Physical Sciences and Mathematics Commons^™

Emergence Of Dental Nanomaterials: “Their Role In Performing Endodontic Therapy”, Chandrika Nama, John Wisniewski Dr.

Annual Research Symposium

No abstract provided.

The Impact Of A Hospital Protocol In Neonates At Risk For Neonatal Abstinence Syndrome (Nas), Victoria Pang

Annual Research Symposium

No abstract provided.

New Year, New Variant Or A Subvariant Of Old Omicron?, Parker Grossman, Manas Mandal

Annual Research Symposium

No abstract provided.

Adverse Infusion-Related Event Severity In Oncology Patients Receiving Chemotherapy Agents Vs. Immunotherapy Agents, Tayler Hutto

Annual Research Symposium

In recent years, immunotherapy investigational drugs in cancer research has been underway in treating multiple forms of cancer due to a lower side effect profile and decreased severe infusion-reaction risk compared to conventional chemotherapy agents. The purpose of this study was to determine the infusion reaction severity among patients receiving either chemotherapy treatment or immunotherapy agents based on the CTCAE (Common Terminology Criteria for Adverse Events) scale to improve patient care outcomes.

In this intent-to-treat, retrospective observational study, a survey of patients throughout 10 Intermountain Healthcare infusion clinics was conducted to obtain documentation on patients who had received chemotherapy and/or …

Presentation Of Paired P- And Q-Arm Mosaic Deletions On Chromosome 18 Associated With Neuropsychiatric Symptoms, Jackson Nielsen, Laura Minor, John Dougherty Jr., Paige Moore, Kailee Edwards, Brandon Burrell, Jameson Williams, John A. Kriak, David W. Sant, Kyle B. Bills

Annual Research Symposium

No abstract provided.

Hypoglycemia: A Mimic Of Global Ischemic Injury, Zachary Leavitt, Jay Babu, Sannah Vasaya, Robert Balsinger, Aroucha Vickers

Annual Research Symposium

No abstract provided.

Myolipoma Of The Eye Associate With Giant Fornix Syndrome, Trevor Jurges, Taylor Silva

Annual Research Symposium

This is our poster submission for the research symposium

Clinical Effects Of Lactobacillus Reuteri Probiotic In The Treatment Of Chronic Periodontitis: A Systematic Review Of Randomized Controlled Trials, Josephine Ram, Shilpa Bhandi, Kamran H. Awan, Frank Licari, Shankargouda Patil

Annual Research Symposium

No abstract provided.

Osteosarcoma Of The Breast, Jake Robins, Adira Ray, Yuna Jensen

Annual Research Symposium

We present a case report of a rare malignancy, primary osteosarcoma of the breast.

Intraosseous Hibernoma: Case Report And Review Of Current Literature, Eric Liou, Abdul Moiz Khan, Mosira Luekenga

Annual Research Symposium

No abstract provided.

The Effect Of Augmented Reality Feature Of Complete Anatomy Application On Educational Outcomes In Students With Autism Spectrum Disorder, Anagha Sanne

Annual Research Symposium

No abstract provided.

Nurse Educator Transition Into Academia-Lived Experience, Marika Chunyk, Marife Aczon-Armstrong

Annual Research Symposium

No abstract provided.

Examining Current Resources Available For Stroke Caregivers, Andrew Barlow

Annual Research Symposium

No abstract provided.

Association Between Vitamin D And Cardiovascular Disease: Findings From A National Study, Monica Ocampo, Amir Mohajeri, Man Hung

Annual Research Symposium

ABSTRACT

Introduction

Many studies have investigated the association between vitamin D and cardiovascular disease (CVD), but literature has shown various results. The aim of this study was to investigate the role of vitamin D in CVD.

Methods

Data source

The data were obtained from the 2015-2018 National Health and Nutrition Examination Survey database and included adults aged 20 years and older with a history of CVD. Descriptive statistics for participants’ demographics, vitamin D levels, CVD status, and risk factors were reported. Chi-square tests and t-tests were performed to examine differences in participant characteristics among those who had CVD and did …

Early Marriage And Reproductive Health Outcomes Among Women In South Asia, Sameen Kazmi

Annual Research Symposium

No abstract provided.

Association Of Asthma With Oral Health In Different Age Groups, Jody Chiang, Amir Mohajeri, Joseph Cheever, Frank Licari, Man Hung

Annual Research Symposium

No abstract provided.

Covid-19 Safety Protocol Communication From School: Dental Students' Experience, Daniel Yevseyevich

Annual Research Symposium

Survey of Dental students' experience of COVID-19 Safety protocols

Comparison Of Radiographic Exposure During Rct Using Wall Mounted Units Vs Nomad Mobile Units: A Retrospective Study, Mason Smith, Benjamin Ricks

Annual Research Symposium

Roseman Research Symposium

Fit Assessment Of Soft Milled Co-Cr And Zirconia Fixed Dental Prosthesis Compared To Cast Co-Cr., Elie E. Daou Prof

Annual Research Symposium

No abstract provided.

A New Global Divergence Free And Pressure-Robust Hdg Method For Tangential Boundary Control Of Stokes Equations, Gang Chen, Wei Gong, Mariano Mateos, John R. Singler, Yangwen Zhang

Mathematics and Statistics Faculty Research & Creative Works

In Gong et al. (2020), we proposed an HDG method to approximate the solution of a tangential boundary control problem for the Stokes equations and obtained an optimal convergence rate for the optimal control that reflects its global regularity. However, the error estimates depend on the pressure, and the velocity is not divergence free. The importance of pressure-robust numerical methods for fluids was addressed by John et al. (2017). In this work, we devise a new HDG method to approximate the solution of the Stokes tangential boundary control problem; the HDG method is also of independent interest for solving the …

A New Global Divergence Free And Pressure-Robust Hdg Method For Tangential Boundary Control Of Stokes Equations, Gang Chen, Wei Gong, Mariano Mateos, John R. Singler, Yangwen Zhang

Mathematics and Statistics Faculty Research & Creative Works

In Gong et al. (2020), we proposed an HDG method to approximate the solution of a tangential boundary control problem for the Stokes equations and obtained an optimal convergence rate for the optimal control that reflects its global regularity. However, the error estimates depend on the pressure, and the velocity is not divergence free. The importance of pressure-robust numerical methods for fluids was addressed by John et al. (2017). In this work, we devise a new HDG method to approximate the solution of the Stokes tangential boundary control problem; the HDG method is also of independent interest for solving the …

Multicollinearity Applied Stepwise Stochastic Imputation: A Large Dataset Imputation Through Correlation‑Based Regression, Benjamin D. Leiby, Darryl K. Ahner

Faculty Publications

This paper presents a stochastic imputation approach for large datasets using a correlation selection methodology when preferred commercial packages struggle to iterate due to numerical problems. A variable range-based guard rail modification is proposed that benefits the convergence rate of data elements while simultaneously providing increased confidence in the plausibility of the imputations. A large country conflict dataset motivates the search to impute missing values well over a common threshold of 20% missingness. The Multicollinearity Applied Stepwise Stochastic imputation methodology (MASS-impute) capitalizes on correlation between variables within the dataset and uses model residuals to estimate unknown values. Examination of the …

The Use Of Probability In Quantum Mechanics To Calculate Measurement Outcomes, Hannah E. Collins

CAFE Symposium 2023

The concept of probability can help measure some of the possible outcomes of different experiments in the field of quantum mechanics. Those experiments include Thomas Young's double slit experiment, the Schrödinger equation, the wave function, and the Born Rule, which all make use of probability to predict the placement of certain subatomic particles including photons of light, in the experiments. In this project, the manner in which probability does this is explored in depth.

The Probability Of Miracles, Lewis A. Pummell

CAFE Symposium 2023

An insight into the probability that we will experience a miracle within our lives. This project considers different ways of defining a miracle, and how this impacts how we consider them in our lives. They are paradoxical, and completely subjective - although there are key concepts of probability which will guide opinion.

Looking For Life, Conor C. Grubb

CAFE Symposium 2023

The topic of aliens is not just about conspiracy theories and tinfoil hats, through the years numerous respected scientists have weighed in and put thought into the topic. The Search for Extraterrestrial Intelligence (SETI) is closely tied to the Fermi Paradox and the Drake Equation. The Fermi Paradox considers why humans haven't already interacted with aliens if they exist, and the Drake Equation outlines potential variables that would influence the chances of humanity receiving radio contact from an alien civilization.

Two-Stage Approach For Forensic Handwriting Analysis, Ashlan J. Simpson, Danica M. Ommen

SDSU Data Science Symposium

Trained experts currently perform the handwriting analysis required in the criminal justice field, but this can create biases, delays, and expenses, leaving room for improvement. Prior research has sought to address this by analyzing handwriting through feature-based and score-based likelihood ratios for assessing evidence within a probabilistic framework. However, error rates are not well defined within this framework, making it difficult to evaluate the method and can lead to making a greater-than-expected number of errors when applying the approach. This research explores a method for assessing handwriting within the Two-Stage framework, which allows for quantifying error rates as recommended by …

A Characterization Of Bias Introduced Into Forensic Source Identification When There Is A Subpopulation Structure In The Relevant Source Population., Dylan Borchert, Semhar Michael, Christopher Saunders

SDSU Data Science Symposium

In forensic source identification the forensic expert is responsible for providing a summary of the evidence that allows for a decision maker to make a logical and coherent decision concerning the source of some trace evidence of interest. The academic consensus is usually that this summary should take the form of a likelihood ratio (LR) that summarizes the likelihood of the trace evidence arising under two competing propositions. These competing propositions are usually referred to as the prosecution’s proposition, that the specified source is the actual source of the trace evidence, and the defense’s proposition, that another source in a …

Application Of Gaussian Mixture Models To Simulated Additive Manufacturing, Jason Hasse, Semhar Michael, Anamika Prasad

SDSU Data Science Symposium

Additive manufacturing (AM) is the process of building components through an iterative process of adding material in specific designs. AM has a wide range of process parameters that influence the quality of the component. This work applies Gaussian mixture models to detect clusters of similar stress values within and across components manufactured with varying process parameters. Further, a mixture of regression models is considered to simultaneously find groups and also fit regression within each group. The results are compared with a previous naive approach.

Finite Mixture Modeling For Hierarchically Structured Data With Application To Keystroke Dynamics, Andrew Simpson, Semhar Michael

SDSU Data Science Symposium

Keystroke dynamics has been used to both authenticate users of computer systems and detect unauthorized users who attempt to access the system. Monitoring keystroke dynamics adds another level to computer security as passwords are often compromised. Keystrokes can also be continuously monitored long after a password has been entered and the user is accessing the system for added security. Many of the current methods that have been proposed are supervised methods in that they assume that the true user of each keystroke is known apriori. This is not always true for example with businesses and government agencies which have internal …

Models For Predicting Maximum Potential Intensity Of Tropical Cyclones, Iftekhar Chowdhury, Gemechis Djira

SDSU Data Science Symposium

Tropical cyclones (TCs) are considered as extreme weather events, which has a low-pressure center, namely an eye, strong winds, and a spiral arrangement of thunderstorms that produces heavy rain, storm surges, and can cause severe destruction in coastal areas worldwide. Therefore, reliable forecasts of the maximum potential intensity (MPI) of TCs are critical to estimate the damages to properties, lives, and risk assessment. In this study, we explore and propose various regression models, to predict the potential intensity of TCs in the North Atlantic at 12, 24, 36, 48, 60, and 72- hour forecasting lead time. In addition, a popular …