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Articles 1 - 5 of 5
Full-Text Articles in Medicine and Health Sciences
Minimizing Musculoskeletal Injury Risk In Health Care Professionals With Education On Safe Patient Handling, Aubrey Graves
Minimizing Musculoskeletal Injury Risk In Health Care Professionals With Education On Safe Patient Handling, Aubrey Graves
Honors College Theses
Introduction: Nursing is a high-risk occupation for musculoskeletal injuries due to the strenuous activity of patient handling. These tasks include, assisting a patient in bed, moving a patient from the bed to a wheelchair, and assisting with walking. These work-related tasks can create a large amount of stress on the body, especially the back if proper technique is not utilized and/or if excessive loads are applied. The purpose of this study is to examine if teaching proper body mechanics and the dangers of not performing the tasks properly is an effective way of reducing musculoskeletal injuries.
Methods: The NUR 202 …
Abhd5 Induced Morphological Changes On Model Membrane Systems, Nasser S. Junedi
Abhd5 Induced Morphological Changes On Model Membrane Systems, Nasser S. Junedi
Honors College Theses
Proper regulation of neutral lipid storage (lipogenesis) and release (lipolysis) are critical molecular processes localized to an organelle called the Lipid Droplet (LD). The LD consists of a core with neutral lipids such as triacylglycerols (TAGs) and sterol esters surrounded by a phospholipid monolayer. Dysregulation of the processes localized to the LD are involved in the pathology of various diseases such as Neutral Lipid Storage Disease, diabetes, stroke and cancer. The non-enzymatic protein ABHD5 (α-β Hydrolase Domain-Containing Protein 5), is thought to play a key role in the process of lipolysis by forming homo-oligomers on the surface of the LD …
S.O.S. For Covid-19 (Subjective And Objective Screening): Are Asymptomatic Cases Truly Without Warning Signs?, Nathan Hughes
S.O.S. For Covid-19 (Subjective And Objective Screening): Are Asymptomatic Cases Truly Without Warning Signs?, Nathan Hughes
Honors College Theses
This study investigates the usefulness of five objective signs, evaluates relationships between objective signs with symptoms of COVID-19, and assesses the accuracy of ambient forehead temperature with tympanic temperature. Data were collected at Wayne State University. Blood oxygen levels and blood pressure were measured via pulse oximeters and blood pressure cuff. Body temperature was measured with a thermometer via the temple and the forehead. Smell was tested with two scented markers. None of the 29 participants confirmed a positive COVID-19 test. Therefore, only relationships between vital sign measurements were reported. No significant correlations were revealed upon analysis. Infrared and temporal …
Examining The Mechanistic Roles Of Integrin Alpha-6 In Cancer Metastasis., Chase T. Clark
Examining The Mechanistic Roles Of Integrin Alpha-6 In Cancer Metastasis., Chase T. Clark
Honors College Theses
Metastasis- the spread of cancer cells from the primary tumor to the surrounding tissues- is responsible for 90% of cancer deaths. Integrin alpha-6 (ITGA6) is a specific transmembrane cell surface protein that functions in cell surface adhesion and signaling. ITGA6 is upregulated in many types of cancers and promotes the migration and invasion of cancer cells to surrounding tissues. It is my objective to determine the mechanism through which ITGA6 facilitates the migration of cancer cells through the extracellular matrix (ECM). These experiments helped to establish the role of ITGA6 in tumor development and provide focus for possible chemotherapeutic treatment. …
Pneumonia Radiograph Diagnosis Utilizing Deep Learning Network, Wesley O'Quinn
Pneumonia Radiograph Diagnosis Utilizing Deep Learning Network, Wesley O'Quinn
Honors College Theses
Pneumonia is a life-threatening respiratory disease caused by bacterial infection. The goal of this study is to develop an algorithm using Convolutional Neural Networks (CNNs) to detect visual signals for pneumonia in medical images and make a diagnosis. Although Pneumonia is prevalent, detection and diagnosis are challenging. The deep learning network AlexNet was utilized through transfer learning. A dataset consisting of 11,318 images was used for training, and a preliminary diagnosis accuracy of 72% was achieved.