A BAYESIAN APPROACH TO STUDY THE RISK VARIABLES FOR TUBERCULOSIS OCCURRENCE IN DOMESTIC AND WILD UNGULATES IN SOUTH CENTRAL SPAIN

A Bayesian approach to study the risk variables for tuberculosis occurrence in domestic and wild ungulates in South Central Spain

Abstract Background Bovine tuberculosis (bTB) is a chronic infectious disease mainly caused by Mycobacterium bovis.Although eradication is a priority for the European authorities, bTB remains active or even increasing in many countries, causing significant economic losses.The integral consideration of epidemiological factors is crucial to more cost

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Navigating the aftermath of the COVID-19 pandemic: unpacking food insecurity, coping strategies, and associated factors among informal workers in Addis Ababa, Ethiopia

The COVID-19 pandemic, a significant and potentially catastrophic biological threat, has triggered systemic breakdowns.This study investigates the post-pandemic landscape, focusing on food security and coping strategies among informal workers in Addis Ababa, Ethiopia.Our study used a mixed explanatory research design, incorporating the Household Fo

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Iterative Frequency-Domain Channel Estimation and Equalization for Ultra-Wideband Systems with Short Cyclic Prefix

In impulse radio ultra-wideband (IR-UWB) systems where the channel lengths are on the order of a few hundred taps, conventional use of frequency-domain (FD) processing for channel estimation and equalization may not be feasible because the need to add a cyclic prefix (CP) to each block causes a significant reduction in the Phone Case spectral effic

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