Digital Commons Network^™

Ink (2024)

Ink, 2008-

The student-run features magazine covering the fashion, art, music and culture worlds at VCU and in Richmond. Published annually in print and updated regularly online.

The Ideal Model For Countermeasures Of Sexual Violence In The Universities Environment, Airlangga Surya Nagara, Elisabeth Ayu Puspita Adi

Indonesia Law Review

This Cases of sexual violence are rife, including in universities. Data compiled by Komnas Perempuan shows that during 2015-2021, out of 67 reported cases of sexual violence against women, 35 cases occurred in universities. To overcome this, the government has issued the PPKS Permendikbud, and the TPKS Law. In fact, the existence of these regulations has not had a significant impact. It is proven that in 2022, there were 49 reports of sexual violence in universities received by the Ministry of Education and Culture's PPKS Working Group. Even as of May 2023, reports regarding sexual violence in universities are still …

Small Towns Can Do Evs Too!, Tyler Knaak, Connor Wanetka, Makenna Eisenzimmer, Krista Price, Fame Punpoka

Environmental Engagement in the Community (ENVR 319): Student Projects

Environmental Engagement in the Community projects, fall 2023

A poster titled Small Towns Can Do EVs Too! for client City of Wayne, Nebraska.

Paving The Way For Recycled Roadways: Are Plastic Roads The Solution To Our Global Plastic Waster Crisis?, Reese Van Osdel, Katheryn Austin, Libbie Pepple, Soledad Stevanov

Environmental Engagement in the Community (ENVR 319): Student Projects

Environmental Engagement in the Community projects, spring 2024

A poster titled Paving the Way for Recycled Roadways: Are Plastic Roads the Solution to Our Global Plastic Waster Crisis? for client South Sioux City, nebraska.

Women’S Communities And Landscapes In Deadwood, South Dakota In The 1870s–1880s, Jessica Kaye Long

Department of Geography: Dissertations, Theses, and Student Research

This research focuses on the lives, experiences, and contributions of Deadwood women from 1875 to 1889. This range represents a defining period in Deadwood’s history stretching from its inception to the arrival of the railroad. Through this research, I seek to better understand the women living in a relatively isolated city during the gold rush. While previous research has focused on the city’s most famous women and sex workers of the Badlands, the lives of average citizens have been neglected. This research does not want to ignore the impacts of famous women or sex workers. Instead, this thesis attempts to …

Big Fish: A Scenic Designer’S Process, Anna K. Schwartz

Johnny Carson School of Theatre and Film: Theses, Student Research, and Creative Work

This thesis presents a comprehensive exploration of the scenic design process through a case study of the production "Big Fish the Musical" at the Nebraska Repertory Theatre. Drawing on firsthand experience as the scenic designer for the production, the author delves into the multifaceted journey of conceptualizing, designing, and executing the scenic elements of the show. The thesis examines the collaborative nature of the scenic design process, highlighting the interactions between the scenic designer, director, technical team, and other creative collaborators. Key aspects explored include the initial conceptualization phase, the iterative design process, the challenges, and discoveries encountered during rehearsals …

Optimising The Fashion E-Commerce Journey: A Data-Driven Approach To Customer Retention, Hasna Luthfiana Fadhila, Vynska Amalia Permadi, Sylvert Prian Tahalea

Knowledge Engineering and Data Science

A fashion e-commerce company offers a wide range of products from domestic and international brands that are popular with young people. However, there has been an increase in non-organically acquired customers, many of whom do not return to make repeat purchases. This has led to a higher customer churn rate, with a significant proportion of non-organically sourced customers failing to become repeat purchasers. Consequently, a churn analysis and prediction model were developed to address this issue. This paper employs the Recency, Frequency, and Monetary (RFM) framework for churn analysis and prediction. The framework is underpinned by three key dimensions: last …

Towards Low-Resource Rumor Detection: Unified Contrastive Transfer With Propagation Structure, Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng

Research Collection School Of Computing and Information Systems

The truth is significantly hampered by massive rumors that spread along with breaking news or popular topics. Since there is sufficient corpus gathered from the same domain for model training, existing rumor detection algorithms show promising performance on yesterday's news. However, due to a lack of substantial training data and prior expert knowledge, they are poor at spotting rumors concerning unforeseen events, especially those propagated in different languages (i.e., low-resource regimes). In this paper, we propose a simple yet effective framework with unified contrastive transfer learning, to detect rumors by adapting the features learned from well-resourced rumor data to that …

Crisis Support Through Policies For Medical Professionals In 2020 And 2021 During The Covid-19 Pandemic, Malik James Fonville-Simmons

Walden Dissertations and Doctoral Studies

No abstract provided.

Continual Normalization: Rethinking Batch Normalization For Online Continual Learning, Quang Pham, Chenghao Liu, Steven Hoi

Research Collection School Of Computing and Information Systems

Existing continual learning methods use Batch Normalization (BN) to facilitate training and improve generalization across tasks. However, the non-i.i.d and non-stationary nature of continual learning data, especially in the online setting, amplify the discrepancy between training and testing in BN and hinder the performance of older tasks. In this work, we study the cross-task normalization effect of BN in online continual learning where BN normalizes the testing data using moments biased towards the current task, resulting in higher catastrophic forgetting. This limitation motivates us to propose a simple yet effective method that we call Continual Normalization (CN) to facilitate training …

Environmental, Social, And Governance (Esg) And Artificial Intelligence In Finance: State-Of-The-Art And Research Takeaways, Tristan Lim

Research Collection School Of Computing and Information Systems

The rapidly growing research landscape in finance, encompassing environmental, social, and governance (ESG) topics and associated Artificial Intelligence (AI) applications, presents challenges for both new researchers and seasoned practitioners. This study aims to systematically map the research area, identify knowledge gaps, and examine potential research areas for researchers and practitioners. The investigation focuses on three primary research questions: the main research themes concerning ESG and AI in finance, the evolution of research intensity and interest in these areas, and the application and evolution of AI techniques specifically in research studies within the ESG and AI in finance domain. Eight archetypical …

Redriver: Runtime Enforcement For Autonomous Vehicles, Yang Sun, Christopher M. Poskitt, Xiaodong Zhang, Jun Sun

Research Collection School Of Computing and Information Systems

Autonomous driving systems (ADSs) integrate sensing, perception, drive control, and several other critical tasks in autonomous vehicles, motivating research into techniques for assessing their safety. While there are several approaches for testing and analysing them in high-fidelity simulators, ADSs may still encounter additional critical scenarios beyond those covered once they are deployed on real roads. An additional level of confidence can be established by monitoring and enforcing critical properties when the ADS is running. Existing work, however, is only able to monitor simple safety properties (e.g., avoidance of collisions) and is limited to blunt enforcement mechanisms such as hitting the …

Flgan: Gan-Based Unbiased Federated Learning Under Non-Iid Settings, Zhuoran Ma, Yang Liu, Yinbin Miao, Guowen Xu, Ximeng Liu, Jianfeng Ma, Robert H. Deng

Research Collection School Of Computing and Information Systems

Federated Learning (FL) suffers from low convergence and significant accuracy loss due to local biases caused by non-Independent and Identically Distributed (non-IID) data. To enhance the non-IID FL performance, a straightforward idea is to leverage the Generative Adversarial Network (GAN) to mitigate local biases using synthesized samples. Unfortunately, existing GAN-based solutions have inherent limitations, which do not support non-IID data and even compromise user privacy. To tackle the above issues, we propose a GAN-based unbiased FL scheme, called FlGan, to mitigate local biases using synthesized samples generated by GAN while preserving user-level privacy in the FL setting. Specifically, FlGan first …

Unleashing The Power Of Clippy In Real-World Rust Projects, Chunmiao Li, Yijun Yu, Haitao Wu, Luca Carlig, Shijie Nie, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

The error messages generated by the Rust compiler (rustc) are useful for developers to identify and diagnose suspicious code segments. Complementing the compiler, linters can also play an important role in promoting the adherence to certain coding style conventions and best practices. Prominent linters utilized in the Rust ecosystem include Clippy [1] and Rustfmt [2]. Among them, the Rust community particularly emphasizes on the importance of heeding the warnings provided by Clippy to mitigate common errors and promote the adoption of idiomatic conventions. Clippy provides a set of more than 600 lints in addition to the built-in rustc lints. These …

My Github Sponsors Profile Is Live!": Investigating The Impact Of Twitter/X Mentions On Github Sponsors, Youmei Fan, Tao Xiao, Hideaki Hata, Christoph Treude, Kenichi Matsumoto

Research Collection School Of Computing and Information Systems

GitHub Sponsors was launched in 2019, enabling donations to opensource software developers to provide financial support, as per GitHub’s slogan: “Invest in the projects you depend on”. However, a 2022 study on GitHub Sponsors found that only two-fifths of developers who were seeking sponsorship received a donation. The study found that, other than internal actions (such as offering perks to sponsors), developers had advertised their GitHub Sponsors profiles on social media, such as Twitter (also known as X). Therefore, in this work, we investigate the impact of tweets that contain links to GitHub Sponsors profiles on sponsorship, as well as …

Digitalisation Of Higher Education In Zimbabwe: A Challenging Necessity And Emerging Solutions, Charles Muchemwa Nherera, Fungai Nora Mukora

Journal of Comparative & International Higher Education

Special Issue

The Ethics Of Research And Teaching In An Age Of Big Data, David Lundie

Journal of Comparative & International Higher Education

Special Issue

Digitalisation, Neoliberalism And Globalisation Of Higher Education In The Australian Context, Helen Mclean, Hilary Wheaton

Journal of Comparative & International Higher Education

Special Issue

Concretely Mapped Symbolic Memory Locations For Memory Error Detection, Haoxin Tu, Lingxiao Jiang, Jiaqi Hong, Xuhua Ding, He Jiang

Research Collection School Of Computing and Information Systems

Memory allocation is a fundamental operation for managing memory objects in many programming languages. Misusing allocated memory objects (e.g., buffer overflow and use-after-free) can lead to catastrophic consequences. Symbolic execution-based approaches are often used to detect such memory errors, leveraging their capabilities in automatic path exploration and test case generation. However, existing symbolic execution engines face significant limitations in modeling dynamic memory layouts. These engines either represent memory object locations as concrete addresses, limiting analyses to specific address layouts and missing errors that occur at special addresses, or represent locations as simple symbolic variables without sufficient constraints, resulting in memory …

Code Search Is All You Need? Improving Code Suggestions With Code Search, Junkai Chen, Xing Hu, Zhenhao Li, Cuiyun Gao, Xin Xia, David Lo

Research Collection School Of Computing and Information Systems

Modern integrated development environments (IDEs) provide various automated code suggestion techniques (e.g., code completion and code generation) to help developers improve their efficiency. Such techniques may retrieve similar code snippets from the code base or leverage deep learning models to provide code suggestions. However, how to effectively enhance the code suggestions using code retrieval has not been systematically investigated. In this paper, we study and explore a retrieval-augmented framework for code suggestions. Specifically, our framework leverages different retrieval approaches and search strategies to search similar code snippets. Then the retrieved code is used to further enhance the performance of language …

Technical Specifications - Silver Bow Creek Conservation Area - 60% Submittal April 2024, Atlantic Richfield Company

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final Blacktail Creek Remediation And Contaminated Groundwater Hydraulic Control Site Pumping Test Data Summary Report (Dsr), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

An Examination Of How The Media Portrayed Professional Female Athletes During The 2023 Women's World Cup In The Match-Up Between Spain And The United States, Brianna R. Breazier

College of Journalism and Mass Communications: Professional Projects

This project is an examination of how the media portrayed professional female athletes during the 2023 Woen's World Cup in the match-up between Spain and the United States. This project consists of a literature review of the history of both countries, an overview of feminist theory, and past studies that show current patterns of biases or stereotypical behavior in today’s mainstream media. This project also consists of a cross-examination and comparison between Spain and the United States, specifically examining the timeline of events between the two. The purpose of this study is to compare the media trends of professional female …

Motivations Behind The Rise And Success Of Homeopathy In India, Kavya Patchipulusu

Senior Theses

Homeopathy is a form of medicine that is incredibly controversial and is often labeled as a fraudulent, placebo effect drug, that can have potentially dangerous side effects. This is the picture that is painted of homeopathy in the United States and many other countries in which these medicines are banned in distribution or highly unregulated. In contrast, India has popularized and well-integrated homeopathy into their medical systems with government backing and consistent funding towards accredited homeopathic institutions and funding hospital systems. This paper will explore the circumstances and health care dynamics of India that allowed homeopathy to gain the level …

Investigating The Expression Of Growth-Regulating Factor 2 (Grf2) In Arabidopsis Thaliana, Sophia S. Henry

Senior Theses

Arabidopsis thaliana is a model organism that is used in laboratories across the world for the study of cellular and molecular processes in plants. GROWTH-REGULATING FACTOR 2 (GRF2) is a transcription factor that promotes leaf growth in Arabidopsis. It is a member of a family of transcription factors that is conserved across all land plants. Previous studies have characterized GRF2 expression in leaves, but GRF2 expression in floral organs has not been studied as extensively. GRF2 acts redundantly with other members of the GRF transcription factor family during floral development. grf1/2/3/5 quadruple mutants show malformed gynoecia, severe fusions between floral …

Elevating Academic Administration: A Comprehensive Faculty Dashboard For Tracking Student Evaluations And Research, Musa M. Azeem

Senior Theses

The USC Faculty Dashboard is a web application designed to revolutionize how department heads, professors, and instructors monitor progress and make decisions, providing a centralized hub for efficient data storage and analysis. Currently, there’s a gap in tools tailored for department heads to concisely manage the performance of their department, which our platform aims to fill. The USC Faculty Dashboard offers easy access to upload and view student evaluation and research information, empowering department heads to evaluate the performance of faculty members and seamlessly track their research grants, publications, and expenditures. Furthermore, professors and instructors gain personalized performance analysis tools, …

Large Language Model For Vulnerability Detection: Emerging Results And Future Directions, Xin Zhou, Ting Zhang, David Lo

Research Collection School Of Computing and Information Systems

Previous learning-based vulnerability detection methods relied on either medium-sized pre-trained models or smaller neural networks from scratch. Recent advancements in Large Pre-Trained Language Models (LLMs) have showcased remarkable few-shot learning capabilities in various tasks. However, the effectiveness of LLMs in detecting software vulnerabilities is largely unexplored. This paper aims to bridge this gap by exploring how LLMs perform with various prompts, particularly focusing on two state-of-the-art LLMs: GPT-3.5 and GPT-4. Our experimental results showed that GPT-3.5 achieves competitive performance with the prior state-of-the-art vulnerability detection approach and GPT-4 consistently outperformed the state-of-the-art.

Ppt4j: Patch Presence Test For Java Binaries, Zhiyuan Pan, Xing Hu, Xin Xia, Xian Zhan, David Lo, Xiaohu Yang

Research Collection School Of Computing and Information Systems

The number of vulnerabilities reported in open source software has increased substantially in recent years. Security patches provide the necessary measures to protect software from attacks and vulnerabilities. In practice, it is difficult to identify whether patches have been integrated into software, especially if we only have binary files. Therefore, the ability to test whether a patch is applied to the target binary, a.k.a. patch presence test, is crucial for practitioners. However, it is challenging to obtain accurate semantic information from patches, which could lead to incorrect results.In this paper, we propose a new patch presence test framework named Ppt4J …

Queer And Trans Migrations: The Impacts Of Presidential Discourse, Isabella Richards

Women's and Gender Studies Theses

Political discourse, defined as “the totality of all speech acts used in political discussions, as well as rules of public policy, sanctified by tradition and proven by experience” (Valerevna and Rakhmatovna 88) has a profound impact on shaping societal perspectives, policies, and cultural norms. In the United States, historical presidential rhetoric has reinforced ideals like the nuclear family, inadvertently promoting heteronormativity and white supremacy. Consequently, this has led to marginalized groups, such as queer and trans migrants, being unjustly portrayed as outsiders or threats. This research project demonstrates how presidential discourse has framed queer and trans migrants as outsiders or …

2023 Nursing Annual Report, Children's Health System Of Texas

2023

No abstract provided.