Effect of different shading intensities on growth and yield of cherry tomato

Cherry tomato (Solanum lycopersicon var cerasiforme) is small size fruits, with a bright red colour resembling to cherry and becoming popular in the retail chains which are marketed at a premium price. The field experiment was conducted to study the effect of different (35, 50 and 75 per cent) shading intensities on growth and yield (qha-1 ) of cherry tomato. Significantly maximum yield was recorded in 35 per cent shading intensity and genotype Kalash Seeds Product (KSP)-113 (579.44 and 503.88 q ha-1 , respectively). Among the different shading intensities and genotypes, maximum plant height was observed in 75 per cent shading intensity and genotype KSP -113 at 30 days interval (74.70 and 60.95 cm, respectively). The minimum days to 50% flowering of cherry tomato were observed in cherry tomatoes grown under 35 per cent shading intensity (45.00 days) as compared to other shading intensities while minimum days to 50% flowering were observed in genotype KSP-113 (44.00 days). The maximum length of the cluster (9.58 cm), the weight of cluster (27.67 g), number of fruits per cluster (9.42) and number of pickings (11.67) were observed in 35 per cent shading intensities and in genotype KSP-113. The cultivation of KSP-113 genotype under 35 per cent shading intensity was found to be most sustainable for improving growth and yield of cherry tomato during the summer season

User Feedback Analysis System using Natural Language Processing and Artificial Intelligence

The Web has dramatically changed the way that people express their views and opinions. Now if one wants to purchase a product, he/she is no longer limited to asking his/her friends and families because there are many product reviews on the Web which give opinions of existing users of the product. Here we present the system which provides us information about such products and services in summarization form. Finding opinion sources and monitoring them on the Web can still be a difficult task because there are a large number of diffrent sources, and each source may also have a huge volume of opinionated text (text with opinions or sentiments). In most cases, opinions are hidden in long forum posts and blogs. It is complicated for a human reader to find relable sources, extract related sentences with opinions, read them, summarize them, and manage them into usable forms. Thus, automated summarization systems are needed. Using this summarization we can recognize the importance, quality, popularity of product and services. In this system we make summarization for product. But, we can use this system anywhere, where text analysis is required. Sentiment analysis, also known as opinion mining, grows out of this need. It is a challenging natural language processing or text mining problem. Due to its tremendous value for practical applications, there has been an excessive growth of both research in academia and applications in the industry

A convenient synthesis of 2-fluoro-ɑ-methyl[1,1'-biphenyl]-4-acetic acid via rearrangement of aryl ketones

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Probing the Outer Mouth Structure of the hERG Channel with Peptide Toxin Footprinting and Molecular Modeling

Abstract Previous studies have shown that the unusually long S5-P linker lining human ether a-go-go related gene’s (hERG’s) outer vestibule is critical for its channel function: point mutations at high-impact positions here can interfere with the inactivation process and, in many cases, also reduce the pore’s K+ selectivity. Because no data are available on the equivalent region in the available K channel crystal structures to allow for homology modeling, we used alternative approaches to model its three-dimensional structure. The first part of this article describes mutant cycle analysis used to identify residues on hERG’s outer vestibule that interact with specific residues on the interaction surface of BeKm-1, a peptide toxin with known NMR structure and a high binding affinity to hERG. The second part describes molecular modeling of hERG’s pore domain. The transmembrane region was modeled after the crystal structure of KvAP pore domain. The S5-P linker was docked to the transmembrane region based on data from previous NMR and mutagenesis experiments, as well as a set of modeling criteria. The models were further restrained by contact points between hERG’s outer vestibule and the bound BeKm-1 toxin molecule deduced from the mutant cycle analysis. Based on these analyses, we propose a working model for the open conformation of the outer vestibule of the hERG channel, in which the S5-P linkers interact with the pore loops to influence ion flux through the pore

An Intrusion Detection System Algorithm for Defending MANET against the DDoS Attacks.

Mobile ad hoc network (MANET) is rapidly deployable, self configuring network able to communicate with each other without the aid of any centralized system. There is no need for existing infrastructure base network. In MANET Wireless medium is radio frequencies and nodes are mobile, topology can be very dynamically. Nodes must be able to relay traffic since communicating nodes might be out of range. A MANET can be a standalone network or it can be connected to external networks like internet. Multihop operation of MANET requires a routing mechanism designed for mobile nodes are internet access mechanisms, self configuring networks requires an address allocation mechanism, mechanism to detect and act on, merging of existing networks and security mechanisms. As we know that there is no any centralized system so routing is done by node itself. Due to its mobility and self routing capability nature, there are many weaknesses in its security

Mycobacterium tuberculosis Responds to Chloride and pH as Synergistic Cues to the Immune Status of its Host Cell

PubMed ID: 23592993This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Lgl2 Executes Its Function as a Tumor Suppressor by Regulating ErbB Signaling in the Zebrafish Epidermis

Changes in tissue homeostasis, acquisition of invasive cell characteristics, and tumor formation can often be linked to the loss of epithelial cell polarity. In carcinogenesis, the grade of neoplasia correlates with impaired cell polarity. In Drosophila, lethal giant larvae (lgl), discs large (dlg), and scribble, which are components of the epithelial apico-basal cell polarity machinery, act as tumor suppressors, and orthologs of this evolutionary conserved pathway are lost in human carcinoma with high frequency. However, a mechanistic link between neoplasia and vertebrate orthologs of these tumor-suppressor genes remains to be fully explored at the organismal level. Here, we show that the pen/lgl2 mutant phenotype shares two key cellular and molecular features of mammalian malignancy: cell autonomous epidermal neoplasia and epithelial-to-mesenchymal-transition (EMT) of basal epidermal cells including the differential expression of several regulators of EMT. Further, we found that epidermal neoplasia and EMT in pen/lgl2 mutant epidermal cells is promoted by ErbB signalling, a pathway of high significance in human carcinomas. Intriguingly, EMT in the pen/lgl2 mutant is facilitated specifically by ErbB2 mediated E-cadherin mislocalization and not via canonical snail–dependent down-regulation of E-cadherin expression. Our data reveal that pen/lgl2 functions as a tumor suppressor gene in vertebrates, establishing zebrafish pen/lgl2 mutants as a valuable cancer model

Landscapes of Urbanization and De-Urbanization: A Large-Scale Approach to Investigating the Indus Civilization's Settlement Distributions in Northwest India.

Survey data play a fundamental role in studies of social complexity. Integrating the results from multiple projects into large-scale analyses encourages the reconsideration of existing interpretations. This approach is essential to understanding changes in the Indus Civilization's settlement distributions (ca. 2600-1600 b.c.), which shift from numerous small-scale settlements and a small number of larger urban centers to a de-nucleated pattern of settlement. This paper examines the interpretation that northwest India's settlement density increased as Indus cities declined by developing an integrated site location database and using this pilot database to conduct large-scale geographical information systems (GIS) analyses. It finds that settlement density in northwestern India may have increased in particular areas after ca. 1900 b.c., and that the resulting landscape of de-urbanization may have emerged at the expense of other processes. Investigating the Indus Civilization's landscapes has the potential to reveal broader dynamics of social complexity across extensive and varied environments.ER