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2021

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Articles 91 - 120 of 662

Full-Text Articles in Statistics and Probability

Effects Of Sesame Consumption On Inflammatory Biomarkers In Humans: A Systematic Review And Meta-Analysis Of Randomized Controlled Trials, Shabnam Rafiee, Roghaye Faryabi, Mohammad Ali Zareian, Jessie Hawkins, Nitin Shivappa Mbbs, Mph, Ph.D., Laila Shirbeigi Nov 2021

Effects Of Sesame Consumption On Inflammatory Biomarkers In Humans: A Systematic Review And Meta-Analysis Of Randomized Controlled Trials, Shabnam Rafiee, Roghaye Faryabi, Mohammad Ali Zareian, Jessie Hawkins, Nitin Shivappa Mbbs, Mph, Ph.D., Laila Shirbeigi

Faculty Publications

Objectives. Existing evidence produces conflicting findings regarding the effect of sesame intake on inflammatory biomarkers; thisknowledge gap has yet to be met through systematic review and meta-analysis. )is meta-analysis of randomized, controlledclinical trials (RCTs) was conducted to evaluate the effects of sesame consumption on markers of inflammation in humans. Methods. PubMed, Scopus, and the Cochrane Database of Systematic Reviews were searched through August 2020 to identify relevant papers for inclusion. Using the random-effects model, data were evaluated as weighted mean differences (WMD) with 95% confidence intervals (CI). Cochrane’s Q and I-squared (I2) tests were used to …


Do Firms Respond To Peer Disclosures? Evidence From Clinical Trial Disclosures, Vedran Capkun, Yun Lou, Clemens A. Otto, Yin Wang Nov 2021

Do Firms Respond To Peer Disclosures? Evidence From Clinical Trial Disclosures, Vedran Capkun, Yun Lou, Clemens A. Otto, Yin Wang

Research Collection School Of Accountancy

We examine whether a firm’s decision to disclose non-financial proprietary information depends on peer disclosures of similar information. Using a sample of 5,035 unique clinical trials by U.S. pharmaceutical firms over the 2007-2014 period, we find that the firm is less likely to disclose its own clinical trial results if peers have published clinical trial results pertaining to the same medical condition. Conditional on disclosing clinical trial results, the firm is also less likely to disclose the trial results on time when peers have disclosed their clinical trial results. Our cross-sectional tests suggest that proprietary costs of disclosure play an …


Port Throughput Forecasting Using Arima And Ols Regression : Case Study : Gwangyang Port In Korea, Shin Park Oct 2021

Port Throughput Forecasting Using Arima And Ols Regression : Case Study : Gwangyang Port In Korea, Shin Park

World Maritime University Dissertations

No abstract provided.


Online And Adjusted Human Activities Recognition With Statistical Learning, Yanjia Zhang Oct 2021

Online And Adjusted Human Activities Recognition With Statistical Learning, Yanjia Zhang

USF Tampa Graduate Theses and Dissertations

Wearable human activity recognition (HAR) is a widely application system for our daily life. It hasbeen built in many devices, such as smartphone, smartwatch, activity tracker, and health monitor. Many researchers try to develop a system which requires less memory space and power, but has fast and accurate classification results. Moreover, the objective of adjusting the classifier by the system self is also a study direction. In the present study, we introduced the machine learning methods to both smartphone data and smartwatch data and an adjusted model with the continuous generating data. Further, we also proposed a new HAR system …


Shape-Based Classification Of Partially Observed Curves, With Applications To Anthropology, Gregory J. Matthews, Karthik Bharath, Sebastian Kurtek, Juliet K. Brophy, George K. Thiruvathukal, Ofer Harel Oct 2021

Shape-Based Classification Of Partially Observed Curves, With Applications To Anthropology, Gregory J. Matthews, Karthik Bharath, Sebastian Kurtek, Juliet K. Brophy, George K. Thiruvathukal, Ofer Harel

Computer Science: Faculty Publications and Other Works

We consider the problem of classifying curves when they are observed only partially on their parameter domains. We propose computational methods for (i) completion of partially observed curves; (ii) assessment of completion variability through a nonparametric multiple imputation procedure; (iii) development of nearest neighbor classifiers compatible with the completion techniques. Our contributions are founded on exploiting the geometric notion of shape of a curve, defined as those aspects of a curve that remain unchanged under translations, rotations and reparameterizations. Explicit incorporation of shape information into the computational methods plays the dual role of limiting the set of all possible completions …


A Comparison Of Bayesian Spatial Models For Hiv Mapping In South Africa, Kassahun Abere Ayalew, Samuel Manda, Bo Cai Ph.D. Oct 2021

A Comparison Of Bayesian Spatial Models For Hiv Mapping In South Africa, Kassahun Abere Ayalew, Samuel Manda, Bo Cai Ph.D.

Faculty Publications

Despite making significant progress in tackling its HIV epidemic, South Africa, with 7.7 million people living with HIV, still has the biggest HIV epidemic in the world. The Government, in collaboration with developmental partners and agencies, has been strengthening its responses to the HIV epidemic to better target the delivery of HIV care, treatment strategies and prevention services. Population-based household HIV surveys have, over time, contributed to the country’s efforts in monitoring and understanding the magnitude and heterogeneity of the HIV epidemic. Local-level monitoring of progress made against HIV and AIDS is increasingly needed for decision making. Previous studies have …


Facilitating Team-Based Data Science: Lessons Learned From The Dsc-Wav Project, Chelsey Legacy, Andrew Zieffler, Benjamin S. Baumer, Valerie Barr, Nicholas J. Horton Oct 2021

Facilitating Team-Based Data Science: Lessons Learned From The Dsc-Wav Project, Chelsey Legacy, Andrew Zieffler, Benjamin S. Baumer, Valerie Barr, Nicholas J. Horton

Statistical and Data Sciences: Faculty Publications

While coursework provides undergraduate data science students with some relevant analytic skills, many are not given the rich experiences with data and computing they need to be successful in the workplace. Additionally, students often have limited exposure to team-based data science and the principles and tools of collaboration that are encountered outside of school. In this paper, we describe the DSC-WAV program, an NSF-funded data science workforce development project in which teams of undergraduate sophomores and juniors work with a local non-profit organization on a data-focused problem. To help students develop a sense of agency and improve confidence in their …


Cognitive Effects Of The Bet Protein Inhibitor Apabetalone: A Prespecified Montreal Cognitive Assessment Analysis Nested In The Betonmace Randomized Controlled Trial, Jeffrey Cummings, Gregory G. Schwartz, Stephen J. Nicholls, Aziz Khan, Chris Halliday, Peter P. Toth, Michael Sweeney, Jan O. Johansson, Norman C.W. Wong, Ewelina Kulikowski, Kamyar Kalantar-Zadeh, Kenneth Lebioda, Henry N. Ginsberg, Bengt Winblad, Henrik Zetterberg, Kausik K. Ray Oct 2021

Cognitive Effects Of The Bet Protein Inhibitor Apabetalone: A Prespecified Montreal Cognitive Assessment Analysis Nested In The Betonmace Randomized Controlled Trial, Jeffrey Cummings, Gregory G. Schwartz, Stephen J. Nicholls, Aziz Khan, Chris Halliday, Peter P. Toth, Michael Sweeney, Jan O. Johansson, Norman C.W. Wong, Ewelina Kulikowski, Kamyar Kalantar-Zadeh, Kenneth Lebioda, Henry N. Ginsberg, Bengt Winblad, Henrik Zetterberg, Kausik K. Ray

School of Medicine Faculty Research

Background: Epigenetic changes may contribute importantly to cognitive decline in late life including Alzheimer's disease (AD) and vascular dementia (VaD). Bromodomain and extra-terminal (BET) proteins are epigenetic 'readers' that may distort normal gene expression and contribute to chronic disorders. Objective: To assess the effects of apabetalone, a small molecule BET protein inhibitor, on cognitive performance of patients 70 years or older participating in a randomized trial of patients at high risk for major cardiovascular events (MACE). Methods: The Montreal Cognitive Assessment (MoCA) was performed on all patients 70 years or older at the time of randomization. 464 participants were randomized …


A Roadmap For Building Data Science Capacity For Health Discovery And Innovation In Africa, Joseph Beyene, Solomon W. Harrar, Mekibib Altaye, Tessema Astatkie, Tadesse Awoke, Ziv Shkedy, Tesfaye B. Mersha Oct 2021

A Roadmap For Building Data Science Capacity For Health Discovery And Innovation In Africa, Joseph Beyene, Solomon W. Harrar, Mekibib Altaye, Tessema Astatkie, Tadesse Awoke, Ziv Shkedy, Tesfaye B. Mersha

Statistics Faculty Publications

Technological advances now make it possible to generate diverse, complex and varying sizes of data in a wide range of applications from business to engineering to medicine. In the health sciences, in particular, data are being produced at an unprecedented rate across the full spectrum of scientific inquiry spanning basic biology, clinical medicine, public health and health care systems. Leveraging these data can accelerate scientific advances, health discovery and innovations. However, data are just the raw material required to generate new knowledge, not knowledge on its own, as a pile of bricks would not be mistaken for a building. In …


Determining Diagnosis Date Of Diabetes Using Structured Electronic Health Record (Ehr) Data: The Search For Diabetes In Youth Study, Kristin M. Lenoir, Lynne E. Wagenknecht, Jasmin Divers, Ramon Casanova, Dana Dabelea, Sharon Saydah, Catherine Pihoker, Angela D. Liese Ph.D., Debra Standiford, Richard Hamman, Brian J. Wells, The Search For Diabetes In Youth Study Group Oct 2021

Determining Diagnosis Date Of Diabetes Using Structured Electronic Health Record (Ehr) Data: The Search For Diabetes In Youth Study, Kristin M. Lenoir, Lynne E. Wagenknecht, Jasmin Divers, Ramon Casanova, Dana Dabelea, Sharon Saydah, Catherine Pihoker, Angela D. Liese Ph.D., Debra Standiford, Richard Hamman, Brian J. Wells, The Search For Diabetes In Youth Study Group

Faculty Publications

Background Disease surveillance of diabetes among youth has relied mainly upon manual chart review. However, increasingly available structured electronic health record (EHR) data have been shown to yield accurate determinations of diabetes status and type. Validated algorithms to determine date of diabetes diagnosis are lacking. The objective of this work is to validate two EHR-based algorithms to determine date of diagnosis of diabetes. Methods A rule-based ICD-10 algorithm identified youth with diabetes from structured EHR data over the period of 2009 through 2017 within three children’s hospitals that participate in the SEARCH for Diabetes in Youth Study: Cincinnati Children’s Hospital, …


On The Extension Of Exponentiated Pareto Distribution, Amal S. Hassan, Saeed Elsayed Hemeda, Said G. Nassr Oct 2021

On The Extension Of Exponentiated Pareto Distribution, Amal S. Hassan, Saeed Elsayed Hemeda, Said G. Nassr

Journal of Modern Applied Statistical Methods

In this study, an extended exponentiated Pareto distribution is proposed. Some statistical properties are derived. We consider maximum likelihood, least squares, weighted least squares and Bayesian estimators. A simulation study is implemented for investigating the accuracy of different estimators. An application of the proposed distribution to a real data is presented.


Systematic Review Of Polyherbal Combinations Used In Metabolic Syndrome, Amber Hanif Palla, Faridah Amin, Bilqees Fatima, Arooj Shafiq, Najeeb Ur Rehman, Ikram Ul Haq, Anwar-Ul-Hassan Gilani Oct 2021

Systematic Review Of Polyherbal Combinations Used In Metabolic Syndrome, Amber Hanif Palla, Faridah Amin, Bilqees Fatima, Arooj Shafiq, Najeeb Ur Rehman, Ikram Ul Haq, Anwar-Ul-Hassan Gilani

Department of Biological & Biomedical Sciences

Background: Metabolic syndrome (MetS) is a multifactorial disease, whose main stay of prevention and management is life-style modification which is difficult to attain. Combination of herbs have proven more efficacious in multi-targeted diseases, as compared to individual herbs owing to the "effect enhancing and side-effect neutralizing" properties of herbs, which forms the basis of polyherbal therapies This led us to review literature on the efficacy of herbal combinations in MetS.
Methods: Electronic search of literature was conducted by using Cinnahl, Pubmed central, Cochrane and Web of Science, whereas, Google scholar was used as secondary search tool. The key words used …


A Clash Of Cultures: The Struggle Of Native Americans To Participate In Traditional Ecological Knowledge And Western Science Under California’S Marine Life Protection Act, John W. Corbett, Ruthie A. Maloney Oct 2021

A Clash Of Cultures: The Struggle Of Native Americans To Participate In Traditional Ecological Knowledge And Western Science Under California’S Marine Life Protection Act, John W. Corbett, Ruthie A. Maloney

IdeaFest: Interdisciplinary Journal of Creative Works and Research from Cal Poly Humboldt

This article comprehensively details the culture clash that took place between Native Americans, the North Group Science Panel, and the Science Advisory Team (SAT) involved in the Marine Life Protection Act (MLPA). In 1999, the California Legislature passed the Marine Life Protection Act to create a statewide, science-driven network of marine reserves along the 1,100 miles of the California coast. The MLPA was meant to protect marine areas from overharvesting, and an initiative was formed to create a state marine reserve system advised by regional science panels. The science panel, a public body, decided that Native Americans science was not …


Ovarian Cancer Epidemiology, Healthcare Access And Disparities (Orchid): Methodology For A Population-Based Study Of Black, Hispanic And White Patients With Ovarian Cancer, Tomi Akinyemiju, April Deveaux, Lauren Wilson, Anjali Gupta, Ashwini Joshi, Malcolm Bevel, Chioma Omeogu, Onyinye Ohamadike, Bin Huang, Maria Pisu, Margaret Liang, Molly Mcfatrich, Erin Daniell, Laura Jane Fish, Kevin Ward, Maria Schymura, Andrew Berchuck, Arnold L. Potosky Oct 2021

Ovarian Cancer Epidemiology, Healthcare Access And Disparities (Orchid): Methodology For A Population-Based Study Of Black, Hispanic And White Patients With Ovarian Cancer, Tomi Akinyemiju, April Deveaux, Lauren Wilson, Anjali Gupta, Ashwini Joshi, Malcolm Bevel, Chioma Omeogu, Onyinye Ohamadike, Bin Huang, Maria Pisu, Margaret Liang, Molly Mcfatrich, Erin Daniell, Laura Jane Fish, Kevin Ward, Maria Schymura, Andrew Berchuck, Arnold L. Potosky

Biostatistics Faculty Publications

INTRODUCTION: Less than 40% of patients with ovarian cancer (OC) in the USA receive stage-appropriate guideline-adherent surgery and chemotherapy. Black patients with cancer report greater depression, pain and fatigue than white patients. Lack of access to healthcare likely contributes to low treatment rates and racial differences in outcomes. The Ovarian Cancer Epidemiology, Healthcare Access and Disparities study aims to characterise healthcare access (HCA) across five specific dimensions-Availability, Affordability, Accessibility, Accommodation and Acceptability-among black, Hispanic and white patients with OC, evaluate the impact of HCA on quality of treatment, supportive care and survival, and explore biological mechanisms that may contribute to …


Faculty Versus Student Repeatability On Evaluating Translucency Of The Anterior Dentition, James L. Sheets, David B. Marx, Nina Ariani, Valentim A. R. Barão, Alvin G. Wee Oct 2021

Faculty Versus Student Repeatability On Evaluating Translucency Of The Anterior Dentition, James L. Sheets, David B. Marx, Nina Ariani, Valentim A. R. Barão, Alvin G. Wee

Department of Statistics: Faculty Publications

The objective was to compare the repeatability between dental faculty, whose clinical practice was primarily restorative dentistry, and final year dental students in categorizing the inherent translucency of images selected at random using either a 3- or 7-point scale (translucent to opaque). Digital images of anterior dentition were randomly selected based on inherent translucency. Thirty images (five were repeated) were randomized and categorized by 20 dental students and 20 faculty on their inherent translucency. Statistical analysis was performed using an F test for analysis of variance at 95% confidence interval. A covariance parameter estimate (CPE) was accomplished to compare the …


The Mediating/Moderating Role Of Cultural Context Factors On Self-Care Practices Among Those Living With Diabetes In Rural Appalachia, Brittany L. Smalls, Adebola Adegboyega, Ellen Combs, Matthew Rutledge, Philip M. Westgate, Md. Tofial Azam, Felipe De La Barra, Lovoria B. Williams, Nancy E. Schoenberg Oct 2021

The Mediating/Moderating Role Of Cultural Context Factors On Self-Care Practices Among Those Living With Diabetes In Rural Appalachia, Brittany L. Smalls, Adebola Adegboyega, Ellen Combs, Matthew Rutledge, Philip M. Westgate, Md. Tofial Azam, Felipe De La Barra, Lovoria B. Williams, Nancy E. Schoenberg

Family and Community Medicine Faculty Publications

Background

The aim of this study was to examine whether cultural factors, such as religiosity and social support, mediate/moderate the relationship between personal/psychosocial factors and T2DM self-care in a rural Appalachian community.

Methods

Regression models were utilized to assess for mediation and moderation. Multilevel linear mixed effects models and GEE-type logistic regression models were fit for continuous (social support, self-care) and binary (religiosity) outcomes, respectively.

Results

The results indicated that cultural context factors (religiosity and social support) can mediate/moderate the relationship between psychosocial factors and T2DM self-care. Specifically, after adjusting for demographic variables, the findings suggested that social support may …


Math 671: Statistical Method I, Dao Nguyen Oct 2021

Math 671: Statistical Method I, Dao Nguyen

GMAS Course Syllabi

No abstract provided.


Covid Round 2: Workplace Support And Compassion Fatigue In Emergency Workers, Carlene A. Robinson, Kelly L. Sullivan Oct 2021

Covid Round 2: Workplace Support And Compassion Fatigue In Emergency Workers, Carlene A. Robinson, Kelly L. Sullivan

Biostatistics, Epidemiology & Environmental Health Sciences: Faculty Publications

No abstract provided.


A Biological Assessment Of Water Quality In El Placer, Ecuador: The Effect Of Agriculture On Stream Health And The Quality Of Historical Versus Current Drinking Water Sources, Danielle Kleinberg Oct 2021

A Biological Assessment Of Water Quality In El Placer, Ecuador: The Effect Of Agriculture On Stream Health And The Quality Of Historical Versus Current Drinking Water Sources, Danielle Kleinberg

Independent Study Project (ISP) Collection

Although fresh water is one of Ecuador’s most abundant resources, high quality drinking water for its inhabitants is scarce (Wingfield et al., 2021). The most prevalent sources of water pollution in Ecuador are domestic waste, silver and gold mining, oil production, and agricultural chemicals (Buckalew et al., 1997). El Placer, a village located in Tungurahua, Ecuador, is highly dependent on agriculture as a source of income. The first objective of this study was to determine the effect of agriculture on the El Placer’s Tía Anita Stream through comparing the water quality at three sites with varying agricultural influence. The second …


An Evaluation Of The Organic Carbon Content Found In Fucus Vesiculosus And Ascophyllum Nodosum From Skutulsfjörður And Eyjafjörður, Iceland, Sylvie Alexander Oct 2021

An Evaluation Of The Organic Carbon Content Found In Fucus Vesiculosus And Ascophyllum Nodosum From Skutulsfjörður And Eyjafjörður, Iceland, Sylvie Alexander

Independent Study Project (ISP) Collection

In response to global warming and changing climate, carbon sequestration through macroalgal cultivation has emerged as a possible climate change mitigation technique. Macroalgal cultivation’s relationship to carbon sequestration however is still not well understood. It is imperative to understand macroalgae’s connection to carbon sequestration to evaluate if macroalgal cultivation can help combat climate change. There is a gap in literature regarding the carbon content of Icelandic macroalgae and therefore the contribution of Icelandic macroalgae to national and global carbon sequestration estimates. This paper aims to address this knowledge gap by evaluating organic carbon content of Fucus vesiculosus and Ascophyllum nodosum …


Empirical Modeling Of Tilt-Rotor Aerodynamic Performance, Michael C. Stratton Oct 2021

Empirical Modeling Of Tilt-Rotor Aerodynamic Performance, Michael C. Stratton

Mechanical & Aerospace Engineering Theses & Dissertations

There has been increasing interest into the performance of electric vertical takeoff and landing (eVTOL) aircraft. The propellers used for the eVTOL propulsion systems experience a broad range of aerodynamic conditions, not typically experienced by propellers in forward flight, that includes large incidence angles relative to the oncoming airflow. Formal experiment design and analysis techniques featuring response surface methods were applied to a subscale, tilt-rotor wind tunnel test for three, four, five, and six blade, 16-inch diameter, propeller configurations in support of development of the NASA LA-8 aircraft. Investigation of low-speed performance included a maximum speed of 12 m/s and …


Medical Outcomes, Quality Of Life, And Family Perceptions For Outpatient Vs Inpatient Neutropenia Management After Chemotherapy For Pediatric Acute Myeloid Leukemia, Kelly D Getz, Julia E Szymczak, Yimei Li, Rachel Madding, Yuan-Shung V Huang, Catherine Aftandilian, Staci D Arnold, Kira O Bona, Emi Caywood, Anderson B Collier, M Monica Gramatges, Meret Henry, Craig Lotterman, Kelly Maloney, Amir Mian, Rajen Mody, Elaine Morgan, Elizabeth A Raetz, Jeffrey Rubnitz, Anupam Verma, Naomi Winick, Jennifer J Wilkes, Jennifer C Yu, Brian T Fisher, Richard Aplenc Oct 2021

Medical Outcomes, Quality Of Life, And Family Perceptions For Outpatient Vs Inpatient Neutropenia Management After Chemotherapy For Pediatric Acute Myeloid Leukemia, Kelly D Getz, Julia E Szymczak, Yimei Li, Rachel Madding, Yuan-Shung V Huang, Catherine Aftandilian, Staci D Arnold, Kira O Bona, Emi Caywood, Anderson B Collier, M Monica Gramatges, Meret Henry, Craig Lotterman, Kelly Maloney, Amir Mian, Rajen Mody, Elaine Morgan, Elizabeth A Raetz, Jeffrey Rubnitz, Anupam Verma, Naomi Winick, Jennifer J Wilkes, Jennifer C Yu, Brian T Fisher, Richard Aplenc

Department of Medicine Faculty Papers

Importance: Pediatric acute myeloid leukemia (AML) requires multiple courses of intensive chemotherapy that result in neutropenia, with significant risk for infectious complications. Supportive care guidelines recommend hospitalization until neutrophil recovery. However, there are little data to support inpatient over outpatient management.

Objective: To evaluate outpatient vs inpatient neutropenia management for pediatric AML.

Design, setting, and participants: This cohort study used qualitative and quantitative methods to compare medical outcomes, patient health-related quality of life (HRQOL), and patient and family perceptions between outpatient and inpatient neutropenia management. The study included patients from 17 US pediatric hospitals with frontline chemotherapy start dates ranging …


Multiple Frailty Model For Spatially Correlated Interval-Censored, Wanfang Zhang Oct 2021

Multiple Frailty Model For Spatially Correlated Interval-Censored, Wanfang Zhang

Theses and Dissertations

In this paper, we consider the problem of multiple frailty selection for general interval-censored spatial survival data, which often occurs in clinical trials and epidemiological studies. The general interval-censored data is a mixture of left-, right- and interval-censored data. We propose a Bayesian semiparametric approach based on the Cox proportional hazard model, where monotone splines were used for non-parametrical modeling of the cumulative baseline hazards where the variable selection priors were used for frailty selection. A two-stage data augmentation with Poisson latent variables is developed for efficient computation. The approach is evaluated based a simulation study and illustrated using a …


Using Concurrent Functional Regression To Reconstruct River Stage Data During Flood Events And Identify Influential Functional Measurements, Ryan Pittman Oct 2021

Using Concurrent Functional Regression To Reconstruct River Stage Data During Flood Events And Identify Influential Functional Measurements, Ryan Pittman

Theses and Dissertations

On October 4, 2015, the Cedar Creek gage at Congaree National Park stopped reporting stages, and the readings did not resume until approximately two weeks later because of record-breaking rainfall that led to some of the worst flooding in South Carolina history. Our goal is to reconstruct the Cedar Creek stage during this missing two-week window. The Congaree River gage in Congaree National Park remained functioning throughout the October 2015 flood, when the stage reached its maximum recorded crest. The stages from the two gages are directly related during floods as water travels through the local spillways and flood planes …


Association Between The Beta Band Neural Response And The Behavioral Performance In Aphasic And Neurologically Intact Individuals, Yilun Zhang Oct 2021

Association Between The Beta Band Neural Response And The Behavioral Performance In Aphasic And Neurologically Intact Individuals, Yilun Zhang

Theses and Dissertations

The complex motor act of speech requires integrating linguistic and sensorimotor processes. Sensorimotor interaction mainly supports speech production in the form of state feedback control architecture. While speaking, subjects react to perturbations in the pitch of voice auditory feedback by changing their tone in the opposite direction to pitch-shift stimuli to compensate for the perceived pitch shift. Aphasia is a communication impairment affecting patients’ speaking, understanding, reading, and writing. The present study aims to examine the association between brain neural activity and the ability for speech auditory feedback error correction in both post-stroke aphasia and neurologically intact individuals. There are …


Giplot: An R Package For Visualizing The Summary Statistics Of A Quantitative Variable, Siddhanta Phuyal, Mamunur Rashid, Jyotirmoy Sarkar Oct 2021

Giplot: An R Package For Visualizing The Summary Statistics Of A Quantitative Variable, Siddhanta Phuyal, Mamunur Rashid, Jyotirmoy Sarkar

Student Research

A GI plot is a graphical tool that pictorially represents the five-number summary, the mean, the standard deviation, the sample size, and flags potential outliers that are c standard deviations away from the mean together with their frequencies. The GI plot was developed by Sarkar and Rashid (2021) as a companion to the boxplot. The purpose of this paper is to provide an overview of the GIplot package and introduce the main functionality of the package using several examples.


Exploring The Relationship Between Mandatory Helmet Use Regulations And Adult Cyclists’ Behavior In California Using Hybrid Machine Learning Models, Fatemeh Davoudi Kakhki, Maria Chierichetti Oct 2021

Exploring The Relationship Between Mandatory Helmet Use Regulations And Adult Cyclists’ Behavior In California Using Hybrid Machine Learning Models, Fatemeh Davoudi Kakhki, Maria Chierichetti

Mineta Transportation Institute

In California, bike fatalities increased by 8.1% from 2015 to 2016. Even though the benefits of wearing helmets in protecting cyclists against trauma in cycling crash has been determined, the use of helmets is still limited, and there is opposition against mandatory helmet use, particularly for adults. Therefore, exploring perceptions of adult cyclists regarding mandatory helmet use is a key element in understanding cyclists’ behavior, and determining the impact of mandatory helmet use on their cycling rate. The goal of this research is to identify sociodemographic characteristics and cycling behaviors that are associated with the use and non-use of bicycle …


Marginally Interpretable Models And Multilevel Models For Quantile Regression With Random-Effects, Nahid Sultana Sumi Oct 2021

Marginally Interpretable Models And Multilevel Models For Quantile Regression With Random-Effects, Nahid Sultana Sumi

Theses and Dissertations

The quantile regression model is an active area of statistical research that has received a lot of attention. This complements the most widely used statistical tool, that is, mean regression analysis. Quantile regression analysis It has become more flexible because of its properties that include no assumption on the distribution of the response variable, equivalent to monotone transformations, and robustness to outliers. However, regression analysis offers methodological challenges if the observations are not independent. Cluster, multilevel, and repeated measures (longitudinal data) designs introduce such dependence. The correlation between observations on the same units or clusters should be accounted for to …


Science Is For Everybody: A Resource For Understanding Glaciers, Climate, And Modeling, Emma Watson Oct 2021

Science Is For Everybody: A Resource For Understanding Glaciers, Climate, And Modeling, Emma Watson

Independent Study Project (ISP) Collection

Climate change threatens the existence of glaciers worldwide. In order to properly interact with these changing systems, we must first understand them. Glacial models provide an excellent way to do this; however, the language and mathematical concepts used in their creation is generally inaccessible to a common audience. This project presents an online resource for a general audience to interact with climate science, glaciology, and glacial modeling. Long term goals for the project include the incorporation of a glacial model of Drangajökull, Vestfirðir, NW Iceland. As such, focus for the project includes a literature review of glaciers, Drangajökull in particular, …


The Labyrinth Of Data Collection For Humanitarian Project Funding And Implementation, Maria Alejandra Pulido Oct 2021

The Labyrinth Of Data Collection For Humanitarian Project Funding And Implementation, Maria Alejandra Pulido

Independent Study Project (ISP) Collection

My research concentrates on four NGOs: IOM, IDMC, JIPS, and OCHA which use different tools to collect data and translate the information into evidence for data-driven decision making (DDDM) for the implementation of humanitarian assistance projects. I focus on the importance, advantages, and various data collection tools which help ameliorate the humanitarian sector since it does not have a current professionalized path to enter the workforce. I incorporated four interviews, attended two conferences and analyzed multiple online sources during my project.