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Articles 213631 - 213660 of 5210816
Full-Text Articles in Entire DC Network
Meditation Or Medication: Comparing Meditation To Phosphatidylserine In The Reduction Of Salivary Cortisol In Collegiate Tennis Players Post Exercise, Elizabeth Hughes
Meditation Or Medication: Comparing Meditation To Phosphatidylserine In The Reduction Of Salivary Cortisol In Collegiate Tennis Players Post Exercise, Elizabeth Hughes
Liberty University Research Week
Background: Cortisol is increased in the body in response to the reception of stress input, such as exercise or an emotional event. When this occurs, the hypothalamic-pituitary-adrenal (HPA) axis directs the adrenal cortex to release cortisol, thus raising cortisol levels.1 Phosphatidylserine (PS) is a glycerophospholipid made in the body that is a part of the cell membrane.2,3 PS reduces cortisol levels in the body.3 Meditation is a “consistent self-care practice…that allows for developing loving awareness of current thoughts and feelings.”4(p.37) Sadimi et al 4 used mindfulness meditation and found cortisol reductions were high. Meditation (MED) has not been compared to …
Prevalence Of Concussions By Positions In Division 1 Football Teams, Colton Mcguire
Prevalence Of Concussions By Positions In Division 1 Football Teams, Colton Mcguire
Liberty University Research Week
Understanding and preventing concussions in football has made significant progress over the years. However, it remains crucial to examine whether certain positions or positional groups have a higher prevalence of concussions. To explore this, two Division 1 universities were surveyed to assess the number of concussions sustained during the 2024 season. An analysis was conducted to identify which position, or positional group had the highest concussion rates. The results indicated that wide receivers were most frequently affected, with one school reporting three out of nine concussions in this position, while the other recorded four out of nine. By analyzing this …
Molecular Basis Of 24-Methyl Cholesterol As An Anti-Renal Clear Cell Carcinoma Agent In The Context Of Altered Cellular Glucose Metabolism, Josiah Chung
Liberty University Research Week
Cancer is one of the leading causes of death as the World Health Organization estimates that one in six deaths is attributed to cancer globally. The American Cancer Society recorded over 400,000 new cases of kidney cancer developed globally with 80,000 new cases in the US in 2024. Of these renal carcinomas are the most common type. They are also associated with poor metabolic health. The Virginia Department of Health found that kidney cancer was the ninth most common cancer in Virginia with over 1,300 new cases of kidney cancer in 2021. Renal cell carcinomas (RCC) make up about 90% …
Effects Of Patterned Peening On 304l Stainless Steel Fatigue Life, Joshua Clayton
Effects Of Patterned Peening On 304l Stainless Steel Fatigue Life, Joshua Clayton
Liberty University Research Week
Position and Energy Controlled Surface Mechanical Attrition Treatment (PECSMAT) has increased the High Cycle Fatigue (HCF) life of 304L stainless steel (SS). Previous studies have increased the fatigue life of 304L SS via Shot Peening (SP) and Surface Mechanical Attrition Treatment (SMAT). A novel technique called PECSMAT was recently been used to increase the yield strength of 304 SS and can potentially increase fatigue life. This study includes the preparation of 304L round stock into fatigue samples which were then annealed to produce a consistent grain structure and remove any history effects. Some samples were treated by the PECSMAT process …
Social Connectedness And Treatment Adherence In Counseling: A Pilot Study, Anessa Wells
Social Connectedness And Treatment Adherence In Counseling: A Pilot Study, Anessa Wells
Liberty University Research Week
The purpose of the current study is to examine the relationship between a client's amount of loneliness and hope and their adherence to treatment (e.g., sessions missed, sessions rescheduled, dropping out of treatment). Many times, clients who are lonely may not have an extensive support system to encourage them in the counseling process, thus resulting in premature termination or poor treatment outcomes. Clients at Thomas Road Counseling Center were surveyed at the beginning and end of treatment on their presenting problem, loneliness, social connection, and hope using self-report questionnaires. Their counselors were surveyed on the client’s improvement in symptoms and …
Characterization Of The Mechanism(S) By Which Select Compounds, Found In Coffee, Stimulate Glucose Uptake In 3t3-L1 Differentiated Adipocytes, Brooke Chapple, John Spiaggia
Characterization Of The Mechanism(S) By Which Select Compounds, Found In Coffee, Stimulate Glucose Uptake In 3t3-L1 Differentiated Adipocytes, Brooke Chapple, John Spiaggia
Liberty University Research Week
Type-2 diabetes (T2D) is a major health concern and continues to be on the rise, currently affecting around 462 million people globally. One promising area of research is the pursuit of novel, natural, cost-effective methods of T2D treatment and prevention. Recent research shows a negative correlation between coffee consumption and T2D. This observation supports the rationale for studies dedicated to the examination of coffee and its rich variety of small molecules with the potential to promote glucose homeostasis. Polyphenols have been well-reported to attenuate several complications associated with T2D including inflammation, hypertension, and oxidative stress. Interestingly, previous work has indicated …
Prevalence Of Long Covid In Liberty University College Students, Faith Dillmuth, Nicole Durham
Prevalence Of Long Covid In Liberty University College Students, Faith Dillmuth, Nicole Durham
Liberty University Research Week
Long COVID is a newly observed set of symptoms lasting for an extended period after a COVID-19 diagnosis. As such, the public health community is examining the long-term effects of COVID, especially in otherwise healthy communities like college-aged students. The aim of this study was to determine the prevalence of Long COVID symptoms in Liberty University’s residential population. Knowing the prevalence of Long COVID can determine the relationship between symptoms and impairment, which leads to better treatment protocols, improved accommodations for students, and further research into the lasting effects. The data were collected through an online survey, and the patterns …
Epidemiology Of Tick-Borne Diseases In Central Virginia: Analyzing Geographic And Demographic Risk Factors To Inform Public Health Interventions, May 2005 – August 2024, Oluwatosin Marylyn Oduneye, Cali Anderson, Zachary Unger
Epidemiology Of Tick-Borne Diseases In Central Virginia: Analyzing Geographic And Demographic Risk Factors To Inform Public Health Interventions, May 2005 – August 2024, Oluwatosin Marylyn Oduneye, Cali Anderson, Zachary Unger
Liberty University Research Week
Objective: This study aims to explore the epidemiology of Tickborne Diseases (TBDs) in Central Virginia, focusing on identifying geographic and demographic risk factors and informing the development of culturally competent public health messaging to enhance prevention and intervention strategies. Methods: Data were obtained from the Virginia Electronic Disease Surveillance System (VEDSS) for the counties within the Central Virginia Health District (Amherst, Appomattox, Bedford, Campbell, and Lynchburg City), spanning from 2005 to August 2024. The analysis utilizes key variables such as MMWR Year, Case Status, Geographic Variables (county), and Demographic Variables (age, sex, ethnicity, and race) to assess specific tickborne diseases, …
Sensitivity Of A Deep Jscc To Changes In The Number Of Layers Of A Cnn, Hannah Murai
Sensitivity Of A Deep Jscc To Changes In The Number Of Layers Of A Cnn, Hannah Murai
Liberty University Research Week
Implementing convolutional neural networks in a deep joint source and channel coding (JSCC) scheme requires many hyperparameters. Although previous research has investigated the efficiency of a deep JSCC compared to traditional transmission schemes, the sensitivity of the model to differing numbers of layers has not been investigated. We have shown that a deep JSCC scheme’s sensitivity to changes in the number of layers is affected by the value of the Signal to Noise Ratio (SNR) for which it is trained. Utilizing code from GitHub for a deep JSCC, we modified the number of layers in the script and trained and …
Clean Water Crisis In The Democratic Republic Of Congo: Assessing Challenges And Developing Sustainable Solutions, Samy Tshileu
Clean Water Crisis In The Democratic Republic Of Congo: Assessing Challenges And Developing Sustainable Solutions, Samy Tshileu
Liberty University Research Week
Water is essential for both spiritual and physical well-being. Just as Jesus offers us living water for spiritual growth, clean drinking water is necessary for physical health, survival, and human flourishing. From a scientific perspective, human bodies begin to show signs of dehydration and fatigue after just three days without water, with this scarcity ultimately leading to life-threatening conditions. This truth highlights the crucial role of water in sustaining human life. However, many developing nations do not have access to clean drinking water. One of these nations is the Democratic Republic of Congo (DRC). According to the United Nations Environment …
Global Trends In Sugar-Sweetened Beverages Consumption And Impact To Chronic Diseases In North America: A Retrospective Longitudinal Analysis (1990 – 2021), Ginika Muomah
Liberty University Research Week
Introduction: Sugar-sweetened beverages (SSBs) are a primary source of added sugars in global diets, strongly linked to adverse health outcomes, including obesity, type 2 diabetes, and cardiovascular diseases. Despite extensive research, excessive sugar intake remains a significant public health issue. This study aims to evaluate the association between SSB intake and the prevalence of chronic diseases across World Bank regions. Methods: A retrospective longitudinal analysis was conducted using Global Burden of Disease (GBD) data from the Institute for Health Metrics and Evaluation (IHME) from 1990 to 2021. This dataset includes information from 204 countries, categorized into seven World Bank regions. …
Simulation-Based Design Optimization Of Active-Control Rocket Canards In Subsonic Flight, Simon Babcock, Christopher Jaus, Evan Carmello, Judah Finley, Kaelyn Haynie, Robert Rivera, Samuel Worthington, Zizai Liu
Simulation-Based Design Optimization Of Active-Control Rocket Canards In Subsonic Flight, Simon Babcock, Christopher Jaus, Evan Carmello, Judah Finley, Kaelyn Haynie, Robert Rivera, Samuel Worthington, Zizai Liu
Liberty University Research Week
Rocket canards are small, vertical control surfaces located above a rocket’s main rear fins, typically just below the nosecone, providing active-control maneuverability during flight. When an internal mechanism rotates the canards about their center relative to the rocket air frame, they achieve an angle of attack and produce a lifting force perpendicular to the airflow and tangential to the curvature of the air frame. This lifting force causes a moment relative to the rocket’s center of gravity along both the roll and pitch axes, which can be used to stabilize the rocket mid-flight by providing corrective adjustments to the rocket’s …
Exploring Preclinical Signs And Markers For Neurodegenerative Diseases Via Indirect Testing Of Blood-Brain Barrier Stability, James Brown, Abiha Jafri, Cathryn Martinez, Corey Snyder, Efosa Osayamwen, Emily Dykema, Hadley Brockbank, John Hoegerl, Joseph Ponce, Joshua Ashworth, Karen Kang, Ryan Deweese, Sanobar Shaikh, William Dedmond
Exploring Preclinical Signs And Markers For Neurodegenerative Diseases Via Indirect Testing Of Blood-Brain Barrier Stability, James Brown, Abiha Jafri, Cathryn Martinez, Corey Snyder, Efosa Osayamwen, Emily Dykema, Hadley Brockbank, John Hoegerl, Joseph Ponce, Joshua Ashworth, Karen Kang, Ryan Deweese, Sanobar Shaikh, William Dedmond
Liberty University Research Week
Mild cognitive impairment (MCI) arises from inflammation and internal damage occurring within the brain and its surrounding tissues. By the time the various MCI symptoms and systemic inflammation present clinically, significant damage to the blood-brain barrier (BBB) has already occurred. Given current understanding and treatment options, little can be done to reverse the damage; thus, treatment is primarily reactive. This study seeks to evaluate patients presenting with known dementia risk factors (i.e., medication history, relevant pre-existing medical conditions, genetics, etc.) and potential pre-clinical serum-based biomarkers (i.e., GFAP, NfL, IL-6, MMP-3, etc.) identified through a comprehensive literature review. Utilizing a combination …
Medial Tibial Stress Syndrome After Intramedullary Nailing For A Distal Tibial Fracture: A Case Study, Taylor Swartz
Medial Tibial Stress Syndrome After Intramedullary Nailing For A Distal Tibial Fracture: A Case Study, Taylor Swartz
Liberty University Research Week
Background: The gold standard for tibial shaft fractures includes tibial fixation with intramedullary nailing. There are several complications following this surgical procedure, but Medial Tibial Stress Syndrome (MTSS) was not included in research. Patient: A 19-year-old female Division I soccer player had an open treatment of a right tibial shaft fracture with intramedullary nailing after a distal transverse fracture while playing soccer. Due to pain with kicking, the distal nails located on the distal tibial shaft were removed. Post surgically, the patient reported a significant increase in shin pain while returning to activity, which was later attributed to medial tibial …
Effects Of Ph And Ionic Strength On Aggregation Of Surfactants And Preservatives In Biologic Drug Formulations, Bethany Elmore
Effects Of Ph And Ionic Strength On Aggregation Of Surfactants And Preservatives In Biologic Drug Formulations, Bethany Elmore
Liberty University Research Week
Multi-injection biologic drugs, such as insulin, must be formulated with different excipients to remain stable and sterile. In particular, use of nonionic surfactants and small molecule preservatives increases drug stability and prevents antimicrobial contamination, respectively. Nonionic surfactants or preservatives on their own are well soluble in water and cause no aggregation. However, when combined, aggregation occurs creating adverse turbidity and instability. Previous work shows that preservatives such as phenol in combination with the surfactants such as poloxamer 188 (P188) result in micelle formation and ultimately unstable turbidity. This occurs at concentrations well below the solubility limits of each individual material. …
Application For Prediction Of Heart Failure; The Next Step In Machine Learning For Healthcare, Amy Adyanthaya, Dawn Bowerman, Rachel Liercke, Robert Slater
Application For Prediction Of Heart Failure; The Next Step In Machine Learning For Healthcare, Amy Adyanthaya, Dawn Bowerman, Rachel Liercke, Robert Slater
SMU Data Science Review
Heart failure (HF) is a serious medical condition affecting approximately 6.7 million U.S. adults and is expected to impact 8.5 million Americans by 2030 [1]. Heart failure is a complicated clinical ailment and characterizes the final course of numerous heart diseases [2]. This paper introduces a machine-learning-based application that utilizes Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), and XGBoost models, implemented through the Python Flask framework, to predict HF risk using clinical data. The results indicate high model performance, with precision and recall metrics underscoring the application’s reliability in identifying at-risk patients. By providing real-time, accessible insights, this tool aims …
Multi-Agent Translation Team (Matt): Enhancing Low-Resource Language Translation Through Multi-Agent Workflow, Anishka Peter, Mai Dang, Michael Liu, Joaquin Dominguez, Nibhrat Lohia
Multi-Agent Translation Team (Matt): Enhancing Low-Resource Language Translation Through Multi-Agent Workflow, Anishka Peter, Mai Dang, Michael Liu, Joaquin Dominguez, Nibhrat Lohia
SMU Data Science Review
Like humans, large language models (LLMs) benefit from revision and refinement, especially for complex tasks requiring critical thinking. Inspired by human collaborative problem-solving, this study introduces a novel multi-agent workflow designed to enhance LLM translations from English to low-resource languages. Multi-Agent Translation Team (MATT) involves the collaboration of agents that are assigned specific roles, such as translator, evaluation coordinator, and various levels of editing, to refine the initial translation into the most desired version possible. The agents work collaboratively in an iterative loop until the translation loss meets a satisfactory threshold. It stands out from other multi-agent workflows by combining …
Enhancing Animal Shelter Operations With Time Series And Machine Learning, Sakava L. Kiv, Donald L. Anderson, Shivam Negi, Jacquelyn Cheun
Enhancing Animal Shelter Operations With Time Series And Machine Learning, Sakava L. Kiv, Donald L. Anderson, Shivam Negi, Jacquelyn Cheun
SMU Data Science Review
Enhancing animal shelter operations through machine learning involves employing a variety of advanced techniques aimed at increasing efficiency, promoting animal welfare, and optimizing resource allocation. This paper explores predictive analytics for adoption rates using regression models to estimate the likelihood of adoption based on historical data, encompassing variables such as breed, health status, and previous adoption trends. Additionally, classification algorithms are utilized to categorize animals by adoption probability, facilitating better resources and marketing prioritization. Clustering algorithms are employed to group animals according to behavior patterns and/or physical health, enabling tailored medical care and enrichment activities that improve their mental and …
Enhancing Network Security Through Dual-Layer Log Analysis: Integrating Machine Learning Classifiers With Large Language Models For Intelligent Anomaly Detection, Anthony Burton-Cordova, O'Neil Gray, Mohammad Al Rousan
Enhancing Network Security Through Dual-Layer Log Analysis: Integrating Machine Learning Classifiers With Large Language Models For Intelligent Anomaly Detection, Anthony Burton-Cordova, O'Neil Gray, Mohammad Al Rousan
SMU Data Science Review
This paper presents an innovative approach to enhancing network security by integrating machine learning algorithms with fine-tuned large language models (LLMs) to provide an expert assistant querying. The proposed method utilizes machine learning for efficient preprocessing and feature extraction from log data, followed by the application of a fine-tuned LLM to analyze and interpret anomalies with greater accuracy. This dual-layer detection system is designed to improve the identification of subtle and sophisticated security threats. The research team’s extensive evaluation using real-world log datasets indicates that the combined approach increases detection rates and communicates results in an understandable manner, demonstrating its …
The Effects Of Palm Cooling On Repeat Sprint Ability Following A Fatigue Inducing Protocol In Collegiate Female Athletes, Ella Wrabley, Britta Lagerquist, Grace Smith, Rachel Jones, Madeline Mcneilly, Jeff Buxton, Hayden Gerhart, Phillip Prins
The Effects Of Palm Cooling On Repeat Sprint Ability Following A Fatigue Inducing Protocol In Collegiate Female Athletes, Ella Wrabley, Britta Lagerquist, Grace Smith, Rachel Jones, Madeline Mcneilly, Jeff Buxton, Hayden Gerhart, Phillip Prins
International Journal of Exercise Science
International Journal of Exercise Science 18(3): 415-426, 2025. Cooling glabrous skin sites, such as the palms, can mitigate core body temperature rise and delay fatigue during physical activity, potentially enhancing performance. However, research on palm cooling (PC) in female athletes remains limited, and existing devices are often costly or impractical. This study evaluated the effects of PC using a novel, cost-effective portable device on repeat sprint ability in female collegiate athletes after a fatiguing protocol. Twenty female athletes (age: 20.1±1.4 years; height: 166.7±6.9 cm; mass: 66.6±9.8 kg; BMI: 24.0±3.9 kg/m²; body fat: 24.9±4.6%) participated in a randomized crossover study. Sessions …
The Tax Adviser, Volume 17, Number 2, February 1986 [Whole Issue], American Institute Of Certified Public Accountants
The Tax Adviser, Volume 17, Number 2, February 1986 [Whole Issue], American Institute Of Certified Public Accountants
Tax Adviser
No abstract provided.
Tax Trends, Nicholas J. Fiore
Thumbtax, Sandra K. Lewis
Trade Or Business Status: Recent Judicial Interpretations, Daniel M. Slattery, Susan Nordhauser
Trade Or Business Status: Recent Judicial Interpretations, Daniel M. Slattery, Susan Nordhauser
Tax Adviser
No abstract provided.
Post-Reconstruction Sec. 367: New Rules And New Dangers, Wesley Yang, Davis W. Nelson
Post-Reconstruction Sec. 367: New Rules And New Dangers, Wesley Yang, Davis W. Nelson
Tax Adviser
No abstract provided.
Tax Clinic, Thomas Ochsenschlager
Disclaimers As Premortem And Postmortem Estate Planning Tools, Travis P. Goggans, Michael R. Harmon
Disclaimers As Premortem And Postmortem Estate Planning Tools, Travis P. Goggans, Michael R. Harmon
Tax Adviser
No abstract provided.
Analysis Of The Reverse Triangular Merger Regulations, Robert Willens
Analysis Of The Reverse Triangular Merger Regulations, Robert Willens
Tax Adviser
No abstract provided.
Kutztown University 2025 Composition Conference Program, English Department, Kutztown University
Kutztown University 2025 Composition Conference Program, English Department, Kutztown University
KUCC -- Kutztown University Composition Conference
Program Booklet
Research Days 2025 Program, Governors State University
Research Days 2025 Program, Governors State University
Research Days
No abstract provided.