Digital Commons Network^™

Beyond Numbers: Decoding The Dynamics Of Qualitative Accounting Research Across Decades, Triana Eva Adiningsih

Jurnal Akuntansi dan Keuangan Indonesia

Background: This study examines the realm of qualitative research in accounting, highlighting its evolving methodologies and thematic emphasis. There has been increasing interest in qualitative methodologies, such as literature reviews, SLRs, archival research, bibliometric studies, and interviews, to explore the complex nature of accounting practices. Methods: This study identifies the principal themes, trends, and prominent authors in qualitative accounting research through a systematic approach that incorporates bibliometric analysis using VOSviewer and a thorough assessment of Scopus-indexed journals. Findings: The findings highlight significant themes, including sustainability, technology, governance, and the impact of global occurrences, such as the COVID-19 pandemic, on accounting …

The Impact Of Pasifikas In Medicine On Pacific Islander Medical Student Experiences, Devon Hori Harvey, Micah Ngatuvai, Siale Vaitohi, Paige E. Faasuamalie, Maegan Tupinio, Lisa H. Smith

Student Papers, Posters & Projects

BACKGROUND: Pacific Islanders experience significant health disparities. One contributing aspect to these disparities is the lack of racial concordance as Pacific Islanders are underrepresented in the U.S. physician work force. Several factors contribute to this underrepresentation including lack of support systems for Pacific Islander premed and medical students. Pasifikas in Medicine (PiM) is a recently established national student organization founded to provide support for Pacific Islander premed students, medical students, residents, fellows and attending physicians. This study seeks to understand the impact of PiM on medical student experiences.

METHODS: An anonymous survey was distributed to the PiM listserv and to …

When Delivery Matters: Diffuse Coronary Vasospasm With Continuous, But Not Bolus, 5-Fu Infusion, Muhammad Sabri, Zinya Talukder, Angad Bedi, Sung-Hae Cho

Division of Internal Medicine Faculty Papers & Presentations

5-Fluorouracil (5-FU) is a fluorinated pyrimidine chemotherapy analogue used to treat various gastrointestinal solid malignancy. It is known to be associated with cardiotoxicity. Here, we present a case of 58-year-old male with mucinous adenocarcinoma of the sigmoid colon who experienced global coronary vasospasm in setting of continuous 5-FU infusion refractory to prophylactic antianginal treatment. However, he was asymptotic when given bolus of 5-FU. Our case highlights the difference in toxicity between continuous and bolus 5-FU therapy and emphasizes the need for further research in the pathophysiology and treatment of cardiotoxicity related to 5-FU therapy.

Investigating The Role Of Cornichon-Homolog 3 (Cnih3) In Opioid Use, Contributing Risk Factors, And Associated Neural Substrates, Tania Lintz

Arts & Sciences Graduate Student Theses and Dissertations

Opioid misuse remains rampant as potent synthetic opioids such as fentanyl flood the market. Large-scale genetic tools like the GWAS identify previously unrecognized targets and biomarkers in opioid misuse with the hopes of combating the opioid epidemic and opioid use disorder (OUD). One such target is the AMPA receptor (AMPAR) auxiliary protein Cornichon Homolog-3 (CNIH3), which determines AMPAR subunit composition and kinetics. Though CNIH3 was identified as a gene of interest in OUD, its role in opioid use and accompanying risk factors has not been studied. Using mice with a CNIH3 deletion, we assess the role of CNIH3 in risk …

Pdf Of Full Issue: 17(6) 2025, Rosalind L. Raby

Journal of Comparative & International Higher Education

No abstract provided.

Cytomegalovirus As A Potential Trigger For Acute Coronary Syndrome: A Case Of Nstemi In A Previously Healthy Patient, Hussam Al Hennawi, Muhammad Sabri, David Teng, Maxwell Berman, Botros Shenoda

Abington Jefferson Health Papers

Cytomegalovirus (CMV) infection has been implicated in endothelial dysfunction and atherogenesis, yet its role as a potential trigger for acute coronary syndrome (ACS) remains underrecognized. We present a case of a 32-year-old male with no prior medical history who developed non-ST elevation myocardial infarction (NSTEMI) and was subsequently found to have active CMV infection. The patient had no known history cardiovascular disease, though subsequent testing did reveal additional underlying risk factors. This case highlights the need to consider infectious etiologies, including CMV, as contributors to ACS in young, otherwise apparently healthy individuals. Understanding the interplay between viral infections and atherosclerotic …

The Landscape Of Silver Diamine Uoride Research In Dentistry: A Bibliometric Analysis Of Trends And Future Directions, Wong F. Jak, Tengku Nnt. Hamzah, Thaddius H. Maling, Nor Am. Nor

Journal of Dentomaxillofacial Science

Objective: To update the bibliometric profile of global SDF literature, focusing on publication trends, contributing countries, study designs and mapping thematic research evolution.

Material & Method: Publications were searched in the Scopus database from inception to 20 April 2025. Data were extracted and cleaned using biblioMagika® and OpenRefine. Study designs were manually classified through abstract review. Publication trends were analysed using SPSS software. Data visualisations were generated using VOSviewer and Biblioshiny.

Results: Of 727 records identified, 659 publications were included in the analysis. Laboratory studies (45.83%) dominated, followed by clinical trials (19.58%) and reviews/guidelines (15.78%). Publication output rose modestly until …

Addendum To The Mapbook Of Syntactic Variation In American English: Survey Results, 2020–2021, Jim Wood, Guilherme M. C. Pereira

Yale Working Papers in Grammatical Diversity

This paper presents an addendum to the Mapbook of Syntactic Variation in American English (Wood et al. 2020), reporting the results of additional acceptability-judgment surveys conducted by the Yale Grammatical Diversity Project in 2020–2021. Using the same survey design, data-processing pipeline, and mapping techniques as the original mapbook, we extend the empirical record to a new set of syntactic constructions, including additional uses of hella, causal where, the alternative one construction, intensificational fully, and several cases of object omission with transitive verbs, which we call “lonely transitives”. As in the original work, we provide geospatial visualizations of …

Penggunaan Wordwall Pada Pembelajaran Pendidikan Jasmani Olahraga Dan Kesehatan Siswa Kelas 1 Sd Laboratorium, Ragita Febriansyah, Gema Fitriady, Anang Marzuqi

Journal of Innovation and Teacher Professionalism

Education is an important aspect of society because it improves the quality of human resources and expands opportunities for individual success. In this context, Physical Education, Sports, and Health at the elementary school level plays a crucial role in students’ holistic development. However, teaching this subject in Grade I can be challenging because instruction must be appropriate to students’ developmental stages and varied learning styles. In the information technology era, digital learning media such as Wordwall offer considerable potential for improving instructional effectiveness. This study analyzed the use of Wordwall in Grade I Physical Education, Sports, and Health instruction and …

Penerapan Scaffolding Pada Zone Of Proximal Development Dalam Pembelajaran Sejarah Kelas X Ips, Ika Wara Yuni Antisna, Joko Sayono

Journal of Innovation and Teacher Professionalism

Effective teaching is an ideal form of instruction that optimizes students’ abilities. Various instructional strategies can be applied to achieve optimal learning outcomes, one of which is scaffolding. This study aimed to analyze the implementation of scaffolding within the Zone of Proximal Development (ZPD) in history instruction for Grade X Social Sciences 3 at SMA Laboratorium UM and to evaluate its impact on students’ understanding and learning independence. The study used a qualitative descriptive approach. Data were obtained through observation, interviews, and document analysis. The findings showed that scaffolding was highly important in history learning because students still required teacher …

Implementasi Pembelajaran Berdiferensiasi: Penerapan, Tantangan, Dan Solusi Di Sma Negeri 49 Jakarta, Rodeo Bagus Pratama, Acep Musliman

Journal of Innovation and Teacher Professionalism

This study examined the implementation of differentiated instruction at SMA Negeri 49 Jakarta, focusing on the identification of learning needs, the application of differentiation strategies, the challenges encountered, and the solutions adopted. Using a qualitative descriptive approach, data were collected through observation, interviews, and documentation. Lead teachers used cognitive and non-cognitive diagnostic assessments to group students according to their initial abilities and improve instructional effectiveness. Differentiation was implemented by modifying content, processes, products, and the learning environment. The main challenges included teacher workload, limited facilities, and students’ negative perceptions of grouping. Proposed solutions included the use of social media, appropriately …

Forecasting Inland Waterway Container On Barge Volume: A Machine Learning Approach Using Economic Features, Fan Bu, Heather Nachtmann

Industrial Engineering Faculty Publications and Presentations

This study presents a machine learning approach to predict Container-on-Barge (COB) volume in Inland Waterway Transportation (IWT) systems, focusing exclusively on using economic features as predictors. Five machine learning models were trained using European economic features to forecast COB volume, while historical COB volume was used solely for validation and hyperparameter tuning. Among these models, the convolutional neural network combined with long short-term memory (CNN-LSTM) exhibited superior performance, achieving a mean absolute percentage error (MAPE) of 1.08% when forecasting eight consecutive quarters of COB volume in Europe. The results demonstrate the feasibility of accurately forecasting COB volume using economic features. …

Asadh: A Meta Learning-Based Auto-Selective System For Anomaly Detection In Healthcare, Nadia Rashid, Rashid Mehmood, Fahad Alqurashi, Turki Alghamdi

Journal of King Abdulaziz University: Computing and Information Technology Sciences

Anomaly detection plays a crucial role in healthcare, supporting early disease identification, process improvement, and the reliability of medical equipment. Traditional machine learning (ML) and deep learning (DL) models often fail to generalize across heterogeneous medical datasets due to variations in feature distributions, class imbalance, and high dimensionality. To address this, we extend our earlier ASAD framework and propose ASADH (Auto-Selective Anomaly Detection in Healthcare), designed specifically for medical anomaly detection. ASADH applies meta-learning over a unified set of cross-modal meta-features spanning tabular, time-series, and medical image data to characterize each dataset and automatically recommend the most suitable anomaly detection …

A Bidirectional Lstm Deep Neural Network Model With Ssa Based Optimizer To Detect Human-Written And Ai-Generated Content In Arabic Language, Nesreen M. Alharbi

Journal of King Abdulaziz University: Computing and Information Technology Sciences

Advancements in AI technologies like ChatGPT are very much equipped and capable of writing articles within a short span of time. Use of artificial intelligence in education needs to be well organized and needs to go beyond technical accuracy, this opens a door to various unethical applications across multiple domains. Students rely on these AI tools, instead of coming up with their own idea and leads to reduce the student’s capacity to analyze information and to form a judgment. In other sectors like medical as well as in the field of scientific research there is an increase in use of …

Deep Learning-Based Automatic Usability Testing For Detecting Frustration And Confusion In User Interaction, Ahmed Alshehri

Journal of King Abdulaziz University: Computing and Information Technology Sciences

Real-time and scalable usability testing methods are the need of the hour as the digital systems evolve to be more adaptive and user focused. Conventional usability assessment methods, including interview and post-task query, are time-consuming, observer-biased and cannot measure emotional response in real-time. This study introduces a deep learning model for automatic usability evaluation using user frustration and confusion detection with the help of affective computing in realistic scenario. We present a CNN-LSTM, hybrid model to capture spatio-temporal emotional features from facial images of video sequences using the DAiSEE dataset with frame-wise user affect annotations in e-learning domain. The model …

Deep Learning Approaches For License Plate Detection In Saudi Arabia, Reemah M. Alhebshi, Abeer Almakky, Lujain Waleed Aljahdali, Raghad Bakr Hawsawi

Journal of King Abdulaziz University: Computing and Information Technology Sciences

The most important and challenging tasks in an intelligent traffic monitoring system are vehicle detection and classification. Conventional approaches are significantly computationally intensive and create limitations when the data-collecting modality alters. This study evaluates the effectiveness of deep learning models in extracting and classifying key vehicle attributes, such as license plates, models, and colors, through four AI-driven components for vehicle analysis. The YOLOv8m model was used for detecting the vehicle license plate and character recognition, achieving accuracy ranging from 95.10% to 99.24%. For vehicle model recognition, the Xception model also showed high performance with a precision of 96.79%. The EfficientNetB3 …

Hybrid Intelligent Architecture For Context-Driven Code Clone Detection, Afnan A. Almatrafi, Fathy A. Eassa, Sanaa A. Sharaf

Journal of King Abdulaziz University: Computing and Information Technology Sciences

Code clone detection is a critical task in software engineering, directly influencing code maintainability, quality, and technical debt management. Despite advancements in both static analysis techniques and AI-driven approaches, existing solutions remain fragmented, either relying on deterministic syntactic analysis for syntactic clone detection or employing machine learning, deep learning, and LLM-based methods for semantic clone detection. This separation leads to inefficiencies, scalability challenges, and missed optimization opportunities. This paper introduces a Hybrid Intelligent Clone Detection Architecture (HICDA), a context-driven delegation framework that routes clone detection tasks based on syntactic or semantic characteristics. Central to this architecture is the conceptualization of …

Vision-Based Triage Model For Fall Detection, Reem Alshalawi, Jamilah Alharbi, Mohammed Qadrouh

Journal of King Abdulaziz University: Computing and Information Technology Sciences

Artificial Intelligent (AI)has different methods to utilize technology in various scenarios. AI also has major impacts and values over emergency services. It can take actions and provide the ability to handle and support emergency cases that take place within a proper time to reduce the effect on the human lives. The paper addresses an AI model that forecasts and estimates syncope scenarios and incidents that may occur ahead of time or on the fly which results in immediate interventions and support to those cases to reduce complication. In this study, we have built a model using TensorFlow (TF) and Posenet …

Integrasi Teknologi Dalam Penilaian Formatif Informatika Melalui Quizizz Paper-Based, M Ferrari Firmansyah, Mabrul Rizal, Maharani Annisa Pasha, Lulita Ria Wandani, Mahadir Muhamad Erfin Abdilah, Zulfa Ulil Karomah

Journal of Innovation and Teacher Professionalism

This study examined the effect of Quizizz Paper-Based on formative assessment and student motivation in Informatics at SMPN 23 Malang. A quasi-experimental method was used with a non-equivalent control-group pretest–posttest design. The sample consisted of 60 students divided into an experimental group using Quizizz Paper-Based and a control group using conventional paper-based evaluation. The instruments included formative tests and a Likert-scale motivation questionnaire. Data were analyzed using t-tests and N-gain analysis. The findings showed that Quizizz Paper-Based improved students’ focus, motivation, and assessment efficiency. A total of 59.4% of students preferred it to Google Forms because of its interactivity and …

Occupational Resilience (Part 1): Origins And Significance To Health And Well-Being, Bernard A. Muriithi, Jyothi Gupta

Occupational Therapy Faculty Scholarship

Occupational resilience (OR) is a novel concept emerging in occupational therapy and occupational science, with significant implications for the field. However, its definition is still evolving and needs clarity and consensus. In this article, we offer a definition inspired by the real-life experiences of refugee immigrants who have been resettled in the United States of America (USA). We define OR as the ability to persist in an occupation, where the duration and intensity of engagement are the essential contributors. Therefore, we propose that three elements, occupation, intensity, and duration, constitute the nature of OR and shape how occupation impacts health, …

Centering Ai Literacy: Exploring Brazilian International Students’ Perceptions Of Chatgpt And Peer Tutoring, Leigh Ann Dunning, Raissa Borges De Oliveira Leal

The Writing Center Journal

For English as an Additional Language (EAL) students, generative AI (GenAI) offers meaningful support for writing in English, while also introducing a new set of challenges. Supporting EAL students in developing AI literacy is crucial to their growth as confident, adaptable writers, and writing center tutors are uniquely positioned to facilitate this development. This case study explores the experiences of undergraduate Brazilian international students at a small liberal arts college who received writing feedback from both peer writing center tutors and ChatGPT. Findings indicate that students valued the human connection, contextual understanding, and rhetorical support offered by peer tutors, while …

Attending To Present Others: A Framework For Supporting Multilingual Graduate Writers, María P. Carvajal Regidor, Allison Kranek

The Writing Center Journal

Extending prior work on present others, individuals who are not physically present in writing center sessions—such as advisors, colleagues, and peers—but who directly or indirectly impact what happens during consultations (Kranek & Carvajal Regidor, 2021), we argue that attending to present others is one way to more holistically support multilingual graduate writers. Based on data from session recordings, we contend that present others can be used as a framework to train consultants to better address the specific needs of this student population by acknowledging their socialization processes, feedback networks, language needs, and emotions. Then, we share two approaches to consultant …

Implementation Of Machine Learning And Large Language Models For High Entropy Alloys, Ruth E. Mellin

Mechanical Engineering and Materials Science Independent Study

High-entropy alloys (HEAs) are a relatively recent class of materials formed by alloying five or more elements in near-equimolar ratios. Their promising mechanical and thermal properties make them promising for a wide range of applications, however, the vast compositional space presents a challenge for efficient exploration. As a result, robust and structured databases are critical for guiding HEA research and accelerating materials discovery. In this project, a computational pipeline was developed to leverage large language models (LLMs) for extraction of compositional data and relevant properties from existing HEA literature. The program integrates structured prompt design, parallel execution, and deterministic post-processing …

Penggunaan Aplikasi Quizizz Paper Mode Sebagai Media Dalam Evaluasi Pembelajaran Matematika, Dera Karisma Ningsih, Mifdal Zusron Alfaqi, Siti Sadiqyah

Journal of Innovation and Teacher Professionalism

This study aimed to analyze the use of Quizizz Paper Mode as an evaluation medium in mathematics learning. A quantitative descriptive method was used with 28 students as participants. The research instruments included evaluation questions, questionnaires, and structured interviews. The findings showed that Quizizz Paper Mode was effective for evaluating mathematics learning, with an average student score of 78.5 and most scores above 70. Students’ perceptions were highly positive: 80% considered the method easy to use, 85% stated that the questions were clear, and 70% felt more motivated. Teachers also supported its use, noting that Quizizz Paper Mode simplified test …

Media Valit Berbasis Powtoon Untuk Meningkatkan Kemampuan Analisis Fungsi Musik Di Kelas Xi Mipa, Krista Bhakti Samudra, E.W. Suprihatin Dyah Pratamawati, Hartono Hartono

Journal of Innovation and Teacher Professionalism

Learning in the Cultural Arts subject, particularly traditional music at SMA Negeri 1 Wates, still faces a gap caused by the use of unsuitable media. This condition has contributed to low student achievement, with many students failing to meet the minimum passing criterion of 75. This research and development study aimed to produce VALIT media—an animated video about traditional music ensembles—using Powtoon as a learning resource to improve student outcomes. The study followed R&D stages comprising identification of potential and problems, data collection, product design and planning, expert validation in content, media, and language, small-group trials, revision, second-stage validation, large-group …

Benefits And Challenges Of Documentary Video For Social Learning: A Systematic Review, Andhika Yudha Pratama, Evania Yafie, Daya Negri Wijaya, Heni Masruroh

Journal of Innovation and Teacher Professionalism

Social learning refers to the process of observation through which individuals acquire and refine behaviors. It plays a crucial role in helping individuals differentiate between appropriate and inappropriate actions. Documentary videos can enhance this learning process by providing observational opportunities through the figures depicted in the videos. This article reviews studies on the advantages and challenges of using documentary videos in social learning. A systematic literature review method was employed, incorporating 23 studies—18 focusing on the benefits and 5 addressing the challenges of documentary videos. The studies were collected from Google Scholar, Taylor & Francis, Elsevier, Wiley, and SAGE Journals. …

Green Tea (Camellia Sinensis) And Cognitive Health: A Systematic Review Of Mechanisms, Clinical Evidence, And Neuroprotective Potential, Elisha Rosalyn Rosdah, Eka Febri Zulissetiana, Irfannuddin Irfannuddin

Folia Medica Indonesiana

Cognitive decline, often a precursor to neurodegenerative diseases like Alzheimer's, is a growing global health challenge. Green tea (Camellia sinensis), rich in bioactive compounds such as epigallocatechin-3-gallate (EGCG) and L-theanine, has demonstrated promise in supporting cognitive function and reducing cognitive decline. This systematic review evaluated the recent evidence on the effects of green tea on cognition and its underlying mechanisms. The authors conducted a comprehensive search of PubMed, SpringerLink, and ScienceDirect for open-access articles published between January 2020 and April 2025. This systematic review included studies examining the impact of green tea on cognitive function in humans and …

Co-Developing Strategies For Leprosy Management In Malaysia: A Transdisciplinary Research Approach Involving Individuals Affected By Leprosy And Other Stakeholders, Norana Abdul Rahman, Vaikunthan Rajaratnam, Ruth Mh Peters, Marjolein Bm Zweekhorst, Pamela Wright Phd, Ms, Med, Rn, Cen, Karen Morgan, Mohamed Rusli Abdullah

Publications

Despite Malaysia's low leprosy prevalence, new cases continue to emerge in rural and Indigenous communities. National strategies often prioritise elimination and surveillance, while overlooking the needs and challenges of individuals affected by leprosy and those managing their care. This study employed a transdisciplinary research approach, guided by the Dialogue Model, to co-develop context-specific strategies to improve the lives of those affected through participatory engagement with both groups. Conducted across three high-burden states in Peninsular Malaysia, the research involved a desk review and stakeholder mapping, followed by 40 in-depth interviews with affected individuals and other stakeholders. These were complemented by a …

Smart Healthcare Systems Use: A Cross-Cultural Empirical Study Using Valence–Instrumentality– Expectancy Theory, Khaled A. Alshare, Murad Moqbel, Valerie L. Bartelt, Maysoon Sewailem

Information Systems Faculty Publications

In recent years, smart healthcare systems (SHS) spurred by the Internet of things have revolutionized how people manage their health. Despite their numerous benefits, SHS still face many challenges worldwide, including limited user motivation. This study builds on the valence-instrumentality-expectancy theory to examine the motivational factors influencing the use of SHS, while also considering the moderating role of social support. We conducted two studies— one in the United States and the other in Qatar—to assess how well the proposed model applies across different cultural contexts. Our findings show that the model explains users’ motivations to use SHS and the interdependencies …

Reimagining Wpa And Writing Center Administration Centering Minority Writers, Saurabh Anand

The Writing Center Journal

This piece explores the discussions surrounding multilingualism, internationalization, and queerness within writing center studies (WCS). As a branch of writing program administration (WPA), this piece situates above-disciplinary conversations in relation to second language studies (SLS) and broader language and literacy education scholarship to identify areas where disciplinary collaboration and attention are still needed, particularly around questions of professional development, administrative strategies, and pedagogies supporting multilingual writers in writing center spaces. This piece begins by reviewing the major trends, contributions, and key terms in existing literature centering on multilingual writers and SLS to identify ways and areas of collaboration and disciplinary …