Results 151 to 160 of about 1,938 (186)

Assessing the de novo assemblers: a metaviromic study of apple and first report of citrus concave gum-associated virus, apple rubbery wood virus 1 and 2 infecting apple in India. [PDF]

open access: yesBMC Genomics
Khan ZA   +10 more
europepmc   +1 more source

Transcriptome Analysis of Apple Leaves with Apple Necrotic Mosaic Virus-Associated Mosaic Symptoms. [PDF]

open access: yesPlants (Basel)
Gao D   +9 more
europepmc   +1 more source

Giant virus creates subcellular environment to overcome codon– tRNA mismatch

open access: yes
Zhang R   +7 more
europepmc   +1 more source

Antigenic and genetic analyses of isolate APMV/wigeon/Italy/3920-1/2005 indicate that it represents a new avian paramyxovirus (APMV-12)

open access: yesArchives of Virology, 2013
Isolate wigeon/Italy/3920-1/2005 (3920-1) was obtained during surveillance of wild birds in November 2005 in the Rovigo province of Northern Italy and shown to be a paramyxovirus. Analysis of cross-haemagglutination-inhibition tests between 3920-1 and representative avian paramyxoviruses showed only a low-level relationship to APMV-1.
Calogero Terregino   +2 more
exaly   +5 more sources

An improved approach for solving the adaptive coefficient in the aPMV (adaptive predictive mean vote) index [PDF]

open access: yesBuilding and Environment
An accurate evaluation of thermal environments in buildings is beneficial not just for occupant comfort but also for reducing unnecessary overheating or overcooling energy.
Shaoxing Zhang   +2 more
exaly   +3 more sources

A theoretical adaptive model of thermal comfort – Adaptive Predicted Mean Vote (aPMV)

open access: yesBuilding and Environment, 2009
This paper presents in detail a theoretical adaptive model of thermal comfort based on the “Black Box” theory, taking into account factors such as culture, climate, social, psychological and behavioural adaptations, which have an impact on the senses used to detect thermal comfort. The model is called the Adaptive Predicted Mean Vote (aPMV) model.
Runming Yao, Baizhan Li
exaly   +3 more sources

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