Medicine and Health Sciences Commons^™

Finding Trends In Big City Health Issues With Data Visualization, Shridhar Kulkarni

Dissertations and Theses

In recent years, data visualization has become one of the most effective tools to understand and identify unseen features of the large datasets available. An open source data set available for health issues for big cities across the United States was obtained. There are numerous indicators presented in the dataset including Demographics, Chronic Health Diseases, Social and Economic Factors, Food Safety, Mortality Rates, Cancer and Life Expectancy Rates. The dataset encompassed myriad of demographics as well as specific data for a number of US cities. The data was explored in different methods in Data points in terms of the demographic …

2020 - The Twenty-Fourth Annual Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the Twenty-fourth Annual Symposium of Student Scholars, held on April 16, 2020. Includes abstracts from the presentations and posters.

Biological Evaluation Of Fda-Approved Drugs As Mirna-31 Inhibitors Using Real Time Qrt-Pcr And A Luciferase Assay, Nicholas Sienkiewicz

Honors Theses

MicroRNAs (miRNAs) are a group of post-transcriptional, negative regulators of gene expression, consisting of ~19-24 nucleotides. Since their discovery in 1993, miRNAs have been found to be involved in a diverse amount of cellular and disease pathways, including certain types of cancer. Overexpression of certain oncogenic miRNAs, including miRNA-31, have been shown to play a role in cancer cell development. Recent findings have suggested that miRNAs play a significant role in every stage of colorectal cancer (CRC) initiation, progression, and development, as well as induce resistance to chemotherapy drugs like 5-FU. In particular, research has shown that increased levels of …

Auspicious Symbols Of Rank And Status, Byron Breedlove, Isaac Fung

Biostatistics, Epidemiology & Environmental Health Sciences: Faculty Publications

Work published in Emerging Infectious Diseases.

Impact Of Meteorological Factors On The Covid-19 Transmission: A Multicity Study In China, Jiangtao Liu, Ji Zhou, Jinxi Yao, Xiuxia Zhang, Lanyu Li, Xiaocheng Xu, Xiaotao He, Bo Wang, Shihua Fu, Tingting Niu, Jun Yan, Yanjun Shi, Xiaowei Ren, Jingping Niu, Weihao Zhu, Sheng Li, Bin Luo, Kai Zhang

Publications and Research

The purpose of the present study is to explore the associations between novel coronavirus disease 2019 (COVID- 19) case counts and meteorological factors in 30 provincial capital cities of China. We compiled a daily dataset including confirmed case counts, ambient temperature (AT), diurnal temperature range (DTR), absolute humidity (AH) and migration scale index (MSI) for each city during the period of January 20th to March 2nd, 2020. First, we explored the associations between COVID-19 confirmed case counts, meteorological factors, and MSI using non-linear regression. Then, we conducted a two-stage analysis for 17 cities with more than 50 confirmed cases. In …

Research Data Management From The Stem Perspective: Reproducibility, Data Reuse, Data Integration, Melissa D. Clarkson

Institute for Biomedical Informatics Presentations

This presentation highlights three big ideas in STEM data management:

• Reproducibility requires scripted pipelines
• Data reuse requires metadata and documentation
• Data integration requires use of standards

It also provides an overview of the FAIR principles for research data management.

Insights From The Influx Of Prescription Painkillers In Northeast Florida: A Retrospective Analysis, Joseph Free, Michelle Dedeo

Showcase of Osprey Advancements in Research and Scholarship (SOARS)

The opioid epidemic has had, and will have, long-lasting ramifications in the United States. To better understand its impact in the Northeast Florida, this research seeks to identify relationships between hydro- and oxycodone pill concentration at the county and zip code levels and socio-economic factors such as average adjusted gross income and opioid related mortality. This project utilizes time series, regression, and GIS methods to examine local opioid saturation and has led to the development of an interactive Tableau dashboard which allows users to view opioid saturation at various levels of granularity. This analysis is made possible by longitudinal data …

Water 4.0, Arthur Preston

OHSU-PSU School of Public Health Annual Conference

A review of local drinking water quality/technologies, and strategies to improve water quality using emerging next generation technology.

Biogeography Of Biological Control: Spatial Variation In Agent-Host Interactions, Nathan Harms

LSU Doctoral Dissertations

Management of plant invasions using biological control has the potential to generate spatial patterns which reflect geographic or genetic variation in invader or control agents. Despite its rarity in practice, investigations into the biogeography of interacting species (i.e., plant invader and control agent) in the context of biological control can lend insights into species distribution-abundance patterns and provide predictions for spatial variation in control success. I explored spatial variability in biological control agent-plant interactions using two wetland weed study systems with large geographic distributions: flowering rush (Butomus umbellatus L.) and alligatorweed (Alternanthera philoxeroides (Mart.) Griseb). Through literature and …

Information Mining For Covid-19 Research From A Large Volume Of Scientific Literature, Sabber Ahamed, Manar D. Samad

Computer Science Faculty Research

The year 2020 has seen an unprecedented COVID-19 pandemic due to the outbreak of a novel strain of coronavirus in 180 countries. In a desperate effort to discover new drugs and vaccines for COVID-19, many scientists are working around the clock. Their valuable time and effort may benefit from computer-based mining of a large volume of health science literature that is a treasure trove of information. In this paper, we have developed a graph-based model using abstracts of 10,683 scientific articles to find key information on three topics: transmission, drug types, and genome research related to coronavirus. A subgraph is …

Visualizing Metabolic Network Dynamics Through Time-Series Metabolomic Data., Lea F Buchweitz, James T Yurkovich, Christoph Blessing, Veronika Kohler, Fabian Schwarzkopf, Zachary A King, Laurence Yang, Freyr Jóhannsson, Ólafur E Sigurjónsson, Óttar Rolfsson, Julian Heinrich, Andreas Dräger

Articles, Abstracts, and Reports

BACKGROUND: New technologies have given rise to an abundance of -omics data, particularly metabolomic data. The scale of these data introduces new challenges for the interpretation and extraction of knowledge, requiring the development of innovative computational visualization methodologies. Here, we present GEM-Vis, an original method for the visualization of time-course metabolomic data within the context of metabolic network maps. We demonstrate the utility of the GEM-Vis method by examining previously published data for two cellular systems-the human platelet and erythrocyte under cold storage for use in transfusion medicine.

RESULTS: The results comprise two animated videos that allow for new insights …

Limited Early Warnings And Public Attention To Coronavirus Disease 2019 In China, January–February, 2020: A Longitudinal Cohort Of Randomly Sampled Weibo Users, Yuner Zhu, King-Wa Fu, Karen A. Grépin, Hai Liang, Isaac Fung

Biostatistics, Epidemiology & Environmental Health Sciences: Faculty Publications

Objective:

Awareness and attentiveness have implications for the acceptance and adoption of disease prevention and control measures. Social media posts provide a record of the public’s attention to an outbreak. To measure the attention of Chinese netizens to coronavirus disease 2019 (COVID-19), a pre-established nationally representative cohort of Weibo users was searched for COVID-19-related key words in their posts.

Methods:

COVID-19-related posts (N = 1101) were retrieved from a longitudinal cohort of 52 268 randomly sampled Weibo accounts (December 31, 2019–February 12, 2020).

Results:

Attention to COVID-19 was limited prior to China openly acknowledging human-to-human transmission on …

Complexities Of Data, Tasks And Workflows In Health It Management, Gaurav Jetley

USF Tampa Graduate Theses and Dissertations

This dissertation focuses on three key aspects in health IT management: (1) Complexities in the collection of health data in electronic health record (EHR) systems and the use of EHR data in research, (2) Complexities of collaboration between physicians and AI for improving healthcare delivery, and (3) Complexities of workflows and collaborations between healthcare organization (HCO) staff during the delivery of care. The first dissertation essay (Chapter 1) examines the key data quality issues that arise in recorded health information in EHR systems, provides quality thresholds that the data needs to meet for mitigating errors and increasing reproducibility of downstream …

Medication Errors Within The Clinical Setting: A Quality Improvement Project, Gracie Smith, Mary Thornburg, Connor Noble, Breanna Markwell, Sarah Rigsby, Suzi White

2022 Celebration of Student Scholarship - Poster Presentations

During a clinical rotation at a large urban teaching hospital, the occurrence of medication errors noted resulted in negative impacts on patient wellness. Research studies indicate that the U.S. spends more than $40 billion each year as a result of medication errors. A large portion of these medication errors are preventable. A thorough literature review of 40 research studies was conducted to identify issues associated with medication errors. This quality improvement project aims to identify the prevalence of medication errors, their effect on patient wellness, its monetary effects in healthcare, and what preventative interventions can be implemented to prevent such …

Testing The Ancestral Function Of Divergent Candida Albicans Virulence-Associated Proteins Via Expression In Saccharomyces Cerevisiae Mutants, Curtis Mack

Student Scholars Day Posters

Candida albicans is an opportunistic fungal pathogen and a member of the normal human microbiota. It is closely related to the harmless fungus, Saccharomyces cerevisiae. Some genes associated with the virulent nature of C. albicans are similar to genes in S. cerevisiae. Three of these genes, PHO13, NRG1, and TUP1 are known to repress the change from yeast to filamentous growth in C. albicans, an important virulence trait. However, similar genes in S. cerevisiae are known to have functional differences. Our goal was to see if the ancestral function of these genes have drifted apart by examining …

Craft Academy Solar Powered Racing (Caspr) Team, Andrew Dorn, Ally Hall, Bryce Watkins, Hayley Milner, Kaleb Trent, Owen Day, Sawyer Putnam, Joyce Stubbs, Steve Stubbs

2022 Celebration of Student Scholarship - Poster Presentations

The ultimate goal of the CASPR team is to build a solar powered car to race in the solar car for the Solar Car Challenge Classic Division, and race in a cross-county race or at the famous Texas Motor Speedway. The car must have taillights, blinkers, headlights, and extra suspension. For the fall semester of 2021, we researched different parts and other solar cars to see what would be the best fit most beneficial. We were able to find all the parts needed for the construction of the car. The Solar Car Challenge website provides some resources to make finding …

Santa Clara Magazine, Volume 61 Number 2, Spring 2020 [Print Issue V.61:1], Santa Clara University

Santa Clara Magazine

14 - THE UPSTART How Michael Mondavi ’66 helped get Napa on the wine map. By Ron Hansen.

18 - OF WOMEN AND MEN Emeritus professors dish on their research into wine and women. By Tracy Seipel.

22 - A SIGN OF LIGHT A Jesuit priest finds meaning on death row. By George Williams, S.J.

26 - FIRE AND WINE As the climate changes, what’s next for wine remains murky. By Tracy Seipel.

H-Discrete Fractional Model Of Tumor Growth And Anticancer Effects Of Mono And Combination Therapies, Kamala Dadashova

Masters Theses & Specialist Projects

In this thesis, we focus on h–discrete and h–discrete fractional representation of a pharmacokinetics-pharmacodynamics (PK-PD) model which describes tumor growth considering time on hNa, where h>0. First, we introduce some definitions, lemmas and theorems on both h–discrete and h–discrete fractional calculus in the preliminary section. In Chapter 3, we work on the PD model with delay by exam ining nabla h–discrete equations and nabla h–discrete fractional equations as well as variation of constants formulas, accordingly. We introduce our model and solve it using theorems we proved in the last section of the indicated chapter. When we do simulation for …

Concordance Between Health Administrative Data And Survey-Derived Diagnoses For Mood And Anxiety Disorders, J. Edwards, A. Thind, S. Stranges, M. Chiu, Kelly K. Anderson

Epidemiology and Biostatistics Publications

Objective: To assess whether estimates of survey structured interview diagnoses of mood and anxiety disorders were concordant with diagnoses of these disorders obtained from health administrative data.

Methods: All Ontario respondents to the 2012 Canadian Community Health Survey-Mental Health (CCHS-MH) were linked to health administrative databases at ICES (formerly known as the Institute for Clinical Evaluative Sciences). Survey structured interview diagnoses were compared with health administrative data diagnoses obtained using a standardized algorithm. We used modified Poisson regression analyses to assess whether socio-demographic factors were associated with concordance between the two measures.

Results: Of the 4157 Ontarians included in our …

Program And Proceedings: Nebraska Academy Of Sciences 1880–2020, 140th Anniversary Year, One Hundred-Thirtieth Annual Meeting

Nebraska Academy of Sciences: Programs and Proceedings

No abstract provided.

The Effectiveness Of Transfer Learning Systems On Medical Images, James Boit

Masters Theses & Doctoral Dissertations

Deep neural networks have revolutionized the performances of many machine learning tasks such as medical image classification and segmentation. Current deep learning (DL) algorithms, specifically convolutional neural networks are increasingly becoming the methodological choice for most medical image analysis. However, training these deep neural networks requires high computational resources and very large amounts of labeled data which is often expensive and laborious. Meanwhile, recent studies have shown the transfer learning (TL) paradigm as an attractive choice in providing promising solutions to challenges of shortage in the availability of labeled medical images. Accordingly, TL enables us to leverage the knowledge learned …

Impactos En La Salud Pública Y Desigualdades Frente Al Cambio Climático En América Latina: Una Aproximación Hacia Las Consecuencias Diferenciales De Las Inundaciones Y Olas De Calor En La Cuenca Matanza Riachuelo. / Public Health Impacts And Inequalities In The Face Of Climate Change In Latin America: An Approach Towards The Differential Consequences Of Floods And Heat Waves In The Matanza Riachuelo Watershed., Julia Mettler-Grove

Independent Study Project (ISP) Collection

La relación entre el cambio climático y la salud pública es un tema emergente y crítico para estudiar en la escala local, concretamente en lo que refiere a analizar los efectos producidos por las olas de calor y las inundaciones. Si bien existe un campo de investigación creciente sobre el tema, son pocos los trabajos que ahondan en la conexión con la salud pública, un elemento central para pensar en la gestión del cambio climático en las ciudades. Esto es precisamente lo que se propone hacer la presente investigación, tomando como caso de estudio la cuenca más urbanizada e industrializada …

The Wright State – Lake Campus 2019 – 2020 Scholarly Review, Wright State University - Lake Campus

Lake Campus Research Symposium Reports

This report provides a listing of the scholarly endeavors from Lake Campus during the 2019 calendar year, spanning across disciplines.

This document contains the Annual Research Report from 2019 and the Research Symposium Program from 2020.

Circada: Shiny Apps For Exploration Of Experimental And Synthetic Circadian Time Series With An Educational Emphasis, Lisa Cenek, Liubou Klindziuk, Cindy Lopez, Eleanor Mccartney, Blanca Martin Burgos, Selma Tir, Mary E. Harrington, Tanya L. Leise

Psychology: Faculty Publications

Circadian rhythms are daily oscillations in physiology and behavior that can be assessed by recording body temperature, locomotor activity, or bioluminescent reporters, among other measures. These different types of data can vary greatly in waveform, noise characteristics, typical sampling rate, and length of recording. We developed 2 Shiny apps for exploration of these data, enabling visualization and analysis of circadian parameters such as period and phase. Methods include the discrete wavelet transform, sine fitting, the Lomb-Scargle periodogram, autocorrelation, and maximum entropy spectral analysis, giving a sense of how well each method works on each type of data. The apps also …

Spring 2020, Joëlle Walls

The Investigator Research Magazine

Dear readers,

We are proud to present the spring issue of The Investigator, giving you an inside look into the varied research and scholarly activities taking place at Kennesaw State.

In a new interview, President Pamela Whitten discusses KSU's growing research reputation and lessons learned from her own experiences as a researcher and mentor. Similarly, our cover story follows three First-Year Scholars as they explore the possibilities of research in Martin Hudson's lab through a new Office of Undergraduate Research initiative.

This publication would not have been possible without the contributions of the editorial team, including undergraduates Kaelyn Ireland, Geena …

Cyber Security In The Healthcare Industry, Giovanni Ordonez 20

Honor Scholar Theses

No abstract provided.

Investigating Major League Baseball Pitchers And Quality Of Contact Through Cluster Analysis, Charlie Marcou

Honors Projects

This paper investigates the quality of contact that a pitcher allows. Not much is currently known about quality of contact, but if factors determining quality of contact could be determined it could assist teams in identifying and developing pitching talent. There are many problems that come with investigating the control pitchers have over contact allowed, but one area to investigate is whether quality of contact is a repeatable skill. Furthermore, if it is a repeatable skill, then it is important to investigate what kind of benefit controlling contact allowed brings a pitcher. Along with this, groundball and flyball tendencies, and …

Measuring Nomophobia And Exploration Of Consequences And Comorbidities, Sarah Marie Fryman, William L. Romine

Celebration of Undergraduate & Graduate Research, Scholarship, and Creative Activities Materials

Excessive use of smartphones has coined the term “Nomophobia”, or fear of not being able to use your smartphone. For many, these devices have become an extension of ourselves, which raises hesitation on whether or not society has become addicted to smartphones. Specific diagnostic criteria for smartphone addiction have yet to be settled, and even appropriate to use the word “addiction” when describing excessive usage of smartphones is controversial.

We therefore explore utilize current measures to explore the symptoms of nomophobia and their hierarchy, as well as comorbidities including social anxiety, self-esteem, distracted driving and sleep quality. A total of …

How Data Is Changing The World Of Healthcare, Cameron Marous

Honors Capstone Enhancement Presentations

No abstract provided.

A Public Health Perspective On Gen X Contamination In Drinking Water, Allison Stevens

Honors Capstone Enhancement Presentations

No abstract provided.