Physical Sciences and Mathematics Commons^™

Evaluation On Appropriateness Of Fluoroquinolone Use In An Acute Care Hospital, Cynthia Huang

Annual Research Symposium

No abstract provided.

Covid-19 Variant, Vaccine And Booster, Manas Mandal

Annual Research Symposium

No abstract provided.

Rna Sequencing Reveals That Cyp3a5 Sirna Treatment Induces Cell Cycle Blockade And Senescence In Mdapca2b Human Prostate Cancer Cells, Jeetesh Sharma

Annual Research Symposium

No abstract provided.

Evaluation Of Appropriate Initiation And De-Escalation Of Piperacillin-Tazobactam In Hospitalized Patients At An Acute Care Hospital, Ivy Yang

Annual Research Symposium

No abstract provided.

Student Perception On The Implementation Of An End-Of-The-Day Quiz And Its Impact On Student Learning And Class Attendance In A Three-Year Accelerated Doctorate Program Of Pharmacy., Desiree Chong, Jousef Alandy0dy, Arup Chakraborty

Annual Research Symposium

No abstract provided.

Participation In Curriculum And Cultural Ambassador Group To Enhance Student Belongingness, Jake Tuft, Jacob Schvaneveldt

Annual Research Symposium

COVID-19 negatively impacted students' abilities to participate in live, in-person events; students were unable to interact with peers or build relationships critical to success and well-being. Quarantine, social distancing and video conferencing did not create this problem however, it simply amplified the fact that dental students seemingly lack camaraderie and a sense of belongingness. The Curriculum and Cultural Ambassador group was created to allow students to bond over shared goals in the hopes of improving their experiences within dental school. This group gives students the ability to “Be the Change” on campus and enact real-time change to foster a sense …

A Standardized Approach To Blood Pressure Training In First-Year Medical Students, Andrew Romney

Annual Research Symposium

No abstract provided.

Succinic Semialdehyde Dehydrogenase Deficiency (Ssadhd): Qualitative Needs Assessment For Patients With A Rare Neurological Disorder, Cassandra Bovee, Kayla Woodring

Annual Research Symposium

No abstract provided.

Identifying Bias In Healthcare And Creating Intervention Strategies At Colleges Of Medicine And Other Healthcare Professions, Cameron Chalmers, Emmanuel Oyalabu

Annual Research Symposium

No abstract provided.

Identification Of Gsk-3 Beta Inhibitors From Natural Products, Vincent Anella, Tyler Rose

Annual Research Symposium

No abstract provided.

Evaluation Of The Neurogenic And Dentinogenic Effect Of Valproic Acid On Undifferentiated Mesenchymal Cells Of Human Dental Pulp, Edward Yeates

Annual Research Symposium

No abstract provided.

Comparing The Efficacy Of Sodium Fluoride And Silver Diamine Fluoride In Arresting Caries Through Statistical Analysis, Elana Ferris

Annual Research Symposium

No abstract provided.

Examining The Effects Of Individual And Neighborhood Factors On Hiv Transmission Risk Potential Among People With Hiv, Semiu Olatunde Gbadamosi

FIU Electronic Theses and Dissertations

HIV transmission risk significantly increases in late-diagnosed HIV and at HIV viral load (VL) >1500 copies/mL. The objective of this dissertation was to examine factors associated with HIV transmission risk potential for persons with HIV (PWH) using measures of time from HIV infection to diagnosis and trajectories of VL suppression. Additionally, we sought to determine whether a single yearly VL measure—the current standard to track the HIV epidemic in the United States—is reliable in assessing viral suppression for PWH. The first study estimated the distribution of time from HIV infection to diagnosis in Florida using a CD4 depletion model and …

A Reflection Of Real Time Educational, Within-Subjects Data In Diverse Classrooms: One-Way Anova As A Solution To Data With Nonignorable Missingness And Skew, Amilynn Campa

Honors Program Theses and Research Projects

Schools across the United States and throughout the world administer tests to students to evaluate their academic performance. In many instances, however, especially in classrooms with higher populations of racial/ethnic minorities and low SES students, there are often missing scores, attributed to higher rates of absenteeism among these demographics (Callahan, 2019; Friedman-Krauss & Raver, 2015; Evans, 2004). When evaluating within subjects, longitudinal data, many will utilize a pre, post significance test such as a paired samples T test or a Repeated Measures ANOVA, however, due to the assumptions of these tests, missing data has posed a problem and requires data …

A Machine Learning Framework For Identifying Molecular Biomarkers From Transcriptomic Cancer Data, Md Abdullah Al Mamun

FIU Electronic Theses and Dissertations

Cancer is a complex molecular process due to abnormal changes in the genome, such as mutation and copy number variation, and epigenetic aberrations such as dysregulations of long non-coding RNA (lncRNA). These abnormal changes are reflected in transcriptome by turning oncogenes on and tumor suppressor genes off, which are considered cancer biomarkers.

However, transcriptomic data is high dimensional, and finding the best subset of genes (features) related to causing cancer is computationally challenging and expensive. Thus, developing a feature selection framework to discover molecular biomarkers for cancer is critical.

Traditional approaches for biomarker discovery calculate the fold change for each …

A Physically Constrained Wavelet-Aided Statistical Model (Pcwasm) For Multidecadal Groundwater Dynamics Predictions And Climate Change Evaluation, Fatih Gordu

USF Tampa Graduate Theses and Dissertations

Long-term groundwater management relies on forecasts of decadal or longer groundwater levels driven by nested scales of variability in climate. Discerning the impacts of anthropogenic stressors on groundwater is also critical for establishing predevelopment benchmark groundwater conditions and developing climate change adaptation strategies to reduce risks and increase resiliency. This research demonstrates the development and successful applications of a new methodology to predict and assess multidecadal groundwater dynamics for understanding long-term effects of climate change and groundwater withdrawals.

A Physically Constrained Wavelet-Aided Statistical Model (PCWASM) is first introduced to analyze and predict monthly aquifer levels on multidecadal time scales. The …

Comparative Analysis Of Trends In American Physics Education, Adam Tyler Crank

Honors Capstone Projects and Theses

No abstract provided.

Television Viewing Time And All-Cause Mortality: Interactions With Bmi, Physical Activity, Smoking, And Dietary Factors, Christopher T. Swain, Julie K. Bassett, Allison M. Hodge, David W. Dunstan, Neville Owen, Yi Yang, Harindra Jayasekara, James R. Hébert Scd, Nitin Shivappa Mbbs, Mph, Ph.D., Robert J. Macinnis, Roger L. Milne, Dallas R. English, Brigid M. Lynch

Faculty Publications

Background Higher levels of time spent sitting (sedentary behavior) contribute to adverse health outcomes, including earlier death. This effect may be modified by other lifestyle factors. We examined the association of television viewing (TV), a common leisure-time sedentary behavior, with all-cause mortality, and whether this is modified by body mass index (BMI), physical activity, smoking, alcohol intake, soft drink consumption, or diet-associated inflammation. Methods Using data from participants in the Melbourne Collaborative Cohort Study, flexible parametric survival models assessed the time-dependent association of self-reported TV time (three categories: < 2 h/day, 2-3 h/day, > 3 h/day) with all-cause mortality. Interaction terms were fitted to test whether …

Using Fine-Scale Aquatic Habitat Data To Construct Dreissenid Sdms In The Laurentian Great Lakes, Grace C. Henderson

USF Tampa Graduate Theses and Dissertations

The invasion of the Laurentian Great Lakes by aquatic invasive species (AIS) has been the subject of investigation for decades, due to their dramatic alterations to the ecosystem and high economic costs. Two AIS with the largest impacts are dreissenid zebra and quagga mussels, and though these species have been studied extensively, questions remain about what factors control their distributions, and whether lake warming will alter these distributions. Species distribution models (SDMs) offer a powerful tool to examine the relationship between species presences and environmental variables, which are typically bioclimactic data. The creation of the Aquatic Habitat (AqHab) dataset containing …

Measurements Of Generalizability And Adjustment For Bias In Clinical Trials, Yuanyuan Lu

USF Tampa Graduate Theses and Dissertations

While randomized controlled trials (RCTs) are widely used as a gold standard in clinical research and public health, they are criticized because of a potential lack of generalizability, as the trial patients may be unrepresentative of the target patient population. Few research addresses how to assess and evaluate the generalizability of RCTs. As we know, patients are rarely selected on a random basis from a well-defined patient population of interest into a clinical trial. Generalizing findings from the RCT samples to the patient population has begun to receive increasing attention. We simulate a patient population with treatment effect size of …

Effective Statistical And Machine Learning Methods To Analyze Children's Vocabulary Learning, Houston T. Sanders

USF Tampa Graduate Theses and Dissertations

Poor methodological and statistical practices can lead to unreliable results. The collaboration between statisticians and researchers can remedy this. Early education intervention research rarely uses advanced statistical techniques. Within early education, vocabulary instruction has been well-studied, yet outcomes continue to be underwhelming. The specialized knowledge and expertise statisticians possess has the potential to enhance word learning research by applying sophisticated analyses not commonly used. Choosing vocabulary words for instruction can be a daunting task and is highly subjective. In an effort to aid in the selection process, researchers use a word selection framework that groups words into three tiers. Even …

Split Classification Model For Complex Clustered Data, Katherine Gerot

Honors Theses

Classification in high-dimensional data has generated tremendous interest in a multitude of fields. Data in higher dimensions often tend to reside in non-Euclidean metric space. This prevents Euclidean-based classification methodologies, such as regression, from reliably modeling the data. Many proposed models rely on computationally-complex embedding to convert the data to a more usable format. Others, namely the Support Vector Machine, rely on kernel manipulation to implicitly describe the "feature space" to arrive at a non-linear decision boundary. The proposed methodology in this paper seeks to classify complex data in a relatively computationally-simple and explainable manner.

Volitional Control Of Lower-Limb Prosthesis With Vision-Assisted Environmental Awareness, S M Shafiul Hasan

FIU Electronic Theses and Dissertations

Early and reliable prediction of user’s intention to change locomotion mode or speed is critical for a smooth and natural lower limb prosthesis. Meanwhile, incorporation of explicit environmental feedback can facilitate context aware intelligent prosthesis which allows seamless operation in a variety of gait demands. This dissertation introduces environmental awareness through computer vision and enables early and accurate prediction of intention to start, stop or change speeds while walking. Electromyography (EMG), Electroencephalography (EEG), Inertial Measurement Unit (IMU), and Ground Reaction Force (GRF) sensors were used to predict intention to start, stop or increase walking speed. Furthermore, it was investigated whether …

Use Of Machine Learning Approaches And Statistical Techniques To Adjust For Nonadherence In Randomized Clinical Trials., Andrew G Chapple

School of Public Health Faculty Publications

No abstract provided.

Determinants Of Covid-19 Vaccinations Among A State-Wide Year-Long Surveillance Initiative In A Conservative Southern State, Lídia Gual-Gonzalez, Maggie S.J. Mccarter, Kyndall Dye-Braumuller, Stella Self, Connor H. Ross, Chloe Rodriguez-Ramos, Virginie G. Daguise, Melissa Nolan Ph.D., Mph

Faculty Publications

By the end of 2021, the COVID-19 pandemic resulted in over 54 million cases and more than 800,000 deaths in the United States, and over 350 million cases and more than 5 million deaths worldwide. The uniqueness and gravity of this pandemic have been reflected in the public health guidelines poorly received by a growing subset of the United States population. These poorly received guidelines, including vaccine receipt, are a highly complex psychosocial issue, and have impacted the successful prevention of disease spread. Given the intricate nature of this important barrier, any single statistical analysis methodologically fails to address all …

Team Coordination Dynamics Of Winning Nba Teams, Alli Grunkemeyer, Joel H. Sommerfeld

UNO Student Research and Creative Activity Fair

Predicting sports games outcomes is an endless pursuit shared by stakeholders ranging from fans to coaches to data scientists. We have begun investigating the value of positional data recorded during basketball gameplay with the goal of predicting outcomes from team dynamics as they emerge. We approached this problem by analyzing the “shape” of team movements on the court and investigated whether team dynamics in NBA games mimicked long-range correlated patterns observed in other team contexts. We analyzed 622 NBA games from an archival data set, including all area time series obtained for each of the four quarters. We fit a …

Predicting Tf33-Pw-100a Engine Failures Due To Oil Issues Using Survival Analyses, Anna M. Davis

Theses and Dissertations

In 2007, the Office of the Assistant Secretary of Defense for Sustainment pushed for the need to transition to a Condition Based Maintenance Plus (CBM ) initiative for weapon systems in the U.S. Department of Defense. The CBM initiative can help increase aircraft availability (AA) for the United States Air Force. There are many reasons where AA can be affected but one such issue is engine availability primarily due to oil issues. Within the CBM perspective, this study examines the risk of a jet engine failure due to an oil issue and attempts to predict an engines time until next …

Experimental Design On High-Speed Sliding Wear, Irene D. Liew

Theses and Dissertations

The purpose of this research is to develop, conduct, and analyze an experimental design that characterizes wear rates of various materials sliding at high speeds along AISI 4340 steel. This work is in support of Holloman Air Force Base, which is invested in engineering a more wear-resistant rocket slipper for its high-speed test track. This research uses a design of experiments approach to systematically identify and evaluate potential slipper attributes that mitigate wear according to a heat transfer model. Final findings include recommendations of slipper materials that theoretically perform similar to or better than the baseline Vascomax®C300 maraging steel material. …

Riding The Wave: Reactive Vector-Borne Disease Policy Renders The United States Vulnerable To Outbreaks And Insecticide Resistance, Kyndall C. Dye-Braumuller, Jennifer R. Gordon, Kaci Mccoy, Danielle Johnson, Rhoel Dinglasan, Melissa Nolan Ph.D., Mph

Faculty Publications

Funding for vector-borne disease surveillance, management, and research is cyclical and reactive in the United States. The subsequent effects have yielded gross inequities nationally that unintentionally support recurrent outbreaks. This policy forum is comprised of four primary subsections that collectively identify specific areas for improvement and offer innovative solutions to address national inadequacies in vector borne disease policy and infrastructure.

Death-Related Anxiety Associated With Riskier Decision-Making Irrespective Of Framing: A Bayesian Model Comparison, Blaine Tomkins

Psychology Faculty Publications

A commonly reported finding is that anxious individuals are less likely to make risky decisions. However, no studies have examined whether this association extends to death-related anxiety. The present study examined how groups low, moderate, and high in death-related anxiety make decisions with varying levels of risk. Participants completed a series of hypothetical bets in which the probability of a win was systematically manipulated. High-anxiety individuals displayed the greatest risk-taking behavior, followed by the moderate-anxiety group, with the low-anxiety group being most risk-averse. Experiment 2 tested this association further by framing outcomes in terms of losses, rather than gains. A …