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Articles 301 - 313 of 313
Full-Text Articles in Medicine and Health Sciences
Disaster Preparedness And Response: A Survey Of U.S. Dental Hygienists, Brenda T. Bradshaw, Ann P. Bruhn, Tara L. Newcomb, Bridget T. Giles, Kathryn Simms
Disaster Preparedness And Response: A Survey Of U.S. Dental Hygienists, Brenda T. Bradshaw, Ann P. Bruhn, Tara L. Newcomb, Bridget T. Giles, Kathryn Simms
Dental Hygiene Faculty Publications
Purpose: The purpose of this study was to assess dental hygienists’ interests, current involvement, formal education, views, comfort levels, and intentions for involvement with disaster preparedness and response.
Methods: Dental hygienists (n=400) were asked to respond to a 21-item online survey. Data was analyzed using descriptive statistics, chi-square goodness-of-fit tests, and a paired-samples t-test. Common themes were identified and categorized from open-ended questions.
Results: A response rate of 84% (n=334) was obtained. Most respondents (97%) reported no involvement with disaster preparedness and response; however, a majority (86%) reported interest. Of those who indicated an interest in disaster preparedness and response, …
Toward Magnetic Resonance Only Treatment Planning: Distortion Mitigation And Image-Guided Radiation Therapy Validation, Ryan Glen Price
Toward Magnetic Resonance Only Treatment Planning: Distortion Mitigation And Image-Guided Radiation Therapy Validation, Ryan Glen Price
Wayne State University Dissertations
While MR-only treatment planning has shown promise, there are still several well-known challenges that are currently limiting widespread clinical implementation.
Firstly, MR images are affected by both patient-induced and system-level geometric distortions that can significantly degrade treatment planning accuracy. . In addition, the availability of comprehensive distortion analysis software is currently limited. Also while many groups have been working toward a synthetic CT solution, further study is needed on the implementation of synCTs as the reference datasets for linac-based image-guided radiation therapy (IGRT) to help determine their robustness in an MR-only workflow.
A 36×43×2 cm3 phantom with 255 known landmarks …
A New Technique To Improve The Operation Of Prosthetic Limbs During Muscle Fatigue, H. Albunashee, G. Rasool, K. Iqbal, G. White
A New Technique To Improve The Operation Of Prosthetic Limbs During Muscle Fatigue, H. Albunashee, G. Rasool, K. Iqbal, G. White
Journal of the Arkansas Academy of Science
Prosthetic limbs hold a promise to renew the quality of life for the amputee. Neural commands are decoded via a classifier to generate control signals for the prosthetic devices. In the literature, many challenges and limitations have been identified that affect the prosthesis operation. One such drawback is muscle fatigue which degrades the surface electromyogram (sEMG) signals, and consequently, the performance of the deployed classification algorithm declines from 90% to 50% of average accuracy. We used a new technique using the Linear Discrimination Analysis (LDA) algorithm and the muscle synergy-based task discrimination (MSD) algorithm to improve the classification accuracy. In …
An Evaluation Of Robotics In Nursing Homes To Reduce Adverse Drug Events, Ozell Ueal Jr.
An Evaluation Of Robotics In Nursing Homes To Reduce Adverse Drug Events, Ozell Ueal Jr.
Walden Dissertations and Doctoral Studies
Adverse drug events (ADE) cause many deaths annually in addition to affecting the quality of life of many others. The descriptive mixed methods approach, specifically exploratory case study and experimental design that guided this research utilized the survey and focus group methods to evaluate perceptions about robotic technology (RT) to reduce the rate of ADEs in U.S. nursing homes (NH). There is a lack of scholarly research into whether a conceptual approach rooted in RT can be implemented to assist with drug administrations in NHs. The purpose of this study was twofold. The first purpose was to evaluate the causes …
Journal Of The Arkansas Academy Of Science - Volume 70 2016, Academy Editors
Journal Of The Arkansas Academy Of Science - Volume 70 2016, Academy Editors
Journal of the Arkansas Academy of Science
No abstract provided.
Impact Of Acl Injury On Patellar Cartilage Thickness, Ethan Leveillee
Impact Of Acl Injury On Patellar Cartilage Thickness, Ethan Leveillee
Graduate College Dissertations and Theses
ACL injury has been shown to have long-lasting and severe consequences on the different structures of the knee such as the articular cartilage and meniscus. Cartilage thickness changes in particular are indicative of osteoarthritic changes in the tibiofemoral joint. While there has been significant research focused on cartilage changes of the tibia and femur, there has been little work looking at patellar cartilage. The following goals were set forth for this study. First, to establish a robust coordinate system to accurately determine the location and orientation of the patella. Secondly, to determine the effects of ACL injury on patellar cartilage …
Generating Optimal Control Simulations Of Musculoskeletal Movement Using Opensim And Matlab, Leng-Feng Lee, Brian R. Umberger
Generating Optimal Control Simulations Of Musculoskeletal Movement Using Opensim And Matlab, Leng-Feng Lee, Brian R. Umberger
Kinesiology Department Faculty Publication Series
Computer modeling, simulation and optimization are powerful tools that have seen increased use in biomechanics research. Dynamic optimizations can be categorized as either data-tracking or predictive problems. The data-tracking approach has been used extensively to address human movement problems of clinical relevance. The predictive approach also holds great promise, but has seen limited use in clinical applications. Enhanced software tools would facilitate the application of predictive musculoskeletal simulations to clinically-relevant research. The open-source software OpenSim provides tools for generating tracking simulations but not predictive simulations. However, OpenSim includes an extensive application programming interface that permits extending its capabilities with scripting …
Detecting, Segmenting And Tracking Bio-Medical Objects, Mingzhong Li
Detecting, Segmenting And Tracking Bio-Medical Objects, Mingzhong Li
Doctoral Dissertations
"Studying the behavior patterns of biomedical objects helps scientists understand the underlying mechanisms. With computer vision techniques, automated monitoring can be implemented for efficient and effective analysis in biomedical studies. Promising applications have been carried out in various research topics, including insect group monitoring, malignant cell detection and segmentation, human organ segmentation and nano-particle tracking.
In general, applications of computer vision techniques in monitoring biomedical objects include the following stages: detection, segmentation and tracking. Challenges in each stage will potentially lead to unsatisfactory results of automated monitoring. These challenges include different foreground-background contrast, fast motion blur, clutter, object overlap and …
Investigation Of Enzymatically Synthesized Glycogen As A Novel Nanodendrimer For Therapeutic Delivery, Sarah Ann Engelberth
Investigation Of Enzymatically Synthesized Glycogen As A Novel Nanodendrimer For Therapeutic Delivery, Sarah Ann Engelberth
Legacy Theses & Dissertations (2009 - 2024)
The field of medicinal chemistry is ever expanding, designing and discovering new therapeutic strategies. Oftentimes, it is challenging for these therapeutics to undergo clinical translation due to ineffective administration or unwanted toxicity in vivo. As such, drug delivery vehicles are designed to overcome these hurdles, allowing for delivery to the site of action by improving biodistribution, protecting therapeutic cargo, and decreasing toxicity. The work presented here aims to investigate a naturally-derived carbohydrate nanodendrimer, enzymatically synthesized glycogen (ESG) for drug delivery. This nontoxic, highly-branched, glucose-based structure has interior void volumes to allow for cargo encapsulation as well as a large density …
Anticancer, Biophysical And Computational Investigations Of Half-Sandwich Ruthenium(Ii) Thiosemicarbazone Complexes: The Effect Of Arene Versus Thiacrown Face-Cap, Floyd A. Beckford, Alyssa Stott, P. Canisius Mbarushimana, Marc-Andre Leblanc, Kinsey Hall, Samantha Smith, Jimmie L. Bullock, Dennis J. Houghton, Alvin A. Holder, Nikolay Gerasimchuk, Antonio Gonzalez-Sarrías
Anticancer, Biophysical And Computational Investigations Of Half-Sandwich Ruthenium(Ii) Thiosemicarbazone Complexes: The Effect Of Arene Versus Thiacrown Face-Cap, Floyd A. Beckford, Alyssa Stott, P. Canisius Mbarushimana, Marc-Andre Leblanc, Kinsey Hall, Samantha Smith, Jimmie L. Bullock, Dennis J. Houghton, Alvin A. Holder, Nikolay Gerasimchuk, Antonio Gonzalez-Sarrías
Chemistry & Biochemistry Faculty Publications
A series of half-sandwich ruthenium complexes, two containing an arene face-cap and the other a thiacrown ether face-cap were synthesized to investigate the necessity of the arene for anticancer activity in this class of compounds. The complexes are formulated as [(h6-p-cymene)Ru(dmabTSC)Cl]PF6, [(h6-benzene)Ru(dmabTSC)Cl]PF6 (arene complexes), and [([9]aneS3(dmabTSC)Cl]PF6 (dmabTSC = dimethylaminobenzaldehye thiosemicarbazone). It was observed that none of the complexes showed good anticancer activity in vitro against HCT-116 and Caco-2 (colon adenocarcinoma) cells. All three complexes can bind strongly to calf-thymus DNA with binding constants on the order of 10 …
Pro-Fit: Exercise With Friends, Saumil Dharia, Vijesh Jain, Jvalant Patel, Jainikkumar Vora, Rizen Yamauchi, Magdalini Eirinaki, Iraklis Varlamis
Pro-Fit: Exercise With Friends, Saumil Dharia, Vijesh Jain, Jvalant Patel, Jainikkumar Vora, Rizen Yamauchi, Magdalini Eirinaki, Iraklis Varlamis
Faculty Publications
The advancements in wearable technology, where embedded accelerometers, gyroscopes and other sensors enable the users to actively monitor their activity have made it easier for individuals to pursue a healthy lifestyle. However, most of the existing applications expect continuous commitment from the end users, who need to proactively interact with the application in order to connect with friends and attain their goals. These applications fail to engage and motivate users who have busy schedules, or are not as committed and self-motivated. In this work, we present PRO-Fit, a personalized fitness assistant application that employs machine learning and recommendation algorithms in …
Synthesis Of Radioactive Nanostructures In A Research Nuclear Reactor, Maria Camila Garcia Toro
Synthesis Of Radioactive Nanostructures In A Research Nuclear Reactor, Maria Camila Garcia Toro
Masters Theses
In this work, the synthesis of radioactive nanostructures by water radiolysis was studied. The irradiation processes were done in the Missouri University of Science and Technology research nuclear reactor (MSTR).
Radioactive gold nanoparticles (AuNPs) were synthesized from aqueous solutions containing the metal salt precursors by radiolysis of water. Seven different samples were irradiated at 200kW of thermal power for 0.5, 1, 3, 5, 10, 30, and 60 minutes. The average sizes of the obtained nanoparticles ranged from 3 nm to 400 nm, it was found that the particle size decreased with the irradiation time. Some agglomerations of particles were found …
Development And Application Of Gadolinium Free Cardiac Magnetic Resonance Fibrosis Imaging For Multiscale Study Of Heart Failure In Patients With End Stage Renal Disease, Tori A. Stromp
Theses and Dissertations--Physiology
Cardiac magnetic resonance (CMR) is a powerful tool to noninvasively image ventricular fibrosis. Late gadolinium enhancement (LGE) CMR identifies focal and, with T1 mapping, diffuse fibrosis. Despite prevalent cardiac fibrosis and heart failure, patients with end stage renal disease (ESRD) are excluded from LGE. Absence of a suitable diagnostic has limited the understanding of heart failure and obstructed development of therapies in the setting of ESRD. A quantitative, gadolinium free fibrosis detection method could overcome this critical barrier, propelling the advancement of diagnostic, monitoring, and therapy options. This project describes the development of a gadolinium free CMR technique and application …