complex difficulties related to bathroom management during the Hajj pilgrimage. By conducting focus group investigations and employing thematic analysis, we have discovered major themes including the state of lavatory facilities, difficulties in toilet administration, suggested improvements, and ways for collaboration. The created model incorporates multiple essential characteristics for efficient toilet management, such as cleaning frequency, replenishing …

Hdl: A Balanced Dataset For Hand-Drawn Digital Logic Gates, Ghassan F. Bati

Journal of King Abdulaziz University: Computing and Information Technology Sciences

Digital Logic Gates are fundamental components of digital circuits and systems, encompassing eight types: AND, OR, NOT (INVERTER), BUFFER, NAND, NOR, XOR, and XNOR. As Artificial Intelligence (AI) continues to advance, the demand for diverse datasets grows. This study introduces the Hand-drawn Digital Logic Gates (HDL) dataset, a novel and balanced collection of images representing these gates, accompanied by tabular data generated through deep learning techniques. The analysis of this dataset employs various machine learning models, utilizing no-code tools such as Orange Data Mining and Liner.ai. Additionally, state-of-the-art models from HuggingFace are incorporated to enhance the analysis. The significance of …

A Systematic Literature Review Of Fraud Research Prevalence, Mohammed Khojah, Nawaf Alzahrani, Saed Eidow, Jawad Alamri, Ibrahim Albassam, Muath Alghamdi, Aseel Atawi, Osama Bayunus, Osama Alhodaly, Osama Rabie

Journal of King Abdulaziz University: Computing and Information Technology Sciences

Background: Fraud is a pervasive worldwide problem that is evolving rapidly along with the technological advances and causing significant financial losses in a variety of industries. Traditional detection techniques often fall short in the face of more complex and digitalized fraud schemes. The pressing need for more intelligent detection systems is what motivated this review, which attempts to systematically assess the body of research on fraud detection and pinpoint dominant fraud sectors, types, and methods. Methods: This study employed a Systematic Literature Review (SLR) approach to comprehensively assess the current landscape of fraud detection research across multiple domains. …

Exploring The Capabilities Of Generative Ai In Supporting Diagnostic Test Accuracy Reviews, Amal Hamed Alharbi

Journal of King Abdulaziz University: Computing and Information Technology Sciences

The identification of relevant studies is a critical and time-consuming component of conducting Diagnostic Test Accuracy reviews. Traditionally, this process relies on manual screening and evaluation of large volumes of literature. This study investigates the use of generative artificial intelligence, specifically OpenAI's ChatGPT, to assist in identifying and classifying relevant studies in Diagnostic Test Accuracy reviews. We applied ChatGPT and a traditional Support Vector Machine model across four Diagnostic Test Accuracy reviews and evaluated their performance using precision, recall, and F1 score. ChatGPT achieved an average recall of 85.18% and F1 score of 78.97%, outperforming SVM in recall and overall …

Binara: A Game-Based 3d Simulation Framework For Pre-Occupancy Architectural Design Evaluation, Doaa Sinnari

Journal of King Abdulaziz University: Computing and Information Technology Sciences

Architectural design workflows still rely heavily on post-occupancy evaluation (POE), where usability and experiential issues are often identified only after buildings have been constructed. Although advances in real-time rendering and game engines enable immersive architectural visualization, most existing tools primarily support passive walkthroughs and remain disconnected from systematic user-experience evaluation. This limitation highlights the need for interactive approaches that allow stakeholders to experience and assess architectural spaces prior to construction. This paper presents Binara, a game-based three-dimensional simulation framework designed to support immersive pre-occupancy architectural design evaluation. The proposed framework integrates architectural construction tools, immersive walkthrough exploration, and conversational feedback …

Investigating The Effects Of Ai-Mediated Language Instruction On Linguistic, Affective, And Autonomy-Related Outcomes Among English Language Learners, Raniah Hassen Kabooha

Journal of King Abdulaziz University: Computing and Information Technology Sciences

Artificial intelligence (AI) has increasingly been integrated into language education; however, empirical evidence regarding its effects on both linguistic and affective outcomes among English as a foreign language (EFL) learners remains limited, particularly in higher education contexts. This study investigated the impact of AI-mediated instruction on English language proficiency, language motivation, language anxiety, and learner autonomy among university-level EFL students. An explanatory sequential mixed-methods design was employed involving sixty first-year female EFL students in Saudi Arabia who were assigned to either an experimental group receiving AI-assisted instruction or a control group receiving traditional instruction over a ten-week period. Quantitative data …

The Key Ict Determinant Of Sustainable Educational Changes, Ikhlas Fuad Zamzami

Journal of King Abdulaziz University: Computing and Information Technology Sciences

The transition from traditional to technology-enhanced education varies across countries, and research has primarily focused on how information and communication technology (ICT) has merged with and transformed educational systems. To provide a thorough understanding of this educational transformation, scholars have employed diverse frameworks thus far. In this study, the DEMATEL (decision-making trial and evaluation laboratory) method was used to identify the most crucial factor of sustainable educational reforms in the field of information and communication technology (ICT). In the process of conceptualizing and evaluating sustainable educational advancements, 10 characteristics are used as criteria to assess the major determinant of sustainable …

Integrating Interdisciplinary Approaches To Enhance Creativity In Higher Education, Yuan Shuang Ma, Gulmira Karabalaeva, Sultan Karabalaev, Guldana Akieva, Nurisa Tynystanova

Higher Learning Research Communications

Objectives:The aim of this study was to identify specific conditions that promote creativity and innovation among students.

Methods:Through a comprehensive methodology that includes questionnaires, creative thinking tests, and qualitative interviews, the study assessed students’ perceptions of factors influencing creativity.

Results:Key findings highlight the importance of a dynamic, interdisciplinary curriculum that encourages a holistic understanding of real-world challenges. The study emphasized the significance of student-centered learning environments, where active participation, autonomy, and exploration of personal interests foster creativity. The research also demonstrates that innovative teaching methods, such as problem-based learning and the use of modern technology (e.g., multimedia …

The Development Of An In Silico Vaccine Design-Based E-Module To Improve Students' Biological Literacy, Qairinasherin Qwine Ferendi, Rusdi Rusdi, Hanum Isfaeni

Jurnal Pendidikan Sains

Low levels of biological literacy among students, particularly in biotechnology, highlight the need for innovative digital learning media that facilitate meaningful and contextual learning experiences. This study aimed to develop and evaluate an interactive biotechnology e-module based on in silico vaccine design to improve students’ biological literacy. The study employed Educational Design Research (EDR) using the Hannafin and Peck model, which consists of three phases: needs assessment, development, and implementation. The participants included 73 tenth-grade science students and one biology teacher from SMAN 68 Jakarta, Indonesia. The e-module was developed using Canva and Heyzine to create an interactive flipbook integrating …

Lesson-1 On Mni Wiconi (Water Is Life): Understanding The Problem Of Water Contamination, Reycel Jugo, Madhav P. Nepal

iLEARN Teaching Resources

Students investigate a scenario of water contamination in a fictional community. They define the engineering problem of dirty water and explore the cultural and ecological significance of water through the lens of indigenous principles. This lesson introduces students to the concept of water contamination and the need for purification, grounding the learning in a real-world problem and connecting to Indigenous knowledge about the land and water.

Problem-Based Learning (PBL) Scenario: Students receive a letter from a fictional community whose water source has become cloudy and is making people sick. They are tasked with becoming “Water Engineers” to investigate the …

Lesson-2 On Mni Wiconi (Water Is Life): Designing And Testing Solutions (Water Filtration), Reycel Jugo, Madhav P. Nepal

iLEARN Teaching Resources

Students apply the engineering design process to build, test, and refine a simple water filter prototype. This hands-on experiential learning activity focuses on the properties of filtering materials and iterative problem-solving.  In this lesson, students will apply the engineering design process to build and test their own simple water filters. They will use their newfound knowledge to begin developing a practical solution to the problem presented in Lesson 1 - Mni Wiconi: A Water Engineering Challenge for 4th Graders.

Problem-Based Learning (PBL) Scenario: Having identified the problem, students are now tasked with designing and building a prototype water filter …

Developing Biodegradable Packaging Films And Beads From Agricultural Residues, Sandeep Paudel, Santosh Rijal, Srinivas Janaswamy, Madhav P. Nepal

iLEARN Teaching Resources

Agricultural waste is produced in large amounts worldwide. These are often discarded despite being valuable sources of cellulose and renewable, biodegradable products. At the same time, rising environmental concerns about petroleum-based plastic packaging have created demand for sustainable alternatives. Introducing K-12 students to biodegradable packaging materials developed from agricultural waste can enhance understanding of sustainability, basic materials science, and circular bioeconomy concepts while encouraging interest in STEM fields. Another concern is the presence of microplastics and nanoplastics in drinking water, which can pose serious risks to human health. Traditional coagulation agents, such as ferric and aluminum salts, are less effective …

Pengaruh Environmental Score Terhadap Kinerja Keuangan Bank Di Enam Negara Asean Pada Tahun 2020-2023, Nadira Meuthia Jefri, Mona Ridho Sidjabat

Jurnal Manajemen dan Usahawan Indonesia

This study aims to examine the effect the financial performance of banks in six ASEAN countries (Indonesia, Malaysia, Singapore, Thailand, the Philippines, and Vietnam) during the period 2020–2023. The Environmental Score measures a company's environmental performance through three main sub-pillars: Emissions, Resource Use, and Innovation. Panel data from 31 banks were analysed using panel regression with robust standard errors, and endogeneity was tested using Two-Stage Least Squares (2SLS). The results show that the Environmental Score has a positive and significant effect on ROA, ROE, Tobin’s Q, and Market Capitalization, but no significant effect on NIM. The Resource Use Score sub-pillar …

Analisis Pengaruh Artificial Intelligence Terhadap Efisiensi Pengambilan Keputusan Dan Implikasinya Pada Manajemen Sumber Daya Manusia Di Indonesia: Studi Literatur Sistematis, Andi Wulan, Agung Wirabrata, Dwija Ardya Pradipta

Jurnal Manajemen dan Usahawan Indonesia

Artificial Intelligence (AI) is reshaping organizational decision-making and Human Resource Management (HRM), yet empirical insights remain fragmented. This study examines the effect of AI adoption on decision-making efficiency and its implications for HRM through a Systematic Literature Review (SLR) guided by PRISMA 2020. The dataset exclusively comprises scholarly articles uploaded by the researcher. The identification stage yielded 87 records, reduced to 72 after duplicate removal; screening produced 34 articles for full-text assessment, and 15 studies met the inclusion criteria. These 15 articles were analyzed using thematic synthesis to map recurring patterns and conceptual linkages. The findings indicate that AI significantly …

Transformasi Digital Rantai Pasok Halal: Model Kesiapan Ketertelusuran Digital (Digital Traceability Readiness) Pada Industri Busana Muslim Global, Khansa Khansa, Nailah Artanti Eka Putri, Corrina Hazimah Ismailia

Jurnal Manajemen dan Usahawan Indonesia

The global modest fashion industry continues to grow rapidly as Muslim consumers demand objectively verifiable halal integrity assurance. The complexity of the fashion supply chain, which is long, fragmented, and involves risky auxiliary materials such as dyes, glues, and threads, opens up opportunities for contamination and halal-washing, making digital traceability a strategic prerequisite for sharia compliance. This study aims to synthesize a digital traceability readiness model based on evidence-based assurance. The method used is a Thematic Literature Review (TLR) with a thematic synthesis approach. This study formulates a Three-Level Readiness Taxonomy that maps the evolution of halal assurance from a …

Using Ai To Enhance Accessibility, April Griess, Jennie Tobler-Gaston

Criss Library Faculty Proceedings & Presentations

This presentation explores a practical look at AI tools for improving accessibility. The first part demonstrates OCR workflows using Adobe Acrobat Pro and free OCR tools. Participants will see how each tool converts scanned PDFs into machine-readable text, how they differ in output quality and layout fidelity, and how each supports accessibility workflows.

The second part features an AI tool for transcribing handwritten text. The session will demonstrate accuracy issues, tool limitations, and ethical considerations when using AI.

The session is designed to help individuals and institutions determine which AI tools best fit their accessibility goals, staffing levels, and budget. …

Generative Endurance Logic: An Axiomatic Framework For Reasoning About Outcome-Generating Objects Under Constraints, Hafiz Burhan Ul Haq, Muhammad Nauman Irshad

Neutrosophic Systems with Applications

This paper introduces Generative Endurance Logic (GEL), a formal framework for studying objects through the outcomes they can produce. In many cases, an object cannot be judged only by a fixed truth value, score, or utility value. A rule, model, action, or strategy may behave well in one situation but fail when the context changes or when small perturbations occur. GEL addresses this issue by treating each object as a generator of outcomes. Each object a is linked to a generation map Ga:X×Ω→Y, where X is the context space, Ω is the …

Interval-Valued Neutrosophic Dombi Bonferroni Mean Aggregation Operators In Medical Diagnosis And Sustainable Energy, Maryam Faisal, Muhammad Nadeem, Muhammad Kamran

Neutrosophic Systems with Applications

Medical diagnosis is one of the most difficult fields in which decisions must be made due to the fact that medical information often has characteristics of uncertainty, incompleteness, imprecision and even contradiction. Traditional aggregation and decision-making methods are often not well suited to such complexities, and may result in less reliable diagnostic outcomes. In order to overcome these drawbacks, the authors propose a new approach using a novel representation of Interval-Valued Neutrosophic Sets (IVNSs), the Dombi operational laws, and Bonferroni Mean (BM) aggregation operators. The proposed framework is specifically aimed at coping with uncertainty, indeterminacy and falsity all at once …

An Interactive Multi-Objective Programming Approach For Optimizing Fully Trapezoidal Spherical Fuzzy Linear Programming Problem With Application, Sultan S. Alodhaibi, Hissah Ibrahim Almuzini, Hamiden Abd El-Wahed Khalifa

Neutrosophic Systems with Applications

In this paper, a linear programming framework with completely uncertain parameters is investigated by employing trapezoidal spherical fuzzy numbers (TrSFNs). The proposed formulation incorporates a spherical fuzzy (SF) decision environment in which the optimization process simultaneously maximizes the degree of positive membership while minimizing the corresponding neutral and negative membership degrees. By utilizing the concept of the α -cut associated with TrSFNs, the original fully fuzzy linear programming problem is transformed into an interval-valued linear programming model with confidence levels. To rank and compare the resulting interval objective values, an interval ordering approach based on the decision maker's preferences—considering the …

English Faculty Members’ Perception And Attitude Toward The Use Of Chatgpt By English Language Teaching In Higher Education In Saudi Arabia, Wjoud Hussain Almadani

University of Tabuk Journal for Humanities and Social Sciences

Objectives: Artificial intelligence (AI) driven ChatGPT is an innovative transformation tool in the rapidly evolving educational landscape. This study aimed to understand faculty members' perspectives and attitudes toward using ChatGPT for English language teaching in Saudi Arabia, particularly in Najdi rural areas. Method: The study employed a survey-based quantitative research design involving English-language faculty members in Saudi Arabia, particularly at Shaqrah University. Result: Despite having a mixed opinion on the willingness to use ChatGPT in English language teaching, participants have identified several applications of ChatGPT, such as translation and vocabulary, creating presentations, preparing exam and quiz questions, and creating activity …

Extracellular Vesicles In Adult Acute Myeloid Leukemia, Haniatul Qomariya, Fitrotin Azizah, Yetti Hernaningsih

Folia Medica Indonesiana

Acute Myeloid Leukemia (AML) is an aggressive hematologic malignancy marked by uncontrolled expansion of immature myeloid cells and disruption of normal hematopoiesis. Beyond genetic abnormalities, accumulating evidence demonstrates that leukemic progression is strongly shaped by intercellular communication within the bone marrow niche. Extracellular vesicles (EVs), including exosomes and microvesicles, have emerged as key mediators of this communication, transporting bioactive molecules that influence leukemic cell behavior, immune responses, and treatment sensitivity. This systematic review synthesizes current findings on EVs in adult AML, focusing on their biogenesis, molecular cargo, roles in disease pathogenesis, diagnostic and prognostic relevance, and therapeutic potential. Following PRISMA …

Nanotechnology In Wound Healing And The Rising Role Of Bionanocomposites, Humaira Yasmeen, Saher Mahmood, Iqra Munir, Hubza Ruatt Khan, Iram Asim, Abeera Abid, Kashaf Junaid, Asif Raheem, Sara Janiad

Journal of Bioresource Management

Nanotechnology holds considerable promise in the field of biomedical research, particularly in the creation of innovative materials. Its influence extends significantly to medication formulation, drug delivery systems, and the realm of nanomedicine. These materials are being increasingly investigated for a range of applications; nevertheless, it is essential to conduct thorough assessments of their safety and environmental implications. Globally, millions of people suffer from slow wound healing, which leads to heightened mortality rates and escalated healthcare expenses. The primary factors contributing to impaired wound healing include microbial infection, unstable inflammation, and persistent inflammation. Regrettably, these critical issues have not been adequately …