Digital Commons Network^™

The Kruger Collection Reimagined: A Case Study In 3d Scanning And Interactive Exhibit Design, Annissa Davis

Department of Anthropology: Theses and Student Research

This thesis examines the use of 3D modeling in museum exhibition to create exploratory exhibits that facilitate unique relationships between the visitors and the collection beyond what is provided by the collection’s in person counterparts. Typical use of 3D modeling in museums is currently often representative rather than exploratory. By employing a Digital Humanities lens to approach the development of a digital exhibition utilizing 3D technology and interactive elements created in a video game engine (Unity), this thesis project evaluates these potential new relationships. Using the Eloise Kruger Collection of Miniatures as a case study, the following text details the …

A Manual On The Planning And Integration Of Archaeological Methods In To Outdoor Forensic Search Investigations, Jonathan Robert Garcia

Department of Anthropology: Theses and Student Research

As archaeology and its applications into forensic contexts develop into the growing discipline of forensic archaeology, an increasing amount of literature has resulted stemming from research on the integration of common archaeological methods. However, much of this literature is intended for professional archaeologists or forensic anthropologists who are well experienced in their respective disciplines. Emerging literature generally does not consider those who leads efforts at forensic scenes in the outdoors such as law enforcement officers who often lack a background in archaeology or forensic anthropology. This thesis seeks to resolve this dilemma by creating a new and accessible manual. The …

Carmina Anacreontea 1-20: Text, Translation, And Commentary, Bayla Kamens

Arts & Sciences Graduate Student Theses and Dissertations

No abstract provided.

Student Self-Efficacy And Attitude In Organic Chemistry: A Comparison Of Two Pedagogical Approaches, Matthew Autry

Arts & Sciences Graduate Student Theses and Dissertations

No abstract provided.

“It's More Than A Book Club”: Counterspaces And Bibliotherapic Wellness Among Black Undergraduate Women, Khrystal Johnson

Arts & Sciences Graduate Student Theses and Dissertations

Black students at Predominantly White Institutions (PWI) face heightened vulnerability to general and race-related stressors, necessitating the identification of culturally responsive and alternative care approaches to complement traditional talk therapy and clinical assessment, given the associated adverse academic and psychological outcomes. The current study explores the utility of a Black women-focused book club as an inclusive and identity-affirming space for Black women attending an elite and private PWI. Additionally, we consider how this bibliotherapic and group-based approach offered a critical counterspace for participants. Over the course of a four-month semester, two Black women co-facilitators held a monthly book club series …

Cardiovascular Risk As A Mediator Of Associations Between Brain-Derived Neurotrophic Factor With Longitudinal Brain And Cognitive Trajectories In Older Adults, Jennifer Shearon

Arts & Sciences Graduate Student Theses and Dissertations

Prior work has shown that higher levels of brain-derived neurotrophic factor (BDNF) are associated with better brain health and cognitive function. There is also evidence that BDNF is present in cardiovascular tissue and that it may be beneficial for cardiovascular function. This is evidenced by higher BDNF being associated with lower incidence of coronary heart disease and mortality, and with lower incidence of cardiovascular risk factors. The goal of the current study was to investigate the relationship between BDNF and cardiovascular function, and to assess whether there is a mediating or moderating role of cardiovascular health in the relationship between …

The Domain Specificity And Conscious Awareness Of Learned Memory Biases, Gizem Filiz

Arts & Sciences Graduate Student Theses and Dissertations

The False Positive Feedback (FPF) manipulation encourages certain recognition errors by inducing either liberal (lax) or conservative (strict) recognition memory decision biases. FPF manipulation involves trial-by-trial probabilistic positive feedback for commission or omission errors while the other stimulus class always received fully correct feedback during testing. We investigated whether these learned biases are restricted to the stimulus class triggering FPF, or whether they instead spread to an intermixed class receiving valid feedback, by selectively delivering FPF to words or pictures. A spreading bias would suggest that subjects learn to be liberal or conservative in interpreting recognition evidence in general during …

Bidding Strategy For A Wind Power Producer In Us Energy And Reserve Markets, Anne Stratman

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Wind power is one of the world's fastest-growing renewable energy resources and has expanded quickly within the US electric grid. Currently, wind power producers (WPPs) may sell energy products in US markets but are not allowed to sell reserve products, due to the uncertain and intermittent nature of wind power. However, as wind’s share of the power supply grows, it may eventually be necessary for WPPs to contribute to system-wide reserves. This paper proposes a stochastic optimization model to determine the optimal offer strategy for a WPP that participates in the day-ahead and real-time energy and spinning reserve markets. The …

Vr Circuit Simulation With Advanced Visualization For Enhancing Comprehension In Electrical Engineering, Elliott Wolbach

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

As technology advances, the field of electrical and computer engineering continuously demands innovative tools and methodologies to facilitate effective learning and comprehension of fundamental concepts. Through a comprehensive literature review, it was discovered that there was a gap in the current research on using VR technology to effectively visualize and comprehend non-observable electrical characteristics of electronic circuits. This thesis explores the integration of Virtual Reality (VR) technology and real-time electronic circuit simulation with enhanced visualization of non-observable concepts such as voltage distribution and current flow within these circuits. The primary objective is to develop an immersive educational platform that makes …

An Investigation Of Information Structures In Dna, Joel Mohrmann

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

The information-containing nature of the DNA molecule has been long known and observed. One technique for quantifying the relationships existing within the information contained in DNA sequences is an entity from information theory known as the average mutual information (AMI) profile. This investigation sought to use principally the AMI profile along with a few other metrics to explore the structure of the information contained in DNA sequences.

Treating DNA sequences as an information source, several computational methods were employed to model their information structure. Maximum likelihood and maximum a posteriori estimators were used to predict missing bases in DNA sequences. …

Front Matter

Hemisphere: Visual Cultures of the Americas

No abstract provided.

Hemisphere:Visual Cultures Of The Americas Volume Xvi 2024

Hemisphere: Visual Cultures of the Americas

No abstract provided.

Editor’S Introduction To Volume Xvi: Science, Medicine, And The Visual Arts In Dialogue: The Ibero-American Context, Then And Now, Mariela Espinoza-Leon

Hemisphere: Visual Cultures of the Americas

No abstract provided.

Wonders Of The Ancestral Puebloans: Astronomers, Engineers, And Magicians Of The Four Corners, Ashar Mobeen

Hemisphere: Visual Cultures of the Americas

No abstract provided.

Neither “Before” Nor “After”: Fat Ambivalence In Laura Aguilar’S Body (Of Work), Joe Baez

Hemisphere: Visual Cultures of the Americas

No abstract provided.

Savor The Tropical Andes: New Geopolitical Approach To Vicente Albán’S Quito Series (1783), Yunji Lee

Hemisphere: Visual Cultures of the Americas

No abstract provided.

Artist Spotlight, Claudia Hermano

Hemisphere: Visual Cultures of the Americas

No abstract provided.

(Review) Caroline Winterer’S How The New World Became Old: The Deep Time Revolution In America, Emmanuel Ramos-Barajas

Hemisphere: Visual Cultures of the Americas

No abstract provided.

“The Digital Renaissance A Study Of India’S Print Media And Literary Trends”, Sudhanshu Bajpai, Kamal Bajpai

Library Philosophy and Practice (e-journal)

India's digital landscape has experienced significant growth, boasting 692 million active internet users and 467 million social media users as of February 2023. The surge in online news consumption during the COVID-19 pandemic underscores the population's reliance on digital platforms for information. Analysis reveals varying engagement levels between rural and urban areas, with online platforms dominating news access. Educational qualifications influence news source preferences, with YouTube emerging as the dominant platform. Visual and interactive content formats gain prominence, highlighting the need for adaptation to evolving consumer preferences. The data underscores a diverse range of interests among digital news consumers, emphasizing …

E-Resources In Law Libraries : Study Of User Satisfaction In The Select University Libraries Of Delhi, Gunjan Gupta, Sudhir Tyagi

Library Philosophy and Practice (e-journal)

In the era of digital revolution, academic libraries, especially law libraries, are at the forefront of considering innovative technologies to enhance user experience and satisfaction. The print to digital shift in libraries has not only expanded access to a vast range of resources but also created new challenges in terms of user engagement, resource management, and service quality. This article aims to explore the impact of e-resources on the users in law libraries. The paper focuses upon a comprehensive analysis of user satisfaction levels and investigating the extent to which these resources meet the needs of their users.The research methodology …

Towards Explainable Harmful Meme Detection Through Multimodal Debate Between Large Language Models, Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang

Research Collection School Of Computing and Information Systems

The age of social media is flooded with Internet memes, necessitating a clear grasp and effective identification of harmful ones. This task presents a significant challenge due to the implicit meaning embedded in memes, which is not explicitly conveyed through the surface text and image. However, existing harmful meme detection methods do not present readable explanations that unveil such implicit meaning to support their detection decisions. In this paper, we propose an explainable approach to detect harmful memes, achieved through reasoning over conflicting rationales from both harmless and harmful positions. Specifically, inspired by the powerful capacity of Large Language Models …

Escaping Saddle Points In Heterogeneous Federated Learning Via Distributed Sgd With Communication Compression, Sijin Chen, Zhize Li, Yuejie Chi

Research Collection School Of Computing and Information Systems

We consider the problem of finding second-order stationary points in the optimization of heterogeneous federated learning (FL). Previous works in FL mostly focus on first-order convergence guarantees, which do not rule out the scenario of unstable saddle points. Meanwhile, it is a key bottleneck of FL to achieve communication efficiency without compensating the learning accuracy, especially when local data are highly heterogeneous across different clients. Given this, we propose a novel algorithm PowerEF-SGD that only communicates compressed information via a novel error-feedback scheme. To our knowledge, PowerEF-SGD is the first distributed and compressed SGD algorithm that provably escapes saddle points …

Q-Learning Based Framework For Solving The Stochastic E-Waste Collection Problem, Dang Viet Anh Nguyen, Aldy Gunawan, Mustafa Misir, Pieter Vansteenwegen

Research Collection School Of Computing and Information Systems

Electrical and Electronic Equipment (EEE) has evolved into a gateway for accessing technological innovations. However, EEE imposes substantial pressure on the environment due to the shortened life cycles. E-waste encompasses discarded EEE and its components which are no longer in use. This study focuses on the e-waste collection problem and models it as a Vehicle Routing Problem with a heterogeneous fleet and a multi-period planning problem with time windows as well as stochastic travel times. Two different Q-learning-based methods are designed to enhance the search procedure for finding solutions. The first method involves utilizing the state-action value to determine the …

Ublade: Efficient Batch Processing For Uncertainty Graph Queries, Siyuan Yao, Yuchen Li, Shixuan Sun, Jiaxin Jiang, Bingsheng He

Research Collection School Of Computing and Information Systems

The study of uncertain graphs is crucial in diverse fields, including but not limited to protein interaction analysis, viral marketing, and network reliability. Processing queries on uncertain graphs presents formidable challenges due to the vast probabilistic space they encapsulate. While existing systems employ batch processing to address these challenges, their performance is often compromised by the suboptimal selection of parallel graph traversal methods, the excessive costs in random number generation, and additional sampling-loads intrinsic to batch processing. In this paper, we introduce uBlade, an efficient batch-processing framework for uncertain graph queries on multi-core CPUs. uBlade utilizes the work-efficient graph traversal, …

Enabling Roll-Up And Drill-Down Operations In News Exploration With Knowledge Graphs For Due Diligence And Risk Management, Sha Wang, Yuchen Li, Hanhua Xiao, Zhifeng Bao, Yanfei Dong

Research Collection School Of Computing and Information Systems

Efficient news exploration is crucial in real-world applications, particularly within the financial sector, where numerous control and risk assessment tasks rely on the analysis of public news reports. The current processes in this domain predominantly rely on manual efforts, often involving keyword-based searches and the compilation of extensive keyword lists. In this paper, we introduce NCEXPLORER, a framework designed with OLAP-like operations to enhance the news exploration experience. NCEXPLORER empowers users to use roll-up operations for a broader content overview and drill-down operations for detailed insights. These operations are achieved through integration with external knowledge graphs (KGs), encompassing both fact-based …

Text-Attributed Graph Representation Learning : Methods, Applications, And Challenges, Ce Zhang, Menglin Yang, Rex Ying, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Text documents are usually connected in a graph structure, resulting in an important class of data named text-attributed graph, e.g., paper citation graph and Web page hyperlink graph. On the one hand, Graph Neural Networks (GNNs) consider text in each document as general vertex attribute and do not specifically deal with text data. On the other hand, Pre-trained Language Models (PLMs) and Topic Models (TMs) learn effective document embeddings. However, most models focus on text content in each single document only, ignoring link adjacency across documents. The above two challenges motivate the development of text-attributed graph representation learning, combining GNNs …

Factored Mdp Based Moving Target Defense With Dynamic Threat Modeling, Megha Bose, Praveen Paruchuri, Akshat Kumar

Research Collection School Of Computing and Information Systems

Moving Target Defense (MTD) has emerged as a proactive defense framework to counteract ever-changing cyber threats. Existing approaches often make assumptions about attacker-side knowledge and behavior, potentially resulting in suboptimal defense. This paper introduces a novel MTD approach, leveraging a Markov Decision Process (MDP) model that eliminates the need for prior knowledge about attacker intentions or payoffs. Our framework seamlessly integrates real-time attacker responses into the defender's MDP using a dynamic Bayesian network. We use a factored MDP model to enable a more comprehensive and realistic representation of the system having multiple switchable aspects and also accommodate incremental updates of …

Fashionregen: Llm‑Empowered Fashion Report Generation, Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat‑Seng Chua, Qing Li

Research Collection School Of Computing and Information Systems

Fashion analysis refers to the process of examining and evaluating trends, styles, and elements within the fashion industry to understand and interpret its current state, generating fashion reports. It is traditionally performed by fashion professionals based on their expertise and experience, which requires high labour cost and may also produce biased results for relying heavily on a small group of people. In this paper, to tackle the Fashion Report Generation (FashionReGen) task, we propose an intelligent Fashion Analyzing and Reporting system based the advanced Large Language Models (LLMs), debbed as GPT-FAR. Specifically, it tries to deliver FashionReGen based on effective …

Attribute-Hiding Fuzzy Encryption For Privacy-Preserving Data Evaluation, Zhenhua Chen, Luqi Huang, Guomin Yang, Willy Susilo, Xingbing Fu, Xingxing Jia

Research Collection School Of Computing and Information Systems

Privacy-preserving data evaluation is one of the prominent research topics in the big data era. In many data evaluation applications that involve sensitive information, such as the medical records of patients in a medical system, protecting data privacy during the data evaluation process has become an essential requirement. Aiming at solving this problem, numerous fuzzy encryption systems for different similarity metrics have been proposed in literature. Unfortunately, the existing fuzzy encryption systems either fail to achieve attribute-hiding or achieve it, but are impractical. In this paper, we propose a new fuzzy encryption scheme for privacy-preserving data evaluation based on overlap …

On The Feasibility Of Simple Transformer For Dynamic Graph Modeling, Yuxia Wu, Yuan Fang, Lizi Liao

Research Collection School Of Computing and Information Systems

Dynamic graph modeling is crucial for understanding complex structures in web graphs, spanning applications in social networks, recommender systems, and more. Most existing methods primarily emphasize structural dependencies and their temporal changes. However, these approaches often overlook detailed temporal aspects or struggle with long-term dependencies. Furthermore, many solutions overly complicate the process by emphasizing intricate module designs to capture dynamic evolutions. In this work, we harness the strength of the Transformer’s self-attention mechanism, known for adeptly handling long-range dependencies in sequence modeling. Our approach offers a simple Transformer model, called SimpleDyG, tailored for dynamic graph modeling without complex modifications. We …