5,141 research outputs found
Complete phase diagram of DNA unzipping: Eye, Y fork and triple point
No full textWe study the unzipping of double stranded DNA by applying a pulling force at a fraction s (0 leq s leq 1) from the anchored end. From exact analytical and numerical results, the complete phase diagram is presented. The phase diagram shows a strong ensemble dependence for various values of s. In addition, we show the existence of an eye phase and a triple point
Thermodynamics and orientational order in systems of extended gravitating objects. II - Tidal distortions and the interaction pseudopotential
No full textCalculations are made of the tidal distortions and the interaction pseudopotential that describe the orientational states of systems of extended gravitating objects according to the thermodynamic formalism given by Bhattacharjee, Ghosh, and Cowsik. The results of the calculation of the multipole moments induced by tidal distortions are analytic, expressible in terms of a response function, and useful in studying galaxy encounters. The pseudopotential is evaluated for a system of identical objects whose undistorted shape is axisymmetric
Response to “The impact of light rail on congestion in Denver: A reappraisal”
No full textIn a recent issue of the Journal of Transport Geography, an article “The impact of light rail on congestion in Denver: A reappraisal,” authored by Ransom and Keleman (2016) criticized an earlier article that we wrote entitled “The impact of light rail on traffic congestion in Denver,” which appeared in the Journal of Transport Geography in 2012 (Bhattacharjee and Goetz, 2012). We would like to respond to several incorrect statements and mischaracterizations in the Ransom and Keleman article, as well as to clarify the findings from our original study
LPWAN Performance Enhancement for IoT in the Smart Grid
No full textWith the proliferation of IoT devices across the globe, the adoption of IoT related technologies has been increasing rapidly. Newer technologies which fall in the category of Low Power Wide Area Network (LPWAN) have increased this adoption even further. A lot of research is being done in LPWAN licensed band as well as unlicensed band technologies to make them more efficient, such as in terms of power consumption and latency. In this thesis the author has focused on cellular IoT technologies (licensed spectrum LPWAN technologies), to improve the end-to-end behavior. The focus is to see and improve the effect of the device on the network behavior. We have done tests on different networks and went through the 3GPP Specification Release 14 to find possible areas of improvement. Keeping this in mind we have designed a solution to increase the number of pageable devices that can be maintained by the network compared to its original capacity (when not using our solution). This solution can be used to optimize as per the use case, whether to provide lower latency or save energy consumption of the device. To verify that the solution can be used in real life, we have tested it with Stedin critical application device in their substation.Electrical Engineering | Embedded System
A Simple Test for the Absence of Covariate Dependence in Hazard Regression Models
No full textThis paper extends commonly used tests for equality of hazard rates in a two-sample or k-sample setup to a situation where the covariate under study is continuous. In other words, we test the hypothesis that the conditional hazard rate is the same for all covariate values, against the omnibus alternative as well as more specific alternatives, when the covariate is continuous. The tests developed are particularly useful for
detecting trend in the underlying conditional hazard rates or changepoint trend alternatives. Asymptotic distribution of the test statistics are established and small sample properties of the tests are studied. An application to the e¤ect of aggregate Q on corporate failure in the UK shows evidence of trend in the covariate e¤ect, whereas a Cox regression model failed to detect evidence of any covariate effect. Finally, we discuss an
important extension to testing for proportionality of hazards in the presence of individual level frailty with arbitrary distribution
Inflation in mimetic f(R,T) gravity
No full textIn this paper, we employ mimetic f(R,T) gravity coupled with Lagrange multiplier and mimetic potential to yield viable inflationary cosmological solutions consistent with latest Planck and BICEP2/Keck Array data. We present here three viable inflationary solutions of the Hubble parameter (H) represented by H(N)=(AexpβN+BαN)γ, H(N)=(AαN+BlogN)γ, and H(N)=(AeβN+BlogN)γ, where A, β, B, α, γ are free parameters, and N represents the number of e-foldings. We carry out the analysis with the simplest minimal f(R,T) function of the form f(R,T)=R+χT, where χ is the model parameter. We report that for the chosen f(R,T) gravity model, viable cosmologies are obtained compatible with observations by conveniently setting the Lagrange multiplier and the mimetic potential. © 2021 Elsevier B.V
Para-nonylphenol modulates ABCA1 levels in chorionic villous explants from first trimester human placenta
No full textTesting for Proportional Hazards with Unrestricted Univariate Unobserved Heterogeneity
No full textWe develop tests of the proportional hazards assumption, with respect to a continuous covariate, in the presence of unobserved heterogeneity with unknown distribution at the individual observation level. The proposed tests are specially powerful against ordered alternatives useful for modeling non-proportional hazards situations. By contrast to the case when the heterogeneity distribution is known up to finite dimensional parameters, the null hypothesis for the current problem is similar to a test for absence of covariate dependence. However, the two testing problems di¤er in the nature of relevant alternative hypotheses. We develop tests for both the problems against ordered alternatives. Small sample performance and an application to real data highlight the usefulness of the framework and methodology
Bayesian Approaches in Oncology Using R and OpenBUGS
No full textBayesian Approaches in Oncology Using R and OpenBUGS serves two audiences: those who are familiar with the theory and applications of bayesian approach and wish to learn or enhance their skills in R and OpenBUGS, and those who are enrolled in R and OpenBUGS-based course for bayesian approach implementation. For those who have never used R/OpenBUGS, the book begins with a self-contained introduction to R that lays the foundation for later chapters.Many books on the bayesian approach and the statistical analysis are advanced, and many are theoretical. While most of them do cover the objective, the fact remains that data analysis can not be performed without actually doing it, and this means using dedicated statistical software. There are several software packages, all with their specific objective. Finally, all packages are free to use, are versatile with problem-solving, and are interactive with R and OpenBUGS.This book continues to cover a range of techniques related to oncology that grow in statistical analysis. It intended to make a single source of information on Bayesian statistical methodology for oncology research to cover several dimensions of statistical analysis. The book explains data analysis using real examples and includes all the R and OpenBUGS codes necessary to reproduce the analyses. The idea is to overall extending the Bayesian approach in oncology practice. It presents four sections to the statistical application framework:Bayesian in Clinical Research and Sample Size CalcuationBayesian in Time-to-Event Data AnalysisBayesian in Longitudinal Data AnalysisBayesian in Diagnostics Test Statistic
Big Data Analytics in Oncology with R
No full textBig Data Analytics in Oncology with R serves the analytical approaches for big data analysis. There is huge progressed in advanced computation with R. But there are several technical challenges faced to work with big data. These challenges are with computational aspect and work with fastest way to get computational results. Clinical decision through genomic information and survival outcomes are now unavoidable in cutting-edge oncology research. This book is intended to provide a comprehensive text to work with some recent development in the area
- …
