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

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

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

Mycophenolic acid: a drug with a potential beyond renal transplantation

Mycophenolic acid is an anti-metabolite immunosuppressant. It inhibits the enzyme inosine monophosphate dehydrogenase, which is essential for purine synthesis. It is indicated in prevention of rejection after renal transplantation. It is one of the few drugs, which were discovered more than a century ago and still in active use. This review discusses the other current and potential uses of the drug

REVERSED PHASE-HIGH PERFORMANCE LIQUID CHROMATOGRAPHY METHOD DEVELOPMENT AND VALIDATION OF ATORVASTATIN IN BULK DRUG AND FORMULATION

Objective: To develop and validate a simple, selective, rapid, precise, and accurate high performance liquid chromatographic (HPLC) method fordetermination of atorvastatin in bulk and its pharmaceutical formulation product.Method: Reversed phase-HPLC (RP-HPLC) method was performed by a mobile phase consisting mixture of methanol and ammonium acetate buffer(pH 4.5) in the proportion 60:40 v/v. A ZORBAX Eclipse plus C(4.6 mm × 100 mm, 3.5 μ) column was used as a stationary phase. HPLC analysis ofatorvastatin was carried out at a wavelength of 241 nm with a flow rate of 1 ml/minute.18 Results: The linear regression analysis data for the calibration curve showed a good linear relationship with a correlation coefficient 0.9984. Thelinear regression equation was y=3726540.2x+27390388.1. This was found to give a sharp peak of atorvastatin at a retention time of 2.77 minutes.Validation parameters were evaluated for the method according to the ICH (Q2R1) guidelines. The limit of detection and limit of quantification for themethod were 0.6721 μg/mL and 1.9989 μg/mL, respectively. The % relative standard deviation values for intra-day precision and inter-day precisionwere found to be 0.31% and 0.30%, respectively. An accuracy of the method was determined through recovery studies which were found to be within97.57-102.22%.Conclusion: The method was validated for system suitability, accuracy, precision, robustness, and ruggedness. The precision, accuracy, sensitivityshort retention time and composition of the mobile phase indicated that this method is better than the earlier methods developed for the quantificationof atorvastatin.Keywords: Atorvastatin, Reversed phase-high performance liquid chromatographic method development, Validation

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

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

AN IMPROVEMENT TOWARDS CONSIDERING PREFERENCES OF WEB SEARCH

With the rising number of web users using Smartphone in addition to its individualized service under examination, the environment of Smartphone does not make available user’s search rankings suitable to personal inclinations. Ontology-based user profiles can productively confine users’ content as well as location preferences and make use of the preferences to make relevant results for users. A realistic design was introduced for Personalized Mobile Search Engine by adopting the approach of meta-search which relies on the commercial search engines, to carry out a genuine search. In Personalized Mobile Search Engine, ontologies were accepted to structure the concept space intended for the reason that they not only can stand up for concepts but also hold the relations between concepts. The design of personalized mobile search engine addressed the issues such as restricted computational power on mobile devices, and minimization of data transmission. Proposed design accept server-client model in which user queries are forwarded towards a personalized mobile search engine server for processing training as well as re-ranking rapidly

Complete androgenin sensitivity syndrome presenting with primary amenorrhoea and inguinal mass: a case report

Androgen insensitivity syndrome (AIS), also known as testicular feminization, an X-linked recessive disorder comprises a wide range of phenotypes that are caused by various types of mutations in the androgen receptor gene. AIs can be classified as complete, partial, or mild based on the phenotypic presentation. The clinical findings include a female type of external genitalia, 46-XY karyotype, absence of Mullerian structures, presence of Wolffian structures to various degree, and normal to high testosterone and gonadotropin levels. We report this case as an interesting and rare syndrome. The patient is a 15-year-old phenotypic female who presented with primary amenorrhea and normal-appearing external genitalia. Orchidectomy was done after proper counselling and proper psychological support was given to her

GREEN SYNTHESIS OF NANOSTRUCTURED ZINC PARTICLES USING AQUEOUS LEAF EXTRACT OF SCHREBERA SWIETENIOIDES ROXB. AND THEIR CATALYTIC APPLICATION IN DEGRADATION OF METHYL ORANGE, CRYSTAL VIOLET DYES AND CHROMIUM METAL

Objective: The present work was aimed to synthesized the zinc nanoparticles (ZnO NPs) using aqueous leaf extract of Schrebera swietenioides Roxb., and further, the green-synthesized ZnO NPs were studied for its efficacy in the degradation of hazardous dyes like methyl orange, crystal violet and hazardous metal such as chromium. Methods: The ZnO NPs were synthesized using aqueous leaf extract of S. swietenioides Roxb., as a green reducing agent and 0.1 M Zinc acetate as metal source and the NPs synthesis was completed within a short period of 6 h. The ZnO NPs synthesized were characterized using SEM, TEM, EDS, XRD, FT-IR and UV-visible spectrophotometer. Further, the synthesized NPs were applied for reduction of pollutant days such as methyl orange, crystal violet and pollutant metal chromium. Results: The synthesis of NPs was monitored by observing the color change in the reaction mixture and UV visible spectral analysis. The UV spectral analysis shows a characteristic absorption wavelength at 379 nm. The synthesized NPs were hexagonal wurtzite form crystals having a spherical shape with rough surfaces with an average size of 68 nm and having 73.7 % of zinc content. At a NPs dose of 1.0 g/l the photocatalytic reduction was observed as 85.33±0.02 %, 86.82±0.095 % and 86.73±0.104 % for crystal violet dye, methyl orange dye and chromium metal, respectively. The NPs shows a high % photocatalytic reduction of chromium metal, crystal violet dye and methyl orange dye with less contact time confirms that the synthesized ZnO NPs were effectively catalyzed the degradation of methyl orange, crystal violet dyes and chromium metal. The NPs were observed to be recyclable and can shows high reduction activity after the completion of three cycles of degradation. Conclusion: Hence it can be concluded that synthesized greener nanocatalyst was efficient for pollutant treatment and demonstrated the power of green biosynthesis for metallic nanoparticles