Physical Sciences and Mathematics Commons^™

An Algorithm Of Aesthetics: The Mathematical Beauty Of Type-B Turing Pattern Development In Monkeyflowers, Clara A. Rinker, Emily S.G. Simmons, Joshua R. Puzey, Gregory D. Conradi Smith

Biology and Medicine Through Mathematics Conference

No abstract provided.

Unraveling Gut Microbiota And Mucus Dynamics In Response To Polyethylene Glycol (Peg), Shaikh Obaidullah

Biology and Medicine Through Mathematics Conference

No abstract provided.

Stage Structured Model For Oyster Restoration With Larval Transport, Sarah Brownstein

Biology and Medicine Through Mathematics Conference

No abstract provided.

Chemoattractant Distribution In The Drosophila Egg Chamber, Lara Scott

Biology and Medicine Through Mathematics Conference

No abstract provided.

Assessing The Pre- And Post-Synaptic Effects Of Opioids On Inspiratory Rhythmogenesis, Diego F. Morandi Zerpa, Jingzhi Zhao

Biology and Medicine Through Mathematics Conference

No abstract provided.

Stokes Flow Around Beating Microorganisms, Mckenna A. Witt

Biology and Medicine Through Mathematics Conference

No abstract provided.

A Random Differential Equation Model To Estimate Treatment Sensitivity In Synthetic And In Vitro Tumor Growth Data, Natalie Meacham

Biology and Medicine Through Mathematics Conference

No abstract provided.

A Comparative Analysis Of Source Identification Algorithms, Pablo A. Curiel

Biology and Medicine Through Mathematics Conference

No abstract provided.

Understanding Cardiovascular Dynamics: Insights From Data Driven Nonlinear Hyperelastic Wall Modeling In Pulmonary Arteries, Md Arifuzzaman, Mette S. Olufsen, Mansoor A. Haider

Biology and Medicine Through Mathematics Conference

No abstract provided.

Modeling Synergistic Effects Of Integrin And Tgf-Beta Signaling In Epithelial Mesenchymal Transition, Prerak Thakkar

Biology and Medicine Through Mathematics Conference

No abstract provided.

Dual-Domain Clustering Of Spatiotemporal Infectious Disease Data, Samuel R. Thornton, Erin C.S. Acquesta, Patrick D. Finley, Mansoor A. Haider

Biology and Medicine Through Mathematics Conference

No abstract provided.

Incorporating Awareness, Misinformation And Optimal Control In A Model Of Sars-Cov-2, Eric Numfor

Biology and Medicine Through Mathematics Conference

No abstract provided.

Mathematical Modeling Of Immune Response To Sars-Cov-2, Hwayeon Ryu

Biology and Medicine Through Mathematics Conference

No abstract provided.

Information Feedback Delays Within Epidemic Models And Their Effect On Model Dynamics., Maria K. Bouka, Christopher Strickland Dr

Biology and Medicine Through Mathematics Conference

No abstract provided.

Topological Data Analysis Of Molecular Dynamics Simulations Of Monoclonal Antibodies, Melinda Kleczynski, Christina Bergonzo, Anthony Kearsley

Biology and Medicine Through Mathematics Conference

No abstract provided.

Stochastic Immunology Model And Its Analysis, Rahnuma Islam, David Swigon

Biology and Medicine Through Mathematics Conference

No abstract provided.

A Stochastic Multi-Host Model For West Nile Virus: Determining The Probability Of Disease Extinction!, Suzanne Robertson

Biology and Medicine Through Mathematics Conference

No abstract provided.

Clustering Using Self Organizing Maps In Biology, Olcay Akman

Biology and Medicine Through Mathematics Conference

No abstract provided.

Decoding Immune Cell Navigation: Integrating Artificial Life Modeling With Tumor Microenvironment Dynamics, Sadegh Marzban

Biology and Medicine Through Mathematics Conference

No abstract provided.

Plenary: Mathematics Of Malaria Transmission Dynamics: The Renewed Quest For Eradication, Abba Gumel

Biology and Medicine Through Mathematics Conference

No abstract provided.

Plenary: Insights Into Depression: Mathematical Approaches, Janet Best

Biology and Medicine Through Mathematics Conference

No abstract provided.

05-13--2024 Orsp Newsletter, Liz Williamson

ORSP Newsletter

Distinguished Research and Creative Achievement Award, Center for Practical Ethics, DARPA Connect, Air Force Internship

Spectral Characterization Of High-Speed Sers Fluctuations, Makayla Schmidt, Emily A. Farley, Marit A. Engevik, Alexandre G. Brolo, Nathan Lemke, Nathan Lindquist

Science Symposium

The concept of plasmonic “hotspots” is central to the broad field of nanophotonics. In surface-enhanced Raman scattering (SERS), hotspots can increase Raman scattering efficiency by orders of magnitude. Hotspot dimensions may range from a few nanometers down to the atomic scale and are able to generate SERS signals from single molecules. However, these single-molecule SERS signals often show significant fluctuations, and the concept of intense, localized, yet static hotspots has come into question. Recent experiments have shown these SERS intensity fluctuations (SIFs) to occur over an extremely wide range of timescales, from seconds to micro-seconds, due to the various physical …

Ankle Mobility And Balance In A Healthy College-Aged Population: A Correlational Study, Anna Johnson, Maddy Roiger, Ellie Stewart, Leah Jackson

Science Symposium

This study aimed to investigate the relationship between ankle mobility and balance in a young, healthy population, filling a gap in existing literature primarily focused on older adults. The findings revealed no significant correlation between ankle mobility and balance measures in the college-aged subjects. While previous research in elderly populations suggested a link between ankle mobility and balance, this study suggests that such a relationship may not hold true for younger individuals. These results underscore the importance of considering age-related differences and overall health status when exploring factors affecting balance, potentially guiding future research and intervention strategies aimed at improving …

Statistical Approaches For The Early Detection Of Colorectal Cancer Using Longitudinal Biomarkers, Emily Berry

Statistical Science Theses and Dissertations

Colorectal cancer (CRC) is the third leading cause of cancer-related death in the United States [45]. CRC is believed to advance from adenomatous polyps creating a unique opportunity for both early detection and cancer prevention [4, 23]. Like other diseases, CRC screening reduces mortality by detecting cancer at earlier, more treatable stages; however, it can also reduce incidence through the removal of precancerous lesions [4]. As a result, screening is recommended for average-risk adults ≥ 45 years of age and includes a variety of tests [4, 12]. Despite alternate screening options, colonoscopy capacity is often cited as a barrier to …

05-06--2024 Orsp Newsletter, Liz Williamson

ORSP Newsletter

Library Faculty Win NIH Award, Uniform Guidance Updates,

Heavy Metals In Afforested Mangrove Sediment From The World's Largest Delta: Distributional Mapping, Contamination Status, Risk Assessment And Source Tracing, Md Saifur Rahman, Moshiur Rahman, Yeasmin N Jolly, Md Kamal Hossain, Sanjida Afrin Semme, Bilal Ahamad Paray, Takaomi Arai, Jimmy Yu, M Belal Hossain

Student and Faculty Publications

This study aims to assess seasonal and spatial variations, contamination status, ecological risks, and metal sources (Ni, Pb, Cr, Cu, Mn, and Zn) in human-afforested mangrove sediments in a deltaic region. Five sampling locations were sampled during dry and wet seasons. Heavy metal concentrations followed the order: Mn > Zn > Ni > Cr > Cu > Pb. Metal loads, except Cu and Pb, were higher during the dry season, aligning with national and international recommendations. Sediment quality guidelines, contamination factor, geoaccumulation index, enrichment factors, and pollution load index indicated uncontaminated sediment in both seasons. Potential ecological risk assessment showed low risk conditions in all …

Accuracy Of Machine Learning To Predict The Outcomes Of Shoulder Arthroplasty: A Systematic Review, Amir H. Karimi, Joshua Langberg, Ajith Malige, Omar Rahman, Joseph A. Abboud, Michael A. Stone

Department of Orthopaedic Surgery Faculty Papers

BACKGROUND: Artificial intelligence (AI) uses computer systems to simulate cognitive capacities to accomplish goals like problem-solving and decision-making. Machine learning (ML), a branch of AI, makes algorithms find connections between preset variables, thereby producing prediction models. ML can aid shoulder surgeons in determining which patients may be susceptible to worse outcomes and complications following shoulder arthroplasty (SA) and align patient expectations following SA. However, limited literature is available on ML utilization in total shoulder arthroplasty (TSA) and reverse TSA.

METHODS: A systematic literature review in accordance with PRISMA guidelines was performed to identify primary research articles evaluating ML's ability to …

Identifying Phytoremediation Performing Plant Species That Can Be Utilized In The Improvement Of Heavy Metal Contaminated Soils, Ashley Clark*, Samuel Mutiti

Graduate Research Showcase

Heavy metal pollution is a problem associated with industrialization and development. Two major metals that are commonly mined and can enter the environment, which can jeopardize communities’ health, are copper (Cu) and lead (Pb). There are different options for reducing heavy metal pollution in the environment via remediation efforts, including physical, chemical, and biological methods. However, physical and chemical remediation can be costly and labor-intensive, making them unsuitable for regions that do not have the funds to utilize these practices. Biological remediation is a more cost-conservative practice that has been shown in many studies to be effective in the gradual …

Code For Care: Hypertension Prediction In Women Aged 18-39 Years, Kruti Sheth

Electronic Theses, Projects, and Dissertations

The longstanding prevalence of hypertension, often undiagnosed, poses significant risks of severe chronic and cardiovascular complications if left untreated. This study investigated the causes and underlying risks of hypertension in females aged between 18-39 years. The research questions were: (Q1.) What factors affect the occurrence of hypertension in females aged 18-39 years? (Q2.) What machine learning algorithms are suited for effectively predicting hypertension? (Q3.) How can SHAP values be leveraged to analyze the factors from model outputs? The findings are: (Q1.) Performing Feature selection using binary classification Logistic regression algorithm reveals an array of 30 most influential factors at an …