Digital Commons Network^™

Low-Carbon Green Hydrogen Strategies For Sustainable Development In Senegal: A Wind Energy Perspective, Astou Sarr, Mamadou Simina Dramé, Serigne Abdoul Aziz Niang, Abdoulkader Ibrahim Idriss, Haitham Saad Mohamed Ramadan, Ali Ahmat Younous, Kharouna Talla, John Robert Bagarino, Marissa Jasper, Ismaila Diallo

Faculty Research, Scholarly, and Creative Activity

This study presents the first comprehensive techno-economic assessment of wind-based green hydrogen production across Senegal, a country highly dependent on fossil fuel imports. Using a novel integrated approach combining 30 years of ERA5 reanalysis data (1993–2023), turbine performance modeling and electrolyzer comparison, it fills an important gap for renewable hydrogen development in West Africa. Wind resources were analyzed at multiple altitudes, revealing strong potential in both coastal and northeastern regions, particularly during the dry season, with higher wind speeds at higher turbine heights. Four turbines (Vestas_150, Goldwind_155, Vestas_126 and Nordex_N100) and two electrolyzer types (alkaline and PEM) were evaluated. The …

Ending Gender-Based Sexual Violence On Canadian Campuses: Peer Educator Perspectives, Jason A. Laker

Faculty Research, Scholarly, and Creative Activity

Gender-based and sexual violence (GBSV) remains a pervasive problem in higher education, disproportionately affecting marginalized students and undermining their safety, well-being, and academic success. Post-secondary institutions (PSIs) increasingly rely on peer educators (PeerEds) to deliver prevention and response programs, leveraging their shared student experience to foster trust and engagement. This study explores the motivations and experiences of GBSV PeerEds in Canada and the United States, revealing how personal trauma, institutional critique, and allyship drive their involvement. Findings highlight the emotional labour, secondary trauma, and systemic constraints PeerEds face, alongside their contributions to campus culture and advocacy. The study critiques institutional …

Physical Design (Pd) Modeled As A Directed Acyclic Graph (Dag) For Advanced Analytics, Avijeet Somani, Sagar Karandikar, Parthasarathy Ranganathan, Akanksha Jain

Defensive Publications Series

Physical design (PD) within very-large-scale integration (VLSI) is complex, iterative, and time-consuming, featuring extended design cycles and requiring significant manual debugging that is heavily reliant on individual experience of the engineer. This disclosure describes techniques to model the entire PD lifecycle of a VLSI design as a conceptual graph by leveraging historical PD data. The conceptual graph can be employed to represent the entire design history as a directed acyclic graph (DAG). The DAG can help capture the cause-and-effect relationships between jobs with sequential edges representing stage transformations and iterative refinement edges documenting causes for re-runs. The DAG can be …

Grid Realistic Voltage Drop Patterns For Structural Testing Of Integrated Circuits, Aditya Girish, Praphulla Pandey, Srinivas Vooka, Vaibhav Gupta

Defensive Publications Series

During the testing of integrated circuits (IC), simultaneous switching of instances in a region of the IC increases transient current and causes a voltage drop (also referred to as IR drop). Such voltage drops can interfere with proper testing of the chip and complicate fault detection. This disclosure describes techniques that leverage power-aware analysis to predict the locations of IR hotspots that may arise during ATPG testing of integrated circuits. Compared to traditional structural analysis, the techniques improve the accuracy of prediction of IR hotspots, refine switching activity constraints for ATPG, and generate patterns with realistic power. The techniques produce …

Mutational Analysis Of Human Norovirus Vp2 Elucidates Critical Molecular Interactions For Virus Assembly, Janam J Dave, Sue E Crawford, Robert L Atmar, Khalil Ettayebi, B V Venkataram Prasad, Mary K Estes

Faculty, Staff and Students Publications

Human noroviruses (HuNoVs) are the leading cause of viral gastroenteritis, with ≥80% of infections caused by the GII genogroup. HuNoVs are non-enveloped, with an icosahedral capsid composed of 90 dimers of the major capsid protein VP1, which encloses a minor structural protein, VP2, and a VPg-linked, positive-sense ssRNA genome. Although the atomic structure of the icosahedral capsid formed by VP1 is well characterized using crystallography and cryo-electron microscopy analyses of HuNoV virus-like particles, the structures and the localization of VP2 and VPg inside the capsid, how they are incorporated into the capsid, and whether this process requires interactions between them …

Chemotherapy-Induced Adipo-Lineage Cell Senescence Drives Bone Loss, Ganesh Kumar Raut, Taylor Malachowski, Anupama Melam, Renata Ramalho-Oliveira, Taylor Holt, Xianmin Luo, Zhangting Yao, Douglas V Faget, Qihao Ren, David G Denardo, Sheila A Stewart

2020-Current year OA Pubs

Chemotherapy-induced bone loss is a debilitating and common side effect of cancer treatment, though its underlying mechanisms remain poorly understood. Here, we show that, despite the systemic administration of chemotherapy, cellular senescence is restricted to bone marrow adipo-lineage cells specifically Cxcl12-abundant reticular (CAR) cells and bone marrow adipocytes (BMAds). Induction of senescence within these populations promotes RANK ligand (RANKL)-mediated osteoclastogenesis, leading to significant bone loss. Notably, we find that inhibition of the p38MAPK-MK2 pathway suppresses the senescence-associated secretory phenotype (SASP), including RANKL production abrogating bone loss. Furthermore, treatment with the senolytic combination dasatinib and quercetin (D + Q) selectively eliminates …

Multi-Step Biochemical Reactions Using Hethydrogel Platform, Anonymous

Defensive Publications Series

A universal platform for the dropletization of plate-based single-cell multiomic assays.

Health Education On Operative Cataract Care: A Scoping Review, Luh Putu Prima Widya Ridwanti, I Ketut Swarjana, I Gusti Ngurah Made Kusuma Negara, Putu Gde Yudara Sandra Putra

Jurnal Epidemiologi Kesehatan Indonesia

Cataract is the leading cause of blindness worldwide, requiring surgery and appropriate patient and family education to ensure proper operative care. This literature review aimed to identify health education on operative cataract care. The type of this study is a scoping review using the PubMed database, ScienceDirect, and other sources that were published in the last 10 years (2015-2024). The PICO model (P: patients and families; I: audiovisual, booklets, leaflets, and others; C: standard care or education; O: knowledge and skills in cataract operative care) was used. The keywords used to search for articles are cataract surgery AND video OR …

Ethical Considerations In Implementation Research: A Scoping Review Of Key Principles, Unintended Consequences, And Emerging Ethical Guidance, Emmanuel K Tetteh, Nwaliweaku Anidi, Gifty Aboagye-Mensah, Michelle Doering, Elvin H Geng, Byron J Powell, Mark D Huffman, Alison L Antes

2020-Current year OA Pubs

BACKGROUND: As dissemination and implementation research advances, research teams seek guidance on how to apply existing ethical standards to implementation research, given its unique study designs, multi-level intervention targets, and associated risks. This scoping review examines ethical principles and concerns in implementation research, identifies potential risks and unintended consequences, and explores ethical frameworks guiding responsible conduct.

METHODS: We searched PubMed, Web of Science, and Google Scholar for relevant literature published between January 2010 and January 2024. The search utilized a combination of standardized terms and keywords, including bioethics, ethics, research standards, responsible research, health services research, and dissemination and implementation …

Analisis Cakupan Penemuan Kasus Tuberkulosis (Treatment Coverage) Berdasarkan Faktor Demografis Dan Komorbiditas Di Puskesmas Ciracas Tahun 2023-2024, Anggie Hardiyanti, Helda Helda, Mufti As Siddiq M. Irzal, Mareska Monica

Jurnal Epidemiologi Kesehatan Indonesia

Tuberculosis (TB) remains a major global and national health burden, with case detection coverage still below target in several regions. The success of TB control programs largely depends on achieving adequate treatment coverage. In East Jakarta, Ciracas Primary Health Center recorded a treatment coverage of 75% (497 cases) in 2023, the lowest among ten centers, and an increase to 84% (509 cases) in 2024, though still below the national target of 90%. To analyze TB case detection coverage based on demographic factors and comorbidities (diabetes mellitus and Human Immunodeficiency Virus) at Ciracas Primary Health Center during 2023–2024. This study …

Top Stories Of 2025, New York Law School

NYLS Community News

No abstract provided.

Promoting Trustworthy File Sharing: A Community-Governed Dapp Approach, Chong-Gee Koa, Swee-Huay Heng, Ji-Jian Chin

School of Engineering, Computing and Mathematics

In the cyber digital world, file sharing has become a cornerstone of global connectivity, facilitating the exchange of media, information, and resources among people worldwide. File sharing is already a norm in our daily lives, with many existing platforms allowing users to download shared content without verification or with only basic verification. Hence, the trustworthiness of the shared content is a concern. Meanwhile, blockchain technology has evolved over the last 15 years since its introduction, renowned for its decentralised, secure, and transparent system enabling efficient transactions, traceability across various industries. To address the mentioned open issue, we introduce a decentralised …

Designing Inclusive Immersive Experiences: Intergenerational Codesign Of Heritage And Underwater Extended Reality For Older Adults, Marius N. Varga, Oksana Hagen, Rory Baxter, Alejandro Veliz Reyes, Ray B Jones, Amir Aly, Dena Bazazian, Gaudl Swen

School of Nursing and Midwifery

Despite rapid advances in immersive Extended Reality technologies, creating inclusive and accessible experiencesfor older adults remains challenging. Many Extended Realityapplications fail to account for the physical, cognitive, andergonomic needs of older users, resulting in low engagement anddigital exclusion. Cultural heritage and underwater environmentsoffer rich contexts for meaningful interaction and wellbeing.This study explored how intergenerational codesign can informthe development of immersive Extended Reality applicationsfor older adults. Two case studies were undertaken within theICONIC project: a Heritage Extended Reality experience recreating Cotehele, a National Trust heritage site, and an UnderwaterTelepresence experience simulating marine environments. Theobjective was to identify design principles supporting accessibility, …

Kejadian Luar Biasa Gondongan Di Sd Islam X Samarinda, 2024, Rudy Agus Riyanto, Irfansyah Baharuddin Pakki, Mela Sabena, Meli Pasiakan, Erlina Erlina, Rima Andriani

Jurnal Epidemiologi Kesehatan Indonesia

Mumps outbreaks are a public health issue that still frequently occur in elementary school settings, particularly among children with low immunization coverage. Therefore, a comprehensive epidemiological understanding is needed as a basis for control. This research aims to describe the epidemiological picture and causative factors of the mumps outbreak that occurred at Islamic Elementary School X in Samarinda City in 2024, using a case series design. The outbreak occurred from April to October 2024, while epidemiological data collection and case verification were conducted from December 2nd to 8th, 2024. The analysis uses surveillance data, field observations, and questionnaires administered to …

Hubungan Kehamilan Usia Remaja Dengan Kelahiran Prematur Di Rsud Cengkareng Jakarta Barat Tahun 2022: Sebuah Studi Kohort Retrospektif, Anna Triana, Sudarto Ronoatmodjo

Jurnal Epidemiologi Kesehatan Indonesia

Premature birth is leading causes of neonatal mortality. According to the World Health Organization (WHO), global premature birth rates reached 9.9% in 2020, it’s rising compared to preterm birth rates in 2010. One of the risk factors for preterm birth is the mother's age, which pregnant adolescents are more at risk of giving birth to preterm babies due to physiological, psychological, and socioeconomic immaturity. This study is an analytical study with a retrospective cohort design to determine the relationship between adolescents pregnancy and preterm birth. This study was conducted in Cengkareng General Hospital West Jakarta using patient’s medical record data. …

Perbandingan Faktor Risiko Gangguan Kesehatan Gigi Dan Mulut Pada Usia 20-59 Tahun Berdasarkan Wilayah Di Indonesia: Analisis Survei Kesehatan Indonesia (Ski) Tahun 2023, Khadijah Qurrata Ayun, Asri Adisasmita Prof

Jurnal Epidemiologi Kesehatan Indonesia

Oral and dental health is one of the indicators of health, well- being, and quality of life. In addition, poor oral health can increase the economic burden, including treatment costs, loss of work productivity, and worsen the burden of other diseases. Globally, the average prevalence of dental and oral diseases is around 45%. In 2023, dental and oral health problems in Indonesia reach 57,6%. This study aims to analyze risk factors for dental and oral health disorders among people aged 20-59 years based on regions in Indonesia. This study uses a cross- sectional design. The secondary data used is data …

Psychological Resilience As A Predictor Of Occupational Stress Among Teaching Staff In Course X, Indah Kusuma Wardani, Fajaria Nurcandra, Dr. Dyah Utari, Afif Amir Amrullah

Jurnal Epidemiologi Kesehatan Indonesia

Workplace stress is a common condition that may be triggered by the demands of professional involvement. Psychological resilience functions as a protective factor that enables individuals to maintain their level of work engagement despite experiencing job-related stress arising from work–life imbalance. This study aimed to examine the relationship between psychological resilience and occupational stress among teaching staff at Course X. The research employed a quantitative approach with a cross-sectional design, utilizing chi-square testing and Cox regression analysis, with a total sample of 98 participants. Data collection was conducted from April to June 2024. The instruments used included the Workplace Stress …

Socio-Demographic Determinants Of Hospitalization Severity Among Type 2 Diabetes Mellitus-Related Hospitalization Visits In Indonesia: A Cross-Sectional Analysis Of Using Bpjs Health Secondary Data, 2023, Nadia Putri, Asri C. Adisasmita, Fitria Fitria, Sely Anggraini

Jurnal Epidemiologi Kesehatan Indonesia

Type 2 diabetes mellitus (T2DM) is a chronic disease with high prevalence and contributes significantly to the burden of inpatient care in Indonesia. The severity of T2DM-related hospitalization as classified under the INA-CBGs system, is an important indicator for assessing disparities in access to care and the health system’s response to vulnerable populations. This study aims to analyze the relationship between socio-demographic characteristics and the severity of T2DM-related hospitalization visits based on 2023 Social Security Administering Body for Health (BPJS Health) data. This study employed a cross-sectional design using secondary data from the 2023 BPJS Health Sample Data. The unit …

Gender, Mental Health Symptoms, Loss To Clinic, And Viral Non-Suppression 6 Months After Hiv Care Initiation Among A Cohort Of People With Hiv In Cameroon, Angela M Parcesepe, Lindsey M Filiatreau, Peter Vanes Ebasone, Anastase Dzudie, Marcel Yotebieng, Kathryn Anastos, Eric Pefura-Yone, Annereke Nyenti, Denis Nash

2020-Current year OA Pubs

BACKGROUND: People with HIV (PWH) experience high levels of mental health or substance use disorders (MSDs) which may compromise HIV treatment outcomes. Differences in the relationship between MSDs and HIV treatment outcomes by gender remain understudied.

METHODS: We conducted interviews with 426 PWH aged ≥ 21 years initiating HIV care in Cameroon between June 2019 and March 2020. Clinic data and laboratory results were used to ascertain loss to clinic and viral non-suppression six months after HIV care initiation. We used log binomial regression models to assess the relationship between symptoms of depression (PHQ-9 scores > 9), anxiety (GAD-7 scores > 9), …

An Exploratory Approach For Teaching Systems Of Linear Odes With Real Repeated Eigenvalues, Biyong Luo, Li Zhang

CODEE Journal

In this paper, we present a project that aims to pique students' interest and facilitate their engagement in learning. Students will be encouraged to take an active role in their learning of systems of linear ODEs with real repeated Eigenvalues. Through discussion and completion of a set of guided questions given in the project, students will gain a deeper understanding of the topic. Also, students will use the technology tool Bluffton App to draw solution trajectories in a phase plane, and then learn necessary skills for explaining the movements of the trajectories and their long term behaviors. This project may …

Survey Of Wi-Fi For Iot: Architectures, Performance, And Future Directions, Maryam Sami Majeed, Narmin Majid Dahham

Al-Farahidi Expert Systems Journal

The rapid expansion of Internet of Things (IoT) applications—ranging from smart healthcare and industrial automation to smart cities—demands reliable, secure, and scalable wireless connectivity. While much of the literature emphasizes low-power alternatives such as Zigbee and NB-IoT, the role of Wi-Fi in IoT remains underexplored. This paper presents a systematic survey of IEEE 802.11 standards, analyzing their evolution, performance, and security mechanisms within IoT environments. Using a structured review of academic and industry sources (2015–2024), we highlight Wi-Fi’s strengths in throughput and ecosystem integration, alongside limitations in energy efficiency and range. Contributions include: (1) a comparative review of Wi-Fi standards …

Deep Learning Approaches For Fatigue Detection: A Traditional Review Of Models, Datasets, And Applications, Ahmad Ali Skaiky, H. Ayad

Al-Farahidi Expert Systems Journal

Fatigue is an important factor affecting human safety, effectiveness and health in various industries, but it still is a challenge to accurately detect it. Recent advances in deep learning fuel the emergence of vision-based, physiology-based, and hybrid fatigue detection systems with better accuracy and real-time monitoring. We cover work up until 2025 and perform a meta-analysis of recent models, datasets, and methodologies. Face- and appearance-based—building system upon facial expression, eye closure, and head pose information—is highly effective but sensitive to image variation caused by illumination change (lighting condition change) or occlusions. Physiological systems based on EEG, ECG and HRV approaches …

Adaptive Energy-Aware Communication For Healthcare Iot Systems: A Simulation-Based Approach, Huthaifa Ayad Al-Ani

Al-Farahidi Expert Systems Journal

Healthcare Internet of Things (HIoT) systems play a pivotal role in continuous patient monitoring, yet they face persistent challenges related to limited energy capacity and strict latency requirements. This study proposes an adaptive, energy-aware communication strategy for HIoT devices that minimizes energy consumption while ensuring rapid data delivery during critical health events. Using the publicly available UCI Smart Heart Monitoring System dataset (2,200 real patient records), a Python 3.11-based simulation framework was developed utilizing NumPy, Pandas, and Matplotlib libraries. The proposed adaptive transmission model dynamically adjusts data transmission frequency in response to real-time physiological states and is directly compared with …

An Efficient Forecasting Tool Using Machine Learning In Optimal Power Flow: A Case Study Of Iraqi Weather, Haider Jouma Touma, Muhamad Mansor

Al-Farahidi Expert Systems Journal

In the electricity sector, the hasty precise decisions must be taken by grids operators to guarantee a sufficient level of system`s resilience during various contingencies. In practice, the optimal power flow (OPF) is a substantial monitoring and assessment tool to meet invulnerable operation measures. This article examines an optimal power flow for the day ahead, considering the intermittent nature of renewable energy sources (RES) influenced by weather conditions. It incorporates machine learning into power system operations to accurately forecast the meteorological data (such as temperature, and solar irradiance) that directly impact the power output from solar photovoltaic generators. This enables …

A Python-Based Simulation Framework For Real-Time Environmental Data Logging In Educational Iot Applications, Huthaifa Ayad Sabri

Al-Farahidi Expert Systems Journal

Real-time environmental data logging represents a fundamental component of Internet of Things (IoT) systems, yet reliance on platforms such as Arduino, ESP32, and Raspberry Pi introduces financial and technical challenges in resource-constrained educational settings. This study presents a Python-based simulation framework that eliminates the need for physical hardware by emulating sensor data generation, UART-style communication, structured CSV logging, and real-time visualization. The framework produces temperature and humidity readings using controlled randomness (random values within defined limits) and dynamically plots trends with matplotlib, thereby replicating realistic sensor variability. It further models serial communication behavior to strengthen learners’ understanding of embedded data …

Evaluating Vision Transformers In End-To-End Steering Angle And Speed Prediction Of Autonomous Vehicles Using Monocular Camera Video Input On Highways, Karam Darwish, Majd Ali

Al-Farahidi Expert Systems Journal

End-to-end autonomous driving systems have recently gained significant interest due to the rapid advancement of deep learning algorithms. This progress has enabled the development of intelligent agents that can drive vehicles like or potentially better than humans in some scenarios. This study investigates using Vision Transformers (ViTs) in end-to-end autonomous driving systems to predict vehicle steering angle and speed through behavior cloning. The paper suggests two models: a single-head ViT-MLP architecture that jointly predicts steering angle and speed and a multi-head model designed with two separate heads: one for steering angle prediction and the other for speed prediction. The models …

Artificial Intelligence In Credit Risk Assessment: Towards More Accurate And Efficient Financial Decision-Making, Jaafar Salman

Al-Farahidi Expert Systems Journal

Credit risk assessment for customers represents one of the core foundations that support the stability of the financial system and promote sustainable economic growth. It plays a crucial role in guiding financing decisions within financial institutions by enabling the evaluation of customers’ ability to assume and manage financial risk. This capability enhances the efficiency of resource allocation and contributes to achieving a balanced approach between economic development and institutional financial safety.

However, the process of credit risk assessment is inherently complex due to the interplay of numerous factors, including customers’ financial indicators and behavioral attributes. This complexity necessitates the use …

Asasy: A Sentiment Analysis Corpus Of Syrian Dialect Facebook Posts, Azab Ahmad, Majd Ali

Al-Farahidi Expert Systems Journal

A massive amount of textual data is shared each day through the different social media platforms. Analyzing this data to understand the sentiment of users (positive, negative, natural) about various topics and products is a challenging task when it comes to analyze Arabic text due to the morphological diversity and complex grammatical structure of this language, and is more challenging when analyzing social media text with the great diversity in writing style and dialects. Due to the lack of Arabic resources for Sentiment Analysis and the increasing need to create dialectical resources. In this paper, we present a Syrian dialectical …

How The Coherent Detector Works In Spread Spectrum Signals, Louay Habib Skef, Aymen Mohammed Khodayer, Jenan J. Abdulkareem

Al-Farahidi Expert Systems Journal

This research investigates the detection of direct sequence spread spectrum (DSSS) signals, comparing the performance of a traditional energy detector with that of a cross-correlation detector. While energy detectors are widely used, they suffer from reduced sensitivity at low signal-to-noise ratios (SNR) and require accurate noise power estimation. In contrast, the cross-correlation detector utilizes the processing gain of DSSS signals to achieve higher detection accuracy without needing prior noise estimation. Using MATLAB simulations, Receiver Operating Characteristic (ROC) curves were generated for both detectors. Results show that the cross-correlation detector achieves up to 30% higher probability of detection (PD) at a …

Analysis Of Exhaust Gases From Marine Propulsion Plants Using Diffraction-Based Analytical Methods, Maarouf Ahmad, Mokdad Hayawi Rahman

Al-Farahidi Expert Systems Journal

This research deals with one of the most important environmental security issues of energy production media and equipment used in the marine field, primarily marine diesel engines used to propel ships. Initially, information was collected regarding the specific standards for the quantities and components of harmful substances emitted with the exhaust gases from marine Diesel and Gase Turbin engines.

Then, modern methods for monitoring exhaust gases were reviewed, which depend on the diffraction analysis of the stream of materials present in these gases and the gas transmitters used for this purpose. The method presented in this research depends on determining …