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Articles 44941 - 44970 of 1439828

Full-Text Articles in Entire DC Network

Alterations In Gut Microbiome Composition And Increased Inflammatory Markers In Post-Covid-19 Individuals, Tatiana Barichello, Bruno Kluwe-Schiavon, Laura A Borba, Lucas C Pedro, Flávia S Niero, Laísa N Dos Santos, Letícia M Leonardo, Zuleide M Ignácio, Rodrigo Morales, Luciane B Ceretta, Gislaine Z Reus Jun 2025

Alterations In Gut Microbiome Composition And Increased Inflammatory Markers In Post-Covid-19 Individuals, Tatiana Barichello, Bruno Kluwe-Schiavon, Laura A Borba, Lucas C Pedro, Flávia S Niero, Laísa N Dos Santos, Letícia M Leonardo, Zuleide M Ignácio, Rodrigo Morales, Luciane B Ceretta, Gislaine Z Reus

Faculty, Staff and Student Publications

Dysfunctions in the immune system and alterations in the microbiome composition following SARS-CoV-2 infection contribute to persistent neurological issues observed in long COVID-19 survivors. We hypothesize that alterations in the gut microbiome composition and peripheral inflammatory profile following COVID-19 may play pivotal roles in behavior changes among individuals experiencing long-term illness. This cross-sectional study included a sample of post-COVID-19 and non-COVID-19 subjects. We assessed the presence of psychiatric conditions utilizing standardized diagnostic criteria, Hamilton Rating Scale for Anxiety (HAM-A), Hamilton Rating Scale for Depression (HAM-D), Biological Rhythms in Neuropsychiatry Assessment Interview (BRIAN), and Functional Assessment Short Test (FAST). Plasma samples …

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Exploring Potential Ethnic Bias Among Mmpi-3 Scales In Assessing Personality Psychopathology, Nicole Shumaker, Tessa Long, Andy Torres, Alfonso Mercado, Ryan J Marek, Jaime L Anderson Jun 2025

Exploring Potential Ethnic Bias Among Mmpi-3 Scales In Assessing Personality Psychopathology, Nicole Shumaker, Tessa Long, Andy Torres, Alfonso Mercado, Ryan J Marek, Jaime L Anderson

Faculty, Staff and Student Publications

This study examined statistical bias in the measurement of personality psychopathology in the Latinx population using the Minnesota Multiphasic Personality Inventory-3 (MMPI-3). Data were extracted from two studies that yielded a composite data set of 103 White individuals and 250 Latinx individuals. All participants were administered the MMPI-2-Restructured Form-Extended Battery (MMPI-2-RF-EX) or MMPI-3 and the Personality Inventory for the DSM-5 Short Form (PID-5-SF). First, we conducted correlation analyses between theoretically overlapping scales of the PID-5-SF and the MMPI-3 among White and Latinx individuals. The majority of theoretically associated scales were found to be at least moderately associated in the …

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Developing Human-Autonomy Teaming Strategies For Maritime Cyber Security Resilience In Uncrewed Autonomous And Remote Surface Vessel Operations, Juan Palbar Misas, Kimberly Tam, Kevin Jones Jun 2025

Developing Human-Autonomy Teaming Strategies For Maritime Cyber Security Resilience In Uncrewed Autonomous And Remote Surface Vessel Operations, Juan Palbar Misas, Kimberly Tam, Kevin Jones

School of Engineering, Computing and Mathematics

The development of new technologies and digital capabilities for Uncrewed Autonomous and Remote Surface Vessel Operations (UARSVO) is driven by various industry stakeholders. This evolution impacts the maritime industry's human role, transforming from Human-Autonomy Hybrid (HAH) to Human-Autonomy Teaming (HAT). Human-Autonomy Collaboration (HAC) is vital for maritime safety, security, and sustainability, particularly in light of increasing cyber incidents in remote operations, which necessitates greater cyber resilience due to technology at sea and ashore. This paper aims to provide a holistic socio-technical approach to investigate and present an overview of the current state-of-the-art research, focusing on the human perspective in maritime …

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A Cfd Analysis Of Equipment Fires In An Underground Development Heading For Improved Auxiliary Ventilation Design, Oluwafemi B. Salami, Jurgen F. Brune, Guang Xu Jun 2025

A Cfd Analysis Of Equipment Fires In An Underground Development Heading For Improved Auxiliary Ventilation Design, Oluwafemi B. Salami, Jurgen F. Brune, Guang Xu

Mining Engineering Faculty Research & Creative Works

Abstract: This study investigates the intricacies of equipment fires in a blind development heading of an underground mine using computational fluid dynamics (CFD). A series of fire dynamic simulations (FDS) were conducted for various ventilation velocities in the main airway, and with different distance between the auxiliary ventilation duct outlet to the blind working face. The impacts of the ventilation velocity in the main airway, and separation distance between the duct outlet to the blind face on temperature distribution and smoke spread mechanism were investigated. The findings indicate that the distance of the auxiliary ventilation duct outlet to the working …

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On-Demand Heterogeneous Drone Delivery Problem, Xupeng Wen, Zhiguang Cao, Shu Xu, Dapeng Ren, Guohua Wu, Yaoxin Wu Jun 2025

On-Demand Heterogeneous Drone Delivery Problem, Xupeng Wen, Zhiguang Cao, Shu Xu, Dapeng Ren, Guohua Wu, Yaoxin Wu

Research Collection School Of Computing and Information Systems

In the on-demand problem domain, actual demand frequently deviates from the expected demand. This paper intricately delves into the exploration of on-demand heterogeneous multi-drone routing problem (ODHDRP), in which a transport drone carries multiple terminal drones to subregions in the first echelon, and the terminal drones deliver parcels during a flight trip to customers with demands in subregions to maintain economies of scale in the second echelon. We formulate the customer demands using a normal distribution, and exploit a reliability model of customer demands with chance constraints. To solve the ODHDRP efficiently, we propose a hybrid iterative optimisation heuristic (HIOH) …

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Moditector: Module-Directed Testing For Autonomous Driving Systems, Renzhi Wang, Mingfei Cheng, Xiaofei Xie, Yuan Zhou, Lei Ma Jun 2025

Moditector: Module-Directed Testing For Autonomous Driving Systems, Renzhi Wang, Mingfei Cheng, Xiaofei Xie, Yuan Zhou, Lei Ma

Research Collection School Of Computing and Information Systems

Testing Autonomous Driving Systems (ADSs) is crucial for ensuring their safety, reliability, and performance. Despite numerous testing methods available that can generate diverse and challenging scenarios to uncover potential vulnerabilities, these methods often treat ADS as a black-box, primarily focusing on identifying system-level failures like collisions or near-misses without pinpointing the specific modules responsible for these failures. This lack of root causes understanding for the failures hinders effective debugging and subsequent system repair. Furthermore, current approaches often fall short in generating violations that adequately test the individual modules of an ADS from a system-level perspective, such as perception, prediction, planning, …

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Demystifying Memorization In Llm-Based Program Repair Via A General Hypothesis Testing Framework, Jiaolong Kong, Xiaofei Xie, Shangqing Liu Jun 2025

Demystifying Memorization In Llm-Based Program Repair Via A General Hypothesis Testing Framework, Jiaolong Kong, Xiaofei Xie, Shangqing Liu

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have achieved remarkable success in various applications, particularly in code-related tasks such as code generation and program repair, setting new performance benchmarks. However, the extensive use of large training corpora raises concerns about whether these achievements stem from genuine understanding or mere memorization of training data—a question often overlooked in current research. This paper aims to study the memorization issue within LLM-based program repair by investigating whether the correct patches generated by LLMs are the result of memorization. The key challenge lies in the absence of ground truth for confirming memorization, leading to various ad-hoc methods …

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Collaborative Tree Search For Enhancing Embodied Multi-Agent Collaboration, Lizheng Zu, Lin Lin, Song Fu, Na Zhao, Pan Zhou Jun 2025

Collaborative Tree Search For Enhancing Embodied Multi-Agent Collaboration, Lizheng Zu, Lin Lin, Song Fu, Na Zhao, Pan Zhou

Research Collection School Of Computing and Information Systems

Embodied agents based on large language models (LLMs) face significant challenges in collaborative tasks, requiring effective communication and reasonable division of labor to ensure efficient and correct task completion. Previous approaches with simple communication patterns carry erroneous or incoherent agent actions, which can lead to additional risks. To address these problems, we propose Cooperative Tree Search (CoTS), a framework designed to significantly improve collaborative planning and task execution efficiency among embodied agents. CoTS guides multi-agents to discuss long-term strategic plans within a modified Monte Carlo tree, searching along LLMdriven reward functions to provide a more thoughtful and promising approach to …

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Modfinity: Unsupervised Domain Adaptation With Multimodal Information Flow Intertwining, Shanglin Liu, Jianming Lv, Jingdan Kang, Huaidong Zhang, Zequan Liang, Shengfeng He Jun 2025

Modfinity: Unsupervised Domain Adaptation With Multimodal Information Flow Intertwining, Shanglin Liu, Jianming Lv, Jingdan Kang, Huaidong Zhang, Zequan Liang, Shengfeng He

Research Collection School Of Computing and Information Systems

Multimodal unsupervised domain adaptation leverages unlabeled data in the target domain to enhance multimodal systems continuously. While current state-of-the-art methods encourage interaction between sub-models of different modalities through pseudo-labeling and feature-level exchange, varying sample quality across modalities can lead to the propagation of inaccurate information, resulting in error accumulation. To address this, we propose Modal-Affinity Multimodal Domain Adaptation (MODfinity), a method that dynamically manages multimodal information flow through fine-grained control over teacher model selection, guiding information intertwining at both feature and label levels. By treating labels as an independent modality, MODfinity enables balanced performance assessment across modalities, employing a novel …

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A Knowledge Enhanced Large Language Model For Bug Localization, Yue Li, Bohan Liu, Ting Zhang, Zhiqi Wang, David Lo, Lanxin Yang, Jun Lyu, He Zhang Jun 2025

A Knowledge Enhanced Large Language Model For Bug Localization, Yue Li, Bohan Liu, Ting Zhang, Zhiqi Wang, David Lo, Lanxin Yang, Jun Lyu, He Zhang

Research Collection School Of Computing and Information Systems

A significant number of bug reports are generated every day as software systems continue to develop. Large Language Models (LLMs) have been used to correlate bug reports with source code to locate bugs automatically. The existing research has shown that LLMs are effective for bug localization and can increase software development efficiency. However, these studies still have two limitations. First, these models fail to capture context information about bug reports and source code. Second, these models are unable to understand the domain-specific expertise inherent to particular projects, such as version information in projects that are composed of alphanumeric characters without …

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Efficient And Green Large Language Models For Software Engineering: Literature Review, Vision, And The Road Ahead, Jieke Shi, Zhou Yang, David Lo Jun 2025

Efficient And Green Large Language Models For Software Engineering: Literature Review, Vision, And The Road Ahead, Jieke Shi, Zhou Yang, David Lo

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have recently shown remarkable capabilities in various software engineering tasks, spurring the rapid growth of the Large Language Models for Software Engineering (LLM4SE) area. However, limited attention has been paid to developing efficient LLM4SE techniques that demand minimal computational cost, time, and memory resources, as well as green LLM4SE solutions that reduce energy consumption, water usage, and carbon emissions. This article aims to redirect the focus of the research community toward the efficiency and greenness of LLM4SE, while also sharing potential research directions to achieve this goal. It commences with a brief overview of the significance …

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Deepvec: State-Vector Aware Test Case Selection For Enhancing Recurrent Neural Network, Zhonghao Jiang, Meng Yan, Li Huang, Weifeng Sun, Chao Liu, Song Sun, David Lo Jun 2025

Deepvec: State-Vector Aware Test Case Selection For Enhancing Recurrent Neural Network, Zhonghao Jiang, Meng Yan, Li Huang, Weifeng Sun, Chao Liu, Song Sun, David Lo

Research Collection School Of Computing and Information Systems

Deep Neural Networks (DNN) have realized significant achievements across various application domains. There is no doubt that testing and enhancing a pre-trained DNN that has been deployed in an application scenario is crucial, because it can reduce the failures of the DNN. DNN-driven software testing and enhancement require large amounts of labeled data. The high cost and inefficiency caused by the large volume of data of manual labeling, and the time consumption of testing all cases in real scenarios are unacceptable. Therefore, test case selection technologies are proposed to reduce the time cost by selecting and only labeling representative test …

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Collision Kinematics For Fast Positron Impact Ionization Of Argon, Robert D. Dubois, Károly Tőkési Jun 2025

Collision Kinematics For Fast Positron Impact Ionization Of Argon, Robert D. Dubois, Károly Tőkési

Physics Faculty Research & Creative Works

Classical trajectory Monte Carlo calculations for 1 keV positron impact ionization of argon are presented. A combination of energy-weighted triple differential cross-sections is shown to provide good to excellent agreement compared with experimental data, depending on the ejected electron azimuthal angular acceptance range used to define in-plane scattering. For ejected electron energies less than 100 eV, information about the influence of pre- (the impact parameter) and post-(the direction of scattering) collision kinematics on the triple differential level is obtained. An overall picture of these kinematic properties is also presented for single differential cross-sections as a function of ejected electron energy …

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Performance Evaluation Of Aminated Multi-Walled Carbon Nanotubes Incorporated With Green Synthesized Iron Nanoparticles For Toxic Dyes Sequestration From Textile Wastewater, Titus Chinedu Egbosiuba, Cynthia Chukwuemeka, Jonah Chukwudi Umeuzuegbu, Nwanneka Chibuzo Mmonwuba, Ugochukwu Ewuzie, Monday Uchenna Okoronkwo, Valentine Chikaodili Anadebe, Saheed Mustapha, Ambali Saka Abdulkareem, Jimoh Oladejo Tijani, Ashish Patel, Virendra Kumar Yadav Jun 2025

Performance Evaluation Of Aminated Multi-Walled Carbon Nanotubes Incorporated With Green Synthesized Iron Nanoparticles For Toxic Dyes Sequestration From Textile Wastewater, Titus Chinedu Egbosiuba, Cynthia Chukwuemeka, Jonah Chukwudi Umeuzuegbu, Nwanneka Chibuzo Mmonwuba, Ugochukwu Ewuzie, Monday Uchenna Okoronkwo, Valentine Chikaodili Anadebe, Saheed Mustapha, Ambali Saka Abdulkareem, Jimoh Oladejo Tijani, Ashish Patel, Virendra Kumar Yadav

Chemical and Biochemical Engineering Faculty Research & Creative Works

This study evaluates the performance of aminated multi-walled carbon nanotubes (AM-MWCNTs) integrated with zerovalent iron nanoparticles (ZVI) synthesized using cashew leaf (Anacardium occidentale) extract (AM-MWCNTs@ZVI) for the removal of Congo Red (CR) and Methylene Blue (MB) dyes from textile industrial wastewater. The nanocomposite was characterized using FTIR, XRD, BET, HRSEM, and HRTEM analyses, confirming its functional groups, crystalline structure, and enhanced surface area of 1050.4 m2/g. The ecological risk degree of the textile pollutants was assessed to determine the percentage concentrations of crystal violet, Congo red, methyl orange, methylene blue and rhodamine B. Batch adsorption experiments identified optimal …

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A Critical Evaluation Of The Criticisms Against Neutrosophic Statistical Methods, Muhammad Aslam, Abdulrahman Alaita, Florentin Smarandache Jun 2025

A Critical Evaluation Of The Criticisms Against Neutrosophic Statistical Methods, Muhammad Aslam, Abdulrahman Alaita, Florentin Smarandache

Neutrosophic Systems with Applications

Neutrosophic statistical analysis has gained attention for incorporating the degree of indeterminacy when analyzing imprecise and interval data under uncertainty–-an aspect often overlooked by classical statistics, fuzzy statistical analysis, and interval statistics. Recently, critical discussions have emerged regarding the use and applications of neutrosophic statistics, with some questioning its usefulness and validity. In this paper, we present a critical assessment of the existing literature, focusing on areas where misunderstandings and misinterpretations of neutrosophic statistical methods have occurred. We also examine flawed comparisons made between the results of neutrosophic statistics and interval statistics. Furthermore, substantial issues have been identified in the …

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Effect Of Relative Isometric Strength On Countermovement Jump Performance In Professional And Semi-Professional Soccer Players, Nicholas Joel Ripley, Jack Fahey, Nabil Hassim, Paul Comfort Jun 2025

Effect Of Relative Isometric Strength On Countermovement Jump Performance In Professional And Semi-Professional Soccer Players, Nicholas Joel Ripley, Jack Fahey, Nabil Hassim, Paul Comfort

Research outputs 2022 to 2026

As powerful actions commonly proceed goal scoring opportunities within soccer, enhancing powerful actions could be essential to optimize performance. There is a large body of evidence supporting the positive associations between maximal isometric mid-thigh pull force-generating qualities and jump performance. Objectives: The purpose of this study was to determine if relative maximal isometric force production can discriminate between higher- and lower-performing jumpers among professional and semi-professional soccer players. As such, it was hypothesized that stronger players would have a greater jump performance than weaker players. Methods: An observational cross-sectional research design was used to assess ballistic and isometric force production …

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Структурно-Семантическая Модель Матричной Таблицы Глаголов Звучания: К Реконструкции Лексической Системы, Irina V. Ivliyeva Jun 2025

Структурно-Семантическая Модель Матричной Таблицы Глаголов Звучания: К Реконструкции Лексической Системы, Irina V. Ivliyeva

Arts, Languages and Philosophy Faculty Research & Creative Works

цель статьи – провести структурно-семантический анализ авторской таблицы веб-извлечения глагольных форм. Матричная таблица форм глаголов звучания рассматривается как инновационный лексикографический инструмент, обладающий способностью не только фиксировать уже существующие единицы, но и выявлять потенциальные формы глаголов, находящиеся за пределами кодификационных норм. Работа направлена на описание структуры, принципов построения и способов наполнения данной таблицы. Проводится сопоставление с традиционными лексикографическими источниками. Особое внимание уделяется семантическому значению незаполненных ячеек, способности таблицы к синтезу новых форм и её потенциалу как прогностического инструмента в сфере лексики, словообразования и словообразовательного синтеза.

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How Regulations Impact Contractors In California: Licensing, Insurance, Bonding & Permitting, Byron Rolando Calderon Cifuentes Jun 2025

How Regulations Impact Contractors In California: Licensing, Insurance, Bonding & Permitting, Byron Rolando Calderon Cifuentes

Construction Management

This senior project researches the impact of regulatory requirements, specifically licensing, insurance, bonding, and permitting, on contractors in California. The study addresses the question: How do regulations affect contractors’ ability to operate and grow? To examine this, qualitative interviews were conducted with six industry professionals, including general contractors, specialty contractors, and design-build firms. Additionally, 25 survey responses were collected from contractors and construction professionals to gain broader insights. The findings reveal that while licensing, insurance, and bonding are seen as foundational for establishing credibility and legal compliance, the permitting process presents the most significant challenge. Respondents consistently described permitting as …

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Biochar Suppresses Growth, Pupation And Eclosion Success Of A Specialist (Manduca Sexta) And A Generalist (Spodoptera Frugiperda) Insect Herbivore, Nischal Wagle, Soumya Unnikrishnan, Satinderpal Kaur, Engil Isadora Pujol Pereira, Rupesh R. Kariyat Jun 2025

Biochar Suppresses Growth, Pupation And Eclosion Success Of A Specialist (Manduca Sexta) And A Generalist (Spodoptera Frugiperda) Insect Herbivore, Nischal Wagle, Soumya Unnikrishnan, Satinderpal Kaur, Engil Isadora Pujol Pereira, Rupesh R. Kariyat

School of Earth, Environmental, & Marine Sciences Faculty Publications

Biochar is a charcoal-like substance made by the pyrolysis of organic material from agricultural and forestry waste. While biochar is well documented for altering soil physicochemical conditions, few studies have investigated its possible effects on the management of arthropod pests. Tobacco hornworm (Manduca sexta) and fall armyworm (Spodoptera frugiperda, FAW) are specialist and generalist insect herbivores respectively, that can cause significant defoliation in natural and agricultural ecosystems. In this study, we examined whether walnut shell biochar can affect growth and development of these herbivores. Specifically, we investigated how biochar influences parameters such as mass gain, length …

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Investigation Of Retention And Dehydration Of Preformed Particle Gel For Conformance Control In Fractured Carbonates, Abdulaziz A. Almakimi, Abdullah O. Almansour, Junchen Liu, Baojun Bai, Ibnelwaleed A. Hussein Jun 2025

Investigation Of Retention And Dehydration Of Preformed Particle Gel For Conformance Control In Fractured Carbonates, Abdulaziz A. Almakimi, Abdullah O. Almansour, Junchen Liu, Baojun Bai, Ibnelwaleed A. Hussein

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Preformed particle gel (PPG) treatment has proved to be among the most effective methods to reduce excessive water production in fractured reservoirs. The blocking ability of PPGs to fractures or fracture-like features is highly dependent on injected gel properties and volume. Gel dehydration during extrusion through fracture is common and has a considerable effect on gel properties, transport, and plugging efficiency. As the gel particles propagate through the fracture, continuous dehydration is often associated and causes the gel to concentrate and require high-pressure gradients to move. Dehydration might be desirable to a certain limit because it can help to form …

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Supporting Academic Parents: The Effects Of Dependent Care Policies On Research Productivity Trends, Drake Van Egdom, Matthew M. Piszczek, Christiane Spitzmueller, Peggy Lindner, Aaron Clauset Jun 2025

Supporting Academic Parents: The Effects Of Dependent Care Policies On Research Productivity Trends, Drake Van Egdom, Matthew M. Piszczek, Christiane Spitzmueller, Peggy Lindner, Aaron Clauset

Engineering Management and Systems Engineering Faculty Research & Creative Works

On average, women faculty take on more childcare responsibilities, posing barriers to career success. Work-family policies represent one solution for advancing gender equity in academia as they support parents after childbirth with benefits for children, employees, and organizations. We contribute to understanding how the availability and use of dependent care policies (paid parental leave and childcare benefits) relate to long-term research productivity trends. Based on the work-home resources model, we theorize that policy availability provides contextual resources and policy use provides personal resources, leading to improvements in an individual's research productivity after they have a child. We also examine potential …

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Efficient Bilateral Trade With Interdependent Values: The Use Of Two-Stage Mechanisms, Takashi Kunimoto, Cuiling Zhang Jun 2025

Efficient Bilateral Trade With Interdependent Values: The Use Of Two-Stage Mechanisms, Takashi Kunimoto, Cuiling Zhang

Research Collection School Of Economics

Efficient, voluntary bilateral trades are generally not implementable in an interdependent values environment with two-sided asymmetric information. To obtain more positive results, we consider two-stage mechanisms in which (i) the outcome (e.g., allocation of the goods) is determined first; (ii) the agents partially learn the state via their own outcome-decision payoffs; and (iii) transfers are finally made. We propose the approximate shoot-the-liar (AS) mechanism and identify Assumption 1, under which “approximately” efficient, voluntary trades are implementable. We further illustrate the permissiveness of the assumption, and characterize it in terms of the nature of interdependence in valuation functions—delineating the boundary between …

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Do Government Benefit Programs Reduce Child Labor?: Causal Evidence From The Midday Meal Scheme In India, Vardaan Chawla, Tomoki Fujii, Arpita Khanna, Ray Rohan Jun 2025

Do Government Benefit Programs Reduce Child Labor?: Causal Evidence From The Midday Meal Scheme In India, Vardaan Chawla, Tomoki Fujii, Arpita Khanna, Ray Rohan

Research Collection School Of Economics

This study evaluates the impact of the midday meal program in India on the prevalence of child labor for upper primary school going children. The staggered implementation of the largest school feeding program in the world across states provides exogenous variation in exposure. Using the nationally representative National Sample Survey Office (NSSO) data, we find that exposure to the program reduced prevalence of child labor by 47 percent relative to children in never-treated states, with no significant difference in impact between boys and girls. The effects were primarily driven by a decline in household labor supply, especially performance of household …

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Insolvency Law As A Catalyst For Growth, Aurelio Gurrea-Martinez Jun 2025

Insolvency Law As A Catalyst For Growth, Aurelio Gurrea-Martinez

Research Collection Yong Pung How School Of Law

Insolvency law plays an essential role in the real economy. From an ex ante perspective, that is, before a situation of insolvency arises, the design of insolvency law affects how debtors and creditors make decisions. For instance, if creditors believe that an insolvency system does not protect their rights or it does not help them maximize their recoveries if their debtors become insolvent, they will rationally become reluctant to extend credit. Therefore, an unattractive insolvency regime for creditors will harm firms’ access to finance and the promotion of economic growth. Similarly, an insolvency system that severely punishes honest but unfortunate …

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Techno-Geopolitics And Semi-Conductor Chokepoints: Beyond The Us-China Wto Dispute, Han-Wei Liu, Ching-Fu Lin Jun 2025

Techno-Geopolitics And Semi-Conductor Chokepoints: Beyond The Us-China Wto Dispute, Han-Wei Liu, Ching-Fu Lin

Research Collection Yong Pung How School Of Law

Much ink has been spilled on the US-China tech and trade war, particularly the role of US export controls in containing China and preserving America’s tech dominance. Less attention, however, has been paid to other critical nodes in the global semiconductor supply chain – Taiwan, South Korea, Japan, and the Netherlands – which we coin as ‘chokepoint economies’. Taiwan alone produces over 90% of the world’s most advanced chips, vital to the digital age and the future of AI in the Indo-Pacific and beyond. Using Taiwan as a case study, this paper shows how chokepoint economies navigate competing pressures amid …

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Genetic Counseling For Adult-Onset Neurogenetic Conditions In Hispanic/Latine Communities: A Qualitative Study Of Barriers And Facilitators From Hispanic/Latine Genetic Counselors' Perspectives, Elizabeth Aleman Jun 2025

Genetic Counseling For Adult-Onset Neurogenetic Conditions In Hispanic/Latine Communities: A Qualitative Study Of Barriers And Facilitators From Hispanic/Latine Genetic Counselors' Perspectives, Elizabeth Aleman

All Publications

Hispanic/Latine (H/Le) individuals, despite being at higher risk for certain adult-onset neurological conditions (AONCs) compared to non-Hispanic white individuals, experience delays in accessing neurologic health services and are significantly underrepresented in clinical research for conditions such as Alzheimer's disease and Parkinson's disease. While existing studies have highlighted barriers to genetic health services for H/Le groups, there is limited research on their experiences with adult-onset conditions beyond cancer. This study aimed to explore the perspectives of H/Le genetic counselors on factors that influence adult neurogenetic counseling (NGC) access for H/Le individuals, and suggestions for expanding access as subject matter experts of …

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Identifying Perceived Barriers In Special Education, Alexus K. Wilson Jun 2025

Identifying Perceived Barriers In Special Education, Alexus K. Wilson

Electronic Theses and Dissertations

This study explored the lived experiences of teachers and administrators supporting students with disabilities transitioning from special education to general education settings. Grounded in a phenomenological approach within a qualitative research paradigm, the research aimed to uncover how educators perceive and navigate the challenges, barriers, and successes associated with this complex transition process. Data were collected through semistructured interviews with a purposive sample of special education teachers, general education teachers, and school administrators from a small urban district in Texas. The study followed a qualitative methodology that focused on transition theory, and data were analyzed using thematic analysis.The research procedures …

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The Financial Effects Of Enrolling Students With Disabilities In Catholic High Schools In States That Offer Vouchers Or Scholarships For Students With Disabilities, Susan M. Noonan Jun 2025

The Financial Effects Of Enrolling Students With Disabilities In Catholic High Schools In States That Offer Vouchers Or Scholarships For Students With Disabilities, Susan M. Noonan

Electronic Theses and Dissertations

This study investigated the financial effect of enrolling students with disabilities in Catholic high schools located in states that offer vouchers or scholarships for these students. Furthermore, the research aimed to understand the school’s experience in collaborating with the U.S. Department of Education to meet the criteria for voucher acceptance. It is important to note that enrollment and tuition revenue is the key to a school’s financial stability. Using an exploratory case study approach, information was gathered from a variety of stakeholders including the superintendent, administration, business manager, admissions coordinator, teachers, and counselors. The findings indicated that parents of children …

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The Impact Of Principals’ And Mexican American Parents’ Preset Perspectives On Parental Involvement And What It Means For Student Achievement, Brenda Fouse Jun 2025

The Impact Of Principals’ And Mexican American Parents’ Preset Perspectives On Parental Involvement And What It Means For Student Achievement, Brenda Fouse

Electronic Theses and Dissertations

Parental involvement is crucial to increasing student achievement. However, elementary school principals do not always know how to provide effective parental involvement opportunities, particularly for second-generation Mexican American families. This phenomenological qualitative study was designed to improve the understanding of and describe the lived experiences of second-generation Mexican American families and their relationships with schools. A purposive sample of five second-generation Mexican American parents and five elementary school principals participated in semistructured audio and video interviews. The study offered insight into principals’ mindsets as they provided parental involvement opportunities for the families they serve. The major parental themes identified in …

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Leadership And Peer Support Of Surgeons Post-Adverse Event: A Phenomenological Study, Maxine E. Trent Jun 2025

Leadership And Peer Support Of Surgeons Post-Adverse Event: A Phenomenological Study, Maxine E. Trent

Electronic Theses and Dissertations

Abstract Surgeons are leaving the active practice of surgery and fewer physicians are pursuing surgical training, as a result the United States is predicted to have a shortage of surgeons until 2050. Surgery hosts a multitude of occupational stressors, one of which is interoperative adverse events and the subsequent experience of second victims. The literature indicates surgeons prefer psychological/emotional support from peers after interoperative adverse events. However, best practices for how to deliver peer and leadership support responses when surgeons experience second victims have not been established. This was a phenomenological qualitative study targeting practicing surgeons across the United States. …

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