POWERFUL TESTS FOR MULTI-MARKER ASSOCIATION ANALYSIS USING ENSEMBLE LEARNING.


Exploring the safety and quality of mobile X-ray imaging in a new infectious disease biocontainment unit: an in situ simulation and video-reflexive study

Objectives During a precommissioning inspection of a new biocontainment centre, radiographers noted structural features of quarantine rooms that could compromise staff and patient safety and the X-ray image quality, even after significant modifications had been made to an earlier radiography protocol.The aim of this study was to explore the safety

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Multiobjective distribution system operation with demand response to optimize solar hosting capacity, voltage deviation index and network loss

Abstract In this research, demand response impact on the hosting capacity of solar photovoltaic for distribution system is investigated.The suggested solution model is formulated and presented as a tri-objective optimization that Me 4th of July Dress consider maximization of solar PV hosting capacity (HC), minimization of network losses (Loss) and

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Multidrug-resistant tuberculosis

Me 4th of July Dress Abstract Background With almost 9 million new cases each year, tuberculosis remains one of the most feared diseases on the planet.Led by the STOP-TB Partnership and WHO, recent efforts to combat the disease have made considerable progress in a number of countries.However, the emergence of mutated strains of Mycobacterium tuberc

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Metaheuristic Optimized Edge Detection for Recognition of Concrete Wall Cracks: A Comparative Study on the Performances of Roberts, Prewitt, Canny, and Sobel Algorithms

Crack detection is a crucial Ski de fond - Equipement - Bottes - Combi task in the periodic survey of high-rise buildings and infrastructure.Manual survey is notorious for low productivity.This study is aimed at establishing an image processing-based method for detecting cracks on concrete wall surfaces in an automatic manner.The Roberts, Prewitt,

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