Paddy physiology and enzymes level is regulated by rhizobacteria under saline stress

To investigate the physiological basis of salt adaptation in paddy due to inoculation with plant growth promoting bacteria, we compared their effect in paddy under saline and non-saline condition on root length, chlorophyll content, relative water content, stomatal conductance, membrane stability index and change in ascorbate peroxidase and nitrate reductase activities. In a pot experiment, the effect of endophytic and rhizospheric bacteria was studied in a local paddy rice (Oryza sativa L.) variety GJ-17 under salt stress. Our findings suggest that inoculation with Pseudomonas pseudoalcaligenes and Bacillus pumilus resulted in change of ascorbate peroxidase, nitrate reductase activity and plant growth parameters such as root length, chlorophyll content, RWC, stomatal conductance and membrane stability index under salinity. Mixture of both Pseudomonas pseudoalcaligenes and Bacillus pumilus revealed better response in paddy against the adverse effects of salinity

Realizing live sequence charts in SystemVerilog.

The design of an embedded control system starts with an investigation of properties and behaviors of the process evolving within its environment, and an analysis of the requirement for its safety performance. In early stages, system requirements are often specified as scenarios of behavior using sequence charts for different use cases. This specification must be precise, intuitive and expressive enough to capture different aspects of embedded control systems. As a rather rich and useful extension to the classical message sequence charts, live sequence charts (LSC), which provide a rich collection of constructs for specifying both possible and mandatory behaviors, are very suitable for designing an embedded control system. However, it is not a trivial task to realize a high-level design model in executable program codes effectively and correctly. This paper tackles the challenging task by providing a mapping algorithm to automatically synthesize SystemVerilog programs from given LSC specifications

A Unified treatment of small and large- scale dynamos in helical turbulence

Helical turbulence is thought to provide the key to the generation of large-scale magnetic fields. Turbulence also generically leads to rapidly growing small-scale magnetic fields correlated on the turbulence scales. These two processes are usually studied separately. We give here a unified treatment of both processes, in the case of random fields, incorporating also a simple model non-linear drift. In the process we uncover an interesting plausible saturated state of the small-scale dynamo and a novel analogy between quantum mechanical (QM) tunneling and the generation of large scale fields. The steady state problem of the combined small/large scale dynamo, is mapped to a zero-energy, QM potential problem; but a potential which, for non-zero mean helicity, allows tunneling of bound states. A field generated by the small-scale dynamo, can 'tunnel' to produce large-scale correlations, which in steady state, correspond to a force-free 'mean' field.Comment: 4 pages, 1 figure, Physical Review Letters, in pres

A Perturbed Self-organizing Multiobjective Evolutionary Algorithm to solve Multiobjective TSP

Travelling Salesman Problem (TSP) is a very important NP-Hard problem getting focused more on these days. Having improvement on TSP, right now consider the multi-objective TSP (MOTSP), broadened occurrence of travelling salesman problem. Since TSP is NP-hard issue MOTSP is additionally a NP-hard issue. There are a lot of algorithms and methods to solve the MOTSP among which Multiobjective evolutionary algorithm based on decomposition is appropriate to solve it nowadays. This work presents a new algorithm which combines the Data Perturbation, Self-Organizing Map (SOM) and MOEA/D to solve the problem of MOTSP, named Perturbed Self-Organizing multiobjective Evolutionary Algorithm (P-SMEA). In P-SMEA Self-Organizing Map (SOM) is used extract neighborhood relationship information and with MOEA/D subproblems are generated and solved simultaneously to obtain the optimal solution. Data Perturbation is applied to avoid the local optima. So by using the P-SMEA, MOTSP can be handled efficiently. The experimental results show that P-SMEA outperforms MOEA/D and SMEA on a set of test instances

Subclasses Of Multivalent Harmonic Mappings Defined By Convolution.

Harmonic mappings have been recently investigated from the perspective of geometric function theory. These mappings are important in the study of minimal surfaces. Although harmonic mappings need not be analytic, they have been studied as generalizations of conformal mappings. The seminal works of Clunie and Sheil-Small [4] and Sheil-Small [B] showed that while certain classical results for conformal mappings have analogues for harmonic mappings, many other basic questions remain unsolved

Economic utilization, recovery and substitution of some strategic non-ferrous metals

With the increased tempo of industrial expansion and the ever rising consumption of common nonferrous metals like copper, lead, zinc, tin, deficient in India, their conservation, substitution, reclamation from waste pro-ducts and substandard raw materials are of paramount importance for India, not only to tide over the present crisis but also in the larger interest of economic growth and self-sufficiency. Self-sufficiency can be attained by developing processes for the utilization of low grade and other complex ores, recovery of metals from waste products like slags, ashes, drosses and above all by the conservation of non-ferrous metals not avail-able in the country by their judicious use and subst-itution

An unsupervised automated paradigm for artifact removal from electrodermal activity in an uncontrolled clinical setting

Objective. Electrodermal activity (EDA) reflects sympathetic nervous system activity through sweating-related changes in skin conductance and could be used in clinical settings in which patients cannot self-report pain, such as during surgery or when in a coma. To enable EDA data to be used robustly in clinical settings, we need to develop artifact detection and removal frameworks that can handle the types of interference experienced in clinical settings while salvaging as much useful information as possible. Approach. In this study, we collected EDA data from 70 subjects while they were undergoing surgery in the operating room. We then built a fully automated artifact removal framework to remove the heavy artifacts that resulted from the use of surgical electrocautery during the surgery and compared it to two existing state-of-the-art methods for artifact removal from EDA data. This automated framework consisted of first utilizing three unsupervised machine learning methods for anomaly detection, and then customizing the threshold to separate artifact for each data instance by taking advantage of the statistical properties of the artifact in that data instance. We also created simulated surgical data by introducing artifacts into cleaned surgical data and measured the performance of all three methods in removing it. Main results. Our method achieved the highest overall accuracy and precision and lowest overall error on simulated data. One of the other methods prioritized high sensitivity while sacrificing specificity and precision, while the other had low sensitivity, high error, and left behind several artifacts. These results were qualitatively similar between the simulated data instances and operating room data instances. Significance. Our framework allows for robust removal of heavy artifact from EDA data in clinical settings such as surgery, which is the first step to enable clinical integration of EDA as part of standard monitoring

Taxonomy and Distribution of Recent Benthic Foraminifera from the Inner Shelf of Gulf of Mannar, off Tuticorin, South East Coast of India

Foraminifera have been successful inhabitants of every aquatic environment from deep oceans to brackish water lagoons, estuaries and even rarely in fresh water streams, lakes, etc. In order to know their distribution in different offshore habitates, the present study has been undertaken 9 stations starting from Thirayshapuram to Vanthivu in two transects with necessary precautions from Gulf of Mannar, Tuticorin. Twenty five bottom sediments and water samples were collected. Benthic foraminiferal taxa belonging to four sub orders (Textularina, Milolina, Lagenina and Rotalina), 5 super families, 10 families, 11 sub families, 14 genera and 29 species have been identified. Among the 29 species, five species Ammonia beccarii, A. dentate, Spiroloculina communis, Quinquloculina seminulam and Pararotalina nipponica are considered to be abundant species of the present study. Higher diversity and population of foraminifera is noticed in the samples collected in the stations 2 to 8, because of their favorable niche. In the stations 1 and 9 the lower diversity and population may be due to the winnowing action of the waves. The substrate of present study area is seen to consist of Silty clay, Sand, Silty sand and Sand. The most accommodative substrate for higher population is Silty sand. The main ecological parameters, which govern the distribution of foraminifera of the present study area, are organic matter content and nature of the substrate. The other water parameters like temperature, salinity, pH and dissolved oxygen do not show any appreciable spatial variation among different stations and hence they do not have any ecological significance in the distribution of foraminifera. Keywords: Benthic foraminifera, Gulf of Mannar, South East coast of India

Impact of intercropping on root distribution in coconut under coastal sandy soil

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