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A273: Coupling Dilemmas And Strategies Of Physical And Health Education In Chinese Schools Under Physical-Medical Integration, Wei Zhong, Youliang Xu, Wen Xiong, Zijun Yan

International Journal of Physical Activity and Health

"Physical-Medical Integration" combines sports science and medical disease prevention, supporting the "Healthy China 2030" strategy. Health education, originating from medicine, is vital for promoting youth health knowledge and is key to integrating with school sports. This study examines the challenges and solutions of combining school sports and health education under this integration. The study uses literature review, mathematical analysis, and logical reasoning. Core journal papers from databases like CNKI, Wanfang, and VIP were analyzed using keywords like "Physical-Medical Integration," "Health Education," and "School Sports" (2000-2025). CiteSpace is used for keyword clustering to support challenge diagnosis. The study also compares policy …

A286: Deepseek Empowering Extracurricular Physical Activities, Tong Wang, Zhuo Chen

International Journal of Physical Activity and Health

Traditional management approaches for school extracurricular physical activities increasingly struggle with efficiency and personalization amid growing program diversity. This study investigates DeepSeek—a domestically developed AI large language model—to optimize activity design, event logistics, and training strategies in physical education (PE) through human-AI collaboration. Utilizing a qualitative design, semi-structured interviews were conducted with 15 PE teachers across Beijing secondary schools. Case studies of DeepSeek-assisted programs (e.g., AI-curated recess exercise sequences, data-driven sports festival schedules) were analyzed via thematic coding. Triangulation of interview transcripts, teacher journals, and activity logs ensured methodological rigor. Three key themes emerged: 1) Personalized activity recommendations (e.g., blending …

Beyond Icwa: Within Family Court Systems, Mixed Indigenous Families Confront Ongoing Jurisdictional Violence, Nis Wilbur

American Indian Law Journal

Mixed Indigenous families (MIFs) navigating parental custody in the United States can find themselves trapped in a Battleship®-style jurisdictional maze, where tribal, state, and federal authorities collide unpredictably. This legal mess threatens to separate children from their tribal communities, undermines tribal sovereignty, and can force families into years of costly litigation. The problem is rooted in centuries of white supremacist law and policy that systematically dispossess tribes of culture and self-governance: from the Marshall Trilogy to the boarding school era and harmful adoption schemes. Today, legal frameworks like the UCCJEA remain insufficient as they minimize or ignore tribal civil jurisdiction, …

Workers’ Compensation Codes In American Indian* Tribal Nations, Autumn N. Siegel

American Indian Law Journal

This Article examines various Tribal Nations’ experiences in developing their own workers’ compensation systems using a comparative law and legal development approach, including direct interviews with a diverse range of tribal members. Tribal Nations’ self-created workers’ compensation codes predominantly rely on local models and expertise to establish and operate their systems. However, Tribal Nations also infuse their own cultural values into their codes, incorporating tribal perspectives and priorities such as valuing traditional medicine and peace-making alternative dispute resolution, providing more generously to volunteers, and incorporating return-to-work programs into their workers’ compensation systems. Some Tribal Nations also find it necessary to …

U.N.Masking American Exceptionalism: How International Frameworks Can Inform American Indian Policy, Kaitlin Reese

American Indian Law Journal

“U.N.masking American Exceptionalism: How International Frameworks Can Inform American Policy,” serves primarily to examine and criticize how American case law, such as Johnson v. M’Intosh, has been used in foreign courts to justify the Doctrine of Discovery and how, despite many other courts eventually acknowledging it as a harmful rule of law in meaningful ways, the United States has done no such thing. This Article walks through not only the legal cases both at home and abroad, but also delves into the historical background that led up to Johnson, examines the cases abroad that integrate the Doctrine of Discovery and …

Brain Tumor Segmentation Based On Convolutional Neural Network And Integration Of Deep And Shallow Features, Rula Sami Aleesa

Baghdad Science Journal

Segmentation of Brain tumors refers to one of the most challenging problems in analyzing a medical image. To establish accurate brain tumor region delineation, brain tumor segmentation is used. Feature extraction refers to one of the basic steps in the processing of an image that aids classification. Various features’ kinds are extracted from MRI images. The traditional classifiers of Machine learning need hand-crafted features that are time-consuming and susceptible to errors made by humans. Against this, Deep learning is too powerful in terms of feature extraction and has already been extensively applied for the aims of classification. The presented technique …

A230: Bibliometric Analysis Of Exercise Interventions For Type 2 Diabetes Over The Past Decade, Haidong Xu, Weiling Huang, Loucheng Yu

International Journal of Physical Activity and Health

This study aims to analyze the research status of exercise interventions for type 2 diabetes at home and abroad over the past decade, revealing research hotspots and trends to provide a theoretical basis for diabetes prevention, treatment, and the formulation of personalized exercise prescriptions. Based on the CiteSpace software, relevant literature from 2015 to 2025 was retrieved from the CNKI core journals and the Web of Science (WOS) database. A bibliometric analysis was conducted from multiple dimensions, including annual publication volume, author and institutional collaboration, country/region cooperation, keyword co-occurrence and burst analysis, and knowledge mapping. (1) The number of publications …

A268: China Golf Research: A Citespace Knowledge Mapping Analysis Of Current Trends, Shuyan Zhang

International Journal of Physical Activity and Health

The year 2024 marks the 40th anniversary of golf’s development in China, presenting a critical juncture for systematically reviewing the sport’s progress. To commemorate this milestone, the China Golf Association (CGA) launched the ‘40 Years of Golf in China’ initiative, which primarily solicits literary and audiovisual works for promotional purposes. However, this campaign notably lacks a comprehensive synthesis of existing academic research on the subject. To address this gap, this study employs CiteSpace-based knowledge mapping to analyze the current state and emerging trends in scholarly research on golf in China. Method: This study utilized CSSCI-indexed journal articles from the CNKI …

A072: Case Study Method In Sport Management: A Systematic Literature Review From 2013–2023, Jiexin Chen, Ji Wu

International Journal of Physical Activity and Health

Case study, as a scientific research method of social science, has been widely used in sport management. To date, there have been scarce attempts to systematically review how the case study method has been applied in sport management. In this regard, the key objective of this study is to present a general picture of case study research in sport management over the decade. To achieve our objective, a systematic literature review (SLR) was conducted in four leading sport management journals published from January 1, 2013, to December 31, 2023. The primary objective of an SLR is to address a focused …

A186: Evaluating Badminton-Specific Court Testing: A Systematic Review, Leyi Jiang, Zhenxiang Guo, Shiwu Li, Linzhi He, Dapeng Bao

International Journal of Physical Activity and Health

Badminton, a technically and tactically demanding sport, requires rapid reaction, eye-hand coordination, and agility, alongside both aerobic and anaerobic energy system capabilities. However, current mainstream fitness assessments primarily rely on non-specific and semi-specific tests, which, while reliable, lack ecological validity in capturing the multidimensional demands of badminton. Field-based tests, designed to simulate the sport-specific movements and energy demands, are critical for accurately evaluating badminton athletes' performance. This systematic review aims to evaluate the reliability, validity, and applicability of existing field-based tests for badminton athletes, providing evidence-based insights for the development of more contextually relevant assessment methods. Method: Using keywords such …

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 …

Vigilante Violence, The Rise Of The New Right, And The Persistence Of The Texas Farmworkers, 1975–1980, Brent M. S. Campney, Tim Bowman

History Faculty Publications

This study charts the ineffective vigilante violence perpetrated by growers in the Rio Grande Valley of Texas to suppress farmworker activism from the mid-to-late 1970s and their abrupt shift in tactics with a 1980 strike in Hereford, Texas, toward the adoption of strictly nonviolent and tediously legalistic new methods associated with the neoconservative backlash. It does so in two major sections. In the first, grower violence is chronicled in detail that underscores both its rage and ineffectiveness. The second section shows how the New Right usurped the longstanding usage of physical violence against ethnic Mexicans in Texas, prompting conservatives to …

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 …

Robust Qr Code Counterfeit Detection By Integrating Vgg19 Neural Embedding And Triplet Loss, Gede Putra Kusuma, Yulianto Yulianto, Renaldy Fredyan, Hendi Chandi, Jeffry William Tan, Philip Kwan, Muhammad Dafa Syukur

Baghdad Science Journal

Detecting counterfeit Quick Response codes plays a critical role in protecting the integrity of products and documents. This paper presents a novel methodology to increase the reliability of QR code counterfeit detection by integrating neural embedding VGG19 and triplet loss. The approach uses deep neural networks. Specifically, the modification of the VGG19 architecture is used to extract unique features from QR codes. These features are embedded in a multi-dimensional space using neural embedding methods. The use of the triplet loss function aims to increase the discriminative power of the embeddings, ensuring the discriminative power of the embeddings, and ensuring that …

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 …

2026-01-14 Ringing In The New Year Out Of The Spectator Office, Spectator Editorial Board

The Spectator Online

No abstract provided.

Promote, Partner & Mentor: Research At Liberty University, Mark Hamilton

Faculty Publications and Presentations

How can you be involved with faculty and student research at Liberty University? Promote your own research through LU Faculty SHARE (the faculty research platform). Partner with Liberty University Journals, encouraging student submissions. Mentor students in the research process.

Objectives

At the end of this session, attendees will be able to:

• Promote your own Research through LU Faculty SHARE 
• Use LU Faculty SHARE to list your own articles, posters, and presentations.

• Partner with Liberty University Journals 
• Serve as an advisor, or editor of an existing journal.
• Create a new journal by completing an interest form and application for a new …

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.

The Tribal Rules Of Evidence, Nicole Morote

American Indian Law Journal

Rules of evidence shape litigation practice across the country. In this sense, they govern the truth as it enters the court. Legal scholarship has yet to study tribal approaches to evidence— an area with tremendous promise for legal practitioners and evidence rulemakers alike.

This Article is the first to do so. It analyzes an array of tribal evidence codes across the United States. It reveals three frameworks that describe tribes’ approaches to the Federal Rules. In doing so, it offers a modest contribution to the nascent intersection between Tribal law and evidence studies: crucial insight into tribal systems’ unique needs, …

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 …

Toward A New Era Of American Indian Scholarship: An Introductory Essay For The American Indian Law Journal, Matthew L.M. Fletcher

American Indian Law Journal

No abstract provided.

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 …

Rf-Et-Ann: Hybrid Machine Learning Model For Forecasting Short-Term Photovoltaic Power Production, Walid Abdullah, Ahmed Ismail Ebada, Mohamed Abouhawwash

Sustainable Machine Intelligence Journal

Accurately forecasting photovoltaic (PV) power generation is a challenging problem due to the non-linear and highly variable characteristics of solar data, which is strongly influenced by several interdependent factors, such as environmental conditions, system characteristics, and technical aspects. In this study, a newly proposed machine learning (ML) technique based on integrating random forest (RF), extra trees (ET), and artificial neural networks (ANN) is presented to tackle this problem with better predictive accuracy, ensuring that solar energy is used more consistently, effectively, and economically; this model is dubbed RF-ET-ANN for short. Hybridization of these three models will help capture non-linear aspects …

Gnmsa: An Accurate Parameter Estimation Of Semi-Empirical Proton Exchange Membrane Fuel Cells Model Using A Hybrid Artificial Intelligence–Based Optimization Approach, Dina Atef, Doaa El-Shahat, Hafiz Burhan Ul Haq, Zaka Ur Rehman, Muhammad Nauman Irshad

Sustainable Machine Intelligence Journal

The PEMFC parameter estimation problem has recently piqued the interest of several researchers due to its significance in reaching better PEMFC modeling. However, existing PEMFC parameter estimation algorithms encounter significant difficulty in solving this problem because of its complex and highly nonlinear nature. Therefore, this paper presents a new hybrid approach, termed GNMSA, for addressing this problem more accurately. This hybrid approach combines the exploration operator of the generalized normal distribution optimization with the exploitation operator of the mantis search optimization (MSA), resulting in this strong variant that has high abilities to alleviate stagnation in local optima and expedite convergence …

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 …