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2025 Georgia Southern University Softball Statistics, Georgia Southern University

Women's Softball Records

No abstract provided.

2024 Georgia Southern University Softball Media Guide, Georgia Southern University

Women's Softball Records

No abstract provided.

Risk Spillover Effect Of China-Asean Supply Chains: Insights Of Industrial Transfer, Zeyang Bian, Yuning Zhang, Keng Siau, Yaqian Zhang, Jianjia He

Research Collection School Of Computing and Information Systems

As labour costs in China increase, labour-intensive industries are migrating to ASEAN countries, attracted by lower labour costs and market potential. This shift not only affects the economies of China and ASEAN but also reshapes the global manufacturing landscape. This paper investigates the correlation and spillover of supply chain risks using production exposure indicators derived from inter-country input-output data and the R-Vine Copula model. We assess the risk spillover of each country within the global supply chain. Our findings indicate that industrial relocation can significantly alter supply chain structures, thereby affecting the concentration and direction of risks. While China's role …

An Agent-Based Computational Finance Simulation Model To Study Market Efficiency, Wei Feng, Keng Siau, Wee-Yeap Lau, Lim-Thye Goh, Haonan Chen

Research Collection School Of Computing and Information Systems

The advancement of computational modeling, data systems, and digital infrastructure has enabled the rise of agent-based computational finance (ACF). This study models interactions among heterogeneous investors. By embedding behavioral logics such as environmental, social, and governance (ESG) preferences and volatility thresholds, the model captures microstructural dynamics under different trading rules. Using ACF, the authors compare transaction plus 0 day (T+0) to transaction plus 1 day (T+1). Results show that T+0 improves price discovery, deepens liquidity, and reduces transaction costs. From a computational perspective, this research contributes to ACF by showing how policy logic and investor heterogeneity can be encoded and …

More Effective Javascript Breaking Change Detection Via Dynamic Object Relation Graph, Dezhen Kong, Jiakun Liu, Chao Ni, David Lo, Lingfeng Bao

Research Collection School Of Computing and Information Systems

JavaScript libraries are characterized by their widespread use, frequent code changes, and a high tolerance for backward incompatible changes. Awareness of such breaking changes can help developers adapt to version updates and avoid negative impacts. Several tools have been targeted to or can be used to detect breaking change detection in the JavaScript community. However, these tools detect breaking changes using different ways, and there are currently no systematic reviews of these approaches. From a preliminary study on popular JavaScript libraries, we find that existing approaches, including simple regression testing, model-based testing and type differencing cannot detect many breaking changes …

Don’T Complete It! Preventing Unhelpful Code Completion For Productive And Sustainable Neural Code Completion Systems, Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li, David Lo

Research Collection School Of Computing and Information Systems

Currently, large pre-trained language models are widely applied in neural code completion systems. Though large code models significantly outperform their smaller counterparts, around 70% of displayed code completions from Github Copilot are not accepted by developers. Being reviewed but not accepted, their help to developer productivity is considerably limited and may conversely aggravate the workload of developers, as the code completions are automatically and actively generated in state-of-the-art code completion systems as developers type out once the service is enabled. Even worse, considering the high cost of the large code models, it is a huge waste of computing resources and …

Hemiplegic Shoulder Pain: A Narrative Review, Yeh-Kai Liao, Chueh-Hung Wu, Levent Özçakar

Rehabilitation Practice and Science

Hemiplegic shoulder pain is a common post-stroke complication that negatively affects functional recovery. It is caused by both mechanical and neurological factors. Prevention focuses on proper positioning, patient education, and maintenance of motion. Treatment remains largely conservative; with increasing research surrounding injection therapies, including intra-articular corticosteroid injection, subacromial hyaluronic acid injection, suprascapular nerve blocks, and botulinum toxin injection, all of which have demonstrated improved pain control. Functional electrical stimulation appears to be beneficial, and adjunct therapies such as supportive devices and robotic training may further enhance conventional treatment. Herewith, evidence regarding medications and acupuncture remains limited. Emerging treatments including high-intensity …

Current Injection Treatment For Adhesive Capsulitis, A Narrative Review, Laurence Roy-Bélanger, Tian Yue Ding, Édouard Marcoux, Mathieu Boudier-Revéret

Rehabilitation Practice and Science

This narrative review outlines the current practices related to ultrasound-guided (USG) injection treatments for adhesive capsulitis (AC), including injection sites, approaches, medications, and doses.

USG procedures are increasingly accessible for AC, offering diverse injection approaches and medication dosing. Given the methodological variations in existing studies, a summary of current practices is essential. We conducted a narrative review of recent literature retrieved from computerized databases.

Glenohumeral (GH) and coracohumeral ligament (CHL) injections may improve outcomes for AC, with some evidence suggesting potential benefits of targeting the CHL. Subacromial bursa injections alone appear to be less effective. Multi-site injection techniques show promising …

Unveiling The Role Of The Suprascapular Nerve In Painful Shoulder: A Narrative Review With A Focus On Ultrasound-Guided Diagnosis And Intervention, Hong Hong, Wei-Ting Wu, Ke-Vin Chang

Rehabilitation Practice and Science

Suprascapular nerve disorders are a significant yet often underdiagnosed cause of shoulder pain and dysfunction, stemming from the nerve's critical role in shoulder stability and mobility through its innervation of the supraspinatus and infraspinatus muscles. This review explores the anatomy and clinical relevance of the suprascapular nerve, highlighting the need for accurate diagnosis in cases of pain, weakness, or functional impairment that mimic other shoulder conditions. Among diagnostic modalities, ultrasound has become a vital tool, providing real-time imaging to precisely assess nerve compression or damage. Its utility extends to therapy, with recent advancements in ultrasound-guided interventions—such as nerve blocks, corticosteroid …

Axillary Web Syndrome Following Breast Cancer Surgery: A Review Of Current Literature, Christina Soong, Tyng-Guey Wang, Shaw-Gang Shyu

Rehabilitation Practice and Science

Axillary web syndrome (AWS), a complication primarily following breast cancer surgeries involving axillary lymph node dissection (ALND), presents as painful cords extending from the axilla, impairing shoulder mobility and potentially delaying cancer treatment. This review consolidates existing knowledge on AWS, covering its clinical presentation, risk factors, pathophysiology, and management strategies. AWS typically arises within weeks post-surgery but may develop later, manifesting as fibrous cords that hinder arm movement. Diagnosis relies primarily on clinical examination, and the reported incidence varies significantly across different populations and study designs. Risk factors include ALND, younger age, low body mass index, and adjuvant therapies. The …

Multidisciplinary Approach To Managing Hypotonia And Developmental Delays Due To A Novel Gtpbp3 Mutation, Fan Mei, Ru-Lan Hsieh

Rehabilitation Practice and Science

Introduction: Hypotonia in early life is often challenging to diagnose due to its diverse etiologies, with genetic disorders accounting for about one-third of cases. A precise diagnosis using a comprehensive, multidisciplinary approach is crucial for determining prognosis, guiding treatment, and providing genetic counseling.

Case Presentation: We report the first case in Taiwan involving compound heterozygous mutations in the GTPBP3 gene. A 13-month-old girl presented with developmental delays and hypotonia despite normal prenatal screenings and a year of rehabilitation therapy. Next-generation sequencing revealed two novel mutations: c.785A>C (p.Gln262Pro), a missense mutation in Exon 5, and c.1175_1181dup (p.Ser395GlufsTer4) …

Ambulation Challenges Post High-Voltage Electrical Burn Involving Three Extremities, Complicated With Osteomyelitis: A Case Report, Chiang-Hui Huang, Katie Pei-Hsuan Wu

Rehabilitation Practice and Science

High-voltage electrical burns in occupational settings can leave detrimental injuries with immediate impact and long-term sequel. Despite extensive literature on the injury mechanism, comprehensive long-term rehabilitation descriptions for such devastating cases remain scarce. This report presents a significant traumatized high-voltage electrical injury involved three out of four extremities. A late complication with extensive tibial osteomyelitis affecting two-thirds of the bone severely compromised the patient’s ambulation potential, emphasizing the importance of segmental rehabilitation with progressive tolerance in ambulatory weight-bearing. We evaluated the patient’s physical, mental, and social component using Barthel Index, Veterans RAND 12-Item Health Survey (VR-12), and Patient-Reported Outcomes Measurement …

Clinical Application Of Intraoperative Neurophysiological Monitoring During Detethering Surgery Of A Newborn: A Case Report, Mu-Yun Lin, Hsin-Hung Chen, Tsui-Fen Yang

Rehabilitation Practice and Science

Background:

Tethered cord syndrome (TCS) is a rare congenital condition that causes abnormal tension on the spinal cord and often requires early surgical intervention to prevent progressive neurological and orthopedic deficits. However, performing detethering surgery in neonates presents unique challenges due to their immature neural pathways, which complicate intraoperative neuromonitoring (IONM).

Case Description:

We report the case of a 13-day-old neonate with TCS who underwent successful detethering surgery under advanced IONM. Double-train stimulation with a linked quadripolar montage was employed to elicit motor evoked potentials (MEPs), overcoming the challenge of monitoring immature corticospinal tracts. Additionally, subdural strip electrodes were used …

Late-Onset Sciatic Nerve Compression Due To Distal Femoral Osteochondroma, I-Fan Hsieh, Tian-Shin Yeh

Rehabilitation Practice and Science

Osteochondroma is one of the most common benign bone tumors, typically asymptomatic, and rarely causes nerve compression. Previous case reports documented nerve compression by osteochondroma arising from the proximal fibula, pelvic bone, and spine. We report a rare case of osteochondroma at the distal femur causing sciatic nerve compression with symptom onset at 42 years old. This case highlights that osteochondroma can develop at any skeletal location, and even though these lesions typically cease to grow after skeletal maturity. Individuals with a history of osteochondroma should consider it as a differential diagnosis for new symptoms even in older age to …

Dysphagia In Becker Muscular Dystrophy: A Case Report And Literature Review, Chien-Ping Chen, Hung-Jui Chuang, Yi-Chi Li, Ming-Yen Hsiao, Tyng-Guey Wang

Rehabilitation Practice and Science

Dysphagia is a recognized complication in patients with muscular dystrophies, but its characteristics in Becker muscular dystrophy (BMD) remain underexplored. This case report describes a man with BMD who developed dysphagia, initially presenting with mild symptoms but later experiencing aspiration pneumonia with respiratory failure. He regained safe oral intake after swallowing training. Three years later, he suffered worsening dysphagia following a severe coronavirus disease-2019 (COVID-19) infection, ultimately losing the ability to resume oral feeding despite months of rehabilitation. Literature on swallowing disorder in BMD reported poor mastication, reduced laryngeal elevation, and increased pharyngeal residue; however, silent aspiration, as observed in …

Effectiveness Of Fu's Subcutaneous Needling In Pain Management And Rehabilitation: A Narrative Review, Po-En Chiu, Chun-Chang Wu, De-Jian Lu, Zhonghua Fu, Li-Wei Chou

Rehabilitation Practice and Science

Fu’s Subcutaneous Needling (FSN) is a modern needling technique distinct from traditional acupuncture, primarily used for musculoskeletal pain, neuropathic conditions, and emerging applications in rehabilitation. FSN is also designated as a kind of dry needling focusing on deactivating myofascial trigger points. This review categorizes FSN-related studies into case reports, clinical trials, and animal studies, evaluating its therapeutic efficacy, safety, and mechanisms. Case reports suggest that FSN provides rapid pain relief and functional improvement, while clinical trials, including randomized controlled trials (RCTs), support its role in reducing pain and enhancing neuromuscular function despite limitations in sample size and protocol consistency. Animal …

Immersive Computer-Assisted And Traditional Balance Training Methods On Balance Performance In Young Athletes: A Randomized Comparative Study, Hsien-I Lai, Yun-Hsin Huang, Chen-Yu Chien, Chung-Lan Kao

Rehabilitation Practice and Science

Introduction: Balance is essential for athletic performance. This study compared immersive computer-assisted balance training using the Bertec Balance Advantage CDP/IVR system with traditional soft mat training in young athletes.

Methods: Twenty-two young athletes were randomly assigned to a soft mat group (n = 10) or a Bertec group (n = 12). Both groups completed four training sessions over two weeks. Balance was assessed pre- and post-training using the Sensory Organization Test (SOT), Limits of Stability (LOS) test, and Dynamic Visual Acuity (DVA) test. Two-way mixed ANOVA and Bonferroni-corrected post-hoc analyses were performed.

Results: Both groups improved in postural stability and …

Ultrasound-Guided Injection In Meralgia Paresthetica: A Narrative Review, Jia-Chi Ko, Tyng-Guey Wang, Shaw-Gang Shyu

Rehabilitation Practice and Science

Meralgia paresthetica (MP) is a neuropathic pain syndrome resulting from compression or irritation of the lateral femoral cutaneous nerve (LFCN). Traditional diagnostic approaches rely on clinical assessments and electrodiagnostic testing. Ultrasound has emerged as a non-invasive, cost-effective modality for detailed visualization of the LFCN and guiding treatment interventions.

This review explores the anatomical considerations of the LFCN, its common etiological factors, clinical presentation, current management strategies, and ultrasound-guided injection techniques. While LFCN exhibits notable anatomical variability, and it is susceptible to external compression near the inguinal ligament. Some potential causes reveal as obesity, diabetes mellitus, or surgical interventions. Patients typically …

Ultrasound-Guided Percutaneous Needle Barbotage And Ultrasonic Tenotomy For Rotator Cuff Calcific Tendinopathy, Toru Omodani

Rehabilitation Practice and Science

Rotator cuff calcific tendinopathy (RCCT) is a common source of shoulder pain caused by calcium deposits within the rotator cuff tendons. Ultrasound-guided interventions have emerged as effective, minimally invasive alternatives to surgery for symptomatic cases unresponsive to conservative treatments. This review summarizes two primary techniques: percutaneous needle barbotage and percutaneous ultrasonic tenotomy. In needle barbotage, one or two needles are inserted under ultrasound guidance to inject and aspirate saline, thereby fragmenting and removing the calcific deposit. This method yields rapid pain relief and improved shoulder function, with follow-up imaging often demonstrating near-complete deposit resolution. For particularly hard or recalcitrant deposits, …

Safety In Dry Needling: The Role And Contributions Of The International Dry Needling Education & Training Advisory Group (Idnetag), W Mahmoud, J. Dommerholt

Rehabilitation Practice and Science

Dry needling is an intervention that physical therapists use to address various neuromusculoskeletal pain syndromes, primarily through targeting myofascial trigger points (TrPs) in muscle tissue. This technique involves inserting thin filiform needles into specific areas to relieve pain and improve movement. Despite its therapeutic potential, concerns regarding adverse events (AEs) necessitate stringent safety protocols and guidelines. In response, the International Dry Needling Education & Training Advisory Group (IDNETAG) was established in 2023 with members from diverse professions across eight countries. IDNETAG's mission is to enhance global standards of practice, focusing on safety, education, and consistency in treatment protocols. Research indicates …

A Rare Case Of Bilateral Supraspinatus Tendon Tears With Unilateral Musculotendinous Junction Involvement In An Elderly Patient, Kanyamas Poompreecha, Patsaree Pattanasuwanna, Ya-Chu Hsu

Rehabilitation Practice and Science

Rotator cuff (RC) tears are a common cause of shoulder pain in the elderly, though tears at the musculotendinous junction (MTJ) are uncommonly observed. We present a rare case of bilateral supraspinatus tendon tears in a 68-year-old male, with unilateral involvement of the MTJ. Symptoms developed three months after resuming resistance training following left acromioclavicular dislocation surgery. Ultrasound revealed a full-thickness insertional tear on the left and a partial MTJ tear on the right. Conservative treatment led to symptom resolution without surgery. This case highlights the diagnostic value of dynamic ultrasound for subtle rotator cuff and MTJ lesions in elderly …

Inactivity In Ambulatory Hemodialysis Patients: A Multidimensional Health Assessment, Guan-Yi Huang, Ji-Tseng Fang, Ching-Chung Hsiao, Shu-Chun Huang

Rehabilitation Practice and Science

Background: Sedentary lifestyles and poor fitness are prevalent among patients undergoing maintenance hemodialysis (HD). However, no study has comprehensively evaluated multiple dimensions of physical fitness using gold-standard methods in ambulatory chronic HD patients, who represent approximately 60% of the HD population. In this study, a multidimensional health assessment -including standardized evaluations of fitness—was conducted to examine its association with physical activity levels.

Methods: This cross-sectional study assessed patients receiving maintenance hemodialysis at dialysis centers within a tertiary medical center and a regional hospital, using a comprehensive battery of evaluations. These included cardiopulmonary exercise testing, isokinetic dynamometry, dual-energy X-ray absorptiometry …

Attribute-Based Encryption With Searchable Encryption, Yang Yang

Research Collection School Of Computing and Information Systems

Attribute-based encryption (ABE) with searchable encryption is a notion that inherits the advantages of both ABE (Goyal et al., 2006) and searchable encryption (SE) (Boneh et al., 2004; Boneh and Waters, 2007) mechanisms to realize secure share and search for the outsourced data. ABE creates fine-grained access control system to prevent sensitive data from being accessed by unauthorized user or external attacker (Bethencourt et al., 2007). SE generates encrypted index for outsourced data such that it can be searched by a keyword trapdoor (or token) (Shi et al., 2007; Naveed et al., 2014), where the outsourced content and search keyword(s) …

A Survey Of Multilingual Large Language Models, Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, Philip S. Yu

Research Collection School Of Computing and Information Systems

Multilingual large language models (MLLMs) leverage advanced large language models to process and respond to queries across multiple languages, achieving significant success in polyglot tasks. Despite these breakthroughs, a comprehensive survey summarizing existing approaches and recent developments remains absent. To this end, this paper presents a unified and thorough review of the field, highlighting recent progress and emerging trends in MLLM research. The contributions of this paper are as follows. (1) Extensive survey: to our knowledge, this is the pioneering thorough review of multilingual alignment in MLLMs. (2) Unified taxonomy: we provide a unified framework to summarize the current progress …

Adapting Installation Instructions In Rapidly Evolving Software Ecosystems, Haoyu Gao, Christoph Treude, Mansooreh Zahedi

Research Collection School Of Computing and Information Systems

files play an important role in providing installation-related instructions to software users and are widely used in open source software systems on platforms such as GitHub. Software projects evolve rapidly alongside their dependencies in dynamic software ecosystems, requiring frequent updates to installation instructions. These instructions are crucial for users to start with a software project. Despite their significance, there is a lack of systematic understanding regarding the documentation efforts invested in README files and the triggers behind them. To fill the research gap, we conducted a qualitative study, investigating 400 GitHub repositories with 1,163 README commits that focused on updates …

Adversarial Generative Flow Network For Solving Vehicle Routing Problems, Ni Zhang, Jingfeng Yang, Zhiguang Cao, Xu Chi

Research Collection School Of Computing and Information Systems

Recent research into solving vehicle routing problems (VRPs) has gained significant traction, particularly through the application of deep (reinforcement) learning for end-to-end solution construction. However, many current construction-based neural solvers predominantly utilize Transformer architectures, which can face scalability challenges and struggle to produce diverse solutions. To address these limitations, we introduce a novel framework beyond Transformer-based approaches, i.e., Adversarial Generative Flow Networks (AGFN). This framework integrates the generative flow network (GFlowNet)-a probabilistic model inherently adept at generating diverse solutions (routes)-with a complementary model for discriminating (or evaluating) the solutions. These models are trained alternately in an adversarial manner to improve …

Gnnsynergy: A Multi-View Graph Neural Network For Predicting Anti-Cancer Drug Synergy, Zhifeng Hao, Jianming Zhan, Yuan Fang, Min Wu, Ruichu Cai

Research Collection School Of Computing and Information Systems

Drug combinations play very important roles in cancer therapy, as they can enhance curative efficacy and overcome drug resistance. Due to the increasing size of combinatorial space, experimental screening for all the drug combinations becomes infeasible in practice. Therefore, there is a great need to develop accurate computational approaches that can predict potential drug combinations to direct the experimental screening. In this paper, we propose a novel method called GNNSynergy to learn drug embeddings for drug synergy prediction. Given a specific cancer cell line, we propose a multi-view graph neural network framework which considers the current cell line as main …

Double Oracle Neural Architecture Search For Game Theoretic Deep Learning Models, Aye Phyu Phyu Aung, Xinrun Wang, Ruiyu Wang, Hau Chan, Bo An, Xiaoli Li, J. Senthilnath

Research Collection School Of Computing and Information Systems

In this paper, we propose a new approach to train deep learning models using game theory concepts including Generative Adversarial Networks (GANs) and Adversarial Training (AT) where we deploy a double-oracle framework using best response oracles. GAN is essentially a two-player zero-sum game between the generator and the discriminator. The same concept can be applied to AT with attacker and classifier as players. Training these models is challenging as a pure Nash equilibrium may not exist and even finding the mixed Nash equilibrium is difficult as training algorithms for both GAN and AT have a large-scale strategy space. Extending our …

An End-To-End Bi-Objective Approach To Deep Graph Partitioning, Pengcheng Wei, Yuan Fang, Zhihao Wen, Zheng Xiao, Binbin Chen

Research Collection School Of Computing and Information Systems

Graphs are ubiquitous in real-world applications, such as computation graphs and social networks. Partitioning large graphs into smaller, balanced partitions is often essential, with the biobjective graph partitioning problem aiming to minimize both the“cut” across partitions and the imbalance in partition sizes. However, existing heuristic methods face scalability challenges or overlook partition balance, leading to suboptimal results. Recent deep learning approaches, while promising, typically focus only on node-level features and lack a truly end-to-end framework, resulting in limited performance. In this paper, we introduce a novel method based on graph neural networks (GNNs) that leverages multilevel graph features and addresses …

Automated Program Refinement: Guide And Verify Code Large Language Model With Refinement Calculus, Yufan Cai, Zhe Hou, David Sanan, Xiaokun Luan, Yun Lin, Jun Sun, Jin Song Dong

Research Collection School Of Computing and Information Systems

Recently, the rise of code-centric large language models (LLMs) appears to have reshaped the software engineering world with low-barrier tools like Copilot that can generate code easily. However, there is no correctness guarantee for the code generated by LLMs, which suffer from the hallucination problem, and their output is fraught with risks. Besides, the end-to-end process from specification to code through LLMs is a non-transparent and uncontrolled black box. This opacity makes it difficult for users to understand and trust the generated code. Addressing these challenges is both necessary and critical. In contrast, program refinement transforms high-level specification statements into …