Digital Commons Network^™

A007: Neuromuscular Factors Affecting Lower Extremity Explosive Strength Of Male Track And Field Athletes, Yanjin Li, Yue Zhou

International Journal of Physical Activity and Health

Objective: To investigate the neural and muscular factors affecting the explosive power of the lower limbs in college athletes by testing the neuromuscular function (H reflex) and explosive performance of male sprinting and long jump athletes.

Methods: H-reflex, countermovement jump (CMJ), squat jump (SJ) and one repetition maximum(1RM) tests were performed on male track and field college athletes using electromyography evoked potential and three-dimensional dynamometer. Test data of Hmax/Mmax, H-index, peak countermovement jump force and vertical stiffness of male college athletes were obtained. The Pearson's correlation coefficient was used to analyze the relationship between neuromuscular function and explosive performance in …

A008: Screening And Risk Factors Analysis Of Scoliosis In College Students, Wuzhaoyi Yang, Hua Liu

International Journal of Physical Activity and Health

Objective: To understand the prevalence of scoliosis in college students and the risk factors affecting it, and to provide a scientific basis for the prevention and treatment of spinal curvature abnormalities.

Methods: During the physical examination of undergraduates at Wuhan Sports University, 523 undergraduates were initially screened for body morphometrics, other physical indicators, and scoliosis. The main screening indicators included ATR, ATI, Adams test, and thoracic kyphosis angle.

Results: The prevalence of initial screening for scoliosis was 28.68%, in which female students (35.63%) were greater than male students (22.05%), and the difference was statistically significant (P < 0.05). The positive prevalence of 30.67% for disciplines was greater than the prevalence of 27.78% for operative disciplines, and the difference was not statistically significant (P > 0.05). The results of …

A013: The Effect Of Inter-Limb Asymmetry On Swimming Performance: A Systematic Review, Xiaoang Zhang

International Journal of Physical Activity and Health

Purpose: The aim of this systematic review was to critically appraise the current literature on (1) the influence of bilateral asymmetries on swimming performance and (2) the asymmetry characteristics that may affect swimming performance in the past 10 years, to provide a reference for future related research.

Method: An electronic search using PubMed, Web of Science, EBSCO series databases was performed for English articles, and CNKI and Wanfang database was performed for Chinese articles from 2013 to 2024. The methodological quality of the studies was evaluated using a modified version of currently established scales used in sport science, healthcare and …

A025: A Comparative Analysis Of Chinese And International Studies On Tai Chi Interventions For Knee Osteoarthritis, Yi Xiang

International Journal of Physical Activity and Health

Research Objective: This study aimed to comparatively analyze the research progress, focuses, hotspots, and knowledge community evolution in the field of Tai Chi for knee osteoarthritis rehabilitation at home and abroad. Furthermore, this study seeks to reveal the deepseated reasons for the differences and promote the integration and development of research both domestically and internationally, providing more beneficial theoretical and practical references for the rehabilitation of knee osteoarthritis patients.

Research Methods: This study employed the CiteSpace V6.1.R6 software, built on the JAVA platform, to conduct a knowledge mapping analysis of 66 Chinese and English literature from 2004 to 2023. Pathfinder …

A024: Adverse Childhood Experiences On Social Participation And Informal Social Support In Adulthood In China, Lu Chen, Yan Gao

International Journal of Physical Activity and Health

Background/Purpose: Adverse childhood experiences (ACEs) have a significant impact on the developmental trajectory of healthy aging. The profound impact of ACEs on individuals may spill over to influence the informal social support and social participation (SP) of middle-aged and older adults. However, the precise influence of ACEs on SP and informal social support is not yet clear. Therefore, to fill the research gap, we examined the characteristics of different subgroups of ACEs and analyzed the effects of ACEs on SP and informal social support among middle-aged and older adults.

Method: Data were obtained from the China Health and Retirement Longitudinal …

A032: Archery Consistency Assessment By Using Inertial Measurement Unit (Imu), Zengkai Lin, Xinglong Zhou

International Journal of Physical Activity and Health

Background/Purpose: Nowadays, the primary methods for evaluating archery techniques, especially the consistency, include force plates, motion capture systems, etc. However, these methods are characterized by their high cost, slow feedback, and lack of portability. Therefore, this study attempted to evaluate the consistency of archery techniques by using Inertial Measurement Unit (IMU) and to verify its feasibility.

Method: Six Chinese national archery team archers (3 men, 3 women, elite) participated in the 50m-target field test by using 5 IMUs (Xsens-DOT, Netherlands; 60Hz) and 8-lens Qualisys Motion Capture Equipment (Qualisys-OQUS-700, Sweden; 200Hz). Phases were divided based on Qualisys data, and the Coefficient …

A035: What Makes Ecological Sport Possible: Reflections On Lewis Mumford's Technological View Of Mass Sport, Qiang Gao, Guosheng Shi

International Journal of Physical Activity and Health

Background/Purpose: Lewis Mumford insightfully points out that "if sport is played for sport's sake, then its primary significance is lost". Under the coercion of the machine system, sport has become a so-called spontaneous response to resist the machine system, but such spontaneous response has not succeeded in resisting the machine system, instead, it has made sport itself a compensatory system to stabilize the order under the machine system, which has led to a crisis in the ecology of sport itself. Mumford's critique is an effective path to solving the ecological crisis of sport by practicing deep ecological sport ideology. Deep …

A036: Research On The Impact Of Physical Dance On Body Dissatisfaction Among Female College Students, Hanlu Yang

International Journal of Physical Activity and Health

Background/Purpose: With the exacerbation of social phenomena such as "internal competition" and "labeling," mental health issues among university students, especially anxiety and depression among female students, are becoming increasingly prominent. “Body Dissatisfaction”, recognized as a key factor influencing mental health, has garnered widespread attention from various sectors of society. This study aimed to investigate the impact of physical dance on body dissatisfaction among female college students, with the goal of fostering positive body image and promoting healthy exercise habits.

Method: This study employed a combination of literature review, experimental methods, interviews, field observations, questionnaire surveys, and mathematical statistics. Three measurement …

Navigating The Fine Line: The Role Of Literature As Reflection And Political Commentary, Paul Hong

KAUPA Letters

This article examines the balance between literature and political commentary through the works of Han Kang, particularly The Vegetarian, Human Acts, and The White Book, which explore themes of trauma and societal constraints. It explores the rich tradition of Korean literature and the complex role of the U.S. in shaping Korea's modern history. Additionally, it draws comparisons with authors like Victor Hugo, Émile Zola, and Jean-Paul Sartre, discussing how literature reflects political realities while focusing on universal human struggles.

Application Of Prompt Engineering Technologies Toward Seamless Cybersecurity Breaches Response Process, Young B. Choi

KAUPA Letters

In the rapidly evolving landscape of Cybersecurity, the detection and response to breaches is a critical challenge. Prompt engineering, a technique in natural language processing (NLP), has emerged as a transformative technology with the potential to enhance cybersecurity measures. This paper explores the application of prompt engineering in the context of cybersecurity, focusing on its role in the responding process to breaches using GPT-4o capabilities. We will examine how prompt engineering can improve threat intelligence, automate incident response, and augment human decision-making processes.

“A Frail Wish On Human Morality” Versus “A Life-And-Death Question For Humanity”, Yeomin Yoon

KAUPA Letters

No abstract provided.

Kaupa Letters: Volume 12, Issue 2, Korean American University Professors Association

KAUPA Letters

No abstract provided.

Economical Acquisition Of Intersection Data To Facilitate Cav Operations Phase Ii – Implementation, Manish Gowda, Walt Fehr, Andrew Balmos, Richard Ajagu, David Hong, James Krogmeier, Montasir Abbas, Samuel Labi

Center for Connected and Automated Transportation

Cost-effective collection and distribution of intersection data are needed to facilitate traffic operations at intersections in the HDV era and particularly, in the prospective era of CAVs. Existing methods are time consuming and costly. Phase I of this research (executed under CCAT Project Nr. 71) developed a cost-effective intersection data collection and distribution device for this purpose. In Phase II of this research, the device prototype was bench tested in Lansing and field tested at Owosso. It was confirmed that the device successfully facilitates SPaT and MAP data collection and dissimulation to mobile devices. These deployments provided evidence that the …

An Unintentional Realist: Rural Poverty In Harold Bell Wright’S Ozarks Novels, John J. Han

KAUPA Letters

This paper explores the theme of rural poverty in Harold Bell Wright’s Ozarks novels, a topic often overlooked due to the romantic, Arcadian lens through which Wright portrays the region. Despite his idealized depictions of simple, spiritually fulfilling rural life, Wright’s personal experiences with poverty and his observations of Ozarks life offer valuable insights into the economic deprivation and isolation of the area. The analysis focuses on The Shepherd of the Hills, The Re-Creation of Brian Kent, and Ma Cinderella, examining how Wright portrays rural poverty, the self-sufficiency of Ozark natives, and the effects of poverty on their lives. While …

Leveraging Ai Tools In University Writing Instruction: Enhancing Student Success While Upholding Academic Integrity, Daisuke Akiba, Rebecca Garte

Publications and Research

The emergence of AI-powered Large Language Models (LLMs), such as ChatGPT and Google Gemini, presents both opportunities and challenges for higher education, particularly regarding academic integrity in writing instruction. This exploratory study examines a novel pedagogical approach that integrates LLMs as required feedback tools in a university-level psychology writing assignment. The exclusive online approach emphasizes improvement through revision, requiring students to obtain AI-generated feedback on ungraded initial drafts based on an instructor-provided rubric, with final assessment focused on the quality of subsequent revisions. Analysis of survey data from 39 undergraduate students, incorporating both quantitative measures and qualitative responses, revealed several …

Patterns In Gray Wolf Pup Survival And Recruitment In Northern Minnesota, Andrea Hynes

All NMU Master's Theses

Knowledge of how and why the vital rates of wildlife populations change through and over time is crucial for understanding wildlife population dynamics. Because estimating gray wolf pup survival is challenging, our understanding of pup survival and the factors influencing survival and recruitment is limited. I used a combination of litter counts and video observations from a large remote camera array to estimate annual wolf pup survival and recruitment and to evaluate intra-annual patterns in pup survival and recruitment within the Greater Voyageurs Ecosystem, MN, USA. Mean annual pup survival during 2019–2023 was 0.24, and the mean annual recruitment rate …

Cutting Mechanisms And Control Systems Required For Precision Cutting With An Autonomous Lettuce Harvester, Aidan V. Fischer

Master's Theses

43% of California’s vast land is consumed for agricultural production to feed the United States and other nations Lettuce production alone brought in over $3 billion in 2022 in California. Most of the lettuce today is still harvested by hand using large groups of seasonal laborers; however, this has become increasingly difficult with an immigrant labor shortage. The objective of this study was to design a low-cost autonomous lettuce harvester prototype and evaluate the performance of the harvester capable of harvesting romaine lettuce preciously on a raised bed.

The harvester is equipped with an electrohydraulic control system that is used …

Strategizing Holidays: The Art Of Meaningful Togetherness, Paul Hong

KAUPA Letters

No abstract provided.

Pacific Rxtracts - December 2024, Pacific Rxtracts

Pacific RxTracts

Articles

• Attruby: A Promising Treatment for Transthyretin Amyloid Cardiomyopathy
• Triple Threat: GMRx2, An Emerging Low-Dose Triple Pill For Hypertension
• New Treatment for Hemophilia A or B
• Breaking the Placebo Barrier: FDA Review Challenges Effectiveness of Popular Decongestant
• Exploring Bempedoic Acid: Potential Benefits for Statin-Intolerant Patients and Liver Health
• The Flu Vaccine: Meeting You Where You Are
• Unique Application of Statins for Radiotherapy-Induced Cardiotoxicity
• One Shot, Two Solutions: How Semaglutide Combats Obesity and Knee Osteoarthritis

Geochemical Evidence Of Drying During The 4.2 Ka Event In Sediment Cores From The Yucatán Peninsula, Mexico, Derek K. Gibson, Jonathan Obrist-Farner, Alex Correa-Metrio, Alejandra Rodriguez-Abaunza, Carlos Castañeda-Posadas

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Tropical hydroclimate variability during the Middle and Late Holocene was investigated using geochemical indicators of local-scale precipitation and evaporation preserved in sediment cores from two sites in the Mexican Yucatán Peninsula. Scanning X-Ray fluorescence spectroscopy data show generally decreasing precipitation trends during the Early and Middle Holocene. During the transition between the Middle and Late Holocene, geochemical evidence of reduced watershed erosion and increased evaporation indicate that a centennial-scale drying event impacted the region between 4.3 and 4.0 ka (kilo-anum; thousand years before present). These findings suggest that the 4.2 ka drying event, which has been previously recorded in Europe, …

Decoding Emotions: Unveiling Facial Expressions Through Acoustic Sensing With Contrastive Attention, Guangjing Wang, Juexing Wang, Ce Zhou, Weikang Ding, Huacheng Zeng, Tianxing Li, Qiben Yan

Computer Science Faculty Research & Creative Works

Expression recognition holds great promise for applications such as content recommendation and mental healthcare by accurately detecting users’ emotional states. Traditional methods often rely on cameras or wearable sensors, which raise privacy concerns and add extra device burdens. In addition, existing acoustic-based methods struggle to maintain satisfactory performance when there is a distribution shift between the training dataset and the inference dataset. In this paper, we introduce FacER+, an active acoustic facial expression recognition system, which eliminates the requirement for external microphone arrays. FacER+ extracts facial expression features by analyzing the echoes of near-ultrasound signals emitted between the 3D facial …

From A Timeline Contact Graph To Close Contact Tracing And Infection Diffusion Intervention, Yipeng Zhang, Zhifeng Bao, Yuchen Li, Baihua Zheng, Xiaoli Wang

Research Collection School Of Computing and Information Systems

This paper proposes a novel graph structure to address the problems of information spreading in a real-world, frequently updating graph, with two main contributions at hand: accurately tracing infection diffusion according to fine-grained user movements and finding vulnerable vertices under the virus immunization scenario to mitigate infection diffusion. Unlike previous work that primarily predicts the long-term epidemic trend at the census level, this study aims to intervene in the short-term at the individual level. Therefore, two downstream tasks are formulated to illustrate practicalities: Epidemic Mitigating in Public Area problem (EMA) and Epidemic Maximized Spread in Public Area problem (ESA), where …

Adan: Adaptive Nesterov Momentum Algorithm For Faster Optimizing Deep Models, Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan

Research Collection School Of Computing and Information Systems

In deep learning, different kinds of deep networks typically need different optimizers, which have to be chosen after multiple trials, making the training process inefficient. To relieve this issue and consistently improve the model training speed across deep networks, we propose the ADAptive Nesterov momentum algorithm, Adan for short. Adan first reformulates the vanilla Nesterov acceleration to develop a new Nesterov momentum estimation (NME) method, which avoids the extra overhead of computing gradient at the extrapolation point. Then Adan adopts NME to estimate the gradient's first- and second-order moments in adaptive gradient algorithms for convergence acceleration. Besides, we prove that …

Modeling And Regulating A Ride-Sourcing Market Integrated With Vehicle Rental Services, Dong Mo, Hai Wang, Zeen Cai, W. Y. Szeto, Xiqun (Michael) Chen

Research Collection School Of Computing and Information Systems

With the popularity of on-demand ride services worldwide, ride-sourcing platforms must maintain an adequate fleet size and cope with growing travel demand. Recently, platforms have attempted to provide vehicle rental services to drivers who do not own cars, then recruited them to provide on demand ride services. This helps lower the entry barrier for drivers and offers another profitable business for platforms. From the government's perspective, however, it is challenging to coordinately regulate a ride-sourcing business and vehicle rental business. This paper proposes a bi-level optimization model to investigate how the government regulates the ride-sourcing market integrated with vehicle rental …

Towards Privacy-Aware Iot Communications: Delegable, Revocable, And Efficient, Pengfei Wu, Jianfei Sun, Guomin Yang, Robert H. Deng

Research Collection School Of Computing and Information Systems

The Internet of Things (IoT) is widely recognized for its potential to enhance efficiency and productivity across various industries. However, its increasing prevalence has also made it a more attractive target for cybercriminals. While many advanced cryptographic solutions have been developed to secure IoT, some practical security and privacy issues such as self-sovereign delegation, flexible revocation, and lightweight access remain inadequately addressed in existing solutions. In this paper, we propose PLIC, a Privacy-aware Lightweight IoT Communication scheme, which not only enables any authorized user to flexibly delegate their lightweight access privileges to other delegatees, such that they can also access …

Ohss: Optimizing Homomorphic Secret Sharing To Support Fast Matrix Multiplication, Shuguang Zhang, Jianli Bai, Kun Tu, Ziyue Yin, Chan Liu

Research Collection School Of Computing and Information Systems

Homomorphic Secret Sharing (HSS) has evolved as a state-of-the-art methodology for achieving secure two-party computation, synthesizing the advantages of secret sharing and homomorphic encryption. This amalgamation ensures minimal computational and communicational overhead, making it particularly adept at arithmetic operations. However, HSS faces challenges in scalability and efficiency when confronted with extensive matrix operations, including both matrix-vector and matrix-matrix multiplications, which are fundamental in numerous privacy-preserving computations, notably within the realm of privacy-preserving machine learning. In this research, we introduce Optimized Homomorphic Secret Sharing (OHSS), a refined version of HSS, crafted to address these limitations. Our contributions include enhancements to the …

Ai Is A Viable Alternative To High Throughput Screening: A 318-Target Study, Izhar Wallach, Denzil Bernard, Kong Nguyen, Gregory Ho, Adrian Morrison, Adrian Stecula, Andreana Rosnik, Ann Marie O'Sullivan, Aram Davtyan, Ben Samudio, Bill Thomas, Brad Worley, Brittany Butler, Christian Laggner

Chemistry Faculty Research & Creative Works

High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, …

Collaboration! Towards Robust Neural Methods For Routing Problems, Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen

Research Collection School Of Computing and Information Systems

Despite enjoying desirable efficiency and reduced reliance on domain expertise, existing neural methods for vehicle routing problems (VRPs) suffer from severe robustness issues – their performance significantly deteriorates on clean instances with crafted perturbations. To enhance robustness, we propose an ensemble-based Collaborative Neural Framework (CNF) w.r.t. the defense of neural VRP methods, which is crucial yet underexplored in the literature. Given a neural VRP method, we adversarially train multiple models in a collaborative manner to synergistically promote robustness against attacks, while boosting standard generalization on clean instances. A neural router is designed to adeptly distribute training instances among models, enhancing …

Flexfl: Heterogeneous Federated Learning Via Apoz-Guided Flexible Pruning In Uncertain Scenarios, Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen

Research Collection School Of Computing and Information Systems

Along with the increasing popularity of Deep Learning (DL) techniques, more and more Artificial Intelligence of Things (AIoT) systems are adopting federated learning (FL) to enable privacy-aware collaborative learning among AIoT devices. However, due to the inherent data and device heterogeneity issues, existing FL-based AIoT systems suffer from the model selection problem. Although various heterogeneous FL methods have been investigated to enable collaborative training among heterogeneous models, there is still a lack of i) wise heterogeneous model generation methods for devices, ii) consideration of uncertain factors, and iii) performance guarantee for large models, thus strongly limiting the overall FL performance. …

Inverse Factorized Soft Q-Learning For Cooperative Multi-Agent Imitation Learning, The Viet Bui, Tien Mai, Thanh Nguyen

Research Collection School Of Computing and Information Systems

This paper concerns imitation learning (IL) in cooperative multi-agent systems.The learning problem under consideration poses several challenges, characterized by high-dimensional state and action spaces and intricate inter-agent dependencies. In a single-agent setting, IL was shown to be done efficiently via an inverse soft-Q learning process. However, extending this framework to a multi-agent context introduces the need to simultaneously learn both local value functions to capture local observations and individual actions, and a joint value function for exploiting centralized learning.In this work, we introduce a new multi-agent IL algorithm designed to address these challenges. Our approach enables thecentralized learning by leveraging …