Digital Commons Network^™

A224: 15–17-Year-Old Student Swimmers Undergoing High-Altitude Training On Water Load Characteristics, Jiayi Lyu, Yuqi Wang, Xinyi Li

International Journal of Physical Activity and Health

With the continuous improvement of swimming competition level, high-altitude training, as a scientific and effective training method, has received attention from swimmers. Both professional teams and amateur sports schools give widespread attention to high-altitude training. The purpose of this study is to explore the characteristics of the three-week high-altitude training load of 15-17 male student swimmers and analyze whether it is effective for competition results. Ten male student swimmers (national level one or above) aged 15-17 years old were selected as the subjects and underwent a three-week high-altitude training at an altitude of 1900 meters. Method: The research method uses …

A207: Ai Era And Sports Equity: A Sociological Perspective, Jieqi Shi

International Journal of Physical Activity and Health

This study explores the impact of artificial intelligence (AI) on sports equity and inclusion, focusing on its use in training, officiating, and talent selection. AI includes technologies like AI-driven training tools and systems, such as VAR. While AI can enhance access to sports resources, it may also worsen existing inequalities. The goal is to examine how AI influences fairness in sports and promotes inclusion, particularly in university sports, while considering its effects on athlete development, decision-making, and fan engagement across social groups. A qualitative approach was used to examine AI in university sports. Participants include sports students, faculty, coaches, and …

A225: Applications Of Digitalization, Ai, And Big Data In Sports Science Research And Practice, Yixiao Zhang, Yue Xu, Zhihua Yin

International Journal of Physical Activity and Health

The rapid advancement of digitization, artificial intelligence (AI), and big data has revolutionized various industries. In the field of sports and exercise science, these technologies provide comprehensive insights into athlete performance, injury prevention, and personalized training (Smith & Johnson, 2022; Lee, 2021). However, the benefits and applications of these technologies in sports and exercise science remain understudied. Therefore, this study provides a systematic literature review of the impact and applications of digitization, AI, and big data in sports and exercise science. The search strategy followed the PEO framework and the PRESS checklist. Five databases were used for searching: ACM Digital …

A232: The Voice-Inclusive Physical Education Class: Primary School Physical Education Teaching Mode Under New Curriculum Standards, Qing Luan

International Journal of Physical Activity and Health

Current physical education classes in primary schools face a lot of challenges, such as the low student participation, a dull class environment, and a lack of students’ voice, which has a negative impact on teaching effect and students’ physical and mental health. This study employed the action research method to organize the physical education classes in primary school based on the New Curriculum Standards. The study encouraged primary school students to actively express their understanding and feelings about physical education activities and guided them to enthusiastically participate in the design of teaching content and activities to construct the “voice-inclusive” physical …

A234: The Challenge Of Physical Education Teachers In Primary And Secondary Schools, Ning Li, Jialin Liu

International Journal of Physical Activity and Health

Physical health in primary and secondary schools is the foundation for students' comprehensive development, and school sports are an important way to promote students' physical health. The implementation effect of school physical education largely depends on the professional competence and educational ability of physical education teachers. The problems faced by physical education teachers in the new era: the number and structure of physical education teachers; Challenges in teaching philosophy and abilities; The conflict between teaching pressure and the system; the disconnect between professional competence and training needs. Countermeasure: Optimize the construction of the physical education teacher team; Promote the reform …

A021: Analysis Of The Impact Of Ski Diagonal Stride Technique On Rehabilitation Treatment Effects, Xinming Tang

International Journal of Physical Activity and Health

The ski diagonal stride technique is a crucial component in cross-country skiing, engaging complex muscle coordination, enhancing cardiopulmonary function, and improving balance. In the realm of rehabilitation, traditional methods often face limitations. This study is dedicated to exploring how the physiological factors associated with this technique affect the rehabilitation treatment outcomes. By doing so, it aims to optimize rehabilitation strategies and ultimately enhance patients' physical capabilities and quality of life. Method: Eighty patients between the ages of 30 and 60, all in need of lower-limb rehabilitation, were evenly distributed into an experimental group and a control group. The experiment was …

A036: “The Champion Gene” Actn3 And Cold Adaptation: An Environmental Regression Model And Systematic Review, Mingrui Wang, Mi Zhou, Jianchun Weng, Longtianjiao Liu, Xiaoyu Jiang, Lijun Shi

International Journal of Physical Activity and Health

The ACTN3 R577X (rs1815739) genetic polymorphism is a significant research topic in sports genetics, with the XX genotype exhibiting a marked geographical gradient in different populations worldwide. The frequency of the XX genotype is notably higher in cold, high-latitude regions compared to tropical areas (e.g., Sweden 25%, Russia 14.2%, while Kenya 1%). These phenomena suggest that the ACTN3 R577X polymorphism may be closely related to cold adaptation. This study aims to analyze the evolutionary mechanisms, molecular regulation, and potential application of the ACTN3 R577X polymorphism in winter sports talent selection. Using the genomic database Ensemble and the WWF terrestrial ecoregion …

A053: Research On Adolescent Obesity Experience, Zhenfei Zhu

International Journal of Physical Activity and Health

The alarming prevalence of overweight and obesity among adolescents has emerged as a significant public health challenge. Since the World Health Organization (WHO) identified obesity as a global health priority in 2018, it has evolved from an individual concern to a medical condition requiring intervention, with profound implications for both individuals and society. Adolescent obesity is intricately linked to various aspects of health, including social, emotional, behavioral, and cultural dimensions. There is a notable lack of qualitative research on obesity experiences in China. Conducting qualitative studies to explore the life experiences, motivations, and physical activity patterns of students can deepen …

In Search Of Resilience: A Case Study Of Leadership In Challenging Times In An International School Setting, Bradylee W. Mcgeough

Dissertations

This study investigated the leadership of a long-serving head of an international school during six periods of significant crisis affecting the school. The study was conducted at a private school in Islamabad, Pakistan, often referred to locally as The American School.

The study paid particular attention to the development of resilience in the leader and in the follower group during and after periods of crisis. Initially designed as a heuristic inquiry, in practice the study emerged more as a collection of oral histories, although heuristic inquiry methods were employed throughout the study. Polkinghorne’s conception of narrative analysis also …

Influence Of Rotation And An Inclined Magnetic Field For The Peristaltic Flow Of Viscoplastic Fluid Through A Porous Medium, Khalid Khaleefah Jassim, Mohammed Salim Ramadhan

Baghdad Science Journal

This research deals with the influencing of rotation and an inclined magnetic field on the analysis of blended convection heat transfer within a viscoelastic fluid that flows peristaltically through an inclined tapered asymmetric channel, that traversing in a porous media. The foundational equations of continuity, momentum, and energy were established in Cartesian coordinates. Furthermore, a range of dimensionless numbers, including Reynolds number, Brandt number, and Froude number, were introduced to regulate the governing equations in their imensionless forms. The governing equations were further simplified under the presumption of long wave lengths and small Reynolds numbers. The perturbation method was utilized …

Developing Campus Accurate Access Control System Using Network Facilities And Internet Services, Najmadin Wahid Boskany

Baghdad Science Journal

With the fast innovation and transformation that happen in our lives, security systems play an essential role in guaranteeing our safety and have become important part of protecting assets, houses, and campuses. The potential for theft and intrusions is increasing every day, making efficient access control for visitors coming in and out of facilities more critical. This paper focuses on developing an accurate access control system for special campus entrance doors with sensitive missions. The proposed system controls the entry of individuals to the campus by permitting authorized persons to enter while denying unauthenticated persons and notifying security guards via …

Bioinformatics-Inspired Secure Video Encryption Using Chaotic Maps And Light Streaming Algorithms, Rajaa K. Hasoun, Rasha S. Ali, Ahmed G. Hameed, Ghassan H. Abdul-Majeed

Baghdad Science Journal

The Traditional encryption methods, such as AES, can be too slow for large video files, necessitating the development of faster and more efficient solutions for real-time video security. This research aims to enhance video security during transmission by developing a novel video encryption algorithm that is both fast and robust, specifically designed to handle large video datasets efficiently. The proposed video encryption algorithm integrates lightweight streaming algorithms for enhanced speed, modern cryptographic techniques, and chaotic maps for heightened security. The encryption process involves three key steps: Dividing the video into frames and scrambling/encrypting each frame, employing three innovative techniques: vertical …

Protocol For The Development Of The Who Gestational Weight Gain Charts, Thais Rangel Bousquet Carrilho, Olufemi Taiwo Oladapo, Jennifer A. Hutcheon, Giovanna Gatica-Domínquez, Kathleen M. Rasmussen, Monica C. Flores-Urrutia, Richard Kumapley, Ӧzge Tunçalp, Dang Bahya-Batinda, Amel A. Fayed, Annick Bogaerts, Aris T. Papageorghiou, Cinthya Muñoz-Manrique, Dayana Rodrigues Farias, Eric Ohuma, Harshpal Sachdev, Hayfaa A. Wahabi, Helena J. Teede, Molin Wang, Nandita Perumal Phd

Faculty Publications

Introduction Gestational weight gain (GWG) is an important indicator of maternal nutrition to be monitored during pregnancy. However, there is no evidence-based tool that can be used to monitor it across all geographic locations and pre-pregnancy body mass index (BMI) categories. The WHO is undertaking a project to develop GWG charts by pre-pregnancy BMI category, and to identify GWG ranges associated with the lowest risks of adverse maternal and infant outcomes. This protocol describes all the steps that will be used to accomplish the development of these GWG charts.

Methods and analysis This project will involve the analysis of individual …

Simulation Study On Nh3 Combustion And NoX Emissions Under Gas Turbine-Relevant Conditions, Kumeesha Arumawadu, Braxton Wiggins, Ziyu Wang

Mechanical and Aerospace Engineering Student Publications and Presentations

Ammonia (NH₃) is a zero-carbon fuel and an attractive hydrogen (H₂) carrier for gas turbine power generation due to its high energy density, ease of storage, and transportation. This study numerically investigates NH₃/air combustion using a hybrid Well-Stirred Reactor (WSR) and Plug Flow Reactor (PFR) model in Cantera at pressures of 1–20 atm, temperatures of 1850–2150 K, and equivalence ratios (ϕ) of 0.7–1.2. The effects of pressure, equivalence ratio, and temperature on NH₃ conversion and NO formation are examined. Results show that NH₃ exhibits a non-monotonic conversion curve with pressure after the …

2026-01-14 [Review] Frantic And Fantastic: "Marty Supreme” Is Cinematic Chaos, Maya Deguzman

The Spectator Online

No abstract provided.

Unlocking The Benefits Of Transparent And Reusable Science For Climate Risk Management, Adam B. Pollack, Lisa Auermuller, Casey D. Burleyson, Jentry Campbell, Madison Condon, Courtney Cooper, Matteo Coronese, Sönke Dangendorf, James Doss-Gollin, Prabhat Hegde, Casey Helgeson, Robert E. Kopp, Jan Kwakkel, Corey Lesk, Justin Mankin, Robert E. Nicholas, Jennie Rice, Samantha Roth, Vivek Srikrishnan, Moira Scheeler, Nancy Tuana, Chris Vernon, Mengqi Zhao, Klaus Keller

Faculty Scholarship

People around the world seek climate risk information to guide their decisions. For instance, projections about future flood risk inform where households choose to live, how lenders manage credit risks, and which communities receive federal funding. Yet data limitations and fundamental validation challenges raise important concerns about the reliability of such projections. The principles of transparency and reusability help address these concerns by enabling scrutiny of assumptions and methods, development of foundational data and tools, and consistent application of evaluation standards. While there is ongoing debate about how much transparency commercial climate risk services should provide, many expect noncommercial actors …

Codazzi Normalized Null Hypersurfaces, Théophile Kemajou Mbiakop, Cyriaque Atindogbe, Ferdinand Ngakeu

Turkish Journal of Mathematics

We introduce a class of null hypersurfaces of Lorentzian manifolds, namely Codazzi normalized null hyper surfaces, whose (screen) shape operator associated with the rigged vector field is a Codazzi tensor. Several examples are given to support our study. Moreover, we investigate conditions implying that the induced Riemannian screen structure on a Codazzi-type normalized null hypersurface of a Lorentzian space is locally a nontrivial warped product.

Advancing The Rights Of Nature: Lessons From Sauk-Suiattle V. City Of Seattle, Harry S. Katz

American Indian Law Journal

Advocates for the “rights of nature” seek recognition of legal rights for natural elements such as mountains, rivers, and non-human species as a means of protecting the environment. In the United States, Tribal Nations have been at the forefront of this nascent movement. In a 2022 Washington state case, the Sauk-Suiattle Indian Tribe sued the City of Seattle, alleging that the City’s hydroelectric dams on the Skagit River infringe upon the rights of salmon. Those rights, they claim, include the salmon’s rights to exist, flourish, regenerate, and evolve. The case, known as Sauk-Suiattle Indian Tribe v. City of Seattle, …

Native History Is United States History: How United States History Censorship Leads To Passive Acceptance Of Racial Discrimination And Furthers The Decline Of Tribal Sovereignty, Nickolasa A. Jackson

American Indian Law Journal

Native stories are embedded in the United States Constitution, property law, and the nation’s legal and political framework, but education frequently omits these truths. Such erasure perpetuates misunderstanding, invisibility, and hostility toward Native communities, obscuring the reality that the United States was built through the dispossession, coercion, and suffering of Indigenous Peoples. Whitewashing history has allowed the nation to claim moral virtue and industriousness while denying the foundational role of Indigenous Peoples. The Article emphasizes that Native rights, whether land, water, or other treaty-protected entitlements, as well as inherent rights such as tribal sovereignty, are not charitable or discretionary; they …

A Neutrosophic Homological-Gröbner Framework For Ai-Driven Media Education Evaluation, Mona Gharib, Hafiz Muhammad Athar Farid, José M. Merigó, Muhammad Riaz

Sustainable Machine Intelligence Journal

The integration of artificial intelligence (AI) with media technologies has transformed teaching in Journalism and Communication, introducing new challenges for quality evaluation. Traditional assessment methods fail to capture the uncertainty, inconsistency, and incompleteness inherent in modern educational data. This paper proposes a Neutrosophic Homological–Gröbner Framework, which unifies three perspectives: neutrosophic sets to encode uncertain evidence, homological algebra to analyze structural coherence, and Gröbner bases to systematically simplify interdependent evaluation rules.

Within this framework, diverse evidence is encoded into neutrosophic triplets, daggregate into course-level indicators, and organized into neutrosophic chain complexes, where Betti indices reveal coherence and fragmentation. Educational policies are …

High-Performance Deep Learning Techniques For Plant Disease Detection: Performance Analysis, Validation, And Applications, Doaa El-Shahat, Ahmed Elmasry

Sustainable Machine Intelligence Journal

The early detection of plant diseases is an indispensable task to improve crop yields and production quality. Crop disease observations by experienced pathologists are difficult and might take a long time. Therefore, deep learning (DL) techniques have been utilized to present an automated detection technique that could accurately and timely detect plant diseases. Several DL models in the literature were proposed, but no paper conducted a comparative study between those models to determine which of them was the best alternative for this task. Therefore, twenty-one DL models are compared in this review paper to show which of them could achieve …

An Enhanced Optimization Algorithm For Estimating Pem Fuel Cells Parameters: Performance Comparison And Real-World Applicability, Ibrahim Alrashdi, Karam M. Sallam

Sustainable Machine Intelligence Journal

Accurate modeling is critical for the efficient design, control, and optimization of a proton exchange membrane (PEM) fuel cell. This problem is regarded as a multi-modal, multi-variate, non-linear optimization problem, and several methods in the literature have been presented to tackle it. However, those methods still suffer from either being stuck into local optima or a slow convergence rate. To solve this problem more accurately in terms of final results and convergence speed, this study proposes a hybrid optimization algorithm based on enhancing the recently proposed crested porcupine optimizer (CPO) using two new optimization methods, namely ranking-based optimization and exploration-exploitation …

The Bg News January 14, 2026, Bowling Green State University

BG News (Student Newspaper)

The BGSU campus student newspaper. January 14, 2026. Volume 105-Issue 13.

Employee Well-Being At Risk During Times Of Hyper Disruption, Jill Roof, Anneliese Orr, Mandy Sharp Eizinger

Research, Reports, and Publications

No abstract provided.

Small Courageous Minds, Desirae Bach

Masters Theses

This thesis examines the barriers, agreements, and disagreements between mental health and Christianity, specifically as it relates to helping Christian children with anxiety. The following investigation explores how God defines and reacts to anxiety in the Bible and how anxiety is explained through scientific research. By explaining both scientific and biblical views of anxiety, the Christian community can grasp a better understanding of how to help children with anxiety. The research also builds a foundational investigation on how anxiety affects children and possible solutions for relieving anxiety in children. Educating children at a young age about mental health and offering …

Factors Influencing Sugary Drink Consumption Among Residential Students At Liberty University, Chinonso Felistas Eziechi

Masters Theses

Introduction/Background: Sugary drink consumption among college students remains a public health concern due to its association with obesity, diabetes, and cardiovascular disease. Despite high awareness of health risks, consumption among emerging adults remains elevated. Guided by the Social Cognitive Theory, this study examined the psychosocial, behavioral, and environmental determinants of sugary drink consumption among residential students at Liberty University. Objective: To identify key predictors of sugary drink consumption and evaluate how expectations, self-regulation, and environmental factors shape beverage behaviors. Design, Setting, Participants: This cross-sectional study used an anonymous Qualtrics survey distributed on campus. Of approximately 745 eligible residential students, 473 …

The Impact Of Awareness Of Campus Health Services On Utilization Of Medical Care Among Residential Students At Liberty University, Catherine Pandagade

Masters Theses

College students represent the most prominent group of individuals when considering their lifestyles throughout aging. Therefore, this age group serves as a good opportunity for health education that could build positive health behaviors for life. Existing literature have said that the 18-25 year olds tend to have fewer resources and be often uninsured and have the highest rates of preventable diseases.2 Objective: The aim of this research is to investigate the impact of awareness and its subsequent effect on utilization of available health resources on campus among the student population of Liberty University. Additionally, the purpose of the research through …

Estimation Of The Reliability Function Of The Maxwell - Boltzmann Distribution Using The M-Robust Estimation Methods And Comparing Them With Conventional Methods, Shaymaa Riyadh Thanoon

Baghdad Science Journal

To achieve the best possible outcomes. The reliability function estimation was also established for the In this study, the scal parameter Maxwell distribution was estimated using both traditional and robust methods, and the results were compared typical estimation methods, which included the Maximum Likelihood method (MLE), the moments method (MOM), and the M- robust method The results were compared using the mean error squared (MSE). The M-robust technique was found to have the lowest mean square error across all sample sizes, as demonstrated by the findings hence, it is regarded as being more effective than the conventional estimate methods. In …

Reproducible Semantic Data Management Workflow For Materials Data Science: Generating Knowledge Graphs With Robust Fairifcation Pipelines, Kyle R. Henrikson, Van D. Tran, Meredith Francis, Isabella Giammattei, Quynh D. Tran, Laura S. Bruckman, Erika I. Barcelos, Roger H. French

Student Scholarship

Combining data from multiple sources is crucial for efficient knowledge aggregation in materials data science. FAIR data from ontology and Linked Data principles enable this. Semantic data management streamlines data exchange and aggregation, ensuring information is available and extractable. FAIRLinked and GraphDB provide solutions for consolidating, hosting, and extracting meaningful insight from multimodal data.

Determination Of Sample Size In Vaccine Trials, Meghna Bose

Doctoral Theses

Sample size determination is an important as well as delicate problem in clinical trials. Often, prior information available before the beginning of the trial is used to estimate the sample size. Hence, it is of importance to quantify the prior information available in terms of an Effective Sample Size (ESS). The problem of finding Effective Sample Size (ESS) in Phase II clinical trials, where toxicity and efficacy are the two components of the treatment response vector, is considered. In particular, one of the components is assumed to be binary, and the other is assumed to be continuous. Theoretical expressions for …