Data Base creation and International Format for the exchange of Bibliographical Information

Discusses some of the definitions pertaining to the concept of data base. Outlines briefly the evolutionary pattern of data base concept. Considers some generic principles involved in data base design, delineating the problems involved in its creation. Explains the basic features of a bibliographical format. States that. standardisation in bibliographical format is essential for proper exploitation and exchange of information in the context of proliferation of machine-readable data bases in Science and Technology

Design, development and performance study of six-gap glass MRPC detectors

The Multigap Resistive Plate Chambers (MRPCs) are gas ionization detectors with multiple gas sub-gaps made of resistive electrodes. The high voltage (HV) is applied on the outer surfaces of outermost resistive plates only, while the interior plates are left electrically floating. The presence of multiple narrow sub--gaps with high electric field results in faster signals on the outer electrodes, thus improving the detector's time resolution. Due to their excellent performance and relatively low cost, the MRPC detector has found potential application in Time-of-Flight (TOF) systems. Here we present the design, fabrication, optimization of the operating parameters such as the HV, the gas mixture composition, and, performance of six--gap glass MRPC detectors of area 27cm $\times$ 27 cm, which are developed in order to find application as trigger detectors, in TOF measurement etc. The design has been optimized with unique spacers and blockers to ensure a proper gas flow through the narrow sub-gaps, which are 250 $\mu$m wide. The gas mixture consisting of R134A, Isobutane and SF$_{6}$, and the fraction of each constituting gases has been optimized after studying the MRPC performance for a set of different concentrations. The counting efficiency of the MRPC is about 95% at $17.9$ kV. At the same operating voltage, the time resolution, after correcting for the walk effect, is found to be about $219$ ps.Comment: Revised version with 15 pages, 14 figures, 2 tables. Accepted for publication in the European Physical Journal

GENTAMICIN POPULATION PHARMACOKINETICS IN INDIAN PEDIATRIC PATIENTS

Objective: The objective of this study was to characterize gentamicin population pharmacokinetics (PKs) in Indian pediatric patients.Methods: Population PK analysis was performed with nonlinear mixed-effect model software. The data set was inspected using both first order (FO)and FO conditional estimate (FOCE) methods by the inclusion of both patient and pathological conditions.Results: A total of 26 patients were involved in this study with 54 observations. The patient covariates, including body weight, gender, age, andcreatinine clearance (CLCR), were analyzed in a stepwise fashion to identify their potential influences on gentamicin PKs. The final modelgives the clearance (CL) and volume of distribution (V) by FO method as CL=θ1*(CLCR/35.14)+θ3*(WT/14.25)+θ5*(AGE/6.14)*EXP(θ1),V=θ2*(WT/14.25)+θ4*(CLCR/35.14)+θ6*(AGE/6.14)*EXP(θ2) and by FOCE method as CL=θ1*(CLCR/35.14+)θ3*(AGE/6.14)*EXP(θ1),V=θ2*(WT/14.25)+θ4*(CLCR/35.14)+θ6*(AGE/6.14)*EXP(θ2).Conclusion: The final model estimates of CL and V were 0.0014 L/hr/kg and 0.646 L/kg, respectively, and by FOCE method were 0.0014E-06 L/hr/kgand 0.774 L/kg, respectively. These parameters will be helpful in individualizing the loading and maintenance doses in pediatric patients.Keywords: Population pharmacokinetics, Gentamicin, Nonlinear mixed-effect model, Pediatrics

Chromatic polynomials and network reliability

AbstractIn this paper, we introduce and study an extension of the chromatic polynomial of a graph. The new polynomial, determined by a graph G and a subset K of points of G, coincides with the classical chromatic polynomial when K is the set of all points of G. The main theorems in the present paper include analogues of the standard axiomatic characterization and Whitney's topological characterizations of the chromatic polynomial, and the theorem of Stanley relating the chromatic polynomial to the number of acylic of G. The work in this paper was stimulated by important connections between the chromatic polynomial and the all-terminal network reliability problem, and by recent work of Boesch, Satyanarayana, and Suffel on a graph invariant related to the K-terminal reliability problem. Several of the Boesch, Satyanarayana, and Suffel are derived as corollaries to the main theorems of the present paper

Issues of K Means Clustering While Migrating to Map Reduce Paradigm with Big Data: A Survey

In recent times Big Data Analysis are imminent as essential area in the field of Computer Science. Taking out of significant information from Big Data by separating the data in to distinct group is crucial task and it is beyond the scope of commonly used personal machine. It is necessary to adopt the distributed environment similar to map reduce paradigm and migrate the data mining algorithm using it. In Data Mining the partition based K Means Clustering is one of the broadly used algorithms for grouping data according to the degree of similarities between data. It requires the number of K and initial centroid of cluster as input. By surveying the parameters preferred by algorithm or opted by user influence the functionality of Algorithm. It is the necessity to migrate the K means Clustering on MapReduce and predicts the value of k using machine learning approach. For selecting the initial cluster the efficient method is to be devised and united with it. This paper is comprised the survey of several methods for predicting the value of K in K means Clustering and also contains the survey of different methodologies to find out initial center of the cluster. Along with initial value of k and initial centroid selection the objective of proposed work is to compact with analysis of categorical data

On Interval-Valued Intuitionistic Fuzzy Hyper BCK-Ideals of Hyper BCK Algebras

In this paper, we apply the concept of an interval-valued intuitionistic fuzzy set to hyper BCK-ideals in hyper BCK-algebras. The notion of an interval-valued intuitionistic fuzzification of (strong, weak, s-weak) hyper BCK-ideals is introduced, and related properties are investigated. Characterizations of an interval-valued intuitionistic fuzzification of hyper BCK-ideals are established

PSO Optimized CNN-SVM Architecture for Covid -19 Classification

This paper presents a hybrid model that utilizes PSO particle swarm optimization, Convolution Neural Networks (CNN) and (SVM) Support Vector Machine architecture for recognition of Covid19.The planned model extracts optimized structures with particle swarm optimization then passes to Convolution Neural Network for automatic feature extraction, while the SVM serves as a Multi classifier. The dataset comprises Covid 19, Pneumonia and Normal Chest X-Ray pictures used to hone and evaluate the suggested algorithm. The most distinct traits are automatically extracted by the algorithm from these photographs. Experimental results show that the suggested framework is effective, with an average recognition accuracy of 97.42%.The most successful SVM Kernel was RBF