Periodic and Localized Solutions of the Long Wave-Short Wave Resonance Interaction Equation

In this paper, we investigate the (2+1) dimensional long wave-short wave resonance interaction (LSRI) equation and show that it possess the Painlev\'e property. We then solve the LSRI equation using Painlev\'e truncation approach through which we are able to construct solution in terms of three arbitrary functions. Utilizing the arbitrary functions present in the solution, we have generated a wide class of elliptic function periodic wave solutions and exponentially localized solutions such as dromions, multidromions, instantons, multi-instantons and bounded solitary wave solutions.Comment: 13 pages, 6 figure

Parallel hybrid textures of lepton mass matrices

We analyse the parallel hybrid texture structures in the charged lepton and the neutrino sector. These parallel hybrid texture structures have physical implications as they cannot be obtained from arbitrary lepton mass matrices through weak basis transformations. The total sixty parallel hybrid texture structures can be grouped into twelve classes, and all the hybrid textures in the same class have identical physical implications. We examine all the twelve classes under the assumption of non-factorizable phases in the neutrino mass matrix. Five out of the total twelve classes are found to be phenomenologically disallowed. We study the phenomenological implications of the allowed classes for 1-3 mixing angle, Majorana and Dirac-type $CP$ violating phases. Interesting constraints on effective Majorana mass are obtained for all the allowed classes.Comment: Physical Review D (To appear

Diagnosing Heart Diseases For Type 2 Diabetic Patients By Cascading The Data Mining Techniques

Motivated by the world-wide increasing mortality of heart disease patients each year, researchers have been using data mining techniques to help health care professionals in the diagnosis of heart disease. Heart disease is the leading cause of death in the world over the past 10 years. Researchers have been using several data mining techniques to help health care professionals in the diagnosis of heart disease. To review the primary prevention studies that focused on the development, validation and impact assessment of a heart disease risk model, scores or rules that can be applied to patients with type 2 diabetes. Efficient predictive modeling is required for medical researchers and practitioners. Attribute values measurement using entropy and information gain parameters. This study proposes Hybrid type 2 diabetes Prediction Model which uses Improved Fuzzy C Means (IFCM) clustering algorithm aimed at validating chosen class label of given data in which incorrectly classified instances are removed and. pattern extracted from original data. Support Vector Machine (SVM) algorithm is used to build the final classifier model by using the k-fold cross-validation method. The aim of this paper is to highlight all the techniques and risk factors that are considered for diagnosis of heart disease. This paper will provide a roadmap for researchers seeking to understand existing automated diagnosis of heart disease

Effect Of Alloxan Mixed Diet On Blood Parameters And Its Management By Silkworm Pupae Meal Diet In Common Carp

This paper presents a brief overview on the entry of alloxan into foods and its fatal link to blood parameter in carp. The management of silkworm pupae meal diet induced Alloxan blood parameter in carp. Five series of experiments were conducted to investigate the induced alloxan on blood parameter studied In the 8th series of experiments, utilization of Silkworm pupae meal diets on the reduction of alloxan toxicity on blood parameter, were estimated. The increase in the levels of alloxan decreases the Hb and RBC level where as WBC, Esr and Ht increases during the exposure period. Then treatment with silkworm pupae meal diet there an opposite trend was obtained. The administration of silkworm pupae meal might be beneficial for the restoration of hematological parameters, in the present study have revealed that incorporate silkworm pupae meal diet reduced the blood nonfunctional plasma enzymes and liver function parameters in Alloxan induced hyperglycemia in common carp. On the other hand Alloxan-induced diabetes could increase the liver enzyme levels. The increase in these enzymes may occur due to peroxidation reactions, arising from Alloxan biotransformation during diabetes and these reactions may inflict oxidative injury to cellular components. Our data shows that the silkworm is a good edible resource of natural Silkworm pupae meal diet with hypoglycemic activity which retards the ill effect of alloxan induced hyperglycemia

Giant single crystalline Au microplates

Single crystalline Au(111) surface is the most sought after platform for studying molecular and other inter-esting phenomena. Here we report the synthesis of giant Au(111) single crystalline microplates along with their prototype applications. The single-crystal surfaces are atomically flat and possess areas extending over ∼100,000 μm2. The synthesis method is simple involv-ing a one-step thermolysis process, i.e. heating on a hot plate, of a alkylammonium salt, making the process flow easy and scalable for mass production. Other interesting anisotropic structures such as nanorods and microstars are also obtained by slightly varying the synthetic conditions