Digital Commons Network^™

Rainfall-Runoff Modelling In An Indonesian Humid Tropical Area Using Satellite-Based Precipitation Products, Noordiah Helda

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This dissertation explores three rainfall-runoff models in the humid tropical regions of Indonesia using satellite-based precipitation products (SBPPs) and develops integrated machine-learning modeling frameworks. Several ground-based observations from BMKG (Badan Meteorologi, Klimatologi, dan Geofisika (also known as the Indonesian Agency for Meteorology, Climatology, and Geophysics)) stations across Indonesia (133−165 stations) are compared and evaluated against satellite products, indicating that GPM performs well, with R-squared values ranging from 0.54 to 0.76 and correlation coefficients ranging from 0.45 to 0.69, respectively.

In the Martapura Watershed, South Kalimantan, due to a lack of observational discharge data, streamflow was generated using the FJ Mock …

Public Perceptions Of Leadership Effectiveness In Ethiopia Over The Last Decade, Fikadu Reta Alemayehu

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Ethiopia is one of the largest countries in Africa, with a fast-growing economy, rich history, diverse agroecology, more than 70 languages, and a population exceeding 130 million. However, the country continues to face serious internal conflict, high malnutrition, and economic hardship, while the study of leadership effectiveness remains limited and lacks consistent longitudinal research. To help fill this gap, this study examined how public perceptions of leadership effectiveness and development outcomes changed in Ethiopia between 2013 and 2023, using Afrobarometer survey data. The analysis explored how citizens’ views about governance, wellbeing, and access to services evolved during a decade of …

Assessing Crop Rotation Productivity, Soil Health, And Fertility, And Economic Performance, To Enhance Semi-Arid High Plains Cropping Systems Sustainability, Ezequiel Maria Villamil

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Sustainable crop production in the semi-arid High Plains of Nebraska faces challenges from limited precipitation, high interannual variability, and economic risk. This dissertation investigates the long-term productivity, water use, soil health, and economic sustainability of dryland crop rotations, with emphasis on the role of pulses as alternatives to fallow.

Chapter 1 analyzes nearly three decades (1995–2023) of on-farm data from the High Plains Agricultural Laboratory (Sidney, Nebraska) to compare seven crop rotations, including wheat, corn, millet, sunflower, and field peas. Results showed that wheat–corn–fallow (W–C–F) consistently outperformed traditional wheat–fallow (W–F) and more intensified four-year rotations, providing the highest grain yields, …

Resources For The Beginning And Intermediate Jazz Educator: Reviews Of Modern Resources And Implementation In The Classroom, Bryan Canonigo

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This document is a compilation and discussion of different modern jazz education resources geared towards beginning and intermediate students. It is intended for the younger high school jazz educator who may have just started their careers and are searching for new(er) resources to aid their teaching and rehearsal techniques. For the seasoned high school jazz educator, this document may suggest additions to their current lesson plans and/or updates to their current resource compilations and rehearsal practices. A primary goal of this document is to suggest ideas to aid these educators in teaching jazz music more wholistically, in small or large …

Development Of Databases For Glycan Utilization And Anti-Prokaryotic Defense In Microbiomes, Yuchen Yan

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Microbiomes in humans, animals, plants, and other environments are necessary components of the biosphere for global nutrient cycling and maintaining ecosystem balance. In particular, the gut microbiome plays an essential role in modulating human health through glycan utilization. Carbohydrate-active enzymes (CAZymes), CAZyme gene clusters (CGCs), and polysaccharide utilization loci (PULs) are key genomic features that determine microbial capacities for carbohydrate metabolism. Meanwhile, the arms race between phages and prokaryotes has led to the evolution of various anti-prokaryotic immune systems (APIS) in phages to counteract prokaryotic immune systems (PIS).

As bioinformatics methods used to analyze microbiome information advance rapidly, there is …

Advancing Precision Agriculture Through The Application Of Remote Sensing Technologies In Plant Health Assessment, Thomas Wilbur Davis

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Monitoring plant health, including nutritional status assessment, is an important component of crop management decisions. This doctoral document addresses the use of agricultural remote sensing through focused investigations of plant disease detection and nutrient status assessment technologies that advance precision agriculture. The first chapter provides a comprehensive overview of remote sensing technologies in agriculture and examines current capabilities, limitations, and future directions. The final two chapters address studies that evaluated the virus-nitrogen interaction in wheat and compared methods to determine the nitrogen status of midseason field corn.

The first study evaluated the wheat streak mosaic virus (WSMV) × nitrogen interaction …

Detecting Prescribed Fire, Haying And Grazing Events Via Remote Sensing To Create Grassland Disturbance Landcovers For The Ring-Necked Pheasant (Phasianus Colchicus), Megan A. Baldissara

School of Natural Resources: Dissertations, Theses, and Student Research

This dissertation developed disturbance detection models to fulfill the need for remote sensing landcover products describing grassland structure. The use of landcover products derived from remote sensing is increasing over time in pheasant (Phasianus colchicus) research. Such landcover, however, does not provide relevant pheasant structural habitat information (Chapter 1). Pheasants require tall, high-density grassland for nesting, tall grassland with medium density for brood rearing, and tall grassland for wintering. Time since disturbance can serve as a proxy for structure, as it shapes vegetation by removing biomass and resetting succession. Disturbance is easier to detect than structure with current …

On Bayesian Empirical Likelihood-Based Method For Complex Survey Data With Application To Non-Probability Sampling, Md Hasibur Rahman

Department of Statistics: Dissertations, Theses, and Student Research

This thesis develops a Bayesian empirical likelihood (BEL) framework for inference under complex survey designs and extends it to non-probability sampling. Parametric likelihood based methods are difficult to apply to complex survey data because the likelihood is rarely available in closed form. EL provides a flexible alternative by replacing the parametric likelihood with an empirical likelihood constructed from moment conditions. The proposed method first integrates empirical likelihood constraints with survey design features then extends BEL to non-probability sampling through selection models and design consistent restrictions. Posterior inference is carried out using a Metropolis–Hastings MCMC algorithm. A real-data analysis further illustrates …

Brands & Virtual Personas: How Virtual Influencer Types Impact Brand Awareness, Carol Calderon Ambelis

Department of Textiles, Merchandising and Fashion Design: Dissertations, Theses, and Student Research

As social media continues to shape how consumers interact with brands, virtual influencers (VIs) have emerged as a new type of digital celebrity. While previous research has explored how VIs contribute to brand image and awareness, there has been limited attention on how different types of VIs, both anime-like and human-like, affect consumer perceptions across different markets. This study examines how these two types of VIs impact relatability, aspiration, and brand awareness, with a focus on the differences between luxury and mass market. Using a within-subjects experimental design, this study recruited 574 participants with social media experience using MTurk. The …

The Role Of Peroxisomal Acot4 And Acot8 In Modulating Lipid Metabolism And Stress Pathways In Steatotic Hepatocytes, Sylwia Miekus

Department of Nutrition and Health Sciences: Dissertations, Theses, and Student Research

Metabolic dysfunction-associated steatotic liver disease (MASLD) is characterized by excessive lipid accumulation in hepatocytes and the development of lipotoxic stress that disrupts cellular homeostasis. Peroxisomal lipid metabolism plays an important role in maintaining acyl-CoA balance during fatty acid overload, yet the contribution of peroxisomal acyl-CoA thioesterases to early lipotoxic responses remains insufficiently understood. The aim of this study was to investigate the functional involvement of the peroxisomal enzymes acyl-CoA thioesterase 4 (ACOT4) and acyl-CoA thioesterase 8 (ACOT8) in hepatocyte lipid handling under acute lipotoxic conditions. An in vitro model of steatosis was established in AML12 cells through exposure to a …

Prevalence Of Cytauxzoon Felis In Ticks From South-Central Kansas And Northwest Arkansas, Nicole E. Mcilvain

Animal Science Undergraduate Honors Theses

Cytauxzoon felis is a protozoan that causes an often-fatal illness in felines known as cytauxzoonosis, or bobcat fever. Ticks are vectors of this pathogen, with Amblyomma americanum being the most common vector. Previous studies have noted a correlation between peak tick season and peak cytauxzoonosis diagnosis. For cytauxzoonosis, minimal treatments exist, and scientists have not found a cure, which is why focus needs to be on preventing disease. Knowledge on the prevalence of C. felis in different tick species helps veterinarians and pet owners be aware of the potential for their cat developing cytauxzoonosis if one or more ticks are …

Exploring The Relationship Between Social Media And Anxiety In Deaf Community Students: A Mixed-Methods Approach., Gigi Zheng

Theses

The mental health of Deaf individuals, particularly in relation to social media engagement, is an understudied area amid growing global concerns about anxiety disorders. Deaf individuals face unique challenges, including communication barriers, social isolation, and stigma, all of which can heighten anxiety levels. Although social media offers valuable opportunities for connection and self-expression, it may also amplify stress and feelings of inadequacy when accessibility barriers persist. This mixed-methods study examined anxiety among Deaf college students and explored the cultural validity of two widely used anxiety measures—the State-Trait Anxiety Inventory (STAI) and the Beck Anxiety Inventory (BAI). Quantitative data were collected …

Prevention Of Burnout Among Critical Care Nurses, Jenelle Balaoing, Junela Bautista

Nursing | Student Research Posters

Background: Nursing burnout is a state of mental and physical exhaustion caused by excessive stress among nurses. Critical care nurses face challenges with direct patient care that contribute to emotional and psychological strain that are greatly influenced by workplace adversity and emotional management. Purpose: This research examines the prevalence of burnout among pediatric and adult intensive care unit (ICU) nurses, highlighting particularly high rates of burnout among those with extended years of service. Method: ICU nurses will participate in a qualitative interview that involves open ended questions relevant among burnout and resilience during shifts. Aspects specifically years of critical experience …

Air Force Institute Of Technology Research Report 2023, Air Force Institute Of Technology

AFIT Documents

This report summarizes the research activities of the Air Force Institute of Technology's Graduate School of Engineering and the Graduate School of Logistics and Acquisition Management. It describes research interests and faculty expertise; list student theses/dissertations; identifies research sponsors and contributions; and outlines the procedure for contacting either school.

Princesses & Unicorns, Children's Health

Book Recommendations

Book recommendation list from the digital library collection focused on the topic of princesses and unicorns.

Efficient Algorithms For Mitigating Uncertainty And Risk In Reinforcement Learning, Xihong Su

Doctoral Dissertations

Reinforcement learning~(RL) studies the methodologies of improving the performance of sequential decision-making for autonomous agents and has achieved remarkable success in domains such as games, robotics, autonomous systems, finance, and healthcare. The Markov Decision Process~(MDP) is a mathematical framework for modeling agent-environment interactions in sequential decision-making problems. There are two primary sources of uncertainty in RL: epistemic uncertainty and aleatoric uncertainty. In RL, risk refers to the potential for an agent's policy to lead to undesirable outcomes, especially when the environment is uncertain. In many domains, researchers seek policies that maximize the objectives while mitigating the uncertainty and risk in …

Evaluating The Role Of Seaweeds In Dairy Production: Impacts On In Vitro Ruminal Fermentation, And In Vivo Mineral Utilization And Metabolic Status, William Mitchell Sims

Doctoral Dissertations

Dietary inclusion of seaweed in ruminant diets has been studied for more than 5 decades. Early research in seaweed focused primarily on potential health benefits, but recent interest has shifted the paradigm for its use as a nutritional tool to mitigate greenhouse gas emissions. As new seaweeds are identified for their ability to reduce gas emissions, the pendulum will swing once more to understand the impact seaweeds have on ruminant health and production. The overall objective of this dissertation is to investigate digestibility and fermentation, as well as alterations in metabolic and mineral status in ruminants fed various seaweed species. …

Development And Characterization Of Bulk Dsdna-Based Materials Using Biologically Derived Plasmid Dna, Wynter Amythyst Paiva

Doctoral Dissertations

Double-stranded DNA (dsDNA) exhibits many unique sequence-independent properties that remain underutilized in materials science. The exceptional length, solubility, biocompatibility, imageability, molecular recognition capabilities, and topological control of DNA makes it an ideal candidate for the creation of bespoke biomaterials and investigation of fundamental relationships in polymer physics. Unfortunately, translation of DNA-based materials from the microscale to macroscale has been hindered by source constraints and limitations in chemical modification of biologically derived DNA. This work seeks to expand the utility of dsDNA from the benchtop to real world applications. Establishing dsDNA as a commodity polymer will aid in the development of …

Open Repository @ Binghamton Monthly Additions And Top Downloads - November 2025, Caitlin Holton

Library Created Resources

Newly added work in the Open Repository @ Binghamton (ORB) from 11/1/2025-11/30/2025. Top downloads from same time frame.

December 2025, Pacific Alumni Association

Alumni News & Events

No abstract provided.

An Analytics Framework For Healthcare Expenditure Forecasting With Machine Learning, John Wang, Shubin Xu, Yawei Wang, Houda El Bouhissi

Department of Hospitality and Tourism Faculty Scholarship and Creative Works

The United States healthcare system relies heavily on Medicaid, which serves nearly 80 million people and accounts for a substantial share of both state and federal budgets. This study employs a range of forecasting methods, including ARIMA, Holt's linear trend, polynomial regressions (degree 2 and 4), Prophet, and piecewise linear regression, as well as machine learning models such as random forest, gradient boosting, and support vector regression, to analyze the growth of Medicaid expenditures. Using data from 1966 to 2024, the analysis identifies historical patterns and evaluates model performance with Root Mean Squared Error (RMSE) and related metrics to project …

Cdk8/19 Inhibition Attenuates G1 Arrest Induced By Bcr-Abl Arrest Induced By Bcr-Abl Antagonists And Accelerates Death Of Chronic Myelogenous Leukemia Cells, Alvina I. Khamidullina, Margarita A. Yastrebova, Alexandra V. Bruter, Julia V. Nuzhina, Nadezhda E. Vorobyeva, Anastasia M. Khrustaleva, Ekaterina A. Varlamova, Alexander V. Tyakht, Iaroslav E. Abramenko, Ekaterina S. Ivanova, Maria A. Zamkova, Jing Li, Chang-Uk Lim, Mengqian Chen, Eugenia V. Broude, Igor B. Roninson, Alexander A. Shtil, Victor V. Tatarskiy

Faculty Publications

Imatinib mesylate (IM) and other BCR-ABL tyrosine kinase inhibitors (BCR-ABLi) are the mainstay of chronic myelogenous leukemia (CML) treatment. However, activation of circumventing signaling pathways and quiescence may limit BCR-ABLi efficacy. CDK8/19 Mediator kinases have been implicated in the emergence of non-genetic drug resistance. Dissecting the effects of pharmacological CDK8/19 inhibition on CML survival in response to BCR-ABLi, we found that a selective, non-toxic CDK8/19 inhibitor (CDK8/19i) Senexin B (SenB) and other CDK8/19i sensitized K562 cells to different BCR-ABLi via attenuation of cell cycle arrest. In particular, SenB prevented IM-induced upregulation of genes that negatively regulate cell cycle progression. SenB …

Regional Analysis Changes In The Salt Marsh: How The Past Is Influencing The Present, Elizabeth May Gorrill

Master's Theses and Capstones

Salt marshes are critical coastal wetlands that provide valuable ecosystem services including coastal erosion control, carbon sequestration, water quality improvement, fisheries habitats, and recreational and economic opportunities for coastal communities. To better understand salt marshes and the changes occurring within the systems due to environmental and human factors, monitoring of established sites is conducted to look at variables such as vegetation cover, elevation, fauna, and vertical accretion. Methodological differences amongst monitoring efforts can result in data that has differing implications when analyzed and interpreted, so documentation of protocols (and any deviance from them) is imperative when bringing together datasets. The …

Digital Commons News: Updated Author Dashboard Available On Digital Commons, Alice Sherwood

TMC Library Newsletter (2015-)

No abstract provided.

Improving Pharmacovigilance Via Systematic Gass Screening And Interdisciplinary Collaboration In The Outpatient Setting, Dustin Bower

Doctor of Nursing Practice Projects

The goal of this Doctor of Nursing Practice (DNP) quality improvement project was to enhance pharmacovigilance practices among non-medical mental health providers (NMMHPs) in an outpatient psychiatric setting. The project addressed the issue of limited recognition and reporting of adverse drug reactions (ADRs) by NMMHPs, which can lead to delays in clinical intervention and compromise patient safety. To tackle this problem, a quasi-experimental, pre–post intervention design was employed. Two evidence-based strategies were implemented: (a) eight weekly collaborative training sessions that focused on identifying, documenting, and communicating ADRs, and (b) the integration of the Glasgow Antipsychotic Side-Effect Scale (GASS) into the …

Enhancing Provider Knowledge And Compliance With Diabetic Retinopathy Screening Through Education: A 4-Week Plan, Maureen Odemena

Doctor of Nursing Practice Projects

Diabetic retinopathy (DR) is a leading cause of vision impairment that can be prevented if found and treated early. Inadequate provider knowledge and adherence to guidelines, and low referral rates for screening at the project site, highlighted the need for targeted training. Studies show that evidence-based education plans improve engagement in DR screening. This quality improvement (QI) project aimed to impact knowledge, self-efficacy, and compliance among healthcare providers (HCPs—nurse practitioners and physicians) and increase screening rates by implementing an American Diabetes Association (ADA) guideline-based education plan over 4 weeks. Based on the health belief model and Kurt Lewin’s change theory, …

Quality Improvement Project: Empowering Nurse Educators: Implementing A Mentoring Program For Professional Growth, Sarah Sugg

Doctor of Nursing Practice Projects

With the ongoing nursing shortage, nursing education plays a vital role in shaping the future of healthcare through the preparation of competent and skilled nurses. Literature supports that a persistent challenge within nursing academia is the lack of structured mentoring programs to support novice nursing faculty transitioning into academic roles. This quality improvement project addressed this gap through the implementation of a structured, evidence-based mentoring program compared to informal mentoring. The purpose of the project was to empower novice nursing faculty with less than three years of teaching experience by enhancing teaching competence, confidence, job satisfaction, and retention. Guided by …

Quality Improvement Project: Increasing Breast Cancer Screening Rates Among Women Ages 40-74 At A Federally Qualified Health Center By Implementing A Provider Alert Tool, Tiny Stephens

Doctor of Nursing Practice Projects

Breast cancer maintains its position as the leading cause of cancer-related death for women worldwide and remains the second deadliest cancer among female patients in the United States (Centers for Disease Control, 2024). The screening rates at Federally Qualified Health Centers (FQHCs), which serve medically underserved communities, remain lower than national benchmarks, thus putting their patients at risk for receiving late-stage cancer diagnoses. This quality improvement project implemented an evidence-based electronic medical record (EMR) provider alert tool at a Northeast Georgia FQHC to address a baseline mammogram order compliance rate falling below national standards at 45%. The project aimed to …

Quality Improvement Project Nursing Student Retention Strategies: A Focus On Peer Mentoring, Anh Vittoria

Doctor of Nursing Practice Projects

The nursing shortage remains a concern in healthcare. Increasing the number of students who complete nursing programs and enter the profession can help with the demand for nurses in the workforce. Nursing programs face challenges with student retention, which limits the number of nurses entering the profession. The quality improvement project aimed to examine the effects of a peer mentorship program on first-year associate degree nursing students’ perception of support and course completion rates. The purpose is to impact student retention and sense of support in an Associate Degree Nursing Program (ADN) through peer mentorship. The project was guided by …

Quality Improvement Project Enhancing Documentation Practices In Community Mental Health Clinics, Carol Parker

Doctor of Nursing Practice Projects

Accurate and timely documentation are essential for safe, high-quality care in community mental health settings. This quality improvement (QI) project addressed inconsistent documentation practices among licensed, unlicensed, and Qualified Mental Health Specialist (QMHS) staff at an outpatient clinic. The purpose of the QI project was to implement and assess a structured in-service training program using the Accountable Health Communities–Health-Related Social Needs (AHC-HRSN) screening and documentation tool to improve staff knowledge, enhance documentation accuracy, and facilitate care coordination. Guided by the Iowa Model of Evidence-Based Practice and Lewin’s Change Management Model, a pre- and post-intervention design was used. Fifteen staff members …