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Vision-Based Estrus Detection: Integrating Yolo Segmentation, Thermal Imaging, And Depth Estimation For Precision Livestock Monitoring, Iyad Almadani Aug 2025

Vision-Based Estrus Detection: Integrating Yolo Segmentation, Thermal Imaging, And Depth Estimation For Precision Livestock Monitoring, Iyad Almadani

Electronic Theses and Dissertations Archive

Traditional methods for predicting sow reproductive cycles are expensive, labor-intensive, and expose workers to occupational hazards, including respiratory toxins, repetitive stress injuries, and mental health issues. On large farms with limited staff, managing individual sow health becomes increasingly difficult, underscoring the need for automated solutions. This is where computer vision offers a promising, non-contact method to detect estrus by analyzing vulva features like size and using thermal imagery to monitor temperature changes, which are key indicators of reproductive readiness. Automating this process enhances breeding efficiency by ensuring insemination occurs at the optimal time while continuously monitoring sows and alerting staff …

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Experimental Investigation Of Strongly Coupled Finite Clusters In Two-Dimensional Dusty (Complex) Plasma, Ravi Kumar Aug 2025

Experimental Investigation Of Strongly Coupled Finite Clusters In Two-Dimensional Dusty (Complex) Plasma, Ravi Kumar

Electronic Theses and Dissertations Archive

Dusty plasma, also known as Complex plasma, are ionized gases containing nanometers – to – micrometers sized particles (often referred as dust). The dust particles instantaneously get negatively charged due to high-mobile electrons present in the background plasma. These charged dust particles confined in a planar (two-dimensional) geometry interact through long-range forces (screened-Coulomb) exhibiting strongly coupled behavior, analogous to those in condensed matter and real 2D materials. This makes complex plasmas an ideal experimental platform to investigate the fundamental classical dynamics of strongly coupled many-body systems, such as phase transitions, configurational and thermodynamic properties. In condensed matter the direct observation …

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Fungal Resistance Of Citric Acid Crosslinked Chitosan Treated Wood, Samuel Jacob Barton Aug 2025

Fungal Resistance Of Citric Acid Crosslinked Chitosan Treated Wood, Samuel Jacob Barton

Theses and Dissertations

Chitosan (CH), a linear polysaccharide biopolymer derived from chitin, is known for its antimicrobial and antifungal properties. However, its natural hydrophilicity limits its application as a wood preservative. This study explores the crosslinking of chitosan with citric acid (CA) to improve its stability and hydrophobicity, aiming to enhance its efficacy as a wood preservative. The study investigates fungal resistance against Gloeophyllum trabeum (brown-rot) and Trametes versicolor (white-rot) fungi using the AWPA E-10 soil block test for pine and gum samples vacuum-treated and dip-treated with CH-CA concentrations (CH 6%/CA 3%, CH 4%/CA 3%, CH 2%/CA 3%, and CH 1.5%/CA 3%). The …

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Calibration And Validation Of The Thermal Finite Element Model For Er120s-G Wire Arc Directed Energy Deposition Using Infrared Cameras And Thermocouples, Joshua Mykl Bassett Aug 2025

Calibration And Validation Of The Thermal Finite Element Model For Er120s-G Wire Arc Directed Energy Deposition Using Infrared Cameras And Thermocouples, Joshua Mykl Bassett

Theses and Dissertations

Wire Arc Directed Energy Deposition (WA-DED) is a promising additive manufacturing method for producing large metallic components with high deposition rates and low costs. However, its rapid heat input can lead to residual stress, microstructural changes, and dimensional inaccuracies. Accurate thermal modeling is essential to mitigate these effects. This study presents a thermal calibration of a finite element model (FEM) for ER120S-G using thermocouples and infrared (IR) imaging. Thermal data were gathered from three experiments to complete the calibration of the FEM . Calibration focused on tuning the Goldak heat source parameters, power efficiency, and heat transfer coefficients to minimize …

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Tools We Use: Evaluating Uav And Photogrammetry Workflows For Early-Stage Site Documentation; Comparative Analysis For Small Landscape Architecture Firms, Bryant Baugus Aug 2025

Tools We Use: Evaluating Uav And Photogrammetry Workflows For Early-Stage Site Documentation; Comparative Analysis For Small Landscape Architecture Firms, Bryant Baugus

Theses and Dissertations

Landscape architects utilize advanced technologies in the design process. Advancements in automation and data capture have opened up new opportunities for UAVs and photogrammetry to produce high-resolution imagery, contours, and 3D models. By leveraging UAVs early in the design process, landscape architects are able to maximize advantages: site analysis through computational software, 3D sectional information, and hydrology prediction. This research focuses specifically on the advantages UAVs offer compared to established workflow methods. It examines four unique workflows for early-stage site documentation: capturing the site with UAVs through photogrammetry, generating a site plan from publicly available GIS data, gathering information from …

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Extreme Artifacts Removal With Curriculum Learning, Sushant Gautam Aug 2025

Extreme Artifacts Removal With Curriculum Learning, Sushant Gautam

Theses and Dissertations

Restoring severely blurred images remains a significant challenge in computer vision, impacting applications in autonomous driving, medical imaging, and photography. This thesis introduces a novel training strategy based on curriculum learning to improve the robustness of deep learning models for extreme image deblurring. Unlike conventional approaches that train on only low to moderate blur levels, this method progressively increases the difficulty by introducing images with higher blur severity over time, allowing the model to adapt incrementally. Additionally, perceptual loss and hinge loss were integrated during training to enhance fine detail restoration and improve training stability. Various curriculum learning strategies were …

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Towards Applying Artificial Intelligence To Solve Np-Complete Problems Using Quantum Computing, Andrew Robert Haverly Aug 2025

Towards Applying Artificial Intelligence To Solve Np-Complete Problems Using Quantum Computing, Andrew Robert Haverly

Theses and Dissertations

This dissertation explores the methodology for more thoroughly entangling artificial intelligence and quantum computing. This is explored through a background search of problems solved using Grover’s quantum algorithm, a new quantum protein folding and drug discovery algorithm, using Grover’s algorithm to train quantum artificial neural networks, using quantum artificial neural networks for reinforcement learning, mapping classical assembly instructions to quantum circuits to make quantum programming easier, and using prompt engineering to get a classical artificial intelligence agent to solve an NP-Complete problem using a Grover’s algorithm. This method not only simplifies the creation of algorithms but also opens new avenues …

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Topnet R1: A Multi-Stage Ai Framework For Topic Discovery In Scientific Abstracts, Md Elias Hossain Aug 2025

Topnet R1: A Multi-Stage Ai Framework For Topic Discovery In Scientific Abstracts, Md Elias Hossain

Theses and Dissertations

Scientific abstracts are rich sources of knowledge, yet extracting meaningful topics remains challenging due to limitations in existing topic modeling techniques. Traditional methods often struggle with interpretability, scalability, and contextual understanding. To overcome these issues, we introduce TopNet R1, a multi-stage ensemble framework that integrates traditional topic models with contextual embeddings from Bidirectional Encoder Representations from Transformers (BERT) and Generative Pre-trained Transformer 4 (GPT-4) large language models (LLMs). Top- Net R1 operates in three phases: (1) topic generation using Latent Dirichlet Allocation (LDA), Non-Negative Matrix Factorization (NMF), Latent Semantic Analysis (LSA), and Hierarchical Dirichlet Process (HDP); (2) LLM-assisted pattern recognition …

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Spray Characterization And Fuel Property Analysis Of Tier 3 Gasoline In A Gdi System Using Machine Learning, Kyungwon Lee Aug 2025

Spray Characterization And Fuel Property Analysis Of Tier 3 Gasoline In A Gdi System Using Machine Learning, Kyungwon Lee

Theses and Dissertations

This study investigates the spray behavior of Tier 3 gasoline in gasoline direct injection engines using experimental methods. Tier 3 gasoline, formulated with lower sulfur content, enhances aftertreatment system efficiency and supports cleaner combustion. A comparative fuel property analysis between Tier 3 gasoline and PACE-20, surrogate fuel, was conducted to understand compositional effects on spray. A constant volume spray chamber and optical diagnostics, including diffuse back-illumination extinction, Schlieren, microscopic, and 3D CT reconstruction imaging, were used to examine spray morphology under varying injection conditions. Key spray parameters such as liquid volume fraction, projected liquid volume, droplet size, and cone angle …

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Finite Element Modeling Of Plasma Membrane Injury From Mechanical Stress: A Combined Finite Element And Machine Learning Approach, Eric Flynn Mabowitz Aug 2025

Finite Element Modeling Of Plasma Membrane Injury From Mechanical Stress: A Combined Finite Element And Machine Learning Approach, Eric Flynn Mabowitz

Theses and Dissertations

Low back pain is a leading cause of disability across a wide range of occupations and environments. Exposure to whole-body vibration (WBV) has been linked to an increased prevalence of low back pain, as well as certain neurophysiological complications. While current understanding of WBV effects is largely based on tissue- and whole-body-level studies, a significant gap remains in knowledge regarding how vibrational forces propagate through individual cells. This knowledge gap limits a comprehensive understanding of how these forces affect the human body at the microscopic level. To address this, the present study employs both two-dimensional (2D) and three-dimensional (3D) finite …

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Unboxing The Black Box: Graph-Based Interpretability In Transformer Models, Ramak Nassiri Aug 2025

Unboxing The Black Box: Graph-Based Interpretability In Transformer Models, Ramak Nassiri

Theses and Dissertations

This thesis introduces a novel interpretability framework for transformer encoder models by hypothesizing that their internal embedding updates define a state transition system. We propose that transformers implicitly learn token-to-token influence dynamics, which can be analyzed using graph-theoretic methods. To validate this, we construct transition graphs from embedding changes and rank token importance using the PageRank algorithm. We develop two transformer models from scratch: a self-supervised model that incorporates serotype tokens to learn contextualized embeddings, and a supervised model initialized with these embeddings. Cosine similarity analysis of their token influence patterns reveals strong structural alignment, with values exceeding 93%. This …

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Decision-Making And Execution Skill Estimation In Continuous Action Space Domains, Delma I. Nieves-Rivera Aug 2025

Decision-Making And Execution Skill Estimation In Continuous Action Space Domains, Delma I. Nieves-Rivera

Theses and Dissertations

In many real-world domains with continuous action spaces, an agent’s performance is driven by two key factors: its decision-making skill, or ability to select high-quality actions, and its execution skill, or precision in carrying out these actions. However, accurately evaluating these skills, particularly when direct information about the agent’s intentions is unavailable, remains a challenging problem. This research addresses this need by developing a theoretical framework and proposing novel estimation methods to assess both decision-making and execution skills based solely on observable data: executed actions and their associated rewards. The work consists of six core studies focused on developing and …

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Markov Chain Monte Carlo Techniques– Innovations In Lifetime Data Analysis And Missing Value Imputations, Tobias Omondi Oketch Aug 2025

Markov Chain Monte Carlo Techniques– Innovations In Lifetime Data Analysis And Missing Value Imputations, Tobias Omondi Oketch

Theses and Dissertations

This dissertation develops scalable Bayesian solutions for two critical challenges in modern data analysis: modeling failure times and imputing missing biological data. First, we introduce an adaptive semi-parametric MCMC framework for Weibull lifetime modeling, addressing the lack of conjugate priors and multidimensional sufficient statistics. Using hierarchical modeling and the No-U-Turn Sampler (NUTS) in STAN, we evaluate 24 prior combinations across 72 simulated datasets. The method yields robust parameter estimates under increasing and decreasing hazard rates and proves effective in predicting prostate cancer patient survival. Second, we assess imputation strategies for high-throughput proteomics data, where missingness distorts signal integrity. We compare …

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Neural Architecture Search-Driven Unsupervised Domain Adaptation For Enhanced Wood Chip Quality Evaluation In Forest Industries, Abdur Rahman Aug 2025

Neural Architecture Search-Driven Unsupervised Domain Adaptation For Enhanced Wood Chip Quality Evaluation In Forest Industries, Abdur Rahman

Theses and Dissertations

Reliable and efficient measurement of wood chip moisture content is crucial for forest-reliant industries, including biofuel production, pulp and paper manufacturing, and bio-refineries, as it directly influences product quality and energy output. Traditional methods like the oven-drying technique, despite their widespread use, are time-consuming and impractical for real-time applications, while modern alternatives such as NIR spectroscopy, electrical capacitance, and microwave analysis are often costly, less portable, and require specialized expertise. This dissertation addresses these limitations by leveraging deep learning and machine vision to develop a scalable, accurate, and portable method for moisture content measurement using RGB images of wood chips. …

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Thermo-Mechanical Advancements For Very High Strength And Ultra High Performance Concretes, Lana Grayson Brown Sisung Aug 2025

Thermo-Mechanical Advancements For Very High Strength And Ultra High Performance Concretes, Lana Grayson Brown Sisung

Theses and Dissertations

Interest in the use of high-strength concrete (HSC) has increased in recent years with demand for improved concrete performance. HSCs are widely associated with high heat of hydration and elusive behavior when exposed to high temperatures commonly occurring in mass structures. The optimization of HSC mixture proportioning is difficult due to a wide variety of constituents that influence thermal and mechanical properties. Additionally, determining in-place properties of mass concrete placements is elusive, and there are currently minimal to no test methods available that are both predictive and a direct measurement of mechanical properties. The objective of this dissertation is to …

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Non-Thermal Dbd Plasma-Induced Co₂ Capture And Conversion To Value Added Chemicals, Chinwendu Theresa Umeojiakor Aug 2025

Non-Thermal Dbd Plasma-Induced Co₂ Capture And Conversion To Value Added Chemicals, Chinwendu Theresa Umeojiakor

Theses and Dissertations

Electrified CO2 conversion via nonthermal dielectric-barrier discharge (DBD) plasma presents a promising pathway for integrating renewable energy into the carbon cycle, addressing the dual challenges of CO2 reduction and sustainable fuel generation. In this research, DBD plasma technology was integrated with a sorbent material and/or catalytic materials for CO2 desorption and conversion. Specifically, with Ni/Al2O3 as the catalyst, we investigated CO2 splitting (CO2 to CO and 0.5O2) and hydrogenation (CO2 and H2 to CO and H2O) under adiabatic and subcooled conditions. We find that CO2 splitting shows higher efficiency than hydrogenation, particularly at relatively lower power inputs. While CO2 hydrogenation …

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Bridging Physics And Machine Learning: Physics-Informed Neural Networks (Pinn) For Wire-Arc Additive Manufacturing (Waam) Thermal Prediction, Haiye (Justin) Xie Aug 2025

Bridging Physics And Machine Learning: Physics-Informed Neural Networks (Pinn) For Wire-Arc Additive Manufacturing (Waam) Thermal Prediction, Haiye (Justin) Xie

Theses and Dissertations

Over the past decade, additive manufacturing (AM) has gained substantial use in industry and research. It is a promising alternative to traditional subtractive and casting manufacturing. AM not only saves time and materials but can also construct intricate structures within components for specific purposes. Wire-Arc Directed Energy Deposition (WA-DED) is one of the additive manufacturing technologies that offers a high extrusion rate of metal wire materials to fabricate near-net-shape metal components. Accurate temperature control is crucial for controlling the microstructure of metal components fabricated through the AM process. Machine learning has the ability to analyze real-time sensor data, such as …

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The Effect Of Wall Temperature And Transpiration On Görtler Vortices In High-Speed Boundary Layers, Asmaa Ahaggach Aug 2025

The Effect Of Wall Temperature And Transpiration On Görtler Vortices In High-Speed Boundary Layers, Asmaa Ahaggach

Theses and Dissertations

Görtler vortices are counterrotating flow structures generated as a result of the imbalance between the wall radial pressure gradients and the centrifugal forces in a boundary layer developing on a curved surface. Their presence leads to secondary instabilities and increases the wall shear stress as they accelerate the transition from laminar to turbulent flow. These secondary instabilities can be mitigated using control techniques aimed at decreasing the energy and the wall shear stress. In this thesis, the combined effect of wall temperature and transpiration on Görtler vortices developing in supersonic and hypersonic boundary layers is investigated. Görtler vortices are excited …

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Optical Trapping For The Study Of The Chemical And Physical Dynamics Of Single Particles, Yukai Ai Aug 2025

Optical Trapping For The Study Of The Chemical And Physical Dynamics Of Single Particles, Yukai Ai

Theses and Dissertations

This dissertation explores the combined technique of optical trapping and Raman spectroscopy (OT-RS) to study the physical and chemical properties, as well as the dynamic surface changes, of single aerosol particles in air. The study covers a wide range of aerosol types, including bioaerosols (such as pollen, bacteria, and fungi), dust particles (such as black carbon, terrestrial, and extraterrestrial materials), and liquid droplets (such as sea-spray aerosols). The optical trapping system used in this work is based on the universal optical trap (UOT), which is capable of trapping and manipulating a wide variety of particle types. These include both transparent …

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Policy Recommendations For Higher Education Institutions To Begin Advancing From Digital Transformation To Bifurcation, Noel Fitzpatrick, Paul Hayes, Jan Cornelius Schmidt, Ester Toribio-Roura, Ceri Almrott, Camila D’Bastiani, Dominik Gager, Gerald Gallagher, Paul Grimm, Alessandra Sannella, Stela Stoykova Aug 2025

Policy Recommendations For Higher Education Institutions To Begin Advancing From Digital Transformation To Bifurcation, Noel Fitzpatrick, Paul Hayes, Jan Cornelius Schmidt, Ester Toribio-Roura, Ceri Almrott, Camila D’Bastiani, Dominik Gager, Gerald Gallagher, Paul Grimm, Alessandra Sannella, Stela Stoykova

Research Outputs: 2025-Present

No abstract provided.

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Creating A Framework For Offering Alternative Credentials At Mississippi State University, Marian Montgomery Chancellor Aug 2025

Creating A Framework For Offering Alternative Credentials At Mississippi State University, Marian Montgomery Chancellor

Theses and Dissertations

As workforce demands evolve and learners seek more flexible, skills-focused education options, Mississippi State University’s College of Professional and Continuing Studies (CPCS) must innovate to remain responsive and competitive. This capstone project explores how MSU can design and implement a scalable framework for micro-credentials that align with employer needs, faculty expertise, and adult learner goals. Grounded in qualitative research, including interviews with faculty and industry leaders, the study identifies key workforce gaps—particularly in communication, leadership, and technical skills—and outlines a 6-stage development lifecycle for credential creation. Findings emphasize the importance of industry collaboration, applied learning, and policy support. The resulting …

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Ex Vivo Evaluation Of Polyethylene Cable Compared To Stainless Steel Cerclage Wire In A Canine Fracture Model, Seila Natasha Day Aug 2025

Ex Vivo Evaluation Of Polyethylene Cable Compared To Stainless Steel Cerclage Wire In A Canine Fracture Model, Seila Natasha Day

Theses and Dissertations

A long oblique osteotomy model was created using paired canine cadaveric femurs. The osteotomies were stabilized with either three ultra-high molecular weight polyethylene (UHMWPE) cables (n=10) or three 18 gauge stainless steel loop cerclage wires (n=10). Cyclic testing was performed in four-point bending by applying increasing force at 2 Hz until construct failure, defined as ≥2mm of actuator displacement. Data analyzed included cycles to failure, load at failure, and dynamic stiffness. There was no statistically significant difference in any of the outcomes tested between constructs. Visible loosening was noted in all loop cerclage constructs. No visible loosening of the UHMWPE …

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Regulating Artificial Intelligence In The U.S.: A Historical-Innovation-Inspired Framework, Di Kevin Gao Aug 2025

Regulating Artificial Intelligence In The U.S.: A Historical-Innovation-Inspired Framework, Di Kevin Gao

Theses and Dissertations

The emergence of OpenAI\textquotesingle s ChatGPT has marked the dawn of a new Artificial Intelligence (AI) era, unleashing a wave of user excitement, moral panic, and apocalyptic warnings. Yet, these concerns have done little to slow the breakneck pace of AI development and deployment. Should the United States adopt the European Union\textquotesingle s top-down, legislation-first approach, or follow the United Kingdom\textquotesingle s bottom-up, court-driven model? This research draws from historical legislative parallels in the U.S. By examining past regulatory frameworks for disruptive technologies, including electricity, automobiles, the telephone, broadband internet, nuclear technology, cryptocurrency, commodity futures, modern pharmaceuticals, and social media, …

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Mapping Renewable Energy Opportunities: Increasing Rural Energy Resilience In Mississippi Through Extension And National Program Insights, Kaitlyn Brooke Gordon Aug 2025

Mapping Renewable Energy Opportunities: Increasing Rural Energy Resilience In Mississippi Through Extension And National Program Insights, Kaitlyn Brooke Gordon

Theses and Dissertations

There has been an increased interest in renewable energy opportunities in Mississippi in recent years but limited educational material on this topic and a lack of knowledge among residents on various renewable energy options. Therefore, the main objectives of this study were to 1) conduct a comprehensive review of renewable energy educational resources and 2) increase knowledge of renewable energy in youth through the development of a new statewide Extension program. The environmental scan resulted in 45 usable responses from 117 potential participants, and programmatic details were received for 54 Extension programs or other forms of educational material. Evaluation results …

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Synthetic Mrna Induced Tf1.17-Specific Antibody Response Against Tritrichomonas Foetus For Preputial Delivery In Bulls, Kenzie Mcatee Aug 2025

Synthetic Mrna Induced Tf1.17-Specific Antibody Response Against Tritrichomonas Foetus For Preputial Delivery In Bulls, Kenzie Mcatee

Theses and Dissertations

Bovine trichomoniasis, caused by Tritrichomonas foetus, remains a persistent reproductive disease in cattle due to asymptomatic carriage in bulls and lack of effective treatments. This thesis evaluated the use of synthetic mRNA to drive expression of TF1.17- specific antibodies, targeting a conserved surface adhesin essential for parasite colonization. Membrane-anchored and secreted IgG1 constructs were transfected into bovine kidney cells, resulting in time-dependent antibody expression verified via NanoLuc luminescence. In vivo, aerosolized mRNA administration to bull calves led to localized antibody expression in preputial secretions. Although immunofluorescence assays detected fluorescence signal, high background limited interpretation of specific binding to T. foetus. …

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Transforming Movement Assessment In Physical Therapy Through Subaquatic Data Collection, Kaitlyn Mcdonald Aug 2025

Transforming Movement Assessment In Physical Therapy Through Subaquatic Data Collection, Kaitlyn Mcdonald

Theses and Dissertations

This study explored the interest and perceived barriers to integrating subaquatic diagnostic technologies (SDTs) into hydrotherapy among licensed physical therapists. Seventeen semi-structured interviews were conducted using a mixed-methods design, with 15 interviews included in the final analysis. Quantitative data were analyzed using chi-square tests, while qualitative responses were coded thematically. Results indicated no statistically significant relationships between SDT interest and career stage or hydrotherapy access, though qualitative data highlighted concerns about cost, limited access, and usability. Despite mixed interest in adoption, participants identified several potential benefits of SDTs, including improved treatment tailoring, increased patient buy-in, and enhanced outcome monitoring. Functional …

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Spatial Variability Of Heat Mortality Rate Relationships In Arizona At Primary Care Area Level, Ria Mukherjee Aug 2025

Spatial Variability Of Heat Mortality Rate Relationships In Arizona At Primary Care Area Level, Ria Mukherjee

Theses and Dissertations

Heat Mortality Rates (HMR) in Arizona (AZ) are one of the highest in all of US. The HMR association with environmental, socioeconomic, demographic, and occupational factors has been widely investigated to inform mitigative policy. This study employed linear and spatial models- Ordinary Least Square (OLS), Geographically Weighted Regression (GWR) and multiscale Geographically Weighted Regression (MGWR), across AZ at Primary Care Area (PCAr) level to identify important spatial trends in HMR relationship. Results indicated a significant global association between heat mortality and environmental variables and the elderly population aged 65 and older. In contrast, the working age group between 54 and …

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Augmenting Healthcare Communication: Context-Aware Ai Frameworks For Clinical Decision Support And Automated Summarization, Subash Neupane Aug 2025

Augmenting Healthcare Communication: Context-Aware Ai Frameworks For Clinical Decision Support And Automated Summarization, Subash Neupane

Theses and Dissertations

Healthcare communication is plagued by fragmented medical knowledge, patient misunderstanding of care plans, and clinician burnout from documentation burdens. These inefficiencies cost the U.S. healthcare system over $300 billion annually due to preventable nonadherence and administrative waste [47, 19]. While Artificial Intelligence (AI) technology like Large Language Models (LLMs) offer potential solutions, existing systems fail to deliver personalized, context-aware guidance or automate documentation without sacrificing accuracy. This dissertation addresses these gaps through three novel context-aware AI frameworks such as MedInsight, ClinicSum, and ClinicDuo. MedInsight leverages a multi-source context augmentation approach to synthesize patient centric medical responses by integrating Electronic Health …

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Raspberry Cultivar Evaluation Trial In Mississippi, Apphia Santy Aug 2025

Raspberry Cultivar Evaluation Trial In Mississippi, Apphia Santy

Theses and Dissertations

Raspberries (Rubus idaeus) are valued for their flavor, appearance, and nutritional quality. This study evaluated 26 raspberry cultivars over two seasons (2023 and 2024) in Mississippi under a 50% shade-covered system, using organic and conventional fertilization in 7-gallon containers. Cultivars included floricane- and primocane-fruiting types. Data collected included harvest timing, yield, berry weight, soluble solids content (°Brix), titratable acidity, total phenolic content (TPC), and total flavonoid content (TFC). Results showed cultivar differences in yield, berry quality, and antioxidant levels. In 2023, conventionally fertilized plants produced higher yields; in 2024, fertilizer had no impact. Late-season harvests had elevated phytochemicals. ‘Prelude,’ ‘Nova,’ …

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Confirmatory Factor Analysis Of The Psychopathic Personality Inventory-Revised: Short Form In College-Attending Emerging Adults, Lydia Stanhope Aug 2025

Confirmatory Factor Analysis Of The Psychopathic Personality Inventory-Revised: Short Form In College-Attending Emerging Adults, Lydia Stanhope

Theses and Dissertations

Psychopathy research stems from the work of Dr. Hervey Cleckley, whose research aided in providing the foundation for psychopathy assessments currently utilized in the field. Several researchers used Cleckley’s framework to further home in on characteristics that are central to psychopathy. Among the primary researchers who adapted the characteristics into their own measures are Robert Hare, Paul Frick, and Scott Lilienfeld; the work of these researchers is what helped lead to the creation of the Psychopathic Personality Inventory-Revised: Short Form (PPI-R: SF). The current study aimed to confirm the two-, three-, and eight-factor models from previous versions of the measure …

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