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2026

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A Prospective Analysis Of Success And Survival Of Haptic Robotically Driven Dental Implant Placement., Samuel Clarkman Smith Jan 2026

A Prospective Analysis Of Success And Survival Of Haptic Robotically Driven Dental Implant Placement., Samuel Clarkman Smith

Graduate Theses, Dissertations, and Problem Reports (ETD)

Purpose: The aim of this prospective study was to assess survivability of dental implants placed using robotic computer aided implant surgery via Yomi® (Neocis, Inc. Miami, FL) after at least 1 year of functional loading. Secondary analysis included additional success and marginal bone loss outcomes after at least 1 year of functional loading of the same Straumann (Basel, Switzerland) titanium dental implants that were placed with the r-CAIS workflow. Materials and Methods: Since acquisition of the Yomi® robotic system, a comprehensive list of patients who underwent dental implant therapy via r-CAIS methodology at West Virginia University Department of Graduate Periodontics …


Reducing Inorganic Phosphorus In Poultry Diets: Nutritional Constraints And Strategies For Successful Implementation, Elizabeth Ann Lynch Jan 2026

Reducing Inorganic Phosphorus In Poultry Diets: Nutritional Constraints And Strategies For Successful Implementation, Elizabeth Ann Lynch

Graduate Theses, Dissertations, and Problem Reports (ETD)

Applied poultry nutrition and feed manufacture science can be described as a “three-legged stool” supported by pellet quality, feed hygienics, and nutrient availability, where imbalance in any one component can compromise overall bird performance. The research presented herein primarily addresses feed hygienics and nutrient availability, with pellet quality serving as an underlying theme, to better understand how processing conditions and dietary formulation influence performance and nutrient utilization.

In Chapter 2, the objective of this study was to evaluate the effects of hygienizer retention time on bacterial reduction during feed manufacture using Enterococcus faecium as a Salmonella surrogate. Pellet mill motor …


Community Resilience Drives Change, Andrew Thomas Solt Jan 2026

Community Resilience Drives Change, Andrew Thomas Solt

Graduate Theses, Dissertations, and Problem Reports (ETD)

The opioid crisis has impacted many Americans. From 1999 to 2023, approximately 800,000 people have died due to opioid overdose (CDC, 2025). What began as overprescriptions of painkillers has quickly evolved into a complex social health issue that is now further worsened by stronger synthetic drugs like fentanyl. Fentanyl and fentanyl analogs (synthetic opioids that are very similar chemically to fentanyl) are often found in illegal drug supplies and in counterfeit pills (CDC, 2025). Thus, individuals who might have been initially overprescribed painkillers might now be pushed towards illegally produced drugs that are significantly more potent than what they were …


Community Resilience Drives Change, Claudia Rose Dilima Jan 2026

Community Resilience Drives Change, Claudia Rose Dilima

Graduate Theses, Dissertations, and Problem Reports (ETD)

The opioid crisis has impacted many Americans. From 1999 to 2023, approximately 800,000 people have died due to opioid overdose (CDC, 2025). What began as overprescription of painkillers has evolved into a complex social health issue that is now worsened by stronger synthetic drugs like fentanyl. Fentanyl and fentanyl analogs (synthetic opioids that are very similar chemically to fentanyl) are often found in illegal drug supplies and in counterfeit pills (CDC, 2025). Thus, individuals who might have been initially overprescribed painkillers might now be pushed toward illegally produced drugs that are significantly more potent than what they were originally prescribed. …


Enhancing Chime Data Integrity: Utilizing An Ancillary Antenna To Detect And Mask Radio Frequency Interference, John W. Metzger Jan 2026

Enhancing Chime Data Integrity: Utilizing An Ancillary Antenna To Detect And Mask Radio Frequency Interference, John W. Metzger

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Canadian Hydrogen Intensity Mapping Experiment (CHIME) is a radio telescope array designed to map Baryon Acoustic Oscillations (BAO) and detect Fast Radio Bursts (FRBs) within the 400-800 MHz frequency range. However, man-made Radio Frequency Interference (RFI), such as television broadcasts and cellular signals, significantly degrade data integrity and mask weak astronomical signals. This thesis details the design, simulation, and implementation of a slotted waveguide antenna at the Green Bank Outrigger (GBO) to detect and mask RFI. Utilizing cross-correlation, the system identifies similarities between the telescope and the horizon- pointing antenna to isolate interference. Mathematical models were used to determine …


Graded Repertoire For Violin By Latin American Composers: Pedagogical Analysis And Categorization Of Selected Pieces, Irene Guerra Rudas Jan 2026

Graded Repertoire For Violin By Latin American Composers: Pedagogical Analysis And Categorization Of Selected Pieces, Irene Guerra Rudas

Graduate Theses, Dissertations, and Problem Reports (ETD)

Repertoire sequences have evolved from a collection of technical studies into a comprehensive educational framework. This research aims to enhance the integration of innovative pedagogical materials by identifying, analyzing, and categorizing works originally composed for violin by Latin American composers. These works are assessed for their suitability within a structured violin curriculum and organized into graded levels, ranging from elementary to advanced.

Each selected piece is evaluated according to pedagogical parameters commonly used in established violin teaching traditions. These parameters include pitch range, rhythmic complexity, bow strokes, length, stylistic diversity, musical language, and the historical and cultural relevance of both …


Machine Learning-Based Prediction Of Heavy-Duty Diesel Engine Emissions And Comparative Analysis Against Statistical Models, Abdullah Ahmad Khan Jan 2026

Machine Learning-Based Prediction Of Heavy-Duty Diesel Engine Emissions And Comparative Analysis Against Statistical Models, Abdullah Ahmad Khan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The increasing stringency of emissions regulations for heavy-duty (HD) diesel engines necessitates the development of accurate, efficient, and general predictive models for engine-out emissions under steady-state operating conditions. Traditional statistical approaches, while computationally efficient, often fail to capture the inherent nonlinear relationships between the engine operating parameters and emissions formation. In contrast, machine learning (ML) techniques offer a promising alternative by learning the complex patterns directly from experimental data. The present thesis summarizes a comprehensive study on the prediction of steady-state, HD diesel engine emissions using ML models, along with a comparative analysis against conventional statistical modeling approaches.

A high-quality …


A Digital Calibration Source For 21 Cm Cosmology Telescopes, Kalyani Balkrishna Bhopi Jan 2026

A Digital Calibration Source For 21 Cm Cosmology Telescopes, Kalyani Balkrishna Bhopi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Precise calibration of radio telescope beams and gains is a central requirement for 21 cm intensity mapping experiments, which aim to measure large scale cosmological structure through the redshifted emission line of neutral hydrogen. Bright astrophysical foregrounds dominate the sky at these frequencies, and separating them from the cosmological signal demands precise control over instrumental systematics, particularly the telescope beam and its frequency-dependent response. Existing aerial calibration sources are incoherent broadband emitters, detectable only as total power. They provide no direct phase information and suffer from poor sensitivity in low signal-to-noise regimes.

We present the Precision Emitter for 21cm Array …


Ai-Driven Prediction And Reconstruction Of Missing Cased-Hole Logs For Improved Well System Understanding, Samuel Avilez Martinez Jan 2026

Ai-Driven Prediction And Reconstruction Of Missing Cased-Hole Logs For Improved Well System Understanding, Samuel Avilez Martinez

Graduate Theses, Dissertations, and Problem Reports (ETD)

Well logging is a fundamental technique in formation evaluation providing continuous, real-time measurements of geological and petrophysical properties within a well. Through the systematic analysis of well logs, engineers and geoscientists can accurately determine critical formation characteristics, including porosity, permeability, lithology, and fluid composition. Well logging is fundamental for making informed decisions and reducing uncertainties in the exploration and development of oil and gas reservoirs.

Despite its significance, the acquisition of reliable well log data in oil and gas wells is often compromised by various operational, mechanical, and formation-related challenges, as well as pressure, fluid, and equipment constraints. In high-risk …


Simulation Optimization Of Intermodal Freight Transportation Under Disruptions, Israt Humayra Jan 2026

Simulation Optimization Of Intermodal Freight Transportation Under Disruptions, Israt Humayra

Graduate Theses, Dissertations, and Problem Reports (ETD)

Rapid growth in freight transportation in modern supply chains has led to increased operational costs, congestion, and severe environmental impacts, especially greenhouse gas emissions. Combining different modes, such as highway, railway, and waterway, intermodal transportation could thus offer considerable benefit to improve efficiency, sustainability, and resilience. However, most existing planning approaches rely on simplified assumptions, fixed schedules, and average cost estimates, making them less relevant to dealing with real-world uncertainties and disruptions. This study develops a simulation-optimization framework for intermodal freight transportation under disruption. We develop a mixed-integer programming model to represent an intermodal logistics planning framework on a multi-layered …


Do You Walk On By? The Effects Of Donor Fatigue On Willingness To Donate, Shawn Michael Henry Jan 2026

Do You Walk On By? The Effects Of Donor Fatigue On Willingness To Donate, Shawn Michael Henry

Graduate Theses, Dissertations, and Problem Reports (ETD)

Donation solicitation literature validates the successful usage of various solicitation tactics that lead to achieving set donation goals for their associated cause. Yet, while the financial success of “checkout charity” is well-documented, a significant gap remains regarding the impact of high-frequency solicitations on long-term consumer-brand relationship. This research addresses this gap. Over the span of three surveys, this study finds that donation request frequency overall erodes donation likelihood through donor fatigue when donation frequency changes (occasional vs. always). However, this relationship is moderated by the perceived consumer base, with a larger perceived consumer base exacerbating the “diffusion of responsibility.” Further, …


Reliability Of Remote Self-Administered Web-Based Digital Cognitive Measures And Comparison To In-Person Neuropsychological Tests: Stricker Learning Span, Symbols Test, And The Mayo Test Drive Screening Battery Composite, Morgan A Hughes, Jason Hassenstab, Et Al. Jan 2026

Reliability Of Remote Self-Administered Web-Based Digital Cognitive Measures And Comparison To In-Person Neuropsychological Tests: Stricker Learning Span, Symbols Test, And The Mayo Test Drive Screening Battery Composite, Morgan A Hughes, Jason Hassenstab, Et Al.

2020-Current year OA Pubs

INTRODUCTION: We describe the reliability of remote self-administered digital cognitive measures completed via the Mayo Test Drive (MTD) web-based platform.

METHODS: A total of 1846 participants (mean age = 70, SD = 12, range 31-101; 48% male; 96% White; 99% non-Hispanic; 97% cognitively unimpaired) with two to four complete MTD sessions at ∼7.5-month intervals were included. Test-retest reliability was assessed using single-rating, absolute-agreement, and two-way mixed intraclass correlation coefficients (ICCs) with 95% confidence intervals. ICCs for in-person-administered traditional neuropsychological measures were compared to MTD for a subset of 244 participants. Analyses also compared reliability across demographic, residential, and session context …