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Genomics Insights Into The Biogeography And Evolution Of Galapagos Iguanas Using Radseq And Wgseq Techniques, Cecilia Paradiso Dec 2025

Genomics Insights Into The Biogeography And Evolution Of Galapagos Iguanas Using Radseq And Wgseq Techniques, Cecilia Paradiso

Theses and Dissertations

The Galápagos archipelago is known for its unique endemic fauna shaped by isolation and geological dynamism. This thesis explores the evolutionary history of Galápagos iguanas, a monophyletic group comprising the marine iguana (Amblyrhynchus cristatus) and three land iguanas: Conolophus marthae, C. pallidus, and C. subcristatus. These species differ in distribu- tion, population size, and conservation status, with C. marthae classified as Critically Endan- gered due to its restricted range and small population. The main goal of this thesis is to fill knowledge gaps concerning the evolutionary trajectories, demographic histories, and genetic var- iability of Galápagos iguanas. The first chapter reconstructs …

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Exploring The Impact Of Incorporating Artificial Intelligence Integrated Systems In The Workplace, Catherine Cruz Agosto Noda Dec 2025

Exploring The Impact Of Incorporating Artificial Intelligence Integrated Systems In The Workplace, Catherine Cruz Agosto Noda

Theses and Dissertations

This study focuses on assessing the impact of incorporating systems integrated with in the workplace by assessing the constructs of usability, cognitive load, and trust. The constructs are assessed by generation and experience level to determine which factors are relevant in a workplace setting. A workplace scenario was simulated by asking participants to complete tasks where they assumed the role of a warehouse manager assigned with assessing two scheduling systems – one with artificial intelligence and one without artificial intelligence. The participants were presented with three tasks of increasing difficulty for each prototype. Both quantitative and qualitative measures were used …

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Spectral Methods And Wavelets In Quantitative Finance Problems, Davood Damircheli Dec 2025

Spectral Methods And Wavelets In Quantitative Finance Problems, Davood Damircheli

Theses and Dissertations

This dissertation leverages advanced spectral methods and wavelet techniques to address complex quantitative finance models, enhancing the computation of financial derivatives and risk assessments. Building on foundational studies, this research extends these methods to broader, intricate financial contexts. The first section explores fractional-order generalized Chebyshev wavelets (FOCW) applied to fractional advection equations, relevant in both mathematics and physics. Using a regularized beta function to compute the Riemann-Liouville fractional integral operator, this study introduces a novel numerical scheme with robust accuracy, confirmed through error analysis and empirical tests. The second part examines the fractional Black-Scholes equations for option pricing under subdiffusive …

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Optimizing Military Fighter Jet Selection: A Decision Analysis Approach For Nuclear-Capable Aircraft, Eni Kelechi Ofong Dec 2025

Optimizing Military Fighter Jet Selection: A Decision Analysis Approach For Nuclear-Capable Aircraft, Eni Kelechi Ofong

Theses and Dissertations

This research investigates the strategic decision-making process involved in selecting a nuclear-capable fighter aircraft for NATO (North Atlantic Treaty Organization) nations in Europe. In adaptation to the continuously changing technology landscape and the necessity for enhanced deterrence capabilities, this study evaluates three potential aircraft: the legacy Panavia Tornado (PA-200), the widely deployed F-16 Fighting Falcon (F-16), and the advanced F-35 Lightning II (F-35). Each platform presents distinct advantages and limitations regarding operational performance, mission adaptability, cost-effectiveness, and long-term sustainability. To systematically assess these alternatives, the study employs various decision analysis frameworks, including Multi-Criteria Decision Analysis (MCDA), single dimensional value function …

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Assessing Native Bee (Hymenoptera: Anthophila) Community Responses To Seasonal Wetland Management And Red Imported Fire Ants (Solenopsis Invicta) In Mississippi, Haley Michelle Hughes Dec 2025

Assessing Native Bee (Hymenoptera: Anthophila) Community Responses To Seasonal Wetland Management And Red Imported Fire Ants (Solenopsis Invicta) In Mississippi, Haley Michelle Hughes

Theses and Dissertations

Seasonal wetlands support the biological needs of diverse migratory and wintering waterbird species across the southern United States. Management of seasonally flooded impoundments often involves water management and soil and vegetation disturbances to promote early successional plant communities yielding abundant seeds for foraging birds. These wetlands are also occupied by native bees (Hymenoptera: Anthophila) and red imported fire ants (Solenopsis invicta; RIFA), yet how these insects respond to wetland manipulations remains understudied. I experimentally evaluated how native bee communities were influenced by various wetland management practices and reduction of RIFA populations within the wetlands. Overall, wetland manipulation techniques had no …

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Toward Approachable Reinforcement Learning: Using Dataflow Application And Large Language Models For Human-Understandable Policies, Joel Thomas Huber Dec 2025

Toward Approachable Reinforcement Learning: Using Dataflow Application And Large Language Models For Human-Understandable Policies, Joel Thomas Huber

Theses and Dissertations

Optimal decision-making under uncertainty is a challenge in everything from board games to business scenario planning. With visual programming systems, end-users can utilize reinforcement learning (RL) agents to identify an optimal policy in their own stochastic environments. However, while the RL agent can demonstrate that an optimal policy exists, RL polices tend to be opaque and difficult to interpret. This thesis investigates how Large Reasoning Models (LRMs) can generate human-understandable rules from RL policies. I compare multiple approaches and models, varying the format of the RL policy provided to the LRM as well as the prompting strategy. My results show …

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The Impact Of Land Use Types On Pollinator Communities In Upland Oak Forests, John Olanrewaju Omolewa Dec 2025

The Impact Of Land Use Types On Pollinator Communities In Upland Oak Forests, John Olanrewaju Omolewa

Theses and Dissertations

This research investigates how land use types influence pollinator communities in upland oak forests, focusing on bees (Hymenoptera: Apoidea). The study has four objectives: (1) compare bee species richness and abundance across four land use types; hardwood, pine/mixed pine, open fields/agricultural areas, and scattered hardwood; (2) test whether bee community composition differs among these land uses; (3) assess how land use shapes diversity of both common and rare bee species; and (4) investigate the reproductive output of cavity-nesting communities in upland oak forests. Together, these aims provide a comprehensive understanding of how land use practices affect wild bee communities in …

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Impacts Of Upgrading Gcc On The Srtuner Compiler Autotuning Algorithm, Jonathan D. Butterfield Dec 2025

Impacts Of Upgrading Gcc On The Srtuner Compiler Autotuning Algorithm, Jonathan D. Butterfield

Theses and Dissertations

An often-overlooked research gap is the applicability of research over time. The impact of updating the GNU Compiler Collection version was investigated for the SRTuner compiler optimization research. Versions 7 through 14 were tested using documented flags and recommended flag dependencies. Quality controls measured and enforced consistency across test runs and benchmarks. The performance of SRTuner was compared to a random control while the impact of enforcing flag dependencies was evaluated. The most influential flags were investigated by turning them off in isolation, but results were mixed. It was determined that enforcing flag dependencies resulted in improved performance, but the …

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Use Of Mid-Infrared Spectroscopy For Estimating Soil Chemical, Physical, And Hydrological Properties In Mississippi And Texas, Kanthake Yasas Bandara Gamagedara Dec 2025

Use Of Mid-Infrared Spectroscopy For Estimating Soil Chemical, Physical, And Hydrological Properties In Mississippi And Texas, Kanthake Yasas Bandara Gamagedara

Theses and Dissertations

Accurate and efficient estimation of soil properties is essential for advancing sustainable agriculture, water management, and soil survey applications. Traditional laboratory methods and pedotransfer functions (PTFs) are widely used but are often constrained by high costs, time requirements, and limited scalability. As an alternative, mid-infrared (MIR) and visible–near-infrared (vis–NIR) spectroscopy provide cost-effective, rapid, and non-destructive approaches for soil analysis. However, variability among spectrometer types, geographic regions, and soil scanning conditions poses challenges to model transferability and generalizability. This dissertation evaluated strategies to overcome these challenges and enhance the prediction of soil chemical, physical, and hydrological properties in Mississippi and Texas. …

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The Need For Policy Pathways To Phone-Free Schools: A Desk-Based Analysis For A Rural K-12 District, Kelsey Upton Dec 2025

The Need For Policy Pathways To Phone-Free Schools: A Desk-Based Analysis For A Rural K-12 District, Kelsey Upton

Theses and Dissertations

This capstone project addresses the growing concern over mobile device use in secondary schools by analyzing the implications of implementing a comprehensive mobile device restriction policy. While many schools maintain cell phone policies, inconsistent enforcement reduces their effectiveness, leading to ongoing challenges such as decreased student attention, diminished face-to-face interactions, and increased mental health concerns. Guided by the Adapted Policy Analysis Triangle Framework, this study uses a qualitative, desk-based policy analysis approach to examine existing literature, district policy documents, and publicly available case studies of schools that enact mobile device restriction measures. The analysis evaluates how such policies are designed, …

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Development And Validation Of A Machine-Learned Actuator Line Model For Rotors, Joshua L. Bowman Dec 2025

Development And Validation Of A Machine-Learned Actuator Line Model For Rotors, Joshua L. Bowman

Theses and Dissertations

This dissertation develops and validates a machine‑learned (ML) actuator line model (ALM) as an advancement in rotor modeling that can be applied to diverse engineering applications. The model addresses two standard ALM limitations: dependence on pre‑tabulated lift and drag coefficients and the inability to represent unsteady inflow. The ML‑ALM is trained on a hydrokinetic blade‑resolved simulation database of blade‑element forces under unsteady conditions, and is queried at run time to supply axial, tangential, and spanwise forcing at each actuator element. Validation covers solitary rotor performance and wake predictions against experimental data, and verification in an inline configuration against blade‑resolved simulations …

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Recolonizing Black Bears (Ursus Americanus) In Mississippi: Gene Flow, Isotopic Niche, And Habitat Use, Lacy Ann Dolan Todt Dec 2025

Recolonizing Black Bears (Ursus Americanus) In Mississippi: Gene Flow, Isotopic Niche, And Habitat Use, Lacy Ann Dolan Todt

Theses and Dissertations

American black bears (Ursus americanus) once ranged widely across the United States, but habitat loss and overexploitation in the early 20th century caused dramatic declines and extirpations across much of their range. Legal protections, translocations, and forest restoration have since promoted recovery, and black bears are now recolonizing portions of their historical range, including Mississippi. Effective conservation requires understanding the factors that shape recolonization. In this dissertation, I examined genetic connectivity, isotopic niche breadth, and habitat use to assess how black bears are re-establishing in Mississippi. In Chapter 1, I investigated genetic structure and connectivity of bears in western Mississippi …

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Novel Experimental Techniques For Pressure Transients, Luliang Zhang Dec 2025

Novel Experimental Techniques For Pressure Transients, Luliang Zhang

Theses and Dissertations

This dissertation introduces novel experimental techniques for analyzing pressure transients, focusing on dynamic strain and pressure measurements to advance the understanding and application of Pulse Pressure Amplification in percussive devices. The research evaluates a high-speed linescan extensometer utilizing linescan Digital Image Correlation (DIC) on a Kolsky Bar to obtain strain data at high strain rates. This data is critical for accurate material characterization and simulations to model dynamic behavior. Additionally, a novel method for measuring dynamic pressure waves in pipe systems has been developed, enabling direct assessments of pressure amplification in devices such as tapered pipe systems. The findings contribute …

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Design, Development, And Validation Of An Automated Hole-Punching System For Precision Irrigation In Lay-Flat Poly Pipe Tubing, Micah James Foster Dec 2025

Design, Development, And Validation Of An Automated Hole-Punching System For Precision Irrigation In Lay-Flat Poly Pipe Tubing, Micah James Foster

Theses and Dissertations

Increasing pressure on water resources in agricultural regions, particularly the Mississippi Delta, demands innovative irrigation technologies to optimize water usage while maintaining crop productivity. This research presents the design, development, and validation of an automated hole-punching system for lay-flat poly pipe tubing used in precision irrigation applications. The system ensures accurate and consistent hole placement through an integrated rotary cutting die, a PLC-based control architecture, stepper motor actuation, and distance-sensing and position-synchronization. The software logic maintains precise hole spacing despite variations in tubing speed. System performance was evaluated through extensive testing and statistical analysis of hole-spacing accuracy, repeatability, and sagitta-based …

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Lecun-Pso Hybrid Initialization Of Neural Network Using Asymmetric Gait Features For Classification Of Parkinson’S Disease, Michael Joseph Carter Dec 2025

Lecun-Pso Hybrid Initialization Of Neural Network Using Asymmetric Gait Features For Classification Of Parkinson’S Disease, Michael Joseph Carter

Theses and Dissertations

Parkinson's disease (PD) is a complex condition with a wide range of clinical symptoms. It is a progressive neurological disorder that has afflicted an estimated 1 million people in the US and 10 million worldwide. The diagnosis of PD is typically based on the presence of clinical features, with no specific diagnostic test or biomarker. The methods of assessment for PD are also used, in whole or in part, for similar symptom diseases such as Multiple Sclerosis, Essential Tremors, Multiple System Atrophy, Supranuclear Palsy, Dementia with Lewy bodies and Huntington’s disease. Many of the current clinical tests have low sensitivity …

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Physics-Informed Neural Network For Maximum Detectable Distance Estimation In Mobile Gamma Spectrometry, Nancy A. Ibrahim Dec 2025

Physics-Informed Neural Network For Maximum Detectable Distance Estimation In Mobile Gamma Spectrometry, Nancy A. Ibrahim

Theses and Dissertations

Accurate estimation of the Maximum Detectable Distance (MDD) is critical for environmental remediation, nuclear incident response, and public safety. Conventional approaches assume stationary detectors and rely on computationally intensive simulations, limiting their applicability for mobile, real-time surveys. Mobile gamma spectrometry introduces additional complexities due to detector motion, variable acquisition times, and heterogeneous backgrounds. This study addresses the central question of how effectively a Physics-Informed Neural Network (PINN) can estimate MDD for mobile gamma spectrometry, while maintaining both accuracy and computational efficiency under dynamically changing environmental conditions. A multi-phase approach was employed, combining field data collection, computational modeling, and operational tool …

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Evaluating The Effects Of Biostimulants On Apple Coloration, Patrick G. Owens Dec 2025

Evaluating The Effects Of Biostimulants On Apple Coloration, Patrick G. Owens

Theses and Dissertations

Apple peel color is one determining factor of apple quality and is a highly sought after trait by both growers and consumers. Historically plant growth regulators (PGRs) such as daminozide and auxins have been used to induce a greater amount of red color in the peel, but these products typically have negative production impacts and raise environmental concerns. One new area of interest is in called biostimulants. This study investigated the effects of two experimental biostimulants (MCEN1 and MCEN2) applied at varying rates and timings, as well as a commercially available plant growth regulator (Blush® 2X), on ‘Honeycrisp’ apple color …

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Small Area Estimation Methods For County-Level Forest Biomass Estimation, Pratyush Dhungana Dec 2025

Small Area Estimation Methods For County-Level Forest Biomass Estimation, Pratyush Dhungana

Theses and Dissertations

We evaluated small area estimation (SAE) methods for county-level forest biomass across four Forest Inventory and Analysis (FIA) regions in the contiguous United States using the coefficient of variation and relative root mean squared error. The Standard Fay–Herriot (FH) model was compared with multivariate, spatial, and measurement-error extensions, while the unit-level Battese–Harter–Fuller (BHF) model was compared with mixed-effects random forests (MERF) with auxiliary data from remote sensing. Spatial FH improved precision when spatial dependence was strong; otherwise, Standard FH was more reliable. All FH models were effective with fewer than 100 plots. Measurement-Error FH produced more accurate estimates than FIA …

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Leveraging Google Earth Engine For Computationally Efficient Pixel-Level Analysis And Vector Delineation From Satellite Data., Rishita Garg Dec 2025

Leveraging Google Earth Engine For Computationally Efficient Pixel-Level Analysis And Vector Delineation From Satellite Data., Rishita Garg

Theses and Dissertations

Analyzing large-scale, high-resolution satellite imagery is a computationally intensive task requiring time and computing resources. This can be accelerated using cloud computing platforms such as Google Earth Engine (GEE) where computational and storage requirements can be scaled based on demand. However, cloud-based platforms for processing high-resolution imagery remain underutilized in environmental applications such as agriculture, and forest health. This thesis explored the application of GEE to two geospatial problems in agricultural conservation and disease mapping in forestry: 1) Extraction of agricultural field boundaries from Sentinel-2 satellite imagery, for use in conservation, precision agriculture, land management, and organization, etc., and 2) …

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Study On Vehicle-Pedestrian Interaction Autonomy By Risk Potential Theory, Riku Kikuta Dec 2025

Study On Vehicle-Pedestrian Interaction Autonomy By Risk Potential Theory, Riku Kikuta

Theses and Dissertations

Vehicle–pedestrian interaction is a critical aspect of autonomous vehicle (AV) development, as socially acceptable AVs must account for pedestrian intention and behavior. Risk Potential (RP) theory provides a framework to build human-like AVs by modeling expert driver risk perception, but conventional RP models treat pedestrians as static obstacles and neglect their dynamics. This dissertation extends RP theory by incorporating pedestrian velocity and orientation into three new models: the RP velocity model, the RP related-velocity model, and the RP Pedestrian Potential Position (PPP) model. These models were implemented in the Navigating All Terrains Using Robotic Exploration (NATURE) autonomy stack and tested …

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Validation And Efficacy Of A Novel External Ankle Support Device For The Prevention Of Lateral Ankle Sprains, Sally Kennon Barfield Dec 2025

Validation And Efficacy Of A Novel External Ankle Support Device For The Prevention Of Lateral Ankle Sprains, Sally Kennon Barfield

Theses and Dissertations

Ankle sprains are a common injury in sports and in life and can lead to debilitating consequences if not managed properly. Current prevention methods are limited to bracing or taping of the ankle. While these methods have been shown to help in mitigation of ankle sprains, associated issues such as performance decrements and discomfort have been noted in the currently available literature. The BetterGuards is a novel external ankle support that has been touted as the key to the issues presented by more traditional prevention methods. The purpose of this study was to determine both the effectiveness of the BetterGuards …

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Improvement Of Spot Spraying Treatments Using Precision Application Technologies, Steffen Telgmann Dec 2025

Improvement Of Spot Spraying Treatments Using Precision Application Technologies, Steffen Telgmann

Theses and Dissertations

Chemical plant protection is widely adopted in agriculture and plays a crucial role in maximizing plant production. Several developments for site-specific applications have been implemented in chemical plant protection, driven by economic, social, and environmental considerations. Spot spraying technology, which utilizes single nozzles or a limited number of nozzles to treat specific areas, is now available and gaining market penetration. However, its performance depends on carefully optimized application parameters to ensure consistent coverage and efficacy, thereby mitigating both under- and overdosing. To address concerns including reduced efficacy, resistance evolution, and environmental impacts, this work researches the effects of nozzle selection …

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A Case Study On Redesigning Classroom Activities And Assessments For Generation Z Students, Sushma Shrinivasan Dec 2025

A Case Study On Redesigning Classroom Activities And Assessments For Generation Z Students, Sushma Shrinivasan

Theses and Dissertations

This dissertation investigates the dynamic interplay between pedagogical strategies, learner diversity, and emerging educational technologies through three interconnected studies. Study 1 compares Traditional instruction, Problem-Based Learning (PBL), and Simulation-Based Learning (SBL), revealing that while PBL and SBL enhance student performance—particularly PBL—their impact on perceived learning varies. Notably, SBL reduced perceived learning despite strong outcomes, underscoring the affective and metacognitive complexities of active learning. Study 2 examines the role of demographic factors such as gender, ethnicity, employment, and first-generation status, finding no significant main effects but identifying a key two-way and three-way interactions, suggesting that instructional effectiveness is influenced by the …

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Integrated Experimental, Numerical, And Machine-Learning Framework For The Analysis Of Spray Dynamics In Diesel And Gasoline Direct-Injection (Gdi) Engines, Yassine El Marnissi Dec 2025

Integrated Experimental, Numerical, And Machine-Learning Framework For The Analysis Of Spray Dynamics In Diesel And Gasoline Direct-Injection (Gdi) Engines, Yassine El Marnissi

Theses and Dissertations

The regulation of diesel and gasoline direct injection (GDI) during cold starts has become subject to stricter numerical limits by both the Environmental Protection Agency (EPA) in the US and the European Commission (EC). For diesel engines, the EPA’s Clean Trucks Plan (Model Year 2027+) sets a certification NOₓ limit of 0.035 g/bhp-hr and an in-use fleet average limit of 0.050 g/bhp-hr, along with a PM limit of 0.005 g/bhp-hr, representing an 82.5% reduction in NOₓ compared to the former 0.2 g/bhp-hr standard. For gasoline engines, US standards regulate cold-start pollutants such as hydrocarbons (HC) ranging from 0.03 to 0.08 …

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Polyminhash: Efficient Area-Based Minhashing Of Polygons For Approximate Nearest Neighbor Search, Alima Subedi, Sankalpa Pokharel, Satish Puri Dec 2025

Polyminhash: Efficient Area-Based Minhashing Of Polygons For Approximate Nearest Neighbor Search, Alima Subedi, Sankalpa Pokharel, Satish Puri

Computer Science Faculty Research & Creative Works

Similarity searches are a critical task in data mining. As datasets grow larger, exact nearest neighbor searches quickly become unfeasible, leading to the adoption of approximate nearest neighbor (ANN) searches. ANN has been studied for text data, images, and trajectories. However, there has been little effort to develop ANN systems for polygons in spatial database systems and geographic information systems. We present PolyMinHash, a system for approximate polygon similarity search that adapts MinHashing into a novel 2D polygon-hashing scheme to generate short, similarity-preserving signatures of input polygons. Minhash is generated by counting the number of randomly sampled points needed before …

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Relationship Between Working Memory And Reading Comprehension: A Secondary Meta-Analysis, Gennadi Mikhailik Dec 2025

Relationship Between Working Memory And Reading Comprehension: A Secondary Meta-Analysis, Gennadi Mikhailik

Doctoral Dissertations

Although working memory (WM) capacity has been highlighted in many theories of first-language (L1) and second-language (L2) reading comprehension, some scholars argue that its importance may be overstated and that existing findings are still inconclusive. Even with extensive research since 1995, the literature has lacked a thorough quantitative review of these results. This study shows that WM capacity is positively related to reading comprehension. The current secondary meta-analysis examined the relationship between WM capacity and reading comprehension in both L1 and L2, using two authoritative meta-analytic datasets: Daneman and Merikle’s (1996) for L1 and Jeon and Yamashita’s (2022) for L2. …

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Anesthetic Management Of A High-Risk Cirrhotic Patient With Severe Aortic Stenosis And Massive Ascites Undergoing Elective Hernia Repair, Sadi Abukhalaf, Farzad Ebrahimi Dec 2025

Anesthetic Management Of A High-Risk Cirrhotic Patient With Severe Aortic Stenosis And Massive Ascites Undergoing Elective Hernia Repair, Sadi Abukhalaf, Farzad Ebrahimi

Advocate GME

No abstract provided.

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Correction: Amino Acid Transporter Lat1 (Slc7a5) Promotes Metabolic Rewiring In Tnbc Progression Through The L-Trp/Qprt/Nad+ Pathway, Margot Y. Fedoroff, Lei Zhao, Shaomin Wang, Leili Saeednejad Zanjani, Alok Bhushan, Haifeng Yang, Karen M. Bussard, Stephen C Peiper, Jun He Dec 2025

Correction: Amino Acid Transporter Lat1 (Slc7a5) Promotes Metabolic Rewiring In Tnbc Progression Through The L-Trp/Qprt/Nad+ Pathway, Margot Y. Fedoroff, Lei Zhao, Shaomin Wang, Leili Saeednejad Zanjani, Alok Bhushan, Haifeng Yang, Karen M. Bussard, Stephen C Peiper, Jun He

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Correction: J Exp Clin Cancer Res 44, 190 (2025) Following publication of the original article [1], the authors found that Dr. Leila Saeednejad Zanjani was not included in the final author list despite her contributions. The details are provided below: Current authors: Margot Y. Fedoroff1†, Lei Zhao1†, Shaomin Wang1, Alok Bhushan2, Haifeng Yang1, Karen M. Bussard3, Stephen C. Peiper1 and Jun He1*. Updated author list: Margot Y. Fedoroff1†, Lei Zhao1†, Shaomin Wang1, Leili Saeednejad Zanjani1, Alok Bhushan2, Haifeng Yang1, Karen M Bussard3, Stephen C Peiper1, Jun He1*. The correction does not compromise the validity of the conclusions and the overall …

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Sex-Specific Angiogenic Responses In Endothelial Cells-Role Of The Pluripotency Factor Oct4, Junchul Shin, Junyoung Hong, Iuliia Molokotina, Irene Krukovets, Ellin Kim, Svyatoslav Tkachenko, Eugene Podrez, Tatiana V Byzova, Olga A Cherepanova Dec 2025

Sex-Specific Angiogenic Responses In Endothelial Cells-Role Of The Pluripotency Factor Oct4, Junchul Shin, Junyoung Hong, Iuliia Molokotina, Irene Krukovets, Ellin Kim, Svyatoslav Tkachenko, Eugene Podrez, Tatiana V Byzova, Olga A Cherepanova

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

The study investigates the sex-specific effects of the pluripotency factor OCT4 deficiency in endothelial cells (ECs) on angiogenesis. OCT4 is known for its role in embryonic stem cells, but we recently found that it plays a protective role in ECs during atherosclerosis. Herein, we utilized cultured mouse aortic ECs (MAECs) and several in vivo models, including skin wounding, melanoma tumor implantation, and hindlimb ischemia, to explore the role of OCT4 in angiogenesis in both male and female mice. Our findings revealed significant sexual dimorphism in wild type mice, along with sex differences in responses to OCT4 deficiency across all three …

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Concerted Rattling-Induced Strong Anharmonicity And Phonon Coherence Lead To Ultralow Glasslike Thermal Conductivity In Tlagte, Shantanu Semwal, Yi Xia, Chris Wolverton, Koushik Pal Dec 2025

Concerted Rattling-Induced Strong Anharmonicity And Phonon Coherence Lead To Ultralow Glasslike Thermal Conductivity In Tlagte, Shantanu Semwal, Yi Xia, Chris Wolverton, Koushik Pal

Mechanical and Materials Engineering Faculty Publications and Presentations

Ordered crystalline compounds exhibiting ultralow and glass-like thermal conductivity are both fundamentally and technologically important, where phonon quasi-particles dominate their heat transport. Understanding the microscopic mechanisms that govern such unusual transport behavior is necessary to unravel the complex interplay of crystal structure, phonons, and collective excitations of these quasi-particles. Here, we use state-of-the-art first-principles calculations based on quantum density functional theory to investigate the origin of experimentally measured unusually low and glassy thermal conductivity in semiconducting TlAgTe that possesses disconnected chains of Tl atoms within its three-dimensional crystalline framework made up of distorted AgTe4 tetrahedra. Utilizing a unifying framework of …

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