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State-Of-The-Art Titanium Carbide Hard Coatings: A Comprehensive Review Of Mechanical And Tribological Behaviour, Samrat Kavishwar, Vinod Bhaiswar, Sonika Kochhar, Ashish Fande

Open Access archive

This present paper focuses on various conventional and advanced surface modification techniques to enhance surface characteristics, tribological behaviour, and mechanical properties of metals and alloys exposed to abrasive or corrosive environments. A particular importance is given on the utilization of hard protective coatings, notably Titanium Carbide (TiC), known for its exceptional attributes including high chemical and thermal stability, elevated hardness, substantial elastic modulus and a low coefficient of friction. TiC coatings significantly contribute to the improved hardness, wear and corrosion resistance of metals and alloys. Deposition of TiC coatings using various technologies including chemical vapor deposition (CVD), physical vapour deposition …

Modeling And Analysis Of The Effects Of Age Hardening, Magnesium Dissolution, And Sic Reinforcement On Wear Properties In Eutectic Al-Si Composites Using Full Factorial Techniques, Ashwin Shetty, Thirumaleshwara Bhat, Sathyashankara Sharma, Ravikantha Prabhu

Open Access archive

This study aims to explore the effects of age-hardened traces, magnesium (Mg) dissolution, and silicon carbide (SiC) reinforcement on the wear properties of eutectic aluminum-silicon (Al-Si) matrix composites, focusing on optimizing their performance for industrial applications. A systematic investigation was conducted using a full factorial experimental design, with analysis of variance (ANOVA) performed through Minitab software to quantify the individual and interactive effects of these factors on the wear rate and coefficient of friction (COF). The results demonstrated that age-hardened traces significantly enhance wear resistance by promoting the formation of finely dispersed hardening precipitates at moderate ageing temperatures, while over-ageing …

Cultivating And Sustaining Community Engagement At The Kachemak Bay National Estuarine Research Reserve, Rose Masui

Student Projects for Graduate Degrees

The Kachemak Bay National Estuarine Research Reserve (KBNERR) was established in Homer, Alaska in 1999 with an overarching purpose of conducting community relevant place-based research, education, training, and outreach within our region. The need to have the Reserve reflective of community needs was also captured within KBNERR’s 2021-2026 Management Plan. As of 2024, the process for engaging the community both to share information and to inform focus areas at the Reserve is not being implemented in a unified approach. Since 2021, three-quarters of the positions at KBNERR have experienced staffing turnovers. A need to re-establish the role the community plays …

Positive Behavior Intervention And Supports (Pbis) Data Systems, Drenushe Hukali

Student Projects for Graduate Degrees

The Anchorage Schools District (ASD), a large and diverse educational system, currently operates without standardized systems, tools and training for effectively capturing and analyzing student data. This limitation, coupled with reliance on outdated disciplinary practices, has resulted in a predominantly reactive organizational approach. Through the successful implementation of Positive Behavior Interventions and Supports (PBIS) framework to PreK- 12+ students at all Anchorage School District (ASD) school sites, this project aims to evaluate the effectiveness of an optimized documentation process within the district. This evidence-based, tiered framework supports students’ behavioral, academic, social, emotional, and mental health, which has been proven to …

The Evolution And Preservation Of Video Games: An Artistic And Cultural Journey, Dhru Fuletra

ART 108: Introduction to Games Studies

From the first time I held a game controller, video games have been a fundamental part of my life. They started as simple, pixel-filled adventures on early consoles and have grown into the vast, immersive worlds we explore on today’s advanced systems. For me, they’ve always been more than just a way to pass the time; they’ve been gateways to alternate realities where creativity, interaction, and storytelling seamlessly come together. Over the years, video games have transformed from casual hobbies into intricate cultural phenomena and, importantly, into a recognized art form. In this essay, I contend that video games are …

The Evolution Of Artificial Intelligence In Gaming, Aditi Jorapur

ART 108: Introduction to Games Studies

No abstract provided.

Cgbi_Yolo: Lightweight Land Target Detection Network, Ruiyang Wang, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Xiaobing Chen, Wenfeng Zheng

Faculty Publications

Object detection algorithms for optical remote sensing images often face challenges in computational efficiency, particularly when detecting small and densely packed targets. This paper introduces CGBi_YOLO, a novel lightweight land target detection network designed to optimize computational resource utilization while maintaining detection capabilities for small-scale targets. Our approach incorporates an innovative lightweight optimization strategy featuring a new lightweight backbone feature extraction network: CSPGhostNet. This model significantly enhances the detection ability of small objects within optical remote sensing images without increasing computational demands. The efficacy of the proposed model is validated through rigorous experimentation on the DOTA dataset. Compared to the …

Research Overview On Urban Heat Islands Driven By Computational Intelligence, Chao Liu, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng

Faculty Publications

In recent years, the intensification of the urban heat island (UHI) effect has become a significant concern as urbanization accelerates. This survey comprehensively explores the current status of surface UHI research, emphasizing the role of land use and land cover changes (LULC) in urban environments. We conducted a systematic review of 8260 journal articles from the Web of Science database, employing bibliometric analysis and keyword co-occurrence analysis using CiteSpace to identify research hotspots and trends. Our investigation reveals that vegetation cover and land use types are the two most critical factors influencing UHI intensity. We analyze various computational intelligence techniques, …

Current Situation And Prospect Of Geospatial Ai In Air Pollution Prediction, Chunlai Wu, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng

Faculty Publications

Faced with increasingly serious environmental problems, scientists have conducted extensive research, among which the importance of air quality prediction is becoming increasingly prominent. This article briefly reviews the utilization of geographic artificial intelligence (AI) in air pollution. Firstly, this paper conducts a literature metrology analysis on the research of geographical AI used in air pollution. That is, 607 documents are retrieved from the Web of Science (WOS) using appropriate keywords, and literature metrology analysis is conducted using Citespace to summarize research hotspots and frontier countries in this field. Among them, China plays a constructive role in the fields of geographic …

Root Plasticity Of Selected Corn (Zea Mays L.) Varieties Grown For Food And Forage In Response To Fertigroe®-N And Urea, Vanica Apostol, Edna Aguilar, Lilia Fernando, Lourdes Edano Ma., Tonette Laude, Eureka Teresa Ocampo

The Philippine Agricultural Scientist

Root plasticity, the capacity of a corn root system to modify its growth and development in response to varying environmental conditions, is a crucial adaptability trait for optimizing water and nutrient uptake, especially in a challenging environments. Understanding root plasticity provides insights into the pattern basis of crop adaptation, contributing to the development of improved corn varieties and agricultural practices that optimize the production of both ear shoots and forage. This study assessed root traits and other morphological-physiological responses of three corn varieties (NK8840, IPB Var 6, and Pearl Sweet) grown for food (ear shoots) and forage (baby corn fodder) …

Surgical Suturing Skill Assessment Using Estimated Hand Roll Angle From A Deep-Learning Computer Vision Algorithm, Jianxin Gao, Amir Mehdi Shayan, Simar P. Singh, Joe Bible, Ravikiran Singapogu, Richard E. Groff

Publications

This paper proposes a deep-learning computer vision algorithm to estimate hand roll angles for metric-based assessment of surgical suturing skills. The number of rolls metric, previously calculated directly from IMU data, counts the number of hand roll reversals during a single suture. To calculate this metric using computer vision, we apply a deep-learning algorithm that can reliably estimate hand roll angles after training on suturing videos collected on the SutureCoach simulator. Results show that the estimation accuracy of the deep-learning algorithm is robust to different video backgrounds. The number of rolls metrics were used to analyze suturing performance in the …

Ellipticity-Controlled Exceptional Points From Nanoscale Metasurfaces, Benjamin Goldberg

McKelvey School of Engineering Graduate Student Theses & Dissertations

Precise control over light polarization is critical for advancing technologies in telecommunica- tions, quantum computing, and image sensing. However, existing methods for manipulating polarization around exceptional points in non-Hermitian systems, have exclusively focused on circular polarization and work with reflected light. To address this limitation, we de- velop a novel metasurface platform with high-Q resonators that enables tunable control of polarization exceptional points across arbitrary ellipticity for transmitted light. Our design uses orthogonally polarized guided mode resonators in a two-layer silicon metasurface, where careful tuning of the dipolar guided mode resonances (DGMRs) and layer spacing allows us to control the …

Gotcha ! This Model Uses My Code ! Evaluating Membership Leakage Risks In Code Models, Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsum Kim, Donggyun Han, David Lo

Research Collection School Of Computing and Information Systems

Leveraging large-scale datasets from open-source projects and advances in large language models, recent progress has led to sophisticated code models for key software engineering tasks, such as program repair and code completion. These models are trained on data from various sources, including public open-source projects like GitHub and private, confidential code from companies, raising significant privacy concerns. This paper investigates a crucial but unexplored question: What is the risk of membership information leakage in code models? Membership leakage refers to the vulnerability where an attacker can infer whether a specific data point was part of the training dataset. We present …

Book Review Of Richard Joslyn And Bruce Stronach. The History Of Temple University Japan: An Experiment In International Education. Philadelphia: Temple University Press,

Journal of Comparative & International Higher Education

No abstract provided.

Chain Of Preference Optimization: Improving Chain-Of-Thought Reasoning In Llms, Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu, Wei Gao, Min Lin

Research Collection School Of Computing and Information Systems

The recent development of chain-of-thought (CoT) decoding has enabled large language models (LLMs) to generate explicit logical reasoning paths for complex problem-solving. However, research indicates that these paths are not always deliberate and optimal. The tree-of-thought (ToT) method employs tree-searching to extensively explore the reasoning space and find better reasoning paths that CoT decoding might overlook. This deliberation, however, comes at the cost of significantly increased inference complexity. In this work, we demonstrate that fine-tuning LLMs leveraging the search tree constructed by ToT allows CoT to achieve similar or better performance, thereby avoiding the substantial inference burden. This is achieved …

Impact Of Irrigation Systems On Water Use And Water Productivity: A Case Study Using Aquacrop In Khartoum, Sudan, Abdalhakam Almagzoop

Department of Agricultural and Biological Systems Engineering: Masters Project Reports

Water scarcity significantly challenges agricultural productivity in arid regions like Khartoum, Sudan. This study evaluates the impact of three irrigation systems—furrow, sprinkler, and surface drip—on the water use and productivity of sorghum (Sorghum bicolor L.) under different climatic conditions using the AquaCrop model. Simulations were conducted for three representative years: a wet year (2022), a normal year (2015), and a dry year (2018). The results demonstrate that irrigation substantially improved water use efficiency and crop yield compared to non-irrigated (rainfed) conditions. Rainfed crops resulted in lower biomass, harvest index, and yield, particularly in the dry year, highlighting the importance …

Enhancing Water Sustainability In North Africa: Literature Review And Synthesis Of Current Knowledge Gaps In Sudan, Osman M. A. Adam

Department of Agricultural and Biological Systems Engineering: Masters Project Reports

This study delves into the critical role of groundwater in addressing global water challenges, with a focus on the Nubian Sandstone Aquifer System (NSAS) in north Africa. Groundwater constitutes a source of potable water, irrigation, and industrial use, especially in arid regions where surface water is limited. We analyzed the status of water quantity, withdrawals, recharge, and geological characteristics in the NSAS, specifically in Sudan, Egypt, and Libya. Though the NSAS is largely an untapped resource, water withdrawals from the NSAS in Egypt, Sudan, and Libya are projected to increase substantially from 2000 to 2100 due to population growth, with …

Development And Characterization Of Organic Electrocatalysts For Use In Zinc-Air Batteries, Christopher John Merkel

Department of Chemical and Biomolecular Engineering: Dissertations, Theses, and Student Research

The global deployment of solar photovoltaic and wind power is projected by the International Energy Agency as the primary pathway to reduce dependence on fossil fuels. However, these technologies face a critical bottleneck: their inherently intermittent power generation. For “intermittent renewables” to become the dominant source of electrical energy, efficient energy storage systems are essential. Current storage solutions are not viable on a global scale due to material scarcity, safety concerns, and high capital costs. Among emerging technologies, zinc-air batteries (ZABs) have garnered significant interest. ZABs offer a theoretical energy density five times greater than traditional lithium-ion batteries, utilize safe …

Impacts Of Stream Bed Adjustment On Local Bridge Morphology At Highway 281, Molly G. Likins

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Nebraska sand-bed rivers have long been a part of sediment transport studies and have been used in the development of numerous well-known empirical bedload equations. Some of these studies have shown how adjustments in streambed elevation led to changes in local stream morphology. The sand-bed rivers of Nebraska are highly susceptible to such changes due to their wide, shallow cross-sections and erodibility. The objective of our study is to synthesize a hydrodynamic model with high-resolution field data and improved methods of representing sediment transport to better predict both short and long-term channel adjustments for an aggraded sand-bed river.

The field …

Numerical Study On The Behavior Of Natural And Recycled Aggregate Concretes, Shahriar Mardpour

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

This thesis investigates the mechanical behavior of natural and recycled aggregate concretes (NAC and RAC) using a multi-phase numerical approach to predict performance. Growing interest in sustainable materials has led to using recycled concrete aggregates (RCA) to replace natural aggregates, creating Recycled Aggregate Concrete (RAC). Due to their different structural components, RAC and NAC exhibit varying mechanical properties, particularly in strength and durability.

This study validated tension and bending (flexural) test models by comparing numerical results with similar models from the literature. Following validation, a multi-phase approach modeled NAC and RAC for the bending (flexural) and tension tests, providing a …

Development And Evaluation Of Highly Thixotropic Uhpc Mixtures For Bridge Overlay Applications, Akbota Aitbayeva

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Ultra-high-performance concrete (UHPC) is an advanced construction material renowned for its exceptional strength and durability. However, conventional UHPC is typically self-consolidating, making it unsuitable for bridge deck overlay applications due to challenges posed by potential surface slopes. UHPC overlay construction requires a highly thixotropic material that not only responds well to vibration but also maintains workability over an extended period and remains stable on sloped surfaces. Despite the complex rheological properties of highly thixotropic UHPC, limited testing methods are available to effectively assess the workability and rheology of overlay mixtures. To address this gap, the present study provides a comprehensive …

Not All Samples Are Created Equal: Task-Aware Informative Sampling And Adaptive Inference For Efficient Edge Ai, Rebati Gaire

School of Computing: Dissertations, Theses, and Student Research

The rapid proliferation of Internet of Things (IoT) devices has resulted in an unprecedented influx of data generated at the edge by billions of sensors. Traditional approaches relying on cloud-based processing are increasingly inadequate due to constraints in bandwidth, latency, and privacy. Edge computing has emerged as a transformative paradigm, enabling real-time data processing and decision-making by decentralizing computation to the edge. While the integration of deep learning into edge environments—termed edge intelligence—promises autonomous and personalized operations, it is hindered by challenges such as limited computational resources, energy constraints, and data redundancies.

This thesis addresses these challenges by presenting three …

Using Symbolic Execution To Analyze The Hardware Tcp Protocol, Nianhang Hu

School of Computing: Dissertations, Theses, and Student Research

As the demand for high performance and flexible networking capabilities increases, the shift from software to hardware implementations of stateful networking functions (such as TCP) is becoming increasingly important. This transition not only enhances processing efficiency in modern networking environments where data transmission rates are rising, but it also reduces the inherent CPU overhead found in software implementations, allowing hardware devices to handle network traffic more efficiently. However, validating the correctness of these hardware designs poses significant challenges due to the complex timing requirements and the vast input space associated with packet-level properties.

The verification of packet-level properties requires coverage …

Characteristics Of High-Risk Bipolar Bone Loss Lesions Using 3-Dimensional Imaging, Petar Golijanin, Justin Arner, Claire Ryan, Qais Zai, Liam Peebles, Annalise Peebles, Phob Ganokroj, Ryan Whalen, Stephanie Eble, Danielle Rider, Srdjan Ninković, Matthew Provencher

Department of Orthopaedic Surgery Faculty Papers

BACKGROUND: The concept of on-track versus off-track bone lesions in glenohumeral instability continues to evolve. Although much has been ascertained from an original biomechanical model, bony pathological changes, especially on 3-dimensional (3D) imaging, have not been fully evaluated.

PURPOSE: To compare the differences in on-track versus off-track lesions to characterize glenoid and humeral head bone defects using 3D modeling software.

STUDY DESIGN: Cross-sectional study; Level of evidence, 3.

METHODS:A consecutive cohort of 75 patients with recurrent anterior instability, with evidence of Hill-Sachs lesions (HSLs) and
glenoid bone loss (GBL) and a mean age of 27.1 years (range, 18-48 years), were …

Strategies For Competitive Advantage In Libraries And Information Centers, De-Graft Johnson Dei, Linda Anane-Donkor

Library Philosophy and Practice (e-journal)

Libraries and information centers keep experiencing sluggish growth due to the absence of an integrated and coherent strategy that can be deployed to enable them to be competitive, have a competitive advantage, and gain market position. This study, therefore, sought to assess the strategies for competition in libraries and information centers and develop a framework that can be deployed in libraries and information centers for competitive advantage. The study adopted a conceptual and qualitative approach to research. Based on the review and analysis, the researcher developed a framework that suggests that technology (infrastructure, social media systems, gamification, and artificial intelligence) …

Leveraging Geo-Ai To Evaluate Conservation Land Conditions In Nebraska, Usa, Fnu Jahangeer

Community and Regional Planning Program: Theses

Wetlands are among the most vital natural resources, offering extensive ecosystem services that benefit human societies. However, human activities and disturbances have led to widespread wetland degradation and loss worldwide. Key factors contributing to this degradation include pollution, exploitation of biological resources, modifications to natural systems, and agricultural and aquacultural practices. This study examines wetland conservation efforts in Nebraska, focusing on three main areas: (1) AI-Driven Applications in Google Earth Engine for Surface Water Monitoring, Assessment, and Management; (2) Assessing Wetland Hydrological Performance under Three Conservation Programs in Nebraska through AI-Driven Google Earth Engine Analysis; and (3) Identifying Potential Wetland …

Artificial Intelligence And Cracks In The Foundation Of Intellectual Property, Robin Feldman

UC Law Journal

Our implicit image of progress and the standards we use to calibrate human contribution to progress are quietly at risk from the onslaught of artificial intelligence (AI). AI has the potential to significantly shrink the pool of creative work that is protectable by intellectual property (IP) law and the range of information that is protectable, as well as shrinking the value proposition of IP regimes themselves.

As society faces this changing landscape, we must tread carefully to distinguish fears about AI from the task of defining the boundaries of intellectual property, whose theoretic concepts aren’t designed to bear such weighty …

Harnessing Collective Structure Knowledge In Data Augmentation For Graph Neural Networks, Rongrong Ma, Guansong Pang, Ling Chen

Research Collection School Of Computing and Information Systems

Graph neural networks (GNNs) have achieved state-of-the-art performance in graph representation learning. Message passing neural networks, which learn representations through recursively aggregating information from each node and its neighbors, are among the most commonly-used GNNs. However, a wealth of structural information of individual nodes and full graphs is often ignored in such process, which restricts the expressive power of GNNs. Various graph data augmentation methods that enable the message passing with richer structure knowledge have been introduced as one main way to tackle this issue, but they are often focused on individual structure features and difficult to scale up with …

Immediate Effect Of Local Vibration On Motor Unit Firing Behavior And Muscle Strength In Healthy Young Adult Males, Yuichi Nishikawa, Aleš Holobar, Kohei Watanabe, Toshihiko Komatsuzaki, Takanori Chihara, Jiro Sakamoto, Takashi Kawagoe, Hidetaka Nagayasu, Kyoko Mori, Kenji Kawano, Noriaki Maeda, Shinobu Tanaka, Allison S. Hyngstrom

Physical Therapy Faculty Research and Publications

Purpose

The aim of this study was to examine the effect of vibration on motor unit (MU) firing behavior and physical performance of antagonist muscles in healthy young adult males.

Methods

Fourteen males (age = 24.3 ± 3.6 years) were included in this study. There were two conditions, one in which participants received 80 Hz vibration in the distal tendon of the hamstring for 30 s and the control condition (no vibration). High-density surface electromyography (HD-SEMG) signals and maximal voluntary contraction (MVC) of knee extensor muscles were evaluated before and after the respective conditions and recorded from the vastus lateralis …

Mapping Out Information Literacy: A Textbook Review, Alyssa Russo

Communications in Information Literacy

This narrative review examines the thematic content and evolution of information literacy textbooks published between 2005 and 2022. Analyzing sixteen textbooks, it explores two themes: the research process and conceptual foundations of information literacy. The research process theme highlights the procedural aspects of conducting library research, delineating the steps from topic selection to presentation. The conceptual foundations of IL theme reveals a discrepancy in how textbooks address the broader conceptual underpinnings of information literacy, particularly the context of a rapidly changing information society. This review highlights the focus on practical skills and the relative lack of discussions on broader contexts …