Analysis & design of data farming algorithm for cardiac patient data

Data farming is a process to grow data by applying various statistical, predictions, machine learning and data mining approach on the available data. As data collection cost is high so many times data mining projects use existing data collected for various other purposes, such as daily collected data to process and data required for monitoring & control. Sometimes, the dataset available might be large or wide data set and sufficient for extraction of knowledge but sometimes the data set might be narrow and insufficient to extract meaningful knowledge or the data may not even exist. Mining from wide datasets has received wide attention in the available literature. Many models and algorithms for data reduction & feature selection have been developed for wide datasets. Determining or extracting knowledge from a narrow data set (partial availability of data) or in the absence of an existing data set has not been sufficiently addressed in the literature. In this paper we propose an algorithm for data farming, which farm sufficient data from the available little seed data. Classification accuracy of J48 classification for farmed data is achieved better than classification results for the seed data, which proves that the proposed data farming algorithm is effective

Visualization of Post-Processed CFD Data in a Virtual Environment

This paper discusses the development of a virtual reality (VR) interface for the visualization of Computational Fluid Dynamics (CFD) data. The application, VR-CFD, provides an immersive and interactive graphical environment in which users can examine the analysis results from a CFD analysis of a flow field in three-dimensional space. It has been tested and implemented with virtual reality devices such as the C2, head mounted display (HMD) and desktop VR. The application is designed to read PLOT3D structured grid data and to display the flow field parameters using features such as streamlines, cutting planes, iso-surfaces, rakes, vector fields and scalar fields. Visualization Toolkit (VTK), a data visualization library, is used along with OpenGL and the C2 VR interface libraries, to develop the application. Analysts and designers have used VRCFD to visualize and understand complex three-dimensional fluid flow phenomena. The combination of three-dimensional interaction capability and the C2 virtual reality environment has been shown to facilitate collaborative discussions between analysts and engineers concerning the appropriateness of the CFD model and the characteristics of the fluid flow

A cross-sectional study to determine sex-wise prevalence of obesity in adults of Kashmiri population

Background: Aim of current study was to determine the prevalence of obesity in both sexes in persons aged 18-45 years.Methods: Multistage and multiphasic sampling technique was utilized in this study to screen the obese subjects of  both males and females based on WHO classification of obesity according to BMI of 18-45 years of age. Each household was visited and only the subjects having age of 18-45 years were included in this study and this comprised of 5107 subjects, then identified obese cases with the help of height and weight techniques. Only those people who had simple obesity were included in the study. People having secondary obesity, drug induced obesity and pregnant ladies were excluded from this study. The data was collected and analysed using statistical software and chi square and proportional statistical test were applied.Results: Out of 5107 screened population, 2652 were males and 2455 were females and the prevalence of male obesity in study population is 6.41% and that of females is 7.74%.Conclusion: The sex has a significant impact on obesity. We reported in our study a prevalence of obesity is more in females as compared to males. A lack of physical activity as well as low frequency of employment makes females more susceptible to obesity.

NT‐pro BNP—A marker for worsening respiratory status and mortality in infants and young children with pulmonary hypertension

AimTo evaluate predictors of morbidity and mortality in pediatric patients with pulmonary hypertension (PH), laboratory and echocardiographic measures of PH were analyzed.MethodsA retrospective review of all infants and children < 2 years of age with PH from January 2011 to August 2016 was conducted. Correlations were determined using Spearman’s rank correlation coefficients. Differences in characteristics between survivors and nonsurvivors were analyzed and Kaplan‐Meier survival curves were generated.ResultsOf 56 patients, the majority were extremely premature; of African American ethnicity; and had bronchopulmonary dysplasia. Patients who died were more likely to have underlying congenital heart disease; have a higher increase in the concentration of carbon dioxide in the blood (pCO2) with a corresponding greater mean percentage decrease in pH and percentage rise in NT‐pro BNP during PH exacerbations; more likely to have been on medications for pulmonary hypertension; and have a higher RVSP/SBP (%) ratio and S/D ratio. There were positive correlations between percentage rise in NT‐pro BNP and pCO2; NT‐pro BNP and RVSP/SBP (%) ratio; and RVSP/SBP (%) ratio and S/D ratio.ConclusionsInfants and young children with pulmonary hypertension have increased morbidity and mortality. NT‐pro BNP is a useful biomarker for both respiratory exacerbations and mortality, and RVSP/SBP (%) ratio and S/D ratio are echocardiographic identifiers for increased mortality.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/145495/1/chd12601.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/145495/2/chd12601_am.pd

Machiavellianism, Job Autonomy, and Counterproductive Work Behaviouramong Indian Managers

The present study explored the relationship between Machiavellianism and counterproductive work behaviour (CWB) through the lens of the social exchange theory. The present research further aimed at exploring the relationship between the two by introducing job autonomy as the mediator following trait activation theory. The Machiavellian personality scale was used to assess Machiavellianism, whereas a job autonomy scale was used to assess job autonomy, and counterproductive work behaviour was assessed with the help of the CWB questionnaire. Data was analysed using SPSS version 21 and Smart PLS version 2. Results showed that Machiavellianism is positively associated with counterproductive work behaviour and job autonomy did not act as a moderator in the relationship between the two

PennyLane: Automatic differentiation of hybrid quantum-classical computations

PennyLane is a Python 3 software framework for optimization and machine learning of quantum and hybrid quantum-classical computations. The library provides a unified architecture for near-term quantum computing devices, supporting both qubit and continuous-variable paradigms. PennyLane's core feature is the ability to compute gradients of variational quantum circuits in a way that is compatible with classical techniques such as backpropagation. PennyLane thus extends the automatic differentiation algorithms common in optimization and machine learning to include quantum and hybrid computations. A plugin system makes the framework compatible with any gate-based quantum simulator or hardware. We provide plugins for Strawberry Fields, Rigetti Forest, Qiskit, Cirq, and ProjectQ, allowing PennyLane optimizations to be run on publicly accessible quantum devices provided by Rigetti and IBM Q. On the classical front, PennyLane interfaces with accelerated machine learning libraries such as TensorFlow, PyTorch, and autograd. PennyLane can be used for the optimization of variational quantum eigensolvers, quantum approximate optimization, quantum machine learning models, and many other applications.Comment: Code available at https://github.com/XanaduAI/pennylane/ . Significant contributions to the code (new features, new plugins, etc.) will be recognized by the opportunity to be a co-author on this pape

Genetic diversity analysis in the Hypericum perforatum populations in the Kashmir valley by using inter-simple sequence repeats (ISSR) markers

Assessment of genetic variability among the Hypericum perforatum populations is critical to the development of effective conservation  strategies in the Kashmir valley. To obtain accurate estimates of genetic diversity among and within populations of H. perforatum, inter-simple sequence repeats (ISSR) markers were used. The study was aimed to check, whether ISSR fingerprinting may be a useful tool for studying genetic variations among H. perforatum populations in the Kashmir valley (India). A total of 15 ISSR primers were tested with the 20 genotypes of H. perforatum. The ten informative primers were selected and used to evaluate the degree of polymorphism and genetic relationships within and among all the H. perforatum populations. ISSR of 20 genotypes analysis yielded 98 fragments that could be scored, of which 71 were polymorphic, with an average of 7.1 polymorphic fragments per primer. Number of amplified fragments varied in size from 150 to 1650 bp. Percentage of polymorphism ranged from 60% to a maximum of 100%. Resolving power ranged from a minimum of 7.7 to a maximum of 14.3. Shannon indexes ranges from 0.166 to 0.389 with an average of 0.198 and Nei’s genetic diversity (h) ranges from 6.98 to 9.8. Estimated value of gene flow (Nm = 0.579) indicated that there was limited gene flow among the populations. The genetic diversity (Ht) within the population of 0.245 was clearly higher than that of among population genetic diversity (Hs= 0.115), indicating an out-crossing predominance in the studied populations. Analysis of molecular variance by ISSR markers indicated that over half of the total variation in the studied populations (58%) could be accounted for by differences among the 8 divisions, with a further 42% being accounted for by the variation among populations within a division.The dendrogram grouping the populations by unweighted pair-group method with arithmeticaverages (UPGMA) method revealed eight main clusters. In conclusion, combined analysis of ISSR markers and hypericin content is an optimal approach for further progress and breeding programs.Keywords: Hypericum perforatum (St. John's Wort), inter-simple sequence repeats (ISSR) markers, unweighted pair-group method with arithmetic averages (UPGMA), Nei’s genetic diversityAfrican Journal of Biotechnology, Vol. 13(1), pp. 18-31, 1 January, 201