Digital Commons Network^™

Comparative Evaluation Of Bending Resistance And Retentive Torque Stability Of Zest Locator® And Straumann Novaloc® Abutments: An In Vitro Study, Hammad Ul Haq

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

Comparative Evaluation of Bending Resistance and Retentive Torque Stability of Zest Locator® and Straumann Novaloc® Abutments: An In Vitro Study

Hammad Ul Haq B.D.S.

Objective: To compare the mechanical performance of Locator® (Zest Anchors) and Novaloc® (Straumann) implant overdenture attachment systems connected to Straumann Bone Level Conical (BLC) implants under standardized cyclic and static off-axis loading conditions.

Materials and Methods: Ten Straumann BLC implants were divided into two groups (n = 5): Group 1 received Locator® abutments and Group 2 received Novaloc® abutments. All abutments were tightened to 35 N·cm and retightened after 10 minutes. Baseline removal torque values …

Plant Invasion Patterns In Understory And Soil Microbial Communities Of North Central West Virginia Mixed Hardwood Forests, Isabelle Marie Uganski

Graduate Theses, Dissertations, and Problem Reports (ETD)

Invasive plants alter forest ecosystems by reducing species richness, habitat heterogeneity, and nutrient cycling as they rapidly displace native plants. Invasive plant composition can influence soil health through altering soil microbial associations and communities. By studying the mechanisms in which invasives alter above- and below-ground communities, we can better understand whole-ecosystem impacts and inform management decisions. This study examined the relationships between co-occurring invasion on above and belowground communities of mixed hardwood forests of north central West Virginia. Despite distinctive associations with aboveground characteristics (native diversity, native tree regeneration, and leaf litter density) we detected limited changes to soil microbial …

Studies On The Depth Formula And On Reducing Dimensions, Brian Mccourt Laverty

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation presents the author’s recent research, conducted under the supervision of Professor Olgur Celikbas, and based on two articles—one published and one in progress. These works develop two closely related research directions in commutative algebra. Together, they contribute to the subject by addressing aspects of existing conjectures, establishing new results, and introducing methods for studying homological invariants.

The first research direction concerns the depth formula, namely the equality \[ \depth_R(M)+\depth_R(N)=\depth(R)+\depth_R(M\otimes_RN) \] where $M$ and $N$ are finitely generated $R$-modules. A classical result of Auslander \cite{Aus} shows that the depth formula holds provided that either $M$ or $N$ has finite …

Student And Teacher Perceptions Of Confirming Behaviors Across Instructional Modalities, April Nicole Wright

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation examined how undergraduate students and instructors evaluate lowinference teacher confirmation behaviors across instructional modalities and identified additional behaviors perceived as confirming in contemporary instructional contexts. Participants included 274 undergraduate students and 104 higher-education instructors who completed a survey measuring four clusters of confirming behaviors (willingness to engage, recognition, acknowledgment, and endorsement) using a 7-point Likert-type scale. Open-ended questions invited participants to describe confirming behaviors not represented in existing measures. Results indicated that both students and instructors rated most behaviors above the midpoint of the scale, with instructional responsiveness and course organization receiving the highest ratings. Instructors rated all …

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

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 …

Microwave Calcination Techniques For Electrode And Electrolyte Powders In Fuel Cells, Logan Scott Proud

Graduate Theses, Dissertations, and Problem Reports (ETD)

This work investigates microwave-assisted calcination as a rapid, energy-efficient alternative to conventional resistive heating for the synthesis of complex oxide powders used in solid oxide electrochemical cells. Ce₀.₉Gd₀.₁O₁.₉₅ (GDC10) and La₀.₆Sr₀.₄Co₀.₂Fe₀.₈O₃–δ (LSCF6428) were synthesized via solid-state and co-precipitation routes to evaluate the influence of precursor chemistry and dielectric behavior on microwave coupling, reaction kinetics, and powder characteristics. Calcination was performed in single-mode and multimode microwave systems using a silicon carbide/alumina susceptor–insulation package to ensure controlled high-temperature processing. A parametric study examining ramp rate, sample size, and temperature revealed that microwave processing reduced calcination time to ~1 hour compared to >21 …

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

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 …

Public Perception Of Using Public Lands For Climate Change Mitigation, Casey Marie Zaitzew

Graduate Theses, Dissertations, and Problem Reports (ETD)

Biological carbon sequestration provides a way to integrate carbon initiatives while meeting sustainable forestry management needs. In the United States, woody plants capture about 13% of annual carbon emissions, highlighting the importance of forests and other ecosystems in national climate strategies.With over 640 million acres of public land, management strategies that incorporate carbon sequestration could significantly influence national carbon storage. Because public lands are taxpayer-funded, public acceptance is critical in carbon-focused policies. While prior studies have examined public attitudes toward carbon capture and storage techniques, fewer studies have focused on biological sequestration within federally managed lands.

This study analyzes public …

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, …

Bi-Level Optimization Of Peer-To-Peer Trading In A Decentralized Energy Market, Marshal Miezah

Graduate Theses, Dissertations, and Problem Reports (ETD)

Distributed power generation based on rooftop photovoltaic (PV) systems integrated with battery storage emerges as a promising pathway for reducing greenhouse gas emissions and im- proving flexibility in modern power systems. This study develops a bi-level optimization model to examine how prosumers maximize profit through peer-to-peer (P2P) energy trading with consumers and the grid, and how consumers minimize cost by leveraging P2P trading. The bi-level problem is reformulated as a single-level mixed-integer programming (MIP) model using Karush- Kuhn-Tucker (KKT) conditions to improve tractability and preserve market-clearing behavior. For the model validation and case study development, prosumer and consumer data are …

How Regulatory Focus Shapes Adjustment And Performance In The Return-To-Office Era: The Roles Of Change Appraisal, Perceived Organizational Support, And Psychological Safety, Karen Jean Morris

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

The COVID-19 pandemic has significantly transformed workplace norms and employee expectations, marking a notable shift towards remote work. As organizations increasingly encourage a return to physical offices, understanding employee adaptation during this transition has become essential. This dissertation leverages Regulatory Focus Theory to explore how employees' promotion and prevention focus influences their adjustment and performance upon re-entering traditional office settings.

A parallel mediation model is proposed, in which Change Appraisal, Perceived Organizational Support (POS), and Psychological Safety (PS) are identified as key mechanisms linking regulatory focus to employee outcomes. The findings may provide evidence that individuals who exhibit a …

Lack Of Disparities In Postoperative Care After Ileocecal Resection In Patients With Crohn's Disease At Tertiary Inflammatory Bowel Diseases Centers, Shannon Coombs, Molly Powell, Kemmian Johnson, Jessica Hu, Mollie Webb, Philip Mcdaniel, Parakkal Deepak, Edward L Barnes

2020-Current year OA Pubs

BACKGROUND: Prior studies suggest that longer drive time (DT) to specialists and higher area deprivation index (ADI) are linked to worse outcomes in inflammatory bowel disease (IBD), but their impact on postileocolic resection (ICR) care in patients with Crohn's disease (CD) is not well defined.

OBJECTIVES: We aimed to evaluate disparities in post-ICR care based on DT and ADI.

METHODS: Spatial analysis was performed with ArcGIS Pro to geocode patient and medical facility addresses with StreetMap Premium locators. High DT was defined as >60 min from the center. Data were analyzed using basic statistics and multivariate logistic regression.

DESIGN: A …

Effect Of A Pregnancy Lifestyle Intervention Embedded Into A Home Visiting Program On Child Neurodevelopment, Sarah S Farabi, Rosemary Bass, Amit Mathur, Cindy Schwarz, Candice Woolfolk, Richard Stein, Samuel Klein, Debra Haire-Joshu, Alison G Cahill

2020-Current year OA Pubs

Maternal obesity is associated with a higher risk of abnormal child neurodevelopment. The aim of this study was to determine the effect of a lifestyle intervention embedded into a home visiting program, Parents as Teachers (PAT), on 18-month neurodevelopment in the offspring. Pregnant women (9-15 weeks) of African American Race, 18-45 years old, first-trimester BMI 25.0-45.0 kg/m

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 …

Application Of Machine Learning To Blood-Based Biomarkers Of Alzheimer's Disease In Down Syndrome, Patrick H Luckett, Melissa Petersen, Sid O'Bryant, Mark Mapstone, Brad T Christian, Benjamin Handen, Elizabeth Head, Beau M Ances, Alzheimer's Biomarker Consortium‐Down Syndrome

2020-Current year OA Pubs

INTRODUCTION: Blood-based biomarkers can improve Alzheimer's disease (AD) characterization in Down syndrome (DS). This study applied hierarchical clustering and machine learning-based feature selection to identify biomarkers associated with disease progression.

METHODS: Cross-sectional blood-based biomarkers were analyzed from 211 DS participants (

RESULTS: The strongest predictors overall were neurofilament light chain (NfL), tau/amyloid beta (Aβ)40, Aβ42/Aβ40, alpha-2-macroglobulin (A2M), and interleukin (IL)-10. Within the CS group, NfL, tau/Aβ40, A2M, and IL-10 were strong predictors. In MCI, Aβ42/Aβ40, NfL, A2M, and IL-10 were strong predictors. In DS-AD, Aβ42/Aβ40, NfL, and tau/Aβ40 were the top predictors. Cluster membership varied based on disease stage.

DISCUSSION: …

Front Matter, Michigan Law Review

Michigan Law Review

Front Matter for Volume 124, Issue 4 of Michigan Law Review

Conspiracy And Social Movements, Steffen Seitz

Michigan Law Review

Conspiracy prosecutions of social movements are on the rise. From anti-“Cop City” protesters in Atlanta to pro-Palestinian protesters in California, prosecutors are increasingly wielding conspiracy law to suppress social movements. This development is troubling. Social movements have long served as vital engines of democratic self-governance; they crystallize issues, foster public discourse, and mobilize citizens. Yet conspiracy law endangers these movements— and thus democracy—by targeting what makes them work: public expression and social ties between activists.

This Article makes three significant contributions to our understanding of this threat. First, it demonstrates that a charge of conspiracy requires remarkably little—just the appearance …

Standard Textualism, James A. Macleod

Michigan Law Review

For as long as legal scholars have been writing about the rules-versus-standards distinction, textualism has been understood to produce characteristically rule-like law. This Article argues for the opposite view. Far from generating the “law of rules” that Scalia famously envisioned, the rule of modern textualism produces a law of standards—much more so than anybody, proponent of textualism or critic, appears to have recognized.

Two aspects of today’s textualism produce this result. The first is its emphasis on ordinary language and communication. Modern textualism typically produces standards because ordinary language and communication are typically standard-like. The second is modern textualism’s drive …

The Law Of The Mid-Transition, Alison Gocke

Michigan Law Review

To address climate change, our energy systems need to transition from fossil fuels to clean energy resources. There is a tendency to think this transition will occur in a linear, seamless progression: We will move from the (old) fossil fuel system at Time A to a (new) clean energy system at Time B. But this belies the reality that an energy transition involves not just building a new energy system, but also unwinding an old one. Crucially, both processes will take time. That means there will be a significant period in which both energy systems coexist.

In the engineering literature, …

Algorithmic Medicine And The Duty To Disclose: Informed Consent Through The Lens Of Radiology, Lee Rodriguez

Michigan Law Review

Informed consent is the law’s mechanism for protecting patient autonomy by requiring disclosure of facts that bear on the decision to accept or refuse care. Artificial intelligence now helps decide what is medically true for patients, yet informed consent law still assumes that diagnostic judgment is rendered by a human mind whose reasoning is at least in principle communicable. Radiology has become the leading setting for this tension. AI systems triage worklists, flag suspected abnormalities, and anchor first-pass impressions in ways that guide radiologists’ attention and, in practice, can coauthor diagnostic conclusions while remaining invisible to patients. When patients are …