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The Indonesian Guardianship And Indonesian Private International Law, Tiurma Mangihut Pitta Allagan, Dinda R. Himmah, Amirah Hisana

Indonesia Law Review

The increasing of number of cross-border legal relationships, especially family legal relationships, is inevitable. For instance, it is also commonly accepted for a foreign national to have a legal-bond with children from another country, which is also known as intercountry adoption, guardianship and fostership. This paper aims to analyze and classify guardianship involving international dimension within the jurisdiction of Indonesia. The examination of this legal question would be on the basis of Indonesian Private International Law (PIL). The choice of law and the choice of jurisdiction are the basic analysis, further, as to whether the guardianships are in line with …

A Novel Mathematical Model Of Hiv Transmission Incorporating The Effects Of Treatment And Pre-Exposure Prophylaxis: Sensitivity Analysis And Numerical Simulations, Erick Manuel Delgado Moya

Mathematical Modelling and Numerical Simulation with Applications

Human immunodeficiency virus (HIV) continues to be a public health problem in many countries of the world, and Pre-exposure prophylaxis (PrEP) is a preventive method for HIV, which has shown great efficacy and is in use worldwide. This work presents a new mathematical model for HIV transmission incorporating PrEP use and evaluates the impact of PrEP along with its increasing use in a population. The construction of the model takes into account three forms of diagnosis: diagnosis of individuals in risky sexual contact, diagnosis after risky contact (diagnosis in the undiagnosed infected compartment), and diagnosis associated with attempting to enter …

Comprehensive Study Of Pediatric Migraine Based On Patient Data Of Demographic, Characteristic, And Treatment Outcomes, Shaima’A Dakhel Abdulhassan, Safa’A Dakhel Abdulhassan

Al-Qadisiyah Medical Journal

Introduction: Migraine is a common neurological disorder in pediatric consultations. It is often disabling and influencing negatively the quality of life of pediatric migraine patients (PMPs). Aim: This study aimed to characterize the demographic profile of 98 PMPs from outpatient and private clinics in Al-Diwaniyah City, Iraq. This study describes demographic distribution, migraine characteristics, associated symptoms, familial history, trigger factors, and treatment outcomes of PMPs. Patients and Methods: The dataset had the following variables: age, sex, duration and severity of the migraines, frequency of attacks, associated symptoms, family history, trigger factor, types of treatments, and follow-up duration. Descriptive statistics were …

The Role Of Il-13 Serum Levels With Its Genetic Polymorphism In The Risk Of Developing Chronic Rhinosinusitis, Baneen Mohammed Ali Hussein, Ibrahim Abdulmajeed Mustafa

Al-Qadisiyah Medical Journal

Background: Chronic rhinosinusitis (CRS) represents a prolonged inflammatory condition of both nasal cavity and paranasal sinuses which extends more than 12 weeks without any sign of improvement. This condition affects work attendance along with productivity levels and quality of life detrimentally. Objective: To find out whether IL-13 rs1800925 C/T-1055 genetic polymorphism and its serum levels have a risk value for CRS disease. Methods: Three groups have been used as the basis for a case-control study. Thirty patients with a history of chronic rhinosinusitis with nasal polyp; thirty patients with a history of chronic rhinosinusitis without nasal polyp; and thirty healthy …

The Influence Of Ai Use On Innovativeness In Higher Education Institutions, Joanna Zimmer, Katarzyna Tworek

European Management Studies

Purpose: The aim of the study is to analyse the influence of AI tools use on innovativeness through Employees’ Dynamic Capabilities (EDC) among Higher Education Institutions (HEIs), taking into account regulation concerning AI and its possible moderating impact on that relation.

Design/methodology/approach: A critical literature review was combined with empirical research. The empirical research was conducted using a survey questionnaire on a group of 529 university employees from four European countries: France, Poland, Spain, and Great Britain. To ensure a diverse dataset, responses were collected from multiple sources, including an internal collaborative network and a purchased respondent panel. Data …

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 …

Heathammer: Effects Of Thermal Stress On Dram Technology Reliability Using Rowpress And Rowhammer, Filip Roth Tronnes-Christensen

Theses

Modern DRAM scaling has reduced cell capacitance and increased thermal sensitivity, making disturbance-based faults such as RowHammer and RowPress increasingly significant reliability and security concerns. RowHammer induces bit flips through repeated row activations, while RowPress does so by holding a wordline open for an extended duration; both exploit inherent capacitive coupling and leakage mechanisms in dense DRAM arrays. This thesis introduces HeatHammer, a thermally assisted disturbance exploit that interleaves RowPress and RowHammer operations to amplify charge leakage and trigger row-traversing bit flips. Using the FPGA-based DRAM-Bender test platform, HeatHammer is evaluated on four commercially available DDR4 modules from different manufacturers …

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 …

Real-Time Deep Learning Detection Of Toraja Carving Motifs Using Yolo11m For Cultural Heritage Preservation, Herman Herman, Farid Wajdi Mufti, Abdul Rachman Manga, Haidawati Nasir

Knowledge Engineering and Data Science

Toraja carvings are an important part of Indonesia’s cultural heritage, rich in symbolic, aesthetic, and philosophical meaning. However, the identification and preservation of carving motifs still rely on subjective, time-consuming manual processes, limiting scalability and inconsistent knowledge transmission. From a Knowledge Engineering and Cognitive Data Science perspective, this challenge highlights the need for mechanisms that can transform visual cultural artifacts into structured, machine-interpretable knowledge. This study investigates the use of the YOLO11m model as a data-driven approach for modeling cultural knowledge through automated detection of three Toraja carving motifs: pa_tedong, pa_kapu_baka, and pa_manu_londongan using original images collected directly from traditional …

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. …

The Legal System Of Invalid And Annulled Sentences, Maryam Bint Salem Bin Saif Al-Wuhaibiyah, Saif Bin Nasser Bin Abdullah Al-Maamari, Hafidh Jaafar Ibrahim

Journal of Arts and Social Sciences

The Constitutional law guarantees the right to litigation for all and allocates the form by which individuals claim their rights, which is the lawsuit, to a set of guarantees that guarantee the smooth conduct of the dispute. It specifies a set of formalities so that individuals can be assured of the validity of the procedure taken by both parties. However, the procedures for examining the dispute or the sentences issued It may be affected by a group of defects that lead to a violation of the right subject to the sentence, so the law has organized the description that affects …

Analysis Of Demand And Supply Of Radiotherapy Services At Dr.M.Djamil General Hospital Padang, Viola Shinta Dewi, Catur Suharinto, Zarni Zamzahar, Yulhaini Yulhaini

Preventia: The Indonesian Journal of Public Health

Around 10 million cases of cancer are discovered in the world per year, and it will continue to increase. Half of cancer cases require radiotherapy as treatment therapy. Dr. M. Djamil General Hospital, Padang, in 2021, has only 1 Cobalt radiotherapy. This study aimed to analyze the demand and supply of radiotherapy services at Dr. M. Djamil General Hospital, Padang. This descriptive study was conducted at Dr. M. Djamil General Hospital, Padang from May to December 2022. Data were analyzed using univariate analysis to describe the variables studied. This study reported that 241 patients were registered and received radiotherapy services. …

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 …

Floating Nuclear Power Plants On The Horizon. Do We Need A Revised Brussels Convention On The Liability Of The Operators Of Nuclear Ships?, Jakub Handrlica

Indonesia Law Review

Adopted in 1962, the Brussels Convention on the Liability of the Operators of Nuclear Ships has been considered an obsolete instrument for the last 60 years. In light of renewed interest in floating nuclear power plants (FNPPs), this article revisits the regime of this half-forgotten Convention and calls for its modernisation. The fact is that a robust legal framework for liability and compensation must accompany any prospective deployment of FNPPs. This article argues that adopting a Revised Brussels Convention will help address these challenges. This article aims to identify the reasons for this modernisation and to outline its significant features. …

The Contribution Of Design Thinking To Reducing Excessive Sensitivity To Criticism Among Athletes In Selected Track And Field Events, Liqaa Abdulzahra Obaid

Modern Sport

The study sought to develop two measurement scales—design thinking and excessive sensitivity to criticism—and to determine their levels among athletes participating in selected track and field events. In addition, to examine the role of design thinking in reducing excessive sensitivity to criticism among these athletes. The methodology is descriptive, employing a correlational approach was adopted. The population consisted of athletes in selected track and field events representing clubs in Baghdad Governorate, youth category, who were actively training during the local sports season. The population included 186 athletes distributed across various sprint distances, hurdle races of different distances, shot put, discus …

Analysis Of Students' Problem-Solving Skills In Work And Energy Based On Gender, Miftahuljannah Muslimin

Jurnal Pendidikan Sains

This study analyzes students’ problem-solving skills on Work and Energy using a quantitative descriptive design, profiling performance across five indicators without causal claims. Participants were 85 students from SMA Negeri 1 Barru, South Sulawesi (30 males, 55 females) who answered five essay items scored on useful description, physics approach, specific application, mathematical procedure, and logical progression. Overall means were 57.73 (females) and 60.73 (males); an independent t-test showed p = .333 > .05 with Cohen’s d = 0.22 (small), indicating no meaningful overall difference. By indicator, ANOVA showed no gender differences (α > .05) except for logical progression (p = .029). …

Laughter In Adversity: Exploring The Meaning, Motivations, And Social Uses Of Dark Humor Among Filipino College Students, Jermilen S. Murillo, Criztine A. Capin, Monica R. Mesa, Robyn Nicole A. Torres, Chrizelle M. Villanueva

Sinaya: A Philippine Journal for Senior High School Teachers and Students

This study explores how Filipino Generation Z college students in Metro Manila utilize dark humor as a coping mechanism for stress management, mental health resilience, and navigating social dynamics. Drawing on a descriptive phenomenological approach, in-depth interviews with nine students aged 21 to 23 years old revealed that dark humor operates as both an emotional outlet and a cultural expression rooted in Filipino values. Themes showed that its use is mindful and context-sensitive, shaped by pakikiramdam (emotional sensitivity) and pakikipagkapwa (relational empathy), allowing participants to reframe grief, ease emotional burdens, and build intimacy within trusted circles. These practices reflect pantawang …

Penerapan Design Thinking Dalam Merancang Media Pembelajaran Pada Mata Pelajaran Ipas Kelas Iii Sekolah Dasar, Dina Lestari, Khikmah Mijil Pawestri, Lina Yekti Oktiningtiyas, Rizky Yuliana Pratista, Tia Sulistiani

Journal of Innovation and Teacher Professionalism

Observations of third-grade students at SD Negeri Gedongtengen were conducted using in-depth interviews within a Design Thinking approach to explore their fears, difficulties, and concerns about learning. The findings indicated that several factors influenced their learning process. Interviews were conducted with two high-achieving and two lower-achieving students. The results showed that learning outcomes were affected not only by internal factors but also by external factors such as learning methods, instructional media, and learning styles. Students experienced difficulty understanding unfamiliar terms in Natural and Social Sciences, particularly in the topic of animal life cycles. Therefore, an engaging and useful learning medium …

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 …

Quantum Readiness In Cybersecurity Education: A Framework For Preparing The Next Generation In The Post-Quantum Era, George Antoniou

Faculty and Staff Publications & Presentations

This framework addresses the critical gap between post-quantum standards and workforce readiness. Shor's algorithm demonstrates that sufficiently powerful quantum computers can break the cryptographic foundations of internet security. While the cryptography research community has developed quantum-resistant algorithms, educational institutions have not prepared students to implement these solutions. Recent surveys show fewer than half of organizations have begun planning for post-quantum cryptography (PQC) transitions (Entrust Cybersecurity Institute, 2024; U.S. Government Accountability Office, 2023; (ISC)², 2024). The NICE Framework (Newhouse, Keith, Scribner, & Witte, 2017) outlines the knowledge and skills that cybersecurity professionals should possess. The framework omits post-quantum cryptography entirely. Organizations …

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 …

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 …

The Concept, Dimensions, And Measurement Of Innovative Competitive Behavior Of Chinese Scientific And Technological Personnel, Rui Li

Double Helix Methodology

Introduction: While competitive behavior in innovation activities is increasingly prevalent in practice and actively promoted by policymakers, it remains an under explored area in academic research. To bridge this gap, we introduce the concept of “innovative competitive behavior,” providing a conceptual definition and clarifying its theoretical boundaries, rooted in social comparison theory from psychology. Methods: A mixed-methods approach was employed to systematically examine this construct. First, a qualitative study guided by grounded theory was conducted to explore the core dimensions of the construct. Subsequently, a quantitative phase involved the development and validation of a psychological scale through questionnaire surveys and …

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 …

Experimental Analysis Of Droplet Deformation Dynamics In Combined Dc Electric And Shear Flow Fields Using Dpiv, Ayad Ibrahim Khlewee

Al-Esraa University College Journal for Engineering Sciences

This paper presented a systematic study of such droplet deformation at the intersection of uniform DC electric field and hydrodynamic shear flow, in which we focused on conductivity ratio (R) and permittivity ratio (S), describing their influence. The results demonstrate that droplet dynamics is extremely sensitive to the regime: under DC only, either elongation or compression depending on whether R > S or R S, similarly to classical EHD predictions. Under shear-only conditions, deformation was dictated by the balance of elongational stresses (EC) and rotational stresses (RC), with increasing capillary number (Ca) leading to progressive elongation and oscillatory orientation dynamics. When …

Generative Ai For Method Development In Analytical Chemistry: A New Paradigm In Experimental Design And Optimization, Yasir Fathi Mahmood

Al-Esraa University College Journal for Engineering Sciences

The fast development of artificial intelligence (AI), especially generative AI models, is changing the environment of analytical chemistry. As classical method generation in analytical methods relies on manual trial-and-error methodology as well as statistical methods, generative AI is a new paradigm with automated generation of experimental methodology and optimization. In this paper, the authors discuss the use of generative AI-based technologies, including large language models (LLMs) and neural network-based generators, to create new, efficient, and customized methods of analysis. The paper examines existing applications, technology frameworks, and issues and offers a roadmap with regards to the future incorporation of generative …