Prevalence Of Psychological Distress Among Parents Of Children With Autism In Al-Diwaneyah Province/Iraq, Noor Abdulmahdi Alrabeeah, Abdulzahra Al-Khafaji

Al-Qadisiyah Medical Journal

Background: Families suffer from a lot of psychological pressure in accepting their child’s illness, especially if the disorders are affecting their mental and psychological development, such as autistic spectrum disorder. Aim: The study aimed to evaluate the extent of psychological distress among parents of children with autistic disorder and its association with the socio-demographic characteristics of their children with autism.Material and Method: A descriptive analytical study conducted during the period from January 15, 2023, to December 1, 2023, on a sample of voluntary participants consisting of 120 parents in Al-Diwaniyah Teaching Hospital. Data were collected through the use of a …

Official Development Assistance (Oda) In Nigeria: A Political Economy Perspective, Robert Idoko Ogwola

Bullion

This study examines the effects of Official Development Assistance (ODA) on Nigeria’s economic growth, social welfare, and political development from 1960 to 2024. Using thematic content analysis, the findings reveal that ODA’s impact has been marginal, falling short of expectations. Instead of fostering economic growth and strengthening social and political systems, ODA often generated unintended outcomes. The study recommends that Nigeria reduce dependence on foreign aid, strengthen national institutions, tackle corruption, and reform public debt management to achieve sustainable development that aligns with relevant targets of the Sustainable Development Goals (SDGs).

Navigating Trump Tariffs In Africa: The Role Of Regional Economic Integration, Baba N. Yaaba

Bullion

The global economy is shifting away from free trade toward protectionism and economic nationalism, from multilateralism to unilateralism. This is evidenced by both tariffs and non-tariff measures taken by major global powers, which arise from political populism, economic insecurity, and strategic competition among them. This study analyses this trend, emphasising Trump's recent tariffs and their attendant implications for the global economy. The study argues that African Regional Economic Integration offers a shield to the continent if pursued vigorously. With vast potential in Africa, strategic investments, good governance, and inclusive policies can drive growth. At the same time, cooperation, such as …

Adapting To Price Fluctuations: A Case Study Of Street And Market Vendors In Tarlac City, Gavie A. Mariñas, Roselyn V. Magapuro, Ivan Karlo S. Pating

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

This study examined the experiences and adaptive strategies of vendors in response to price fluctuations using a qualitative case study approach. Focusing on a bounded case of six purposively selected street and market vendors, the study identified patterns of resilience, negotiation, and vulnerability by emphasizing how vendors deal with uncertainty in a fluctuating economic environment. One of the most significant findings was a considerable drop in sales across vendors following price increases, resulting in fewer client visits. Despite their resourcefulness, vendors have challenges due to limited government assistance, which frequently forces them to rely primarily on their own abilities. Based …

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

Journal of Comparative & International Higher Education

No abstract provided.

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 …

A Study Of Perceptions, Readiness, Benefits, And Barriers Related To Exoskeleton Adoption In New Jersey’S Warehousing Sector, Terry Asante

Theses

The warehousing industry in New Jersey remains a vital component of the region's logistics network, employing more than 200,000 workers who routinely engage in lifting, bending, overhead reaching, and other physically demanding activities. These exposures contribute to musculoskeletal disorder (MSD) rates that exceed national averages, particularly affecting the low back and shoulders. Nationally, MSDs account for an estimated $420 billion in combined direct and indirect costs each year, underscoring the need for interventions that can effectively reduce biomechanical strain. Industrial exoskeletons have emerged as a potential solution, with prior research demonstrating reductions in muscle activation, perceived exertion, and fatigue during …

Simulation-Based Assessment Of Operational Strategies For Visibility-Responsive Variable Speed Limits, Jiyeon Ban

Theses

Managing speed limits in adverse weather is crucial for highway safety. Variable Speed Limit systems aim to adjust speed limits according to weather conditions, yet many traffic management centers depend on manual operator judgment. Rapid visibility fluctuations, along with operators handling multiple responsibilities, can cause delays in responding to deteriorating conditions, increasing the risk of rear-end collisions. A VSL control strategy is developed using real-time Road Weather Information System data to enable more proactive and effective adjustments. Microsimulation analysis indicates that visibility-responsive VSL operations can reduce conflicts by 59% in fog. Applying VSL only to fog-affected sections yields clear safety …

Evaluating Stormwater & Carbon Benefits Of Urban Street Trees, Anthony J. Rodriguez Diaz

Theses

Urban areas experience a multitude of environmental challenges, including flooding and air pollution. In response to these pressures, urban forests have emerged as an essential nature-based strategy to enhance resilience and reduce climate-related risks. The implementation and expansion of urban street trees further contribute to this effort by mitigating stormwater runoff and reducing atmospheric carbon emissions.

Fortunately, advances in environmental modeling have made it increasingly possible to quantify these ecosystem services using specialized software. The United States Department of Agriculture (USDA) Forest Service's i-Tree suite exemplifies this progress. The software provides a comprehensive set of tools designed to quantify environmental …

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 …

Review Of Documentary Making For Digital Humanists, Adam Boggs

Open Educational Resources - Reviews

No abstract provided.

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 …

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 …

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. …

Health Risk Assessment (Hra) In Home-Based Ironing Businesses: Risk Identification, Intervention, And Evaluation In Johar Baru District, Central Jakarta, Heru Alfares, Irawadi Darmaputra, Marsen Isbayuputra, Muhammad Ilyas

Occupational and Environmental Medicine Journal of Indonesia

Background Home-based ironing businesses in Johar Baru District, Central Jakarta, are part of the informal sector, vulnerable to health risks due to suboptimal working conditions. This study aims to identify, assess, and control health risks through a Health Risk Assessment (HRA) approach.

Methods Research methods include direct observation, interviews, environmental measurements, health screenings, and ergonomic surveys using the BRIEF (Baseline Risk Identification of Ergonomic Factor) instrument.

Results The results indicate that the temperature in the ironing area reaches 33°C, exceeding the comfort standard, and that 80% of workers have dark yellow urine, indicating a high risk of dehydration. Risk assessment …

Returning To Work On Chef With Graves’ Disease: A Case Report, Izzatul Abadiyah, Dewi Sumaryani Soemarko

Occupational and Environmental Medicine Journal of Indonesia

Background Graves’ disease has adverse effects on quality of life, because of somatic psychiatric symptoms and an inability to work. Chefs face many occupational hazards that can aggravate certain medical conditions, worsen the disease, and pose safety risks at work. This case report aims to assess the returning-to-work evaluation and program for a chef with Graves’ disease.

Case Description A forty-seven-year-old Indonesian male who was diagnosed with Graves’ disease from characteristic clinical features and biochemical abnormalities was admitted to the hospital with shortness of breath. TSH concentration was 0.001mU/L, FT4 concentration was 2.85 ng/dL, hemoglobin level was 10.6 g/dL, and …

Burden Of Musculoskeletal Disorders, Associated Risk Factors And Perceptions On Prevention Among Airport Baggage Handlers, Ashish A. Trivedi Md, Alice Lai, Mahmud Tasim, Nik Tuah

Occupational and Environmental Medicine Journal of Indonesia

Background Airport baggage handlers are involved in manual handling of heavy loads, predisposing them to the risk of developing work-related musculoskeletal disorders (MSDs). This study aimed to determine the burden of self-reported MSDs and their associated factors among airport baggage handlers in Brunei Darussalam.

Methods In this cross-sectional study, we used a self-administered questionnaire to collect demographic and work profile data. We also incorporated the Nordic Musculoskeletal Questionnaire to assess body-part MSD symptoms over a 12-month period. Baggage handlers’ perceptions of the likelihood of specific work tasks related to MSDs and of preventative measures were also sought.  The data were …

The Role Of Politicians In The Literature Industry (From The Establishment Of The Abbasid State To The End Of The Fourth Century Ah) “Analytical Descriptive Study”, Abdul Rahman Abdul Hameed Al-Sharqawi

Journal of Arts and Social Sciences

This study uncovers the role of political patrons, caliphs, emirs, viziers, and commanders, in shaping literature from the founding of the Abbasid state to the end of the fourth century AH. It examines how rulers supported literati and assesses the effects of that patronage on literary production. Using a descriptive-analytical method grounded in a survey and cataloguing of major literary works and poetry collections, the research describes the literary landscape, delineates its institutional and social frameworks, and identifies features of political care for literature. Findings demonstrate that rulers cultivated poetic talent through encouragement, stipends, and rewards; assigned writers and poets …

Assurance And Empathy: Key Drivers Of Patient Satisfaction And Loyalty In Public-Insured Dental Services, Andi Mim. Amir, Hasanuddin Thahir, Lenni Indriani, Fuad H. Akbar, Eddy H. Habar, Irene E. Rieuwpassa

Journal of Dentomaxillofacial Science

Abstract

Objective: This study aimed to analyze the impact of dental healthcare service quality on patient satisfaction and loyalty among Social Health Insurance Administration Body (BPJS) participants at the Dental Clinic of Dr. Sumantri Hospital, Parepare, Indonesia, one of main referral hospital in South Sulawesi, Indonesia

Methods: A cross-sectional quantitative study was conducted involving 160 patients selected through convenience sampling. Data were collected using an Indonesian-adapted SERVQUAL questionnaire that assessed five dimensions of service quality (tangibility, reliability, responsiveness, assurance, and empathy), patient satisfaction, and loyalty. Descriptive statistics, reliability analysis, and multiple linear regression were used for data analysis.

Results: Service …

Analysis Of The Relationship Between Stunting And Dental Caries Patterns In Children Aged 6–12 Years, Adam M. Hamudeng, Fajriani, Nurhaeda, Qaroba A. Yasa, Andi S. Permatasari

Journal of Dentomaxillofacial Science

Objective. This study aims to determine the relationship of stunting to the pattern of dental caries in elementary school children aged 6-12 years in Gowa Regency. Material and method. This type of research is an observational analytical study using a cross-sectional approach. This study is divided into several stages, namely 1) Measurement of weight and height 2) Interviews using questionnaires and 3) Examination of the oral cavity to determine the pattern of dental caries in children based on the ICDAS classification. Result. The results showed that stunting and nonstunting children in the right permanent first molar of maxilla were dominant …

Comparative Analysis Of Groundwater Quality Based On Chemical Parameters Around Final Disposal Sites Using Open Dumping And Sanitary Landfill Methods, Shiesil Rizqia Amadia, Mika Vernicia Humairo

Preventia: The Indonesian Journal of Public Health

The main environmental issue at landfill sites is the seepage of leachate into the ground, which contaminates surrounding aquifers. Communities residing within one kilometer of landfill sites are at high risk of environmental pollution. This study aimed to analyze differences in groundwater quality around landfills applying open dumping and sanitary landfill methods, and to compare groundwater quality at safe and unsafe distances from these sites. The research was conducted around the Cipayung landfill in Depok (open dumping) and the Talangagung landfill in Kepanjen (sanitary landfill). The study adopted an analytical observational approach using a cross-sectional design. The independent variables included …

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. …

The Role Of Climate And Population Density In The Spread Of Dengue Fever: A Spatial Analysis Of Padang City 2022–2024, Nailul Hikmi, Aria Gusti

Preventia: The Indonesian Journal of Public Health

In 2023, Padang city had a dengue fever incidence rate of 46.5 per 100,000 population, an increase compared to the previous year. Climate change, with the transition from the dry to the rainy season, contributed to a surge in dengue fever cases. This study aims to determine the relationship between environmental factors and the incidence of dengue fever in Padang City from 2022 to 2024. This study uses an ecological study design with a sample of all dengue fever cases recorded by the Padang City Health Office. Climate data was obtained from the Indonesian Agency for Meteorological, Climatological, and Geophysical …

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 …

Regulatory Cooperation On Cross-Border Personal Data Flows Between China And Malaysia: A Comparative Legal Analysis Under Rcep And Cptpp Frameworks, Shan Deng, Rozanah Ab Rahman, Mariani Ariffin

Indonesia Law Review

China and Malaysia have demonstrated strong momentum in the development of their digital economy. However, the management and protection of personal data in cross-border flows have emerged as major challenges, underscoring the urgent need for enhanced regulatory cooperation to ensure data security and circulation efficiency. This study employs a qualitative research methodology, with a focus on comparative analysis and documentary research, to examine the similarities and differences in data governance rules under the frameworks of the Regional Comprehensive Economic Partnership (RCEP) and the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP). It further examines the role and challenges of these …

Governing Cyberterrorism In Indonesia: Resilience And Gaps In The Draft Cybersecurity Law (Ruu Kks 2025), Eko Setyo Utomo

Indonesia Law Review

Indonesia’s accelerating digital transformation and persistent terrorist threats expose both resilience gains and governance gaps in its cybersecurity framework. This article examines the Draft Law on Cybersecurity and Resilience (RUU KKS 2025), which consolidates the authority of the National Cyber and Encryption Agency (BSSN) and strengthens protections for critical information infrastructure. While the bill enhances technical resilience and institutional coordination, it remains silent on cyberterrorism, leaving statutory, institutional, and international gaps. Drawing on cybersecurity theory, securitization theory, and hybrid warfare theory, the study argues that resilience without terrorism-specific provisions is strategically insufficient. Comparative analysis with the United Kingdom’s Terrorism Act, …