Radiative stability of neutrino-mass textures

Neutrino-mass textures proposed at high-scales are known to be unstable against radiative corrections especially for nearly degenerate eigen values. Within the renormalization group constraints we find a mechanism in a class of gauge theories which guarantees reproduction of any high-scale texture at low energies with radiative stability. We also show how the mechanism explains solar and atmospheric neutrino anomalies through the bimaximal texture at high scale.Comment: 4 pages REVTEX, 1 Postscript fi

Seesaw Neutrino Masses with Large Mixings from Dimensional Deconstruction

We demonstrate a dynamical origin for the dimension-five seesaw operator in dimensional deconstruction models. Light neutrino masses arise from the seesaw scale which corresponds to the inverse lattice spacing. It is shown that the deconstructing limit naturally prefers maximal leptonic mixing. Higher-order corrections which are allowed by gauge invariance can transform the bi-maximal into a bi-large mixing. These terms may appear to be non-renormalizable at scales smaller than the deconstruction scale.Comment: Revised version published in PR

Hybrid fuzzy PI controlled multi-input DC/DC converter for electric vehicle application

Power electronic interface with its effective control scheme plays a major role in the utilization of energy sources for electric vehicle application. For this purpose, a hybrid fuzzy PI based control scheme for a multiple input converter (MIC) topology is proposed. The proposed hybrid fuzzy PI controller includes a conventional PI controller at steady state and fuzzy PI at transient state. Also, the proposed control design helps in tracking a predefined speed profile to have complete realization of electric vehicle. Detailed simulation study and performance comparisons with conventional controller are performed. The results show that the developed control scheme is robust providing bidirectional power management, fast tracking capability with less steady state error, better dynamic response by enhancing the flexibility and proper utilization of energy sources. Simulation in MATLAB/SIMULINK environment is carried out to verify the performance of the multi-input converter with the developed control scheme. An experimental set-up is constructed to validate the same

An Application of Analytic Hierarchy Process in Vehicle Routing Problem

Vehicle Routing Problem (VRP) facilitates on finding a set of trips, one for each vehicle and to deliver known quantities of goods from a single depot to a set of geographically dispersed customers. This paper proposes an effective hybrid approach that combines customer prioritization with the Clarke and Wright's savings algorithm to solve the capacitated vehicle routing problem. In this model, in addition to traditional objective of resolving vehicle routing problem, the customer satisfaction have been taken into account. Initially, all the customers have been clustered with the help of Clarke and Wright's saving algorithm and later the customers have been prioritized on assigning optimal route using Analytic Hierarchy Process (AHP) as a Multi Criteria Decision Making (MCDM) tool. The highlight of this research is to diminish the total transportation cost without violating the vehicle capacity and ultimately improve the customer satisfaction

INTERGENUS PROTOPLAST FUSION STUDIES BETWEEN MARINE STREPTOMYCES SP. ANS4 AND ESCHERICHIA COLI

Objective: To study the intergenus protoplast fusion bioactive marine Streptomyces sp ANS4 with the Escherichia coli for the strain improvement. Methods: Protoplast of both the organisms was prepared by lysozyme treatment and fused using polyethylene glycol (PEG). Fusant colonies were regenerated using regeneration medium where all the regenerated colonies are powdery in consistency. Microscopic, cultural, physiological, enzymatic and antibiotic susceptibility characteristics of one fusant culture and both the parent cultures are studied. Growth curve and bioactive metabolite production by both the parent and fusant cultures was also studied. Results: oval shaped protoplasts of both the parent cultures are clearly seen under the phase contrast microscope. All the colonies developed after protoplast fusion on regeneration medium looked like one of the parent culture Streptomyces sp ANS4. One among the 10 antagonistic colonies selected from the regeneration medium was expressed the characteristics of either or both of the parental cultures and certain new characteristics. The results of growth curve study showed that the fusant culture possess 10 hours reduction in attaining stationary phase compared to parent Streptomyces sp ANS4. The antibiotic activity of fusant culture was also higher than the parent cultures. Conclusion: The intergenus protoplast fusion between the Streptomyces sp ANS4 and the E.coli strain results in the reduction in time for secondary metabolite production and also increase in antimicrobial activity. This suggested that the potential bioactive compounds may be obtained in increased quantity from the fusant culture with lesser fermentation period

SYMPTOMATOLOGY OF FEMALE PATIENTS ATTENDING MOBILE MEDICAL CLINICS IN A RURAL BLOCK IN TAMILNADU

Objectives: The objectives of the study were to find out the prevalence of symptoms not elsewhere classified†under the International Classification of Diseases, Tenth Revision, Clinical Modification among the female patients attending mobile medical clinics.Methods: A cross-sectional study was carried out among 7,124 female patients who attended weekly mobile medical clinics in a rural block in Tamil Nadu. Sociodemographic variables, symptomatology, patient history, and clinical examination details were collected using a pre-tested structured questionnaire.Results: The five common symptoms affecting the study population were myalgia (18.3%), nasal congestion (13.6%), headache (13.1%), lumbar pain (12.5%), and knee pain (9.3%). The systems commonly affected among the female patients were in the order of general symptoms and signs (R50-R69), circulatory and respiratory systems (R00-R09), and Nervous and Musculoskeletal Systems (R25-R29). In the age group of 10–19 years and 20–39 years, the most common symptom was headache (25.2% and 18.8%, respectively). In the age group of 40–59 years and 60 years and above, it was myalgia (24.2% and 32.3%, respectively).Conclusion: As pain being most common symptoms, an appropriate strategy and guidelines have to be developed to manage the problem of pain at primary care level

One pion events by atmospheric neutrinos: A three flavor analysis

We study the one-pion events produced via neutral current (NC) and charged current (CC) interactions by the atmospheric neutrinos. We analyze the ratios of these events in the framework of oscillations between three neutrino flavors. The ratios of the CC events induced by $\nu_e$ to that of the NC events and a similar ratio defined with $\nu_\mu$ help us in distinguishing the different regions of the neutrino parameter space.Comment: 14 pages, 4 figures (separate postscript files

Achieving Efficient Strong Scaling with PETSc using Hybrid MPI/OpenMP Optimisation

The increasing number of processing elements and decreas- ing memory to core ratio in modern high-performance platforms makes efficient strong scaling a key requirement for numerical algorithms. In order to achieve efficient scalability on massively parallel systems scientific software must evolve across the entire stack to exploit the multiple levels of parallelism exposed in modern architectures. In this paper we demonstrate the use of hybrid MPI/OpenMP parallelisation to optimise parallel sparse matrix-vector multiplication in PETSc, a widely used scientific library for the scalable solution of partial differential equations. Using large matrices generated by Fluidity, an open source CFD application code which uses PETSc as its linear solver engine, we evaluate the effect of explicit communication overlap using task-based parallelism and show how to further improve performance by explicitly load balancing threads within MPI processes. We demonstrate a significant speedup over the pure-MPI mode and efficient strong scaling of sparse matrix-vector multiplication on Fujitsu PRIMEHPC FX10 and Cray XE6 systems

Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages

We propose an efficient nonparametric strategy for learning a message operator in expectation propagation (EP), which takes as input the set of incoming messages to a factor node, and produces an outgoing message as output. This learned operator replaces the multivariate integral required in classical EP, which may not have an analytic expression. We use kernel-based regression, which is trained on a set of probability distributions representing the incoming messages, and the associated outgoing messages. The kernel approach has two main advantages: first, it is fast, as it is implemented using a novel two-layer random feature representation of the input message distributions; second, it has principled uncertainty estimates, and can be cheaply updated online, meaning it can request and incorporate new training data when it encounters inputs on which it is uncertain. In experiments, our approach is able to solve learning problems where a single message operator is required for multiple, substantially different data sets (logistic regression for a variety of classification problems), where it is essential to accurately assess uncertainty and to efficiently and robustly update the message operator.Comment: accepted to UAI 2015. Correct typos. Add more content to the appendix. Main results unchange