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Articles 1 - 6 of 6
Full-Text Articles in Medicine and Health Sciences
Projecting, Persuading, & Protecting: A Mixed Methods Analysis Of Adult Children’S Predictions Of Parents’ Quality-Of-Life Valuations In Serious Illness States, Jessica Hahne
Arts & Sciences Electronic Theses and Dissertations
Older adults often face complex serious illness decisions and involve their adult children as shared or surrogate decision makers. However, previous research asking family members to predict older adults’ treatment preferences in serious illness situations typically shows poor concordance with older adults’ actual preferences. In the current mixed methods analysis, we surveyed older adults (n = 38) on their health state valuations in five serious illness scenarios. Two of their adult children (n = 76) predicted their parent’s preferences. Families also participated in a semi-structured conversation to discuss their preferences and predictions.
Quantitative analyses showed that parents’ average valuations were …
Automatic Cardiac Mri Image Segmentation And Mesh Generation, Ziyuan Li
Automatic Cardiac Mri Image Segmentation And Mesh Generation, Ziyuan Li
McKelvey School of Engineering Theses & Dissertations
Segmenting and reconstructing cardiac anatomical structures from magnetic resonance (MR) images is essential for the quantitative measurement and automatic diagnosis of cardiovascular diseases [1]. However, manual evaluation of the time-series cardiac MRI (CMRI) obtained during routine clinical care are laborious, inefficient, and tends to produce biased and non-reproducible results [2]. This thesis proposes an end-to-end pipeline for automatically segmenting short-axis (SAX) CMRI images and generating high-quality 2D and 3D meshes suitable for finite element analysis. The main advantage of our approach is that it can not only work as a stand-alone pipeline for the automatic CMR image segmentation and mesh …
Characterization Of Subcellular Functional Domains In The Vesicular Glutamate Transporter 3-Expressing Retinal Amacrine Cell Using Correlative Light And Electron Microscopy, Karl Friedrichsen
Arts & Sciences Electronic Theses and Dissertations
The following work seeks to better understand how neurons process multiple streams of information within the branches of their dendritic arbors. We use correlated light and electron microscopy to capture both live subcellular calcium responses and detailed morphology and synaptic connectivity in a unique retinal amacrine cell in order to directly study the relationship between structure and function. The vesicular glutamate transporter 3-expressing amacrine cell (VG3) selectively integrates and segregates visual information within its arbor branches and provides multiple target neuron types with appropriate excitatory or inhibitory synaptic inputs. By reconstructing VG3 arbor branches, synapses, and connected cell types, we …
The Effect Of Spinal Cord Stimulation And Video Games Training On Body-Machine Interface Control, Jie Fei
The Effect Of Spinal Cord Stimulation And Video Games Training On Body-Machine Interface Control, Jie Fei
McKelvey School of Engineering Theses & Dissertations
Damage to the spinal cord causes long-lasting loss of motor and sensory function, and currently, there is no ‘cure’ for paralysis. However, even people with severe spinal cord injuries (SCI) have some residual mobility. Studies have shown that transcutaneous electrical spinal cord stimulation (tSCS) combined with functional training targeting residual mobility can further improve the motor function of individuals with SCI. In this study, we present a technical framework that aims to enhance rehabilitation outcomes by targeting residual mobility through a motor training-based approach. Our technical framework centers around a non-invasive body-machine interface (BoMI) that relies on the use of …
Feature Selection From Clinical Surveys Using Semantic Textual Similarity, Benjamin Warner
Feature Selection From Clinical Surveys Using Semantic Textual Similarity, Benjamin Warner
McKelvey School of Engineering Theses & Dissertations
Survey data collected from human subjects can contain a high number of features while having a comparatively low quantity of examples. Machine learning models that attempt to predict outcomes from survey data under these conditions can overfit and result in poor generalizability. One remedy to this issue is feature selection, which attempts to select an optimal subset of features to learn upon. A relatively unexplored source of information in the feature selection process is the usage of textual names of features, which may be semantically indicative of which features are relevant to a target outcome. The relationships between feature names …
Synthesis, Radiolabeling And Evaluation Of A Suite Of Tracers With 44Sc For Detecting Extracellular Dna, Zhiyao Li
McKelvey School of Engineering Theses & Dissertations
Neutrophil extracellular traps involve the rapid translocation of DNA to the outside of the cell under certain stimuli. This structure forms a fibrous network that is able to limit the spread of pathogens and to kill microorganisms. It has also been shown to be present in various pathological processes such as inflammation, autoimmune diseases, and cancer metastasis. Currently, the formation process of NETs in vivo is being extensively studied. However noninvasive detection and quantitation has yet to be achieved. A class of PET tracers are described here that consists of a DNA dye as the backbone that is labeled with …