Development and validation of a high throughput UPLC–MS/MS method for simultaneous quantification of esomeprazole,rabeprazole and levosulpiride in human plasma

A high throughput ultra pressure liquid chromatography-mass spectrometry （UPLC-MS/MS） method with good sensitivity and selectivity has been developed and validated for simultaneous quantification of esomeprazole, rabeprazole and levosulpiride in human plasma using lansoprazole as internal standard （IS）. The extraction method based on liquid-liquid extraction technique was used to extract the analytes and IS from of 50 μL of human plasma using methyl tert-butyl ether：ethyl acetate （80：20, v/v）, which offers a high recovery. Chromatographic separation of analytes and IS was achieved on a Hypersil gold C18 column using gradient mobile phase consisting of 2 mM ammonium formate/acetonitrile. The flow rate was set at 0.5 mL/min to elute all the analytes and IS within 1.00 min runtime. Detection of target compounds was performed on a triple quadruple mass spectrometer by multiple reaction monitoring （MRM） mode via positive electrospray ionization （ESI）. Method validation results demonstrated that the developed method has good precision and accuracy over the concentration ranges of 0.1-2000 ng/mL for each analyte. Stability of compounds was established in a battery of stability studies, i.e., bench top, autosampler, dry extract and long-term storage stability as well as freeze-thaw cycles. The validated method has been successfully applied to analyze human plasma samples for application in pharmaco- kinetic studies.

A novel approach for speaker diarization system using TMFCC parameterization and Lion optimization

In audio stream containing multiple speakers, speaker diarization aids in ascertaining "who speak when". This is an unsupervised task as there is no prior information about the speakers. It labels the speech signal conforming to the identity of the speaker, namely, input audio stream is partitioned into homogeneous segments. In this work, we present a novel speaker diarization system using the Tangent weighted Mel frequency cepstral coefficient(TMFCC) as the feature parameter and Lion algorithm for the clustering of the voice activity detected audio streams into particular speaker groups. Thus the two main tasks of the speaker indexing, i.e., speaker segmentation and speaker clustering, are improved. The TMFCC makes use of the low energy frame as well as the high energy frame with more effect, improving the performance of the proposed system. The experiments using the audio signal from the ELSDSR corpus datasets having three speakers, four speakers and five speakers are analyzed for the proposed system. The evaluation of the proposed speaker diarization system based on the tracking distance, tracking time as the evaluation metrics is done and the experimental results show that the speaker diarization system with the TMFCC parameterization and Lion based clustering is found to be superior over existing diarization systems with 95% tracking accuracy.

Automatic Clustering Using Teaching Learning Based Optimization

Finding the optimal number of clusters has remained to be a challenging problem in data mining research community. Several approaches have been suggested which include evolutionary computation techniques like genetic algorithm, particle swarm optimization, differential evolution etc. for addressing this issue. Many variants of the hybridization of these approaches also have been tried by researchers. However, the number of optimal clusters and the computational efficiency has still remained open for further research. In this paper, a new optimization technique known as “Teaching-Learning-Based Optimization” (TLBO) is implemented for automatic clustering of large unlabeled data sets. In contrast to most of the existing clustering techniques, the proposed algorithm requires no prior knowledge of the data to be classified rather it determines the optimal number of partitions of the data “on the run”. The new AUTO-TLBO algorithms are evaluated on benchmark datasets (collected from UCI machine repository) and performance comparisons are made with some well-known clustering algorithms. Results show that AUTO-TLBO clustering techniques have much potential in terms of comparative results and time of computations.

Particle Swarm Optimized Optimal Threshold Value Selection for Clustering based on Correlation Fractal Dimension

The work on the paper is focused on the use of Fractal Dimension in clustering for evolving data streams. Recently Anuradha et al. proposed a new approach based on Relative Change in Fractal Dimension (RCFD) and damped window model for clustering evolving data streams. Through observations on the aforementioned referred paper, this paper reveals that the formation of quality cluster is heavily predominant on the suitable selection of threshold value. In the above-mentionedpaper Anuradha et al. have used a heuristic approach for fixing the threshold value. Although the outcome of the approach is acceptable, however, the approach is purely based on random selection and has no basis to claim the acceptability in general. In this paper a novel method is proposed to optimally compute threshold value using a population based randomized approach known as particle swarm optimization (PSO). Simulations are done on two huge data sets KDD Cup 1999 data set and the Forest Covertype data set and the results of the cluster quality are compared with the fixed approach. The comparison reveals that the chosen value of threshold by Anuradha et al., is robust and can be used with confidence.

A bio-chemical study on liver disorders among Jaundice patients from Coastal Andhra Pradesh,India

Objective:To detect types of liver disorders through biochemical studies in coastal Andhra Pradesh,India.Methods:Serum level of bilirubin(total and direct),serum glutamate oxaloacetate transaminase(SGOT),serum glutamate pyruvate transaminase(SGPT)and alkaline phosphatase(ALP)were measured among the adult men and women from a South Indian district.Standard methodologies were adopted during selection of study participants and collection and analysis of blood samples.Results:It is observed that there is no difference in the levels of bilirubin(total and direct)and ALP in male and female patients.It is observed that there are significant differences in the levels of SGOT and SGPT.Males recorded higher levels than females.Conclusion:A considerable number of patients showed increased levels of total and direct bilirubin,SGOT,SGPY and ALP.The higher levels of SGOT and SGPT among males might be due to their alcoholic habits and among men in this community.The overall liver function abnormalities may be due to dietary habits,mal-absorption,nonalcoholic fatty liver,diabetes mellitus and contaminated drinking water.

Resonance Raman spectroscopy of red blood cells using lie algebraic technique

Raman spectra of oxygenated and deoxygenated functional erythrocytes are calculated by using Lie algebraic technique. The results are obtained by this method is accuracy with the experimental data. So, the algebraic techniques are appropriate to the Raman spectra of red blood cells.

Dielectric and Spontaneous Polarization Studies of a Ferroelectric Chiral Smectic Liquid Crystal

Dielectric relaxation and spontaneous polarization studies have been carried out in a low molar mass organosiloxane liquid crystal, TSi10PPBN4 which displays a wide temperature range of de Vries Smectic A* and chiral Smectic C* phases. The temperature variation of the permittivity and dielectric loss studied are found to have anomalous variations in the vicinity of the phase transitions. The frequency variation of permittivity and dielectric loss are also studied in the de Vries Smectic A* and Smectic C* phases. The relaxation frequency, fR is found to decrease with decreasing temperature. Temperature variation of fR is found to follow an Arrhenius shift from which the activation energy is estimated. The thermal variation of the spontaneous polarization, Ps is measured using the polarization reversal technique in the Smectic C* phase. Ps increases initially, reaches a peak value and then drops drastically in the vicinity of the SmC*-SmA*de Vries phase transition.

Software Reuse in Cardiology Related Medical Database Using K-Means Clustering Technique

Software technology based on reuse is identified as a process of designing software for the reuse purpose. The software reuse is a process in which the existing software is used to build new software. A metric is a quantitative indicator of an attribute of an item/thing. Reusability is the likelihood for a segment of source code that can be used again to add new functionalities with slight or no modification. A lot of research has been projected using reusability in reducing code, domain, requirements, design etc., but very little work is reported using software reuse in medical domain. An attempt is made to bridge the gap in this direction, using the concepts of clustering and classifying the data based on the distance measures. In this paper cardiologic database is considered for study. The developed model will be useful for Doctors or Para-medics to find out the patient’s level in the cardiologic disease, deduce the medicines required in seconds and propose them to the patient. In order to measure the reusability K-means clustering algorithm is used.

A Study on Vibrational Spectra of PH3 and NF3: An Algebraic Approach

With the new theoretical approach i.e. lie algebraic approach, we have calculated the infrared spectra of Phosphine in the range from 3000 cm-1 to 9500 cm-1 and Nitrogen Trifluoride in the range from 900 cm-1 to 4500 cm-1. The model Hamiltonian, so constructed, seems to describe the P-H and N-F stretching modes accurately with only four numbers of parameters.

A nano-plasmonic HMIM waveguide based concurrent dual-band BPF using circular ring resonator

This article analyzes the transmission line characteristics of plasmonic hybrid metal insulator metal(HMIM) wave-guide, circular ring resonator(CRR) based dual-band band-pass filters with two transmission poles in both pass-bands in the optical regime using coupled line feed. The transmission line characteristics of an HMIM waveguide, such as characteristic impedance(Z_(PV)), effective refractive index(n_(eff)) and propagation length(L_(spp)), have been obtained by using full wave simulation.

GENETIC VARIATION OF ABO AND RH(D) BLOOD GROUPS AMONG THE BRAHMINS OF COASTAL ANDHRA PRADESH,INDIA

The paper reported the phenotype and allele frequency distribution of ABO and Rh(D) blood groups among Brahmin,an endogamous population from Visakhapatnam district,Andhra Pradesh,India.Blood samples of 100 unrelated Brahmin individuals were screened for ABO and Rh(D) blood groups.The order of occurrence of ABO phenotypes was O>A>B.The corresponding allele frequencies were 0.530,0.315,and 0.155,respectively.The allele frequency of D (0.990) was more than d (0.010).The results were compared with the other caste population to understand the population variations.