We propose a machine learning approach, based on analytical inference in Gaussian process regression (GP), to locate users from their uplink received signal strength (RSS) data in a distributed massive multiple-input-multiple-output setup.The training RSS data is considered noise-free, while the test RSS data is assumed to be noisy due to shadowing
Issues to be considered when implementing the standardized tuberculosis contact investigation in a setting with routine tuberculosis contact invitation: an experience from the Kisumu County, Western Kenya, 2014-2015
INTRODUCTION: Persons in close proximity with Tuberculosis (TB) patients are at risk of TB infection.Contact investigation (CI) has not been 9002nc scaled up to full implementation by the National Tuberculosis Program in Kenya.As part of a TB household CI study, we documented key concerns that the TB program in Kenya need to consider when transitio
Dupilumab-Associated Blepharoconjunctivitis: Clinical and Morphological Aspects
Purpose: To describe the clinical and morphologic changes in the ocular surface microstructure of patients affected with moderate-to-severe Atopic Dermatitis (AD) before and during Dupilumab treatment.Methods: This is a monocentric observational study on thirty-three patients affected with AD before and during Dupilumab treatment.All patients under