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85 articles for “Clinical Experiment”
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InvestigationOpen accessIn the abstractDiabetes Group Visit in a Primary Care SettingSelma Mujezinovic RochesterThe group visits models one innovation in the field of chronic illness management that shows promise in meeting the growing demands for this type of care. Patients get significant peer and healthcare provider support during group visits. Group visits typically last 90 min and occur on a regularly scheduled basis. The study design was a quasi-experimental pre-post-test with a comparison … …International Journal of Research in Nursing, Vol. 7, Issue 2 · 30 Jun 2017 · 7,235 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Ceramo-Polymeric Nanocomposite for Biomimetic Scaffolds Design and PreparationRaffaella Aversa, Relly Victoria V. Petrescu, Roberto Sorrentino et al.Biomimetics, biomechanics and tissue engineering are three multidisciplinary fields that have been contemplated in this research to attain the objective of improving prosthetic implants reliability. Since testing and mathematical methods are closely interlaced, a promising approach seemed to be the combination of in vitro and in vivo experiments with computer simulations (in silico). An innovative biomimetics and biomechanics approach and … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 30 Nov 2016 · 8,276 accessesView PDFCite
Research ArticleOpen accessIn the abstractTechnical Support of Preclinical Hydrodynamic and Functional Tests of New Medical Mechatronic Peristaltic Blood Pumps Developed by Central Research Institute of Robotics and CyberneticsAleksandr Vitaljevich Lopota, Nikolai Anatoljevich Gryaznov, Olga Valerjevna Velichko et al.The article considers the results of scientific research works on creation of hydrodynamic and functional experimental benches for pre-clinical physiological tests of new mechatronic peristaltic blood pumps. The conclusion states the need in carrying out such tests before the start of biological experiments involving animals. An example of the device developed at Central Research Institute of Robotics and Cybernetics-a centrifugal … …American Journal of Applied Sciences, Vol. 13, Issue 2 · 11 Feb 2016 · 7,253 accessesView PDFCite
Literature ReviewOpen accessIn the abstractThe Effects of Glucocorticoids on Trabecular Meshwork and its Role in GlaucomaAlina GenisPrimary Open-Angle Glaucoma (POAG), an optic neuropathy that is a leading cause of irreversible blindness, has been studied extensively in hopes of better understanding its underlying mechanism. Glucocorticoids (GC) are commonly used to treat inflammatory ocular conditions but are also known to increase the risk of glaucoma by raising Intraocular Pressure (IOP) in susceptible individuals, leading to steroid-induced glaucoma. Based … …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 4 · 14 Oct 2015 · 8,224 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVEL APPROACH TO DETECT FISSURES IN LUNG CT IMAGES USING MARKER-BASED WATERSHED TRANSFORMATIONK. Devaki, V. Murali BhaskaranDetection and segmentation of fissures is useful in the clinical interpretation of CT lung images to diagnose the presence of pathologies in the human lungs. A new automated method based on marker-based watershed transformation has been proposed to segment the fissures considering its unique structure as a long connected component. Marker based watershed transformation is applied and morphological operations are … …Journal of Computer Science, Vol. 10, Issue 6 · 25 Jan 2014 · 6,430 accessesView PDFCite
Research ArticleOpen accessIn the abstractContent Based Medical Image Retrieval using Binary Association RulesAkila, Uma MaheswariIn this study, we propose a content-based medical image retrieval framework based on binary association rules to augment the results of medical image diagnosis, for supporting clinical decision making. Specifically, this work is employed on scanned Magnetic Resonance brain Images (MRI) and the proposed Content Based Image Retrieval (CBIR) process is for enhancing relevancy rate of retrieved images. The pertinent … …Journal of Computer Science, Vol. 9, Issue 6 · 30 May 2013 · 6,551 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Acute Toxicity and Neuropharmacological Activities of PM-52Wipawee Thukhum-Mee, Jintanaporn Wattanathorn, Supaporn MuchimapuraThe neuropsychological disorders are increasing their importance nowadays. Unfortunately, the therapeutic efficacy is still not in satisfaction level. Therefore, the novel agents that are effective, safe, cheap and easy to approach are in required. Therefore, we aimed to determine the neuropharmacological activities of PM52, the novel herbal supplement. We had developed the PM52, a novel product comprising of Cissampelas pariera … …American Journal of Agricultural and Biological Sciences, Vol. 8, Issue 2 · 27 May 2013 · 7,354 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Evaluation of Adaptive Filter and Neuro-Fuzzy Filter in Artifacts Removal From Electroencephalogram SignalPaulchamy Balaiah, IlavennilaProblem statement: This study presents an effective method for removing mixed artifacts (EOG-Electro-ocular gram, ECG-Electrocardiogram, EMG-Electromyogram) from the EEG-Electroencephalogram records. The noise sources increases the difficulty in analyzing the EEG and obtaining clinical information. EEG signals are multidimensional, non-stationary (i.e., statistical properties are not invariant in time), time domain biological signals, which are not reproducible. It is supposed to contain … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 15 Aug 2012 · 7,090 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Extraction and Classification of Blood Cells Using Artificial Neural NetworkMagudeeswaran Veluchamy, Karthikeyan Perumal, Thirumurugan PonuchamyProblem statement: One method of evaluating the clinical status is counting of cell types based on features that it contains. There is a need for a rapid, reproducible method, superior to human inspection and for the classification of cells. For solving these problems, quantitative digital-image analysis is applied and a novel method for classifications of affected blood cells from normal … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 18 Feb 2012 · 8,159 accessesView PDFCite
Research ArticleOpen accessIn the abstractDermoscopic Image Segmentation using Machine Learning AlgorithmL. Padma Suresh, K.L. Shunmuganathan, S.H. Krishna VeniProblem statement: Malignant melanoma is the most frequent type of skin cancer. Its incidence has been rapidly increasing over the last few decades. Medical image segmentation is the most essential and crucial process in order to facilitate the characterization and visualization of the structure of interest in medical images. Approach: This study explains the task of segmenting skin lesions in … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 7 Oct 2011 · 7,346 accessesView PDFCite