493 research outputs found

    Efficient Mapping of Large-scale Data under Heterogeneous Big Data Computing Systems

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    Hadoop biological systems become progressively significant for professionals of huge scale information examination, they likewise acquire huge energy cost. This pattern is dynamic up the requirement for planning energy-effective Hadoop clusters so as to lessen the operational costs and the carbon emanation related with its energy utilization. Be that as it may, in spite of broad investigations of the issue, existing methodologies for energy proficiency have not completely measured the heterogeneity of both workloads. So that here enhancing the model by find that heterogeneity-unaware task task methodologies are hindering to both execution and energy effectiveness of Hadoop clusters. Our perception demonstrates that even heterogeneity-mindful methods that intend to decrease the job fulfillment time don't ensure a decrease in energy utilization of heterogeneous machines. We propose E-Ant which plans to get better the general energy utilization in a heterogeneous Hadoop group without giving up job execution. It adaptively plans heterogeneous workloads on energy-effective machines. E-Ant utilizes a subterranean insect state improvement approach that creates task assignment arrangements dependent on the input of each jobs energy utilization by Tasktrackers and also we incorporate DVFS method with E-Ant to further improve the energy proficiency

    Effect of Packaging Materials on Retention of Quality Characteristics of Dehydrated Green Leafy Vegetables during Storage

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    The objective of this study was to investigate the influence of blanching, dehydration and packaging on nutrient composition of Amaranthus gangeticus and Spinach oleracea. There was a loss of sugars, Proteins, vitamin- c and carotenoids were noticed due to blanching. But the colour of green leafy vegetables (GLV) is retained due to blanching. Leafy vegetables were dehydrated in cabinet dryer at 60oC and packed in three packaging materials (Metalized polypropylene (MPP) 300 gauge, high density polyethylene (HDPE) 300 gauge, low density polyethylene (LDPE) 200 gauge) and stored at room temperature for 45 days to evaluate the best package for maximum retention of nutrients in leafy vegetables during storage. PP followed by HDPE was found to be good for retention of nutrients in dehydrated leafy vegetables during 45 days of storage. Irrespective of the losses of nutrients that take place during dehydrated packaging, GLV can be preserved by dehydration which is eco-friendly and easily adoptable

    PURIFICATION AND MOLECULAR WEIGHT DETERMINATION OF KERATINASE ISOLATED FROM STREPTOMYCES MALAYSIENSIS

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    Objective: The aim of the present study was to purify and determine the molecular weight of keratinase isolated from Streptomyces malaysiensis.Methods: For that purpose purification was done using ammonium sulphate and Sephadex-LH 100 column chromatography. Further, the fractions were pooled and subjected to molecular weight determination using sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE).Results: The obtained results showed keratinase with 47.57% recovery, 3.5-fold purification and an estimated molecular mass of 27,000 Da. Keratinase showed an optimal activity at 60 οC and pH 8. Keratinase activity of the purified product was assayed with feather powder as a substrate. The isolated strain was identified as Streptomyces malaysiensis based on phylogenetic tree analysis. The strain isolated from termite mound soil showed the highest keratinase activity, which could be considered a microorganism of environmental origin.Conclusion: The production of keratinase on simple media with feathers as sole source allowing its production from the cheap substrate and a commercial production with low production cost. Stability in the presence of detergents, surfactants and solvents make this keratinase extremely useful for a biotechnological process involving keratin

    A STUDY OF METHOD DEVELOPMENT, VALIDATION AND FORCED DEGRADATION FOR SIMULTANEOUS QUANTIFICATION OF CABOZANTINIB AND NIVOLUMAB IN BULK AND PHARMACEUTICAL DOSAGE FORM BY RP-HPLC

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    Objective: The present paper describes a simple, accurate, and precise reversed-phase high-performance liquid chromatography (HPLC) method for rapid and simultaneous quantification of cabozantinib (CZT) and nivolumab (NVM) in bulk and pharmaceutical dosage form. Methods: The chromatographic separation was achieved on Luna C18 (150 mm×4.6 mm, 3.5 μm). Mobile phase contained a mixture of 0.1% orthophosphoric acid and acetonitrile in the ratio of 50:50 v/v, flow rate 1.0 ml/min, and ultraviolet detection at 222 nm. Results: The proposed method shows a good linearity in the concentration range of 20–300 μg/ml for CZT and 5–75 μg/ml for NVM under optimized conditions. Precision and recovery study results are in between 98 and 102%. In the entire robustness conditions, percentage relative standard deviation is <2.0%. Degradation has minimum effect in stress condition and solutions are stable up to 24 h. Conclusion: This method is validated for different parameters such as precision, linearity, accuracy, limit of detection (LOD), limit of quantification (LOQ), ruggedness, robustness, and forced degradation study were determined according to the International Conference of Harmonization (ICH) Q2B guidelines. All the parameters of validation were found to be within the acceptance range of ICH guidelines. Since there is no HPLC method reported in the literature for the estimation of CZT and NVM in pharmaceutical dosage forms, there is a need to develop quantitative methods under different conditions to achieve improvement in sensitivity, selectivity, etc. The author declares the interest to develop a validation and forced degradation for simultaneous quantification of CZT and NVM

    Sharp photoluminescence of Pr3+ ions in yttrium oxyfluoride nanospheres: thermographic phosphor characteristics using the fluorescence intensity ratio technique

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    YOF:Pr nanoparticles prepared by Pechni sol-gel method were investigated for temperature sensing in this work. Structural investigation such as XRD, Raman, SEM and EDS were done. Photoluminescence experiments at ambient temperature for three different concentrations and with variation in temperature were performed for application in fluorescence intensity ratio (FIR) technique. The FIR of the thermally coupled levels (TCL) 3P0 and 3P1 was determined with respect to temperature and found that the relative sensitivity of the material is 9.37 and 0.87% K−1 at 90 and 300 K, respectively. Results proved that Pr3+ in YOF nanoparticles can be used for non-contact temperature determination.publishe

    Performance Assessment and Mathematical Modeling of Process Parameters in Electrical Discharge Machining of EN-31 Tool Steel Material Using Taguchi DOE

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    In non-traditional machining, electrical discharge machining (EDM) has tremendous potential on account of versatility of its applications and is successfully, commercially used in modern industries. EDM process is capable to machine geometrically complex, hard material components, tool steels, composites, super alloys, ceramics and carbides. In EDM, Material Removal Rate (MRR) and Tool wear rate (TWR) are generally analyzed to assess its performance. For this, a perfect combination of input variables is required. In the present study, machining is done on Tool steel workpiece material using a pure copper electrode. The input parameters like Pulse-ON time, Pulse- OFF time, Current and Gap voltage are selected for experimentation and Taguchi method is employed for the DOE by considering 4 factors and 3 levels. A total of 27 experiments (L27 orthogonal array) have been designed with a possible combination of selected input parameters. The present work mainly focuses on development of an extensive mathematical model for correlating the input and output variables using a conventional regression analysis. The adequacy of proposed model was tested with the help of some collected data through experimentation using taguchi optimized DOE. The proposed linear multi-variable regression equation was found to be a best fitted model with 98% confidence levels.In non-traditional machining, electrical discharge machining (EDM) has tremendous potential on account of versatility of its applications and is successfully, commercially used in modern industries. EDM process is capable to machine geometrically complex, hard material components, tool steels, composites, super alloys, ceramics and carbides. In EDM, Material Removal Rate (MRR) and Tool wear rate (TWR) are generally analyzed to assess its performance. For this, a perfect combination of input variables is required. In the present study, machining is done on Tool steel workpiece material using a pure copper electrode. The input parameters like Pulse-ON time, Pulse- OFF time, Current and Gap voltage are selected for experimentation and Taguchi method is employed for the DOE by considering 4 factors and 3 levels. A total of 27 experiments (L27 orthogonal array) have been designed with a possible combination of selected input parameters. The present work mainly focuses on development of an extensive mathematical model for correlating the input and output variables using a conventional regression analysis. The adequacy of proposed model was tested with the help of some collected data through experimentation using taguchi optimized DOE. The proposed linear multi-variable regression equation was found to be a best fitted model with 98% confidence levels

    Behavior Change without Behavior Change Communication: Nudging Handwashing among Primary School Students in Bangladesh.

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    Behavior change communication for improving handwashing with soap can be labor and resource intensive, yet quality results are difficult to achieve. Nudges are environmental cues engaging unconscious decision-making processes to prompt behavior change. In this proof-of-concept study, we developed an inexpensive set of nudges to encourage handwashing with soap after toilet use in two primary schools in rural Bangladesh. We completed direct observation of behaviors at baseline, after providing traditional handwashing infrastructure, and at multiple time periods following targeted handwashing nudges (1 day, 2 weeks, and 6 weeks). No additional handwashing education or motivational messages were completed. Handwashing with soap among school children was low at baseline (4%), increasing to 68% the day after nudges were completed and 74% at both 2 weeks and 6 weeks post intervention. Results indicate that nudge-based interventions have the potential to improve handwashing with soap among school-aged children in Bangladesh and specific areas of further inquiry are discussed

    PRELIMINARY PHYTOCHEMICAL, PHARMACOGNOSTIC AND PHYSICOCHEMICAL EVALUATION OF ERANTHEMUM NIGRUM LEAF

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    Objective: To analyze the pharmacognostic characteristics and physiochemical parameters of the leaves of Eranthemum nigrum (E. nigrum). Methods: Microscopic characters and powder analysis had been carried out with the help of a microscope. The physiochemical properties such as loss on drying, total ash value, acid insoluble ash value, water soluble ash value, extractive values and fluorescence of E. nigrum had been performed. Results: Macroscopically, the leaves are simple, elliptical in shape, dull with smooth margins and acute apex. Microscopically, the leaf showed the presence of epidermal cells with uniseriate multicellular covering trichomes and diacytic stomata, followed by 4-6 layered collenchymatous cells and 10-14 numbered conjoint, collateral closed vascular bundles are some of the diagnostic characteristics observed from an anatomical study. Powder microscopy of leaf revealed the presence of uniseriate multicellular covering trichomes, lignified xylem vessels, epidermis with diacytic stomata and parenchyma cells. The investigations also included leaf surface data i.e., quantitative leaf microscopy and fluorescence analysis. Physiochemical parameters such as loss on drying, extractive values and ash values were also determined. Preliminary phytochemical screening showed the presence of steroids, alkaloids, tannins, saponins, carbohydrates, glycosides, amino acids and proteins. Conclusion: The morphological, microscopical and physicochemical parameter results provided in this paper may be utilized as a basis for the preparation of a monograph on E. nigrum leaves

    SEGMENTATION OF HUMAN BODIES BASED ON ZERO SALIENCY DETECTION

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    The paper presents the segmentation of human bodies based on zero saliency detection.  The zero salience detection is used to identify the informative of the image.  The proposed method is to extract the salient objects and background regions of the image. In the past decade, we apply labeling to the image, to get the background cues as a background region and foreground as a salience objects.  But labeling method is not efficient to get results accurately. The salience detection method follows two steps to extract the background and foreground regions accurately. The experimental results show that the salience detection method performs well compare to existing methods in terms of accuracy, speed and object detection

    Studies on Gene Expression and Developmental Competence of Bovine Embryos Produced Under Different Conditions of Heat Stress

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    Gene expression is required in all steps of embryonic development and therefore heat stress is known to reduce developmental competence after direct exposure of oocytes and embryos to different conditions of heat shock, by decreasing protein synthesis. Moreover, as in somatic cells, the heat stress befuddles the integration of RNA and posttranscriptional modification of RNA, the assumption was that during meiotic maturation heat shock may mutate RNA within oocytes, with the possibility of altering the surrounding cumulus cells, causing, thus, reductions in development. Heat shock proteins (HSP) are among the first proteins produced during embryonic development and are crucial to cell function. The HSP70 (HSPA14 gene) is an important part of the cell’s machinery for folding, unfolding, transport, localization of proteins and differentiation, regulation of the embryonic cell cycle and helping to protect cells from stress. Therefore, HSPA14 is an apoptotic gene induced by heat shock is associated with embryonic loss, playing an important role of control mechanism of processes involved in growth, cellular differentiation, and embryonic development. In addition the connexin proteins (e.g. Cx43), related to gap junctions, are expressed in numerous tissues including gonads, act as a mediator of heat stress effect on cells. In the present review, the effect of heat stress on bovine embryonic development in a physiologic and genetic point of view is fully discussed
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