Digital Commons Network^™

What Does The Quality Of Life For Congenital Heart Defect Patients Look Like Across The Lifespan?, Kaylee F. Maynor

Undergraduate Honors Theses

Throughout history, birth defects have left a mark on patients and families across the world. From an infant's first few breaths to an elderly person's last breath, congenital heart birth defects play a major role in that person's life. There are many different types of birth defects that effect the heart. Each defect is unique and has different outcomes on the body. Some congenital heart diseases have multiple defects causing more than one complication. The treatment options for many of the common congenital heart birth defects have come a long way throughout decades of research. By diving into what heart …

Judging What Jurors Know: Expert Testimony After Voir Dire, Chris Cox

Scholarly Works

No abstract provided.

Mitochondria As Primary Cause Of Neurodegeneration: Evaluating Causality Across Amyotrophic Lateral Sclerosis (Als), Alzheimer's, And Parkinson’S Diseases, Makenzie G. Johnson

Undergraduate Honors Theses

Neurodegenerative diseases like Alzheimer's Disease (AD), Parkinson’s Disease (PD) and Amyotrophic Lateral Sclerosis (ALS) have historically been explained through alternate hypotheses despite shared clinical hallmarks that lead to neuron loss. However, these varying explanations could not account for how disease onset begins among other individual issues. This thesis aims to show that mitochondrial dysfunction is a primary driver of neurodegeneration as well as a unifying mechanism shared between the three diseases. Evidence presented in this thesis will show that many issues can arise in mitochondria including issues with energy production, mitochondrial DNA (mtDNA), apoptosis activation, and calcium regulation. These issues …

Dental Implantology: A Literature Review, Kylie Taylor

Undergraduate Honors Theses

Dental implant therapy is the process of replacing teeth as a form of treatment to improve quality of life, function, and esthetics. The success of the implant depends on the surgical technique, type of prosthetic, and factors related to individual patients. The most important factor for implant success is osseointegration. Osseointegration is a process in which success is determined by the bone quality, the surface characteristics of the implant and the surgical approach. Some approaches to improve the osseointegration of the implant are low-speed drilling, guided surgery, and reduced surgical trauma at the site. The impact of systemic conditions, health …

Pull-Out Performance Of Multiple Glued-In Rods In Sustainable Inorganic-Bonded Bamboo Composite Under Perpendicular-To-Grain Loading, Jing Ru Yao, Shaohua Yu, Qingxia Yue, Hanshu Zhang, Ernian Zhao

Physics and Engineering Science

As a sustainable bio-based material derived from bamboo crops, inorganic-bonded bamboo composite (InorgBam) exhibits excellent environmental sustainability, fire resistance, and long-term durability. To enable its broader adoption in structural applications, robust and efficient connection methods are essential. Glued-in rod (GiR) connections, characterized by high strength, stiffness, and superior fire performance, are especially well-suited for modern engineered bamboo and timber connections. The pull-out behavior of multiple GiRs in InorgBam material under perpendicular-to-grain loading was experimentally investigated using double-, triple-, and quadruple-rod specimens. The influence of anchorage length and spacing on failure modes and load-carrying capacity was systematically analyzed. Results demonstrate that …

A Novel Simulation Framework To Estimate Dynamic Response Of A Solar Panel Array Under Stationary Stochastic Wind Loads, Hanshu Zhang, You Jia Li, Matthew J. Dejong

Physics and Engineering Science

This paper presents a novel simulation framework for estimating the dynamic response of a full-scale ground-mounted solar panel array under stationary wind loads that are spatially correlated across the length of the solar panel array. Specifically, the framework uses mean pressure coefficient distributions along the length of a 1:10 prototype scale of the solar panel array from smooth inflow derived using the computational fluid dynamics (CFD) simulation software The Wind Engineering with Uncertainty Quantification (WE-UQ). Note that for the CFD simulation, the input wind field across the length of the solar panel array is uniform along the horizontal direction, and …

Annual Report For The Town Of Bridgewater, New Hampshire For The Fiscal Year Ending December 31, 2025, Bridgewater Town Representatives

Bridgewater, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

Criminal Data Function Creep, Sarah E. Lageson

Journal of Criminal Law and Criminology

Automated, data-driven decision-making can create unfair outcomes and lead to discrimination. This Article considers a relatively ubiquitous part of modern life that is increasingly automated: the criminal background check. This Article, with contributions at the intersection of law and technology, antidiscrimination and consumer protection law, and sociological theory, makes the central claim that criminal record data is characterized by function creep—the unintended use of data for another purpose—which leads to a specific set of harms. This Article makes three central contributions. First, it offers an empirical assessment of contemporary, data-driven background screening using data based on in-depth interviews and systematic …

Rebutting The Presumption: A Constitutional Theory Of Pre-Trial Asset Seizures And Procedural Due Process, Benjamin Y. Rabin

Journal of Criminal Law and Criminology

In this Comment, I trace the origins and examine the current state of the doctrine on pre-trial asset seizures, then argue for a new approach grounded in procedural due process and constitutional theory.

The existing frameworks for assessing due process in these cases fall into three categories. The first grants the government broad presumptive validity for pre-trial seizures. The second applies a utilitarian balancing test, following the Supreme Court’s reasoning in Mathews v. Eldridge and Connecticut v. Doehr. The third, illustrated by the recent decision in Culley v. Marshall, relies on comparisons to historical practice.

I argue that …

Synthetic Contact Zones: Meeting Nature And Animals In Video Games, Sarah C. Mcpherson

English Theses

Due to economic and environmental barriers, encounters with animals and nature have become increasingly inaccessible for many people, while video games have emerged as a common site for simulated environmental interaction. This thesis conceptualizes video games as synthetic contact zones, or digital spaces where representations of humans, animals, and environments interact, conflict, and shape one another. Drawing on the theories of Mary Louise Pratt, Donna Haraway, and Alenda Y. Chang, this project analyzes how video games model relationships between players, animals, and ecological systems through interactive mechanics and environmental storytelling. Explorations of Red Dead Redemption 2, Blair Witch, …

Enhancing The User Experience Of Colorado Bend State Park Through The Implementation Of Cultural Landscape Analysis, Hunter C. Lynch

Landscape Architecture Masters & Design Theses

This design thesis investigates how landscape character and sense of place can be more clearly expressed through a cultural landscape approach to design at Colorado Bend State Park, a state park in Texas, with a focus on guiding future trail and campsite development in the currently undeveloped eastern portion of the park.The park’s dramatic canyons, limestone bluffs, spring-fed systems, and upland prairies form a series of distinct, yet interconnected landscape conditions shaped by the interaction of physical structure, ecological systems, and cultural associations. While these characteristics define the site's identity and are reflected in portions of the existing park, they …

Voice And Student Engagement With Writing: Integrating Perspective, Personality, And Style, Sara S. Martin

English Dissertations

The rise of generative AI has many teachers worried about the future of writing classes and students’ desire to learn. However, instructors can motivate students to write by valuing what AI can never replace: their voices. Previous definitions of voice took the concept for granted and left it either vague or reductive, unhelpful for structured lessons. I propose a new, more teachable definition of voice as perspective, personality, and style. Perspective takes priority because it belongs solely to the individual and the unrepeatable moment of composition. Personality infuses passages with emotion, forming a bond between author and reader. Style, the …

Enhancing The Performance Of Disk-Based Key-Value Stores: From Learned Index Acceleration To I/O-Efficient Hybrid Caching, Sujit Maharjan

Computer Science and Engineering Dissertations - Archive

The exponential growth of data in modern computing environments has rendered the efficient extraction of information from massive datasets a critical systemic requirement. Key-value (KV) storage systems serve as the backbone for these operations; however, their performance is consistently bottlenecked by two primary functional requirements: identifying the data's location and managing the physical cost of accessing the storage device. Data locations are typically identified via an index, while disk I/O is minimized through caching. This dissertation presents LearnedStore, TurboIndex, and ReadBooster, which break these performance bottlenecks by introducing architectural modifications to the index and cache. LearnedStore accelerates operations by adapting …

Adaptive Synchronization In Digital Twin–Enabled Iot Systems: A Unified Framework For Energy, Fidelity, And Latency Trade-Offs, Uzma Zehra

Computer Science and Engineering Theses

Digital twin technology has emerged as a foundational paradigm for enabling real-time monitoring, analysis, and control in Internet of Things (IoT) systems by maintaining virtual representations of physical processes. Its effectiveness, however, critically depends on timely and accurate synchronization between distributed sensing devices and their corresponding digital counterparts. Frequent synchronization improves reconstruction fidelity and system responsiveness but incurs significant communication energy consumption and network latency. In contrast, infrequent synchronization conserves communication resources but can lead to stale or inaccurate digital twin states, particularly in environments with rapidly changing dynamics. These opposing effects give rise to a fundamental trade-off among energy …

Performance Evaluation Of Modified Moisture Barrier For Subgrade Stabilization Of Pavements On Expansive Soils, Md Tamim Shahriar

Civil Engineering Theses

Expansive soils inflict an estimated nine to fifteen billion dollars in annual damage to infrastructure across the United States, surpassing the combined losses from earthquakes, floods, hurricanes, and tornadoes (Nelson and Miller, 1997; Jones and Jefferson, 2012). In Texas, eighteen of twenty-five TxDOT districts contend with pavement failure rooted in moisture-driven volume change of subgrade clay, consuming roughly twenty-five percent of the agency's annual budget for maintenance and repair (Sebesta, 2002; Wanyan et al., 2010). Conventional remediation approaches, including soil replacement, chemical stabilization with lime or cement, and prewetting, are either prohibitively expensive, unsuitable for high-sulfate soils, or confined to …

Ai Literacy Frameworks In Secondary Cte: Supporting The Next Generation Of The Workforce, Reagan Kaylee Montross

All Electronic Theses and Dissertations

The purpose of this literature review is to understand how generative AI (GenAI) is impacting the future employment of high school students at the forefront of the most significant technological, cultural, and educational shift of this generation. It examines five AI literacy frameworks relating to secondary education. These frameworks each emphasize the importance of educating students in AI literacy and provide educators with a structure for integrating AI skills. Among the frameworks reviewed, those published by the United States Department of Labor and the OECD place greater emphasis on applied practices, while the AI4K12 and KAT frameworks emphasize how AI …

Generative Imaging For Computational Pathology, Md Jillur Rahman Saurav

Computer Science and Engineering Dissertations

Hematoxylin and eosin (H&E) staining remains central to cancer diagnosis, providing morphological information essential for pathological assessment. Immunohistochemistry (IHC) and newer multiplexed imaging technologies complement H&E by revealing molecular information critical for accurate tumor subtyping and treatment decisions. In practice, however, H&E and IHC are obtained from different consecutive sections that are not spatially aligned, comprehensive multiplexed panels are expensive and tissue-consumptive, and not all stains are available at every clinical site, limiting comprehensive molecular profiling and the full diagnostic potential of these technologies in clinical practice. This dissertation addresses these gaps through three complementary generative deep learning studies in …

Density And Fiber Alignment Of The Fibrous Extracellular Matrix In Ovarian Cancer Metastases, Rachel Glantzberg, Aditi Singh, Mohammad Asghar Qanit

Wetterhahn Science Symposium Posters

The primary aim of this project is to improve and justify biophotonic approaches to label-free, non-invasive cancer detection, particularly within the context of peritoneal metastases from ovarian cancer. Ovarian cancer often metastasizes to the peritoneum, resulting in microanatomical changes in collagen and elastin fiber direction and density. While prior research has provided insights regarding collagen density changes in other types of cancer, peritoneal metastases from ovarian cancer remain minimally characterized, particularly in regards to elastin fibers. Preliminary results suggest that there is a difference in the elastin and collagen contents of healthy and cancerous tissues and that these contents differ …

Preliminary Observations From The Relativistic Electron Atmospheric Loss (Real) Satellite Mission, Evzen Selvon, Robyn Millan

Wetterhahn Science Symposium Posters

The Relativistic Electron Atmospheric Loss (REAL) spacecraft (launched in July 2025) is a 3U cubesat designed to measure the precise energies (1 keV – 2MeV) and pitch angles of electrons entering the Earth’s ionosphere. The mission involves Dartmouth, BU, JHUAPL, MSU, and NASA. REAL carries three particle sensors measuring low, medium, and high energies. This work is focused on the ElectroStatic Analyzer (ESA) instrument, designed to measure lower energy electrons (1-40 keV) in the directions parallel and perpendicular to the Earth’s magnetic field. This research aims to identify notable events observed by the REAL spacecraft for future analysis.

When Machines Collude: Rebooting Antitrust Law For The Age Of Algorithmic Markets, William K. Knight

Emory Law Journal

Increasingly, our lives are being dominated by algorithms. From social media feeds to credit scoring, algorithms play a major role in our day-to-day lives, whether we recognize it or not. An emerging issue in the modern technology landscape is the potential for algorithms to cause anticompetitive harm to free markets. As pricing algorithms become more advanced and more widespread, they could facilitate collusive arrangements in a manner that bypasses antitrust laws, thereby adversely impacting consumers through higher prices. American competition law, primarily governed by the Sherman Antitrust Act, suffers from glaring deficiencies and ambiguities that remain unresolved, leaving it manifestly …

Predicting Next-Day Eur/Usd Direction Using News Sentiment And Technical Indicators With Finbert And Xgboost, Darshan Sanjaybhai Khunt

Selected Full-Text Master Theses 2021-

Forecasting exchange-rate movements is a challenging task because currency prices are influenced not only by macroeconomic and financial variables but also by market sentiment reflected in financial news. This thesis examines whether financial news headlines can be used to predict the next-day directional movement of the EUR/USD exchange rate by applying finance-specific natural language processing and machine learning techniques.

The study uses a dataset of approximately 466,000 finance-related English-language news headlines collected between 2021 and 2025, aligned with daily EUR/USD closing prices. After preprocessing and temporal alignment, the data are used to construct a binary classification task in which the …

Co-Encapsulation Of Microalgae Haematococcus Pluvialis And Lactic Acid Bacteria Lacticaseibacillus Casei Via Filamentous Fungi Scaffolds Improved Probiotic Viability In Simulated Gastro-Intestinal Conditions, Suvro Talukdar, Tyler J. Barzee

Biosystems and Agricultural Engineering Faculty Publications

Fungal-assisted cell immobilization has emerged as a promising approach for food, energy and environmental applications, utilizing the hyphal network of filamentous fungi to encapsulate microorganisms. Co-encapsulation of multiple microorganisms within fungal pellets enables the development of food delivery systems that combine complementary functional and nutritional properties, including enhanced probiotic protection and delivery of bioactive compounds. This study used edible filamentous fungus Aspergillus awamori to encapsulate Haematococcus pluvialis microalgae and Lacticaseibacillus casei lactic acid bacteria (LAB) for probiotic delivery. Both active and heat-deactivated pellets successfully co-encapsulated microalgae and LAB, although low shear conditions were required for inactive fungal states. Under in-vitro …

Exploring Relational Farming Futures For Responsible Innovation In Precision Agriculture Through Q-Method And Speculative Design, Bhavna Joshi, Maaz Gardezi, Edward Prutzer, Awais Hameed Khan, Asim Zia, Benjamin E. K. Ryan, Ali Dadkhah, Donna M. Rizzo, John T. Mcmaine, David Clay

Biosystems and Agricultural Engineering Faculty Publications

This article draws on concepts of speculative design and responsible innovation to examine the possible impacts of data-driven precision agriculture on farmers and farm work. We use an innovative mixed-method approach to research design. Using artistic depiction of futures of precision agriculture in design workshop and in-depth semistructured interviews conducted with the farmers in Vermont and South Dakota, we explain how farmers perceive different futures of precision agriculture. Specifically, in our design workshop, we combined visual arts and social science methods, namely Q-method, to explore existing and new relationships between humans, technologies, and environment in the design, deployment, and use …

Improving Data Collection And Analysis For Development Of An Ai Powered Video Based Autism Screening Tool, Angelica Sanyal, Ziteng Wang

CURE Proceedings

No abstract provided.

Dim Light At Night Impacts Circadian Rhythms And Alzheimer’S Disease-Like Neuroinf Lammation And Neuropathology In Humanized App Saa Knock-In Mice, Marilyn J. Duncan, Margaret R. Hawkins, Leke Bytyqi, Haleigh R. Whitlock, Savannah M. Shepard, Makayla F. Cox, Esther G. Drinkard, Teresa Macheda, Kelly N. Roberts, Katharina Kohler, Mary-Claire Schmidt, Carrie E. Johnson, Sridhar Sunderam, Bruce F. O'Hara, Michael Paul Murphy, Adam D. Bachstetter

Neuroscience Faculty Publications

Artificial light at night (light pollution) is widespread but understudied in the context of Alzheimer’s disease (AD). Sleep and circadian disruption have been linked to amyloid-β (Aβ) accumulation and neuroinflammation, but whether dim light at night (dLAN) modifies these processes remains unclear. We tested whether chronic dLAN exposure (8 lux during the dark phase, 8 weeks) alters circadian rhythms, amyloid pathology, and neuroinflammation in 12–13 month-old humanized APP knock-in (KI) mice. hAPP^SAA KI mice, which develop plaques, were compared with hAPP^WT KI controls carrying only a humanized APP sequence. dLAN reduced circadian rhythm amplitude and stability while increasing …

Forecasting Precipitation In Cuba Using Graph Based Deep Learning, Taufiqul Islam

Earth & Environmental Sciences Theses

Daily precipitation forecasting remained a challenging problem in regions characterized by strong spatial heterogeneity, nonlinear atmospheric dynamics, and intermittent rainfall behavior. Cuba represented a particularly complex case due to the combined influence of tropical cyclones, easterly waves, mesoscale convective systems, and orographic effects, which produced highly variable rainfall patterns in both space and time. Conventional statistical and machine-learning models typically treated stations independently and therefore overlooked spatial dependencies that strongly influenced rainfall variability across the island.

This study developed a spatiotemporal deep-learning framework for daily precipitation forecasting across 40 spatial nodes in Cuba using data from 1979 to 2023. The …

Charge‐Governed Mechanistic Evaluation Of Aav2 Clarification Via Functionalized Flat Sheet And Hollow Fiber Deconstructed Depth Filters, Mara Baughman‐Leach, Mattie Brock, Malgorzata Chwatko, Dibakar Bhattacharyya

Chemical and Materials Engineering Faculty Publications

The expansion of adeno-associated virus (AAV)-based therapeutics has increased the demand for efficient clarification. In this study, a functionalized deconstructed depth filtration platform was developed to dissect how membrane–virus charge, modulated by pH, influences separation. Three charge regimes, positive (pH 4), neutral (pH 6), and negative (pH 8) between the membranes and AAVs, were examined. The flat-sheet system, composed of sequential 1.2, 0.8, 0.45, and 0.1 µm membranes, enabled the first layer-by-layer analysis of depth filtration behavior. This revealed that Stage 1 and Stage 4 dominate clarification. Remarkably, substantial DNA capture (> 75%) was observed even in the largest-pore stage, …

Creep-Recovery Behavior Of Copper Springs At Low Stresses, Ming-Yen Tsai, Shou-Yi Chang, Yi-Chia Chou, Jyun-Lin Hu, Yulin Zhang, Fuqian Yang, Sanboh Lee

Chemical and Materials Engineering Faculty Publications

Copper springs, unlike conventional wires, endure complex stress states such as torsion and bending under sustained thermal and mechanical loads. This study examines the time-dependent creep-recovery behavior of copper springs under low tensile forces at temperatures ranging from 523 K to 623 K, focusing on springs with spring indexes (ratio of mean spring diameter to wire diameter) of 6.4, 8.5, and 9.6. The non-linear Burgers model with a Kelvin solid effectively captures the deformation response and mirrors dislocation nucleation and annihilation kinetics. SEM and TEM imaging reveal that low-angle grain boundaries (LAGBs) act as both dislocation sources and sinks. The …

Candidate Interaction Partners Of Calpain-5 Suggest Clues To Its Involvement In Neovascular Inflammatory Vitreoretinopathy, Jozsef Gal, Vimala Bondada, Rachel Crasta, Dorothy E. Croall, Calvin P. Vary, James W. Geddes

Spinal Cord and Brain Injury Research Center Faculty Publications

Although calpain-5/CAPN5 is widely expressed in mammals, little is known regarding its functions. Pathogenic mutations of CAPN5 are causal for a devastating autoimmune eye disease, neovascular inflammatory vitreoretinopathy (NIV). To provide insight into both the physiological and pathological roles of CAPN5, it is essential to identify candidate interaction partners and possible substrates. Human SH-SY5Y neuroblastoma cells, transfected with full-length catalytically dead (Cys81Ala) CAPN5-3×FLAG, were used for anti-FLAG co-immunoprecipitation (co-IP) and quantitative proteomics using Sequential Window Acquisition of all THeoretical mass spectra (SWATH-MS). Fifty-one proteins were enriched at least four-fold, p < 0.01, relative to cells transfected with an empty FLAG vector. A high proportion (24/51) of candidate CAPN5 interaction partners are associated with protein quality control, including components of the chaperonin, chaperone, and ubiquitin–proteasome systems. Additional candidate interactors include tubulins, kinases, phosphatases, G proteins, and mitochondrial proteins. CAPN5 interactions for 14 of the candidate proteins were confirmed by co-IP and immunoblotting. Of these 14 proteins, 11 exhibited in vitro calcium-induced proteolysis following co-IP with WT CAPN5-3×FLAG. Impaired calcium-induced proteolysis of co-IP proteins was observed for the pathogenic CAPN5 variants R243L and R289W. Further studies are needed to validate the association of candidate CAPN5 interactors with proteins and complexes suggested by the SWATH-MS and co-IP results, and the possible role of CAPN5 within such complexes. The possible involvement of CAPN5 in protein quality control is relevant to NIV, as defects in protein quality control have been implicated in inherited retinal disorders. Proteomic data are available via ProteomeXchange with identifier PXD068008.

Developing Curcumin Analogues For Treating Breast Cancer, Tulasi Laxmi Nutalapati

Theses, Dissertations and Capstones

Breast cancer is still one of the most common types of cancer and one of the most common causes of cancer-related deaths in women around the world. Despite significant advances in early detection and treatment strategies, drug resistance, systemic toxicity, and poor outcomes in aggressive subtypes continue to limit the overall effectiveness of cancer therapy. Natural compounds have become promising anticancer agents because they can target many different things and are not very toxic. Curcumin has shown promise as an anticancer drug, but it cannot be used in the clinic because it does not absorb well, breaks down quickly, and …