249 research outputs found

    Examining the Effects of a Peer-Mediated Social Skills Intervention on the Prosocial Behaviors of Elementary Students with Emotional and Behavioral Disorders

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    Students with Emotional and Behavioral Disorders represent part of the population of students who receive special education services, and the social skill deficits that they present makes it so that they are less likely to pass their classes and more likely to drop out of school than their typical peers. The social skill deficits of these students often lead to a variety of negative factors including poor relationships and academic achievement. The purpose of this study was to examine the effects of a peer-mediated social skills intervention on fourth and fifth grade students in a public-school setting. The current study explicitly taught students the target social skills of sharing, compliment giving, and sportsmanship using modeling, role-play, and discussion with feedback. Results of the study indicated participants increased target skills in intervention phases with the skill of sharing showing strong results for all three participants and sportsmanship skills showing strong results for one participant. Target skills declined somewhat in maintenance phases for all participants but remained above baseline levels. Two participants generalized the skill of sharing to the recess setting with untrained peers, while the third participant generalized sportsmanship skills to the recess setting

    The Role Of Adult Stem Cells And Tumor Necrosis Factor In Peripheral Neuropathy

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    Peripheral neuropathies are a significant cause of morbidity and mortality, with a population prevalence of 2,400 per 100,000 (2.4%) that increases in the elderly to 8,000 per 100,000 (8%)(C. N. Martyn and R. A. Hughes, 1997). The variations in symptom distribution and etiologic attribution have resulted in the classification of over 100 types of peripheral neuropathy with specific patterns of development and prognoses. In the first study, we use a mouse model of hereditary peripheral neuropathy that results in hind-limb paralysis to investigate the therapeutic efficacy of adult, adipose derived stem cells (ADSC). The paralyzed mice that received ADSC transplantation demonstrated significantly improved motor function, likely due to stromal support provided by ADSCs. The ultrastructure of the nerve was not significantly improved, indicating that the threshold of functional motor improvement can be met through alternative means. In the second study, we developed a process to identify highly-connected genes in a model of peripheral nerve development using entropy maximized network analysis of gene microarrays. We found that Tumor Necrosis Factor (TNF) mediates axonal-Schwann cell communication, and that disruption of TNF signaling results in sensory and tissue dysfunction. These findings indicate that the threshold of wild-type physiological function in peripheral nerve development can be addressed by disrupting or strengthening specific signaling processes without significant changes to tissue structure

    Implementation of an efficient Fuzzy Logic based Information Retrieval System

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    This paper exemplifies the implementation of an efficient Information Retrieval (IR) System to compute the similarity between a dataset and a query using Fuzzy Logic. TREC dataset has been used for the same purpose. The dataset is parsed to generate keywords index which is used for the similarity comparison with the user query. Each query is assigned a score value based on its fuzzy similarity with the index keywords. The relevant documents are retrieved based on the score value. The performance and accuracy of the proposed fuzzy similarity model is compared with Cosine similarity model using Precision-Recall curves. The results prove the dominance of Fuzzy Similarity based IR system.Comment: arXiv admin note: substantial text overlap with http://ntz-develop.blogspot.in/ , http://www.micsymposium.org/mics2012/submissions/mics2012_submission_8.pdf , http://www.slideshare.net/JeffreyStricklandPhD/predictive-modeling-and-analytics-selectchapters-41304405 by other author

    Investigating the Functional and Structural Neural Correlates Associated With Dance Expertise

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    We investigated the structural and functional plasticity associated with dance expertise in a cross-sectional pilot study, comparing ballet dancers to controls. Using fMRI, the whole-brain functional activation maps of dancers and controls engaged in motor imagery of dance movements were compared. Controls were found to show greater activity in numerous regions relative to dancers, including in the superior frontal gyrus, hippocampus, and cerebellum. Anatomically, dancers exhibited greater cortical thickness in areas such as the inferior occipital gyrus, inferior frontal gyrus, and superior temporal gyrus. We also found years of dance training to be correlated with cortical thickness in various regions, including positive correlations being reported in the fusiform gyrus and parahippocampal gyrus. These preliminary results suggest that dance expertise is associated with a functional reorganization that corresponds to the reduced activity reported in other motor expertise groups, as well various putative changes in structure

    Performance Evaluation in Energy consumption of Mobile Ad-Hoc Network to increase the Network Lifetime

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    MANET is self configuring network. It has many design issues like scalability, energy consumption etc.In this paper, an overview of the Distributed mutual exclusion algorithm & various enhanced variations done on distributed mutual exclusion. In DME Permission-based algorithm is used for discovering clusters of the nodes. The initial point selection effects on the results of the algorithm, in the number of clusters found and their cluster headers. Methods to enhance the Permission-based clustering algorithm are discussed. With the help of these methods increase the concurrency between the nodes, decrease the synchronization delay and decrease response time. Some enhanced variations improve the efficiency and accuracy of algorithm. Basically in all the methods the main aim is to increase the life of each node in the network or increase the battery power which will decrease the computational time. Various enhancements done on DME are collected, so by using these enhancements one can build a new hybrid algorithm which will be more efficient, accurate and less time consuming than the previous work

    COMPARATIVE ANALYSIS OF ANTIOXIDANT ACTIVITY AND PHYTOCHEMICAL CONTENTS IN ETHANOLIC LEAF EXTRACTS OF IN VITRO AND FIELD GROWN WITHANIA SOMNIFERA

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    Objective: The present study was planned to compare antioxidant activity in vitro and field grown Withania somnifera was assessed using 1, 1-diphenyl-2-picrylhydrazyl (DPPH) and nitric oxide (NO) assays. Medicinal plants are a major source of phytochemicals used for the treatments of human diseases. W. somnifera has anti-inflammatory, antioxidant, and antimicrobial properties.Methods: Antioxidant activity and phytochemical contents in W. somnifera were determined spectrophotometrically.Results: The results of antioxidant activity of field grown ethanolic leaf extract of W. somnifera showed maximum inhibition of 72.08% and 77.85%in DPPH (50 μg/ml) and NO (100 μg/ml) scavenging assays, respectively. Field grown ethanolic leaf extract of W. somnifera showed maximumconcentrations of phenolics, flavonoids, and carotenoids, as active phytochemicals, determined spectrophotometrically, which were found as676.5 μg/ml, 557.5 μg/ml, and 469 μg/ml, respectively, as compared to in vitro plant extracts.Conclusions: This study demonstrated that antioxidant activity and phytochemical contents of field grown ethanolic leaf extract of W. somnifera were found to be comparatively higher than in vitro plant extracts. Leaf extracts of W. somnifera are a potential source of antioxidants and could prevent many free radical-related diseases.Keywords: Carotenoids content, 1-diphenyl-2-picrylhydrazyl scavenging assay, Flavonoids content, Nitric oxide radical scavenging assay, Phenoliccontent
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