EVALUATION OF ANALYTICAL SOLUTION FOR FRACTIONAL DIFFUSION EQUATIONS USING FIXED POINT THEOREMS AND ENHANCED ADOMIAN DECOMPOSITION METHOD

In recent years, the diffusion equations and fixed-point theorems are considered as a main role to solve different mathematical analysis sensing. Hence in this paper, enhanced Adomian decomposition method is developed to solve the considered problems with efficient solutions. Here, the fractional diffusion equations are considered with variable coefficients to formulate the problems. The fractional integral or derivative functions are utilized with the consideration of caputo definition. This proposed approach is utilized to analysis the analytical solutions to compute the optimal solutions. Additionally, optimal solutions are obtained with the consideration of three fixed point theorems such as Arzela Ascoli theorem, Schaefer fixed point theorem and Banach fixed point theorem. The formulated problems are solved by using the enhanced Adomian decomposition method as well as fixed point theorems. In last, the numerical analysis of the considered problems with the solutions of the fixed-point theorems are presented. The proposed method is working based on iteration process to achieve the best solutions related with the considered problems. Finally, the optimal solutions of the considered problems are analyzed and validated with the proof analysis

IMPROVED EVOLUTIONARY SUPPORT VECTOR MACHINE CLASSIFIER FOR CORONARY ARTERY HEART DISEASE PREDICTION AMONG DIABETIC PATIENTS

Soft computing paves way many applications including medical informatics. Decision support system has gained a major attention that will aid medical practitioners to diagnose diseases. Diabetes mellitus is hereditary disease that might result in major heart disease. This research work aims to propose a soft computing mechanism named Improved Evolutionary Support Vector Machine classifier for CAHD risk prediction among diabetes patients. The attribute selection mechanism is attempted to build with the classifier in order to reduce the misclassification error rate of the conventional support vector machine classifier. Radial basis kernel function is employed in IESVM. IESVM classifier is evaluated through the performance metrics namely sensitivity, specificity, prediction accuracy and Matthews correlation coefficient (MCC) and also compared with existing work and our earlier proposed works

Profitability of Cotton on a Pest Management Continuum in Guntur District of Andhra Pradesh

The plant protection response of farmers in the Guntur district of Andhra Pradesh has been examined with particular reference to the adoption of Bt cotton varieties and IPM components. The farmers have been found to follow a wide range of practices to manage the insect pests in cotton. The use of chemical insecticides has accounted for, about 37 per cent of the total variable costs. No significant reduction in plant protection expenditure has been recorded on adoption of Bt varieties without IPM practices. The adoption of IPM practices, however, has led to reduced use of insecticides and increased profitability. The saving on plant protection chemicals has more than compensated the cost of adopting IPM components. Consequently, the net returns have been found increased considerably from cotton cultivation.Crop Production/Industries,

Phylogenetic Diversity of Bacterial Community Associated with the Marine Sponge Halichondira nigrocutis Collected off Southwest Indian Coast

This study aimed to evaluate the bacterial communities associated with the marine sponge Halichondria nigrocutis present in Indian waters by both cultivation and cultivation-independent techniques. Results using cultivation method showed that bacteria belonging to Bacillus, Acinetobacter and Vibrio spp. to be the predominant groups. Metagenomic study of sponge-associated bacteria by cultivation independent approach, involving cloning and sequencing of the 16S rDNA gene generated sequences that were subjected to phylogenetic analysis. Results demonstrated the community structure to be represented by the phyla Proteobacteria (alpha-, gamma- and delta-classes), Cyanobacteria, Actinobacteria and Firmicutes, with isolates belonging to alpha-proteobacterial group to be predominating. To our knowledge this study appears to be the first to record cultivable and uncultivable bacterial groups associated with H.nigrocutis from Indian waters

Antibacterial Activity of Certain Members of Chlorophyceae From Warangal District, Telangana State, India

Abstract Chloroform and Methanol extracts of three genera of algae (Oedogonium crispum (Hassal) Wittrock, Rhizoclonium hieroglyphicum (Ag)Kuetz. and Spirogyra biformis C-C.Jao.) from fresh water of Warangal District were tested in vitro for their antibacterial activities against two strains of gram positive bacteria (Bacillus cereus and Staphylococcus aureus) and two strains of gram negative bacteria (Klebesiella pneumonia and Samonella typhi) by the disc diffusion method. Chloroform was the best solution for extracting the effective antibacterial materials from the algae used in this investigation, with the exception of O.crispum, for which methanol was the most effective extraction solution. Chloroform extracts of fresh S.biformis and R.heiroglyphicum showed effective results against all test organisms. For control sample observations the gentamycin was used. A significant difference between in an antibacterial activity evaluated chloroform and methanol extracts of each alga under investigation was not observed. In addition, as a result of dried and fresh extract antibacterial activity comparison, it was found that all test organisms were more sensitive to fresh extracts of the algae

Nucleoside modifications in RNA limit activation of 2′-5′-oligoadenylate synthetase and increase resistance to cleavage by RNase L

The interferon-induced enzymes 2′-5′-oligoadenylate synthetase (OAS) and RNase L are key components of innate immunity involved in sensory and effector functions following viral infections. Upon binding target RNA, OAS is activated to produce 2′-5′-linked oligoadenylates (2-5A) that activate RNase L, which then cleaves single-stranded self and non-self RNA. Modified nucleosides that are present in cellular transcripts have been shown to suppress activation of several RNA sensors. Here, we demonstrate that in vitro transcribed, unmodified RNA activates OAS, induces RNase L-mediated ribosomal RNA (rRNA) cleavage and is rapidly cleaved by RNase L. In contrast, RNA containing modified nucleosides activates OAS less efficiently and induces limited rRNA cleavage. Nucleoside modifications also make RNA resistant to cleavage by RNase L. Examining translation in RNase L−/− cells and mice confirmed that RNase L activity reduces translation of unmodified mRNA, which is not observed with modified mRNA. Additionally, mRNA containing the nucleoside modification pseudouridine is translated longer and has an extended half-life. The observation that modified nucleosides in RNA reduce 2-5A pathway activation joins OAS and RNase L to the list of RNA sensors and effectors whose functions are limited when RNA is modified, confirming the role of nucleoside modifications in suppressing immune recognition of RNA