Resource-use Efficiency of Paddy Cultivation in Peechi Command Area of Thrissur District of Kerala: An Economic Analysis

This study undertaken in the Peechi Command Area of Thrissur district in the Kerala state, has examined the resource productivity and allocative as well as the technical efficiency of paddy production. The study has used the primary data collected from 71 rice farmers of the command area using the stratified random sampling. The cost of cultivation of paddy in the command area has been found as Rs 21603/ha, resulting in a BC ratio of 1.34. The elasticity coefficients for chemical fertilizers, farmyard manure and human labour have been observed significant and positive. The allocative efficiency has indicated that marginal return per one rupee increase under these heads would be Rs 2.83, Rs 1.57 and Rs 1.17, respectively. The average technical efficiency of the paddy farmers in the command area has been found as 66.8 per cent. Education of the farmer and supplementary irrigation provided during the water-stress days have been identified as the factors which could enhance the technical efficiency. The study has called for an equitable distribution of canal water and enhanced extension services for resource management in the area.Agricultural and Food Policy,

Optimum Cropping Pattern for Sericulture-dominant Farms in Southern Dry Zone of Karnataka

Sericulture is labour-intensive and well-suited to small and marginal farms with surplus labour, especially female labour. Ample labour and a small land-base encourage farmers to practise sericulture as a subsidiary occupation. While income from crop production is seasonal, sericulture provides a year-round income, which is an important incentive for small farmers to take up sericulture. The agricultural production is seasonal, while consumption is evenly spread over the years. Under such circumstances, the planners and policymakers are confronted with the challenge of formulating a suitable agricultural production policy with which the desired growth of agricultural production can be achieved. In the present study, optimum cropping patterns for different categories of sericulturists have been suggested by selecting Siddlaghatta in Kolar and Kollegal talukas in Mysore as study areas. The primary data have been collected using the personal interview method. The deterministic linear programming technique has been employed to work out the maximum attainable returns by small, medium and large farmers through the optimum allocation of various crops, sericulture and livestock (dairy), using the available resources. The model has suggested fewer crops in the cropping pattern of both the areas. The model has also suggested shifting of the cropping pattern from subsistence-dominated crops like ragi to commercial crops like bivoltine sericulture in the Kolar area and crossbreed sericulture in the Musore area. The suggested cropping patterns have increased the gross income in the range of 83.55 to 388.68 per cent in the Kolar area and 2.71 to 10.70 per cent in the Kollegal area.Agricultural and Food Policy,

DRUG INTERACTION INDUCED PHENYTOIN TOXICITY: A CASE REPORT

Phenytoin is a narrow therapeutic indexed antiepileptic drug. Many drugs competitively inhibit isoenzymes responsible for its metabolism when concurrently administered and increases the phenytoin plasma concentration leading to serious adverse effects. One such case is being reported with phenytoin toxicity due to concurrent administration of phenytoin and Isoniazid

Machine learning for nano-scale particulate matter distribution from gasoline direct injection engine

Predicting the amount of combustion generated nano-scale particulate matter (PM) emitted by gasoline direct injection (GDI) is a challenging task, but immensely useful for engine calibration engineers in order to meet the stringent emission legislation norms. The present work aimed to link the in-cylinder combustion with engine-out nano-scale PM for the size range of 23.7 to 1000 nm diameter. Neural network with a single hidden layer using first 8 principal components of cylinder pressure was employed for training and predicting the number of nano-scale PM number count. Using a systematic computational approach and comparing its results with experimental data this work demonstrates that machine-learning approach based on neural network is sufficient for predicting engine out nano-scale PM count as a function of engine load and speed

Finite Element Analysis of Free Vibration of the Delaminated Composite Plate with Variable Kinematic Multilayered Plate Elements

Composite laminates are prone to delamination. Implementation of delamination in the Carrera Unified Formulation frame work using nine noded quadrilateral MITC9 element is discussed in this article. MITC9 element is devoid of shear locking and membrane locking. Delaminated as well as healthy structure is analyzed for free mode vibration. The results from the present work are compared with the available experimental or/and research article or/and the three dimensional finite element simulations. The effect of different kinds and different percentages of area of delamination on the first three natural frequencies of the structure is discussed. The presence of open-mode delamination mode shape for large delaminations within the first three natural frequencies is discussed. Also, the switching of places between the second bending mode, with that of the first torsional mode frequency is discussed. Results obtained from different ordered theories are compared in the presence of delamination. Advantage of layerwise theories as compared to equivalent single layer theories for very large delaminations is stated. The effect of different kinds of delamination and their effect on the second bending and first torsional mode shape is discussed. (C) 2014 Elsevier Ltd. All rights reserved

Algorithms for effective querying of compound graph-based pathway databases

<p>Abstract</p> <p>Background</p> <p>Graph-based pathway ontologies and databases are widely used to represent data about cellular processes. This representation makes it possible to programmatically integrate cellular networks and to investigate them using the well-understood concepts of graph theory in order to predict their structural and dynamic properties. An extension of this graph representation, namely hierarchically structured or compound graphs, in which a member of a biological network may recursively contain a sub-network of a somehow logically similar group of biological objects, provides many additional benefits for analysis of biological pathways, including reduction of complexity by decomposition into distinct components or modules. In this regard, it is essential to effectively query such integrated large compound networks to extract the sub-networks of interest with the help of efficient algorithms and software tools.</p> <p>Results</p> <p>Towards this goal, we developed a querying framework, along with a number of graph-theoretic algorithms from simple neighborhood queries to shortest paths to feedback loops, that is applicable to all sorts of graph-based pathway databases, from PPIs (protein-protein interactions) to metabolic and signaling pathways. The framework is unique in that it can account for compound or nested structures and ubiquitous entities present in the pathway data. In addition, the queries may be related to each other through "AND" and "OR" operators, and can be recursively organized into a tree, in which the result of one query might be a source and/or target for another, to form more complex queries. The algorithms were implemented within the querying component of a new version of the software tool P<smcaps>ATIKA</smcaps><it>web </it>(Pathway Analysis Tool for Integration and Knowledge Acquisition) and have proven useful for answering a number of biologically significant questions for large graph-based pathway databases.</p> <p>Conclusion</p> <p>The P<smcaps>ATIKA</smcaps> Project Web site is <url>http://www.patika.org</url>. P<smcaps>ATIKA</smcaps><it>web </it>version 2.1 is available at <url>http://web.patika.org</url>.</p

Human protein reference database—2006 update

Human Protein Reference Database (HPRD) () was developed to serve as a comprehensive collection of protein features, post-translational modifications (PTMs) and protein–protein interactions. Since the original report, this database has increased to >20 000 proteins entries and has become the largest database for literature-derived protein–protein interactions (>30 000) and PTMs (>8000) for human proteins. We have also introduced several new features in HPRD including: (i) protein isoforms, (ii) enhanced search options, (iii) linking of pathway annotations and (iv) integration of a novel browser, GenProt Viewer (), developed by us that allows integration of genomic and proteomic information. With the continued support and active participation by the biomedical community, we expect HPRD to become a unique source of curated information for the human proteome and spur biomedical discoveries based on integration of genomic, transcriptomic and proteomic data

Comprehensive analysis of temporal alterations in cellular proteome of bacillus subtilis under curcumin treatment

Curcumin is a natural dietary compound with antimicrobial activity against various gram positive and negative bacteria. This study aims to investigate the proteome level alterations in Bacillus subtilis due to curcumin treatment and identification of its molecular/cellular targets to understand the mechanism of action. We have performed a comprehensive proteomic analysis of B. subtilis AH75 strain at different time intervals of curcumin treatment (20, 60 and 120 min after the drug exposure, three replicates) to compare the protein expression profiles using two complementary quantitative proteomic techniques, 2D-DIGE and iTRAQ. To the best of our knowledge, this is the first comprehensive longitudinal investigation describing the effect of curcumin treatment on B. subtilis proteome. The proteomics analysis revealed several interesting targets such UDP-N-acetylglucosamine 1-carboxyvinyltransferase 1, putative septation protein SpoVG and ATP-dependent Clp protease proteolytic subunit. Further, in silico pathway analysis using DAVID and KOBAS has revealed modulation of pathways related to the fatty acid metabolism and cell wall synthesis, which are crucial for cell viability. Our findings revealed that curcumin treatment lead to inhibition of the cell wall and fatty acid synthesis in addition to differential expression of many crucial proteins involved in modulation of bacterial metabolism. Findings obtained from proteomics analysis were further validated using 5-cyano-2,3-ditolyl tetrazolium chloride (CTC) assay for respiratory activity, resazurin assay for metabolic activity and membrane integrity assay by potassium and inorganic phosphate leakage measurement. The gene expression analysis of selected cell wall biosynthesis enzymes has strengthened the proteomics findings and indicated the major effect of curcumin on cell division

CHARACTERIZATION OF CELL SURFACE PROPERTIES, CHLORINE RESISTANCE AND SURVIVAL OF ESCHERICHIA COLI O157:H7 STRAINS

Escherichia coli O157:H7 outbreaks linked to tainted fresh produce have increased during recent years. The aim of this study is to characterize the cell surface properties, chlorine resistance and attachment to leafy greens of several E. coli O157:H7 strains belonging to different phylogenetic clades, in order to reveal if there is any correlation between their survival and bacterial cell surface properties. Six strains chosen among the nine E. coli O157:H7 clades included the fresh produce outbreak associated strains Sakai (1996 sprout outbreak in Japan) and TW14359 (2006 spinach outbreak in the US). The growth kinetics of these strains was compared in BHI broth containing 0.81 ppm free chlorine. Cell surface hydrophobicity, auto-aggregation and curli production were determined by in vitro assays and compared to the generic E. coli strain BW25113. The results showed that these E. coli O157:H7 strains exhibited different chlorine resistances regardless of their phylogenetic distance. They were approximately 20% more hydrophilic (p=0.0072) and showed 77% less auto-aggregated cells (p=0.049) after overnight incubation in broth than the generic E. coli strain. However, no distinguishable hydrophobic or aggregation properties were observed among the six E. coli O157:H7 strains despite their different resistances toward chlorine treatment. Curli production measured by a Congo-Red binding assay in suspension varied among the strains and exhibited no correlation with chlorine resistance. In preliminary studies of chlorine exposure (0.81 ppm) of cells being attached to spinach leaf surface, the spinach outbreak strain TW14359 showed less inactivation (2.6-fold) than the sprout outbreak strain Sakai (15-fold). The information generated from this study will help to develop more effective interventions used in the produce industry.M.S. in Food Safety and Technology, December 201