Digital Commons Network^™

Speaker Recognition Systems In The Last Decade – A Survey, Ahmed M. Ahmed, Aliaa K. Hassan

Engineering and Technology Journal

Speaker Recognition Defined by the process of recognizing a person by his\her voice through specific features that extract from his\her voice signal. An Automatic Speaker recognition (ASP) is a biometric authentication system. In the last decade, many advances in the speaker recognition field have been attained, along with many techniques in feature extraction and modeling phases. In this paper, we present an overview of the most recent works in ASP technology. The study makes an effort to discuss several modeling ASP techniques like Gaussian Mixture Model GMM, Vector Quantization (VQ), and Clustering Algorithms. Also, several feature extraction techniques like Linear …

Evaluation Of Gridded Precipitation Products And Machine-Learning Models For Rainfall Prediction In Arid Regions - Case Study In Qassim Region, Ksa, Ragab Rabeiy

Yanbu Journal of Engineering and Science

Receiving rainfall predictions in dry regions such as Saudi Arabia is challenging due to limited observational stations and the temporal and spatial variability of rainfall events. This study explores the performance of nine remote sensing rainfall datasets over the Qassim region of central Saudi Arabia. High-resolution rainfall data from ground-based sources were used to evaluate the accuracy of CHIRPS, TRMM, GPM, PERSIANN, CMORPH, CFSR, TerraClimate, TerraClimate_Monthly, and ERA5 datasets. Performance metrics such as R2, RMSE, MAE, and bias were calculated to quantify the accuracy of each dataset. Analysis revealed that ERA5 generally demonstrated better accuracy than the other datasets with …

Attention-Based Ensemble Deep Learning Model For Arabic And English Fake News Classification, Ameer Alhaq Alshamery

Journal of Intelligent Informatics, Networking, and Cybersecurity

It is difficult to classify articles as fake news since one article may consist of true facts with only some statements being fake. Moreover, classification becomes complicated for the Arabic language owing to its morphology and several ways of spelling, as well as the lack of well-classified and marked data sets. This paper presents an Ensemble Deep Learning Model (EDLM) used for Arabic and English fake news classification. The EDLM consists of CNN, Bi-LSTM with attention, and Bi-GRU with attention networks. Each of them produces one probability of the article, which is then summed up to a final probability via …

Novel Dynamic Batch-Sensitive Adam Optimiser For Vehicular Accident Injury Severity Prediction, Daniel Asare Kyei, Alimatu Saadia-Yussiff, Maame G. Asante-Mensah, Abdul Lateef-Yussiff, Charles Roland Haruna, Derry Emmanuel

Iraqi Journal for Computer Science and Mathematics

The choice of optimiser is important in deep learning, as it strongly influences model efficiency and speed of convergence. However, many commonly used optimisers encounter difficulties when applied to imbalanced and sequential datasets, limiting their ability to capture patterns of minority classes. In this study, we propose Dynamic Batch-Sensitive Adam (DBS-Adam), an optimiser that dynamically scales the learning rate using a batch difficulty score derived from exponential moving averages of gradient norms and batch loss. DBS-Adam improves training stability and accelerates convergence by increasing updates for difficult batches and reducing them for easier ones. We evaluate DBS-Adam by integrating it …

Genpix: A Diverse Dataset For Fake Image Detection, Guessoum Dalila, Benblidia Nadjia, Boumahdi Fatima, Remmide Mohamed Abdelkarim, Nouri Tarek-Amine, Bataouche Azeddine-Lotfi

Iraqi Journal for Computer Science and Mathematics

The rapid advancement of sophisticated generative models has intensified the need for robust fake image detection systems. However, many existing benchmark datasets suffer from limited diversity in content types and generation techniques, constraining the generalization ability of detection models. To address these limitations, we introduce GenPix (Generalized Pixels), a comprehensive dataset encompassing over 80,000 images spanning diverse categories, including faces, objects, and scenes, generated by multiple state-of-the-art models such as Generative Adversarial Networks (GANs) and diffusion-based architectures. The dataset includes samples from different generation methods to ensure broad coverage of fake image characteristics.

GenPix provides a realistic evaluation environment that …

Eyolov8-Msaff: An Enhanced Object Detection Algorithm With Multi-Scale Attention And Feature Fusion For Small And Dense Object Detection In Uav Applications, Mohammed Hasan Mutar, Morteza Valizadeh, Alaa Hussein Abdulaal, Mehdi Chehel Amirani

Iraqi Journal for Computer Science and Mathematics

The proliferation of unmanned aerial vehicles (UAVs) has necessitated the development of sophisticated object detection algorithms capable of handling the unique challenges posed by aerial imagery. Traditional detection methods often struggle with small object sizes, dense distributions, and complex backgrounds characteristic of UAV-captured scenes. This research presents EYOLOv8-MSAFF (Enhanced YOLOv8 with Multi-Scale Attention and Feature Fusion), a novel deep learning architecture specifically engineered for superior performance in UAV-based object detection tasks. The proposed methodology integrates four innovative components: a Hybrid Spatial-Channel Attention Mechanism (HSCAM) that processes attention information in parallel rather than sequentially, an Adaptive Multi-Scale Feature Fusion Module (AMSFFM) …

A Novel Hierarchical Multi-Scale Attention Mechanism For Enhanced Yolov8 Performance In Unmanned Aerial Vehicle-Based Small Object Detection, Mohammed Hasan Mutar, Morteza Valizadeh, Alaa Hussein Abdulaal, Mehdi Chehel Amirani

Iraqi Journal for Computer Science and Mathematics

Object detection in Unmanned Aerial Vehicle (UAV) images presents significant challenges due to the prevalence of small and densely packed objects, as well as variations in scale, orientation, and lighting conditions. This paper introduces a novel object detection algorithm, Hierarchical Multi-Scale Attention YOLO (HMSA-YOLO), which is an improved version of YOLOv8 designed to address these challenges. The proposed method incorporates a novel Hierarchical Multi-Scale Attention (HMSA) module, a Bidirectional Feature Pyramid Network (BiFPN) for enhanced feature fusion, a modified loss function, and an adaptive anchor optimization technique. The HMSA module effectively captures both channel and spatial dependencies at multiple scales, …

Dynamic Media Device Power Management Using Proximity Inferred From Wireless Signals, Nikita Agarwal

Defensive Publications Series

Power management for media devices can be inefficient when a user is listening to audio content but is not actively viewing the display, potentially leading to increased energy consumption. Systems and methods can manage display power by inferring user proximity. The technology can utilize wireless signal characteristics, such as a received signal strength indicator from a user's personal peripheral device (e.g., a smartwatch, smartphone, or earbuds), to establish virtual zones around a media playback device. When the system infers that a user has moved from a viewing zone to a listening zone, it can automatically deactivate the display panel while …

Implications Of Similarities And Differences Amongst Media Literacy Skills And Trust Across Communities Of Color, Erica Weintraub Austin, Nadia Ishrat Alamgir, Alexandra Elenitsa Fil, Sultana Ismet Jerin, Di Mu, Albert Junior Nyarko, Folake Racheal Okor, Pearl Omolara Oladele, Hae Yeon Seo, Andrew D. Sutherland

Journal of Media Literacy Education Pre-Prints

A 2020 survey of U.S. adults found that nonwhite respondents tended to report lower levels of media literacy than white respondents. However, their media literacy skills were associated with better COVID-19 knowledge and less acceptance of COVID-19 disinformation. This secondary analysis of the dataset (N=1264) explored how aspects of media literacy and media trust varied across communities of color. No significant differences in online information efficacy were found. White respondents scored higher than Hispanic/Latiné and Native American/Indigenous respondents on media literacy for source, and higher than Black and Hispanic/Latiné respondents on media literacy for content. White respondents also …

Selective Factors Impacting Charter High School Enrollment, Nathan Marshall

Theses and Dissertations

This study examined factors influencing high school choice among Utah families, comparing parent priorities between charter and traditional public high schools. Using one-way ANOVA with Tukey honestly significant difference (HSD) post hoc comparisons, parental priorities were analyzed across personal, school community, and academic factors. Parents choosing traditional public high schools rated personal and school community factors significantly higher, emphasizing relationships and school climate, while charter high school parents rated academic factors significantly higher, favoring rigor and instructional quality. Charter parents' priorities were not uniform, however, but varied significantly by school model, suggesting that the charter-versus-traditional divide masks meaningful differences within …

Modern Psychology And The Religious Experience: Faith Or Just Institutionalization?, Darin Challacombe

Psychology Faculty Publications

A literature review of Paloutzian’s (1996) “Religious Experience” chapter in Invitation to the Psychology of Religion is presented by outlining and critiquing works cited. Specifically, the combination of three distinct theories (e.g., schemas, attribution, and attachment) is presented and evaluated. Using these three theories, empirical research that has been done in this field can be explained. However, the main component of these theories has to be present: faith. Faith needs to be seen as being the opposite of institutionalization; rather, events that are religious must have faith and cannot be completely explained by institutionalization concepts of groupthink and manipulation. Further, …

Spae: Deciphering Cell Cycle Dynamics And Cell States In Single-Cell Rna-Seq Data, Jiahao Yi, Jiajia Liu, Peng Guo, Yuan-Nong Ye, Xiaobo Zhou

Faculty, Staff and Student Publications

Rapid advances in single-cell RNA sequencing (scRNA-seq) technology have enabled the investigation of gene expression changes at the single-cell level, particularly for elucidating the heterogeneity among cells and complex biological processes. This technique reveals subtle molecular differences within individual cells, thereby offering a unique viewpoint for the investigation of cell cycle progression, cellular differentiation, and disease pathogenesis. However, accurately identifying and analyzing cell cycle dynamics in scRNA-seq data remains challenging due to the complexity of the data and the subtle differences between cell states. To address this challenge, we developed the integrated Sinusoidal and Piecewise AutoEncoder (SPAE), an autoencoder-based piecewise …

Predictive Modeling Of Readmission, Mortality, And Resource Utilization After Surgical And Transcatheter Aortic Valve Replacement, Raymond J. Martin

LSU Master's Theses

Aortic stenosis is the most prevalent valvular heart disease in North America. Its definitive treatments—surgical aortic valve replacement (SAVR) and transcatheter aortic valve replacement (TAVR)—carry a substantial burden of unplanned hospital readmission, which worsens patient outcomes, strains hospital capacity, and creates financial risk under value-based payment programs. Prior predictive work has largely focused on binary classification of 30-day readmission after TAVR. Such studies typically report predictor effects as odds or hazard ratios without validating patient-level probabilities, and neglect both the timing of readmission and the resources it consumes. To address these gaps, this thesis develops and empirically validates a unified, …

Reflections: More Than Memories, Jerry L. Pitts

Faculty Publications and Presentations

What if the memories of your life could become windows into God's faithfulness?

Reflections: More Than Memories is a yearlong devotional journey born from real-life experiences, heartfelt ministry, and a lifelong walk with Christ. Drawing from personal reflections shared over many years, Dr. Jerry L. Pitts invites readers to discover how God works through everyday moments, difficult seasons, unexpected blessings, and enduring faith.

Each daily devotional includes Scripture, a thoughtful reflection, and a prayer designed to encourage spiritual growth and a deeper relationship with God. Through stories of perseverance, worship, gratitude, loss, service, hope, and redemption, readers are reminded that …

Lawyers Behind The Game: How Team General Counsel Shape The Future Of Sports, Jeffrey S. Moorad Sports Law Journal Symposium

Jeffrey S. Moorad Sports Law Journal (1994 - )

No abstract provided.

Reining In The Private Nondelegation Doctrine: Examining The Constitutionality Of The Horseracing Integrity And Safety Act In Light Of Fcc V. Consumers' Research, Kathryn Dorans

Jeffrey S. Moorad Sports Law Journal (1994 - )

No abstract provided.

Politics On The Podium: The International Olympic Committee's Selective Enforcement Of Country Bans, Olivia Jaffe

Jeffrey S. Moorad Sports Law Journal (1994 - )

No abstract provided.

Rural Youth Activism Amid Multi-Arena Contestations Of Infrastructure, Industry, And Conservation Landscapes, Rajib Gandi, Lala M. Kolopaking, Didin S. Damanhuri, Sofyan Sjaf

Forest and Society

Rural youth in Indonesia are increasingly entangled in overlapping pressures of industrial expansion and ecological conservation that redefine local livelihoods and participation. In Cigombong, Bogor, West Java, where the Lido Special Economic Zone borders Gunung Gede Pangrango National Park, youth confront intertwined political-economic and ecological exclusions that marginalize them from both development and conservation benefits. While state narratives portray youth as agents of rural transformation, many remain symbolically included but materially excluded from decision-making. This study examines how rural youth activists exercise agency and negotiate structural power within these contested arenas, analyzing how such interactions shape their livelihoods, participation, and …

Supporting Recovery: Intersections Of Health, Belonging, And Help Seeking After A Campus Mass Casualty Event, Sharon Jalene, Jason A. Ciccotelli, Lauren Gatto, Christian Ison, James Carbajal, Andrew Hooyman

Physical Therapy Faculty Articles and Research

Mass casualty events (MCE), such as campus shootings, can severely impact the mental health of students, faculty, and staff. This study examined the psychological effects of an MCE at a minority-serving institution and explored how sense of belonging, cardiorespiratory fitness, and treatment preferences influenced recovery. To measure the impact of the MCE on mental health an anonymous survey was administered four to five months post-MCE to university students, faculty and staff. Within the survey, participants were asked to retrospectively report their depression (PHQ-9) and anxiety (GAD-7) symptoms as they recalled them two weeks prior to the MCE, and as they …

Shichin Chang V. Attorney General United States Of America

2026 Decisions

Agency

Kantilal Patel V. Attorney General United States Of America

2026 Decisions

Agency

Erik Yarmey V. University Of Pennsylvania

2026 Decisions

USDC for the Eastern District of Pennsylvania

Staff Education To Improve Nurse Competency In Phq-9 And Gad-7 Screening Using A Standardized Behavioral Assessment In An Outpatient Mental Health Setting, Ernest Ogbeide

Walden Dissertations and Doctoral Studies

Evidence-based practice was the basis for this quality improvement project, which involved developing and implementing a staff education program to enhance nurses' competency in administering, scoring, and interpreting behavioral health screening tools (PHQ-9 and GAD-7) for outpatient mental health services. Variability in competency amongst clinical staff to use these standardized screening tools for evaluating anxiety and depression was identified as a problem, as there was no structured, evidence-based education and competency validation process for clinical staff to use, which has the potential to decrease early identification of anxiety and depression among patients and impact clinical assessment and decision-making. The practice …

A Mathematical Decision-Making Framework For Athlete Development In A Collegiate Taekwondo Community: Prioritizing Coaching Interventions Using Statistical Analysis And The Analytic Hierarchy Process, King Harold A. Recto, Hazel Jade L. Antonio, Jhyrald Anthony P. Dalida

Electronics, Computer, and Communications Engineering Faculty Publications

Athlete development within collegiate sports communities requires informed decisions regarding the prioritization of coaching interventions and allocation of developmental resources. However, such decisions are frequently guided by experience and intuition, limiting opportunities for systematic and evidence-based decision-making. This study develops a mathematical decision-making framework for athlete development by integrating statistical analysis and the Analytic Hierarchy Process (AHP) within a collegiate taekwondo community. Data were collected from 25 collegiate taekwondo athletes who satisfied established eligibility criteria, including participation in University Athletic Association of the Philippines (UAAP) competitions during the previous three seasons. Athletes evaluated coaching practices across five dimensions: Training and …

Usa V. Gordian Ndubizu

2026 Decisions

USDC for the District of New Jersey

Accessible Media Literacy Education: A Universal Design For Learning Framework For Including Disabled And Deaf Learners, Author Information Removed

JMLE Submissions Open for Review

Media literacy education has built a robust evidence base for interventions that strengthen resilience to misinformation, yet its pedagogies presuppose a nondisabled learner: participants with disabilities are rarely reported, materials are rarely accessible by design, and disability is absent from the field's equity turn. Disabled and deaf learners consequently face a double exclusion, from the media environment by inaccessibility and from media education by protectionist safeguarding. This conceptual article develops the Accessible Media Literacy Education (AMLE) framework through a four-step synthesis of three literatures: media literacy education, research on disabled and deaf people's media practices, and Universal Design for Learning. …

Christopher Warman V. Local Yokels Fudge Llc

2026 Decisions

USDC for the Western District of Pennsylvania

"It's Probably Like A Web": Complex Relationships Between Pain And Mental Health Among Bisexual+ Women With Chronic Pain, Aster Harrison, Mansha Mirza

Department of Occupational Therapy Faculty Papers

INTRODUCTION: Bisexual+ women experience higher rates of both mental illness and chronic pain when compared to either straight or lesbian women. Their experiences of the relationship between their mental health and chronic pain remain underexplored. This article presents an intersectional Interpretive Phenomenological Analysis of the experiences of six bisexual+ women with chronic pain.

METHODS: Each woman completed two semi-structured interviews. Interviews were analyzed with Interpretive Phenomenological Analysis, beginning with in-depth case study analysis of each person's interviews before moving to comparison across cases.

RESULTS: Results indicated a complex web of multidirectional relationships between mental health and chronic pain. These relationships …

Marketing Strategies To Enhance Awareness And Attract International Patients In The Medical Tourism Industry Of Trinidad And Tobago, Natasha Rachel Rochford-Chance

Walden Dissertations and Doctoral Studies

Disseminating inadequate service information can limit a business's market appeal and hinder its growth. Business leaders must include comprehensive service information in their marketing strategies, as inadequate service information can make a business seem unappealing to potential clients, undermine competitive position, reduce market share, and diminish profitability. The purpose of this qualitative pragmatic inquiry was to explore the marketing strategies used by medical tourism business leaders in Trinidad and Tobago to attract international patients and increase profitability. The participants were eight medical tourism business leaders with experience in implementing marketing strategies. McCarthy's marketing mix theory of product, price, place, and …

Stability Of The Apogee Galvanic Cell Sensors In The Utah State University Biological Oxygen Demand System, Tia Lawrence, Carson Richards, Bruce Bugbee

Techniques and Instruments

The Utah State University Crop Physiology Laboratory has developed a six-chamber biological oxygen demand (BOD) system to quantify respiration (Kusuma & Bugbee, 2020). Like all instruments, accuracy depends on the ability to get a zero in empty containers. Here we report the signal output and zero stability in empty containers over a five-day interval.