Digital Commons Network^™

Normalization Of Drug And Therapeutic Concepts With Thera-Py, Matthew Cannon, James Stevenson, Kori Kuzma, Susanna Kiwala, Jeremy L Warner, Obi L Griffith, Malachi Griffith, Alex H Wagner

2020-Current year OA Pubs

OBJECTIVE: The diversity of nomenclature and naming strategies makes therapeutic terminology difficult to manage and harmonize. As the number and complexity of available therapeutic ontologies continues to increase, the need for harmonized cross-resource mappings is becoming increasingly apparent. This study creates harmonized concept mappings that enable the linking together of like-concepts despite source-dependent differences in data structure or semantic representation.

MATERIALS AND METHODS: For this study, we created Thera-Py, a Python package and web API that constructs searchable concepts for drugs and therapeutic terminologies using 9 public resources and thesauri. By using a directed graph approach, Thera-Py captures commonly used …

Exosomal Tar Dna Binding Protein 43 Profile In Canine Model Of Amyotrophic Lateral Sclerosis: A Preliminary Study In Developing Vlood-Based Biomarker For Neurodegenerative Diseases, Penelope Pfeiffer, Joan R. Coates, Yajaira M. Esqueda, Andrew Kennedy, Kyleigh Getchell, Myra Mclenon, Edina Kosa, Abdulbaki Agbas

Faculty and Staff Publications

Objective: Blood-based biomarkers provide a crucial information in the progress of neurodegenerative diseases with a minimally invasive sampling method. Validated blood-based biomarker application in people with amyotrophic lateral sclerosis would derive numerous benefits. Canine degenerative myelopathy is a naturally occurring animal disease model to study the biology of human amyotrophic lateral sclerosis. Serum derived exosomes are potential carriers for cell-specific cargoes making them ideal venue to study biomarkers for a variety of diseases and biological processes. This study assessed the exosomal proteins that may be assigned as surrogate biomarker that may reflect biochemical changes in the central nervous system.

Methods: …

Greater Socioenvironmental Risk Factors And Higher Chronic Pain Stage Are Associated With Thinner Bilateral Temporal Lobes, Lisa H Antoine, Burel R Goodin, Et Al.

2020-Current year OA Pubs

INTRODUCTION: Previous research indicates ethnic/race group differences in pain and neurodegenerative diseases. Accounting for socioenvironmental factors reduces ethnic/race group differences in clinical and experimental pain. In the current study sample, we previously reported that in individuals with knee pain, ethnic/race group differences were observed in bilateral temporal lobe thickness, areas of the brain associated with risk for Alzheimer's disease, and related dementias. The purpose of the study was to determine if socioenvironmental factors reduce or account for previously observed ethnic/race group differences and explore if a combined effect of socioenvironmental risk and chronic pain severity on temporal lobe cortices is …

Muc13 Drives Cancer Aggressiveness And Metastasis Through The Yap1-Dependent Pathway, Kyle Doxtater, Manish Tripathi, Radhiki Sekhri, Bilal B. Hafeez, Sheema Khan, Nadeem Zafar, Stephen Behrman, Murali M. Yallapu, Meena Jaggi, Subhash C. Chauhan

School of Medicine Publications

Anchorage-independent survival after intravasation of cancer cells from the primary tumor site represents a critical step in metastasis. Here, we reveal new insights into how MUC13-mediated anoikis resistance, coupled with survival of colorectal tumor cells, leads to distant metastasis. We found that MUC13 targets a potent transcriptional coactivator, YAP1, and drives its nuclear translocation via forming a novel survival complex, which in turn augments the levels of pro-survival and metastasis-associated genes. High expression of MUC13 is correlated well with extensive macrometastasis of colon cancer cells with elevated nuclear YAP1 in physiologically relevant whole animal model systems. Interestingly, a positive correlation …

Turing Patterns In A P-Adic Fitzhugh-Nagumo System On The Unit Ball, L. F. Chacón-Cortés, C. A. Garcia-Bibiano, Wilson A. Zuniga-Galindo

School of Mathematical & Statistical Sciences Faculty Publications

We introduce discrete and p-adic continuous versions of the FitzHugh-Nagumo system on the one-dimensional p-adic unit ball. We provide criteria for the existence of Turing patterns. We present extensive simulations of some of these systems. The simulations show that the Turing patterns are traveling waves in the p-adic unit ball.

December 2023 News Releases, University Of Montana--Missoula. Office Of University Relations

University of Montana News Releases, 1928, 1956-present

No abstract provided.

An Exploration Of Two Information Literacy Open Learning Object Repositories: Value, Content, And Engagement, Tiffanie Lynn Ford-Baxter

Communications in Information Literacy

Information literacy (IL) open learning object repositories (LORs) provide a space for librarians to find and exchange instruction resources and lessons. Given many librarians enter the workforce with little or no formal training or educational opportunities to learn about pedagogy, these repositories are indispensable resources to the Library and Information Science field. This study explored the contents of two popular IL LORs, Project Cora and the Association of College and Research Libraries Framework for Information Literacy Sandbox, to uncover how users engage with the resources and how the repositories differ. This study's findings suggest that while resources within the LORs …

The Evolving Role Of Vericiguat In Patients With Chronic Heart Failure, Ross M. Dies, Corrie N. Jackson, Chelsi J. Flanagan, Evan S. Sinnathamby, Noah J. Spillers, Pooja Potharaju, Naina Singh, Giustino Varrassi, Shahab Ahmadzadeh, Sahar Shekoohi, Alan D. Kaye

School of Medicine Faculty Publications

Heart failure (HF) is a chronic and progressive clinical disorder characterized by an inability to pump sufficient blood to meet metabolic demands. It poses a substantial global healthcare burden, leading to high morbidity, mortality, and economic impact. Current treatments for HF include lifestyle modifications, guideline-directed medical therapies (GDMT), and device interventions, but the need for novel therapeutic approaches remains significant. The introduction of vericiguat, a soluble guanylate cyclase stimulator, has shown promise in improving outcomes for heart failure patients. Vericiguat addresses the underlying pathophysiological mechanisms of heart failure by augmenting the cyclic guanosine monophosphate (cGMP) pathway, leading to enhanced cardiac …

Investigating The Effects Of Collagen Alignment And Tricalcium Phosphate Incorporation On Osteoblast Cell Response, Kathryn Elizabeth Bock

Theses and Dissertations

Every year, over 20 million people globally are affected by bone tissue loss due to disease or trauma. Bone tissue engineering (BTE) is touted as a promising approach to promote bone tissue repair and regeneration. In this realm, development of collagen-based scaffolds incorporated with a bioceramic is often attempted to generate tissue scaffolds that resemble the organic and inorganic composition of native bone. In addition, a variety of different collagen processing techniques have been employed to produce anisotropically aligned scaffolds that can provide the essential biochemical and structural cues to guide cell response. While there have been numerous studies on …

How Students Learn: Examining The Differences In Learning Strategies Between Flight And Nonflight Students, Jennifer A. Torres

Theses and Dissertations

The purpose of this study was to determine if there were any differences in learning strategies between undergraduate flight and nonflight students attending a 4-year university that offered a Part 141 flight training program. Learning strategies were measured using Panadero et al.’s (2021) 30-item Deep Learning Strategies Questionnaire and its four subscales—Basic Learning Self-Regulation Strategies, Visual Elaboration and Summarizing Strategies, Deep Information Processing Strategies, and Social Learning Self-Regulation Strategies—all of which were the dependent variables. The primary independent variable was group membership, but the study also incorporated two covariates—self-efficacy and intrinsic value—which were measured using the respective subscales of Pintrich …

Low Reynolds Number Locomotion Near Interfaces In Two-Fluid Media, Avriel Rowena Mae Cartwright

Theses and Dissertations

Microorganisms often swim within complex fluid environments composed of multiple materials with very different properties. Biological locomotion, including swimming speed, is significantly impacted by the physical composition and rheology of the surrounding fluid environment, as well as the presence of phase boundaries and free interfaces, across which physical properties of the fluid media may vary greatly. Through computational simulations, we first investigate the classical Taylor’s swimming sheet problem near interfaces within multi-fluid environments using a two-fluid immersed boundary method. The accuracy of the methodology is illustrated through comparisons with analytical solutions. Our simulation results indicate that the interface dynamics and …

Effects Of Perforations On Internal Cathodic Protection And Recruitment Of Marine Organisms To Steel Pipes, Alexander John Paluzzi

Theses and Dissertations

Steel monopile support structures for offshore wind turbines require protection from corrosion on their external and internal surfaces. Cathodic protection (CP) works effectively to protect the external surfaces of monopiles, but internally, byproducts from aluminum sacrificial anode CP (SACP) and impressed current CP (ICCP) induce acidification that accelerates steel corrosion. This project investigated the effects of perforations on the performance of aluminum SACP and ICCP when used inside of steel pipes. Additionally, marine growth on the external and internal surfaces of the pipes was assessed to determine if CP byproducts affect marine organism development.

Two sealed and two perforated steel …

Deep Learning And Generative Ai Approaches For Automated Diagnosis And Personalized Treatment: Bridging Machine Learning, Medicine, And Biomechanics In Predicting Tissue Mechanics And Biomaterial Properties., Yasin Shokrollahi

Theses and Dissertations

Machine learning, particularly deep neural networks, has demonstrated significant potential in predicting high-dimensional tasks across various domains. This work encompasses a detailed review of Generative AI in healthcare and three studies integrating machine learning with finite element analysis for predicting biomechanical behaviors and properties. Initially, we provide a comprehensive overview of Generative AI applications in healthcare, focusing on Transformers and Denoising Diffusion models and suggesting potential research avenues to address existing challenges.

Subsequently, we addressed soccer-related ocular injuries by combining finite element analysis and machine learning to predict retinal mechanics following a soccer ball hit rapidly. The prediction errors are …

Gr-406 Federated Learning In Cardiac Diagnostics: Balancing Predictive Accuracy With Data Privacy In Heart Sound Classification, Sricharan Donkada

C-Day Computing Showcase

Cardiovascular diseases account for nearly a third of global deaths, posing a challenge that machine learning can help address. However, data privacy concerns hinder the direct application of conventional machine learning in this sensitive area. This paper explores Federated Learning (FL) as a decentralized strategy to mitigate these concerns by allowing for local data processing. FL's design ensures that only processed updates, not raw data, are shared with a central server, maintaining individual privacy. Our research assesses FL's practicality and effectiveness in predicting heart disease while adhering to ethical and legal norms. We build upon previous studies, such as Wanyong …

Gr-504 Synthetic Dna Sequence Generation And Classification For Species Discrimination, Nishat Tasnim

C-Day Computing Showcase

The two main goals of this research are to apply machine learning models in computational biology to classify DNA sequences from different species and to create synthetic DNA sequences using GANs. Generative Adversarial Networks (GANs) synthesize DNA sequences while preserving key characteristics like sequence length and GC content. The dataset is enhanced by these artificial sequences, which makes classification jobs better. The classification accuracy of black rat and human genome sequences is evaluated using machine learning models, including Random Forest, SVM, and Logistic Regression. Notably, when trained with synthetic data, all models perform better.

Lung Dosimetry Model Of Inhaled 222rn For Workers At Selected Building Material Factories In Erbil City, Iraq, Sardar Qader Othman, Ali Hassan Ahmed, Sarbaz Ibrahim Mohammed

Polytechnic Journal

Radon gas can cause lung harm, leading to extensive research on the biological effects of radon exposure in human lungs under various environmental conditions. The study estimates radon progeny doses for workers in Erbil city's building materials industries, focusing on alpha particle energy deposition, particle clearance, and lung deposition. Using a home condition of 1 Bq.m-3, radon progeny particle-absorbed doses in the trachea, bronchi, bronchioles, alveolar-interstitial sections, and lungs were determined in the first scenario. The 1 Bq.m-3 is replaced with the radon level for each factory to prepare its atmosphere in the second scenario. For the first scenario, the …

Medical School Watercooler Newsletter - November 30, 2023, Lindsey Lyle

Watercooler Newsletter

This is the November 30, 2023 edition of the Frederick P. Whiddon College of Medicine's newsletter - Watercooler.

Contents Include:

• Pediatric interventional radiologist joins radiology faculty
• USA researchers identify potential biomarkers for detection and treatment of triple-negative breast cancer
• Now accepting nominations for USA Medical Alumni Awards
• Register now: Tools for Teaching in Medical Education
• Center for Healthy Communities to host community health worker forum

The Black Garden, Madalene Klocke

Theses

“The Black Garden” is a novel-length fantasy fiction work. It follows the narrative of Ryan, an 18-year-old girl, who has great expectations for what her first year at university will hold. Her entire world view is tilted when she attends a party with her new roommate, Blair, and wakes up in an unfamiliar place. Ryan must fight to keep her sanity as she is thrust into the world of faeries, witches, and far worse creatures than she could have ever imagined: including her parents.

A Signature Of Five 7-Methylguanosine-Related Genes Is A Prognostic Marker For Lung Squamous Cell Carcinoma., Wensheng Liu, Ying Wang, Paola Ulivi, Simona Tavolari, Syed A A Rizvi, Enrico Capobianco, Alfons Navarro, Yongjun Zhang

Faculty Research 2023

Background: N7-methylguanosine (m7G) is an important posttranscriptional modification affecting mRNA and tRNA functions and stability. The genes regulating the m7G process have been previously found involved in the carcinogenesis process. We aimed to analyze the role of m7G-related genes as potential prognostic markers for lung squamous cell carcinoma (LSCC).

Methods: Twenty-nine m7G-related genes were selected for the analysis in the LSCC cohort of the Cancer Genome Atlas (TCGA). Univariate, multivariate, and Kaplan-Meier analyses were used to evaluate the predictive value of risk model developed with m7G signature for overall survival (OS). The Gene Ontology (GO) and Kyoto Encyclopedia of Genes …

What’S In A Word? A Study Of Emotional Valence, Trisha Patel, Cameron Smith, Olivia Williams, Raul Rodriguez-Calva

Science University Research Symposium (SURS)

Cognitive stress affects humans mentally and physically, and specifically may impact emotional recognition. Previous studies have focused on the perceived emotional valence of nouns vs. adjectives and the emotional recognition of photographs. While this has led to the creation of an emotional valence database, there has yet to be a study to explore how stress can change perceived emotional valence. Using data from the Affective Norms for English Words (ANEW), the Portland Arithmetic Stress Test (PAST), and the Montreal Imaging Stress Task (MIST), a study was created to explore how participants emotional valence of words would change after being placed …

Trehalose Enhances Mitochondria Deficits In Human Npc1 Mutant Fibroblasts But Disrupts Mouse Purkinje Cell Dendritic Growth Ex Vivo., Collin M Macleod, Fawad A K Yousufzai, Liam T Spencer, Sarah Kim, Lucianne A Rivera-Rosario, Zerian D Barrera, Lindsay Walsh, Claude Krummenacher, Benjamin Carone, Ileana Soto

College of Science & Mathematics Departmental Research

Lysosomes play important roles in catabolism, nutrient sensing, metabolic signaling, and homeostasis. NPC1 deficiency disrupts lysosomal function by inducing cholesterol accumulation that leads to early neurodegeneration in Niemann-Pick type C (NPC) disease. Mitochondria pathology and deficits in NPC1 deficient cells are associated with impaired lysosomal proteolysis and metabolic signaling. It is thought that activation of the transcription factor TFEB, an inducer of lysosome biogenesis, restores lysosomal-autophagy activity in lysosomal storage disorders. Here, we investigated the effect of trehalose, a TFEB activator, in the mitochondria pathology of NPC1 mutant fibroblasts in vitro and in mouse developmental Purkinje cells ex vivo. We …

Curriculum Subcommittee Agenda December 7, 2023, Utah State University

Educational Policies Committee

• Program Proposals
• Semester Course Approval Reviews
• Other Business
• Adjourn

Novel Tri-Biopolymer Thin Film With Superior Antimicrobial Efficacy, Ashraf Al-Goraee, Ali Alshami, Abdulrahman Al-Shami, Jason Power, Jadyn Guidinger, Christopher Buelke, Musabbir Jahan Talukder, Xiaodong Hou

Chemical Engineering Faculty Publications

This work reports a novel synthesis, characterization, and performance of antimicrobial polymeric thin films utilizing unreported ternary blend of Chitosan, PLA, and PCL. For binary systems, the selection of matching polymers has improved the material’s structures and properties; however, the transition to using a ternary system is not well-established yet. The ability to homogeneously blend 3 biopolymers would expand the potential to prepare new materials with tailored properties. Herein, unary, binary, and ternary films were produced by physical blending using the casting and solvent evaporation method. The films were then characterized using different techniques for comparing the properties of 3 …

Assessment Of Green Spaces In Metro Nashville Public High Schools, Webster G. Andrews, Anna Lennon, Darlene Panvini

Science University Research Symposium (SURS)

Green spaces on and near school property have been correlated to student mental health and academic achievement. However, there is a gap in the literature investigating how quality and quantity of green space is related to socioeconomic status and school economic metrics in public high schools and the surrounding neighborhoods. Nashville public high schools located in higher socioeconomic areas and having greater financial resources were predicted to provide larger, higher quality green spaces. This study combined a quantitative analysis of neighborhood socioeconomic metrics, school socioeconomic metrics, and quantity of green space (assessed using iTree Canopy) with a qualitative field assessment …

Conquer And Prevail Issue 152 November 30 2023, Wofford College. Office Of Marketing And Communications

Conquer and Prevail Newsletter

No abstract provided.

Ai Assisted Workflows For Computational Electromagnetics And Antenna Design, Oameed Noakoasteen

Electrical and Computer Engineering ETDs

These days large volumes of data can be recorded and manipulated with relative ease. If valuable information can be extracted from them, these vast amounts of data can be a rich resource not just for the digital economy but also for scientific discovery and development of technology. When it comes to deriving valuable information from data, Machine Learning (ML) emerges as the key solution. To unlock the potential benefits of ML to science and technology, extensive research is needed to explore what algorithms are suitable and how they can be applied.

To shine light on various ways that ML can …

Species Richness Of Moths In Parks Surrounded By Varying Levels Of ​Urbanization Around Nashville, Tennessee, Maxwell Stone, Allie Bennett

Science University Research Symposium (SURS)

Moths can act as indicators of environmental wellness due to their pollution sensitivity and the complexity of biodiversity required to support their life cycles. Urbanization can impact the occurrence of moths in protected green spaces. Higher moth species richness was hypothesized to occur in parks surrounded by more rural areas. Three metropolitan parks were chosen in the Nashville area: downtown, within a suburban neighborhood, and in a rural area. Tree canopy cover and degree of impervious surfaces were assessed for each park and surrounding area using iTreeCanopy. Moths were attracted to a white sheet using a mercury vapor bulb, UV …

The Role Of Myc-Egr1 Pathway In Colorectal Cancer Development And Its Relationship To Wnt Signaling, Lexi Chrysochoos, Erick Spears, Emily Abdoney

Science University Research Symposium (SURS)

Lexi Chrysochoos, Emily Abdoney, and Erick Spears

The Role of MYC-EGR1 Pathway in Colorectal Cancer Development and its Relationship to Wnt Signaling

Colorectal tumors show high levels of Wnt pathway activity, most often due to an initiating mutation in critical Wnt pathway components. Wnt pathway activation leads to b-catenin-driven expression of genes that generally stimulate cell cycle progression. One such Wnt pathway target gene is MYC, a well described oncogene involved in many cancers, including colorectal. MYC is known to stimulate proliferation but in certain cellular contexts, can stimulate apoptosis by stimulating the expression of EGR1. This is termed a …

Co2 Sequestration And Temperature Modulation By Plants On Green Roofs, Matthew L. Fumarola, Clema Balire, Darlene Panvini

Science University Research Symposium (SURS)

Green roofs can play a role in CO2 absorption and temperature modulation in urban areas as a means of countering the impacts of climate change and heat effects due to urbanization. While diverse plants can be found on green roofs, the different role they play in mediating these effects is not clear. This study, using constructed polyethylene tents around plants and bare soil sites, measured atmospheric CO2, soil temperature, relative humidity and air temperature for four species of plants located on Belmont University’s green roofs. The species were Sulfur Cosmos, Yucca, Hairawn Muhly, and Goldenrod. Three species, Yucca, Hairawn Muhly …

Lionfish (Pterois Volitans) Neurocranium, Kate Heffner, Hosanna Gattle, David Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

Neurocranium from 30 cm total length (TL) Lionfish (Pterois volitans), collected from Second Reef on 15/10/2023 by Kate Heffner.