Impact of elevated Carbon Dioxide on two groundnut genotypes (Arachis hypogaea L.) under Open Top Chamber facility

The impact of enhanced atmospheric CO2 concentration (550ppm) was assessed in Open Top Chambers (OTCs) facility to identify the growth and yield parameters at different growth stages of two popular groundnut (Arachis hypogaea L.) genotypes- Dharani, K-9. The results showed significant differences between genotypes, CO2 levels and time intervals for all the characters studied. The experiments revealed that the genotype Dharani recorded higher response for seed weight, harvest index at eCO2 while K-9 recorded higher response for total biomass.This study is necessary if we are to realize the potential genotype for maximum yield in the future climate change scenario

Development of organic indica rice cultivar (Oryza sativa L.) for the wetlands of Kerala, India through new concepts and strategies of crop improvement

Developing crop varieties that are less dependent on the heavy application of synthetic fertilizers is essential for the sustainability of agriculture. Here we report the development of a new rice cultivar, the first of its kind possessing the general criteria for an organic rice variety, at the same time suitable for chemical agriculture as well, and with favourable cooking and nutritive qualities. The method adopted for cultivar development was a combined strategy of pedigree breeding, organic plant breeding, and farmer participatory breeding approaches. Considering its high grain and straw yield potential even under organic management and unfavorable soil conditions, and its other favorable quality and organic varietal traits, farmers have started large scale cultivation of this cultivar even before its commercial release. The cultivar, namely culture MK 157, is at the pipe end of variety release in the Kerala state of India

Cerebrospinal fluid adenosine deaminase and lysozyme levels in the diagnosis of tuberculous meningitis

Adenosine Deaminase Activity (ADA) and Lysozyme Activity (LYSA) were measured in the CSF of tuberculous meningitis (TBM) cases : 26 bacteriologically positive TBM (Group 1), 61 bacteriologically negative TBM (Group 2), 10 non-tuberculous meningitis (Group 3) and 17 control subjects (Group 4). The mean ADA levels in different groups in that order were found to be 11.6, 4.5, 4.4 and 0.8 U/l respectively. The mean LYSA levels in the same groups were 6.3, 2.1, 2.2 and 0.5 mcg/ml respectively. In bacteriologically positive TBM, the mean ADA and LYSA levels were significantly higher than the other three groups (p < 0.0001). An ADA level of 4U/l and LYSA tests were 96%, 82% and 85%, 95% respectively. When both the criteria were considered, the sensitivity and specificity were 91% and 93% respectively. Combination of both test definitions could give additional support to the diagnosis in 49% of 61 clinically suspected but bacteriologically negative TBM cases. Correlation of ADA and LYSA levels in CSF was found to be statistically significant (r = 0.59; p < 0.01)

Improvement of Mechanical, Thermal and Optical Properties of Barium Mixed Cobalt Tartrate Hydrate Crystals Grown by Gel Method

In this present work, CTH and BCTH crystals have been prepared by gel technique by using single diffusion method at room temperature. The as grown crystals were characterized by using XRD, FT-IR, UV, TG / DTA and Micro hardness studies. X-ray powder diffraction results analyzed by using suitable software suggest that a CTH and BCTH crystals belong to cubic crystal system. The unit cell volume is observed to increase with increase in the concentration of barium in cobalt tartrate due to the lattice distortion. The band gap and optical properties have analyzed by UV-Visible spectrum. The functional groups and compound formation of the crystals have been studied by FT-IR spectrum. The mechanical properties of the grown crystals were tested by using Vicker’s microhardness studies. The work hardening coefficient (n) was determined to be 3.7 for CTH, 5.3 for BCTH (1 : 1) and 6.4 for BCTH (2 : 1) and the stiffness constants for different loads were calculated and reported. Thermal analysis suggests that pure cobalt tartrate starts decomposing at 73.2 C whereas the barium mixed cobalt tartrate brings about better thermal stability which increases with an increase in barium concentration

Damage function for historic paper. Part I: Fitness for use

Background In heritage science literature and in preventive conservation practice, damage functions are used to model material behaviour and specifically damage (unacceptable change), as a result of the presence of a stressor over time. For such functions to be of use in the context of collection management, it is important to define a range of parameters, such as who the stakeholders are (e.g. the public, curators, researchers), the mode of use (e.g. display, storage, manual handling), the long-term planning horizon (i.e. when in the future it is deemed acceptable for an item to become damaged or unfit for use), and what the threshold of damage is, i.e. extent of physical change assessed as damage. Results In this paper, we explore the threshold of fitness for use for archival and library paper documents used for display or reading in the context of access in reading rooms by the general public. Change is considered in the context of discolouration and mechanical deterioration such as tears and missing pieces: forms of physical deterioration that accumulate with time in libraries and archives. We also explore whether the threshold fitness for use is defined differently for objects perceived to be of different value, and for different modes of use. The data were collected in a series of fitness-for-use workshops carried out with readers/visitors in heritage institutions using principles of Design of Experiments. Conclusions The results show that when no particular value is pre-assigned to an archival or library document, missing pieces influenced readers/visitors’ subjective judgements of fitness-for-use to a greater extent than did discolouration and tears (which had little or no influence). This finding was most apparent in the display context in comparison to the reading room context. The finding also best applied when readers/visitors were not given a value scenario (in comparison to when they were asked to think about the document having personal or historic value). It can be estimated that, in general, items become unfit when text is evidently missing. However, if the visitor/reader is prompted to think of a document in terms of its historic value, then change in a document has little impact on fitness for use

Genetic variability for grain yield and water use efficiency in blackgram genotypes

Transpiration efficiency (TE, g biomass kg-1 water transpired) is the preferred measure for examining po- tential genetic variation in crop water use efficiency (WUE). TE was assessed gravimetrically from sowing to grain harvest in fifteen blackgram accessions, two checks and two local varieties under well-watered conditions during kharif season. TEbiomass varied from 2.87 - 5.27 g kg-1 and TEseed varied from 1.10 - 2.03 g kg-1 among genotypes. High coefficient of variability was observed for seed yield and TEseed.Total biomass, TEbiomass, HI and water transpired recorded medium coefficient of variability. High heritability in broad sense was observed for seed yield, TEseed and total biomass. High genetic advance as percent of mean was observed for seed yield, TEseed, total biomass and TEbiomass. High heritability coupled with high genetic advance as per cent of mean was observed for seed yield, total biomass and TEseed.TEseed is significantly positively correlated with TEbiomass (0.883**), seed yield/ plant (0.805**), HI (0.757**) and biomass (0.572*). TEbiomass, seed yield per plant, total biomass and HI were the important components of TEseed as revealed by correlation studies.D2 analysis partitioned the nineteen genotypes in to five clusters. The maximum inter cluster distance was observed between cluster II and V (24.94) and III and IV (22.6). Genotypes IC436665, IC343952 and Local II (Cluster III) had high mean values for TEbiomass and TEseed along with total biomass and seed yield. These genotypes should be useful in future breeding programs for higher water use efficiency

Activation of caspase-1 by the NLRP3 inflammasome regulates the NADPH oxidase NOX2 to control phagosome function

Phagocytosis is a fundamental cellular process that is pivotal for immunity as it coordinates microbial killing, innate immune activation and antigen presentation. An essential step in this process is phagosome acidification, which regulates a number of functions of these organelles that allow them to participate in processes essential to both innate and adaptive immunity. Here we report that acidification of phagosomes containing Gram-positive bacteria is regulated by the NLRP3-inflammasome and caspase-1. Active caspase-1 accumulates on phagosomes and acts locally to control the pH by modulating buffering by the NADPH oxidase NOX2. These data provide insight into a mechanism by which innate immune signals can modify cellular defenses and establish a new function for the NLRP3-inflammasome and caspase-1 in host defense

Exploring the mycobacteriophage metaproteome: Phage genomics as an educational platform

Bacteriophages are the most abundant forms of life in the biosphere and carry genomes characterized by high genetic diversity and mosaic architectures. The complete sequences of 30 mycobacteriophage genomes show them collectively to encode 101 tRNAs, three tmRNAs, and 3,357 proteins belonging to 1,536 "phamilies" of related sequences, and a statistical analysis predicts that these represent approximately 50% of the total number of phamilies in the mycobacteriophage population. These phamilies contain 2.19 proteins on average; more than half (774) of them contain just a single protein sequence. Only six phamilies have representatives in more than half of the 30 genomes, and only three - encoding tape-measure proteins, lysins, and minor tail proteins - are present in all 30 phages, although these phamilies are themselves highly modular, such that no single amino acid sequence element is present in all 30 mycobacteriophage genomes. Of the 1,536 phamilies, only 230 (15%) have amino acid sequence similarity to previously reported proteins, reflecting the enormous genetic diversity of the entire phage population. The abundance and diversity of phages, the simplicity of phage isolation, and the relatively small size of phage genomes support bacteriophage isolation and comparative genomic analysis as a highly suitable platform for discovery-based education. © 2006 Hatfull et al

Improvement of Mechanical, Thermal and Optical Properties of Barium Mixed Cobalt Tartrate Hydrate Crystals Grown by Gel Method

In this present work, CTH and BCTH crystals have been prepared by gel technique by using single diffusion method at room temperature. The as grown crystals were characterized by using XRD, FT-IR, UV, TG / DTA and Micro hardness studies. X-ray powder diffraction results analyzed by using suitable software suggest that a CTH and BCTH crystals belong to cubic crystal system. The unit cell volume is observed to increase with increase in the concentration of barium in cobalt tartrate due to the lattice distortion. The band gap and optical properties have analyzed by UV-Visible spectrum. The functional groups and compound formation of the crystals have been studied by FT-IR spectrum. The mechanical properties of the grown crystals were tested by using Vicker’s microhardness studies. The work hardening coefficient (n) was determined to be 3.7 for CTH, 5.3 for BCTH (1 : 1) and 6.4 for BCTH (2 : 1) and the stiffness constants for different loads were calculated and reported. Thermal analysis suggests that pure cobalt tartrate starts decomposing at 73.2 C whereas the barium mixed cobalt tartrate brings about better thermal stability which increases with an increase in barium concentration

Early and Accurate Prediction of Heart Disease Using Machine Learning Model

Heart disease is one of the critical health issues and many people across the world are suffering with this disease. It is important to identify this disease in early stages to save many lives. The purpose of this article is to design a model to predict the heart diseases using machine learning techniques. This model is developed using classification algorithms, as they play important role in prediction. The model is developed using different classification algorithms which include Logistic Regression, Random Forest, Support vector machine, Gaussian Naïve Bayes, Gradient boosting, K-nearest neighbours, Multinomial Naïve bayes and Decision trees. Cleveland data repository is used to train and test the classifiers. In addition to this, feature selection algorithm named chi square is used to select key features from the input data set, which will decrease the execution time and increases the performance of the classifiers. Out of all the classifiers evaluated using performance metrics, Random forest is giving good accuracy. So, the model built using Random forest is efficient and feasible solution in identifying heart diseases and it can be implemented in healthcare which plays key role in the stream of cardiology. &nbsp