Disguised Face Identification (DFI) with Facial KeyPoints using Spatial Fusion Convolutional Network

Disguised face identification (DFI) is an extremely challenging problem due to the numerous variations that can be introduced using different disguises. This paper introduces a deep learning framework to first detect 14 facial key-points which are then utilized to perform disguised face identification. Since the training of deep learning architectures relies on large annotated datasets, two annotated facial key-points datasets are introduced. The effectiveness of the facial keypoint detection framework is presented for each keypoint. The superiority of the key-point detection framework is also demonstrated by a comparison with other deep networks. The effectiveness of classification performance is also demonstrated by comparison with the state-of-the-art face disguise classification methods.Comment: To Appear in the IEEE International Conference on Computer Vision Workshops (ICCVW) 201

Protein Changes in Different Tissues of Freshwater Bivalve Parreysia cylindrica after Exposed to Indoxacarb

Alteration in protein content was studied in freshwater bivalve Parreysia cylindrica exposed to acute (24 and 96 hours) and chronic (7 and 21 days) dose of indoxacarb in mantle, foot, gill, digestive gland and whole body tissue. There was significant decrease in over all protein content in mantle, foot, gills, digestive glands and whole body tissue of Parreysia cylindrica due to acute and chronic exposure to pesticide indoxacarb. The depletion was maximum in digestive glands than in mantle, gills, foot and whole body tissue. Pesticidal stress might have increased the proteolysis activities in the cells

Results on Binary Soft Topological Spaces

The concept of binary soft topological spaces defined on two universal  sets and a parameter set is investigated in this paper. We define and examine the properties of the binary soft nowhere dense, binary soft dense, binary soft Gδ-set, and binary soft first and second category  sets. Also, we introduced binary soft baire spaces and studied their characterizations

FORMULATION, OPTIMIZATION AND EVALUATION OF FLOATING TABLETS CLARITHROMYCIN

Objective: The present aim of this study was to formulate, optimize and evaluation of floating tablets of Clarithromycin.Methods: Floating tablets of Clarithromycin were formulated using polymer HPMC K15M with sodium bicarbonate as gas generating agent by wet granulation method. A 32 factorial design were applied to systematically optimize the drug release profile. The amount of citric acid (X1) and concentration of polymer HPMC K15M (X2) was selected as independent variables. The drug release at 6 hours (Q6) and drug release at 12 hour (Q12), and diffusion exponent (n) was selected as dependent variables.Results: The results of factorial design indicated that low level of HPMC K15M favors the preparation of floating controlled release of Clarithromycin tablets. The tablets were evaluated for thickness, hardness, weight variation, floating lag time, total floating time, swelling index, drug content uniformity and in vitro drug release in 0.1N HCL (pH 1.2). The in vitro dissolution profiles of all the prepared Clarithromycin floating drug delivery system formulations was found to extend the drug release over a period of 10 to 12 hours and the drug release rate decreased with increase in polymer concentration.Conclusion: It can be concluded that the decreased in citric acid concentration in the formulation showed decreased in drug release, this is due to citric acid reaction with sodium bicarbonate resulting generation of carbon dioxide gas at a faster rate, increased rate of drug release. Increasing the concentration of HPMC K15M resulted in reduction of drug release

A case of Lowe syndrome (oculocerebrorenal syndrome): Clinical implications and anaesthetic management

No Abstrac

CM defect and Hilbert functions of monomial curves

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