Digital Commons Network^™

From Unconditional To Conditional: How The Push For Semiconductor Self-Sufficiency In Both The Us And China, Compounded By Trump's Transactionalism, Is Eroding Taiwan's Silicon Shield, Jamie Phillips

Dartmouth College Master’s Theses

The US and China desire self-sufficiency in the manufacture of semiconductors to reduce their reliance on Taiwan Semiconductor Manufacturing Company (TSMC). This reliance on TMSC is known as the ‘Silicon Shield’ as it gives Taiwan power in the US-China rivalry, due to their dependence on the semiconductors produced on the island. This thesis examines whether the Shield can remain a stabilizer in the relationship and how Donald Trump’s transactional approach to foreign policy has accelerated its erosion, turning US security commitments from unconditional to conditional.

Three main conditions give the Shield strength:  Taiwan’s monopoly over advanced semiconductor manufacturing, the security …

Ai Interpretability In Healthcare Communication, Ananya Jeyappragash

Dartmouth College Master’s Theses

Artificial intelligence has increasingly been adopted in healthcare, largely for specialized tasks and under significant human oversight. The use of large black-box systems raises important concerns about transparency in high-stakes environments such as clinical decision-making. Clinical communication is fundamentally human-centered, and failures in judgment can have serious consequences for patient care. Overestimating the reasoning abilities of large language models may lead to undue trust in fabricated or “hallucinated” outputs, while rejecting AI-assisted tools altogether may preserve inefficient workflows and contribute to missed or delayed diagnoses. These concerns reflect a broader tradeoff between accuracy and interpretability: although more complex models may …

Life Cycle Costing Of Modular Timber Residential Construction, Logan Micah Hammel

Construction Management

This study examines the economic feasibility of modular residential construction using life-cycle costing (LCC) and life-cycle assessment (LCA) approaches to assess the sustainability and maintenance costs of modular construction. Using the structures and documents from the Gateway Decathlon project as the subject, we applied LCC formulas and programs to assess their economic performance. These calculations were conducted manually in Excel and modeled using the OpenLCA platform to compare traditional and software-based approaches. The study aims to identify cost drivers across building scopes, such as building materials and electrical and mechanical systems, and to evaluate how modular construction performs over its …

Dirges Of Hope, Manasseh Azure Awuni

Department of English: Dissertations, Theses, and Student Research

Among the varied themes that African fiction explores, politics and governance remain the most dominant across generations. Writing under oppressive and exploitative colonial administrations, the first generation of African storytellers used fiction to highlight the injustice of colonial rule. With fidelity to the African proverb that says the tales of hunting will always glorify the hunter until the lion learns to tell its own stories, African writers also used fiction to push back against one-sided, toxic narratives about the continent. After independence, when rulers of the new republics continued the colonial legacies of oppression, inflicting untold hardships on their citizens, …

Scraping Bad: The Case For A Unified Scraping Framework, Eunchong Moses Park

Washington and Lee Law Review Online

This Note explores the growing legal and regulatory landscapes of web scraping in the United States and argues that web scraping should be regulated through a unified federal framework tailored to its unique technological and economic realities. Web scraping allows organizations to collect massive amounts of data essential to their operational needs—often without the consent of data holders. Thus, web scraping has become a powerful engine of innovation used across virtually every sector of the economy but with a serious risk to privacy and property interests. Yet the current U.S. legal framework lacks a coherent regulating structure. Courts and litigants …

Sustainability In Concrete: Decision-Makers, Dismissal Points, And A Framework For Implementation, Max Dennison

Construction Management

Concrete is essential to modern infrastructure, but is also one of the largest sources of embodied carbon, with cement production alone responsible for a significant share of global CO₂ emissions. Although low-carbon and otherwise “sustainable” concrete technologies are growing, their use in everyday projects remains limited. This research investigates why sustainable concrete options are most often dismissed during the project lifecycle, who drives these decisions, and what conditions are needed to enable broader adoption. Using a combination of literature review and semi-structured interviews with professionals in contracting, life-cycle assessment, sustainability consulting, and materials production, the study maps decision points from …

Semat: Semantic Enhanced Natural Image Interactive Matting, Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Qianru Sun, Yang Tang, Bo Li, Pan Zhou

Research Collection School Of Computing and Information Systems

Recent approaches attempt to adapt powerful interactive segmentation models, such as SAM, to interactive matting and fine-tune the models based on synthetic matting datasets. However, models trained on synthetic data fail to generalize to complex and occlusion scenes. We address this challenge by proposing a new matting dataset based on the COCO dataset, namely COCO-Matting. It selects real-world complex images from COCO and converts semantic segmentation masks to matting labels. The built COCO-Matting comprises an extensive collection of 36,980 human instance-level alpha mattes in complex natural scenarios. Furthermore, existing SAM-based matting methods extract intermediate features and masks from a frozen …

Bridging Bug Localization And Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models, Jianming Chang, Xin Zhou, Lulu Wang, David Lo, Bixin Li

Research Collection School Of Computing and Information Systems

Automated issue fixing is a critical task in software debugging and has recently garnered significant attention from academia and industry. However, existing fixing techniques predominantly focus on the repair phase, often overlooking the importance of improving the preceding bug localization phase. As a foundational step in issue fixing, bug localization plays a pivotal role in determining the overall effectiveness of the entire process. To enhance the precision of issue fixing by accurately identifying bug locations in large-scale projects, this paper presents BugCerberus, the first hierarchical bug localization framework powered by three customized large language models. First, BugCerberus analyzes intermediate representations …

Evolution Of Antibiotic Responses During Chronic P. Aeruginosa Infections In The Human Lung, David Frank Ritz

Dartmouth College Ph.D Dissertations

Typical antibiotic susceptibility testing (AST) of microbial samples is performed in homogeneous cultures in batch environments, which does not account for the highly heterogeneous and dynamic nature of antibiotic responses. The most common mutation found in P. aeruginosa lineages evolved during chronic cystic fibrosis infections in the human lung, a loss of function of repressor MexZ, increases basal levels of multidrug efflux MexXY, but does not increase resistance by traditional minimal inhibitory concentration (MIC) assays. Here, we use single cell microfluidics to show that P. aeruginosa’s response to aminoglycosides is highly heterogeneous, with only a subpopulation of cells surviving exposure. …

Behavioral-Centric Team Evaluation Via Consistent Rewards, Clement Kudakwashe Nyanhongo

Dartmouth College Ph.D Dissertations

Across human domains ranging from sports to business and organizational settings, complex tasks are often solved by teams rather than individuals, leveraging benefits such as interaction, mutual support, complementary skills, cohesion, and task allocation. Evaluating team effectiveness, however, is inherently challenging due to the subjectivity of many existing techniques and the limitations of outcome-driven metrics that primarily focus on performance scores while overlooking the team processes that generated the scores. To address these challenges, this dissertation proposes a behavioral-centric, end-to-end framework for team evaluation grounded in reward functions that model sequential team behavior. Reward functions offer compact and interpretable representations …

Advancement And Characterization Of Next-Generation Solid-State Photon-Counting Image Sensors For Astrophysics Applications, Nicholas R. Shade

Dartmouth College Ph.D Dissertations

Astronomers’ pursuit of detecting light from increasingly faint and distant objects in the expanse of space necessitates continuous improvement in signal-to-noise ratio of camera technology. Recent advancements in solid-state detector technologies have enabled the determination of photon-number, including single photon events, enabling observations at the fundamental limits of physics. These developments are instrumental not only for standard two-dimensional imaging but also for advanced spectroscopy, which increasingly drives future astrophysical applications. This thesis presents an evaluation of three next-generation silicon-based detectors capable of photon-counting with deep-sub-electron input-referred read noise: the electron-multiplying charge-coupled device (EMCCD), the single-photon avalanche diode (SPAD), and the …

Hybrid Portfolio Optimization With Pca, Clustering, And The Barzilai-Borwein Method, Shin Chiew Kai, Yeing Pan Wei, Seng Sim Hong, Hou Chin Jia, Jia Lee Yap

Malaysian Journal of Computing (MJoC)

Portfolio optimization aims to balance risk and return by identifying an effective mix of assets. In this study, we integrate principal component analysis (PCA) and hierarchical clustering for stock selection with the Barzilai–Borwein (BB) gradient method for portfolio optimization. Forty-eight U.S. stocks from the Kaggle fundamental stock dataset were initially collected, and 42 stocks were retained after preprocessing. Financial ratios from 2006 and adjusted closing prices from 2016–2017 were analysed, with one representative stock from each cluster selected using the Sharpe ratio. The BB method was then applied to determine optimal weights, ensuring full capital allocation without short selling. Among …

Influence Of Coriolis Force On Controlled Double-Diffusive Marangoni Convection In Nanofluid Layers, Izzati Khalidah Khalid, Ahmad Syukri Mohd Shukor, Mohd Rijal Ilias, Nurul Hafizah Zainal Abidin, Bekzodjon Fayziev

Malaysian Journal of Computing (MJoC)

Controlled double-diffusive Marangoni convection in a rotating nanofluid layer, heated from below, is studied. Various types of lower-upper boundary conditions, including free-free and rigid-free, are considered. The nanofluids model incorporates the mechanisms of Brownian motion and thermophoresis in nanofluids. The stability of the nanofluids model is analysed using a linear stability analysis based on the normal mode technique. The eigenvalue problem is numerically solved using the Galerkin technique and computational simulations are carried out using Maple software. The influences of several parameters are examined and presented graphically, including modified diffusivity ratio, nanoparticles concentration, solutal Rayleigh number and Soret effects. These …

Uncovering Ethical Values In Information Systems Development Methodologies, Zahidah Zulkifli, Noor Hayani Abd Rahim, Tahmid Alam, Fakhrul Hazman Yusoff, Mohammad Masudur Rahman

Malaysian Journal of Computing (MJoC)

Information system development involves a lot of tools, infrastructures, and humans. The many phases in system development need humans to interact and work with each other to obtain the goal: to complete information system development. These interactions of humans require the right ethics to ensure that the information system development can be successful. For example, ethical leadership is a vital component in determining the success of any project related to information system development in organizations. The aim of this study is to identify the ethical values which are important in information system development methodology phases. This systematic literature review (SLR) …

Textual Adversarial Example Generation Using Bigram Unigram-Semantic Preservation Optimization Algorithm, Noor Adam Noor Azmi, Haslizatul Fairuz Mohamed Hanum

Malaysian Journal of Computing (MJoC)

The vulnerability of Natural Language Processing (NLP) models to adversarial attacks remains a critical challenge in the field of cybersecurity and AI robustness. While deep learning models have achieved high performance in sentiment analysis, they are susceptible to subtle input perturbations that induce misclassification. This study presents the design and practical implementation of a web-based system (Proof of Concept) that automates the generation of textual adversarial examples using the Bigram Unigram-Semantic Preservation Optimization (BU-SPOF) algorithm. Rather than proposing a novel attack algorithm, our primary contribution is the architectural integration of a dual-source candidate generation strategy (WordNet and OpenHowNet) and a …

Lru Caching Policy Based On Naïve Bayes Ml Algorithm In Collaborative Peer-To-Peer Systems For Network Bandwidth Utilization, Waheed Yasin

Malaysian Journal of Computing (MJoC)

Web caching offers several advantages, such as increasing cache hit rates, lowering the workload on origin servers, and minimizing network traffic. Nevertheless, limited cache capacity poses a major challenge in web caching systems. Moreover, repeatedly fetching same media objects from origin servers leads to unnecessary bandwidth consumption. Furthermore, traditional caching policies, including Least Recently Used (LRU), are vulnerable to cache pollution. This study introduces a collaborative caching policy based on the Naïve Bayes (NB) Machine Learning (ML) algorithm. The proposed policy exploits structured peer-to-peer architectures, allowing cache contents to be shared among peers to improve the efficiency of LRU web …

Racing To Safety: Tax Policy For Ai Safety-By-Design, Mirit Eyal, Yonathan Arbel

Articles

The White House recently announced its vision of artificial intelligence (AI) policy: AI development is a race and America must win it. To that end, a new America's AI Action Plan directs federal agencies and states to remove regulatory barriers to AI development and accelerate innovation. This approach leaves limited room for regulatory measures that would address the safety risks of powerful AI systems: their behavior in novel domains remains unpredictable, their decision-making opaqueness, and their alignment with human values is uncertain. While experts warn of large-scale accidents, policymakers find themselves in a bind: Regulate AI and cede ground to …

Near-Wall Void Distribution Characterization In Pebble Bed Reactor Using Gamma-Ray Ct And Dem Simulation, Ahmed Jasim, Mauricio Maestri, Abdullah Al Zubaidi, Omar Farid, Muthanna Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Accurate characterization of void-fraction distributions in pebble-bed reactors (PBRs) is essential for predicting flow, heat transfer, and neutronic behavior. High-fidelity experimental benchmark data for validating such predictions remain scarce, largely due to the challenges of non-invasive measurements. In this study, gamma-ray computed tomography (CT) was employed to measure radial and cross-sectional porosity in a laboratory-scale pebble bed containing 6cm graphite pebbles. A Discrete Element Method (DEM) simulation was implemented and validated against these measurements, then applied to the full-scale geometry of the Xe-100 high-temperature gas-cooled pebble-bed reactor. Analyses included radial and axial void-fraction profiles in the cylindrical section and conical …

Radiation Protection Factor Research: The Keystone For Conventional-Nuclear Integration (Cni), Andrew W. Decker

Faculty Publications

This article briefly describes Defense Threat Reduction Agency (DTRA) vehicle Radiation Protection Factor (RPF) research and explains its critical role in enabling future Operations in a Nuclear Environment (ONE) and Conventional-Nuclear Integration (CNI) on behalf of the US Department of War (DoW).1 As such, the background and practical utility of RPF values is discussed, as well as the justification for renewed Army and DoW investment into RPF research to enhance Joint military planning, survivability, and lethality on tomorrow’s nuclear battlefields. Advances in DTRA RPF research directly strengthen US strategic and extended deterrence efforts and support all Agencies and Departments responsible …

Functional Annotation Of Gordonia Phage Minor Tail Proteins Using Alphafold And Structural Homology Searches, Harani Athwale, Mitchell Thenor

Undergraduate Student Symposium

Bacteriophages are viruses that infect bacteria. The basic phage structure consists of a DNA or RNA genome encased in a capsid protein shell. Some may also have a tail, important for attachment and genome delivery into the bacterial host. Recently, the structure of mycobacteriophage Bxb1 was characterized and determined to have 10 minor tail proteins, each assigned a unique function. The genomes of Gordonia rubripertincta phages Fribs8, Genamy16, Alyssamiracle, and NovaSharks were annotated, depicting several minor tai proteins. However, the specific functions were not determined. Therefore, the goal of this research was to assign a specific function to the minor …

Exercise As An Intervention Against Neuroinflammation During Binge Drinking Withdrawal, Shaina Binu, Ellie Wind, Ariana Hernandez, Iliana Uribe, Victoria Pulido-Correa

Undergraduate Student Symposium

Binge drinking, a public health concern in the United States, is associated with negative emotional and cognitive effects during alcohol withdrawal. These effects are believed to result from changes in brain regions involved in stress regulation, emotion, and decision-making, including the prefrontal cortex, amygdala, and hippocampus. Alcohol exposure has been shown to increase neuroinflammation in these regions, which may contribute to anxiety-like behaviors and difficulty regulating emotions during withdrawal. In contrast, aerobic exercise is a promising non-pharmacological intervention that has been shown to reduce anxiety and support brain health. This project investigates how exercise can reduce withdrawal-related anxiety-like behaviors, following …

Evaluating Item Discrimination And Gender-Based Differential Item Functioning In Safe Sex Behavior Questionnaire (Ssbq), Prarthana Harikrishnan, Xinlei Zhang, Hannah Scheffer

Undergraduate Student Symposium

Risky sexual behavior can increase rates of sexually transmitted infections (STIs), posing a danger to the health of young adults. The Safe Sex Behavior Questionnaire (SSBQ; Dilorio et al., 1992) is a widely used measure to assess risky sexual behaviors among young adults. However, few studies have evaluated the psychometric properties of the SSBQ, such as how well the survey items discriminate between individuals who engage in safer versus riskier sexual behaviors (discrimination), and whether the items function equivalently for men versus women (differential item functioning). In the current study, we applied psychometric modeling to a dataset of 1,094 young …

Investigating Epigenetic Dysregulation Of Long Non-Coding Rnas In Glioblastoma And Glioma Stem Cells, Pujita Kellampalli, Mansi Gandhi, Dhruv Patel, Nehal Pant, Mihika Mishra, Shehr Bano, Aaron Basnyet

Undergraduate Student Symposium

Glioblastoma multiforme (GBM) or Grade IV glioma is a very aggressive form of brain tumor with an overall survival rate of 15 months. The tumor contains glioma stem cells (GSCs) that are resistant to existing therapies. Long non-coding RNAs such as DNA methylation are implicated in epigenetic dysregulation of GBM and GSCs. In this study, we screened lncRNAs with altered DNA methylation in both tumor cells and GSCs compared to normal neural cells using 450K methylation array data. We identified 508 methylation sites (320 lncRNAs) that were either hypermethylated (or gained methylation) or hypomethylated (lost methylation) in GBM and GSCs. …

Creatine In Dementia And The Aging Brain, Dylan Kuni

Undergraduate Student Symposium

Dementia is a syndrome that interferes with cognitive functions and an individual's ability to function independently. Dementia includes several subtypes caused by different neuropathologies, with Alzheimer's disease (AD) being the most common form. AD is characterized by the accumulation of amyloid beta plaques and neurofibrillary tau tangles in the brain, associated with neuroinflammation, oxidative stress, and deficits in energy metabolism. While treatments for AD exist, the efficacy, safety, and cost are a concern, highlighting the need for additional prevention and treatment strategies. This literature review examines the role of creatine in brain health and disease, including AD and related dementias. …

An Analysis Of Jump Performance Using Wearable Devices In Collegiate Volleyball Attacking Players, Caiden Largent

Undergraduate Student Symposium

Vertical jump height in volleyball, a key performance measure, may be assessed in a laboratory and measured on the court. Baseline lab measurements are conducted in a controlled environment using a Vertec, while on the court, measurements utilize VERT wearable devices as these measurements. VERT estimates jump height indirectly through inertial measurements when compared to Vertec testing. The purpose of this study is to analyze jump height performance in collegiate volleyball attacking players. Four National Collegiate Athletic Association Division II female volleyball attackers were assessed across five separate matches. Results showed differences shown between jump heights across sets and matches …

Effects Of Bhb(Beta-Hydroxybutyrate) Of Mood, Memory, And Handgrip, Christianna Needham, Sahanj Joshi, Jairaj Bajaj

Undergraduate Student Symposium

The purpose of this study was to test the effects of acute beta-hydroxybutyrate (BHB) on handgrip, mood states and memory of healthy men and women. The subjects were exercise science students from Nova Southeastern University between 18-22 years of age. Subjects performed Handgrip strength, Profile of Mood States (POMS), and Memtrax the tests prior to consuming BHB, as well as 30 minutes, and 60 minutes post consumption. A total of 136 healthy participants (20.5±1.4 years) were randomized into three groups: D-BHB (n=47), L-BHB (n=46), or placebo (n=43). A Two-Way ANOVA test revealed no significant …

Understanding Ice Age Climate In Buffalo Gap National Grasslands Through Heavy Mineral Analysis, Chancellor Rockwell Marks, Jenna Church

Undergraduate Student Symposium

More information about ice age climate change during Marine Isotope Stage 2 (MIS 2), the last glacial maximum, is known from ice cores and marine sediments than from continental geology. For scientists to construct climate models, they need climate information about continental areas for comparison. Marine and ice sediments are deposited in layers, year after year, with relatively little disturbance after deposition. Changes in isotopic composition of these sediments reflect profound changes in Earth's climate. The equivalent continental sediment record is loess (windblown dust), which is deposited in fine layers without subsequent disturbance. Here, we studied loess to determine paleowind …

Modeling The Binding Of Salinosporamide A (Mzb) To The Human 20s Proteasome For Potential Cancer Treatment, Jayden Ross, Jayant Ari, Audrey Anand, Giezel Medina

Undergraduate Student Symposium

This project aims to model and observe the binding of the drug Marizomib (MZB) and compare its binding affinity other similar drugs to the proteosome using the PDB ID 9HMN and bioinformatics tools. MZB is an anti-cancer drug that was derived from the marine bacterium, Salinosporamide A. Its function is to inhibit the human 20S proteasome from breaking down excess proteins, causing the cell to trigger apoptosis. Additionally, MZB has the ability to cross the blood-brain barrier and utilize three catalytically active amino acid sites. The existing PDB ID (9HMN) of a 20S proteasome with MZB bound was 3D printed. …

Developing New Digital Methods To Study And Improve Eyewitness Testimony, Isabella Ryan, Brianna Munoz, Adam Durnin, Tanya Schrader, Joana Vinagre

Undergraduate Student Symposium

Witnesses play a crucial role in criminal investigations. However, their ability to recall important details is influenced by cognitive processes such as memory. To improve eyewitness testimony, psychologists developed science-based interviewing techniques, such as the Cognitive Interview, which are used by police to elicit accurate accounts. We also created new retrieval strategies, namely the Category Clustering Recall (CCR), which has been implemented by agencies such as the Los Angeles Police Department. However, research supporting the use of these techniques predominantly used the mock-witness paradigm, where participants observed a mock-crime on a two-dimensional (2D) screen and recalled it in a controlled …

Corrigendum To “Advanced Techniques In Quartz Wafer Precision Processing: Stealth Dicing Based On Filament-Induced Laser Machining” [Opt. Laser Technol. 171 (2024) 110474] (Optics And Laser Technology (2024) 171, (S0030399223013671), (10.1016/J.Optlastec.2023.110474)), Yun Wang, Yutang Dai, Farhan Mumtaz, Kaiyan Luo

Electrical and Computer Engineering Faculty Research & Creative Works

The authors regret, that the affiliation for author Yun Wang was incomplete. To accurately reflect both the author's academic affiliation and the research platform where the work was conducted. The correct affiliation for Yun Wang is updated as above. The authors would like to apologize for any inconvenience caused.