LSRR-LA: AN ANISOTROPY-TOLERANT LOCALIZATION ALGORITHM BASED ON LEAST SQUARE REGULARIZED REGRESSION FOR MULTI-HOP WIRELESS SENSOR NETWORKS

LSRR-LA: An Anisotropy-Tolerant Localization Algorithm Based on Least Square Regularized Regression for Multi-Hop Wireless Sensor Networks

As is well known, multi-hop range-free localization algorithms demonstrate pretty good performance in isotropic networks in which sensor nodes distribute evenly and densely.However, these algorithms are easily affected by network topology, causing a significant decrease in positioning accuracy.To improve the localization performance in anisotropic

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Frontloading selectivity: A third way in scientific publishing?

Chopsaw Blade Prestigious scientific journals traditionally decide which articles to accept at least partially based on the results of research.This backloaded selectivity enforces publication bias and encourages authors to selectively report their most persuasive findings, even when they are misleading, biased, and unreliable.One answer to backloa

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Molecular medicine techniques in the detection of viral hepatitis

Viral hepatitis is a major concern in the public health scenario which has been the root cause of serious adverse events affecting the human population.Molecular diagnostics has paved the way for an incredible role in the advancement of the prognosis and the diagnosis of viral hepatitis.Significant improvements and modifications in the techniques h

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Detection, quantification and genotyping of Herpes Simplex Virus in cervicovaginal secretions by real-time PCR: a cross sectional survey

Abstract Background Herpes Simplex Virus (HSV) Genital Ulcer Disease (GUD) is an important public health problem, whose interaction with HIV results in mutually enhancing epidemics.Conventional methods for detecting HSV tend to be slow and insensitive.We designed a rapid PCR-based assay to quantify and type HSV in cervicovaginal Personal Care lavag

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