Results 51 to 60 of about 179,646 (321)

Microbial exopolysaccharide production by polyextremophiles in the adaptation to multiple extremes

open access: yesFEBS Letters, EarlyView.
Polyextremophiles are microorganisms that endure multiple extreme conditions by various adaptation strategies that also include the production of exopolysaccharides (EPSs). This review provides an integrated perspective on EPS biosynthesis, function, and regulation in these organisms, emphasizing their critical role in survival and highlighting their ...
Tracey M Gloster, Ebru Toksoy Öner
wiley   +1 more source

The impact of ambient air pollution and meteorological factors on emergency hospital admissions of COPD patients in Poland (2012–2019)

open access: yesScientific Reports
The relations between ambient air pollution, meteorological factors, and the number of emergency hospital admissions due to chronic obstructive pulmonary disease (COPD) were analyzed.
Bogdan Bochenek   +8 more
doaj   +1 more source

Predicting wind energy generation with recurrent neural networks [PDF]

open access: yes, 2018
Decarbonizing the energy supply requires extensive use of renewable generation. Their intermittent nature requires to obtain accurate forecasts of future generation, at short, mid and long term.
Béjar Alonso, Javier   +2 more
core   +1 more source

Correlation Between Irisin and Cognitive Functions in Alzheimer Dementia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The myokine irisin, a recent positive mediator of exercise in the brain, shows neuroprotective functions against Alzheimer's disease (AD). The association between irisin and cognition has never been explored in a biologically defined cohort of patients.
Patrizia Pignataro   +12 more
wiley   +1 more source

Diurnal variation of the duration and environment for heavy rainfall during the warm season in South China

open access: yesAtmospheric Science Letters, 2020
This article aims to examine the diurnal variation of heavy rainfall (HR) for various intensities and investigate duration and environment of HR during the warm season over South China.
Shui‐xin Zhong
doaj   +1 more source

Mathematical algorithms to maximize performance in numerical weather prediction [PDF]

open access: yes, 1984
Numerical weather prediction models, which involve the solution of non-linear partial differential equations at points on an extensive three dimensional grid, are ideally suited for processing on vector machines.
Foreman, A.
core   +1 more source

Description of Atmospheric Conditions at the Pierre Auger Observatory Using Meteorological Measurements and Models

open access: yes, 2012
Atmospheric conditions at the site of a cosmic ray observatory must be known well for reconstructing observed extensive air showers, especially when measured using the fluorescence technique.
B. Keilhauer   +15 more
core   +1 more source

A method to estimate trends in distributions of 1 min rain rates from numerical weather prediction data [PDF]

open access: yes, 2015
It is known that the rain rate exceeded 0.01% of the time in the UK has experienced an increasing trend over the last 20 years. It is very likely that rain fade and outage experience a similar trend.
Beck C.   +6 more
core   +1 more source

Lived and care experiences of chronic musculoskeletal shoulder pain in Australian adults: A qualitative study

open access: yesArthritis Care &Research, Accepted Article.
Objectives Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centred care and informing local service pathways and care guidelines or standards.
Sonia Ranelli   +8 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

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