Digital Commons Network^™

Bounding The Convex Hull Relaxation Of The Unit Commitment Problem With The Shapley-Folkman Theorem, Lauren Henderson

All Theses

The Unit Commitment (UC) problem finds an optimal schedule for a set of generators by minimizing the total operation cost subject to demand and operational constraints. The UC problem is often modeled with a mixed-integer linear program (MILP). We employ the Shapley-Folkman Theorem to provide a bound on the size of fractional solutions of its convex hull relaxation. This result is used to obtain a bound on the optimality gap between the MILP and the convex hull relaxation, which is further tightened using several problem-specific properties of UC. We conduct extensive numerical experiments to study the tightness of this threshold, …

Unraveling Phytosulfokine Trafficking In Arabidopsis Thaliana Using Fiber-Optic Fluorescence Microscopy, Issaka Obuaba

Electronic Theses and Dissertations

As sessile organisms, plants manage stress through complex signaling networks involving phytohormones such as phytosulfokine (PSK). PSK, a disulfated pentapeptide, regulates plant growth, development, and stress responses by interacting with specific PSK receptors (PSKRs). In this study, we explored the trafficking dynamics of PSK, its post-application fate, and the synthesis of an analog. We administered both native PSK and a fluorescent version tagged with TAMRA (5(6)-carboxytetramethylrhodamine) to various Arabidopsis thaliana genotypes, including wild type, a PSKR-deficient mutant, and a strain overexpressing PSKR1 tagged with green fluorescent protein (GFP) over the wild-type background. Fiber-optic fluorescence microscopy revealed that receptor presence influences …

Mapping Amis Mill In Rogersville, Tennessee In The 1780s Using Geophysical Methods And Remote Sensing, Amy Collins

Electronic Theses and Dissertations

Geophysics and remote sensing were used at the Amis Mill and Homesite to determine the location of structures during the 1780s. Areas of interest were surveyed using shallow geophysical and remote sensing techniques including the orchard, horse pasture, original kitchen on the east side of the house, the west side of the house, plowed field, store site, and cemetery. After analyzing the results of the geophysical surveys and remote sensing, 22 sites were chosen to test inside and outside potential features. A large rectangular feature, possibly a tavern with a cellar, was discovered. Four other features were identified, three of …

Educator Perceptions Of Career And Technical Education Courses And The Involvement In Career And Technical Student Organizations On Student Attendance, Robert Satterfield

Electronic Theses and Dissertations

The purpose of this study was to investigate the perceptions of secondary teachers, administrators, and educational supervisors of the implications of Career and Technical Education courses and the involvement in Career and Technical Student Organizations on student attendance. Data for this study were collected quantitatively by utilizing Microsoft Forms to administer the survey to potential participants. The survey administered for this study contained 13 Likert scale questions and two open-ended questions. Once data were collected SPSS Version 25 was used to analyze the data from the survey. After data analysis, it was concluded that all 13 of the Likert scale …

Overcoming The Barrier To The Clinical Application Of Naloxone: Application Of Drug Delivery Technologies, Akeemat O. Tijani

Electronic Theses and Dissertations

Opioid overdose crisis continues to demand innovative solutions for rapid and effective drug administration. Naloxone (NAL), a critical opioid antagonist, has been the primary treatment for reversing opioid-induced respiratory depression. However, its current delivery methods, such as intravenous and intranasal formulations, are limited by their invasive nature, short half-life, and the need for repeated dosing. This dissertation investigates advanced drug delivery technologies aimed at overcoming these challenges and enhancing the clinical utility of NAL.

This research focused on improving the transdermal and transnasal delivery of NAL using minimally invasive techniques. Various approaches were evaluated, including sonophoresis, microneedles, laser ablation, dermaplaning …

Investigating Phytosulfokine Trafficking: Insights Into The Role Of Phytohormones In Plant Signaling, Martin Tindi

Electronic Theses and Dissertations

Phytosulfokine is a critical signaling peptide involved in plant growth, development, and stress responses. This thesis investigates the trafficking mechanisms of Phytosulfokine (PSK) in Arabidopsis thaliana, employing fluorescently labelled PSK for non-destructive imaging using a custom-built fiber-optic fluorescence microscope. The study aims to determine the mobility and fate of PSK in plant tissues. Experimental results reveal the short-range and long-range movement of PSK across leaves. Additionally, the project highlights the optimization of non-destructive imaging techniques and the synthesis of caged dexamethasone to facilitate optogenetic studies. These findings provide new insights into PSK trafficking mechanisms in plants, enhancing our understanding …

Service Provider Perceptions Of Systems Serving Individuals Experiencing Homelessness: A Needs Assessment And Strategic Plan In Johnson City, Tn, Opal Frye-Clark

Electronic Theses and Dissertations

This Integrated Learning Experience (ILE) investigates service providers' perceptions of Johnson City, Tennessee's homelessness services, aiming to inform a city-wide strategic plan for reduction. Employing a mixed-methods approach, the study gathered qualitative data through in-depth interviews with service providers in 2022 and quantitative data via a 2024 survey. The research focused on those directly involved in serving or significantly influencing the lives of individuals experiencing homelessness (IEH). Three key aims guided the investigation: (1) To analyze provider perspectives to identify community assets, opportunities, barriers, and unmet needs, informing a comprehensive needs assessment; (2) To refine these findings through SWOT analysis …

The Research On The Impact Of Listing Regime On Innovation For The Biotech Industry: Inspiration And Experience From Mb Rules 18a Published By Hkex, Yueying Dong

Dissertations and Theses Collection (Open Access)

The development of the Biotech Industry is not only connected to the national economy and livelihood of the people, but also affects the technology development, economy growth and national security of the country. The development depends on the technology innovation, with the essence for the continuous process of financial ecology guiding and technology refresh driving. For high-tech intensive industries of biotech companies, the development of the equity market is an important support for promoting the technology innovation. The capital market in guiding resource allocation has the responsibility of optimizing the listing regime, providing more external financing channels and promoting the …

Correlation And Causation Analysis For Cross-Sectional And Panel Data, Barry Nuqoba

Dissertations and Theses Collection (Open Access)

This dissertation investigates how data, algorithms, and expert knowledge can be harnessed to better understand human behavior and enhance well-being. It emphasizes the critical importance of interdisciplinary collaboration to bridge knowledge gaps and foster insights that support preventive care, causal theory advancement, and policy development.

The first study, part of the SHINESeniors project, shed light on the potential usefulness of passive, unobtrusive sensors for detecting nocturia and poor sleep quality, symptoms commonly observed in chronic diseases, thereby enabling live-alone older adults to age in place. Utilizing machine learning techniques on sensor-derived features, the study can identify nocturia and poor sleep …

Causality Analysis For Neural Network Security, Bing Sun

Dissertations and Theses Collection (Open Access)

While neural networks are demonstrating excellent performance in a wide range of applications, there has been a growing concern on their reliability and dependability.Similar to traditional decision-making programs, neural networks inevitably have defects that need to be identified and mitigated at times. Neural networks are usually inherently black-boxes and do not provide explanations on how and why decisions are made. As a result, these defects are more ``hidden" and more challenging to eliminate. It is thus crucial to develop systematic approaches to identify and mitigate defects in a neural network in a rigorous way.

In this dissertation, we focus on …

Towards Robust, Secure, And Privacy-Aware Large Language Models Of Code, Zhou Yang

Dissertations and Theses Collection (Open Access)

The field of software engineering has witnessed a surge in large language models specifically tailored to understand and process code, which we call large language models for code (LLM4Code). The increasing popularity of LLM4Code is inseparable from three key factors: the availability of extensive datasets compiled from diverse data sources, the advancements in deep learning algorithms and computational power that facilitate the training of these powerful models, and the active engagement and collaboration within the research community fostering innovation and the rapid exchange of ideas and methodologies. As evidenced by a series of studies, LLM4Code has been experiencing rapid development …

Interactive Known-Item Search In Large Video Corpora, Zhixin Ma

Dissertations and Theses Collection (Open Access)

The surge in video volume makes it challenging to locate a specific target with a single query using automatic video retrieval systems. The interactive video retrieval offers a solution by enabling users to iteratively refine a search. Nevertheless, existing systems often present users with an overwhelming number of similar videos, which can lead to mental fatigue while inspecting results and increase difficulty in providing feedback. This dissertation studies known-item video search and addresses four key challenges. First and foremost, as the link between users and the system, the interaction must be both efficient and effective. To ensure effectiveness, the user’s …

Soldiers In The Sideshows: The 409th Infantry Regiment In World War Ii, Nicholas Garrett

Master's Theses

In the European Theater of World War II certain battlefields or campaigns such as Operation Overlord, Operation Market Garden, and the Battle of the Bulge are core aspects of American memory. However, the men of the 409^th Infantry Regiment of the 103^rd Infantry Division do not fall into this image. This unit fought as part of the U.S. Seventh Army across eastern France through the Vosges Mountains, defended against the German Operation Nordwind and broke through the Siegfried Line into southeastern Germany. Though the 409^th represents a small portion of the men of the 103^rd, …

Computational Modeling In A Calculus-Based Physics Lab: Students’ Problems And Successes In Physics 2060, Abigail Sophia Flowers

Masters Theses

In the past few decades, computational modeling skills have become essential for students who want to pursue careers in physics or engineering. This issue of how to incorporate these skills into students' learning has become an important one because students in these degrees are already required to take several cognates outside of their chosen major. In 2018, Western Michigan University’s physics department decided to take on this issue by reformatting their introductory calculus-based physics labs to include computational modeling within the labs. The labs were first run in the Fall of 2018 and then were improved in spring 2019. When …

Geomorphic Assessment And Flow Modeling Of Pearl Darter (Percina Aurora) Habitat In The Pascagoula River Watershed, Malia Davidson

Master's Theses

Freshwater ecosystems are complex ecosystems driven by hydrologic, geomorphic, and biological processes. Considering both abiotic and biotic factors is important to understanding resident species habitat. Geomorphology is a known, but often neglected factor in habitat assessment for freshwater fishes. A crucial feature commonly seen in alluvial stream systems are sandbars, which are dynamic and variable sediment structures that are known to have many associated species. One such species is the Pearl Darter, Percina aurora, a federally threatened species that only resides in the Pascagoula River watershed. Despite its status, habitat preference remains unclear. To fill this knowledge gap, I …

Improving Student Outcomes Using Automated Feedback In A First-Year Economics Class, Sinead Huskisson, Tom O'Mahony, Seán Lacey

Dept. of Management & Enterprise Publications

The assessment literature advocates utilising formative assessment strategies to support and enhance student learning. This study uses online practice tests with inbuilt feedback, that students could repeatedly use, as a formative feedback strategy in a first-year introductory microeconomics module. The key question explored is whether repeated engagement with online practice tests had a statistically significant impact on students’ subsequent performance on a summative assessment. Quantitative engagement and performance data (N = 223) were collected from a cohort of first-year students. An analysis of this data reveals that engaging with the online practice test multiple times has a statistically significant impact …

Thermal Modeling Of Cooling Time Of Submarine Dacite Lapilli Tuff: Brothers Volcano, Kermadec Arc, Kyler Byrd

Master's Theses

Little is known about submarine volcanoes' eruptive histories and styles, even though they are essential to developing island arc systems and represent the second largest volcanic systems on Earth. Scientific drilling allows for the opportunity to study these systems. This study focused on two drill sites on Brothers volcano from IODP Expedition 376: Site U1528, located on the resurgent cone, and Site U1530, located on the caldera rim. Expedition researchers analyzed samples for clast radius, density, thermal conductivity, and specific heat. This data was then entered into the heat transfer equation of a sphere to create a cooling curve model …

Comparing Virtual And In-Person Delivery Modes Of A Preschool Stem School Readiness Program During The Pandemic, Yaebin Kim, Courtney E. Lyons, William P. Evans, Dan Weigel

Journal of Human Sciences and Extension

This study describes the transition of a preschool STEM school readiness program from in-person to virtual programming during the early pandemic phase, examines in-person and virtual program data to understand the effectiveness of these two program delivery modes, and presents lessons learned from this abrupt transition. Results suggest that in-person and virtual classes were effective and equivalent on parent ratings and program monitoring variables. Future study will be needed to fully determine the cost-benefit impacts of in-person, virtual, and hybrid program delivery models on STEM school readiness and other family engagement programs.

Montclair Magazine (Fall/Winter 2024), Montclair State University

Montclair: The magazine of Montclair State University

No abstract provided.

Geoflood: Computational Model For Overland Flooding, Brian Kyanjo

Boise State University Theses and Dissertations

Overland flooding, a critical environmental phenomenon, poses significant challenges for computational modeling due to its complex hydrodynamics and the need for high-resolution data. This thesis presents GeoFlood, a new open-source software package for overland flooding simulations. The computational model solves shallow water equations (SWE) on a quadtree hierarchy of mapped, logically Cartesian grids managed by the parallel, adaptive library ForestClaw (Calhoun & Burstedde, 2017). The model is validated using standard benchmark tests from Neelz & Pender (2013) and against results from the GeoClaw software (George, 2011; Clawpack Development Team, 2020) for the historical Malpasset dam break problem. The benchmark test …

Single-Shot Mev-Resolution Hard X-Ray Spectrograph For Cavity-Based X-Ray Free Electron Laser, Keshab Kauchha

Dissertations

The Cavity-Based X-ray Free Electron Laser (CBXFEL) is a possible future direction in the development of fully coherent hard X-ray sources of high spectral brilliance, a narrow spectral bandwidth of ≃ 1 − 100 meV, and a high repetition rate of ≃ 1 MHz. A diagnostic tool is required to measure CBXFEL spectra with a meV resolution on a shot-to-shot basis.

The CBXFEL hard X-ray spectrograph is designed to image 9.831 keV X-rays in a ≃ 200 meV spectral window and with a spectral resolution of a few meV using an LCLS XFEL (Linac Coherent Light Source X-ray Free Electron …

Compelling Compliance: An Analysis Of Methods For Enforcing New York’S Compulsory Education Law As Applied To Haredi Yeshivas, Kaitlyn Sivertsen

Fordham Law Review

This Note explains recent findings that many of New York’s Haredi yeshivas are failing to comply with the compulsory education laws and advocacy for the state to heighten enforcement. It examines other community members’ opposition to this belief and numerous legal challenges. This Note advances legal scholarship by pointing out that although these debates regarding education and religious freedom are important, in the context of New York’s Haredi yeshivas, they are futile without also recognizing that New York’s statute does not provide for efficient means of enforcement. There is little to no existing literature on this specific issue. Thus, this …

Adan: Adaptive Nesterov Momentum Algorithm For Faster Optimizing Deep Models, Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan

Research Collection School Of Computing and Information Systems

In deep learning, different kinds of deep networks typically need different optimizers, which have to be chosen after multiple trials, making the training process inefficient. To relieve this issue and consistently improve the model training speed across deep networks, we propose the ADAptive Nesterov momentum algorithm, Adan for short. Adan first reformulates the vanilla Nesterov acceleration to develop a new Nesterov momentum estimation (NME) method, which avoids the extra overhead of computing gradient at the extrapolation point. Then Adan adopts NME to estimate the gradient's first- and second-order moments in adaptive gradient algorithms for convergence acceleration. Besides, we prove that …

3d Snapshot: Invertible Embedding Of 3d Neural Representations In A Single Image, Yuqin Lu, Bailin Deng, Zhixuan Zhong, Tianle Zhang, Yuhui Quan, Hongmin Cai, Shengfeng He

Research Collection School Of Computing and Information Systems

3D neural rendering enables photo-realistic reconstruction of a specific scene by encoding discontinuous inputs into a neural representation. Despite the remarkable rendering results, the storage of network parameters is not transmission-friendly and not extendable to metaverse applications. In this paper, we propose an invertible neural rendering approach that enables generating an interactive 3D model from a single image (i.e., 3D Snapshot). Our idea is to distill a pre-trained neural rendering model (e.g., NeRF) into a visualizable image form that can then be easily inverted back to a neural network. To this end, we first present a neural image distillation method …

Generative Semi-Supervised Graph Anomaly Detection, Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang

Research Collection School Of Computing and Information Systems

This work considers a practical semi-supervised graph anomaly detection (GAD) scenario, where part of the nodes in a graph are known to be normal, contrasting to the extensively explored unsupervised setting with a fully unlabeled graph. We reveal that having access to the normal nodes, even just a small percentage of normal nodes, helps enhance the detection performance of existing unsupervised GAD methods when they are adapted to the semi-supervised setting. However, their utilization of these normal nodes is limited. In this paper we propose a novel Generative GAD approach (namely GGAD) for the semi-supervised scenario to better exploit the …

Learning To Handle Complex Constraints For Vehicle Routing Problems, Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang

Research Collection School Of Computing and Information Systems

Vehicle Routing Problems (VRPs) can model many real-world scenarios and often involve complex constraints. While recent neural methods excel in constructing solutions based on feasibility masking, they struggle with handling complex constraints, especially when obtaining the masking itself is NP-hard. In this paper, we propose a novel Proactive Infeasibility Prevention (PIP) framework to advance the capabilities of neural methods towards more complex VRPs. Our PIP integrates the Lagrangian multiplier as a basis to enhance constraint awareness and introduces preventative infeasibility masking to proactively steer the solution construction process. Moreover, we present PIP-D, which employs an auxiliary decoder and two adaptive …

Inverse Factorized Soft Q-Learning For Cooperative Multi-Agent Imitation Learning, The Viet Bui, Tien Mai, Thanh Nguyen

Research Collection School Of Computing and Information Systems

This paper concerns imitation learning (IL) in cooperative multi-agent systems.The learning problem under consideration poses several challenges, characterized by high-dimensional state and action spaces and intricate inter-agent dependencies. In a single-agent setting, IL was shown to be done efficiently via an inverse soft-Q learning process. However, extending this framework to a multi-agent context introduces the need to simultaneously learn both local value functions to capture local observations and individual actions, and a joint value function for exploiting centralized learning.In this work, we introduce a new multi-agent IL algorithm designed to address these challenges. Our approach enables thecentralized learning by leveraging …

Trustworthy Web3 Domains: A Framework For Digital Identity Verification, Yi Meng Lau, Ping Fan Ke

Research Collection School Of Computing and Information Systems

As decentralized applications evolve, digital identities represented through Web3 domain names gained prominence. This study addresses the challenges of establishing trust in Web3 domain names. The decentralized nature of Web3 introduces complexities in verifying domain name authenticity, making them targets for malicious activities such as cybersquatting and phishing. We propose a comprehensive framework that enhances traditional identification, authentication, and authorization processes by incorporating technological and social trust elements. This framework enables organizations and users to systematically assess the trustworthiness of Web3 domain names, offering a structured approach to managing digital identities in decentralized environments.

Towards General Conceptual Model Editing Via Adversarial Representation Engineering, Yihao Zhang, Zeming Wei, Jun Sun, Meng Sun

Research Collection School Of Computing and Information Systems

Since the rapid development of Large Language Models (LLMs) has achieved remarkable success, understanding and rectifying their internal complex mechanisms has become an urgent issue. Recent research has attempted to interpret their behaviors through the lens of inner representation. However, developing practical and efficient methods for applying these representations for general and flexible model editing remains challenging. In this work, we explore how to leverage insights from representation engineering to guide the editing of LLMs by deploying a representation sensor as an editing oracle. We first identify the importance of a robust and reliable sensor during editing, then propose an …

Question-Attentive Review-Level Explanation For Neural Rating Regression, Trung Hoang Le, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Recommendation explanations help to improve their acceptance by end users. Explanations come in many different forms. One that is of interest here is presenting an existing review of the recommended item as the explanation. The challenge is in selecting a suitable review, which is customarily addressed by assessing the relative importance or “attention” of each review to the recommendation objective. Our focus is improving review-level explanation by leveraging additional information in the form of questions and answers (QA). The proposed framework employs QA in an attention mechanism that aligns reviews to various QAs of an item and assesses their contribution …