Digital Commons Network^™

Investigating The Role Of Her3 And Met In Non-Small Cell Lung Cancer Cells Resistant To Egfr Tyrosine Kinase Inhibitors, Margaret Larsen, Hui Lyu, Congcong Tan, Yakun Wu

Dr. Joseph M. Moerschbaecher, III Graduate Research Day

No abstract provided.

Predator Odor Stress Reduces Endocannabinoid Signaling And Enhances Subsequent Fear Memory, Mohamed Sayed, J. Dubois, Jessica Fawcett-Patel, Muhammad Farooq

Dr. Joseph M. Moerschbaecher, III Graduate Research Day

No abstract provided.

Theoretical And Computational Analysis Of Synchronization And Frequency Control Of Theta-Nested Gamma In The Medial Entorhinal Cortex, Ananth Vedururu Srinivas, Brandon Williams, Roman Baravalle, John White

Dr. Joseph M. Moerschbaecher, III Graduate Research Day

No abstract provided.

Effect Of Lipid Mediators, Npd1 + Rvd1, After Experimental Stroke Model In Aged Rats, Caroline Peixoto, Carlos Vieira, Alina Mohiuddin, Pranab Mukherjee

Dr. Joseph M. Moerschbaecher, III Graduate Research Day

No abstract provided.

The Effect Of Exercise Type On Working Memory, Ariana Gonzalez, William R. Kochen

Journal for Sports Neuroscience

Martial arts encompass a wide range of sports and techniques that have been practiced for self-defense and combat for thousands of years. It has expanded to include various styles such as Brazilian Jiu-Jitsu, Taekwondo, judo, and karate. It has also been practiced as a form of exercise and entertainment. Martial arts have been associated to discipline, integrity, improved stamina, and increased mental and problem-solving capabilities. Unlike other exercise methods, most martial arts require focus, skill, and technique, which have been hypothesized to improve memory. The purpose of the study was to determine if there was a significant improvement in the …

Driving Healthy Behaviors Through Social Support: The Role Of Co-Responsibility In Weight Loss And Maintenance, Melanie Knufinke-Meyfroyt, Carlo Lancia, Yentl Lodewijks, Simon Nienhuijs, Eva Deckers

Patient Experience Journal

Objective: The effectiveness of out of hospital lifestyle interventions in healthcare is likely co-dependent on social support from involved one's. We sought to investigate the interrelationships between patient-partner Co-responsibility, Spousal Support, and Self-efficacy and the mechanisms through which they contribute to health behaviors and outcomes relevant to weight loss and maintenance. Methods: Co-responsibility, Spousal Support, self-efficacy, health outcomes and health behaviors like total weight loss, physical activity, OBESI-Q, and health satisfaction were assessed through a questionnaire among 868 individuals attempting to lose weight. Full and semi-partial correlations were used to understand the association between Co-responsibility, Spousal Support, Self-efficacy …

Scientific Editor’S Note, Tomasz Zalega

European Management Studies

Scientific Editor’s Note

Grapevine Variety Identification—Methodological Aspects: Sample Preparation, Three-Dimensional Positioning And Morphological Comparison, Michal David, Yekaterina Shapira, Avshalom Karasik, Elyashiv Drori, Ehud Weiss

'Atiqot

The grapevine (Vitis vinifera) is one of the most significant fruits in global economy, today as in the past. The international modern wine industry, traditional agriculture and wild populations encompass thousands of grapevine varieties, the differences between them often imperceptible to the naked eye and therefore, necessitating the application of digital technologies. This study aimed at establishing a methodology for analyzing grapevine pips using a 3D scanner, including an optimal protocol for removing the pips’ tissue to improve the botanical identification of recent and ancient specimens. The study presents mechanical, chemical and biochemical methods used to prepare the pips for …

The Identification Of Ancient Wine Through Organic Residue Analysis Of Ceramic Vessels, Ayala Amir

'Atiqot

Wine was a primary commodity in antiquity and prevalent in the Southern Levant Mediterranean-basin regions and Mesopotamia. Therefore, its identification in archaeological artifacts by chemical analysis is of great importance. Many studies of wine residues were conducted on pottery from Mediterranean and Near Eastern sites, using a wide range of approaches to extract and detect organic compounds. This article will evaluate and compare these methods and raise consequent considerations for the interpretation of results to arrive at a historic picture.

Wine Production In The Byzantine Winepresses Of Southern Israel: Insights From A Statistical Analysis, Matan Chocron, Oren Ackermann, Ilan Stavi, Boaz Zissu

'Atiqot

This paper focuses on various technological aspects of Byzantine winepresses. The Byzantine period presents a unique point in time when the increased demand for wine from the Southern Levant is attested by the introduction of new elements in the architecture and design of the winepress. Whereas past studies have stressed the importance of the introduction of the screw-press, it is shown here that this is but one of numerous features that helped increase the yield. Other elements, such as the addition of a second collecting vat and the integration of fermentation cells contributed significantly to local wine production in the …

Enveloped Virus Inactivation In Downstream Processing With Ecofriendly Surfactants, Caryn Heldt

Michigan Tech Research Data

Sustainable and effective strategies for virus inactivation are crucial for ensuring the safety and quality of biological products. The EU's 2021 ban on Triton X-100 for viral inactivation in biomanufacturing has pushed the field to find sustainable alternatives with equal effectiveness. This study compares the antiviral efficacy of Triton X-100 to two classes of eco- friendly surfactants: non-ionic glucosides and zwitterionic amine oxides. We investigated the dependence of surfactant-mediated virus inactivation on surfactant characteristics (tail length and head type) and on the addition of salt at different ionic strengths. Additionally, we explored the efficacy of surfactants below their critical micelle …

Exploring The Role Of Tissue-Resident T Cells In Neurotropic Viral Infections And Opioid-Induced Immune Disorders During Exposure And Withdrawal, Shenjian Ai

Arts & Sciences Electronic Theses and Dissertations

Tissue-resident T cells play a crucial role in the immune response to neurotropic viral infections and opioid-induced immune disorders. Understanding the roles of tissue-resident T cells in these contexts is essential for developing therapeutic strategies to mitigate their detrimental effects while enhancing their protective functions. The chemokine receptor CXCR6 and its ligand CXCL16 are critical in maintaining the population of tissue-resident T cells in the CNS. CXCR6 is expressed on CD8 T cells that persist in the CNS after recovery from West Nile virus infection. Research has shown that CXCL16, produced by microglia and other myeloid cells, binds to CXCR6 …

The Chanticleer, 2024-11-14, Coastal Carolina University

The Chanticleer Student Newspaper

The editorially independent student produced weekly newspaper of Coastal Carolina University.

The Power Of The Written Word: An Exploration Of Writing As Craft And Pedagogy, Kristen Charlesworth

Master of Arts in English Plan II Graduate Projects

This portfolio is an exploration of writing, both as a crafted process and a subject of pedagogy. It includes three pieces of vastly different genres, which have one overlapping theoretical notion: autonomy is a key ingredient to successful writing at any level. Student success, creative writing, and scholarly research are all enhanced when the writer is given opportunities to guide their own process. The selected works of this portfolio serve as examples of how student autonomy is not only possible in the classroom, but of the overwhelmingly positive effect it has on the writing process, student engagement, and ultimately, academic …

Kei Briefing Note 2024:8 The Basic Proposal For The Design Law Treaty (Dlt) And Its Inappropriate Restrictions On Transparency, James Love

Joint PIJIP/TLS Research Paper Series

The World Intellectual Property Organization (WIPO) is holding a diplomatic conference from November 11 to 22, 2024 in Riyadh, Saudi Arabia, to conclude and adopt a Design Law Treaty (DLT). The negotiators will be working from the documents dated May 10, 2024: a thirty-one page “Basic Proposal For The Design Law Treaty” (DLT/DC/3), and a sixteen page “Basic Proposal For The Regulations Under The Design Law Treaty” (DLT/DC/4), both documents submitted by the Director General of WIPO, as well as a nineteen page, “Notes On The Basic Proposal For The Design Law Treaty” (DTL/DC/5), prepared by the WIPO Secretariat.

While …

Medical School Watercooler Newsletter - November 14, 2024, Lindsay Hughes

Watercooler Newsletter

This is the Thursday, November 14, 2024 edition of the Frederick P. Whiddon College of Medicine's newsletter -- Watercolor.

Contents include:

• Medical student presents poster at annual pathology conference
• Upcoming talk to focus on advancing reproductive advocacy in the South 
• Staff recognized for excellence at annual breakfast with the dean
• Cranford to retire from Continuing Medical Education
• Alford joins USA Health OB-GYN and Whiddon COM faculty

Miguel Villarreal, Miguel Villareal

Oral History Project (all interviews)

Mr. Villarreal currently serves as the interim co-executive director of the National Farm to School Network, where he has been a passionate advocate for connecting schools with local food systems to improve the health and well-being of children nationwide.

Additional Challenges In Computational Enzymology:The Case Studies Of Qm-Cluster Models Of [Ni,Fe] Hydrogenase And Cytochrome P450, Tejaskumar A. Suhagia

Electronic Theses and Dissertations Archive

The increasing complexity of enzyme catalysis requires precise and reproducible computational models to understand reaction mechanisms and support advances in drug design and protein engineering. This dissertation focuses on the advancement of enzyme modeling techniques, particularly in cytochrome P450 and hydrogenase enzymes, through the development of the Residue Interaction Network Residue Selector (RINRUS), an automated toolkit that addresses a critical gap in the reproducibility of quantum mechanics (QM)-cluster models. The RINRUS toolkit automates the systematic selection of catalytically relevant residues for QM-cluster model construction by leveraging residue interaction networks (RINs). By integrating the Probe and Arpeggio tools, RINRUS enhances model …

A Novel Machine Learning Model To Predict Revision Acl Reconstruction Failure In The Mars Cohort, Kinjal Vasavada, Vrinda Vasavada, Jay Moran, Sai Devana, Changhee Lee, Sharon L. Hame, Laith M. Jazrawi, Orrin H. Sherman, Laura J. Huston, Amanda K. Haas, Christina R. Allen, Daniel E. Cooper, Thomas M. Deberardino, Kurt P. Spindler, Michael J. Stuart, Annunziato Ned Amendola, Christopher C. Annunziata, Robert A. Arciero, Bernard R. Bach, Champ L. Baker, Arthur R. Bartolozzi, Keith M. Baumgarten, Jeffrey H. Berg, Geoffrey A. Bernas, Stephen F. Brockmeier, Robert H. Brophy, Charles A. Bush-Joseph, J. Brad Butler V, James L. Carey, James E. Carpenter, Brian J. Cole, Jonathan M. Cooper, Charles L. Cox, R. Alexander Creighton, Tal S. David, Warren R. Dunn, David C. Flanigan, Robert W. Frederick, Theodore J. Ganley, Charles J. Gatt, Steven R. Gecha, James Robert Giffin, Jo A. Hannafin, Norman Lindsay Harris, Keith S. Hechtman, Elliott B. Hershman, Rudolf G. Hoellrich, David C. Johnson, Timothy S. Johnson, Morgan H. Jones, Christopher C. Kaeding, Ganesh V. Kamath, Thomas E. Klootwyk, Bruce A. Levy, C. Benjamin Ma, G. Peter Maiers, Robert G. Marx, Matthew J. Matava, Gregory M. Mathien, David R. Mcallister, Eric C. Mccarty, Robert G. Mccormack, Bruce S. Miller, Carl W. Nissen, Daniel F. O'Neill, Brett D. Owens, Richard D. Parker, Mark L. Purnell, Arun J. Ramappa, Michael A. Rauh, Arthur C. Rettig, Jon K. Sekiya, Kevin G. Shea, James R. Slauterbeck, Matthew V. Smith, Jeffrey T. Spang, Steven J. Svoboda, Timothy N. Taft, Joachim J. Tenuta, Edwin M. Tingstad, Armando F. Vidal, Darius G. Viskontas, Richard A. White, James S. Williams, Michelle L. Wolcott, Brian R. Wolf, Rick W. Wright, James J. York

Rothman Institute Papers

BACKGROUND: As machine learning becomes increasingly utilized in orthopaedic clinical research, the application of machine learning methodology to cohort data from the Multicenter ACL Revision Study (MARS) presents a valuable opportunity to translate data into patient-specific insights.

PURPOSE: To apply novel machine learning methodology to MARS cohort data to determine a predictive model of revision anterior cruciate ligament reconstruction (rACLR) graft failure and features most predictive of failure.

STUDY DESIGN: Cohort study; Level of evidence, 3.

METHODS: The authors prospectively recruited patients undergoing rACLR from the MARS cohort and obtained preoperative radiographs, surgeon-reported intraoperative findings, and 2- and 6-year follow-up …

The Impacts Of Recreational Infrastructure On Mammal Use Of Riparian Zones In Northern California Regional Parks, Emily A. Matthews

Master's Theses

Public lands have been important for the protection of riparian habitats; however, many public lands are also used for recreation, which can reduce mammal habitat use. Understanding how mammals are affected by recreation in riparian areas can help guide management decisions. The goal of this research is to understand the effect of recreation on mammal use of riparian habitats in two popular East Bay Regional Parks, Charles Lee Tilden and Wildcat Canyon, and to map the extent of that impact. Cameras were deployed in the riparian areas of a high, moderate, and low development site (Alvarado, Tilden, and Wildcat Canyon) …

Investigating Spatiotemporal Trends Using Precursory Signatures: Implications To Develop Short-Term Earthquake Forecasting Techniques In Sumatra-Andaman Region, Ramya Jeyaraman J

Theses and Dissertations

Earthquake forecasting is a challenging field due to Earth's heterogeneous nature. This research aims to develop a short-term earthquake forecasting model by analyzing spatiotemporal trends and precursory signatures in the Sumatra-Andaman region, known for its high seismic activity and tsunami risk. The study adopts an interdisciplinary approach, integrating solid earth tides (SET), micro shocks, and outgoing longwave radiation (OLR) to gain deeper insights into seismic nucleation processes. The research begins by using Singular Spectral Analysis (SSA) to identify potential seismically vulnerable areas through the analysis of irregularities in SET.

A spatiotemporal analysis of micro shocks is conducted to assess the …

Cactus Infused Beads For Off-Flavor Mitigation In Aquaculture Systems, Rama Mahita Kambhampati

USF Tampa Graduate Theses and Dissertations

Aquaculture has become a vital component of global food production, now providing 50% of the world's fish supply. However, the industry encounters major challenges due to off-flavor compounds like Geosmin and 2-Methylisoborneol (MIB), which give fish an unpleasant earthy or musty smell. These compounds are detectable by humans at extremely low levels 0.7 parts per billion (ppb) for MIB and ten parts per trillion (ppt) for Geosmin—making them a persistent problem. Their presence not only reduces the sensory quality of aquaculture products but also results in significant economic losses, with U.S. catfish production incurring an additional $15–$23 million annually due …

The Role Of Sox9 In Epicardial-Mediated Cardiovascular Development And Valve Homeostasis, Andrew Brantley Harvey

MUSC Theses and Dissertations

Congenital heart defects (CHDs) are the most common birth defects in humans, affecting as many as 1% of live births, thereby representing a major public health burden. These defects arise when signaling pathways and mechanical forces guiding heart development are disrupted, either by genetic mutations, aneuploidies, environmental influences, or any combination of these factors. The vast majority of CHDs have undetermined etiologies. Understanding the molecular and cellular mechanisms of normal heart development is critical for unraveling the origins of CHDs and for developing more effective diagnostics and interventional treatments for those affected by cardiovascular diseases of developmental origin.

The epicardium …

The Impact Of Smartphones On Middle School Students, Michael C. Mackenize

Student Theses and Dissertations

The purpose of this qualitative case study was to examine how smartphones impacted the behavioral, academic, and emotional intelligence of middle school students. This study applied the theoretical framework of self-regulation theory and social learning theory to determine how smartphones impacted students. This qualitative case study included one research question 1) What are the impacts of smartphones on middle school students, with the following sub-questions on academics, behavior, and social-emotional intelligence. To answer the research question, a parent and teacher questionnaire was developed and administered, along with a series of classroom observations conducted over two weeks. Additionally, for triangulation, member …

A Quantitative Investigation Of Teacher Personality On Teacher-Student Relatedness, Student Intrinsic Motivation, And Academic Performance, Nickie P. Smith Ii

Student Theses and Dissertations

This quantitative study aimed to investigate the influence of teacher personality on teacher-student relatedness, student intrinsic motivation, and academic performance. The pressing need to understand the factors influencing educational outcomes driving this study arises from the desire to enhance teaching effectiveness and student success. By comprehensively examining the influence of teacher personality traits on teacher-student relatedness, student intrinsic motivation, and academic performance, educators and policymakers can develop targeted interventions and strategies to optimize learning environments and improve overall educational outcomes. influence. The current study elucidated the relationships between specific teacher personality traits, namely openness, conscientiousness, extraversion, agreeableness, and neuroticism, and …

Impact Of Adverse Childhood Experiences On Academic, Behavioral, And Emotional, Success Of Elementary School Children, Marsha Wallace

Student Theses and Dissertations

Adverse childhood experiences (ACEs) are prevalent among all demographic characteristics, however, higher rates of adversities occur in vulnerable populations such as females, children, young adults, minorities, and multiracial individuals. This exploratory qualitative study aimed (a) to investigate the impact adverse childhood experiences have on diagnoses such as ADHD, ED, or ODD and (b) to explore the effects of ACEs on elementary school-aged children. The frameworks guiding this study were Bronfenbrenner’s Bioecological Human Development, which focuses on environmental factors, and Maslow’s Hierarchy of Needs, which concentrates on the required satisfaction of needs. Fifteen parents of 5 to 10-year-old children in a …

Multitiered Systems Of Support And The Achievement Gap In The Washington, Dc, Metropolitan Mid-Atlantic Region: An Analysis Of Teacher Perceptions Of Effectiveness, Demarco Ray Brooks

Student Theses and Dissertations

Efforts to bridge educational achievement gaps and address inequities remain a central challenge across the United States. The multitiered system of supports has emerged as a prominent intervention framework with which to equip educators for this task. Given its growing adoption across school districts, a deeper understanding of teacher perspectives on the effectiveness of the framework is vital to efforts by educational stakeholders, leaders, and officials to eliminate achievement gaps. This study specifically involved exploration of teacher perceptions regarding the impact of the framework on marginalized students’ academic achievement and its use to close achievement gaps. Analysis of interviews and …

Addressing Statistical Challenges In The Analysis Of Proteomics Data With Extremely Small Sample Size: A Simulation Study, Kyung Hyun Lee, Shervin Assassi, Chandra Mohan, Claudia Pedroza

Faculty, Staff and Student Publications

Background: One of the most promising approaches for early and more precise disease prediction and diagnosis is through the inclusion of proteomics data augmented with clinical data. Clinical proteomics data is often characterized by its high dimensionality and extremely limited sample size, posing a significant challenge when employing machine learning techniques for extracting only the most relevant information. Although there is a wide array of statistical techniques and numerous analysis pipelines employed in proteomics data analysis, it is unclear which of these methods produce the most efficient, reproducible, and clinically meaningful results.

Results: In this study, we compared 9 unique …

High School Seniors Return For Most Conference Reunion, Edwin Smith

University of Mississippi News

OXFORD, Miss. – Before Deja Johnson earned her undergraduate degree from the University of Mississippi in May, she attended the 2019 Mississippi Outreach to Scholastic Talent Conference and served as a mentor and peer coordinator at subsequent MOST Conferences.

Some Free Boundary Problem Arising In Rock Mechanics, Anvarbek Meirmanov, Koblandy Yerzhanov

Turkish Journal of Mathematics

An initial boundary value problem for the in-situ leaching of rare metals with the acid solution in the elastic skeleton is considered. First, we describe physical processes at the microscopic level with a dimensional pore size [[EQUATION]]1 by the model [[EQUATION]], where dynamics of the incompressible solid skeleton is described by the Lamé equations and the physical process in the pore space by the Stokes equations for the incompressible fluid in combination with the diffusion and transport equations for the concentration of acid and product of chemical reactions. Since the solid skeleton changes its geometry upon dissolution, the “pore space …