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Full-Text Articles in Medicine and Health Sciences

The Relevance Of Sex Differences In Performance Fatigability, Sandra K. Hunter Nov 2016

The Relevance Of Sex Differences In Performance Fatigability, Sandra K. Hunter

Exercise Science Faculty Research and Publications

Performance fatigability differs between men and women for a range of fatiguing tasks. Women are usually less fatigable than men, and this is most widely described for isometric fatiguing contractions and some dynamic tasks. The sex difference in fatigability is specific to the task demands so that one mechanism is not universal, including any sex differences in skeletal muscle physiology, muscle perfusion, and voluntary activation. However, there are substantial knowledge gaps about the task dependency of the sex differences in fatigability, the involved mechanisms, and the relevance to clinical populations and with advanced age. The knowledge gaps are in part …


A Fourier Description Of Covariance, And Separation Of Simultaneously Encoded Slices With In-Plane Acceleration In Fmri, Mary C. Kociuba Oct 2016

A Fourier Description Of Covariance, And Separation Of Simultaneously Encoded Slices With In-Plane Acceleration In Fmri, Mary C. Kociuba

Dissertations (1934 -)

Functional magnetic resonance imaging (fMRI) studies aim to identify localized neural regions associated with a cognitive task performed by the subject. An indirect measure of the brain activity is the blood oxygenation level dependent (BOLD) signal fluctuations observed within the complex-valued spatial frequencies measured over time. The standard practice in fMRI is to discard the phase information after image reconstruction, even with evidence of biological task-related change in the phase time-series. In the first aim of this dissertation, a complex-valued time-series covariance is derived as a linear combination of second order temporal Fourier frequency coefficients. As opposed to magnitude-only analysis, …


Snpredict: A Machine Learning Approach For Detecting Low Frequency Variants In Cancer, Vatsal Mehra Jul 2016

Snpredict: A Machine Learning Approach For Detecting Low Frequency Variants In Cancer, Vatsal Mehra

Master's Theses (2009 -)

Cancer is a genetic disease caused by the accumulation of DNA variants such as single nucleotide changes or insertions/deletions in DNA. DNA variants can cause silencing of tumor suppressor genes or increase the activity of oncogenes. In order to come up with successful therapies for cancer patients, these DNA variants need to be identified accurately. DNA variants can be identified by comparing DNA sequence of tumor tissue to a non-tumor tissue by using Next Generation Sequencing (NGS) technology. But the problem of detecting variants in cancer is hard because many of these variant occurs only in a small subpopulation of …


Rna-Seq Analysis Of Localized Mst1/Stk4 Expression In Prostate Cancer, Damien Ready Jul 2016

Rna-Seq Analysis Of Localized Mst1/Stk4 Expression In Prostate Cancer, Damien Ready

Master's Theses (2009 -)

The SKT4-encoded MST1 is a serine-threonine protein kinase and has known associations with many diseases and cancer.MST1 plays a critical component of the Hippo tumor suppressor pathway responsible for limiting cell division and promoting apoptosis.Loss of MST1 function is associated with poor prognostic outcomes for cancers, though the mechanism is not well understood.There is increasing evidence that dysregulation of MST1 can lead to castration-resistant prostate cancer (CRPCa), an aggressive cancer with limited treatment options.To better understand the mechanistic underpinnings of CRPCa progression, C4-2 prostate cancer cells were engineered toexpress MST1 protein directed to a particular subcellular region: membrane, nucleus, or …


Can A Home-Based Cardiac Physical Activity Program Improve The Physical Function Quality Of Life In Children With Fontan Circulation?, Roni M. Jacobsen, Salil Ginde, Kathleen Mussatto, Jennifer Neubauer, Michael G. Earing, Michael E. Danduran Apr 2016

Can A Home-Based Cardiac Physical Activity Program Improve The Physical Function Quality Of Life In Children With Fontan Circulation?, Roni M. Jacobsen, Salil Ginde, Kathleen Mussatto, Jennifer Neubauer, Michael G. Earing, Michael E. Danduran

Exercise Science Faculty Research and Publications

Objective

Patients after Fontan operation for complex congenital heart disease (CHD) have decreased exercise capacity and report reduced health-related quality of life (HRQOL). Studies suggest hospital-based cardiac physical activity programs can improve HRQOL and exercise capacity in patients with CHD; however, these programs have variable adherence rates. The impact of a home-based cardiac physical activity program in Fontan survivors is unclear. This pilot study evaluated the safety, feasibility, and benefits of an innovative home-based physical activity program on HRQOL in Fontan patients.

Methods

A total of 14 children, 8–12 years, with Fontan circulation enrolled in a 12-week moderate/high intensity home-based …


Video Game Interventions To Improve Cognition In Older Adults, David E. C. Marra Apr 2016

Video Game Interventions To Improve Cognition In Older Adults, David E. C. Marra

Master's Theses (2009 -)

Cognitive abilities decline as part of the normal aging process. Various non-pharmacological interventions are being studied in an effort to ameliorate this cognitive decline. Some of these interventions include computerized cognitive training, such as neuropsychological software (i.e., brain training games) and video games. A previous study in our lab found that older adults who played a brain training game or a video poker game showed similar cognitive gains. The purpose of the present study was to follow the methodological procedures of our previous study to try and determine if the positive effects seen for the brain training program and video …


Reinforcement Learning, Error-Related Negativity, And Genetic Risk For Alzheimer's Disease, Christina Marie Figueroa Apr 2016

Reinforcement Learning, Error-Related Negativity, And Genetic Risk For Alzheimer's Disease, Christina Marie Figueroa

Dissertations (1934 -)

Reinforcement learning (RL) has been widely used as a model of animal and human learning and decision-making. The neural networks underlying RL involve many of the same structures primarily affected by Alzheimer’s disease (AD) such as the hippocampus. Yet, RL and non-invasive evaluation of its neural underpinnings have been underutilized as a framework for understanding disease pathology and its pre-clinical states. This study aimed to provide a novel approach for assessing subtle changes in asymptomatic apolipoprotein-E (APOE) carriers and non-carriers. Electroencephalography was collected from forty APOE genotyped older adults (Male n = 11; Mage = 79.30; Meducation = 14.88 years) …