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

Risk Management and Mitigation for Building Construction Project in Sangli District

Risk analysis as the title suggests this is related to the construction management. Risk analysing technique is used for the purpose of risk management. Which type of risk is occurring and how it is analysed what are various mitigatory methods available. Risk management involves assessing the risk sources and designing strategies and procedures to mitigate those risks to an acceptable level. Measurement of risk factors plays an important role in the assessment of risk. This research proposes to develop risk assessment frameworks and mathematical model to identify the risk factors. Quantification and prioritization of risk factors will help to design controls, resource allocation policies and minimize the total cost. The proposed model can be applied to a complex system that is representative of actual business situations

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

Endophytic Mycoflora of Indian Medicinal Plant, Terminalia arjuna and their Biological Activities

Studies were undertaken to isolate, identify and evaluate the biological activities of endophytic mycoflora of Indian medicinal plant, Terminalia arjuna. A total of 20 isolates of endophytic fungi were obtained from the leaves, twigs and bark tissues of the Terminalia arjuna. Out of 20, six isolates exhibited promising antibacterial, antifungal and anti-inflammatory activities when cultivated at shake flask level. The selected isolates were identified on the basis of morphology and ITS gene sequencing. Three isolates, designated as TA BA 1, TA L1 and TA L2 were identified as Aspergillus flavus whereas; the remaining three endophytic fungi were identified as Diaporthe arengae (TA TW2), Alternaria Sp. (TA TW1) and Lasiodiplodia theobromae (TA BA2). Aspergillus flavus was found as the predominant endophyte in leaves and bark tissues of the plant. The crude extract of the test isolates showed considerable antimicrobial activity against common human bacterial (Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa, Proteus vulgaris, Salmonella abony and Bacillus subtilis) and fungal (Candida albicans, Aspergillus niger and Penicilium sp.) pathogens. The extract of Diaporthe arengae (TA TW2) significantly reduced the concentration of DPPH free radical as percent DPPH scavenging activity was found to be highest (69.56%) in comparison with other isolates. The % inhibition of hemolysis of RBCs was found to be highest (82.85%) with Diaporthe arengae (TA TW2) in comparison (83.26%) with standard drug (Ibuprofen). Among all, the extract of the Diaporthe arengae (TA TW2) showed excellent biological activities and hence was subjected to further characterization. The phytochemical investigation of the extract revealed the presence of terpenoids as the major phytoconstituents which was supported by TLC and UV spectroscopic studies. The results indicate that the isolated endophytes could be the valuable source of these bioactive molecules with diverse biological activities. The bioactivities may be attributed to the terpenoids present in the endophytic extract

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