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Development of Biomimetic Human Lung Alveolus Chip

Description: The potential of physiologically relevant in vitro cell culture models for studying physiological and pathophysiological phenomena has been widely recognized as replacements for animal and conventional in vitro models. To create models that accurately replicate the structure and function of tissues and organs, it is essential to comprehend the biophysical and mechanical features of the extracellular matrix (ECM) and incorporate them into the in vitro cell culture models. Therefore, we first aim… more
Date: May 2023
Creator: Man, Kun
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Modeling of Hypertrophic Cardiomyopathy Using hiPSC-Derived Cardiomyocytes with Static Mechanical Stretching

Description: The heart is a dynamic environment that is constantly experiencing some degree of remodeling from the point of development, all the way through adulthood. While many genetic components may contribute to the overall presentation of hypertrophic cardiomyopathy (HCM), mutations occurring in sarcomere components such as myosin binding protein C3 (MYBPC3) are of the greatest popularity for study. Aiming to understand the mechanisms underlying heart diseases and to develop effective treatments that c… more
Date: May 2023
Creator: Rogozinski, Nicholas
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Viability Study of Nylon-12 Carbon Fiber Filaments for Use in the Construction of a Powered Lower Body Exoskeleton via Fused Deposition Modeling by Means of Computer Simulation

Description: Members of the elderly population is disproportionately prone to experiencing mobility impairment due to their aging bodies and as a result have frail bodies that are at a higher risk of grave injury due to falling. In order to combat this assistive mobility devices such as exoskeletons have been developed to help patients enhance their range of motion. With additive manufacturing techniques, such as fused deposition modeling (FDM), becoming a more mainstream form of design, the inclusion of li… more
Date: May 2021
Creator: Joiner, Michael Andrew Lown
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Effects of Attachment Height and Rail Material of Resistance Training Sled on Trunk Lean and Jerk During Linear Acceleration Training

Description: Sprint acceleration training has been highly researched and found that resistance sleds are one of the most effective tools for maximizing training adaptations. The resistance sled is being used by many of the world leaders in athletic training but has yet to be researched for the kinetic and kinematic effects some of its key components cause. The aim of this study was to better understand the effects of the attachment height on the sled and sled rail material on the user's trunk lean and jerki… more
Date: May 2021
Creator: Fitzgerald, Sean
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Nanolithographic Approaches to Probing Cell Membrane Modulation

Description: Metastatic cancer is more dangerous and difficult to treat than pre-metastatic cancer. Ninety percent of cancer-related deaths are caused by metastatic cancer. When cells go through metastases, they go through changes that allow them to break away from the primary tumor and invade secondary tissues. These changes, in lipid membrane composition and cellular glycocalyx, make the cell more resistant to therapeutics. Actin cytoskeleton contractility plays a major role in these changes, as increased… more
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Date: May 2022
Creator: Mathis, Katelyn
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Modeling Hypertrophic Cardiomyopathy Using Genome-Edited Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes in Response to Dynamic Mechanotransduction

Description: Familial hypertrophic cardiomyopathy (HCM) is a genetic disease largely caused by a mutation in myosin binding protein C (MYBPC3) and it affects about 1:500 population leading to arrhythmic sudden death, heart failure, and atrial fibrillation. MYBPC3 activates calcium-induced actin-myosin filament sliding within the cardiac sarcomere, creating the force necessary for heart contraction. The underlying molecular mechanisms causing HCM phenotype remain elusive, therefore, there is an urgent need f… more
Date: May 2022
Creator: Strimaityte, Dovile
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Engineering Whole Cell-Based Biosensors for Heavy Metal Detection Using Metalloregulatory Transcriptional Repressors of the SmtB/ArsR Family

Description: This study focuses on engineering whole cell-based biosensors for heavy metal detection. Through the exploitation of metalloregulatory proteins, fabrication of metal ion-responsive biosensors is achieved. Metalloregulatory proteins of the SmtB/ArsR family including arsenite-responsive ArsR, cadmium-responsive CadC, zinc-responsive CzrA, and nickel-responsive NmtR were evaluated as biosensor sensing modules. Characterization of these four metal sensing modules was accomplished through quantifica… more
Date: May 2022
Creator: Draeger, Alison
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Parkinson's Disease and UPDRS-III Prediction Using Quiet Standing Data and Applied Machine Learning

Description: Parkinson's disease (PD) is a neurodegenerative disease that affects motor abilities with increasing severity as the disease progresses. Traditional methods for diagnosing PD require specialists scoring qualitative symptoms using the motor subscale of the Unified Parkinson's Disease Rating Scale (UPDRS-III). Using force-plate data during quiet standing (QS), this study uses machine learning to target the characterization and prediction of PD and UPDRS-III. The purpose of predicting different… more
Date: May 2021
Creator: Exley, Trevor Wayne
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
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