نتایج جستجو برای: fungal disease

تعداد نتایج: 1534134  

Journal: :Cold Spring Harbor perspectives in medicine 2014
Julia R Köhler Arturo Casadevall John Perfect

Few among the millions of fungal species fulfill four basic conditions necessary to infect humans: high temperature tolerance, ability to invade the human host, lysis and absorption of human tissue, and resistance to the human immune system. In previously healthy individuals, invasive fungal disease is rare because animals' sophisticated immune systems evolved in constant response to fungal cha...

2016
Niamh B. O'Hara Joshua S. Rest Steven J. Franks NIAMH B. O’HARA

Fungal disease has important effects in natural and agricultural plant populations; however, we are still uncovering factors that influence severity in these systems. Understanding these factors is especially important because it has been predicted that climate change will increase fungal disease widely as a result of changes in precipitation. Here, we investigate the role of water availability...

2018
Ingvild Nordøy Liv Hesstvedt Cecilie Torp Andersen Haima Mylvaganam Nicola Isabelle Kols Birgit Margrethe Falch Ståle Tofteland Fredrik Müller David William Denning

The aim of this study was to examine the burden of fungal disease in Norway, contributing to a worldwide effort to improve awareness of the needs for better diagnosis and treatment of such infections. We used national registers and actual data from the Departments of Microbiology from 2015 and estimated the incidence and/or prevalence of superficial, allergic and invasive fungal disease using p...

HOSSEIN FOROUTAN, R MASHAYEKHl,

Zygomycosis is a fulminant infection which usually afflicts patients who are immunocompromised by diabetes mellitus, malignancy or immunosuppressive therapy.l This disease is a rare but highly invasive fungal infection which occurs in organ transplant recipients. 2 Mucormycosis confined to the gastrointestinal tract is an uncommon form of the disease. accounting for only seven percent of al...

2016
Jagadeesh D. Pujari

This paper describes automatic detection and classification of visual symptoms affected by fungal disease. Algorithms are developed to acquire and process color images of fungal disease affected on commercial crops like chili, cotton and sugarcane. The developed algorithms are used to preprocess, segment, extract and reduce features from fungal affected parts of a crop. The feature extraction i...

Journal: :Indian Journal of Otolaryngology and Head & Neck Surgery 2017

Journal: :Journal of the Pediatric Infectious Diseases Society 2017

Journal: :Journal of Apicultural Research 2013

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