1,075 research outputs found

    Evaluation of fatty acid profile with special reference to hypertension intake from marine edible fishes

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    The present study describes the changes in fatty acid profile in hypertension patients by up taking the marine edible fishes Elutherenema tetradactylum, Sphyraena obtusata and Siganus javus because these marine edible fishes are rich in ? –fatty acids.  In this study the total cholesterol, HDL and LDL were significantly decreased from 211.9 – 202.1 mg/dl, 177-159.6 mg/dl. The palmitic acid (C16:0) was found significantly higher in all of peoples compared with other SFAs. This study revealed that the most abundant in individual FAs 16:0,18:0,18:1 n9 and 20:2 n6 were present in blood in both before and after dietary intake. The minimal changes of SFAs levels were decreased averagely from 59.2 to 52.2%. In addition to above PUFAs also increased from 27.7-30.5%. The essential FAs like ALA (C18:3n3), EPA (C20:5n3) and DHA (C22:6n3) were accounting in the range of 2.64-2.92%, 3.67-3.94% and 3.65-4.38%. Omega – 6/3 ratio were recorded from 1.77-2.45%. This study proves the marine edible fishes reduce the hypertension of the patients. Keywords: Edible fishes, ? –fatty acids, SFAs, HDL and LD

    Gas chromatography-Mass spectrometry analysis of bioactive compounds in chloroform extract of Psoralea corylifolia L.

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    Psoralea corylifolia is the most important medicinal plant which has various secondary metabolites and its leaves are broadly used in many sectors due to its antimicrobial activity. This study aimed to find the bio-active compounds of chloroform extract of P. corylifolia leaves using Perkin-Elmer Gas Chromatography – Mass Spectrometry (GC-MS). The results of GC-MS compounds in the chloroform extract was appropriate to the database of National Institute of Standards and Technology (NIST). GC-MS analysis of chloroform extract of P. corylifolia leaves reveal the presence of bioactive compounds as Hexadecanoic acid, 3-hydroxy-, methyl ester , Hydroxylamine, O-decyl- , 2,4-Di-tert-butylphenol ) Cubenol , Neophytadiene , Phytol , Linoleic acid ethyl esterand 9,12,15-Octadecatrienoic acid, ethyl ester, (Z,Z,Z)- ) . These bio-active compounds are mainly responsible for various biological activities. Hence, this study will make a good way for the production of various products for curing various disease-causing pathogens by using P. corylifolia leaves

    Transport coefficients for an inelastic gas around uniform shear flow: Linear stability analysis

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    The inelastic Boltzmann equation for a granular gas is applied to spatially inhomogeneous states close to the uniform shear flow. A normal solution is obtained via a Chapman-Enskog-like expansion around a local shear flow distribution. The heat and momentum fluxes are determined to first order in the deviations of the hydrodynamic field gradients from their values in the reference state. The corresponding transport coefficients are determined from a set of coupled linear integral equations which are approximately solved by using a kinetic model of the Boltzmann equation. The main new ingredient in this expansion is that the reference state f(0)f^{(0)} (zeroth-order approximation) retains all the hydrodynamic orders in the shear rate. In addition, since the collisional cooling cannot be compensated locally for viscous heating, the distribution f(0)f^{(0)} depends on time through its dependence on temperature. This means that in general, for a given degree of inelasticity, the complete nonlinear dependence of the transport coefficients on the shear rate requires the analysis of the {\em unsteady} hydrodynamic behavior. To simplify the analysis, the steady state conditions have been considered here in order to perform a linear stability analysis of the hydrodynamic equations with respect to the uniform shear flow state. Conditions for instabilities at long wavelengths are identified and discussed.Comment: 7 figures; previous stability analysis modifie

    Blockchain based Automated Construction Model Accuracy Prediction using DeepQ Decision Tree

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    A growth of Industry 4.0 standards are increasing day by day. Various research application and problem statements are coming to create multiple automation environments. Blockchain technology is the important evolution to produce dynamic and avoid intermediate middleware processing systems. In this paper we propose a blockchain based automated construction modelling and analysis system. Here we check the efficiency of the system by using collaboration, transparency, workflow and reliable data model. DeepQ based classification and prediction method is used to measure the accuracy index.  Decision tree algorithm is used to divide the process model and generate the chain codes. 1500 trained dataset and 750 dataset is taken from Revit construction model set and apply blockchain codes to process the dataset. The simulations are taken effectively and reach the accuracy as 96%

    Constraints in dry chilli cultivation practices and mechanization of harvesting in Southern India

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    Dry chilli production in India condition faces many challenges apart from adverse weather conditions, labor-intensive production practices and higher overall production costs are limiting profitable dry chilli cultivation. Therefore, a study was carried to know the key constraints in current chilli production practices in eight major production districts of three states. A systematic research and development approach is essential to know the range of constraints and farmers preferences over technological options for field operations. The harvesting operation alone demands 43% of labour 360.5 man-days/ha. So, red chilli harvesting mechanization is a definite immediate requirement to reduce labour input. Farmers (47%) prefer small size self-propelled chilli harvester over tractor operated equipment. In the production catchments, farmer also inferred to change the cultivation practices to mechanize chilli production operations, but 18% of farmers hesitant to adopt one-timeharvesting chilli varieties due to suspicion about the yield potentials

    Big-Loop Recurrence within the Hippocampal System Supports Integration of Information across Episodes

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    Recent evidence challenges the widely held view that the hippocampus is specialized for episodic memory, by demonstrating that it also underpins the integration of information across experiences. Contemporary computational theories propose that these two contrasting functions can be accomplished by big-loop recurrence, whereby the output of the system is recirculated back into the hippocampus. We use ultra-high-resolution fMRI to provide support for this hypothesis, by showing that retrieved information is presented as a new input on the superficial entorhinal cortex—driven by functional connectivity between the deep and superficial entorhinal layers. Further, the magnitude of this laminar connectivity correlated with inferential performance, demonstrating its importance for behavior. Our findings offer a novel perspective on information processing within the hippocampus and support a unifying framework in which the hippocampus captures higher-order structure across experiences, by creating a dynamic memory space from separate episodic codes for individual experiences

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    Not AvailableSundarban area of West Bengal State in India is a complex-diverse-risk prone agro-ecosystem grappled with degraded soil, water logging, brackish ground water and marginal farm holdings. South west monsoon rain-fed paddy crop is the major production system and the farm families have to migrate to other areas for employment during the post-monsoon season. Farm pond based rain water harvesting and optimally utilizing it to cultivate vegetables and rearing fish in the pond would provide them employment, income and self-reliance on a sustainable basis is the solution. Rain water harvesting based production system models namely, land shaping for aqua-agri integration, brackishwater pond based polyculture and paddy-cum-fish farming were implemented to 370 beneficiary families to enhance the livelihood security at Kakdwip and Namkhana blocks of South 24 Parganas district of West Bengal. A set of 15 indicators were identified by the subject matter scientists to assess the outcome of the interventions in enhancing the livelihood security of farm families. Impact analysis was done using ‘before vs after’ and control vs treatment research design. Primary data were collected from the sample of 120 proportionate random sample beneficiary farm families using a structured questionnaire and focus group meetings. The findings substantially indicated that all the three farming models have contributed for enhancing the livelihood security levels of the farm families in terms of creation of livelihood asset mainly the farm pond, conservation of natural water for multiple cropping and aquaculture, enhanced capabilities, employment generation, improved production from the land/pond, enhanced income from farming, access to better market price, access to development institutions, minimization of migration during off-season, enhanced self-reliant, and social status of the farm families. The analyses have confirmed that all the three farming models have significantly contributed for the livelihood security of the coastal farm families (p<0.01). Therefore, the study suggested that the Government may evolve a scheme with inbuilt subsidy in up-scaling these models in the entire Sundarban region for enhancing the livelihood security of farm families.Not Availabl

    Using the guard-stage-milestone notation for monitoring BPMN-based processes

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    Business processes are usually designed by means of imperative languages to model the acceptable execution of the activities performed within a system or an organization. At the same time, declarative languages are better suited to check the conformance of the states and transitions of the modeled process with respect to its actual execution. To avoid defining models twice from scratch to cope with both the process enactment and its monitoring, this paper proposes an approach for translating BPMN process models to E-GSM ones: an extension of the Guard-Stage-Milestone artifact-centric notation. The paper also shows how a monitoring engine based on E-GSM specifications can detect anomalies during the execution of the process and classify them according to different levels of severity, that is, with respect to the impact on the outcome of the process

    A Langevin Approach to One-Dimensional Granular Media Fluidized by Vibrations

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    We present a Langevin approach to describe the steady-state dynamics of one-dimensional granular media fluidized by a vibrating bottom plate. We adopt a linear Langevin equation to describe the motion of the center of mass. Within this framework, we derive analytical expressions for several macroscopic quantities. We also predict the power spectrum for the height of the center of mass. We find good agreement between our theoretical predictions and extensive event-driven molecular dynamics simulations.Comment: 11 pages, 3 figures, to be published in J. Phys. Soc. Jp
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