Digital Commons Network^™

From King To Villain: Herod The Great's Transition From Historical Figure To Dramatic Antagonist, Joshua Reed

Research Honors

King Herod the Great’s reputation in 17th-century England was so vile that several theologians and writers took it upon themselves to write biographies of him, styling him as one of the worst men who ever lived. He had become a monolithic example of evil, tyranny, and unrighteous wrath divorced from the historical reality. Modern historical consensus on Herod is that he was a troubled ruler with paranoia and a temper, but little more. Meanwhile, followers of the Christian faith know him for orchestrating the Massacre of the Innocents—an event wherein an untold number of baby boys in Bethlehem were murdered …

Balancing Act: Insights Into Telangana Farmers’ Perspectives On Intensive Vs. Sustainable Agriculture, Srinivas Katherasala, Ram Shepherd Bheenaveni

School of Social Work Faculty Publications

High-input agriculture presents several drawbacks that can adversely affect both environmental sustainability and human health. A primary concern is soil degradation, which results from the excessive use of chemical fertilizers and pesticides. These substances can deplete soil nutrients, impair crop growth, and ultimately render the land barren and unproductive. This study, therefore, aims to explore the perceptions and practices of farmers in the Kumuram Bheem Asifabad district of Telangana State, India. The research involved a sample of 382 farmers across six mandals within this district. A stratified random sampling method was utilized within a survey-descriptive research framework. Data collection incorporated …

Preventing And Responding To Workplace Violence In The Emergency Department, Janina La Porte, Stefanie Lai, Alicia Rodriguez

Articles, Abstracts, and Reports

No abstract provided.

Implementation And Evaluation Of Ai-Based Citizen Question-Answer Recommender (Acqar) To Enhance Citizen Service Delivery In Singapore Public Sector: A Case Study, Hui Shan Lee

Dissertations and Theses Collection (Open Access)

Government agencies prioritize citizen service delivery to foster trust with the public. Technological advancements, particularly in Artificial Intelligence (AI), hold promise for improving service provision and aligning government operations with citizens' needs. Yet the inherent inflexibility of Service Level Agreements (SLAs) often overlooks the nuances of human emotions and the varied nature of citizen inquiries, exacerbated by a lack of tools to guide appropriate responses. This dissertation aims to address the gaps of overlook of human emotions and non-support for appropriate responses, by exploring the following questions: (1) Can a predictive model incorporating both numeric and textual data effectively forecast …

Can Organizational Focus On Responsible Ai Lead To Improved Ai Adoption By Employees?, Seema Chokshi

Dissertations and Theses Collection (Open Access)

The duality inherent in Artificial Intelligence technology entails that while AI has the potential to bring about transformative benefits to organizations, unintended consequences of AI applications could lead to biased and discriminatory outcomes, which could have negative consequences for the organization and society in general. Concerns about such unintended consequences are an impediment to AI adoption where unwilling employees and practitioners often fear ethical breaches, thereby, negatively impacting their engagement with AI driven applications. In response to these concerns various organizations and regulatory bodies have developed governing frameworks broadly known as Responsible AI standards, that set guidelines to design, …

Loose Purse Strings, Loose Cultures: How Resource Increase Affects Cultural Tightness-Looseness And Creativity In Large And Small Organizations, Caleb Chun Kwan Chu

Dissertations and Theses Collection (Open Access)

For over a decade, cultural tightness-looseness (TL) has established itself as a culture construct that is useful in diverse contexts at multiple levels. While most TL research has focused on TL consequences, less attention has been paid to TL antecedents. This dissertation proposes resource increase as a TL predictor and uses a resource-based perspective to review and extend extant TL literature. I empirically examine the effect of resource increase on incremental and radical creativity as mediated by TL at the team level. I also explore the moderating effect of organizational size on these team-level relationships. The data were drawn from …

How Does The Captain Guide The Brightest Stars? The Effect Of Leadership Styles On Star's Work Performance, Jen-Tsung Chen

Dissertations and Theses Collection (Open Access)

This study aims to investigate the effect of leadership styles on the work performance of star talents. As star talents play more and more critical roles in the sustainable development of enterprise, how to effectively manage star talents’ sustaining growth becomes a crucial issue for organizations. The questionnaire survey is conducted to explore how different leadership styles influence the work performance of star talents. How leader-member exchange mediates the relationship between leadership styles and star talents’ work performance, and how star talents’ annual income moderates the relationship between leadership and star talents’ work performance. A total number of qualified 149 …

Sequential Recommendation: From Representation Learning To Reasoning, Lei Wang

Dissertations and Theses Collection (Open Access)

The recommender system is a crucial component of today's online services. It helps users navigate through an overwhelmingly large number of items and discovering those that interest them. Unlike general recommender systems, which recommend items based on the user's overall preferences, sequential recommender systems consider the order of user-item interactions. Sequential recommendations aim to predict the next item a user will interact with, given a sequence of previously interacted items, while considering the short-term and long-term dependencies among items.

In this thesis, we focus on sequential recommendation methods: from representation learning to large language model (LLM)-based reasoning. On the one …

The Relationship Between Medical Equipment Management Outsourcing And Performance, Sheng Bian

Dissertations and Theses Collection (Open Access)

Medical equipment, as a core component of a hospital’s fixed assets, provides essential support and assurance for the hospital to deliver medical services and enhance competitiveness. The operation of public hospitals in China is a top priority for deepening medical reforms. As hospitals transition from focusing on revenue to centering on costs, comprehensive management of medical equipment becomes a critical aspect of hospital operation management. In the scenario of utilizing the management service outsourcing mode for comprehensive management of medical equipment, equipment performance naturally becomes a topic of special interest in the industry.

Given this, this study aims to investigate …

Non-Native Rhizophora Mangle As Sinks For Coastal Contamination On Moloka’I, Hawai’I, Geoffrey Szafranski, Elise F. Granek, Michelle L. Hladik, Mia Hackett

Environmental Science and Management Faculty Publications and Presentations

Coastal mangrove forests provide a suite of environmental services, including sequestration of anthropogenic contamination. Yet, research lags on the environmental fate and potential human health risks of mangrove-sequestered contaminants in the context of mangrove removal for development and range shifts due to climate change. To address this, we conducted a study on Moloka'i, Hawai'i, comparing microplastic and pesticide contamination in coastal compartments both at areas modified by non-native red mangroves (Rhizophora mangle) and unmodified, open coastline. Sediment, porewater, and mangrove plant tissues were collected to quantify microplastic and pesticide concentrations across ecosystem type. Average microplastics were similar between …

Leveraging Sentiment Analysis For Tokyo Airbnb Hosts And Decision Makers, Shaikha Aldahmani

Theses

This study focused on the growing challenges that Tokyo Airbnb hosts and policymakers face in the holiday homes and home stays market. The study aimed to empower hosts with insights to optimize offerings and assist policymakers in informed decision-making for enhancing neighborhood experiences, with a focus on data-driven business strategies grounded in sentiment analysis. The project employed a robust methodology that leverages sentiment analysis techniques to gain insights from guest comments of Tokyo Airbnb listings spanning from September 2011 to June 2023. The CART algorithm and the Affin sentiment lexicon were used for data cleaning, consolidation, and sentiment analysis. The …

Optimizing Supply Chain Dynamics Using Machine Learning, Mohammad Zubin Siddiqui

Theses

Supply chains face many challenges in today’s business environment. This paper examines how advanced analytics can be used to improve supply chain efficiency and resilience with a particular focus on demand forecasting and late delivery analysis. The thesis focuses on two areas, which are forecasting demand and analyzing late deliveries. With the help of data-driven models for forecasting demand and pinpointing reasons behind delayed shipments, establishments can take appropriate measures that will reduce risks and enhance operational efficiency. A complete analytic framework is suggested that integrates sophisticated analytics into supply chain management so that organizations can optimize all their operations …

Learning From Disagreement In Human-Annotated Datasets, Tharindu Cyril Weerasooriya

Theses

Artificial intelligence (AI) systems frequently need to learn from human decision makers, which aids in scaling systems for mass use. We see this in automated financial decisions, manufacturing processes, self- driving cars, and content moderation on social networks. These systems are built on human values and trained to mimic human decision-making through human annotation. However, different groups of human annotators, including domain experts, annotate content differently, leading to disagreements. Some practitioners treat dissenting opinions as “label noise”. A common approach to dealing with disagreement is to consider a majority vote, which effectively conceals the disagreements from the trained model. Although …

“Art For The Millions:” The Evolution Of Informal Learning From The Charleston Museum To The New Deal, Kristen Walker

Theses

The advent of the first museum in the United States in 1773, The Charleston Museum, sparked a shift in the way education is perceived and how it can be conducted. However, only recently has the intentional implementation of programs and exhibitions been created in a digestible way for the public. This thesis discusses how informal learning has evolved since the establishment of the Charleston Museum and the legacy of the Federal Art Project regarding informal learning and art education. Key research methods include the examination of primary and secondary resources, including oral histories held by the Smithsonian Archives of American …

From Ordinary To Extraordinary: Using Storytelling To Reveal The Hidden Histories Of Objects And Enhance Meaning Making In A Living History Village, Jill Poppenheimer Johnson

Theses

Objects without a narrative are simply things. By contrast, an object with a story can be used as a vehicle for a museum to open dialogues with visitors about the people of that time period, how they lived their lives, and what social aspects influenced them. The story of an object, what makes it different from hundreds of others just like it, can change it from ordinary to extraordinary and be used as a powerful learning tool by helping the audience to create connections and make meaning of what they are seeing and experiencing. This thesis explores the relationships between …

“Jí'Dë'Ö:H” Means Bird: Decolonizing The Modern Birding Experience Through The Inclusion Of Narratives From Indigenous Communities Of Western New York, Angelique M. Armstrong

Theses

This thesis explores the efficacy of combining Indigenous culture narratives with elements of traditional Euro-American field guides to create an alternative form of birding1 field guide. The desired outcome is to create a more inclusive and well-rounded birding experience that celebrates the wisdom and worldview of the people who inhabited the New World before its European “discovery.” The intention is to approach birding from the standpoint of the past and present Caretakers of the land; the members of Indigenous communities whose ancestors lived (and still live) in harmony with the land and living creatures (including birds). It seeks to answer …

(Wp 2024-02) Stratification Economics: Historical Origins And Theoretical Foundations, John B. Davis

Economics Working Papers

Stratification economics (SE) investigates how economies are organized around group inequalities, especially by race and gender but also by ethnicity, national origin, religion, sexual orientation, etc. Its historical origins and theoretical foundations have both a structural strand that addresses how and a social behavioral strand. SE's structural strand goes back to Ricardo and Marx regarding the relationship between growth and distribution, and then draws on recent economic theory of noncompeting groups and dual economy models of labor market segmentation. SE's structural strand produces an inequality-based understanding of economics' standard goods taxonomy. The social behavioral strand builds on Du Bois's psychological …

The Complexities Of Irrigation Efficiency: Groundwater Data, Agro-Hydrology, And Water Decision-Making In Central Oregon, Rebecca Anderson, Alida Cantor

Geography Faculty Publications and Presentations

Irrigation efficiency projects aim to conserve water for in-stream flow and agricultural use by reducing water losses throughout the system. Piping irrigation canals is a common irrigation efficiency method that results in trade-offs: while it increases efficiency of irrigation water conveyance, it reduces incidental groundwater recharge. This paper focuses on the data and decision-making of canal piping, focusing primarily on understanding the potential impacts of reduced canal leakage on shallow wells. By conducting a spatial analysis of shallow wells in the basin at risk of being impacted by canal piping, and combining this with interviews with water managers in central …

Exploring Quaternion Neural Network Loss Surfaces, Jeremiah Bill, Bruce A. Cox

Faculty Publications

This paper explores the superior performance of quaternion multi-layer perceptron (QMLP) neural networks over real-valued multi-layer perceptron (MLP) neural networks, a phenomenon that has been empirically observed but not thoroughly investigated. The study utilizes loss surface visualization and projection techniques to examine quaternion-based optimization loss surfaces for the first time. The primary contribution of this research is the statistical evidence that QMLP models yield smoother loss surfaces than real-valued neural networks, which are measured and compared using a robust quantitative measure of loss surface “goodness” based on estimates of surface curvature. Extensive computational testing validates the effectiveness of these surface …

Democracy And Defections, Madhav Khosla, Milan Vaishnav

Faculty Scholarship

Within comparative constitutional law, there is an emerging consensus that political fragmentation has weakened political parties and hindered the functioning of legislative bodies. This article examines legal efforts to curb fragmentation in parliamentary systems by prohibiting floor crossing, or “defections” — a constitutional approach that concentrates power within party leaders. It conducts a detailed case study of India, exploring what is arguably the most exten¬sive experiment in anti-defection law and its impact on accountability and representation. The article goes on to analyze similar laws in Israel and South Africa, highlighting the challenges of self-regulation. After evaluating the limitations of narrow …

Urban Flooding: Legal Tools To Address A Growing Crisis, Michael B. Gerrard

Faculty Scholarship

While sea level rise has long received a great deal of attention, another impact of climate change is now getting greater notice — increases in extreme precipitation. As the atmosphere warms, it can hold more moisture; for every increase of one degree Celsius, seven percent more water vapor is carried in the air. When that moisture is quickly released as intense rainstorms, stormwater systems can be overwhelmed, and cities can suffer devastating floods.

The frequency and intensity of heavy precipitation events have increased since the 1950s over most of the world's land areas. One 2023 study — generally consistent with …

Pulsed-Power Neutron Production With Deuterated Polymer Accelerator Targets, Anthony O. Hagey, Juan J. Manfredi, Whitman T. Dailey, S. L. Jackson, E. R. Kaiser, J. W. Schumer

Faculty Publications

This document presents an investigation of the effect of deuterated accelerator targets on the neutron fluence from a local mass injection dense plasma focus (LMIDPF) driven by the United States Naval Research Laboratory's (NRL) Hawk pulsed-power generator. Deuterated targets were made using two methods: a well-established thin-film casting technique for flat targets and a more novel additive manufacturing technique that allowed targets to be three-dimensional (3D) printed in both flat and conical geometries. These targets were then tested during neutron-producing experiments conducted using Hawk, and theneutron fluences measured for the various target types were compared. Additive manufacturing was used as …

Low Power Logic Locking Using Design Space Modeling To Achieve System-Wide Security, Long Lam

Theses

Rising design complexity and smaller technology nodes are escalating fabrication costs, prompting design houses to outsource to untrusted external facilities, which raises trust and privacy concerns. These concerns stem from the risk of security breaches like IP piracy, reverse engineering, and hardware trojans. The critical need to protect design intellectual property prompted the development of logic locking, a combinational hardware security technique that corrupts the functionality of a design without the correct secret key. However, the effectiveness of logic locking varies substantially based on how and where it is implemented within a system, including the specific technique families selected, the …

Novel Methods For Modeling And Treating Biofilm Infections, Emily Lazarus

Theses

Biofilms are responsible for the development of chronic infections, which are 10-1000 times more resistant to antimicrobial agents than two-dimensional (2D) planktonic culture. Traditionally, 2D planktonic cultures are used to study efficacy of antimicrobial treatments but 2D cultures have several shortcomings such as increased sensitivity to treatments, lack of complexity of the three-dimensional (3D) environment, limited host defense mechanisms, and lack the structural thickness of natural biofilms. Biofilm-related infections play a critical role in the delayed healing process of chronic skin wounds, and while treatments for chronic skin wounds exist, including negative pressure wound healing (NPWT), biofilm infections still prevail. …

Improving Adaptation Of Deep Learning With Inductive Bias, Xiajun Jiang

Theses

Human intelligence is strong at adapting to a small number of observations, partially because of the human ability to 1) use given knowledge and 2) distill knowledge from related but different data to guide learning for future tasks, where such ability is the inductive bias during learning. Deep learning shows a promising solution to artificial intelligence. However, generalizing or adapting deep learning models to heterogeneous tasks remains an open question. Existing data-driven models often ignore prior knowledge about the underlying problems of interest, or have limitations in incorporating complex knowledge into neural networks. The one-size-fit-all formula assumes the training and …

An Intelligent Framework For Efficiently Utilizing Distributed Heterogeneous Resources To Improve Hpc Application Performance, Moiz Arif

Theses

High-Performance Computing (HPC) workloads are being widely used to solve complex problems in scientific applications from diverse domains, such as weather forecasting, medical diagnostics, and fluid dynamics simulation. HPC workloads are traditionally executed on baremetal HPC systems, containers, functions, or as workflows or ensembles. These workloads consume a large amount of data and have large memory and storage requirements that typically exceed the limited amount of main memory and storage available on an HPC system. HPC workloads such as deep learning (DL) are executed on platforms such as TensorFlow or PyTorch, are oblivious to the availability and performance profiles of …

Analytical Challenges In Omics Research On Asthma And Allergy: A National Institute Of Allergy And Infectious Diseases Workshop, Supinda Bunyavanich, Patrice M Becker, Matthew C Altman, Jessica Lasky-Su, Carole Ober, Karsten Zengler, Evgeny Berdyshev, Richard Bonneau, Talal Chatila, Nilanjan Chatterjee, Kian Fan Chung, Colleen Cutcliffe, Wendy Davidson, Gang Dong, Gang Fang, Patricia Fulkerson, Blanca E Himes, Liming Liang, Rasika A Mathias, Shuji Ogino, Joseph Petrosino, Nathan D Price, Eric Schadt, James Schofield, Max A Seibold, Hanno Steen, Lisa Wheatley, Hongmei Zhang, Alkis Togias, Kohei Hasegawa

Center for Medical Ethics and Health Policy Staff Publications

Studies of asthma and allergy are generating increasing volumes of omics data for analysis and interpretation. The National Institute of Allergy and Infectious Diseases (NIAID) assembled a workshop comprising investigators studying asthma and allergic diseases using omics approaches, omics investigators from outside the field, and NIAID medical and scientific officers to discuss the following areas in asthma and allergy research: genomics, epigenomics, transcriptomics, microbiomics, metabolomics, proteomics, lipidomics, integrative omics, systems biology, and causal inference. Current states of the art, present challenges, novel and emerging strategies, and priorities for progress were presented and discussed for each area. This workshop report summarizes …

Prescription And Dispensation Of Qt-Prolonging Medications In Individuals Receiving Hemodialysis, Patrick H Pun, Wolfgang C Winkelmayer, Jennifer E Flythe

Faculty, Staff and Students Publications

IMPORTANCE: Individuals with dialysis-dependent kidney failure have numerous risk factors for medication-related adverse events, including receipt of care by multiple clinicians and initiation of some QT-prolonging medications with known risk of torsades de pointes (TdP), which is associated with higher risk of sudden cardiac death. Little is known about the prescription and dispensation patterns of QT-prolonging medications among people receiving dialysis, hindering efforts to reduce drug-related harm from these and other medications in this high-risk population.

OBJECTIVE: To examine prescription and dispensation patterns of QT-prolonging medications with known TdP risk and selected interacting medications prescribed to individuals receiving hemodialysis.

DESIGN, …

Rocscholar Annual Report 2023, Lisa M. Buda

Rochester Regional Health authored publications and proceedings

RocScholar is the institutional repository (IR) for Rochester Regional Health (RRH) and is managed by the Libraries at RRH. It provides storage and access for RRH’s research and scholarly activity. This report highlights the repository’s third year of implementation.

Interstate Highway Connections And Traced Gun Transfers Between The 48 Contiguous United States, Leah Roberts, Mark H Hoofnagle, Brady Bushover, Ariana N Gobaud, Christina A Mehranbod, Carolyn Fish, Christopher N Morrison

2020-Current year OA Pubs

IMPORTANCE: Interstate gun flow has critical implications for gun violence prevention, as gun transfers across state lines can undermine local gun control policies.

OBJECTIVE: To identify possible gun trafficking routes along interstate highways in the US.

DESIGN, SETTING, AND PARTICIPANTS: This repeated-measures, ecological, cross-sectional study used data from the Bureau of Alcohol, Tobacco, Firearms and Explosives from January 1, 2010, to December 31, 2019, to examine associations between interstate connections via 13 highways that each spanned at least 1000 miles and interstate traced gun transfer counts for the 48 contiguous United States. Analyses were completed in November 2023.

EXPOSURES: Characteristics …