Digital Commons Network^™

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 …

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 …

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 …

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 …

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 …

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

Conference Report: Review Of Clinical Implementation Of Advanced Quantitative Imaging Techniques For Personalized Radiotherapy, Yevgeniy Vinogradskiy, Houda Bahig, Nicholas Bucknell, Jeffrey Buchsbaum, Hui-Kuo George Shu

Department of Radiation Oncology Faculty Papers

The topic of quantitative imaging in radiation therapy was presented as a "Masterclass" at the 2023 annual meeting of the American Society of Radiation Oncology (ASTRO). Dual-energy computed tomography (CT) and single-positron computed tomography were reviewed in detail as the first portion of the meeting session, with data showing utility in many aspects of radiation oncology including treatment planning and dose response. Positron emission tomography/CT scans evaluating the functional volume of lung tissue so as to provide optimal avoidance of healthy lungs were presented second. Advanced brain imaging was then discussed in the context of different forms of magnetic resonance …

Intersections Of Living And Machine Agencies: Art-Based Models Of Adaptive Conversation With The More-Than-Human World, Carlos Castellanos

Tradition Innovations in Arts, Design, and Media Higher Education

Today’s AI systems are not built to have reciprocal interplay with their environments and thus they demonstrate little interest in emergence, adaptation or developing mutually productive relationships with the natural world. Is a different kind of AI possible? How can artists contribute to its development? In this essay, I will discuss ways in which the arts might help guide us towards a new kind of AI, built upon adaptive conversation (i.e. shared construction of meaning) with nature. I will discuss how can work with AI while also challenging its prevailing ontology, and even suggest alternative ontologies and epistemologies. I will …

Montana Kaimin, November 14, 2024, Students Of The University Of Montana, Missoula

Montana Kaimin, 1898-present

Student newspaper of the University of Montana, Missoula.

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.

Moment-Based Approximation For Variance Of Semi-Markovian Random Walk With Gamma Distributed Interference Of Chance, Büşra Alakoç, Asli Bektaş Kamişlik, Tülay Yazir, Tahi̇r Khaniyev

Turkish Journal of Mathematics

This study proposed moment-based approximations for the expected value and variance of the ergodic distribution of the semi-Markovian random walk process (X(t)) with gamma distributed interference of chance. Many studies have investigated analogous moment problems by using asymptotic approach. The key distinguishing aspect of this study from others in the literature is obtaining Kambo’s approximations for the moments of X(t) instead of asymptotic expansions. Firstly, the approximation formulas for the moments of boundary functional SN(z) of X(t) were obtained. Then using these results, approximation formulas for the first two moments of the ergodic distributions of X(t) were derived. Finally, the …

Some Complementary Results On Asymptotic Behavior Of Solutions Of Neutral Difference Equations, Nour H. M. Alsharif, Başak Karpuz

Turkish Journal of Mathematics

This paper focuses on examining the boundedness and asymptotic behavior of all solutions of the neutral difference equations\begin{equation}\Delta[x_{n}-p_{n}x_{n-\kappa}]+q_{n}x_{n-\ell}=0\quad\text{for}\ n=0,1,\cdots,\label{abseq1}\tag{$\star$}\end{equation}and\begin{equation}\Delta[x_{n}-px_{n-\kappa}]+q_{n}x_{n-\ell}=0\quad\text{for}\ n=0,1,\cdots,\label{abseq2}\tag{$\star\star$}\end{equation}where $\kappa,\ell\in\N$, $\{p_{n}\}\subset[0,1)$, $p\in[0,1)$ and $\{q_{n}\}\subset[0,\infty)$.Diverging from much of the existing literature, our results accommodate the scenario where$\{p_{n}\}\subset[\frac{1}{2},1)$ and $p\in[\frac{1}{2},1)$ for \eqref{abseq1} and \eqref{abseq2}, respectively.Furthermore, we underscore the practical implications of our results through the presentation of numerical examples. This paper focuses on examining the boundedness and asymptotic behavior of all solutions of the neutral difference equations \begin{equation} \Delta[x_{n}-p_{n}x_{n-\kappa}]+q_{n}x_{n-\ell}=0\quad\text{for}\ n=0,1,\cdots,\label{abseq1}\tag{$\star$} \end{equation} and \begin{equation} \Delta[x_{n}-px_{n-\kappa}]+q_{n}x_{n-\ell}=0\quad\text{for}\ n=0,1,\cdots,\label{abseq2}\tag{$\star\star$} \end{equation} where $\kappa,\ell\in\N$, $\{p_{n}\}\subset[0,1)$, $p\in[0,1)$ and $\{q_{n}\}\subset[0,\infty)$. Diverging from much of the existing literature, our results …

Numerical Solutions Of Sird Model Of Covid-19 By Utilizing Pell-Lucascollocation Method, Gamze Yildirim, Şuayi̇p Yüzbaşi

Turkish Journal of Mathematics

This article presents an SIRD model based on the evolution of Coronavirus Disease 2019 (COVID-19) caused by SARS-CoV-2 from the coronavirus family. Firstly, we constitute Pell-Lucas collocation method (PLCM) for this model. According to method, the matrix forms of the Pell-Lucas polynomials (PLPs) are constituted. By utilizing this matrix forms, solution forms and all terms in this model are expressed in matrix form. Thus, PLCM transforms our model into a system of the matrix equations. By solving this system, the approximate solutions are obtained. In addition, the error analysis is also presented. In the examples of this study, we analyzed …

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 …

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 …

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 …

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 …

Exploring In-Service Science Teachers' Self-Perceptions Of Competence And Pedagogical Approaches To Socioscientific Issues In Education, Arberore Bicaj, Fatlume Berisha, Rachel Gisewhite

Faculty Publications

Global education experts are increasingly prioritizing scientific literacy development. Science education is key to enhancing scientific literacy, fostering social responsibility, and supporting economic growth by equipping individuals with essential scientific knowledge and skills. In the past two decades, socioscientific issues (SSI) have greatly influenced science education research, improving students’ ability to apply scientific knowledge in real-world contexts and advancing functional scientific literacy. Given the strong evidence that socioscientific issues (SSI) enhance scientific literacy and social responsibility skills, understanding SSI role in science education is crucial for developing countries aiming to boost economic and social growth. This research aimed to understand …

Chasing A Little-Known Fairy Bee (Perdita Meconis) In A Dynamic Desert Landscape, Sarit Chanprame, Colleen Meidt, Terry Griswold, Joseph S. Wilson, Kelsey K. Graham

Biology Student Research

The Mojave poppy bee, Perdita meconis Griswold, is a small fairy bee endemic to the eastern Mojave Desert, known to be associated with the Las Vegas Bearpoppy, Arctomecon californica. Because of the reported decline in populations of P. meconis, it has been targeted for protection under the Endangered Species Act. Here, we present the results of a 3-year study investigating the current distribution and floral preferences of P. meconis in Clark County, Nevada. We found that populations of P. meconis fluctuated dramatically from 2020 to 2022. This area experienced extreme drought conditions during these years, which consequentially affected …

Structural Proteomics Defines A Sequential Priming Mechanism For The Progesterone Receptor, Patrick Griffin, Matthew Mann, Min Wang, Josephine Ferreon, Michael Suess, Antrix Jain, Anna Malovannaya, Roberto Vera Alvarez, Bruce Pascal, Raj Kumar, Dean Edwards

Faculty, Staff and Students Publications

The progesterone receptor (PR) is a steroid-responsive nuclear receptor with two isoforms: PR-A and PR-B. Disruption of PR-A:PR-B signaling is associated with breast cancer through interactions with oncogenic co-regulatory proteins (CoRs). However, molecular details of isoform-specific PR-CoR interactions remain poorly understood. Using structural mass spectrometry, we investigate the sequential binding mechanism of purified full-length PR and intact CoRs, steroid receptor coactivator 3 (SRC3) and p300, as complexes on target DNA. Our findings reveal selective CoR NR-box binding by PR and unique interaction surfaces between PR and CoRs during complex assembly, providing a structural basis for CoR sequential binding on PR. …

Pvacview: An Interactive Visualization Tool For Efficient Neoantigen Prioritization And Selection, Huiming Xia, My H Hoang, Evelyn Schmidt, Susanna Kiwala, Joshua Mcmichael, Zachary L Skidmore, Bryan Fisk, Jonathan J Song, Jasreet Hundal, Thomas Mooney, Jason R Walker, S Peter Goedegebuure, Christopher A Miller, William E Gillanders, Obi L Griffith, Malachi Griffith

2020-Current year OA Pubs

BACKGROUND: Neoantigen-targeting therapies including personalized vaccines have shown promise in the treatment of cancers, particularly when used in combination with checkpoint blockade therapy. At least 100 clinical trials involving these therapies have been initiated globally. Accurate identification and prioritization of neoantigens is crucial for designing these trials, predicting treatment response, and understanding mechanisms of resistance. With the advent of massively parallel DNA and RNA sequencing technologies, it is now possible to computationally predict neoantigens based on patient-specific variant information. However, numerous factors must be considered when prioritizing neoantigens for use in personalized therapies. Complexities such as alternative transcript annotations, various …

The Relationship Between Spectral Signals And Retinal Sensitivity In Dendrobatid Frogs, Whitney G. Walkowski, Corinne L. Richards-Zawacki, William C. Gordon, Nicolas G. Bazan, Hamilton E. Farris

School of Graduate Studies Faculty Publications

Research on visually driven behavior in anurans has often focused on Dendrobatoidea, a clade with extensive variation in skin reflectance, which is perceived to range from cryptic to conspicuous coloration. Because these skin patterns are important in intraspecific and interspecific communication, we hypothesized that the visual spectral sensitivity of dendrobatids should vary with conspecific skin spectrum. We predicted that the physiological response of frog retinas would be tuned to portions of the visible light spectrum that match their body reflectance. Using wavelength-specific electroretinograms (ERGs; from 350-650 nm), spectrometer measurements, and color-calibrated photography of the skin, we compared retinal sensitivity and …

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 Graduate Student 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 …