Digital Commons Network^™

Screen Time, Physical Activity, And Vo₂Max In Indonesian Vocational School Adolescents (Aged 15–17): A Cross-Sectional Study, Cahyo Wibowo, Yahya Eko Nopiyanto, Angkit Kinasih, Asarya Reno Kombong, Dian Pujianto, Bayu Insanistyo

Indonesian Journal of Research in Physical Education, Sport, and Health

Physical activity and screen time influence many adolescent' fitness problems. This research aims to determine the relationship between screen time and physical activity on adolescent students' cardio-respiratory endurance (VO2max). This research used observational analysis with a cross-sectional study involving 70 teenage students at an Information and Network Technology Vocational School consisting of male and female teenage students. The Screen Time of Adolescents (QUEST) questionnaire was used to assess screen time, the physical activity instrument used the Global Physical Activity Questionnaire (GPAQ v2.0) to assess physical activity levels, and the VO2max instrument used the 20-meter Multistage Fitness Test (MFT). The data …

Association Between Suboptimal Health Status And Academic Performance: A Cross-Sectional Study Of 1,028 Medical Students In Punjab, Pakistan, Maleha Asim, Misbah Malik, Aneela Jamil, Raheela Yasmin, Ghazala Jawwad, Wajahat Ullah Khan

Indonesian Journal of Research in Physical Education, Sport, and Health

Background: Suboptimal health status (SHS) refers to the transitional period between health and illness, characterized by unexplained symptoms and premature changes in functional status without a known medical diagnosis. Objective: The aim is to examine how often SHS occurs and how lifestyle factors influence both SHS and the academic success of medical students. Methods: A Cross-sectional survey was conducted from February 2024 to September 2024 with first- to fifth-year medical students from four randomly chosen medical colleges in Punjab, Pakistan. The Suboptimal Health Measurement Scale (SHMS V1.0), Pittsburgh Sleep Quality Index (PSQI), and Health-Promoting Lifestyle Scale (HPLS) were used to …

Exploring Undergraduate Experiences In Physical Education And Health: A Photovoice Study Of Indonesian Students, Sunarno Basuki, Perdinanto Perdinanto, Akhmad Amirudin

Indonesian Journal of Research in Physical Education, Sport, and Health

Background: Research on undergraduate students in Physical Education (PE) and Health particularly in Indonesia and the Global South has predominantly relied on quantitative indicators, often neglecting students’ lived, embodied, and emotional experiences within demanding academic and physical environments. Objective: This study aimed to explore the lived experiences of Indonesian undergraduate students enrolled in PE and Health programs and to examine how these experiences can inform more responsive and inclusive educational practices. Methods: A qualitative participatory design was employed using photovoice. Eight undergraduate students documented their academic and personal experiences through photography over a two-week period, followed by reflective writing and …

Identification Of Characteristics And Incidence Of Injuries In Pencak Silat Athletes In The Adult Competition Category In East Java, Dinda Farida Putri Bahari, Kurniati Rahayuni

Indonesian Journal of Research in Physical Education, Sport, and Health

Background: Pencak silat, as a competitive sport, has a high risk of injury. However, data on its characteristics and causative factors during pre-match and matches in East Java are still limited. Objective: This study aims to identify the characteristics and incidence of injuries in adult sparring category pencak silat athletes in East Java during training and matches. Methods: Using a quantitative descriptive method with a cross-sectional survey approach. Data were collected through a survey distributed to 100 athletes (61 men and 31 women) aged 17-22 years from 11 cities/districts in East Java, including information on injury characteristics and causal factors. …

Neuromuscular Hamstring Profile Based On Strength Imbalance As A Basis For Injury Prevention In Youth Football Players, Yulingga Nanda Hanief, Sri Sumartiningsih, Setya Rahayu, Heny Setyawati, Hadi Hadi, Karol Karol Jaskulski

Indonesian Journal of Research in Physical Education, Sport, and Health

Background: Hamstring strength imbalance between the left and right sides has been identified as a factor contributing to increased injury risk in athletes. However, few studies have evaluated not only bilateral strength differences but also the magnitude of clinically significant imbalances in various hamstring strength parameters. Objective: This study aims to analyze bilateral hamstring muscle asymmetry in terms of maximum, average, and maximum impulse strength, and to evaluate whether the distribution of high imbalances reaches clinically relevant thresholds associated with potential injury risk. Methods: This study is a cross-sectional observational study. Twenty athletes (n = 20) underwent hamstring strength measurements …

Lost In Translation: Chomskyan Analysis Of Language Variation In Ai, Post-Critical Learners, And Native Speakers, Hannah Van Rijnswou

Holster Scholar Projects

Artificial Intelligence (AI) and Large Language Models (LLMs) have revolutionized linguistic theory, raising questions about human language acquisition. Some argue AI's language generation challenges the concept of innate linguistic ability, while others contend it reinforces it. This research examines AI's "Surplus of the Stimulus" learning—relying on vast datasets—against human language acquisition, particularly within Chomskyan frameworks of Universal Grammar and the "Poverty of the Stimulus." By analyzing language production across three groups—Native English Speakers, Post-Critical Period Second Language Learners, and LLMs—this study compares linguistic complexity using the Lexical Opulence Index (LOI). Data is collected through structured prompts across four linguistic registers: …

“Sometimes I Have To Figure Things Out By Talking About Them”: Conceptualizing Think-Aloud Protocols As Spaces For Reflexivity During Open Textbook Construction, Dawn Atkinson, Stacey Corbitt

Writing

Abstract Open textbooks, freely available open educational resources, have an ever-growing presence in learning environments around the world, though detailed studies of their development are rare. The challenges of tracking textbook writing activity in a precise manner over time may account for this sparsity. To highlight how process-tracing research can contribute insight to the textbook development literature, particularly that focused on open textbook writing, this study addresses the roles that think-aloud protocols (TAPs) played during the construction of an open corequisite writing textbook. The volume, which was designed with underprepared university students in mind, stresses the growth of academic and …

Look Before You Decide: Prompting Active Deduction Of Mllms For Assumptive Reasoning, Yian Li, Wentao Tian, Yang Jiao, Jingjing Chen, Tianwen Qian, Bin Zhu, Na Zhao, Yu‑Gang Jiang

Research Collection School Of Computing and Information Systems

Recently, Multimodal Large Language Models (MLLMs) have achieved significant success across multiple disciplines due to their exceptional instruction-following capabilities and extensive world knowledge. However, whether these MLLMs possess human-like compositional reasoning abilities remains an open problem. To unveil their reasoning behaviors, we first curate a Multimodal Assumptive Reasoning Benchmark (MARS-Bench) in this paper. Interestingly, we find that most prevalent MLLMs can be easily fooled by the introduction of a presupposition into the question, whereas such presuppositions appear naive to human reasoning. Besides, we also propose a simple yet effective method, Active Deduction (AD), a novel reinforcement learning paradigm to encourage …

Viewsrd: 3d Visual Grounding Via Structured Multi-View Decomposition, Ronggang Huang, Haoxin Yang, Yan Cai, Xuemiao Xu, Huaidong Zhang, Shengfeng He

Research Collection School Of Computing and Information Systems

3Dvisual grounding aims to identify and localize objects in a 3Dspacebasedontextualdescriptions. However, existing methods struggle with disentangling targets from anchors in complex multi-anchor queries and resolving inconsisten cies in spatial descriptions caused by perspective variations. To tackle these challenges, we propose ViewSRD, a frame work that formulates 3D visual grounding as a structured multi-view decomposition process. First, the Simple Rela tion Decoupling (SRD) module restructures complex multi anchor queries into a set of targeted single-anchor state ments, generating a structured set of perspective-aware de scriptions that clarify positional relationships. These de composed representations serve as the foundation for the Multi-view …

Visual-Enhanced Multimodal Framework For Flexible Job Shop Scheduling Problem, Peng Zhao, Zhiguang Cao, Di Wang, Wen Song, Wei Pang, You Zhou, Yuan Jiang

Research Collection School Of Computing and Information Systems

Multimodal models leverage complementary information across modalities to enrich feature representations. While visual information shows potential in representing structure for some combinatorial optimization problems (COPs), its application to complex scheduling like the Flexible Job Shop Scheduling Problem (FJSP) remains underexplored. Current learning-based FJSP solvers predominantly rely on handcrafted state features. This dependence can lead to inconsistencies and may not fully capture the problem's intricate dynamics. Crucially, these methods overlook visual modalities. Visual representations offer a distinct advantage by inherently capturing the global topological structure and complex resource interactions within the FJSP state. Unlike localized handcrafted features, this holistic, structural view …

Art4math: Handwritten Mathematical Expression Recognition Via Multimodal Sketch Grounding, Yang Zhou, Jin Wang, Yuxiao Zhang, Kaixiang Huang, Guodong Lu, Jingru Yang, Shengfeng He

Research Collection School Of Computing and Information Systems

Handwritten Mathematical Expression Recognition (HMER) remains a challenging task due to the structural complexity of mathematical notation and the ambiguity of handwritten symbols-e.g., ''ρ'' vs. ''p'' or ''B'' vs. ''β''. While stroke-based models offer disambiguation via temporal cues, most existing methods are constrained by coarse modality fusion and a lack of fine-grained cross-modal alignment, further hindered by limited annotated data. We introduce Art for Math (Art4Math), a novel framework that leverages the structural richness of human sketches to enhance HMER through fine-grained, modality-aware learning. Art4Math follows a two-stage training paradigm: Art Grounding (A-Grd) and Math Decoding (M-Dec). In A-Grd, the …

Language-Driven 3d Human Pose Estimation In Multi-Person Scenarios: A New Dataset And Approach, Tingrui Shen, Bangzhen Liu, Zhirun Fan, Shiting Zhang, Weifeng Pan, Sun Fan, Dan Cao, Shengfeng He

Research Collection School Of Computing and Information Systems

In an NBA game scenario, consider the challenge of locating and analyzing the 3D poses of players performing a user-specified action, such as attempting a shot. Traditional 3D human pose estimation (3DHPE) methods often fall short in such complex, multi-person scenes due to their lack of semantic integration and reliance on isolated pose data. To address these limitations, we introduce Language-Driven 3D Human Pose Estimation (L3DHPE), a novel approach that extends 3DHPE to general multi-person contexts by incorporating detailed language descriptions. We present Panoptic-L3D, the first dataset designed for L3DHPE, featuring 3,838 linguistic annotations for 1,476 individuals across 588 videos, …

Unsupervised Visual Chain-Of-Thought Reasoning Via Preference Optimization, Kesen Zhao, Beier Zhu, Qianru Sun, Hanwang Zhang

Research Collection School Of Computing and Information Systems

Chain-of-thought (CoT) reasoning greatly improves the interpretability and problem-solving abilities of multimodal large language models (MLLMs). However, existing ap proaches focus on text CoT, limiting their ability to lever age visual cues. Visual CoT remains underexplored, and the only work [35] is based on supervised fine-tuning that relies on extensive labeled bounding-box data and is hard to generalize to unseen cases. In this paper, we introduce Unsupervised Visual CoT (UV-CoT), a novel framework for image-level CoT reasoning via preference optimization. UV-CoTperforms preference comparisons between model generated bounding boxes (one is preferred and the other is dis-preferred), eliminating the need for …

¡Charlemos De Comida Y Cultura En España!, Lucia Osa-Melero

Open Education Materials

¡Charlemos de comida y cultura en España! is a culturally immersive Spanish language textbook designed for intermediate- high level learners who wish to explore the rich and diverse culinary traditions of Spain while enhancing their linguistic skills. Organized thematically by culinary concepts, this text blends language instruction with cultural insights to provide a meaningful and engaging learning experience while developing communicative skills and intercultural learning. Each chapter introduces students to regional specialties, food-related vocabulary, idiomatic expressions, and authentic readings and videos that reflect the traditions, values, and social common practices surrounding food in Spain.

Why Capping The House At 435 Is Unconstitutional, Anoo Dinesh Vyas

Penn State Law Review (2003 - Present)

No abstract provided.

From Nature To Finance: The Language Of Environmental Governance Through Unep Reports, Elizabeth Aiken

IPHS 200: Programming Humanity

This project applies the computational text analysis methods from Franco Moretti and Dominique Pestre's "Bankspeak" to examine how the United Nations Environment Programme’s (UNEP) language has evolved in its annual reports from 1975 to 2024. Founded in 1972 as the UN’s main environmental authority, the UNEP plays a vital role in global discourse surrounding climate change and environmental challenges. Using Python-based computational methods to track word frequencies, semantic clusters, and grammatical patterns across five decades of annual reports, this analysis reveals three distinct linguistic periods. These periods include an early period (1975-1989), which emphasizes nature and scientific terms, a middle …

Mentoring Programs For Youth In Hagerstown, Maryland: Addressing The Opioid Epidemic, Stephane Reed

Selected Social Change Portfolios in Prevention, Intervention, and Consultation

Goal Statement: The goal of this social change portfolio is to help develop and promote mentoring programs for youth in Hagerstown, Maryland as preventive strategy to reduce the impact of the opioid epidemic. This initiative seeks to strengthen resilience, enhance academic performance and foster healthy decision-making among adolescents through consistent, supportive adult-youth relationships. The proposed mentoring framework to integrate culturally responsive, trauma-informed and community-based approaches address the systemic and interpersonal factors contributing to misuse in Washington County. Significant Findings: In Washington County, where Hagerstown is located, it continues to experience one of the highest opioids overdoes within Maryland which is …

Addressing Mental Health And Homelessness In The Lower Valley, Viere Arellano-Almazan

Selected Social Change Portfolios in Prevention, Intervention, and Consultation

Goal Statement: To reduce homelessness in the Lower Yakima Valley by implementing early intervention and culturally responsive mental health prevention strategies that enhance access to care, reduce stigma, and strengthen community resilience. Significant Findings: The Lower Yakima Valley faces significant challenges in addressing the intersection of mental health and homelessness due to limited access to culturally and linguistically appropriate care. Research indicates that rural residents particularly Hispanic immigrant and farmworker populations experience elevated levels of psychological distress, stigma, and barriers to accessing services (Armstrong et al., 2022). Applying the Social-Ecological Model has illuminated how multiple interconnected factors influence vulnerability, including …

Veteran Suicide Prevention In Central Florida, Michael Terkos

Selected Social Change Portfolios in Prevention, Intervention, and Consultation

Goal Statement: The goal of this project is to reduce suicide rates among veterans in Central Florida by strengthening protective factors, increasing access to culturally competent, trauma- informed care, and fostering community-based resilience networks that connect veterans, families, and local agencies. Significant Findings: Veteran suicide remains a critical public health concern in Florida, which continues to rank among the states with the highest veteran suicide rates (Florida Department of Health, 2025). Research indicates that approximately 17 veterans die by suicide each day nationwide (U.S. Department of Veterans Affairs [VA], 2022). Key risk factors include post- traumatic stress disorder (PTSD), depression, …

“What Grade Do You Feel You Earned?” Integrating Student-Led Grading With A Labor-Based Grading Framework, Megan Von Bergen

Journal of Response to Writing

This brief article discusses the advantages of using a student grade proposal within a labor-based grading framework, focusing on how the grade proposal may reinforce the equity-related aims of labor-based grading and hone students' ability to self-assess. The article discusses the learning outcomes of the grade proposal and its process, then ends with a sample grade proposal.

Cooperative Learning And The Impact On Student Engagement, Erin Pint

Master's Theses & Capstone Projects

Cooperative learning is an essential instructional approach that supports student engagement. There is limited implementation of this learning method in the classroom which leads to students lacking motivation and opportunities to collaborate with their peers. Research has shown that when teachers incorporate cooperative learning experiences, students demonstrate increased participation which leads to deeper understanding of the content. This inquiry-based research study aims to determine whether cooperative learning can improve student engagement. The study utilized a qualitative approach, using both student and educator surveys as well as field notes. Findings revealed that most students prefer learning alongside at least one peer …

Effective Strategies For Creating Inclusive Ell Curricula In Multicultural Classrooms., Katie Struck

Master's Theses & Capstone Projects

This inquiry-based capstone project examines effective strategies for creating inclusive curricula for English Language Learners (ELLs) in multicultural classrooms, with a focus on leveraging students' first languages (L1) to reduce language barriers and promote motivation, cultural representation, and equitable academic outcomes. Amid the rapid growth of ELL populations in U.S. schools—from 8% to nearly 10% of public enrollment between 2000 and 2016—educators in regions like northwest Iowa face challenges in meeting diverse social and academic needs. A literature review synthesizes recent studies on supporting ELL demographics, preparing school staff, addressing barriers, and implementing evidence-based programs and practices. Conducted in a …

Metaphysical Quandary Of Synthetic Media Transparency, Darrell G. Mottley

Vanderbilt Journal of Entertainment & Technology Law

Artificial intelligence (AI) is reshaping our view of reality. The interaction between human creativity and generative AI presents both opportunities and challenges concerning free speech and innovation. AI’s transformative impact on perceptions of innovation complicates discussions surrounding creativity and societal expectations. A human-centric perspective in the debate over government-mandated transparency for AI-generated creative works reveals a notable conflict. This conflict arises from the need to balance the protection of human creativity with an apparent obligation to provide information about the human or nonhuman origins of creative works. As society increasingly relies on AI technologies to produce art, literature, and other …

Credible Theological Encroachment À La Clemente De Jesús Munguía, Juan Garcia Torres

Faith and Philosophy: Journal of the Society of Christian Philosophers

No abstract provided.

Chemistry And Biochemistry Affiliated Publications: Snapshot Of The Research Publications 2019-2024., Jeremy J. Smith, Lutishoor Salisbury

University Libraries Faculty Publications and Presentations

This report highlights the chemistry and biochemistry faculty publications for the period 2019-2024. It includes tables identifying the types of publications, the characteristics of the authors, inter-departmental and external cooperation, summary of the citations of the publications, and the JCR ranking of the journals in which they published.

Ambient Artificial Intelligence In Health Care Documentation: A Review Of Tools, Integration, And Clinical Implications, Jasmin Hundal, Molly Jain Md, Joseph Mccollom Do

PCI Publications and Projects

Introduction: Ambient artificial intelligence (AAI) is increasingly being integrated into clinical workflows to address the documentation burden contributing to clinician burnout. AAI systems use automatic speech recognition and natural language processing to capture real-time clinician–patient dialogue and generate structured documentation within the electronic health record. Methods: This review examines AAI’s technical foundations, clinical applications, and implementation considerations in oncology practice. We describe how current AAI tools extract, classify, and populate relevant clinical content, such as the history of present illness, physical examination findings, and assessment and plan, while adhering to established US coding standards (e.g., International Classification of Diseases [ICD-10]). …

Refugee Health And Nutrition, Miriam Mutambudzi, Naomi Shanguhyia

The Lender Center for Social Justice

Refugees resettled in Syracuse, New York, face persistent challenges to maintaining healthy, culturally appropriate diets, barriers that extend far beyond food availability. This policy brief explores the complex intersection of nutrition, culture, and health equity among refugee families. Through community-engaged research with sub-Saharan African refugee households, findings reveal that food insecurity remains widespread, with families struggling to access familiar ingredients and affordable, nutritious options. Despite these constraints, refugee families demonstrate remarkable resilience and commitment to preserving traditional diets and promoting health within their households. However, limited cultural competence in food assistance programs and exposure of youth to unhealthy dietary norms …

Assessing Cognitive Abilities In Students With Hearing Loss And Specific Learning Disabilities, Pooja Gupta, Corinna V. Cole, William H. Blackwell

Journal of Human Services: Training, Research, and Practice

This literature review synthesizes approximately 30 years of research on students from kindergarten through 12th grade with hearing impairments who are suspected of having a specific learning disability (SLD). Assessing SLDs in these students presents significant challenges, particularly when evaluating cognitive abilities using the Cattell-Horn-Carroll (CHC) theory of intelligence. This theory encompasses seven broad cognitive domains that influence academic success in reading, mathematics, and writing, including crystallized intelligence, fluid and sequential reasoning, long-term and short-term memory, visual processing, auditory processing, and processing speed. Since auditory processing is inherently affected in students with hearing impairments, this review excludes it from discussion. …

Digital Learning And Healing: Impacts Of Ai In Art Therapy, Cassandra E. Buffington-Bates

Journal of Human Services: Training, Research, and Practice

Art therapy, a creative approach to mental and emotional healing, is evolving with digital technologies to improve accessibility and care. This paper explores how artificial intelligence (AI) enhances art therapy by fostering emotional intelligence, collaboration, and personalized interventions. It highlights AI’s potential to support therapy while addressing challenges like empathy, data privacy, and training gaps. Through a literature review, the study offers insights into integrating AI with human-centered practices, providing innovative solutions for emotional and cognitive well-being.

English-Spanish Bilingual Speech Language Pathologists’ Experiences Evaluating English Language Learner Students: Incorporating Conceptual Scoring, Barbara De Jesus Rivera, Raul Prezas

Journal of Human Services: Training, Research, and Practice

The number of multilingual/bilingual students has increased across schools in the United States. Assessment in both the native language and English is considered the standard for evaluating bilingual children referred for language testing. Conceptual Scoring is an evaluation approach for bilingual students that considers the students’ responses in both languages to obtain an overall language score; however, there is variability among practitioners on best practices for multilingual assessment.

Purpose: The current study (a) sought to explore the decision-making process of bilingual SLPs when evaluating bilingual students, (b) to gain a deeper understanding of how bilingual SLPs incorporate conceptual scoring in …