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Full-Text Articles in Entire DC Network
Privacy-Preserving Data Sharing For Learnable Encryption Artificial Intelligence In E-Health, Al Amin
Privacy-Preserving Data Sharing For Learnable Encryption Artificial Intelligence In E-Health, Al Amin
Tennessee State University Alumni Theses and Dissertations
Healthcare AI requires large datasets for clinical-grade performance, yet privacy regulations prevent direct inter-institutional data sharing. While traditional federated learning (FL) enables collaborative training without centralizing data, it suffers from four critical limitations: accuracy degradation, gradient leakage vulnerabilities, high communication costs, and limited interpretability. Accordingly, the overarching research goal is to design a privacy-first FL framework for e-health that preserves clinical-grade accuracy on obfuscated data while substantially reducing information leakage, minimizing communication overhead, and enabling interpretable decision support without sharing weights, gradients, or raw pixels. This thesis systematically addresses these challenges through a three-method framework that progressively enhances privacy, efficiency, …
A Fault Tolerant Honeybee Behaviour Load Balancing Algorithm, Charmaine Adegbite
A Fault Tolerant Honeybee Behaviour Load Balancing Algorithm, Charmaine Adegbite
Tennessee State University Alumni Theses and Dissertations
Cloud computing enables flexible, scalable access to virtualised infrastructure but remains challenged by maintaining performance in fault-prone environments. Faults such as virtual machine failures can degrade task allocation and system reliability. However, traditional load balancing algorithms and bio-inspired strategies, including the Honeybee Behaviour Load Balancing algorithm, assume fault-free conditions. This thesis introduces a Fault-Tolerant Honeybee Behaviour Load Balancing algorithm that enhances the original Honeybee Behaviour Load Balancing algorithm by integrating fault detection. The proposed algorithm monitors the health of VMs and dynamically reallocates workloads when faults are detected which improves stability and reliability. The proposed fault tolerant algorithm was implemented …
Macroscopic And In-Situ Atr-Ftir Spectroscopic Studies Of Metformin Adsorption On Soil, Maheen Mehnaz
Macroscopic And In-Situ Atr-Ftir Spectroscopic Studies Of Metformin Adsorption On Soil, Maheen Mehnaz
Tennessee State University Alumni Theses and Dissertations
Emerging contaminants might pose serious threats to the soil and water environment. Metformin, an emerging micropollutant, is one of the most widely used drugs for type-2 diabetes treatment. However, its waste disposal through human excretion is causing environmental concern to the soil and water environment. Yet, knowledge about the interaction mechanism of metformin with soil remains very limited. In this study, we evaluated metformin adsorption mechanisms on model oxide minerals (gibbsite, hematite) and two Tennessee soils (Milan Loring soil and Cheatham County soil) and in the presence of soil micronutrient (molybdenum) using in situ attenuated total reflectance Fourier transform infrared …
Factors Influencing Rural Teachers To Stay In The Classroom: A Qualitative Study, Marti Elizabeth Lomax
Factors Influencing Rural Teachers To Stay In The Classroom: A Qualitative Study, Marti Elizabeth Lomax
Tennessee State University Alumni Theses and Dissertations
The problem was teacher attrition was a pressing problem in the United States. The National Center for Education Statistics (2023) reported that 40% to 50% of teachers exited the profession within 5 years of commencing their careers which influenced the quality and consistency of education provided to rural students. The purpose was to explore how teachers felt about remaining on the job in rural classrooms in Southern Middle Tennessee. There was little research that investigated these teachers’ experiences regarding remaining in the profession. The study was guided by a basic qualitative design (Quick, 2024). The sample was six teachers selected …
Agronomic Management Practices For Cbd And Fiber Hemp In Southeastern United States, Anand Kumar
Agronomic Management Practices For Cbd And Fiber Hemp In Southeastern United States, Anand Kumar
Tennessee State University Alumni Theses and Dissertations
The farm bill of 2014 and 2018 legalized hemp (Cannabis sativa L.) production for cannabidiol (CBD), grain, and fiber uses in the U.S. Agronomic management practices for floral hemp for CBD production were not well studied. To optimize the agronomic management practices for high CBD content and THC concentration below the compliance level of 0.3% on a dry weight basis requires specific management and adaptability. A two-year field study was conducted at the Tennessee State University Agricultural Research and Education Center (TSU AREC) in Nashville, Tennessee, to evaluate two production systems, the Non-Chemical System (NCS) and the Chemical-Based System (CBS), …
Dynamic Urban Air Mobility Systems Modeling And Simulation, Amer M. Ibrahim
Dynamic Urban Air Mobility Systems Modeling And Simulation, Amer M. Ibrahim
Tennessee State University Alumni Theses and Dissertations
The use of electrical vertical takeoff and landing (eVTOL) aircraft to provide efficient, high-speed, on-demand air transportation within a metropolitan area is an increasingly popular topic, which is expected to bring fundamental changes to cities. The concept of Urban Air Mobility (UAM) has the potential to make meaningful door-to-door trip time savings compared with other transportation. The capability to manage many of these eVTOL aircraft safely in a congested urban area presents an unprecedented challenge in air traffic management. In order to enable safe and efficient autonomous on-demand free flight operations in UAM, a computational guidance algorithm with collision avoidance …
First-In-Child Phase I Trial Of P-Stat3 Inhibitor Wp1066 In Pediatric Brain Tumor Patients, Robert C Castellino, Hope L Mumme, Andrea T Franson, Bing Yu, M Hope Robinson, Kavita Dhodapkar, Dolly Aguilera, Matthew J Schniederjan, Rohali Keesari, Zhulin He, Manoj Bhasin, Waldemar Priebe, Amy B Heimberger, Tobey J Macdonald
First-In-Child Phase I Trial Of P-Stat3 Inhibitor Wp1066 In Pediatric Brain Tumor Patients, Robert C Castellino, Hope L Mumme, Andrea T Franson, Bing Yu, M Hope Robinson, Kavita Dhodapkar, Dolly Aguilera, Matthew J Schniederjan, Rohali Keesari, Zhulin He, Manoj Bhasin, Waldemar Priebe, Amy B Heimberger, Tobey J Macdonald
Faculty, Staff and Student Publications
Background: WP1066 is an orally bioavailable, small molecule inhibitor of activated p-STAT3 that has demonstrated preclinical efficacy in pediatric brain tumor models.
Methods: In a first-in-child, single-center, single-arm 3+3 design Phase I clinical trial, ten patients were treated with WP1066 twice daily, Monday-Wednesday-Friday, for 14 days of each 28-day cycle to determine the maximum tolerated dose (MTD)/maximum feasible dose (MFD) of WP1066. Compassionate use treatment with WP1066 in three pediatric patients with H3.3 G34R/V-mutant high-grade glioma (HGG) is also described.
Results: There was no significant toxicity and the MFD was determined to be 8 mg/kg. Treatment-related adverse events were Grade …
Effective Digital Marketing Strategies For Small Businesses, Shannon Springob
Effective Digital Marketing Strategies For Small Businesses, Shannon Springob
Walden Dissertations and Doctoral Studies
The inability of many small businesses to effectively use digital marketing is a critical challenge for small business owners. Small business owners who lack effective digital marketing strategies are at greater risk of facing failure. Grounded in the do-it-yourself (DIY) behavioral theory, this qualitative pragmatic inquiry was conducted to identify, analyze, and explore the effective strategies employed by small business owners in the development and implementation of effective digital marketing campaigns. The participants included six small business owners in the United States who have used DIY digital marketing strategies within their businesses. Data were collected using semistructured interviews. Thematic analysis …
In-Situ Investigations Of Calcium-Magnesium-Aluminosilicates (Cmas) Infiltration Effects On Thermal Barrier Coatings Under Extreme Environments Replicating Jet Engines, Zachary Stein
Doctoral Dissertations and Master's Theses
Calcium-magnesium-aluminosilicate (CMAS) particulates, such as sand or volcanic ash, are ingested by gas turbine jet engines during operation. When operating within high abundance regions, these particulates negatively interact and degrade the high temperature thermal barrier coatings (TBC) protecting underlying superalloy turbine blades vital to engine operation. These CMAS particulates melt within the engine and infiltrate into the ceramic coatings. In electron-beam physical vapor deposited (EB-PVD) TBCs, the CMAS within the intercolumnar gaps stiffens the coatings and causes thermomechanical induced high stress concentrations, risking crack formation. While molten, the CMAS thermochemically alters and destabilizes the coating, also risking coating failure. Premature, …
Parameter Informed Reinforcement Learning For Vehicle System Identification, Nathan Schaff
Parameter Informed Reinforcement Learning For Vehicle System Identification, Nathan Schaff
Doctoral Dissertations and Master's Theses
Accurate system identification is essential for modeling and controlling vehicle dynamics. This dissertation explores the application of Parameter Informed Reinforcement Learning (PIRL) as a novel approach to system identification (SYSID). PIRL integrates prior system knowledge, such as physical parameters, into reinforcement learning (RL) frameworks to improve estimation accuracy. The study begins with an overview of traditional SYSID methods and then introduces PIRL as a modification of standard RL. The research applies PIRL to short-period aircraft dynamics, demonstrating its effectiveness in both offline and online learning frameworks. The dissertation then further explores PIRL’s utility in an indirect model reference adaptive control …
The Impact Of Social Factors On Vagally Mediated Parasympathetic Activity, Andrew Scot Proctor
The Impact Of Social Factors On Vagally Mediated Parasympathetic Activity, Andrew Scot Proctor
Theses and Dissertations
Loneliness and social disconnection are recognized risk factors for morbidity and mortality, yet the psychophysiological pathways remain contested. This dissertation examines how social factors relate to vagally mediated parasympathetic activity indexed by heart rate variability (HRV) and tests whether conversational interventions with a human or a large-language-model (LLM)-based companion can acutely reduce loneliness and enhance connection. Across two university sites (BYU, UCSD), N=297 participants (18-27 years) were randomized to (a) a reciprocal self-disclosure conversation with a trained human confederate, (b) a parallel, vocalized LLM chatbot conversation, or (c) a non-social, vocal reading control. Resting HRV (RMSSD, SDNN, HF-HRV) was recorded …
Zotpri Llc V. Burton
All Decisions
In this nonpayment proceeding, the tenant, after retaining counsel, moved to amend their pro se answer to assert affirmative defenses of payment, laches, and breach of the warranty of habitability, along with counterclaims. The landlord opposed, arguing untimeliness and insufficient pleading of laches. The court granted the tenant's motion, allowing the amended answer with the payment and warranty of habitability defenses and counterclaims. However, the laches defense was stricken for insufficient pleading, as it failed to demonstrate lack of notice or prejudice to the tenant, beyond mere delay, which are essential elements for an equitable laches claim.
Acceptability, Appropriateness, Willingness To Use, And Perceptions Towards Hiv Self-Testing Among Adolescent Girls And Young Women In Rural Northern Uganda: A Baseline Formative Cross-Sectional Study, Ronald Olum, Morrish Obol Okello, Freddy Eric Kitutu, Elvin H Geng, Philippa Musoke
Acceptability, Appropriateness, Willingness To Use, And Perceptions Towards Hiv Self-Testing Among Adolescent Girls And Young Women In Rural Northern Uganda: A Baseline Formative Cross-Sectional Study, Ronald Olum, Morrish Obol Okello, Freddy Eric Kitutu, Elvin H Geng, Philippa Musoke
2020-Current year OA Pubs
BACKGROUND: Adolescent girls and young women (AGYW) in Uganda are at higher risk for and bear a significant HIV burden, accounting for 25% of new infections. Despite improved HIV testing services, AGYW in rural areas face barriers to facility-based testing due to stigma, physical access barriers, and confidentiality concerns. This study assessed the acceptability, appropriateness, willingness to use, and perceptions of HIVST among AGYW in Northern Uganda.
METHODS: This cross-sectional study was part of a baseline assessment for a quasi-experimental trial evaluating community-led HIVST among AGYW aged 15-24 years in 5 sub-counties in Omoro District. Data were collected using systematic …
Central Auditory Processing Is Altered After Traumatic Brain Injury In Tanzanian Adults, Jonathan D. Lichtenstein, Christopher E. Niemczak, Abigail Fellows, Lindsay J. Wood, Shufaa Masoud, Alexis Rooney, Monika Adhikari, Albert Magohe, Jay C. Buckey
Central Auditory Processing Is Altered After Traumatic Brain Injury In Tanzanian Adults, Jonathan D. Lichtenstein, Christopher E. Niemczak, Abigail Fellows, Lindsay J. Wood, Shufaa Masoud, Alexis Rooney, Monika Adhikari, Albert Magohe, Jay C. Buckey
Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works
Traumatic brain injury (TBI) damages pathways throughout the brain and is a significant global health concern, particularly in low- and middle-income countries, where the incidence is high and long-term deficits are prevalent. This study explores the utility of central auditory processing (CAP) testing as a marker of previous TBI. Seventy individuals with a history of moderate to severe TBI (msTBI) were matched by age and sex to 46 healthy controls in Dar es Salaam, Tanzania. Participants underwent comprehensive behavioral CAP testing, including tests of speech-in-noise ability, temporal resolution, and dichotic listening. Multivariate logistic regression showed the Triple Digit Test (TDT) …
Kenyon Collegian - December 11, 2025
Education In The Planetarium: A Practical Approach, Matthew Fyfe
Education In The Planetarium: A Practical Approach, Matthew Fyfe
Honors Projects
This project proposes live planetarium programming built within the 5E instructional model. It creates a practical application of this with lesson modules surrounding topics in observational astronomy. Specifically, there are investigations into instrumentation through CCD cameras and data collection and processing through spectroscopy and photometry with light curve folding with activities highlighting each. Each module is broken down into segments corresponding to the learning cycles of the 5E model, and as they are self contained in this way can be used piecemeal in different combinations.
Pria: Process Risk Identification And Analysis, Raymond Fasano
Pria: Process Risk Identification And Analysis, Raymond Fasano
Nuclear Engineering ETDs
This dissertation proposes and evaluates two approaches, with-in a Process Risk and Analysis (PRIA) framework, that advance data-driven hazard discovery in complex cyber-physical systems. First, a transferability-based clustering method groups subspace-identified segments into operational modes, prioritizing cross-predictive performance over raw feature proximity. Second, a Neural Switching Linear Dynamical System (NeuralSLDS) model anchors learning in identified state-space models with Bayesian residuals, calibrated predictive uncertainty, and context-aware operating mode transitions. Together, these methods generate physics-informed, probabilistic world models that can support model-in-the-loop analysis of hazardous trajectories. The approach is validated on a simulated point-kinetics reactor and a centrifugal chiller dataset, demonstrating coherent …
Toxic Behaviors In Higher Education Institutions: Examining Demographic Factors Affecting Faculty Perceptions, Patrice C. Elder
Toxic Behaviors In Higher Education Institutions: Examining Demographic Factors Affecting Faculty Perceptions, Patrice C. Elder
Tennessee State University Alumni Theses and Dissertations
This quantitative study examined the relationship between demographic factors and faculty perceptions of organizational toxicity at four-year higher education institutions. Using the Perceived Organizational Toxicity Scale (POTS), data were collected from 131 faculty members across Predominantly White Institutions (PWIs) and Historically Black Colleges and Universities (HBCUs). The study investigated four dimensions of toxic behaviors: narcissistic, aggressive, unethical, and rigid behaviors. Key findings revealed that unethical behaviors were the most prevalent form of organizational toxicity (M=2.59, SD=1.05), followed by narcissistic behaviors (M=2.32, SD=.93). Significant demographic differences emerged across academic rank and seniority. Assistant and associate professors reported significantly higher levels of …
Perceived Value Of Radiologic Technology Degrees Among Community College Students In Tennessee, Tiffanie Harris
Perceived Value Of Radiologic Technology Degrees Among Community College Students In Tennessee, Tiffanie Harris
Tennessee State University Alumni Theses and Dissertations
Abstract This study explored how adult alumni perceive the value of earning an Associate of Applied Science in Radiologic Technology from a northern Middle Tennessee community college. It examined four questions: (1) How do alumni perceive the financial return on investment (ROI)? (2) What non-financial benefits or challenges do they report? (3) How did the program influence their career readiness and workforce entry? and (4) How did institutional support or barriers affect their educational experience? Using a convergent mixed-methods design, 18 alumni from the 2021–2024 cohorts (85.7% response rate) completed a survey with Likert and open-ended items. Quantitative data were …
Conditional Generative Adversarial Network Framework For Iot Anomaly Detection, Henry Onyeka
Conditional Generative Adversarial Network Framework For Iot Anomaly Detection, Henry Onyeka
Tennessee State University Alumni Theses and Dissertations
The growing scale and complexity of Internet-of-Things (IoT) edge networks complicate anomaly detection, particularly in identifying sophisticated Distributed Denial of Service (DDoS) attacks and zero-day behaviors under highly dynamic and imbalanced traffic conditions. This thesis proposes SD-CGAN, a Conditional Generative Adverserial Network optimzied with Sinkhorn Divergence as a geometry-aware one-class framework for robust IoT anomaly detection. SD-CGAN trains solely on benign traffic flows to learn a stable representation of normal traffic. To address class imbalance and improve the variety of the sample, we combine SD-CGAN with CTGAN-based synthetic data augmentation. Replacing the adversarial objective function with Sinkhorn Divergence yields smooth …
Developing Four-In-One Genetic Engineering System To Improve Production Of Bioenergy In Sorghum, Oluchukwu Jecinta Onyemaobi
Developing Four-In-One Genetic Engineering System To Improve Production Of Bioenergy In Sorghum, Oluchukwu Jecinta Onyemaobi
Tennessee State University Alumni Theses and Dissertations
Sorghum (Sorghum bicolor L.) is a C4 crop of significant agricultural and industrial importance, known for its high biomass yield, drought tolerance, and adaptability to marginal lands. However, the high lignocellulosic biomass content of sorghum, particularly its lignin component, poses a significant challenge for efficient biomass conversion. Genetic engineering offers a powerful approach to achieve such improvements by targeting the modification of lignin biosynthetic pathways. However, progress in sorghum genetic improvement has been hindered by the crop’s recalcitrance to genetic manipulation, transformation, and regeneration. To overcome these limitations, we developed a four-in-one genetic engineering technology for sorghum by establishing an …
Interactive Effects Of Warming And Nitrogen Fertilization On Soil Respiration And Microbial Community Function, Aviyan Pandey
Interactive Effects Of Warming And Nitrogen Fertilization On Soil Respiration And Microbial Community Function, Aviyan Pandey
Tennessee State University Alumni Theses and Dissertations
Understanding the effects of multiple global change drivers, e.g., warming (W) and nitrogen (N) fertilization, is critical for accurately predicting ecosystem responses to climate change. This study investigates the main and interactive effects of soil warming and N fertilization on soil organic carbon (SOC), total nitrogen (TN), microbial biomass, extracellular enzyme activities (EEAs), and soil respiration (Rs) in a switchgrass (Panicum virgatum) cropland located in Middle Tennessee, U.S. The field experiment employed a split-plot design with two levels of warming (ambient and heated) and two levels of N fertilization (zero and 168 kg N ha-1yr-1). Hourly measurements of Rs, soil …
Bilstm-Based Zero-Aware Traffic Forecasting Using Lidar Data For Intersection Safety, Md Atiqur Rahman Mallick
Bilstm-Based Zero-Aware Traffic Forecasting Using Lidar Data For Intersection Safety, Md Atiqur Rahman Mallick
Tennessee State University Alumni Theses and Dissertations
LSTM retains information from long-term data and is highly effective in generating time-based forecasts. Recently, BiLSTM has enhanced the precision of traffic predictions by assimilating information from both antecedent and subsequent directions via bidirectional data flow. BiLSTM demonstrates exceptional efficacy in the analysis of long-term traffic data. Our study presents a custom forecasting model that leverages advanced LiDAR sensor technology in combination with state-of-the-art deep learning techniques to improve road conditions. Eight LiDAR sensors were strategically deployed along the 26th Clarksville Pike corridor to collect high-resolution traffic data—including vehicle speed and count/flow—over the period from September 1, 2024 to November …
Causal Structure Discovery For Explaining Important Features In Machine Learning, Yina Hou
Causal Structure Discovery For Explaining Important Features In Machine Learning, Yina Hou
Tennessee State University Alumni Theses and Dissertations
Understanding causal relationships between input variables and outcomes is critical for scientific advancement. The famous adage in medicine, "correlation does not imply causation," holds profound significance for understanding disease etiology. Although explainable machine learning (ML) has shown major advances in predictive modeling, it remains unclear how ML-derived important variables relate to causal variables. This thesis investigates the association between causal variables and those identified as correlated and important for ML-based prediction to bridge a critical knowledge gap in data science. Specifically, the thesis explores two research questions: when and to what extent (1) statistically correlated variables are also causal? and …
Educational Leadership's Role In Understanding Nil Policy Perceptions Among College Football Players, Carlton Rice
Educational Leadership's Role In Understanding Nil Policy Perceptions Among College Football Players, Carlton Rice
Tennessee State University Alumni Theses and Dissertations
This study examined educational leadership's role in understanding Name, Image, and Likeness (NIL) policy perceptions among college football players at an American Athletic Conference institution. Using Expectancy-Value Theory as the theoretical framework, the research explored how educational leaders interpret and communicate NIL policies to student-athletes, assessed student-athlete perceptions of leadership effectiveness, and investigated how leadership experiences influence attitudes toward NIL policies. The mixed-methods study surveyed 97 college football student-athletes and conducted interviews with athletic administrators. Key findings revealed a moderately positive correlation (r=.340, p<.001) between administrative support and student-athlete knowledge of NIL policies, demonstrating that institutional investment in educational support directly impacts policy comprehension. The research found that 67% of student-athletes indicated NIL opportunities would influence their school choice decisions, fundamentally altering recruitment dynamics. Additionally, 57.7% of participants agreed that NIL affects team culture, though responses indicated this impact is highly contextual and dependent on institutional management. The study identified significant variation in educational leadership approaches across institutions, with some employing dedicated NIL strategy teams while others integrate responsibilities within existing compliance departments. A notable gap emerged between student-athlete NIL expectations and institutional support, with many athletes reporting they "do everything on our own." For higher education institutions, findings suggest the need for comprehensive NIL education programs extending beyond basic compliance to include financial literacy, contract negotiation, and personal branding. Institutions should develop values-based frameworks aligning NIL opportunities with institutional missions while protecting student-athlete interests. The research contributes valuable insights for navigating the evolving NIL landscape while supporting student-athlete success.
Genetics Of Aluminum Tolerance And Diversity In United States Vigna Unguiculata Germplasm, Max Carl Miller
Genetics Of Aluminum Tolerance And Diversity In United States Vigna Unguiculata Germplasm, Max Carl Miller
Tennessee State University Alumni Theses and Dissertations
Cowpea (Vigna unguiculata L. Walp) is an annual legume of immense importance across the world. However, knowledge of its ability to tolerate aluminum (Al) at toxic levels is not as comprehensive. This stress is an issue globally and especially in the southeastern United States, which has many Al-toxic soils. Here we determined multiple cultivars both tolerant and susceptible to Al toxicity. This was expounded upon by employing RNA sequencing on two cultivars from the United States with significantly different tolerance levels to characterize genes and pathways associated with Al toxicity and response. Multiple well-established gene orthologs like STOP, STAR, and …
The Effects Of Applying Self-Regulated Learning Prompts On Academic Achievement In A Public Middle-School Science Classroom, Andrew Barham
The Effects Of Applying Self-Regulated Learning Prompts On Academic Achievement In A Public Middle-School Science Classroom, Andrew Barham
Doctoral Dissertations
Student success in science courses is a critical focus for K–12 educators, particularly during the transition period of middle-school, where students face increasing academic and social demands. Self-regulated learning (SRL) strategies have been shown to enhance academic outcomes by fostering independent learning and metacognitive awareness. However, research on the implementation and effectiveness of SRL interventions in middle school science classrooms, particularly within the constraints of public school settings, remains limited.
This study investigated the effects of an SRL intervention on the academic achievement of eighth-grade students during a six-week astronomy unit. Students from a public middle school in the San …
Effectiveness Of Drill And Imitation Methods In The Application Of Canon And Broken Design Techniques In Feto Hitu Dance, Kadek Paramitha Hariswari, Natalsya Vandana Sape
Effectiveness Of Drill And Imitation Methods In The Application Of Canon And Broken Design Techniques In Feto Hitu Dance, Kadek Paramitha Hariswari, Natalsya Vandana Sape
Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan
This study was motivated by the need to identify effective dance learning methods that enhance dancers’ technical and aesthetic abilities, particularly in applying canon and broken design techniques to creatively reconstructed traditional dances. The purpose of this research is to analyze the effectiveness of the drill and imitation methods in developing dancers’ ability to apply canon and broken techniques in the Feto Hitu dance. The study employed a qualitative descriptive approach using field action methods. Data were collected through observations of the training process, interviews with instructors and dancers, and video documentation at the Dance Studio of the Music Education …
A Force Of Leadership: The Ron Mclaughlin Story, Leahcim Powell
A Force Of Leadership: The Ron Mclaughlin Story, Leahcim Powell
Night Flight: Online Literary Journal
This narrative explores the personal and professional evolution of Ron McLaughlin, an Army Apache helicopter mechanic whose relentless work ethic is shaped by a lifelong fear of failure. Growing up in West Palm Beach, Florida, Ron learns early that discipline–not luck–opens doors, a belief that follows him into military service, where structure and high expectations feed both his ambition and his anxiety. The story follows Ron's journey as he excels in his technical craft, while wrestling with the internal pressure to be perfect, ultimately realizing that leadership extends beyond personal achievements. A pivotal mistake made by a junior soldier under …
Letter To Bob From Mrs. Haskins
Letter To Bob From Mrs. Haskins
Bob Schieffer Vietnam War Collection
Letter to Bob Schieffer from Mrs. S. S. Haskins with a correction in her son's address in Vietnam.