Digital Commons Network^™

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 …

Disparate (Algorithmic) Advantage, Yunsieg P. Kim, Jacob Eisler

Hofstra Law Faculty Scholarship

No abstract provided.

Utility-Privacy-Communication Trade-Offs In Federated Financial Fraud Detection Under Non-Iid Client Heterogeneity, Baraa I. Farhan

Polytechnic Journal

Financial fraud detection is difficult because fraudulent transactions are rare, unevenly distributed, and sensitive. This study evaluates a lightweight multilayer perceptron under Federated Averaging (FedAvg), Federated Proximal optimization (FedProx), and Federated Adam (FedAdam), using three seeds and validation-selected decision thresholds. Corrected R4 experiments cover the Credit Card Fraud Detection benchmark, the larger Credit Card Transactions dataset, PaySim as a stand-alone synthetic stress test, and the Bank Account Fraud (BAF) Dataset Suite. On Credit Card, FedProx with 20 clients and alpha = 0.5 achieved F1 = 0.789 +/- 0.010. On Transactions, the best tested federated setting used 10 clients and achieved …

Metaheuristic Feature Selection Techniques For Software Fault Prediction: Swot Analysis And Emerging Trends, Ruchika Aggarwal, Kamaljit Kaur

Polytechnic Journal

The paper presents a detailed study of metaheuristic feature selection (MH-FS) methods in software fault prediction (SFP), designed to address the limitations of filter and wrapper feature selection methods such as high dimensionality and local optima that can lead to poor prediction accuracy. MH-FS algorithms address these issues by effectively searching the feature space to identify optimal subsets that improve classifier performance. It conducts a comprehensive narrative review and SWOT analysis (Strengths, Weaknesses, Opportunities and Threats) of MH-FS methods in SFP, considering 44 peer-reviewed articles from 2023 to 2025. A formal taxonomy of metaheuristic algorithms is presented, along with an …

An Empirical Framework For Evaluating Semantic Preservation Using Hugging Face, Nan Jia, Anita Raja, Raffi Khatchadourian

Publications and Research

As machine learning (ML) becomes an integral part of high-autonomy systems, it is critical to ensure the trustworthiness of learning-enabled software systems (LESS). Yet, the nondeterministic and run-time-defined semantics of ML complicate traditional software refactoring. We define semantic preservation in LESS as the property that optimizations of intelligent components do not alter the system's overall functional behavior. This paper introduces an empirical framework to evaluate semantic preservation in LESS by mining model evolution data from HuggingFace. We extract commit histories, $\textit{Model Cards}$, and performance metrics from a large number of models. To establish baselines, we conducted case studies in three …

Color-Blind Resilience: How Uniform Climate Standards Reproduce Environmental Inequality In The Rockaways, Aaryan M. Nair

Publications and Research

This paper examines how ostensibly uniform climate resilience standards can reproduce environmental inequality in socially uneven landscapes, using the Rockaway Peninsula in New York City as a critical case study. While flood-resistant building codes, zoning regulations, and insurance frameworks are designed to provide equal protection across flood-prone areas, this analysis argues that their “color-blind” application obscures and intensifies underlying disparities in financial capacity, housing conditions, and tenure. Drawing on environmental justice (EJ) theory, the paper identifies two key mechanisms through which inequality is reproduced. First, “code without capacity” demonstrates how uniform technical standards—such as elevation requirements under NYC Building Code …

Gender-Inclusive Language In Spanish: A Data-Informed Sociolinguistic Exploration Of Naming Variation, Silvia Rivera Alfaro, Jonathan Hanon

Publications and Research

ABSTRACT

This paper presents a data-informed sociolinguistic exploration of the variation in the names given to gender-inclusive language in Spanish. We use publicly available Google Trends (GT) data to describe the frequency of usage of different names over time and explore their geographical distribution. To account for the challenges and limitations of using Google Trends, we compare the data with information from two large linguistic corpora (CORPES XXI and Google Books Ngram Viewer). Using these tools, we generate small datasets to explore the intricacies of the topic addressed in this paper. In our literature review, we identified 17 names for …

A 20th Century Historical Perspective On Congenital Syphilis And Lessons For Today., Jane F. Knapp, Robert Schremmer

Manuscripts, Articles, Book Chapters and Other Papers

No abstract provided.

Streamlining Eligibility Assessment For Alzheimer’S Disease-Modifying Therapies: Prediction Of Mmse Scores Using The Digital Clock And Recall, Ali Jannati, Claudio Toro-Serey, Marissa Ciesla, Emma Chen, John Showalter, David Bates, Alvaro Pascual-Leone, Sean Tobyne

Faculty, Staff and Students Publications

           Introduction: The eligibility of anti-amyloid disease-modifying therapies (DMTs) and their integration into clinical practice in some institutions requires a specific range of Mini-Mental State Examination (MMSE) scores. Reliance on this pencil-and-paper psychometric instrument imposes operational burdens and risks of perpetuating health disparities, given the test's known educational and cultural biases. This study evaluates the efficacy of the Digital Clock and Recall (DCR™)-a rapid, FDA-listed digital cognitive assessment-to crosswalk to MMSE scores using machine learning, thereby offering a faster, scalable, and equitable mechanism for patient triage.

Methods: We conducted a retrospective analysis using data from the multi-site Bio-Hermes-001 (BH) study ( …

Allocating Electricity, Alexandra Klass, Dave Owen

Articles

The U.S. electricity system is premised on the ideas that utilities have a duty to serve all customers in their service territories and that electricity supply should always meet demand. Until recently, there has been little reason to question these foundational premises. U.S. electricity demand has remained flat for over a decade, and during earlier periods of growth, new energy generation plants were relatively easy to build. Now, however, electricity experts predict massive load growth—most notably from data centers to power artificial intelligence and cryptocurrency—and building new power plants is no longer easy.

Major efforts are underway to increase electricity …

Authorship Nonsense, Jessica Litman

Articles

Copyright law’s primary device for promoting progress is to bestow rights on the authors of works. Rights vest automatically and last for a very long time. Authors’ choices to retain, license, or transfer those rights fuel opportunities to communicate the works to their audiences. The copyright system’s mechanisms for determining who authored works (and therefore automatically obtained copyright rights) should be both accurate and reliable, since misidentifications will undermine the law’s working as intended.

This article examines authors’ creation of works and copyright law’s handling of authorship disputes. Many works result from creative collaboration. Although the copyright statute incorporates mechanisms …

Amino Acids And Lean Mass Accretion In Preterm Neonates, Antonio C Ramos Dos Santos, Marta L Fiorotto, Teresa A Davis

Faculty, Staff and Students Publications

Purpose of review: This review evaluates recent evidence on how total protein and energy intake, amino acid composition, and nutrient delivery modality influence protein synthesis in preterm neonates, with the goal of informing nutritional strategies to support optimal lean mass accretion and growth.

Recent findings: Preterm neonates exhibit anabolic resistance to feeding due to impaired insulin and amino acid signaling in skeletal muscle. Enteral nutrition, especially fortified human milk, supports better lean mass accretion and neurodevelopment than parenteral nutrition. Intermittent bolus feeding and pulsatile leucine supplementation during continuous feeding further enhance mTORC1-dependent translation initiation signaling and protein synthesis efficiency in …

15-Last Lecture, Heinrich Blücher

Bazelow Transcripts

Heinrich Blücher’s Last Lecture, transcript edited by Alexander Bazelow, presents a sweeping philosophical reflection on meaning, freedom, nihilism, and the unfinished task of humanity. Confronting the modern experience of meaninglessness—especially among the young—Blücher argues that philosophy’s enduring task is the transformation of life into meaningful existence through conscious thought and responsible action. He traces the historical development of nihilism and metaphysical belief from ancient myth, through Greek philosophy, Christianity, and modern systems culminating in Hegel, Marx, Kierkegaard, and Nietzsche, whom he treats as prophetic figures of the modern crisis. Blücher criticizes the deification of history, science, power, and ideology, insisting …

The Protective Power Of Psychological Resources In Mitigating Burnout And Enhancing Flourishing, Dylan R. Polkinghorne, David J. Radosevich, Deirdre M. Radosevich, Dianne D. Murphy, Laken James, Sue S. Craver

Management Faculty Research and Publications

Purpose

This study explores how burnout mediates the relationships between critical psychological resources, specifically resilience, flow and self-efficacy, and flourishing in contemporary work environments.

Design/methodology/approach

Data from 374 participants, including undergraduate students at a regional comprehensive university in the Midwest and full-time working adults in the USA, were analyzed using mediation analysis in MPlus 8.11 to assess the indirect and direct effects among burnout, psychological resources and flourishing in a work environment.

Findings

Results indicate that self-efficacy significantly predicts lower burnout levels and higher flourishing. Resilience and flow were negatively associated with burnout, reducing its impact; however, the direct effects …

Mapping Functional Connectivity In The Pigeon Brain With Wide-Field Optical Imaging, Kathryn C Chenard, Annie R Bice, Seana H Bice, Joseph P Culver, Paula Gerliz, Xavier Helluy, Onur Güntürkün, Jason W Trobaugh, Mehdi Behroozi, Carlos A Botero

2020-Current year OA Pubs

SIGNIFICANCE: Adapting optical imaging technology to avian models can overcome many limitations imposed by functional magnetic resonance imaging (fMRI), which currently restricts the number of species used to study functional connectivity. Developing advanced technology to expand the diversity of species that can be effectively imaged is crucial for addressing significant questions that are currently unreachable, such as understanding the evolution of cognition from a comparative perspective.

AIM: We assessed the potential of optical imaging technology to measure functional connectivity in birds, utilizing pigeons as an avian model. We evaluated whether we could partition the dorsal surface of the pigeon brain …

Sonobiopsy For Enrichment Of Circulating Micrornas In Glioma Patients, Jinyun Yuan, Yuanxiang Li, Chih-Yen Chien, Lu Xu, Andrew H Stark, Siaka Fadera, Zhaoning Gu, Yu Xuan Chin, Kevin Xu, Arash Nazeri, Umeshkumar Athiraman, Xiaowei Wang, Hong Chen, Eric C Leuthardt

2020-Current year OA Pubs

BACKGROUND: Sonobiopsy is a promising new technique that employs focused ultrasound (FUS) to noninvasively enrich brain tumor-derived biomarkers from spatially targeted brain location into the bloodstream. Building upon our recent first-in-human sonobiopsy trial demonstrating enrichment of circulating tumor DNA (ctDNA), here we investigated whether sonobiopsy can enhance the release and detection of tumor-derived microRNAs (miRNAs).

METHODS: Eleven patients with glioma underwent FUS sonication immediately prior to surgical resection. Peripheral blood samples were collected 5 min before and 5, 10, and 30 min after sonication. Plasma and brain tissue miRNA levels were quantified through small RNA sequencing and compared among different …

Focused Ultrasound-Enhanced Nose-To-Brain Delivery Of A Therapeutic Antibody In A Large-Animal Model, Siaka Fadera, Cristian Antonio Wieczorek Villas Boas, Yimei Yue, Zhaoning Gu, Jinyun Yuan, Debolina De, Buck E Rogers, Arash Nazeri, Hong Chen

2020-Current year OA Pubs

No abstract provided.

Oculomics And Ai: The Eye As A Biomarker For Health Span, Joy Le Yi Wong, Rajendra S Apte, Et Al.

2020-Current year OA Pubs

As the world's population ages, the focus of healthcare is shifting from extending life span to promoting health span. There is an unmet need to identify sensitive and reliable markers of health span through more cost-effective and non-invasive methods, to enable early and effective intervention on modifiable aging factors. The eye offers a unique window into systemic health, providing direct visualization of the body's vascular and neural health. This review presents an overview of how various ocular structures can serve as biomarkers of health span-drawing on insights from ocular imaging, metabolomics, and proteomics, with evidence from basic science, animal models, …

A Comprehensive Review Of Cyber Security And Current Practices In Global Mining Critical Infrastructure, Abu Barkat Ullah, Wanli Ma, Mohiuddin Ahmed, Bazlur Rashid, Munir Ahmad Saeed, Omer Arshad, Utkarsh Raghav

Research outputs 2022 to 2026

The purpose of the study is to explore the reasons behind the low uptake of Information Security Management Standards (ISMS), Asset Management, and Business Continuity Plans despite increasing cyber threats to the mining sector. Mining companies need to modernize and automate to keep up with the ‘Fourth Industrial Revolution’, driven by disruptive technology, forcing systems and technologies to become more integrated, increasing cyber attack threats. To address this, we conducted a literature review analyzing the mining industry across various regions. The research is based on a qualitative analysis of diversified literature. The results highlighted factors behind the low uptake of …

Can Dna Be Glycosylated?, Wei Wang

Research outputs 2022 to 2026

No abstract provided.

Pathways To Prosperity: How Tourism Industry Training Reduces Poverty, Panpan Sun, Songshan Huang, Ghialy Yap, Zhibin Lin, Lei Zhao

Research outputs 2022 to 2026

This study investigates the effects of tourism industry training (TIT) on poverty alleviation, considering both direct and indirect pathways. Integrating labour mobility theory, human capital theory, and the tourism-led growth (TLG) hypothesis, we propose a new theoretical framework. Based on panel data from 29 Chinese provinces between 2000 and 2019, the empirical results show that TIT has a significant negative effect on poverty level, depth, and severity, with a larger direct impact than the indirect effect through tourism development. We also find significant regional differences in the impact of TIT on poverty reduction, with TIT having a more substantial impact …