Results 181 to 190 of about 24,705,727 (296)

DUCK‐Net: automated deep learning segmentation of ductular reactions in murine liver injury captures multicellular niche dynamics from H&E morphology

The Journal of Pathology, EarlyView.
Abstract Ductular reactions (DRs) are dynamic and complex multicellular responses that occur as a result of various hepatic injuries. Precise identification and quantification of the extent of DRs is a cornerstone of pre‐clinical modelling of liver disease, with links to inflammation, fibrosis, regeneration, and disease severity.
Nathalie Feeley, Kai Williams, Caitlin McCaffrey, Daniel Field, Kyle Davies, Hugh Warden, Luke Boulter, Steve Thorn, Tak Yung Man, Wei‐Yu Lu, Stephen J Wigmore, Ewen M Harrison, Stuart J Forbes, Ian P Tomlinson, Timothy J Kendall, Rachel V Guest   +15 more
wiley   +1 more source

Use of Artificial Intelligence on spatio-temporal data to generate insights during COVID-19 pandemic: A Review

, 2020
Jayatilaka G, Hassan J, Marikkar U, Perera R, Sritharan S, Weligampola H, Ekanayake M, Godaliyadda R, Ekanayake P, Herath V, Dilshan Godaliyadda GM, Rathnayake A, Dharmaratne SD, Ekanayake J.   +13 more
europepmc   +1 more source

Weeds in a changing climate: Competitors or service plants?

PLANTS, PEOPLE, PLANET, EarlyView.
Reducing herbicide use and preparing agroecosystems for climate change are two top priorities on the global policy agenda. Here, we explore whether these two challenges can be tackled simultaneously. While weeds are generally considered a threat to crop production, we show that weeds can help overcome climate change challenges in agroecosystems ...
Marie J. Zwetsloot, Marie‐Charlotte Bopp, Lammert Bastiaans, Elena Kazakou, Aurélie Metay, Gabriel Y. K. Moinet, Karim Barkaoui, Guillaume Fried, Léo Garcia, Merel Hofmeijer, Martine van der Ploeg, Maria Stefania Przybylska, Gerlinde B. De Deyn   +12 more
wiley   +1 more source

Disentangling multidimensional spatio-temporal data into their common and aberrant responses. [PDF]

PLoS One, 2015
Chang YH, Korkola J, Amin DN, Moasser MM, Carmena JM, Gray JW, Tomlin CJ.   +6 more
europepmc   +1 more source

Early warning signals of common vole population growth in continental Mediterranean farmlands recurrently affected by outbreaks

Pest Management Science, EarlyView.
Rodent outbreaks have significant socio‐economic impacts worldwide, and anticipation is crucial for timely management decisions. We combined rainfall and periodicity data to provide an early warning signal of vole population growth in Mediterranean farmlands, a year in advance of a peak.
François Mougeot, Xavier Lambin, Beatriz Arroyo, Juan‐José Luque‐Larena   +3 more
wiley   +1 more source

The evaluation of boundary‐layer turbulence in high‐resolution numerical weather prediction simulations using Doppler lidar

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A new method compares both kilometer and sub‐kilometre weather model simulations with Doppler lidar observations to assess the representation of boundary‐layer turbulence. While bulk boundary‐layer properties are well represented, vertical velocity variance is strongly underestimated in both simulations.
Natalie J. Harvey, Helen F. Dacre, Kirsty E. Hanley, Humphrey W. Lean, Christopher J. Walden, Michael Baidu, Steven Boeing, Andrew N. Ross   +7 more
wiley   +1 more source

Nowcasting convective cores using deep learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Key findings: •$$ \bullet $$ Network for Nowcasting Convective Cores (NetNCC) has considerable potential for convective storm nowcasting and the development of early warning systems for extreme rainfall. •$$ \bullet $$ Skilful nowcasts of convective cores are obtained at fine spatial resolutions (<30km$$ <30\kern0.15em \mathrm{km} $$) for up to 2 hr ...
Jawairia A. Ahmad, Cornelia Klein, Christopher Taylor, Seonaid R. Anderson, Steven C. Wells, David C. Hogg   +5 more
wiley   +1 more source

Evaluation of a stochastically perturbed parametrisations scheme for sea ice in sub‐seasonal forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Overconfident sea ice forecasts pose a challenge in subseasonal prediction. To test a potential way to address this issue and account for sea ice model uncertainty, this article investigates a stochastically perturbed parametrisations (SPP) scheme for sea ice in a prototype CY49R2 configuration of the coupled IFS‐NEMO4‐SI3 system. The results show that
Jonas Spaeth, Steffen Tietsche, Kristian Strommen, Michael Mayer, Andrea Storto, Christopher D. Roberts, Sarah‐Jane Lock, Sarah Keeley   +7 more
wiley   +1 more source

Object‐based deep learning for probabilistic convective‐core nowcasting from satellite data

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Convective cores detected from Meteosat infrared imagery are represented as compact physical objects to generate probabilistic nowcasts up to 6 h ahead. A spatio‐temporal transformer models interactions among evolving core populations and produces gridded probability forecasts across the western Sahel.
Mendrika Rakotomanga, Douglas J. Parker, Nadhir Ben Rached, Seonaid R. Anderson, Cornelia Klein, Steven C. Wells   +5 more
wiley   +1 more source

Graph attention spatio-temporal graph neural network based human-light interaction modeling for indoor lighting environments. [PDF]

PLoS One
Gao T, Sun L.
europepmc   +1 more source