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Articles 301 - 330 of 21402
Full-Text Articles in Entire DC Network
Topnet R1: A Multi-Stage Ai Framework For Topic Discovery In Scientific Abstracts, Md Elias Hossain
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 …
Documenting Children’S Use, Physical Activity, And Social Play In Tom Lee Park’S Playscape, Laurel Kelton
Documenting Children’S Use, Physical Activity, And Social Play In Tom Lee Park’S Playscape, Laurel Kelton
Theses and Dissertations
The benefits of nature and physical activity on children’s health and development are well documented. However, many children lack access to nature and physical activity. Researchers have found that “innovative playgrounds” —which, by definition, are more likely to include natural elements that facilitate nature immersion— are associated with increased physical activity and duration of stay. This thesis is a case study of a public innovative playground at Tom Lee Park. It sought to understand the playground’s areas and physical characteristics that have higher levels of use, physical activity, and social play and longer durations of stay. Data was collected over …
Spray Characterization And Fuel Property Analysis Of Tier 3 Gasoline In A Gdi System Using Machine Learning, Kyungwon Lee
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 …
Finite Element Modeling Of Plasma Membrane Injury From Mechanical Stress: A Combined Finite Element And Machine Learning Approach, Eric Flynn Mabowitz
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 …
Exploring The Use Of A Random Forest In Correcting Gfs Tropical Cyclone Landfall Errors, Victoria Grace Maxwell
Exploring The Use Of A Random Forest In Correcting Gfs Tropical Cyclone Landfall Errors, Victoria Grace Maxwell
Theses and Dissertations
While Tropical Cyclone (TC) track forecasting has improved over the years it has been slow. These improvements can be attributed to increased computer capability and better model inputs. Machine learning has been used for forecasting different TC track and intensity. The study here looks to use a Random Forest to predict the TC latitude/longitude “landfall” at 72-hr and quantify improvements to the GFS forecast. Principal Component Analysis was used to reduce the dimensionality of the meteorological variables. Stepwise regression was used to determine the principal components that were important for forecasting landfall. These variables were then tested with a multivariate …
Family Matters: How Caregiver Influence And Internal Locus Of Control Relate To Academics, Maia Mclin
Family Matters: How Caregiver Influence And Internal Locus Of Control Relate To Academics, Maia Mclin
Theses and Dissertations
Academics in college predicts life outcomes; students from lower socioeconomic status (SES) backgrounds often face greater challenges. One such population, consisting of many individuals from marginalized backgrounds, are those raised by nontraditional parents. This study investigated predictors of academics among 357 college students, examining authoritative parenting style, intrinsic motivation, academic locus of control (LoC), SES, and caregiver type (parental vs. non-traditional). Academics was assessed using two composite scores: 'academic knowledge' (GPA/ACT) and 'compensatory attention' (working memory via n-back task accuracy and attention/concentration via SMALSI-C). Hierarchical regressions revealed that higher authoritative parenting, higher SES, and being raised by biological parents significantly …
Unboxing The Black Box: Graph-Based Interpretability In Transformer Models, Ramak Nassiri
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 …
Evaluating The Impacts Of Cover Crops At Different Nitrogen Rates On Soil Microbial Dynamics Within A Sweetpotato Production System, Lahari Nekkalapudi
Evaluating The Impacts Of Cover Crops At Different Nitrogen Rates On Soil Microbial Dynamics Within A Sweetpotato Production System, Lahari Nekkalapudi
Theses and Dissertations
A field study was conducted from 2023 to 2024 at Pontotoc, Mississippi, to evaluate the effects of cover crops and nitrogen (N) fertilizer on soil microbial communities in sweet potato production. The study followed a randomized split-block design with three cover crops (Clover, Wheat, and Fallow) and three N rates (0, 50, and 100 lb N acre⁻¹), each replicated four times. Soil samples were collected at cover crop termination, sweet potato planting, and harvest. Bacterial and fungal communities were analyzed using Illumina HiSeq sequencing. Soil properties such as total carbon, total nitrogen, pH, POXC, and microbial activity (AWCD) were also …
In Good Times & Bad: Measuring Ambivalence In Custodial Grandparents, Marin Gail Olson
In Good Times & Bad: Measuring Ambivalence In Custodial Grandparents, Marin Gail Olson
Theses and Dissertations
Like other forms of caregivers, custodial grandparents experience both the joys and trials of raising their grandchildren. This culmination of positive and negative feelings is called “caregiver ambivalence." It has only recently been studied in relation to caregiver burden and wellness in the form of caregiver ambivalence theory (CAT). By collecting data from approximately 395 custodial grandparents via an online survey, the current study aimed to test if custodial grandparents’ feelings of burden influence their perceived well-being and if feelings of ambivalence mediate this relation. Implications of this research include identifying areas of strength and growth within custodial grandparents and …
Motivating Factors Leading To Job Satisfaction Of Teacher Assistants And Their Perceptions Of Such, Jon Oswalt
Motivating Factors Leading To Job Satisfaction Of Teacher Assistants And Their Perceptions Of Such, Jon Oswalt
Theses and Dissertations
This research study investigated the role perceptions, motivating factors, and perceptions of job satisfaction from the perspective of elementary teacher assistants. While key in the field of education, research focused on the position of teacher assistant is lacking, suggesting the need for a critical view of the role. A qualitative study was designed to examine the key components of the perceptions of job satisfaction, the motivating factors leading to it, and the perceptions of the position through the lens of the teacher assistant. Five elementary teacher assistants from a single school in a southern state participated in semi-structured interviews. Key …
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. …
Mastering Skills Together: Effects Of Video Modeling On Parent-Implemented Academic Intervention, Chelsea S. Thorpe
Mastering Skills Together: Effects Of Video Modeling On Parent-Implemented Academic Intervention, Chelsea S. Thorpe
Theses and Dissertations
Reading proficiency is a fundamental skill for academic success and long-term developmental outcomes. Yet, despite ongoing efforts to strengthen literacy education, a significant number of students continue to face reading difficulties that hinder comprehension, critical thinking, and overall academic achievement. National data demonstrate the urgency of this issue. The 2024 National Assessment of Educational Progress (NAEP) reported that 40% of fourth-grade students and 33% of eighth-grade students scored below the Basic level in reading, marking the highest rate on record for eighth graders. Early reading challenges can often lead to other academic and psychosocial challenges such as low achievement, low …
Non-Thermal Dbd Plasma-Induced Co₂ Capture And Conversion To Value Added Chemicals, Chinwendu Theresa Umeojiakor
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 …
Bridging Physics And Machine Learning: Physics-Informed Neural Networks (Pinn) For Wire-Arc Additive Manufacturing (Waam) Thermal Prediction, Haiye (Justin) Xie
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 …
Optical Trapping For The Study Of The Chemical And Physical Dynamics Of Single Particles, Yukai Ai
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 …
Effects Of Psychological Arousal And Relaxation On Muscle Performance, Activation, And Heart Rate Variability During Maximal Muscle Strength And Precision Tasks, Allison Ann Brown
Effects Of Psychological Arousal And Relaxation On Muscle Performance, Activation, And Heart Rate Variability During Maximal Muscle Strength And Precision Tasks, Allison Ann Brown
Theses and Dissertations
Psychological arousal plays a vital role in athletic performance, with the optimal point of arousal and performance level varying by task complexity. A common manipulator of arousal is music, which can produce multiple physiological effects. This study investigated whether unfamiliar arousing or relaxing music influences heart rate variability, muscle activation, maximal muscle strength, and muscle precision. Theoretically, if participants are found to have differing muscle performance responses as a result of differing music selections, this would further support the notion that the optimal point of arousal and performance is dependent upon the complexity of the task at hand. Thus, coaches …
Variables That Affect Designers’ Use Of Edible Planting In Residential Landscape Design, Emily Margaret Butler
Variables That Affect Designers’ Use Of Edible Planting In Residential Landscape Design, Emily Margaret Butler
Theses and Dissertations
Edible landscaping or “foodscaping” has had a resurgence into the mainstream. Though many trailblazers aim to encourage edible landscaping through homeowners and renters, there seems to be a lack of initiative from designers. To identify the variables that can affect a designer’s use of edible planting in the residential Southeastern United States, research and statistical methods were employed. Beyond interviewing an expert in the field of edible planting in the residential space, a survey consisting of both Likert and open-ended questions was sent to licensed landscape architects in the Southeastern U.S. The survey was conducted using Qualtrics and analyzed using …
Soil Ethics In Practice: Harvesting Conservation Choices Among Puerto Rican Coffee Farmers, Patricia Marie Cordero-Irizarry
Soil Ethics In Practice: Harvesting Conservation Choices Among Puerto Rican Coffee Farmers, Patricia Marie Cordero-Irizarry
Theses and Dissertations
Coffee farming in Puerto Rico has declined over recent decades, partly due to deteriorating soil quality. However, the decision-making process behind farmers’ adoption of soil conservation practices remains unclear, particularly the overlooked role of soil ethics, which emphasizes the moral principles guiding human relationships with the soil. This mixed-methods study examined coffee farmers’ adoption of soil conservation practices by integrating the Values-Beliefs-Norms (VBN) theory and a newly developed Soil Ethics Survey (SES) instrument for the quantitative component, while using Decision-Making Theory and Social Cognitive Theory to qualitatively explore how farmers’ experiences and reflections shape their soil ethics. Quantitative findings revealed …
Ex Vivo Evaluation Of Polyethylene Cable Compared To Stainless Steel Cerclage Wire In A Canine Fracture Model, Seila Natasha Day
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 …
Social Validity Of Functional Analysis Variations, Rita M. Druffner
Social Validity Of Functional Analysis Variations, Rita M. Druffner
Theses and Dissertations
The functional analysis was developed to systematically identify the antecedent and consequent conditions mediating challenging behavior. Modifications to the traditional procedures have been developed to address barriers to implementation, including duration, environmental control, and safety. Much of the research surrounding functional analyses addresses effectiveness, barriers to implementation, and practitioner acceptability. However, there is a lack of research assessing caregiver social validity of functional analysis procedures. Social validity is the assessment of the goals, procedures, and outcomes of behavior analytic practice. Even though there has been advocacy for including measures of social within behavior analytic research and practice, there is limited …
Regulating Artificial Intelligence In The U.S.: A Historical-Innovation-Inspired Framework, Di Kevin Gao
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, …
Understanding How Nws Meteorologists Tailor Hazardous Weather Messaging To Core Partners And Identify Local Vulnerabilities, Allison Camille Harvey
Understanding How Nws Meteorologists Tailor Hazardous Weather Messaging To Core Partners And Identify Local Vulnerabilities, Allison Camille Harvey
Theses and Dissertations
Over the past few decades, the National Weather Service (NWS) has continued to improve impact-based decision support services (IDSS) efforts to strengthen communication with core partners. This study addressed how a new spatially hazard-specific vulnerability tool called the Brief Vulnerability Overview Tool (BVOT) may impact how NWS meteorologists tailor messaging to their core partners. It was found that relationship building between NWS meteorologists and core partners is key to enhancing trust, especially during blue sky days. This was done by learning core partners’ needs, thresholds, and communication styles when presenting weather information. Core partners also noticed cues from NWS meteorologists …
My Grandparents Raised Me: The Role Of Formative Individual And Family Experiences In Predicting Emerging Adult Substance Use, Attachment, And Mental Health Outcomes, Acacia Lopez
Theses and Dissertations
Individuals raised in a grandfamily, or family structure in which a grandparent raises their grandchildren, experience higher rates of adverse childhood experiences (ACEs), insecure attachment, and negative mental health outcomes during childhood. Literature on outcomes of these individuals across the lifespan is extremely limited, however, and it is unclear how formative individual and family experiences of being raised by grandparents carry into emerging adulthood (e.g., 18 to 25-years-old). Emerging adulthood is a developmental stage marked by significant instability and unpredictability that is linked with increased vulnerability to mental health concerns and substance use. It has been identified as an important …
Older Adult Men’S Well-Being: The Impact Of Masculinity And Negative Perceptions Of Aging, Darby D. Mackenstadt
Older Adult Men’S Well-Being: The Impact Of Masculinity And Negative Perceptions Of Aging, Darby D. Mackenstadt
Theses and Dissertations
Stereotype embodiment theory states that individuals who hold negative aging stereotypes may internalize them, and thus view their own aging process as negative. This study aimed to evaluate how older adult men may be influenced by their adherence to masculinity standards, such as men are expected to be strong and independent, in older adulthood. A sample of 438 men aged 55 and older living in the southern United States was analyzed, finding that beliefs of masculinity moderated the relationship between negative perceptions of aging and depression. Participants who reported a high adherence to masculinity beliefs and a negative perception of …
Synthetic Mrna Induced Tf1.17-Specific Antibody Response Against Tritrichomonas Foetus For Preputial Delivery In Bulls, Kenzie Mcatee
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. …
Transforming Movement Assessment In Physical Therapy Through Subaquatic Data Collection, Kaitlyn Mcdonald
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 …
Spatial Variability Of Heat Mortality Rate Relationships In Arizona At Primary Care Area Level, Ria Mukherjee
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 …
Augmenting Healthcare Communication: Context-Aware Ai Frameworks For Clinical Decision Support And Automated Summarization, Subash Neupane
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 …
An Evaluation Of The Mississippi 4-H/Ffa Replacement Beef Heifer Development Contest, Lindsey V. Pansano
An Evaluation Of The Mississippi 4-H/Ffa Replacement Beef Heifer Development Contest, Lindsey V. Pansano
Theses and Dissertations
The Mississippi 4-H/FFA Replacement Beef Heifer Development Contest began in 2008 to provide youth with a contest to showcase their managerial skills relating to beef cattle. This study examined the impact of contest participation on development of life skills, technical skills, and choice of occupation. Youth and parents/guardians reported slight to moderate improvement in life skills. The same groups also agreed that technical skills were improved through contest participation. While most youth did not consider the contest to impact their choice of occupation, all indicated that they are currently involved in the beef cattle industry as adults. Overall, these results …
Developing Site Index Curves And Exploring Growth Efficiency Variation In Longleaf Pine Planted On Marginal Agricultural Land In Georgia, Usa, Jabryan Pegues
Developing Site Index Curves And Exploring Growth Efficiency Variation In Longleaf Pine Planted On Marginal Agricultural Land In Georgia, Usa, Jabryan Pegues
Theses and Dissertations
With the relative success of the Conservation Reserve Program (CRP), there is a considerable amount of longleaf pine (Pinus palustris Mill.) trees planted on marginal agricultural land, with little to no guides for productivity management. This study was conducted in four distinct age classes of longleaf pine plantations at The Jones Center at Ichauway in Southwest Georgia, USA. Most of these stands were commercially thinned in 2014 and some were impacted by Hurricane Michael in 2018. I developed site index equations to represent growth trajectories of these stands while incorporating growth starting from ground level. Additionally, the concept of tree-level …