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.

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 …

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 …

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 …

Schilder Technique For Vertucci Type Ii Configuration In Maxillary First Molar: A Case Report, Endo Sadewa, Afniati Rachmuddin

Journal of Dentomaxillofacial Science

Abstract

Introduction: This case report describes the endodontic management of a maxillary first molar with a Vertucci type II canal configuration, an anatomical complexity that increases the risk of procedural errors and treatment failure, utilizing the Schilder technique to achieve a complete, hermetic seal.

Case Report: A 29-year-old female patient presented at the Hasanuddin University Dental Hospital with a dislodged filling and pain in the right maxillary first molar (tooth #16). Clinical examination revealed a deep occlusal carious lesion. Periapical radiography showed pulpal radiolucency with no periapical abnormalities and revealed a root canal system consistent with Vertucci type II classification. …

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 …

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 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, …

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 …

Integrasi Project Based Learning Dalam Penguatan Literasi Digital Dan Karakter Pelajar, Alfeina Zakkya Meriatami, Syaad Patmanthara, Dila Umnia Soraya

Journal of Innovation and Teacher Professionalism

The study was motivated by students’ limited willingness to read instructions, search for information about unfamiliar terms, demonstrate digital literacy, respond to situations, care for others, and show respect for teachers. These conditions indicated that the values of the Pancasila Student Profile had not been fully developed and that the instructional process required improvement. The study sought to improve learning through Project-Based Learning (PjBL) using an approach that was more familiar to students. Classroom action research was conducted using PjBL in lessons on professions, entrepreneurship, and business opportunities in the software and game industries. The learning activities were carried out …

From Medical Check-Ups To Risk-Based Health Governance: Reframing Fitness-For-Work And Preventive Health In Modern Health Systems, Kasyunnil Kamal, Iqbal Mochtar

Occupational and Environmental Medicine Journal of Indonesia

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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). …

Control Strategies For 6-Dof Quadcopter Uavs: Cascade Pid Stabilization In White Noise Conditions, An Vo Van, Hung Ha Duy

Makara Journal of Technology

In this study, a cascade PID control structure is proposed and implemented for a 6-degree-of-freedom (6-DOF) unmanned aerial vehicle (UAV) to enhance stability and trajectory tracking capabilities under both noise and non-noise conditions. The controller was designed based on the Tyreus–Luyben tuning method and was evaluated using quantitative metrics, including rise time, settling time, overshoot, and steady-state error. Simulation results on MATLAB/Simulink show that the controller achieves high performance in angular channels (ϕ, θ, ψ) and altitude (z) with a short rise time (< 2s), slight overshoot (< 1%), and nearly eliminated steady-state error. However, the horizontal position channels (x, y) have a longer settling time (~110s) and are sensitive to white noise. Quantitative comparisons with other control methods show that the cascade PID outperforms the standard PID in terms of accuracy and stability, achieving a performance comparable to LQR under noise-free conditions, but is less robust in the presence of noise than advanced methods like SMC and MPC. These results confirm the feasibility of cascade PID in UAV applications and indicate potential future improvements by integrating nonlinear, adaptive, or intelligent control strategies.

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 …

Full Issue, Socio-Legal Review

Socio-Legal Review

No abstract provided.

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 …

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 …

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. …

Patterns Of Rifampicin And Isoniazid Resistance In Pulmonary Rr/Mdr-Tb With Or Without T2dm, May Ira Sopha, Laksmi Wulandari, Musofa Rusli, Dominicus Husada, Susantina Prodjosoewojo

Folia Medica Indonesiana

Tuberculosis (TB) causes approximately[-12pc]AU: Please provide ORCID ID for all authors. 1.6 million deaths each year. The incidence of drug-resistant TB has continued to rise, primarily due to multidrug-resistant tuberculosis (MDR-TB). Drug-resistant TB remains a primary concern in various parts of the world, especially in Eastern Europe, Russia, Asia, and sub-Saharan Africa. This study aimed to analyze the correlation between first-line anti-tuberculosis drug resistance and the presence or absence of T2DM comorbidity in patients with pulmonary RR/MDR TB. This research employed a cross-sectional design, which used secondary data from 2023, obtained from medical records, the Tuberculosis Information System (SITB), 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 …

Economic Resilience As A Mediator: Assessing The Impact Of China’S Grazing Withdrawal Project On Herders’ Well-Being In The Yellow River Source Region, Lihua Zhou

Double Helix Methodology

Investigating how China’s most extensive grassland conservation program, the Grazing Withdrawal Project, impacts herders’ resilience and welfare levels is crucial for promoting sustainable grassland protection and enabling herders to withstand external shocks. However, few empirical studies have linked policy measures, economic resilience, and subjective well-being. Based on 266 questionnaires from the Yellow River Source Region, we constructed an indicator system for evaluating economic resilience and employed multiple linear regression to explore the key variables affecting herders’ economic resilience and subjective well-being under the context of the project and to clarify the mediating effect of resilience in translating government interventions into …