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Ni-Mn-In Heusler Alloy Ribbon For Magnetocaloric Application, Bao Nguyen Jun 2025

Ni-Mn-In Heusler Alloy Ribbon For Magnetocaloric Application, Bao Nguyen

Masters Theses

A traditional cooling system, which applies compression technology within the working fluid, has had a lot of negative impacts on the environment and has low efficiency. They have almost reached the thermodynamic efficiency; there is little room for further improvement. Therefore, solid-state cooling systems, especially those that use the magnetocaloric effect (MCE), have drawnmuch interest as an alternative solution for the vapor-compression system. The Heusler alloy, especially Ni-Mn-In in this research, can be an excellent candidate for this application due to its unique properties, such as the shape memory effect and giant MCE. Their giant MCE results from a first-order …

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Using Computerized Instruction To Increase Professional Competence With Cognitive Behavioral Therapy (Cbt) Modifications, Paige Lee Sherlund-Pelfrey Jun 2025

Using Computerized Instruction To Increase Professional Competence With Cognitive Behavioral Therapy (Cbt) Modifications, Paige Lee Sherlund-Pelfrey

Masters Theses

One in thirty-six children receive an Autism Spectrum Disorder (ASD) diagnosis, and an estimated 5.4 million adults in the United States have previously received an ASD diagnosis (Centers for Disease Control and Prevention [CDC], 2022). At least seventy percent of individuals with ASD have one comorbid disorder (Valderas et al., 2009). Some common comorbid disorders for individuals with ASD include depression, anxiety, and obsessive-compulsive disorders. Cognitive Behavioral Therapy is an evidence-based therapy that can support depressive, anxiety and OCD symptoms, and has empirically supported modifications that can be used with the ASD population. However, research reports that clinicians are not …

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22q11.2 Enhanced Recovery After Surgery Pathway (Eras), Children's Mercy Kansas City Jun 2025

22q11.2 Enhanced Recovery After Surgery Pathway (Eras), Children's Mercy Kansas City

Clinical Pathways

No abstract provided.

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Creating Possibilities: The Ethelind Pope Brown Collection: An Overview Of Who May Have Illustrated America's Oldest Naturalist Paintings, Maksym Dedenko Jun 2025

Creating Possibilities: The Ethelind Pope Brown Collection: An Overview Of Who May Have Illustrated America's Oldest Naturalist Paintings, Maksym Dedenko

University Honors Theses

This thesis investigates the Ethelind Pope Brown Collection at the University of South Carolina, a rare assembly of hand-illustrated naturalist artworks depicting an assortment of flora and fauna from the eighteenth century. Despite its artistic and educational value, the creator of the collection remains unidentified. Through close textual and visual analysis, archival research, and comparative stylistic study, this project explores several potential authorship theories while providing background to the necessity of evolving science that facilitated its creation.

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Beauty In The Feed: Exploring The Role Of Social Media In Women's Body Image And Emotional Satisfaction, Momina Hassan Jun 2025

Beauty In The Feed: Exploring The Role Of Social Media In Women's Body Image And Emotional Satisfaction, Momina Hassan

University Honors Theses

Through a thematic analysis assessing four peer-reviewed studies, this thesis explores the relationship between social media (e.g., content, engagement factors) and how it impacts women's body image and emotional satisfaction. The studies varied in methodological approach and age demographics, but included only female participants. The research reviewed in this thesis calls attention to the harmful effects social media can have on women's health such as body dissatisfaction, anxiety, depression and disordered eating. The two main themes that emerged were appearance-based social comparison, and psychological impacts on mental health (e.g., anxiety, depression, disordered eating). Exposure to idealized images on social media …

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Determining Sphincs+ Readiness For Standardization Of Slh-Dsa Signature, Jessica Ancillotti Jun 2025

Determining Sphincs+ Readiness For Standardization Of Slh-Dsa Signature, Jessica Ancillotti

Theses

As quantum computing advances, public-key cryptographic algorithms risk becoming obsolete, requiring the development and implementation of quantum-resistant alternatives. This thesis evaluates SPHINCS+, a stateless hash-based digital signature scheme recently standardized by NIST under the FIPS 205 standard named Stateless Hash-Based Digital Signature Algorithm (SLH-DSA), which was selected for being a conservative and robust choice due to its reliance solely on well-understood cryptographic primitives. In the context of the growing need for quantum-resistant cryptographic solutions, determining the readiness of SPHINCS+ involves assessing its practical viability across different application domains and evaluating how well it meets today’s and future needs. To achieve …

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Mechanisms For Oxygen Vacancy Defect Migration In Srtio3/Nio Heterostructures, Anish Rajesh More Jun 2025

Mechanisms For Oxygen Vacancy Defect Migration In Srtio3/Nio Heterostructures, Anish Rajesh More

Theses

Perovskite-based oxide heterostructures display promising properties resulting from interface phenomena, making them good candidates for next-generation solid oxide fuel cell electrolytes. Amongst the different features exhibited by these interfaces, misfit dislocations play an important role in influencing ionic transport, yet their role remains poorly understood, which is the case in rock salt-perovskite interfaces too. In SrTiO3/NiO heterostructures, to comprehend interface ionic transport, we investigate oxygen vacancy migration near misfit dislocations. To this end, we developed a high-throughput framework that integrates atomistic simulations with nudged elastic band method to predict migration energy barriers across disparate interface atomic environments. By comprehensively mapping …

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Tourism, Trade, Energy, And Economic Development: Drivers Of Ecological Footprint In The World's Top Tourist Destinations, Abdul Waaje, Md Mustaqim Roshid, Sohidul Islam, Reday Chandra Bhowmik, Muhammad Abdur Rahaman, Md Mahedi Hassan Jun 2025

Tourism, Trade, Energy, And Economic Development: Drivers Of Ecological Footprint In The World's Top Tourist Destinations, Abdul Waaje, Md Mustaqim Roshid, Sohidul Islam, Reday Chandra Bhowmik, Muhammad Abdur Rahaman, Md Mahedi Hassan

Michigan Tech Publications

Ecological sustainability, energy consumption, tourism, and economic growth interact in complex ways, a pressing concern for modern policy and study. Using data from 1999 to 2023, this study looks at the top 10 tourist destinations to see how these variables relate to their environmental impact. The primary regression analysis employs the Driscoll-Kraay Standard Errors (DKSE) approach, while Feasible Generalized Least Squares (FGLS) and Panel-Corrected Standard Errors (PCSE) are used for robustness checks. The DKSE results show that a 1 % increase in economic development reduces the ecological footprint by 0.775 %. Similarly, renewable energy minimizes the EFP by 0.140 %, …

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Reference Correlations For The Density And Viscosity Of Molten Alkali And Alkaline Earth Fluoride Salts, A. Birri, R. Chesser, N. Termini, J. C. Numbers, Kevin Garland, M. A. Rose Jun 2025

Reference Correlations For The Density And Viscosity Of Molten Alkali And Alkaline Earth Fluoride Salts, A. Birri, R. Chesser, N. Termini, J. C. Numbers, Kevin Garland, M. A. Rose

Michigan Tech Publications

While there is a significant body of literature pertaining to thermophysical property measurements of molten salts, there is often a wide degree of variability among independent measurements of the same compounds. As such, the scientific community benefits greatly from an unbiased, independent assessment of duplicate datasets, so that reference correlations which describe these thermophysical properties as functions of temperature can be determined and then commonly used by researchers, scientists, and engineers. With regard to molten fluoride compounds, a significant time has elapsed since density and viscosity reference correlations have been determined; Janz conducted the most recent effort, in 1988, to …

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The Frequency, Type, And Function Of Visual Displays In Upper Elementary Standardized Science Tests, Daibao Guo, Katherine Landau Wright, Lianne Josbacher, Eun Hye Son Jun 2025

The Frequency, Type, And Function Of Visual Displays In Upper Elementary Standardized Science Tests, Daibao Guo, Katherine Landau Wright, Lianne Josbacher, Eun Hye Son

Boise State University Publications and Presentations

Limited research has explored the use of visual displays (ViDis) in science tests, making it challenging to know how these tests align with classroom instruction and what skills students need to be successful on these tests. Therefore, the current study aims to describe the use of ViDis in upper elementary grade standardized science tests. We quantified the frequency, types, and functions of ViDis in science tests in 23 states and Washington, DC. Findings show that in the 741 test items examined, 74.5% included ViDis. Tables, diagrams, and images are the most common ViDis. Importantly, 42.1% of the ViDis in the …

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Light & Faith: June 2025, Taylor University Jun 2025

Light & Faith: June 2025, Taylor University

Light & Faith

No abstract provided.

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Kin 447.01: Analytical And Communicative Techniques, Melanie L. Mcgrath Jun 2025

Kin 447.01: Analytical And Communicative Techniques, Melanie L. Mcgrath

University of Montana Course Syllabi, 2021-2025

No abstract provided.

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Neutrosophic Z-Number For Measuring Teaching Effectiveness In Ideological And Political Education: A University-Level Study Based On Student Perception, Binna Li Jun 2025

Neutrosophic Z-Number For Measuring Teaching Effectiveness In Ideological And Political Education: A University-Level Study Based On Student Perception, Binna Li

Neutrosophic Sets and Systems

No abstract provided.

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Application Of Interval Neutrosophic Logic Model For Diagnosis Of Cattle Disease, Lola Safarova, Dilnoz Muhamediyeva, Sokhibjan Muminov, Seyyed Ahmad Edalatpanah Jun 2025

Application Of Interval Neutrosophic Logic Model For Diagnosis Of Cattle Disease, Lola Safarova, Dilnoz Muhamediyeva, Sokhibjan Muminov, Seyyed Ahmad Edalatpanah

Neutrosophic Sets and Systems

No abstract provided.

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Neutrosophic Hammer Operator For Assessment Of Product Processing Quality Monitoring System In A Machining Line, Shuai Yuan Jun 2025

Neutrosophic Hammer Operator For Assessment Of Product Processing Quality Monitoring System In A Machining Line, Shuai Yuan

Neutrosophic Sets and Systems

No abstract provided.

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Neutrosophic Model For Analyzing The Effect Of The Enterprise Resource Planning Functions On Business Processes, Samah Ibrahim Abdel Aal, Mahmoud M. A. Abdellatif Jun 2025

Neutrosophic Model For Analyzing The Effect Of The Enterprise Resource Planning Functions On Business Processes, Samah Ibrahim Abdel Aal, Mahmoud M. A. Abdellatif

Neutrosophic Sets and Systems

No abstract provided.

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From Data To Decisions Based On Ai-Driven Insights: Intelligent Evaluation Of English Translation Pedagogy In Higher Education Under Interval Complex Neutrosophic Set, Hongmiao Yuan Jun 2025

From Data To Decisions Based On Ai-Driven Insights: Intelligent Evaluation Of English Translation Pedagogy In Higher Education Under Interval Complex Neutrosophic Set, Hongmiao Yuan

Neutrosophic Sets and Systems

No abstract provided.

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University English Writing Teaching Quality Evaluation Driven By Artificial Intelligence In The Context Of New Liberal Arts: Linguistic Neutrosophic Multivalued Approach, Xiaoling Lyu, Feng Li, Yiming Zhao Jun 2025

University English Writing Teaching Quality Evaluation Driven By Artificial Intelligence In The Context Of New Liberal Arts: Linguistic Neutrosophic Multivalued Approach, Xiaoling Lyu, Feng Li, Yiming Zhao

Neutrosophic Sets and Systems

No abstract provided.

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Triangular Offnorm With Multi-Criteria Decision-Making Method For College Political And Ideological Instruction On Intelligent Learning Platforms, Haiying Wang Jun 2025

Triangular Offnorm With Multi-Criteria Decision-Making Method For College Political And Ideological Instruction On Intelligent Learning Platforms, Haiying Wang

Neutrosophic Sets and Systems

No abstract provided.

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Collective Analysis, Sydney L. Reichin, Angie Benda, James C. Peters, Joel S. Elson, Samuel Hunter Jun 2025

Collective Analysis, Sydney L. Reichin, Angie Benda, James C. Peters, Joel S. Elson, Samuel Hunter

Reports, Projects, and Research

This report serves as Deliverable 7: Collective Analysis, as tasked by the Department of Homeland Security (DHS). The primary goal of this effort was to review literature (both academic and practitioner-based) related to threats found in K-12 schools, and to validate findings from the literature with interviews with subject matter experts (SMEs). Interviews discussed threats and vulnerabilities SMEs face along with their needs for future risk assessments. This review provides insights within and across interviews from SMEs and resource coding, identifying common and emerging themes that schools experience. The findings will inform the development of a comprehensive K-12 risk assessment …

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Phl 110e.50: Introduction To Ethics, Charles B. Hayes Jun 2025

Phl 110e.50: Introduction To Ethics, Charles B. Hayes

University of Montana Course Syllabi, 2021-2025

No abstract provided.

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Examining The Legal Responsibilities And Key Challenges Of Personal Representatives In Malaysian Inheritance Management, Muhammad Amrullah Drs Nasrul, Anis A'Fifah Zairin Zain, Wan Noraini Wan Mohd Salim Jun 2025

Examining The Legal Responsibilities And Key Challenges Of Personal Representatives In Malaysian Inheritance Management, Muhammad Amrullah Drs Nasrul, Anis A'Fifah Zairin Zain, Wan Noraini Wan Mohd Salim

The Indonesian Journal of Socio-Legal Studies

Personal representative connotes a person authorised under the law to manage the estate of the deceased person. The personal representative is responsible to gather all the assets belonging to the deceased and distribute the assets to the beneficiaries legally. The process of inheritance management in Malaysia requires a formal application to be made to the administrative bodies for the appointment of a personal representative, either as an executor or administrator. However, instances of misappropriation of the deceased’s estate by personal representatives have raised serious concerns, affecting the proper administration of estates and the rights of beneficiaries This study emphasises on …

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Irhunter: Universal Detection Of Instruction Reordering Vulnerabilities For Enhanced Concurrency In Distributed And Parallel Systems, Guohua Xin, Guangquan Xu, Yao Zhang, Cheng Wen, Cen Zhang, Xiaofei Xie, Neal N. Xiong, Shaoying Liu, Pan Gao Jun 2025

Irhunter: Universal Detection Of Instruction Reordering Vulnerabilities For Enhanced Concurrency In Distributed And Parallel Systems, Guohua Xin, Guangquan Xu, Yao Zhang, Cheng Wen, Cen Zhang, Xiaofei Xie, Neal N. Xiong, Shaoying Liu, Pan Gao

Research Collection School Of Computing and Information Systems

Instruction reordering is an essential optimization technique used in both compilers and multi-core processors to enhance parallelism and resource utilization. Although the original intent of this technique is to benefit the program, some improper reordering can significantly impact the program correctness, which we call instruction reordering vulnerability (IRV). However, existing methods detect IRV by defining CPU instruction reordering rules to schedule execution paths while neglecting compiler reordering, and thus generate false positives that require manual filtering and resulting in inefficiency. To bridge this gap, in this paper, we propose the IRV detection method, , which analyzes IRV characteristics and extracts …

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Contested: Consistency-Aided Tested Code Generation With Llm, Jinhao Dong, Jun Sun, Wenjie Zhang, Jinsong Dong, Dan Hao Jun 2025

Contested: Consistency-Aided Tested Code Generation With Llm, Jinhao Dong, Jun Sun, Wenjie Zhang, Jinsong Dong, Dan Hao

Research Collection School Of Computing and Information Systems

Recent advancements in large language models (LLMs) have significantly improved code generation, which generates code snippets automatically based on natural language requirements. Despite achieving state-of-the-art performance, LLMs often struggle to generate accurate and reliable code, requiring developers to spend substantial effort debugging and evaluating the generated output. Researchers have proposed leveraging Consistency to select code that passes more tests (inter-consistency) and demonstrates consistent behavior across more counterparts (intra-consistency). However, since the tests themselves are also generated by LLMs, relying on majority voting based on incorrect tests leads to unreliable results. To address this, we propose a lightweight interaction framework that …

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Enhancing Vulnerability Detection Via Inter-Procedural Semantic Completion, Bozhi Wu, Chengjie Liu, Zhiming Li, Yushi Cao, Jun Sun, Shang-Wei Lin Jun 2025

Enhancing Vulnerability Detection Via Inter-Procedural Semantic Completion, Bozhi Wu, Chengjie Liu, Zhiming Li, Yushi Cao, Jun Sun, Shang-Wei Lin

Research Collection School Of Computing and Information Systems

Inspired by advances in deep learning, numerous learning-based approaches for vulnerability detection have emerged, primarily operating at the function level for scalability. However, this design choice has a critical limitation: many vulnerabilities span multiple functions, causing function-level approaches to lose the semantics of called functions and fail to capture true vulnerability patterns. To address this issue, we propose VulnSC, a novel framework designed to enhance learning-based approaches by complementing inter-procedural semantics. VulnSC retrieves the source code of called functions for datasets and leverages large language models (LLMs) with well-designed prompts to generate summaries for these functions. The datasets, enhanced with …

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Cashift: Benchmarking Log-Based Cloud Attack Detection Under Normality Shift, Jiongchi Yu, Xiaofei Xie, Qiang Hu, Bowen Zhang, Ziming Zhao, Yun Lin, Lei Ma, Ruitao Feng, Frank Liau Jun 2025

Cashift: Benchmarking Log-Based Cloud Attack Detection Under Normality Shift, Jiongchi Yu, Xiaofei Xie, Qiang Hu, Bowen Zhang, Ziming Zhao, Yun Lin, Lei Ma, Ruitao Feng, Frank Liau

Research Collection School Of Computing and Information Systems

With the rapid advancement of cloud-native computing, securing cloud environments has become an important task. Log-based Anomaly Detection (LAD) is the most representative technique used in different systems for attack detection and safety guarantee, where multiple LAD methods and relevant datasets have been proposed. However, even though some of these datasets are specifically prepared for cloud systems, they only cover limited cloud behaviors and lack information from a whole-system perspective. Another critical issue to consider is normality shift, which implies that the test distribution could differ from the training distribution and highly affect the performance of LAD. Unfortunately, existing works …

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Regtrieve: Reducing System-Level Regression Errors For Machine Learning Systems Via Retrieval-Enhanced Ensemble, Junming Cao, Xuwen Xiang, Mingfei Cheng, Bihuan Chen, Xinyan Wang, You Lu, Chaofeng Sha, Xiaofei Xie, Xin Peng Jun 2025

Regtrieve: Reducing System-Level Regression Errors For Machine Learning Systems Via Retrieval-Enhanced Ensemble, Junming Cao, Xuwen Xiang, Mingfei Cheng, Bihuan Chen, Xinyan Wang, You Lu, Chaofeng Sha, Xiaofei Xie, Xin Peng

Research Collection School Of Computing and Information Systems

Multiple machine learning (ML) models are often incorporated into real-world ML systems. However, updating an individual model in these ML systems frequently results in regression errors, where the new model performs worse than the old model for some inputs. While model-level regression errors have been widely studied, little is known about how regression errors propagate at system level. To address this gap, we propose RegTrieve, a novel retrieval-enhanced ensemble approach to reduce regression errors at both model and system level. Our evaluation across various model update scenarios shows that RegTrieve reduces system-level regression errors with almost no impact on system …

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Unsupervised Recognition Of Unknown Objects For Open-World Object Detection, Ruohuan Fang, Guansong Pang, Wenjun Miao, Xiao Bai, Jin Zheng, Xin Ning Jun 2025

Unsupervised Recognition Of Unknown Objects For Open-World Object Detection, Ruohuan Fang, Guansong Pang, Wenjun Miao, Xiao Bai, Jin Zheng, Xin Ning

Research Collection School Of Computing and Information Systems

Open-world object detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown objects and incrementally learning newly introduced knowledge. Current OWOD models detect the unknowns that exhibit similar features to the known objects, but they suffer from a severe label bias problem, i.e., they tend to detect all regions (including unknown object regions) that are dissimilar to the known objects as part of the background. To eliminate the label bias, this article proposes a novel module, namely reconstruction error-based Weibull (REW) model, that …

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Hvi: A New Color Space For Low-Light Image Enhancement, Qingsen Yan, Yixu Feng, Cheng Zhang, Guansong Pang, Kangbiao Shi, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang Jun 2025

Hvi: A New Color Space For Low-Light Image Enhancement, Qingsen Yan, Yixu Feng, Cheng Zhang, Guansong Pang, Kangbiao Shi, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang

Research Collection School Of Computing and Information Systems

Low-Light Image Enhancement (LLIE) is a crucial computer vision task that aims to restore detailed visual information from corrupted low-light images. Many existing LLIE methods are based on standard RGB (sRGB) space, which often produce color bias and brightness artifacts due to inherent high color sensitivity in sRGB. While converting the images using Hue, Saturation and Value (HSV) color space helps resolve the brightness issue, it introduces significant red and black noise artifacts. To address this issue, we propose a new color space for LLIE, namely Horizontal/Vertical-Intensity (HVI), defined by polarized HS maps and learnable inten sity. The former enforces …

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Why Does My Transaction Fail? A First Look At Failed Transactions On The Solana Blockchain, Xiaoye Zheng, Zhiyuan Wan, David Lo, Difan Xie, Xiaohu Yang Jun 2025

Why Does My Transaction Fail? A First Look At Failed Transactions On The Solana Blockchain, Xiaoye Zheng, Zhiyuan Wan, David Lo, Difan Xie, Xiaohu Yang

Research Collection School Of Computing and Information Systems

Solana is an emerging blockchain platform, recognized for its high throughput and low transaction costs, positioning it as a preferred infrastructure for Decentralized Finance (DeFi), Non-Fungible Tokens (NFTs), and other Web 3.0 applications. In the Solana ecosystem, transaction initiators submit various instructions to interact with a diverse range of Solana smart contracts, among which are decentralized exchanges (DEXs) that utilize automated market makers (AMMs), allowing users to trade cryptocurrencies directly on the blockchain without the need for intermediaries. Despite the high throughput and low transaction costs of Solana, the advantages have exposed Solana to bot spamming for financial exploitation, resulting …

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