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Articles 256231 - 256260 of 5207222
Full-Text Articles in Entire DC Network
Framework For Identity Privacy Through Gender Based Skeletonization, Harrison Hwang
Framework For Identity Privacy Through Gender Based Skeletonization, Harrison Hwang
Master's Projects
The protection of one’s privacy and sensitive information is becoming increasingly difficult in the modern age full of surveillance and data collection. Through the use of image based object detection machine learning models trained for human and facial recognition, people can be identified and tracked to a terrifyingly accurate degree. On the other hand, the information present in surveillance media can play a key role in security and law enforcement. This presents a problem of how to preserve key information without compromising the privacy of any individuals present in the video. In this research project, Computer Vision techniques and a …
Large Language Models For Bacterial Genomic Analysis, Manvendra Chavan
Large Language Models For Bacterial Genomic Analysis, Manvendra Chavan
Master's Projects
Identification of bacterial gene sequences with agricultural applications has the potential to transform agricultural biotechnology. These genes can be used in environmentally friendly pest control strategies. One such use case is identifying genes with potential insecticidal properties. With an increasing number of genomic information and decreasing numbers of available annotated sequences, finding new insecticidal genes has become more challenging.The traditional methods relying on sequence alignment and annotated databases are not effective in detecting functionally relevant genes lacking close homology to known cases. This project investigates the data-driven classification of genes by sequence modeling. This research is focused on learning DNA …
Genegate: Genetic Gating In A Mixture-Of-Experts For Real-Time Multi-Objective Traffic Signal Control, Rashmi Vishwanath Bhat
Genegate: Genetic Gating In A Mixture-Of-Experts For Real-Time Multi-Objective Traffic Signal Control, Rashmi Vishwanath Bhat
Master's Projects
Urban traffic signal control often needs to juggle between competing goals. It needs to minimize delays, reduce emissions, prevent crashes, and prioritize emergency vehicles all while the demand is constantly fluctuating. Traditional fixed-time or statically blended policies cannot reallocate priorities quickly when conditions change. We introduce GeneGate, a mixture-of-experts framework that uses a lightweight genetic gate to fuse four specialist controllers (throughput, emissions, safety, emergency) and adjusts their weights in real time. A short offline genetic search produces a robust initial blend, and an online micro-evolution step refines it every few cycles based on live traffic feedback. GeneGate’s adaptive gating …
Nontraditional Students Enrolling In Online Education: Assessing Outcomes And Barriers To Success, Kua Vang
Nontraditional Students Enrolling In Online Education: Assessing Outcomes And Barriers To Success, Kua Vang
Master's Projects
Online education has significantly reshaped how colleges and universities define and evaluate academic achievement. In March 2020 during the height of the Covid-19 pandemic, the U.S. government enforced social distancing regulations that affected operational continuity for higher education institutions. The need to transition from traditional classroom instruction to online was unavoidable. Institutions were not prepared, however, and their shortcomings in providing high-quality online learning for students were exposed. The inadequacy can be due to higher education institutions decade-long mindset of seeing online education as a less credible alternative. As a result, institutions are more eager than ever before to invest …
Collaborative Governance In Practice: Evaluating Intergovernmental Relations Through The Santa Clara County Healthy Cities Initiative, Astrid J. Robles
Collaborative Governance In Practice: Evaluating Intergovernmental Relations Through The Santa Clara County Healthy Cities Initiative, Astrid J. Robles
Master's Projects
In the United States, intergovernmental relations (IGR) is rooted in the principles of American federalism, which focuses on the constitutional power dynamics between national, state, and local governments. While federalism outlines the structural framework, IGR specifically focuses on how federal, state, and local governments interact administratively, financially, and politically within the federal system. Beginning in the 1960’s, governments across the U.S. began to rely on non-governmental and private sector organizations for program implementation (Boyd & Fauntroy, 2000). This shift gave rise to the concept of collaborative governance, which expanded the scope of IGR by incorporating traditionally excluded groups from the …
Equity In Public Budgeting: Community Engagement In Morgan Hill, Ariana Perez
Equity In Public Budgeting: Community Engagement In Morgan Hill, Ariana Perez
Master's Projects
Through this research, I will examine what citizen participation strategies have been implemented and their role and effectiveness in addressing wealth inequities. My research will explore these topics and examine what programs and policies the City of Morgan Hill can implement to increase residents' sense of belonging and ultimately push for greater social equity. My primary research question is, what are the programs and policies that the City of Morgan Hill can implement to engage immigrant communities, specifically Spanish-speaking residents, and low-income residents in shaping decisions around public investments and funding? This project will serve as a needs assessment to …
Abstractions Of The Game “Set”, Martin Grant
Abstractions Of The Game “Set”, Martin Grant
Master's Projects
Each card in the game of SET can be represented as a point in Z43, where Z3 is the f ield of 3 elements; an in-game position without any SETs can be represented as a cap set. We find the largest cap sets in Zn 3 for n ≤ 4 and prove their uniqueness. Then, we provide more insight into Ellenberg and Gijswijt’s proof of upper bound for the maximum size of cap set in Fnq, where Fq is the field of q elements, which they find to be o(cn …
Glutamatergic Lateral Habenula Neurons Modulate Consolidation Of Associative Memories, Snigdha Srivastava, I-Ching Wang, Mikhail Y Kochukov, Jessica L Swanson, Mauro Costa-Mattioli, Benjamin R Arenkiel
Glutamatergic Lateral Habenula Neurons Modulate Consolidation Of Associative Memories, Snigdha Srivastava, I-Ching Wang, Mikhail Y Kochukov, Jessica L Swanson, Mauro Costa-Mattioli, Benjamin R Arenkiel
Duncan NRI Faculty and Staff Publications
INTRODUCTION: Despite the rise in psychiatric disorders worldwide, the underlying brain circuits responsible for these devastating conditions remain elusive. The lateral habenula (LHb) has emerged as a key brain structure in depression studies due to its hyperactive state in both patients and animal models. While this aligns with known roles in driving aversive states and regulating serotonin release, it is still unclear how acute and transient activity changes in the LHb can influence higher order cognitive processes such as learning, memory, and behavioral adaptation. Given the importance of these processes to psychiatric conditions, understanding how LHb activity impacts cognitive function …
Coral Vision – Crustose Coralline Algae Detection With Computer Vision, Ryan Tseng
Coral Vision – Crustose Coralline Algae Detection With Computer Vision, Ryan Tseng
Master's Projects
Crustose coralline algae (CCA) are a group of red algae that are vital contributors to the health of coral reef ecosystems. Monitoring CCA abundance can serve as an indicator for coral reef health and improve reef conservation efforts. Autonomous Reef Monitoring Structures (ARMS) are artificial structures that can be deployed into coral reef ecosystems and retrieved to gather ecological data without harming reef structures. Traditional methods of calculating CCA abundance require manual analysis and are labor-intensive. Recent developments in computer vision and deep learning technology have provided an avenue to fully automate this task. This research aims to train a …
Cca Analysis Using Computer Vision Techniques, Rahul Thakur
Cca Analysis Using Computer Vision Techniques, Rahul Thakur
Master's Projects
Coral reefs are an essential part of the marine ecosystem. They perform a wide variety of tasks, some directly and others indirectly. They can produce oxygen, absorb carbon dioxide, along with supporting ocean habitat. Crustose Coralline Algae (“CCA”) plays an important role in helping provide structural support to Coral Reef ecosystems. However, global warming is causing ocean water to become more acidic resulting in coral bleaching. This is leading to changes in coral environments and causing coral deaths at alarming rates. Object detection using computer vision techniques, specifically deep learning, can help to monitor coral reef health and identify CCA …
Augmenting Missing Sensor Data For Robust Human Activity Recognition, Suryakangeyan Kandasamy Gowdaman
Augmenting Missing Sensor Data For Robust Human Activity Recognition, Suryakangeyan Kandasamy Gowdaman
Master's Projects
Applications of ubiquitous computing, including health monitoring, sports analytics, and ambient-assisted living, rely on Human Activity Recognition (HAR) using wearable sensors. However, model robustness is challenged by missing sensor values, class imbalance, inter-subject variability, and temporal noise. This work proposes a complete HAR pipeline that addresses these challenges through sampling, time-series augmentation, dynamic feature handling, and GAN-PCA-based imputation. Built on the DeepSense architecture, the model integrates convolutional feature extraction with bi-GRUs for temporal modeling. The system is evaluated using 5-fold cross-validation, subject-aware holdout, and LOSEO strategies on the Opportunity dataset. Results demonstrate consistent accuracy across folds and strong generalization to …
Retrieval-Augmented Generation (Rag) Chatbots: A Comparative Study Of Claude, Gpt-4o, Deepseek, And Llama, Kalindi Vijesh Parekh
Retrieval-Augmented Generation (Rag) Chatbots: A Comparative Study Of Claude, Gpt-4o, Deepseek, And Llama, Kalindi Vijesh Parekh
Master's Projects
The use of Retrieval-augmented generation (RAG) in chatbot platforms has transformed academic spaces by significantly improving information accessibility. RAG has become a viable approach to upgrading Large Language Models (LLMs) with external knowledge access in real time. With the growing availability of advanced LLMs such as GPT, DeepSeek, Claude, Gemini, and Llama, there is a growing need to compare RAG systems based on different LLMs. This study compares the responses of four different RAG chatbots using popular LLMs against a uniquely designed evaluation dataset. Specifically, the study compares the responses and performance of closed-source (GPT-4o and Claude) and open-source models …
Social Engineering Scenario Generation For Awareness-Based Attack Resilience, Jade Webb
Social Engineering Scenario Generation For Awareness-Based Attack Resilience, Jade Webb
Master's Projects
Social engineering is found in a strong majority of cyberattacks today, as it is a powerful manipulation tactic that does not require the technical skills of hacking. Calculated social engineers utilize simple communication to deceive and exploit their victims, all by capitalizing on the vulnerabilities of human nature: trust and fear. When successful, this inconspicuous technique can lead to millions of dollars in losses. Social engineering is not a one-dimensional technique; criminals often leverage a combination of strategies to craft a robust yet subtle attack. In addition, offenders are continually evolving their methods in efforts to surpass preventive measures. A …
Homomorphically Encrypted Faceted Values, Tanmay Singal
Homomorphically Encrypted Faceted Values, Tanmay Singal
Master's Projects
Faceted values prevent the implicit flow of sensitive information by controlling the visibility of program data. They achieve this by maintaining two facets for each variable: a public facet, which is observable, and a private facet, which remains hidden. Although this method secures the flow of sensitive data, it can be leaked if the server storing the faceted values is compromised. While faceted values may be encrypted on the server, doing so would necessitate that the private facets be briefly decrypted during execution to allow arithmetic operations to be performed on them, creating an attack vector for information to be …
Ai Powered Legal Decision Support System, Alisha Rath
Ai Powered Legal Decision Support System, Alisha Rath
Master's Projects
The large volume of legal cases presented by judicial professionals has made it
challenging to study and predict results. With advances in research methods and
technology, predicting law cases in a more accurate manner has become an important
trend. Prediction tools based on AI may help manage a large number of legislative
texts and documents that cannot possibly be fully read, reduce the number of cases
to be seen, and give accurate outcomes of how cases may turn out. Now, when
we look into the current AI legal prediction tools in this domain, they mostly lack
efficiency and interpretability, the …
Landslide Prediction Using Time-Series Decomposition, Reinforcement Learning-Based Feature Selection And Ml Models, Mohith Sai Venkat Ankem
Landslide Prediction Using Time-Series Decomposition, Reinforcement Learning-Based Feature Selection And Ml Models, Mohith Sai Venkat Ankem
Master's Projects
Landslides pose significant risks to human life, the community, and the environment, yet their prediction remains a complex and unexplored challenge. Existing prediction models often rely on surface measurements and satellite images, neglecting the critical role, in providing deeper insights into landslide analysis. The literature review highlights a lack of research in time series decomposition techniques, despite their potential to improve prediction accuracy. Similarly, feature selection methods that enhance model robustness and precision have not been adequately addressed. This study presents a novel approach to predicting landslide displacement by combining feature selection through reinforcement learning techniques with advanced time-series machine …
Ai-Enabled Anticipatory Handover Predictions In 5g Networks, Ojas Ankush Naik
Ai-Enabled Anticipatory Handover Predictions In 5g Networks, Ojas Ankush Naik
Master's Projects
As users move across network cells in 5G, it is critical to maintain seamless connectivity through efficient and fast handovers. However, as 5G networks have a very dense deployment of cells and higher carrier frequencies, handovers are often more frequent and challenging, leading to failures or the ping-pong effect. In this research, we are going to use Artificial Intelligence (AI) techniques to enable predicting handover(HO) events proactively as opposed to reactively, aiming to reduce HO failures and unnecessary handovers. We develop Long-Short-Term Memory (LSTM) and Bidirectional LSTM (Bi-LSTM) models to forecast future signal measurements, predict handover trigger points, and compare …
Review: Alle Thyng Hath Tyme: Time And Medieval Life, Kaitlyn Garrett
Review: Alle Thyng Hath Tyme: Time And Medieval Life, Kaitlyn Garrett
Quidditas
In a topical addition to the Medieval Lives series, Adler and Strohm's Alie Thyng Hath Tyme: Time and Medieval Life provides an overview of the average medieval person's keeping of, value of, and relationship to time. Gillian Adler, Assistant Professor of Literature and Esther Raushenbush Chair in Humanities at Sarah Lawrence College, and Paul Strohm, professor emeritus at Columbia University, combine literary backgrounds to delve into both technical forms of timekeeping and abstract interpretations of time, including "timescapes" and philosophies of passing time and human aging. Alle Thyng Hath Tyme educates readers on technical forms of timekeeping as well as …
Responding To A Non-Responsive Response, Brant A. Gardner
Responding To A Non-Responsive Response, Brant A. Gardner
Interpreter: A Journal of Latter-day Saint Faith and Scholarship
James Lucas had the opportunity to respond to the review of the book that he and Jonathan Neville wrote, By Means of the Urim & Thummim. He elected not to really respond to the issues I brought up but rather summarized his essential points. That doesn’t leave much to respond to. However, there is a continuing misunderstanding of how historians work that I feel must be underscored.
Joseph Smith Jr. As A Translator: The Book Of Abraham As A Case Study, Stephen O. Smoot
Joseph Smith Jr. As A Translator: The Book Of Abraham As A Case Study, Stephen O. Smoot
Interpreter: A Journal of Latter-day Saint Faith and Scholarship
This paper examines Joseph Smith’s approach to translation, using the Book of Abraham as a case study to explore the interplay between divine revelation and human participation in scriptural production. While the Book of Abraham incorporates both ancient and modern elements, its unique synthesis resists simple categorization as either an unblemished Abrahamic autograph or a purely nineteenth-century pseudepigraphon. Drawing on historical evidence and textual analysis, this paper aims to illuminate Joseph Smith’s role as both translator and revelator, offering insights into how Latter-day Saints might understand the complex process of producing sacred texts.
Full Issue
Interpreter: A Journal of Latter-day Saint Faith and Scholarship
No abstract provided.
From Revolution To Restraint: The Domestic Origins Of France's Foreign Policy Of Non-Intervention In 1830, Annabelle Crawford
From Revolution To Restraint: The Domestic Origins Of France's Foreign Policy Of Non-Intervention In 1830, Annabelle Crawford
Sigma: Journal of Political and International Studies
Many prominent theories of international conflict would predict that in the aftermath of the 1830 revolutions, France should have gone to war with the conservative powers of Europe on behalf of Belgium. However, despite military and political opportunities for war, incentives to spread or counter France’s new liberal ideology, and misunderstandings between France and the other European powers, French leaders and leaders of the conservative great powers alike actively pursued a European peace. This presents a theoretical puzzle: why wasn’t there a conflict between the French revolutionary state and other European states in the aftermath of the July Revolution?
Front Matter
Sigma: Journal of Political and International Studies
No abstract provided.
A Letter From The Editor, Hannah Smith
A Letter From The Editor, Hannah Smith
Sigma: Journal of Political and International Studies
This edition of Sigma explores several critical and complex issues in today’s political discourse, including the global effects of U.S. intervention, the link between public support for wars and militant desertion, the influence of public goods distribution on terrorism, and the domestic divisions and radicalization that sparked the French Revolution. Despite their challenging nature, each article offers valuable insights, refining our empirical understanding of these global phenomena and deepening our grasp of the truth.
Holy Disregard: Christian Nationalists More Likely To Accept Democratic Norm Violations From Fellow Citizens, Hannah Criser
Holy Disregard: Christian Nationalists More Likely To Accept Democratic Norm Violations From Fellow Citizens, Hannah Criser
Sigma: Journal of Political and International Studies
How do Christian nationalists react to democratic norm violations from fellow citizens? Previous research on Christian nationalism shows that believers of the ideology prefer right-leaning, conservative politics with a particular affinity for Donald J. Trump, who has shown to support and participate in democratic violations, such as denying election results and advocating for media suppression. However, little is known regarding how Christian nationalists would react to the democratic norm violations committed by fellow peers. In a nationally representative online survey fielded in October 2024, I discover that Christian nationalists are more likely to identify with and support violating democratic norms, …
Full Issue
Sigma: Journal of Political and International Studies
No abstract provided.
End Matter
Sigma: Journal of Political and International Studies
No abstract provided.
Pietà, Jack Stewart
Pietà, Jack Stewart
Inscape
Jack Stewart was educated at the University of Alabama and Emory University and was a Brittain Fellow at the Georgia Institute of Technology. His first book, No Reason, was published by the Poeima Poetry Series in 2020, and his work has appeared in numerous journals and anthologies, including Poetry, The American Literary Review, Nimrod, Image, and others. He currently runs the Talented Writers Program at Pine Crest School in Fort Lauderdale, Florida.
Dear Adam, Cristie Cowles Charles
Baptisms For The Dead, Stacy Delange