Digital Commons Network^™

Functional Analysis Of Chromatin Remodeler Csb In Parp1/2- Mediated Oxidative Dna Lesion Repair, Rabeya Bilkis

Biomedical Sciences ETDs

The ATP-dependent chromatin remodeler Cockayne syndrome protein B (CSB) is essential for maintaining genome integrity. Mutations in CSB are the primary cause of Cockayne syndrome (CS), a premature aging disorder with severe sun sensitivity and neurodevelopmental symptoms. However, the precise mechanisms underlying the disease etiology remain poorly understood. Given the critical roles of oxidative stress in aging and neurodegenerative disorders, this research sought to determine the mechanisms of CSB’s functions in oxidative DNA damage repair.

In the first aim, we investigated how CSB participates in PARP1/2-mediated oxidative DNA repair. We showed that PARP1 and PARP2 recruit CSB to oxidized chromatin …

Selecting Green Wall Adoption Best Solutions Using Optimization: Addressing Barriers And Maximizing Benefits, Samar Nadeem

Theses and Dissertations

This research explores the potential of green walls as a sustainable solution to mitigate urban challenges and align with global climate change objectives. Despite their ecological and social benefits, green wall implementation faces significant barriers, hindering their adoption. Consequently, this study aims to develop a comprehensive framework to identify the obstacles, propose feasible solutions, and provide actionable strategies for promoting green walls. This framework incorporates an optimization model specifically designed for government-led solutions, evaluating their feasibility based on administrative feasibility, community acceptance, technical feasibility, industrial acceptance, and long-term adoption potential. By quantifying and prioritizing solutions based on their cost, feasibility, …

Relation Prediction In Knowledge Graphs: A Self-Organizing Neural Network Approach, Budhitama Subagdja, Shanthoshigaa D, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Knowledge graphs (KGs) in specialized domains frequently suffer from incomplete information. While current relation prediction methods for KG completion typically rely on neural network-based representation learning, we present KG2ART---a novel self-organizing neural network that employs a fundamentally different approach. Instead of learning distributed representations, KG2ART encodes relation triples of knowledge graphs explicitly and performs parallel inference over the graph structure through bidirectional interactions between bottom-up activations and top-down pattern matching. Our comprehensive evaluation across five diverse KGs (Nations, UMLS, Kinship, CoDEx-M, and a jet engine technical KG) demonstrates that KG2ART consistently outperforms state-of-the-art baselines (TuckER, ComplEX, RESCAL, ConvE, CompGCN) in …

Guest Editorial: When Multimedia Meets Food: Multimedia Computing For Food Data Analysis And Applications, Weiqing Min, Shuqiang Jiang, Petia Radeva, Vladimir Pavlovic, Chong-Wah Ngo, Kiyoharu Aizawa, Wanqing Li

Research Collection School Of Computing and Information Systems

Food is central in our life for its fundamental role in our survival, health, mood and culture. The deployment of various networks (e.g., IoT and mobile networks), devices (e.g., hyperspectral imaging devices, electronic nose/tongue), databases (e.g., nutrition tables and food compositional databases), recipe-sharing websites (e.g., Yummly and Meishijie) and social media (e.g., Twitter and Weibo) has generated unprecedented volumes of multi-modal food data. Such multi-source multi-modal food data provides new perspectives to analyze and understand food consumption via multimedia computing. Riding on the wave of AI, food-oriented multimedia computing integrates AI, multimedia technology and food science to enable a wide …

Intention Is All You Need: Refining Your Code From Your Intention, Qi Guo, Xiaofei Xie, Shangqing Liu, Ming Hu, Xiaohong Li, Lei Bu

Research Collection School Of Computing and Information Systems

Code refinement aims to enhance existing code by addressing issues, refactoring, and optimizing to improve quality and meet specific requirements. As software projects scale in size and complexity, the traditional iterative exchange between reviewers and developers becomes increasingly burdensome. While recent deep learning techniques have been explored to accelerate this process, their performance remains limited, primarily due to challenges in accurately understanding reviewers’ intents. This paper proposes an intention-based code refinement technique that enhances the conventional comment-to-code process by explicitly extracting reviewer intentions from the comments. Our approach consists of two key phases: Intention Extraction and Intention Guided Revision Generation. …

Dissecting Global Search: A Simple Yet Effective Method To Boost Individual Discrimination Testing And Repair, Lili Quan, Tianlin Li, Xiaofei Xie, Zhenpeng Chen, Sen Chen, Lingxiao Jiang, Xiaohong Li

Research Collection School Of Computing and Information Systems

Deep Learning (DL) has achieved significant success in socially critical decision-making applications but often exhibits unfair behaviors, raising social concerns. Among these unfair behaviors, individual discrimination-examining inequalities between instance pairs with identical profiles differing only in sensitive attributes such as gender, race, and age-is extremely socially impactful. Existing methods have made significant and commendable efforts in testing individual discrimination before deployment. However, their efficiency and effectiveness remain limited, particularly when evaluating relatively fairer models. It remains unclear which phase of the existing testing framework (global or local) is the primary bottleneck limiting performance. Facing the above issues, we first identify …

Scenario-Driven And Context-Aware Automated Accessibility Testing For Android Apps, Yuxin Zhang, Sen Chen, Xiaofei Xie, Zibo Liu, Lingling Fan

Research Collection School Of Computing and Information Systems

Mobile accessibility is increasingly important nowadays as it enables people with disabilities to use mobile applications to perform daily tasks. Ensuring mobile accessibility not only benefits those with disabilities but also enhances the user experience for all users, making applications more intuitive and user-friendly. Although numerous tools are available for testing and detecting accessibility issues in Android applications, a large number of false negatives and false positives persist due to limitations in the existing approaches, i.e., low coverage of UI scenarios and lack of consideration of runtime context. To address these problems, in this paper, we propose a scenario-driven exploration …

Hierarchical Learning-Based Graph Partition For Large-Scale Vehicle Routing Problems, Yuxin Pan, Ruohong Liu, Yize Chen, Zhiguang Cao, Fangzhen Lin

Research Collection School Of Computing and Information Systems

Neural solvers based on the divide-and-conquer approach for Vehicle Routing Problems (VRPs) in general, and capacitated VRP (CVRP) in particular, integrates the global partition of an instance with local constructions for each subproblem to enhance generalization. However, during the global partition phase, misclusterings within subgraphs have a tendency to progressively compound throughout the multi-step decoding process of the learning-based partition policy. This suboptimal behavior in the global partition phase, in turn, may lead to a dramatic deterioration in the performance of the overall decomposition-based system, despite using optimal local constructions. To address these challenges, we propose a versatile Hierarchical Learning-based …

Sigscope: Detecting And Understanding Off‑Chain Message Signing‑Related Vulnerabilities In Decentralized Applications, Sajad Meisami, Hugo Dabadie, Song Li, Yuzhe Tang, Yue Duan

Research Collection School Of Computing and Information Systems

In Web 3.0, an emerging paradigm of building decentralized applications or DApps is off-chain message signing, which has advantages in performance, cost efficiency, and usability compared to conventional transaction-signing schemes. However, message signing burdens DApp developers with extra coding complexity and message designing, leading to new security risks.This paper presents the first systematic study to uncover and characterize the security issues in off-chain message signing schemes and the DApps built atop them. We present a holistic static-analysis framework, SigScope, that uniquely combines the insights extracted from DApp front-end code (HTML and Javascript) off-chain and back-end smart contracts on-chain. We evaluate …

Real-Time Rectifying Flight Control Misconfiguration Using Intelligent Agent, Ruidong Han, Shangzhi Xu, Juanru Li, Elisa Bertino, David Lo, Jianfeng Ma, Siqi Ma

Research Collection School Of Computing and Information Systems

Configurations are supported by most flight control systems, allowing users to control a flying drone adapted to complexities such as environmental changes or mission alterations. Such an advanced functionality also introduces a significant problem—misconfiguration settings. It may cause drone instability, threaten drone safety, and potentially lead to substantial financial loss. However, detecting and rectifying misconfigurations across different flight control systems is challenging because (1) (mis)configuration-related code snippets might be syntactically correct and thus hard to identify through traditional code analysis; (2) the response to each configuration varies under different flying scenarios.In this article, we propose and implement a novel rectification …

Toward Better Comprehension Of Breaking Changes In The Npm Ecosystem, Dezhen Kong, Jiakun Liu, Lingfeng Bao, David Lo

Research Collection School Of Computing and Information Systems

Code evolution is prevalent in software ecosystems, which can provide many benefits, such as new features, bug fixes, security patches, while still introducing breaking changes that make downstream projects fail to work. Breaking changes cause a lot of effort to both downstream and upstream developers: downstream developers need to adapt to breaking changes and upstream developers are responsible for identifying and documenting them. In the NPM ecosystem, characterized by frequent code changes and a high tolerance for making breaking changes, the effort is larger.For better comprehension of breaking changes in the NPM ecosystem and to enhance breaking change detection tools, …

Predictive Modeling Of Electro-Optic Modulators Under Electromagnetic Interference, Hasan Ahmed

Optical Science and Engineering ETDs

In this age of electronic warfare, directed energy research is of utmost importance to ensure national security, robust military defense systems and gain a competitive edge in research worldwide. This thesis explores the intentional directed energy impacts on electro-optic devices by developing analytical predictive models through experimental data validation. An electro-optic modulator known as Mach-Zehnder modulator (MZM) is used to understand the implications of intentional EMI. A low frequency RF signal is injected in the MZM to create an EMI environment. The MZM behavior changes due to EMI during a pseudo-random bit sequence signal modulation were studied through analyzing receiver …

Vascular Flora Of Bark Camp Barrens Wma, Coffee County, Tennessee, Quinn Towery

Masters Theses and Doctoral Dissertations

A vascular plant inventory of Bark Camp Barrens Wildlife Management Area, Coffee County, Tennessee was performed over the 2023 and 2024 growing seasons. The site is a 1,395-ha area located 10km east of Manchester, Tennessee in the Barrens region of the Eastern Highland Rim. A total of 698 species and lower taxa from 349 genera and 127 families were inventoried. Two species were G1 or G2, 35 species were listed on the Tennessee Rare Plant List, and 209 species were S1 or S2. Additionally, all known digitized herbarium specimens from the nearby May Prairie State Natural Area were cataloged, creating …

Modularity Resilience, Claudia R. Aker

Bachelor of Architecture Theses - 5th Year

Every year, millions of people are displaced from their homes due to catastrophic flooding. According to data from the United Nations High Commissioner for Refugees (UNHCR), floods caused 9.8 million displacements in 2023 alone. Climate change is a primary factor driving the increasing frequency and intensity of storms and flooding worldwide.

This year, heavy rainfall has submerged villages and towns, destroyed homes and livelihoods, and imposed growing hardships on affected communities across regions such as Afghanistan, East Africa, Brazil, and the United States. These events have been intensified by a combination of storm surges, tropical cyclones, hurricanes, and record levels …

It Starts With Trust: How Mid-Level Student Affairs Supervisor Trust Behaviors Impact Entry-Level Staff Leave Intention, Latonya Monique Robinson

Electronic Theses and Dissertations

This dissertation examines the impact of how higher education student affairs mid-level managers (supervisors) develop and maintain trust with directly supervised entry-level staff (employees). Intervention in complex student development-oriented activities, student crises, and political protests has increased since the 1930s at higher education institutions throughout the United States. Entry-level or frontline student affairs staff manage these challenges most frequently. Yet these professionals often leave their positions within 3 years. Studies have highlighted inconsistent supervision as one of three reasons entry-level staff vacated their roles. Although many researchers have investigated why these staff members exited the field, less knowledge exists about …

Effects Of Different Blue Light Conditions On Saos-2 Cell Viability, Differentiation, And Mineralization, Jamielyn Alcantara Jarvis

Theses and Dissertations

Photobiomodulation (PBM) is a low-intensity light therapy that uses non-ionizing forms of energy to induce a directed cellular response. Prior work has investigated the effects of blue light exposure at energy densities ranging from 1 J/cm2 to 10 J/cm2 on osteogenic differentiation of human gingival mesenchymal stem cells (hGMSCs), human dental pulp stem cells (hDPSCs), and stem cells from the apical papilla (SCAPs) and shown promising outcomes at 4 J/cm2 and then having a detrimental impact at higher energy densities. One key caveat in prior studies is that the blue light energy density was modulated by changing the light exposure …

The Marionette Among Us: The Dark Triad, Influence Tactics, And The Fabric Of Team Relationships, Jarret Nathan Bain

Theses and Dissertations

This study examines the influence of the Dark Triad personality traits—Machiavellianism, Narcissism, and Psychopathy—on workplace team dynamics, particularly through the use of hard and soft interpersonal influence tactics. The research focuses on Team Member Exchange (TMX) as a measure of perceived relationship quality among team members. Using a cross-sectional survey of employed adults recruited through Amazon Mechanical Turk (MTurk), the study investigated the relationships between Dark Triad traits, influence tactics, and TMX. The findings reveal that while Narcissism is positively correlated with TMX, Machiavellianism and Psychopathy show more complex patterns of association, impacted by the choice of influence tactics. The …

New Approach Towards Different Ideals Using Bipolar Valued Intuitionistic Neutrosophic Set Of An Ordered Semigroups, M. Palanikumar, Nasreen Kausar, Tonguc Cagin

Neutrosophic Sets and Systems

No abstract provided.

Development And Validation Of An Adolescent Sleep Algorithm For Pediatric Primary Care, Holly Hink

Doctoral Scholarly Projects & Capstones

Poor sleep quality is a common challenge for many adolescents due to various developmental, environmental, and social factors. Nearly half of all adolescents reported regularly experiencing sleep disruptions. Poor sleep quality among adolescents might have severe mental, emotional, and cognitive consequences including an increased risk for several psychiatric conditions, obesity, and poor academic performance. However, sleep disorders among this population frequently go unreported and are rarely screened during annual well-child exams with primary care providers. The purpose of this project was to develop an evidence-based sleep algorithm for pediatric primary care providers designed to improve screening and treatment of adolescent …

Detection And Mitigation Of Distributed Denial Of Service (Ddos) Attack: Application To Smart Grid Communication Networks, Emmanuel Sunday Kolawole

All Dissertations

The Smart Grid is an improvement on the conventional grid that uses advanced communication methods and new technology for the production, transmission, and distribution of electrical power. The modern Smart Grid 's ability to function successfully depends heavily on its communication infrastructure. Today, the usage of communication technology promotes energy efficiency, coordination amongst all Smart Grid components, from generation to end users, and optimal Smart Grid functioning. The communication network of the Smart Grid exchanges data regarding the condition of its numerous integrated IEDs (intelligent electronic devices); however, there are always chances for attackers to interrupt utility resources, interfere with …

Propasafe: A Bert-Based Offline Tool For Propaganda Detection, Vivek Sharma, Mohammad Mahdi Shokri, Shweta Jain, Sarah Ita Levitan, Elena Filatova

Publications and Research

In an era marked by the rapid consumption of digital news, the proliferation of propaganda poses significant threats to democratic values and informed decision-making. We propose a novel framework that prioritizes user privacy while assisting in the automatic detection of propaganda in news articles, allowing users to sift through the rhetoric to read the relevant objective news. As a demonstration of this framework, we present Propasafe, a BERT-based browser extension designed to alert users to propagandist tones in news articles. By highlighting instances of propaganda-like language in real-time, Propasafe empowers users to critically engage with news content, promoting objective understanding …

Yield Prediction Of Pv Solar Energy Systems And Its Application In The Energy Grid For Operational Efficiency, Pablo Bustamante

Open Access Theses & Dissertations

The generation of power from photovoltaic (PV) solar panels is influenced by a multitude of factors. These include the tilt and orientation of the solar panels, the latitude of their location, and the prevailing climate and weather conditions. Additionally, shading at specific locations, particularly if the panels are not part of a solar facility, can significantly impact their efficiency. The quality and efficiency of the panels themselves, along with the preventive maintenance of both the solar panels and associated components such as inverters and trackers, are also critical. Finally, the overall system design and installation play a vital role in …

Cyber Resiliency Framework And Mechanisms For Software Defined Tactical Networks, Anthony Castanares

Open Access Theses & Dissertations

Traditional tactical networks fail to achieve cyber resiliency for many reasons, but the most prevalent causes include flat designs, the absence of cyber detection capabilities at the lowest level, and immutable resource allocations after instantiation. These design choices allow network threats direct visibility to each device on the network, and the lack of detection allows infections to proliferate. Furthermore, tactical battlefield networks are difficult to secure because of the lack of persistent oversight by an intelligent agent that can exercise control over the network's topology or resources in real-time. However, advances in software-defined networking (SDN) provide an opportunity to address …

A Digital Twin Approach To Job Shop Scheduling: Simulation And Optimization In Anylogic, Alan Alejandro Corral Lopez

Open Access Theses & Dissertations

In complex manufacturing environments such as job shops, machine breakdowns and maintenance activities can significantly disrupt production flow, leading to delays, bottlenecks, and reduced throughput. This thesis presents the development of a digital twin for a job shop system using AnyLogic simulation software to evaluate the effectiveness of fallback routing logic, where jobs are dynamically rerouted to alternative machines when primary machines are unavailable due to scheduled and unscheduled events. The digital twin replicates real-world job shop conditions, incorporating variable job sequences, machine-specific processing times, and both preventive and corrective maintenance schedules. Two scenarios were compared: a baseline configuration with …

Retoriando "La Neta": Cosechando Testimonios Del Campo Y Desahogos Laborales As Regenerative Rhetoric Pathways For Raza Obrer@ Performing La Talacha In Marginalized Laboral Spaces, Ramiro De Anda

Open Access Theses & Dissertations

Emic, phenomenological, and interdisciplinary, this study draws on and seeks to bring the fields of Sociopsychology and Rhetoric and Writing Studies into conversation to address the potential intracultural cognitive bias of raza obrer@ (RO), by raza non-obrer@ (RNO), throughout the Borderland (the El Paso/Juarez Region) through the strategic application of Regenerative Rhetoric.

In this dissertation, I examine testimonios del campo (personal narratives from laboral spaces) and desahogos laborales (emotional laboral releases) of RO performing la talacha (arduous blue-collar work) within marginalized labor spaces utilizing Regenerative Rhetoric reparative discourse/dialectic strategies that spur sentipensamiento en la sudoracion (sensing and thinking within the …

Optimal Accelerated Life-Testing Plans Under Progressive Type Ii First Failure Censoring Scheme, Emmanuella Duah

Open Access Theses & Dissertations

Designing optimal accelerated life testing (ALT) plans under progressive Type-II first failure censoring involves complex computational challenges, especially when trying to balance efficiency, precision, and practicality. This research introduces a novel optimization framework aimed at determining the best test configuration that minimizes estimation uncertainty within constrained experimental conditions. We developed a tailored meta-heuristic strategy based on an enhanced Variable Neighborhood Search (VNS) algorithm, which efficiently navigates the complex landscape of censoring schemes and stress allocations. Unlike conventional methods that typically focus on simpler censoring or stress-level structures, this approach simultaneously optimizes both the censoring points and sample allocations across various …

Bim Assessment For State Departments Of Transportation, Francisco Israel Guillen

Open Access Theses & Dissertations

Building Information Modeling (BIM) has been used by the Architecture, Engineering, and Construction (AEC) industry to enhance the efficiency and quality of work across various stages, including planning, design, construction, and operation and maintenance (OM) of projects. Despite widespread adoption in vertical construction, BIM implementation in infrastructure projects is still falling behind. This disparity can be attributed to several factors, including the complexity and scale of infrastructure projects and varying levels of BIM adoption and integration within organizations. Efforts to standardize BIM practices and enhance the digital capabilities of infrastructure projects are essential to bridge this gap and ensure the …

Voice-Language Cues In Speech Comprehension, Andy An Huynh

Open Access Theses & Dissertations

Voice familiarity has a powerful effect on speech comprehension, improving both intelligibility and recall. Speaker consistency also benefits speech comprehension with better recall for words spoken by one versus multiple speakers. The goal of the present study was to test the hypothesis that the benefits of voice familiarity for bilinguals depend on the consistency between a familiarized voice and the language of production, with improved perception for words when the speaker produces in the same language versus in a different language. Highly proficient Spanish-English bilinguals performed a speech-in-noise transcription task. During a familiarization phase, participants listened to brief utterances in …

Intratumoral Fibrin As A Novel Immunomodulatory Factor In Pancreatic Ductal Adenocarcinoma, Mazharul Karim

Open Access Theses & Dissertations

In-situ coagulation is a common clinical feature of pancreatic ductal adenocarcinoma (PDAC) that presents a highly thrombotic and crosslinked insoluble fibrin (x-fibrin)-laden tumor stroma (FibTS). However, the specific impact of FibTS on immune cells behavior remains largely unexplored in this poorly infiltrated tumor. We aimed to elucidate how FibTS in PDAC regulates immune cell infiltration, polarization, and crosstalk that favors immunosuppressive microenvironment and tumor growth. We characterized human PDAC tissues by multiplex immunostaining and checked the spatial distribution of immune cells based on the presence of x-fibrin. We investigated how FibTS influences the infiltration of tumor-associated macrophage (TAM) and T-cell …

Studies To Delineate The Structure And Function Of The Human Ventricular Myocardium In Subjects With Type-Ii Diabetic Cardiomyopathy, Haritha Keerthi

Open Access Theses & Dissertations

Heart failure, an abnormal heartbeat, and sudden death are all possible outcomes of preexisting or underlying cardiac disease. Heart disease is highly correlated with diabetes, causing heart pain and shortness of breath. In patients without other cardiac conditions, diabetic cardiomyopathy is a process that affects the myocardium over a long period of time. This disease has a complicated pathophysiology that can be broken down into processes that lead to diastolic and/or systolic dysfunction. However, the pathophysiological differences between normal, diabetic, and diseased cardiac tissues have not been thoroughly studied. Therefore, in this research, we directed our efforts to perform a …