Digital Commons Network^™

Hdifftg: A Lightweight Hybrid Diffusion-Transformer-Gcn Architecture For 3d Human Pose Estimation, Yajie Fu, Chaorui Huang, Junwei Li, Hui Kong, Yibin Tian, Huakang Li, Zhiyuan Zhang

Research Collection School Of Computing and Information Systems

We propose HDiffTG, a novel 3D Human Pose Estimation (3DHPE) method that integrates Transformer, Graph Convolutional Network (GCN), and diffusion model into a unified framework. HDiffTG leverages the strengths of these techniques to significantly improve pose estimation accuracy and robustness while maintaining a lightweight design. The Transformer captures global spatiotemporal dependencies, the GCN models local skeletal structures, and the diffusion model provides step-by-step optimization for fine-tuning, achieving a complementary balance between global and local features. This integration enhances the model’s ability to handle pose estimation under occlusions and in complex scenarios. Furthermore, we introduce lightweight optimizations to the integrated model …

O-Mapl: Offline Multi-Agent Preference Learning, The Viet Bui, Tien Mai, Hong Thanh Nguyen

Research Collection School Of Computing and Information Systems

Inferring reward functions from demonstrations is a key challenge in reinforcement learning (RL), particularly in multi-agent RL (MARL). The large joint state-action spaces and intricate inter-agent interactions in MARL make inferring the joint reward function especially challenging. While prior studies in single-agent settings have explored ways to recover reward functions and expert policies from human preference feedback, such studies in MARL remain limited. Existing methods typically combine two separate stages, supervised reward learning, and standard MARL algorithms, leading to unstable training processes. In this work, we exploit the inherent connection between reward functions and Q functions in cooperative MARL to …

Sparse-To-Dense: A Free Lunch For Lossless Acceleration Of Video Understanding In Llms, Xuan Zhang, Cunxiao Du, Sicheng Yu, Jiawei Wu, Fengzhuo Zhang, Wei Gao, Qian Liu

Research Collection School Of Computing and Information Systems

Due to the auto-regressive nature of current video large language models (Video-LLMs), the inference latency increases as the input sequence length grows, posing challenges for the efficient processing of video sequences that are usually very long. We observe that during decoding, the attention scores of most tokens in Video-LLMs tend to be sparse and concentrated, with only certain tokens requiring comprehensive full attention. Based on this insight, we introduce Sparse-to-Dense (StD), a novel decoding strategy that integrates two distinct modules: one leveraging sparse top-K attention and the other employing dense full attention. These modules collaborate to accelerate Video-LLMs without loss. …

Retrieval Augmented Generation For Dynamic Graph Modeling, Yuxia Wu, Lizi Liao, Yuan Fang

Research Collection School Of Computing and Information Systems

Modeling dynamic graphs, such as those found in social networks, recommendation systems, and e-commerce platforms, is crucial for capturing evolving relationships and delivering relevant insights over time. Traditional approaches primarily rely on graph neural networks with temporal components or sequence generation models, which often focus narrowly on the historical context of target nodes. This limitation restricts the ability to adapt to new and emerging patterns in dynamic graphs. To address this challenge, we propose a novel framework, Retrieval-Augmented Generation for Dy namic Graph modeling (RAG4DyG ), which enhances dynamic graph predictions by incorporating contextually and temporally relevant examples from broader …

Information Bottleneck‑Guided Mlps For Robust Spatial‑Temporal Forecasting, Min Chen, Guansong Pang, Wenjun Wang, Cheng Yan

Research Collection School Of Computing and Information Systems

Spatial-temporal forecasting (STF) plays a pivotal role in urban planning and computing. Spatial-Temporal Graph Neural Networks (STGNNs) excel at modeling spatial-temporal dynamics, thus being robust against noise perturbations. However, they often suffer from relatively poor computational efficiency. Simplifying the architectures can improve efficiency but also weakens robustness with respect to noise interference. In this study, we investigate the problem: can simple neural networks such as Multi-Layer Perceptrons (MLPs) achieve robust spatial-temporal forecasting while remaining efficient? To this end, we first reveal the dual noise effect in spatial-temporal data and propose a theoretically grounded principle termed Robust Spatial-Temporal Information Bottleneck (RSTIB), …

Fashiondpo: Fine‑Tune Fashion Outfit Generation Model Using Direct Preference Optimization, Mingzhe Yu, Yunshan Ma, Lei Wu, Changshuo Wang, Xue Li, Lei Meng

Research Collection School Of Computing and Information Systems

Personalized outfit generation aims to construct a set of compatible and personalized fashion items as an outfit. Recently, generative AI models have received widespread attention, as they can generate fashion items for users to complete an incomplete outfit or create a complete outfit. However, they have limitations in terms of lacking diversity and relying on the supervised learning paradigm. Recognizing this gap, we propose a novel framework FashionDPO, which fine-tunes the fashion outfit generation model using direct preference optimization. This framework aims to provide a general fine-tuning approach to fashion generative models, refining a pre-trained fashion outfit generation model using …

What Are Anomalies In A Network?, Kai Ming Ting, Zhong Zhuang, Guansong Pang, Zongyou Liu, Tianrun Liang, Qiuran Zhao

Research Collection School Of Computing and Information Systems

This article examines a collection of assumptions used in the current literature on node anomaly detection in a network. The examination raises the question: What are anomalies in a network? Our attempt to answer this question has provided some interesting findings and led to some open questions. This is the first article which formally defines anomalies in a network and introduces the concept of self-verifiability of a detector without ground-truths in a network. They enable existing detectors to be categorized into two types along the line whether they are self-verifiable or not. We suggest a method to evaluate self-verifiable detectors …

The Basic Structure In Malaysia: Less Than Meets The Eye, Benjamin Joshua Ong

Research Collection Yong Pung How School Of Law

At first glance, studying the basic structure doctrine in Malaysia can be frustrating due to its inconsistent judicial treatment. While early cases such as Loh Kooi Choon and Phang Chin Hock rejected the doctrine, it was later accepted in landmark decisions like Sivarasa Rasiah, Semenyih Jaya, and Indira Gandhi. In 2020, scholars such as Jaclyn Neo and Yvonne Tew suggested a judicial embrace of the doctrine and its global trend toward constitutional unamendability. However, the Federal Court’s 2021 decision in Maria Chin Abdullah appeared to reject it once more, illustrating the doctrine’s precarious status. The resurgence seen in Dhinesh a/l …

The Aggregate Welfare And Trade Implications Of Contracting Frictions In Global Sourcing, Davin Chor, Lin Ma

Research Collection School Of Economics

How much do contracting frictions between global firms and their suppliers impact country welfare and trade? We answer this by developing a model of global sourcing under partial contractibility, where firm-supplier relationships are exposed to a bilateral holdup problem. Sourcing decisions aggregate into a gravity equation for trade flows by organizational mode (intrafirm vs. arm’s length), which we take to structural estimation. We can then evaluate welfare changes with an extended Arkolakis, Costinot and Rodriguez-Clare (2012) formula that incorporates these contracting frictions. Our counterfactual analysis reveals a sizeable average country welfare gain of 9.2% from eliminating contracting frictions in global …

High Frequency Factor Analysis With Partially Observable Factors, Dachuan Chen, Wenqi Lu, Siyu Xie

Research Collection School Of Economics

This paper considers a novel factor structure – Partially Observable Factor Model – where both observable factors and latent factors exist in the model simultaneously. Such factor structure can make sure both interpretability and goodness-of-fit at the same time. Necessary estimation methodologies for this partially observable factor model are developed in this paper for the high frequency data. The proposed estimation methodology is robust to jumps, microstructure noise and asynchronous observation times simultaneously.When the observable factors are exogenous, we provide the estimation theory for the integrated eigenvalues of the residual covariance matrix, which including the bias-corrected estimator, central limit theorem …

The Unappreciated Role Of Intent In Algorithmic Moderation Of Abusive Content On Social Media, Xinyu Wang, Sai Koneru, Pranav Narayanan Venkit, Brett Frischmann, Sarah Rajtmajer

Faculty Publications

No abstract provided.

Civilian Enforcers, Karen Pita Loor

Faculty Scholarship

This Article analyzes the largely unexplored phenomenon of militant civilians engaged in efforts to police and silence activism that challenges entrenched American power systems and economic distributions placing whites atop the social hierarchy in the United States. I argue that this civilian enforcement is an unregulated vessel for state-sponsored violence meant to silence the contestation of the existing racial hierarchy. While scholars, myself included, have written about the many ways police confront and silence racial justice activists on the streets at least since the beginning of the Black Lives Matter (BLM) movement, the role law enforcement plays in silencing racial …

"What Shall Be Orthodox" In Polarized Times: Overview And Response To Commentators, Linda C. Mcclain, James E. Fleming

Faculty Scholarship

“If there is any fixed star in our constitutional constellation, it is that no official, high or petty, can prescribe what shall be orthodox in politics, nationalism, religion, or other matters of opinion or force citizens to confess by word or act their faith therein.” Justice Robert Jackson wrote this celebrated passage in his majority opinion in West Virginia State Board of Education v. Barnette (1943), which protected the First Amendment right of Jehovah’s Witness children not to participate in a compulsory flag salute in public schools. In recent years, protests against imposed orthodoxy—usually invoking Barnette—have occurred in …

A Historical Case For A Robust But Non-Remedial Seventh Amendment, Jed Handelsman Shugerman

Faculty Scholarship

In Jarkesy, the Supreme Court rightly held that the Seventh Amendment required a jury trial for a case fundamentally similar to common law fraud, and it rightly limited the scope of the “public rights” exception to the Seventh Amendment. Grounded in historical and originalist methods, this essay makes four suggestions after Jarkesy:

1. Following Jarkesy, the judiciary should continue a more robust enforcement of the Seventh Amendment right to a jury trial. The courts should eliminate the “public rights” exception to the Seventh Amendment, which does not appear to have an original link to the Seventh Amendment. The …

The Crucial Role Of Insolvency Law In Job Creation And Preservation, Andrés F. Martínez, Aurelio Gurrea-Martinez, Harish Natarajan

Research Collection Yong Pung How School Of Law

When companies face financial trouble, potential job losses can be a major risk for people and—depending on the size of the company or industry in trouble—a risk to local or national economies. An efficient insolvency system can mitigate this risk while contributing to the creation of more and better jobs. As jobs are the most critical tool in fighting poverty, a better understanding of the effects of insolvency law on employment is vital for development work.

Defining Lipedema’S Molecular Hallmarks By Multi-Omics Approach For Disease Prediction In Women, Leon G Straub, Jan-Bernd Funcke, Nolwenn Joffin, Chanmin Joung, Sara Al-Ghadban, Shangang Zhao, Qingzhang Zhu, Ilja L Kruglikov, Yi Zhu, Paul R Langlais, Ruth Gordillo, Karen L Herbst, Philipp E Scherer

Children’s Nutrition Research Center Staff Publications

Lipedema is a chronic disease in females characterized by pathologic subcutaneous adipose tissue expansion and hitherto remains without druggable targets. In this observational study, we investigated the molecular hallmarks of lipedema using an unbiased multi-omics approach. We found adipokine dysregulation in lipedema patients participating in a cross-sectional clinical study (ClinicalTrial.gov, NCT02838277), pointing towards the adipocyte as a key player. Analyses of newly generated transcriptomic (SRA, PRJNA940039) and proteomic (ProteomeXchange, PXD058489) datasets of early- and late-stage lipedema samples revealed a local downregulation of factors involved in inflammation. Concomitantly, factors involved in cellular respiration, oxidative phosphorylation, as well as in mitochondrial …

An Originalist Case For Birthright Citizenship Of Unlawful Immigrants' Children: Anti-Gypsy And Anti-Chinese Restrictions As Context, Jed Handelsman Shugerman

Faculty Scholarship

The Trump administration and other opponents of birthright citizenship for the children of “unlawful immigrants” make the following originalist claim about the Fourteenth Amendment: Even if the clause meant birthright citizenship, it applies today only to “lawful immigrants,” because the category of “unlawful immigrant” or “illegal immigrant” did not exist in the 1860s, when the clause was written and ratified. Opponents also argue that the Fourteenth Amendment’s citizenship clause originally implied a “loyalty” or “allegiance” requirement.

These assertions are historically inaccurate.

To the contrary, the concept of “unlawful immigrants” existed in the 1850s-60s, and Americans ratified birthright citizenship without indicating …

Consumer Behavior Of Gen Z In Kosovo: Purchasing Preferences And Brand Engagement, Sara Dumani

Theses

This capstone project examines the consumer behavior of Generation Z in Kosovo by analyzing their purchasing preferences and brand engagement. The Generation Z demographic, which includes individuals born between 1996 and 2010, is the focus of this study. This generation is characterized by digital savviness and a significant influence from social media platforms, shaping their purchasing decisions and brand engagement. Generation Z’s behavior is often marked by a preference for online shopping, collaborative marketing approaches, and sustainability, making it essential to understand these factors in the context of Kosovo. The data for analyzing Generation Z’s consumer behavior were collected through …

Predicting & Analyzing University Success: Machine Learning Approaches To Predict Performance From Socioeconomic And Educational Data, Ali Alrais

Theses

Accurately predicting learner performance is a significant challenge in education since diverse and interrelated factors contribute to academic success. High school grades and standardized test scores remain the primary indicators used for university admissions. However, such approaches fail to capture the complexities surrounding student learning. For instance, various cognitive, cultural, socioeconomic, and environmental influences shape academic outcomes. Educators need to adopt more comprehensive predictive models that consider in-depth learner differences. Reliable academic performance prediction can help schools optimize admissions decisions, allocate resources effectively, and implement targeted interventions to support at-risk students. This study adopted a quantitative primary research approach with …

Identifying Underspecifications In Security Requirements Using A Formal Reasoning Approach, Viktoria Koscinski

Theses

Within requirements engineering, software requirements specifications tend to prioritize functional needs, potentially failing to capture critical security aspects and adequate security requirements. Security requirements engineering is a manual and error-prone activity often neglected due to the knowledge gap between cybersecurity professionals and software requirements engineers. Consequently, security requirements are especially prone to being underspecified, a condition where they lack a complete set of feature-values and are thus open to multiple interpretations. Underspecified security requirements can lead to incorrect assumptions and missing security properties, often remaining undiscovered until system deployment, thereby leaving the system vulnerable to exploitation. Furthermore, even individually well-written …

Evaluating The Predictive Value Of Basc-3 Anxiety Scale And Working Memory Index Scores For Clinically Significant Test Anxiety: A Comprehensive Analysis Of Non-Classifiable Cases, Des'tiana S. Williams

Electronic Theses and Dissertations

This dissertation will explore how test anxiety (TA) affects working memory (WM) and whether certain factors can help predict higher levels of test anxiety. Anxiety has been defined as a common experience that can show up in various forms—like general worry, social fears, panic attacks, and specific phobias (APA, 2022). It was described as often triggering our natural “fight-or-flight” response, which can impact our ability to focus, think clearly, and remember things. For students, test anxiety has been especially challenging, affecting how they perform in high-stakes academic settings. Using data from a university based psychological assessment center, this study will …

Evaluating The Predictive Value Of Basc-3 Anxiety Scale And Working Memory Index Scores For Clinically Significant Test Anxiety: A Comprehensive Analysis Of Non-Classifiable Cases, Des'tiana S. Williams

Electronic Theses and Dissertations

This dissertation will explore how test anxiety (TA) affects working memory (WM) and whether certain factors can help predict higher levels of test anxiety. Anxiety has been defined as a common experience that can show up in various forms—like general worry, social fears, panic attacks, and specific phobias (APA, 2022). It was described as often triggering our natural “fight-or-flight” response, which can impact our ability to focus, think clearly, and remember things. For students, test anxiety has been especially challenging, affecting how they perform in high-stakes academic settings. Using data from a university based psychological assessment center, this study will …

Faculty List

Journal of Dispute Resolution

No abstract provided.

Mental Health, Racism, And Contemporary Challenges Of Being Black In America, Michael Mcclam

Staff and Researcher Publications

No abstract provided.

Gender Representation Of Composers In Recommended Wind Band Literature And Prominent Performances, Devon Alexis Gray Porter

USF Tampa Graduate Theses and Dissertations

The purpose of this research was to evaluate gender representation in recommended literature in wind band repertoire and prominent performances. I collected data from music lists approved by the National Band Association (NBA) state chapters, programs from the Midwest Clinic and College Band Directors National Association, music vendor catalogues, the Teaching Music Through Performance in Band series, and Florida Bandmasters Association (FBA) Music Performance Assessment (MPA) past performances. I evaluated names of composers to determine the male-female ratios and quantities for recommended works from these sources. I conducted further analysis to determine if trends existed in the relationships between composer …

A Phase 2 Trial Of Short-Term Intravenous N-Acetylcysteine In Biliary Atresia After Kasai Portoenterostomy, Sanjiv Harpavat, Kristin A Borovsky, Michael E Scheurer, Laurel Cavallo, Franca E Erhiawarie, Sanjeev Vasudevan, Adam M Vogel, Dana Cerminara, Elizabeth M Tessier, Kalyani R Patel, Sridevi Devaraj, Benjamin L Shneider

Center for Medical Ethics and Health Policy Staff Publications

Background: For infants with biliary atresia, the only treatment that can establish bile flow and delay need for liver transplant is the Kasai portoenterostomy (KP). Unfortunately, the KP has variable success. In this study, we hypothesized that intravenous N-acetylcysteine (IV NAC) treatment following KP would improve bile flow.

Methods: This was a phase 2 study following the two-stage "minimax" trial design. Participants received IV NAC (150 mg/kg/day) for 7 days after KP, and the primary endpoint was achieving total serum bile acids (TSBA) ≤10 μmol/L within 24 weeks of KP. Secondary endpoints were clinical markers and the occurrence of sentinel …

The Answer To Perimenstrual Distress Is Not Automatically Prescription: Review Of Allopathic And Integrative Approaches To Mental Health Care For Pms & Pmdd Symptoms, Grace Oja

University Honors Theses

Premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) affect a notable percentage of people who menstruate. PMS/PMDD have a wide range of symptoms that negatively impact mental well-being and quality of life. This review is the culmination of a database search to review current allopathic treatments for PMS/PMDD, which often include oral contraceptives and antidepressants, and explore evidence-based methods for integrative and alternative treatments to address some of the limitations of standard allopathic care, including limitations on which symptoms they address and side effects. This paper aims to examine how integrative medicine may expand existing treatments for PMS and PMDD …

The Effects Of Digitized Social Stories On Classroom Routine Completion: A Single-Case Study Of Students With Developmental Disabilities, Huda A. Almumen

Journal of Educational and Psychological Studies

The current study examined the effects of a digitized Social Story, supported by embedded video prompts, on the classroom routine skills of fifth-grade Kuwaiti students with moderate intellectual disability, with or without co-occurring autism spectrum disorder. Using a single-subject, multiple baseline design across six participants, data were collected using an observational card with a checklist of the steps required to perform classroom routines. Participants significantly increased the percentage of correctly completed steps in daily classroom routines, indicating that digitized Social Stories, supported by video prompts, are effective tools for teaching classroom routines to students with developmental disabilities. Implications for future …

The Schools, Saint Mary's College Of California

Academic Catalog

No abstract provided.

Enrollment And Admission For Undergraduates, Saint Mary's College Of California

Academic Catalog

No abstract provided.