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Articles 53881 - 53910 of 1791776
Full-Text Articles in Entire DC Network
Soil Characterization With Proximal Geophysics, Sophia M. Becker
Soil Characterization With Proximal Geophysics, Sophia M. Becker
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
High quality soil data is crucial for addressing numerous threats to human well-being such as water scarcity, food insecurity, and intensified natural disasters. True soil property values are determined by analyzing soil samples in a laboratory, but soil sampling is often expensive and time-consuming. Some in-field point sensors and remote sensing products are available to measure soil properties, but they have inherent limitations in measurement extent and resolution. Geophysical methods can fill the measurement scale gap between point measurements and remote sensing products, but various research questions remain open. This dissertation aims to advance understanding of geophysics-derived soil property measurements …
Ai-Enabled Robotic Nitrogen Management, Ankita Kalra
Ai-Enabled Robotic Nitrogen Management, Ankita Kalra
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Nitrogen management in corn agriculture faces economic and environmental challenges, motivating development of precision, site-specific solutions. This dissertation presents AIR-N (AI-Enabled Robotic Nitrogen Management), a novel system that integrates cloud-based artificial intelligence with an autonomous field robot (Flex-Ro) to optimize nitrogen fertilizer application in real time. The research is driven by the need to improve nitrogen use efficiency while reducing leaching and emissions.
Comprehensive architecture (Cloud-E) was designed using Amazon Web Services to ingest multi-modal agronomic data (soil sensors, crop reflectance, weather) and host machine learning models. A Random Forest-based model was trained on historical field data to predict spatially …
From Vision To Practice: Implementing An Instructional Model Through Teacher Experience And Leadership Support, Stefanie Novotny
From Vision To Practice: Implementing An Instructional Model Through Teacher Experience And Leadership Support, Stefanie Novotny
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Implementing change in any organization is challenging. It requires careful planning, effective communication, and strong leadership. Principals provide support and empower stakeholders to take ownership of the change process. They create opportunities for others to contribute ideas, take on leadership roles, and drive innovation, fostering a culture of shared responsibility and collective action. Change leaders inspire creativity and encourage teachers to think outside the box, leading to the development of new ideas and processes that drive growth and success. This mixed-methods action research study investigated how teachers can enhance educational practices by implementing an instructional model to improve teaching strategies …
Evaluating Fall And Spring Planted Cover Crops For Integrated Management Of Herbicide Resistant Palmer Amaranth And Effect On Soil Health, Vipin Kumar
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Herbicide-resistant Palmer amaranth (Amaranthus palmeri S. Watson) pose a severe threat to agronomic crop productivity in the United States, including corn and soybean production in Nebraska. Therefore, there is an urgent need for diversified and sustainable management approaches. Integrating cover crops (CCs) with herbicide programs represents a promising strategy to achieve Palmer amaranth suppression, sustain crop yields, and contribute to long-term soil health in irrigated corn–soybean production systems in Nebraska.
A meta-analysis of 41 studies and 595 paired observations demonstrated that CCs reduced Amaranthus spp. density and biomass by 37–59% depending on the growing season, with grasses and mixtures …
Synthesis And Study Of Stable Organic Radicals For Mri Contrast Agents And New Materials, Sabina Dhakal
Synthesis And Study Of Stable Organic Radicals For Mri Contrast Agents And New Materials, Sabina Dhakal
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
The first part of this dissertation focuses on the design, synthesis, and characterization of a thermally robust S =1/2 phototetrazolinyl monoradical and the development of synthetic methodologies for a high-spin (S = 1) phototetrazolinyl diradical. Electrochemical studies of the phototetrazolium cation (precursor to the monoradical) revealed a remarkably narrow electrochemical band gap (Ecell ≈ 0.82 V), suggesting promising electrical conductivity. Thermal analysis of the monoradical demonstrated excellent stability, with the onset of decomposition at 232 °C. Building on the excellent thermal stability and promising properties for electrical conductivity of the monoradical, we developed two condensation-based synthetic routes that provide viable …
Rainfall-Runoff Modelling In An Indonesian Humid Tropical Area Using Satellite-Based Precipitation Products, Noordiah Helda
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
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 …
Large-Scale Experimental Study On The Impact Of Air Cleaning & Ventilation On Indoor Air Quality And Student Illness-Related Absenteeism, Daud Nosham
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
This large-scale randomized experimental field study investigated the effect of portable air purifiers (PAPs) on classroom’s air quality and student’s illness related absenteeism. PAPs were installed in 317 classrooms from various school districts located in Eastern Nebraska. The classrooms were randomly assigned into four conditions: three treatment conditions (T1, T2 & T3) and one control condition (device without any filter). T1 was equipped with HEPA filters, T2 added Activated Carbon (AC) layer to HEPA, and T3 further integrated Germicidal Ultraviolet (GUV) alongside HEPA and AC filters. The measured variables were carbon dioxide (CO2), fine particles (PN2.5) and coarse particles (PNcoarse), …
Assessing Crop Rotation Productivity, Soil Health, And Fertility, And Economic Performance, To Enhance Semi-Arid High Plains Cropping Systems Sustainability, Ezequiel Maria Villamil
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
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
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
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
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
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
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 …
Undergraduate Awareness Of Sexual Harassment Law In Tanzania's Higher Learning Institutions: Case Studies Of Two Universities, Salma Ramadhan Fundi Phd Candidate
Undergraduate Awareness Of Sexual Harassment Law In Tanzania's Higher Learning Institutions: Case Studies Of Two Universities, Salma Ramadhan Fundi Phd Candidate
Tanzania Journal of Sociology
This study examines undergraduate students' awareness of legal provisions and guidelines concerning sexual harassment in Tanzanian higher education, focusing on the University of Dar es Salaam (UDSM) and the Open University of Tanzania (OUT) as case studies. Sexual harassment significantly impacts students’ well-being, safety, and academic success. Despite the existence of legal frameworks, students' knowledge of these provisions is often limited. The study employed a qualitative approach with a phenomenological research design to explore students’ experiences and perceptions of harassment policies. This design allowed participants to share the meanings they attach to their experiences and how such policies are understood …
The Role Of Peroxisomal Acot4 And Acot8 In Modulating Lipid Metabolism And Stress Pathways In Steatotic Hepatocytes, Sylwia Miekus
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
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
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
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
Princesses & Unicorns, Children's Health
Book Recommendations
Book recommendation list from the digital library collection focused on the topic of princesses and unicorns.
Complete Volume 42
Journal of the Association for Communication Administration
This is the complete Volume 42 of the Journal of the Association for Communication Administration.
Efficient Algorithms For Mitigating Uncertainty And Risk In Reinforcement Learning, Xihong Su
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
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. …
Focal Engine: Filling A Gap Between Game Engines And Big-Data Scientific Visualization Packages, Kindrat Beregovyi
Focal Engine: Filling A Gap Between Game Engines And Big-Data Scientific Visualization Packages, Kindrat Beregovyi
Doctoral Dissertations
This dissertation presents Focal Engine, a novel 3D visualization engine designed to bridge the gap between game engines and scientific visualization tools. Game engines offer accessible interfaces and high-performance rendering but struggle with large-scale scientific datasets, while tools like ParaView and VTK handle complex data structures effectively but lack intuitive editing capabilities and modern rendering features. Focal Engine combines the accessibility and rendering performance of game engines with the data handling capabilities and analytical tools of scientific visualization platforms. The engine's capabilities are validated through multiple applications and projects, for example: HabiCAT 3D performs 3D complexity measurements on ocean floor …
Development And Characterization Of Bulk Dsdna-Based Materials Using Biologically Derived Plasmid Dna, Wynter Amythyst Paiva
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
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
An Analytics Framework For Healthcare Expenditure Forecasting With Machine Learning, John Wang, Shubin Xu, Yawei Wang, Houda El Bouhissi
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 …