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A Qualitative Evaluation Of Exercise Habits And Stress Management Strategies Among Exercise Physiology Freshmen, Lori A. Sherlock, E J. Ryan, Miriam E. Leary

Educational Practices in Kinesiology

Transitional phases of life (i.e., the passage from high school to college) can promote heightened stress levels resulting in physical and mental challenges. College students are at an elevated risk for common mental health disorders with 20-45% of all college students being impacted within a given year. This may be, in part, due to their exposure to a multitude of new stressors related to academics, social challenges, personal concerns, and economic issues. Therefore, the purpose of this qualitative study was to examine exercise habits and stress management strategies among incoming freshmen in an exercise physiology program. The overall goal of …

Editorial: Centering Humanism In Stem Education, Desirée Forsythe, Sheila S. Jaswal, Bryan Dewsbury, Susannah Mcgowan

Biology, Chemistry, and Environmental Sciences Faculty Books and Book Chapters

"To understand why this Research Topic exists, it is important to recall the original goal from our call for proposals: to reorient STEM researchers and practitioners to reconsider the actual purpose of the practice of teaching and learning. Bryan Dewsbury often invokes us in his writing and talks to understand our why. As educators, we wish to provide insights, practices, and proposed theories to reflect on our WHY in STEM education—from one instructor’s empathetic approach to understanding the undergraduate student experience in gateway courses to the cultural initiation ceremonies at the disciplinary level. These components of humanism and the lens …

Assessing The Adequacy Of A Prediction Model, Abhaya Indrayan, Sakshi Mishra Ms

COBRA Preprint Series

No abstract provided.

A Multivariate To Multivariate Approach For Voxel-Wise Genome-Wide Association Analysis, L Elliot Hong

Faculty, Staff and Student Publications

The joint analysis of imaging-genetics data facilitates the systematic investigation of genetic effects on brain structures and functions with spatial specificity. We focus on voxel-wise genome-wide association analysis, which may involve trillions of single nucleotide polymorphism (SNP)-voxel pairs. We attempt to identify underlying organized association patterns of SNP-voxel pairs and understand the polygenic and pleiotropic networks on brain imaging traits. We propose a bi-clique graph structure (ie, a set of SNPs highly correlated with a cluster of voxels) for the systematic association pattern. Next, we develop computational strategies to detect latent SNP-voxel bi-cliques and an inference model for statistical testing. …

Design And Implementation Of An Opioid Scorecard For Hospital System-Wide Peer Comparison Of Opioid Prescribing Habits: Observational Study, Benjamin Slovis, Soonyip Huang, Melanie Mcarthur, Cara Martino, Tasia Beers, Meghan Labella, Jeffrey Riggio, Edmund Pribitkin

Jefferson Hospital Staff Papers and Presentations

BACKGROUND: Reductions in opioid prescribing by health care providers can lead to a decreased risk of opioid dependence in patients. Peer comparison has been demonstrated to impact providers' prescribing habits, though its effect on opioid prescribing has predominantly been studied in the emergency department setting.

OBJECTIVE: The purpose of this study is to describe the development of an enterprise-wide opioid scorecard, the architecture of its implementation, and plans for future research on its effects.

METHODS: Using data generated by the author's enterprise vendor-based electronic health record, the enterprise analytics software, and expertise from a dedicated group of informaticists, physicians, and …

09.09.2024 Orsp Connect, Liz Williamson

ORED Newsletter

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NSF Sessions on Phase 1 ISBIR/STTR Proposals

Elementary Cone Photoreceptor Signals In V1 Neurons, Cyril Nyankerh

All ETDs from UAB

Daylight vision is initiated by the activation of cone photoreceptors in the retina in response to light, thereby generating spatial and temporal patterns of photoreceptor signals. Subsequent to this, the signals are combined and processed in downstream neural circuits, ultimately contributing to the formation of receptive fields of neurons in primary visual cortex (V1). Recent advances in adaptive optics (AO) have enabled imaging of the retina with near diffraction limited resolution, allowing for the probing of the visual system's processing at the resolution of individual cones. The central theme of this dissertation characterizes quantitively and qualitatively the physiological responses of …

A Case Demonstration Of The Open Health Natural Language Processing Toolkit From The National Covid-19 Cohort Collaborative And The Researching Covid To Enhance Recovery Programs For A Natural Language Processing System For Covid-19 Or Postacute Sequelae Of Sars Cov-2 Infection: Algorithm Development And Validation, Sijia Liu, David A Hanauer, Daniel R Harris, Ramakanth Kavuluru, Rui Zhang, Karthik Natarajan, Nishanth P Pavinkurve, Janos Hajagos, Sritha Rajupet, Veena Lingam, Mary Saltz, Corey Elowsky, Richard A Moffitt, Farrukh M Koraishy, Matvey B Palchuk, Jordan Donovan, Lora Lingrey, Garo Stone-Derhagopian, Robert T Miller, Andrew E Williams, Peter J Leese, Paul I Kovach, Emily R Pfaff, Mikhail Zemmel, Robert D Pates, Nick Guthe, Melissa A Haendel, Christopher G Chute, Hongfang Liu, National Covid Cohort Collaborative, Recover Initiative

Faculty, Staff and Student Publications

BACKGROUND: A wealth of clinically relevant information is only obtainable within unstructured clinical narratives, leading to great interest in clinical natural language processing (NLP). While a multitude of approaches to NLP exist, current algorithm development approaches have limitations that can slow the development process. These limitations are exacerbated when the task is emergent, as is the case currently for NLP extraction of signs and symptoms of COVID-19 and postacute sequelae of SARS-CoV-2 infection (PASC).

OBJECTIVE: This study aims to highlight the current limitations of existing NLP algorithm development approaches that are exacerbated by NLP tasks surrounding emergent clinical concepts and …

Training Robust T1-Weighted Magnetic Resonance Imaging Liver Segmentation Models Using Ensembles Of Datasets With Different Contrast Protocols And Liver Disease Etiologies, Nihil Patel, Adrian Celaya, Mohamed Eltaher, Rachel Glenn, Kari Brewer Savannah, Jessica I Sanchez, Darrel Cleere, Ahmed Elsaiey, Matthew Cagley, Nakul Gupta, David Victor, Laura Beretta, Eugene J Koay, Tucker J Netherton, David T Fuentes

Faculty, Staff and Student Publications

Image segmentation of the liver is an important step in treatment planning for liver cancer. However, manual segmentation at a large scale is not practical, leading to increasing reliance on deep learning models to automatically segment the liver. This manuscript develops a generalizable deep learning model to segment the liver on T1-weighted MR images. In particular, three distinct deep learning architectures (nnUNet, PocketNet, Swin UNETR) were considered using data gathered from six geographically different institutions. A total of 819 T1-weighted MR images were gathered from both public and internal sources. Our experiments compared each architecture's testing performance when trained both …

Impact Of A Narrative Language Intervention On Language, Behavior, And Self-Concept Among Bilingual Children With Developmental Language Disorder, Nancy Tarshis Ma, Ms, Ccc-Slp, Kathleen Mcgrath Mss, Lsw, Ida Barresi Ma, Ccc-Slp, Risa Battino Ms, Ccc-Slp, Bcs-F, Sarah Henderson Msed, Ms, Ccc-Slp, Shankar Viswanathan Drph, Jee-Young Moon Phd, Karen Bonuck Phd

Developmental Disabilities Network Journal

The growing research on narrative interventions is promising but has gaps regarding cultural/linguistic diversity and outcomes beyond language. We evaluated whether a structured, oral narrative intervention affects narrative language, problem behaviors, and self-concept in a diverse group of children with developmental language disorder. A 10-session intervention was implemented within routine care. Baseline and follow-up data included: (a) Narrative recordings—coded by therapists using the CUBED Narrative Language Measure, (b) Child Behavior Checklist—a parent-reported behavioral assessment, and (c) the Piers-Harris Children’s Self-Concept Scale. Among the sample’s n = 33 children, aged 6-16, 55.6% were bilingual. Post intervention, participants’ narrative language scores improved …

Multimodal Mixing Convolutional Neural Network And Transformer For Alzheimer’S Disease Recognition, Junde Chen, Yun Wang, Adnan Zeb, M. D. Suzauddola, Yuxin Wen

Engineering Faculty Articles and Research

Early recognition of Alzheimer’s disease (AD) and its precursor state, mild cognitive impairment (MCI), is pivotal in interrupting the progression of the disease and providing suitable treatment. Recent development in deep learning techniques has drawn great research attention for improving the efficacy of AD recognition. However, numerous current methods solely utilize data from a single auxiliary domain, limiting their ability to harness valuable intrinsic insights from multiple domains. To cope with the challenge, this paper is devoted to establishing an innovative multimodal medical data fusion model, termed as MMDF, to perform Alzheimer’s disease recognition. Multimodal data including clinical records and …

Improving Ligand Pharmacokinetics Via Bioisosteric Substitution Of Amides With 1, 2, 3-Triazoles While Maintaining Dopamine D4 Receptor Selectivity And Potency, Mohammad Alkhatib

Theses and Dissertations

Several neurophysiological functions, such as attention, cognition, and emotional regulation, are regulated by the binding of dopamine on G-Protein coupled receptors. D4Rs are mainly located in the prefrontal cortex and the hippocampus and are known to have a key role in decision-making, memory formation, cognition, and attention. Administration of D4Rs- selective ligands during the preclinical studies enhance the outcomes and the results in animal models suffering from neuropsychiatric disorders, including ADHD, substance use disorders (SUD), and Alzheimer's disease. Recently, we reported a group of D4R-selective ligands with different efficacies depending on their phenylpiperazine ring scaffold to illustrate D4R function during …

Intra- And Inter-Host Evolution Of Human Norovirus In Healthy Adults, Frederick H Neill, Donna M Muzny, Harsha Doddapaneni, Vipin K Menon, Kristi L Hoffman, Matthew C Ross, Ginger Metcalf, Antone R Opekun, David Y Graham, Richard A Gibbs, Joseph F Petrosino, Mary K Estes, Robert L Atmar

Faculty, Staff and Students Publications

Background: Human noroviruses are a leading cause of acute and sporadic gastroenteritis worldwide. The evolution of human noroviruses in immunocompromised persons has been evaluated in many studies. Much less is known about the evolutionary dynamics of human norovirus in healthy adults.

Methods: We used sequential samples collected from a controlled human infection study with GI.1/Norwalk/US/68 virus to evaluate intra- and inter-host evolution of a human norovirus in healthy adults. Up to 12 samples from day 1 to day 56 post-challenge were sequenced using a norovirus-specific capture probe method.

Results: Complete genomes were assembled, even in samples that were below the …

The Foodpunk City: Advancing Portland's Food Security Through A Shared Ideology Of Adaptation & Resistance, Nickolas Hash

Dissertations and Theses

Food injustice is a form of violence perpetrated by state and corporate actors against a constituency under their governing power, particularly impacting marginalized and impoverished communities. It denies individuals access to nutritious food, perpetuating cycles of poverty, inequality, physical health risks, and social exclusion. Grassroots movements have emerged to challenge dominant paradigms and advocate for food sovereignty, agroecology, and food anarchy. In Portland, the movement represents a nontraditional approach to food security that closely resembles the reactionary ideology of urban "punk" culture. Both groups prioritize community autonomy over food systems, sustainable agricultural practices, and resistance to oppressive structures that perpetuate …

Assessing The Accuracy And Utility Of Chatgpt Responses To Patient Questions Regarding Posterior Lumbar Decompression, Alec Giakas, Rajkishen Narayanan, Teeto Ezeonu, Jonathan Dalton, Yunsoo Lee, Tyler Henry, John Mangan, Gregory Schroeder, Alex Vaccaro, Christopher Kepler

Department of Orthopaedic Surgery Faculty Papers

Aim: To examine the clinical accuracy and applicability of ChatGPT answers to commonly asked questions from patients considering posterior lumbar decompression (PLD). Methods: A literature review was conducted to identify 10 questions that encompass some of the most common questions and concerns patients may have regarding lumbar decompression surgery. The selected questions were then posed to ChatGPT. Initial responses were then recorded, and no follow-up or clarifying questions were permitted. Two attending fellowship-trained spine surgeons then graded each response from the chatbot using a modified Global Quality Scale to evaluate ChatGPT’s accuracy and utility. The surgeons then analyzed each question, …

Myc Induces Oncogenic Stress Through Rna Decay And Ribonucleotide Catabolism In Breast Cancer, Dianne Keough, Nagireddy Putluri, Panagiotis Katsonis, Amanda M Koire, Hyemin Lee, Elizabeth A Bowling, Siddhartha Tyagi, Mayra Orellana, Rocio Dominguez-Vidaña, Heyuan Li, Kenneth Eagle, Charles Danan, Hsiang-Ching Chung, Andrew D Yang, William Wu, Sarah J Kurley, Brian M Ho, Joseph R Zoeller, Calla M Olson, Kristen L Meerbrey, Olivier Lichtarge, Arun Sreekumar, Clifford C Dacso, Luke W Guddat, Dominik Rejman, Dana Hocková, Zlatko Janeba, Lukas M Simon, Charles Y Lin, Monica C Pillon, Thomas F Westbrook

Faculty, Staff and Students Publications

Upregulation of MYC is a hallmark of cancer, wherein MYC drives oncogenic gene expression and elevates total RNA synthesis across cancer cell transcriptomes. Although this transcriptional anabolism fuels cancer growth and survival, the consequences and metabolic stresses induced by excess cellular RNA are poorly understood. Herein, we discover that RNA degradation and downstream ribonucleotide catabolism is a novel mechanism of MYC-induced cancer cell death. Combining genetics and metabolomics, we find that MYC increases RNA decay through the cytoplasmic exosome, resulting in the accumulation of cytotoxic RNA catabolites and reactive oxygen species. Notably, tumor-derived exosome mutations abrogate MYC-induced cell death, suggesting …

09.03.2024 Orsp Connect, Liz Williamson

ORED Newsletter

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Striatal Beat Frequency Interval Timing Model With Microgravity Stressor, Jason Michael Fitzgerald, Sorinel Oprisan

Journal of the South Carolina Academy of Science

The Striatal Beat Frequency (SBF) model of interval timing uses frontal cortex (FC) neural oscillations to record the state of the brain at the reinforcement time Tc during fixed interval (FI) procedures in the long-term memory (LMEM). The state of the FC oscillators at any given time is stored in a short-term memory (SMEM) buffer. The SBF model uses the spiny neurons of the basal ganglia (BG) as coincidence detectors to produce beats between the content of the SMEM and LMEM. Across multiple species that can perform interval timing, there are two invariant properties: (a) the timing is precise, and …

Determining Drug Dosage Using Calculus, Rajendra Dahal, Keith Bullard

Journal of the South Carolina Academy of Science

For most drugs, there is a concentration below for which the drug is ineffective and a concentration above for which the drug is dangerous. In this paper, we will study how the dosage and dosing intervals can be modified to ensure a safe, yet efficient level of the drug in the bloodstream using calculus. In particular, we will study the concentration of a drug over time and its dosing schedule.

Examination Of Oncogenic Effects Of Environmental Pollutants, Andrew Ackerman, Matthew Behling, Brock Earley, Janay Vacharasin

Journal of the South Carolina Academy of Science

Chemical byproducts produced by surrounding industrial complexes have polluted the local estuaries of Georgetown, South Carolina for several decades¹. Previous studies completed by the EPA and SCDNR showed that the estuaries contained carcinogenic pollutants released from the local manufacturing plants¹. One of the mentioned pollutants was dioxins which are produced during the paper bleaching process². Dioxins are highly toxic compounds that have various carcinogenic effects on the organisms that inhabit the area. These previous studies were conducted over thirty years ago. Therefore, a current study to determine if chemical byproducts are contaminating local estuaries …

Cucumber Mosaic Virus And Its Management In Narrow Leafed Lupins, Department Of Primary Industries And Regional Development, Western Australia

Grains and other field crops factsheets

Cucumber mosaic virus (CMV) is a seed- and aphid-borne virus that infects narrow-leafed lupins. Western Australian (WA) grainbelt regions most at risk are the high rainfall zones of the northern and central agricultural region and the south coastal region.

The principal infection source for lupin crops is sowing infected lupin seed.

Microfiltration Membrane Pore Functionalization With Primary And Quaternary Amines For Pfas Remediation: Capture, Regeneration, And Reuse, Sam Thompson, Angela Gutierrez, Jennifer Bukowski, Dibakar Bhattacharyya

UK CARES Faculty Publications

The widespread production and use of multi-fluorinated carbon-based substances for a variety of purposes has contributed to the contamination of the global water supply in recent decades. Conventional wastewater treatment can reduce contaminants to acceptable levels, but the concen- trated retentate stream is still a burden to the environment. A selective anion-exchange membrane capable of capture and controlled release could further concentrate necessary contaminants, mak- ing their eventual degradation or long-term storage easier. To this end, commercial microfiltration membranes were modified using pore functionalization to incorporate an anion-exchange moiety within the membrane matrix. This functionalization was performed with primary and …

Planetary Health Learning Objectives: Foundational Knowledge For Global Health Education In An Era Of Climate Change, Kathryn H. Jacobsen, Caryl E. Waggett, Pamela Berenbaum, Brett R. Bayles, Gail L. Carlson, René English, Carlos A Faerron Guzmán, Meredith L. Gartin, Liz Grant, Thomas L. Henshaw, Lora L. Iannotti, Philip J. Landrigan, Nina Lansbury, Hao Li, Maureen Y. Lichtveld, Ketrell Mcwhorter, Jessica E. Rettig, Cecilia J. Sorensen, Eric J. Wetzel, Dawn Michele Whitehead, Peter J. Winch, Keith Martin

Earth and Environmental Sciences Faculty Publications

Planetary health is an emerging field that emphasises that humans depend on a healthy Earth for survival and, conversely, that the sustainability of Earth systems is dependent on human behaviours. In response to member demands for resources to support teaching and learning related to planetary health, the Consortium of Universities for Global Health (CUGH) convened a working group to develop a set of planetary health learning objectives (PHLOs) that would complement the existing ten CUGH global health learning objectives. The eight PHLOs feature Earth system changes, planetary boundaries, and climate change science; ecological systems and One Health; human health outcomes; …

Septoria Avenae Blotch And Its Management In Oats, Department Of Primary Industries And Regional Development, Western Australia

Grains and other field crops factsheets

Septoria avenae blotch (Phaeosphaeria avenaria f.sp. avenaria) is a stubble borne fungal disease of oats and is the most common oat disease in Western Australia and occurs throughout the cereal growing areas.It is host specific, meaning it only affects oats.

This page summarises the symptoms, factors favouring disease risk and spread, yield and quality losses, and management strategies for the disease

Highly Toxic Aβ Begets More Aβ, Merc M. Kemeh, Noel Lazo

Chemistry

No abstract provided.

Coal Ash Triggers An Elevated Temperature Landfill Development: Lessons From The Bristol Virginia Solid Waste Landfill Neighboring Community, Reagan Patton Witt, Marcelo I. Guzman

UK CARES Faculty Publications

Landfills for disposing of solid waste are designed, located, managed, and monitored facili- ties expected to comply with government regulations to prevent contamination of the surrounding environment. After the average life expectancy of a typical landfill (30 to 50 years), a large investment in the construction, operation, final closure, and 30-year monitoring of a new site is needed. In this case study, we provide a holistic explanation of the unexpected development of elevated temperature landfills (ETLFs), such as that in the city of Bristol (United States) on the border of the states of Virginia and Tennessee, including the initial role …

Incorporating Solvation Thermodynamic Mapping In Computer-Aided Drug Design, Yeonji Ji

Dissertations, Theses, and Capstone Projects

Advancements in computational techniques have revolutionized structure-based drug design, substantially improving the efficiency and effectiveness of the drug discovery process by reducing time, costs, and labor requirements. These advancements include various methods, such as investigating small molecule ligands binding to proteins, exploring alternative protein conformations, and solvation mapping on the protein surfaces. Among these methods, understanding the correlation between protein-ligand binding and the role of solvation is important.

A fundamental concept in protein-ligand binding is shape and electrostatic complementarity, which is complicated by the inherent flexibility of proteins. In the absence of small molecule ligands, proteins are complementary to surface …

Reclaiming Healing Spaces: A Phenomenological Study On The Transformative Power Of Outdoor Therapy From The Lived Experiences Of Black Clinicians Working With Black Clients, Lynn Murphy

Dissertations

This phenomenological study involved assessing the experiences of Black therapists who engaged Black clients in outdoor therapeutic contexts. The study was founded on the existing literature that shows the quality of the therapeutic relationship is pivotal for client retention and the Western standards that have historically favored treatment within indoor environments. To contextualize this research, a comprehensive literature review was commenced, covering topics such as the decolonization of therapy, the historical and present-day relationship between Blacks and the outdoors in the United States, sedentary lifestyles, the psychological benefits of time spent in nature, various types of outdoor therapy, and the …

Three-Dimensionalization Mediates The Subjective Experience Of Fractal Interior Spaces, Joori Suh, William Stalker, Steen Pedersen, Assaf Harel

Psychology Faculty Publications

A fractal, a self-similar organic or geometric pattern that repeats at varying scales, is one of the most compelling characteristics found in nature. Previous studies on fractal patterns have demonstrated consistent trends in potential psychological benefits, such as stress reduction. However, we fall short of understanding one of the essential properties of fractals found in nature, i.e., the three-dimensionality of their appearance. In this study, we aimed at understanding the role of the three-dimensionalization of fractal patterns in spatial structures on human subjective perceptual experience. Two hundred seventy three-dimensional spatial prototype models were created for this study, spanning two dimensions: …

Paper-Recorded Ecg Digitization Method With Automatic Reference Voltage Selection For Telemonitoring And Diagnosis, Liang Hung Wang, Chao Xin Xie, Tao Yang, Hong Xin Tan, Ming Hui Fan, I. Chun Kuo, Zne Jung Lee, Tsung Yi Chen, Pao Cheng Huang, Shih Lun Chen, Patricia Angela R. Abu

Department of Information Systems & Computer Science Faculty Publications

In electrocardiograms (ECGs), multiple forms of encryption and preservation formats create difficulties for data sharing and retrospective disease analysis. Additionally, photography and storage using mobile devices are convenient, but the images acquired contain different noise interferences. To address this problem, a suite of novel methodologies was proposed for converting paper-recorded ECGs into digital data. Firstly, this study ingeniously removed gridlines by utilizing the Hue Saturation Value (HSV) spatial properties of ECGs. Moreover, this study introduced an innovative adaptive local thresholding method with high robustness for foreground–background separation. Subsequently, an algorithm for the automatic recognition of calibration square waves was proposed …