Results 71 to 80 of about 84,381 (353)

On–Off Switchable Micromotors for Use in Steerable Microvehicles

Advanced Robotics Research, EarlyView.
Electrically controllable micromotors and microvehicles are developed by tuning the diffusion of the fuel. Self‐propelled micromotors using bubble propulsion show great promise for miniaturized devices with multiuse purposes such as cargo delivery and sensing. However, there is currently no method to electrically switch the micromotors on or off. Here,
Hugo Severinsson, Eswaran Murugasen, Jose G. Martinez, Edwin W. H. Jager   +3 more
wiley   +1 more source

The CORDEX.be initiative as a foundation for climate services in Belgium [PDF]

, 2018
The CORDEX.be project created the foundations for Belgian climate services by producing high-resolution Belgian climate information that (a) incorporates the expertise of the different Belgian climate modeling groups and that (b) is consistent with the ...
Bauwens, Maite, Caluwaerts, Steven, De Cruz, Lesley, De Ridder, Koen, De Troch, Rozemien, Doutreloup, Sébastien, Duchêne, François, Fettweis, Xavier, Giot, Olivier, Gobin, Anne, Hamdi, Rafiq, Hosseinzadehtalaei, Parisa, Lauwaet, Dirk, Luyten, Patrick, Marbaix, Philippe, Müller, Jean-François, Ponsar, Stéphanie, Pottiaux, Eric, Scholzen, Chloé, Stavrakou, Trissevgeni, Tabari, Hossein, Termonia, Piet, Van den Eynde, Dries, Van Lipzig, Nicole, Van Schaeybroeck, Bert, Van Uytven, Els, Van Ypersele, Jean-Pascall, Vanden Broucke, Sam, Vannitsem, Stéphane, Villanueva-Birriel, Cecille, Willems, Patrick, Wouters, Hendrik, Wyard, Coraline   +32 more
core   +2 more sources

Climate Change Threatens Micronutrient Density of European Winter Wheat

Advanced Science, EarlyView.
Micronutrients are vital for human health. Wheat is a major staple crop and a significant source of minerals and B‐vitamins. The impact of climate change on their content remains largely unknown. We evaluated micronutrient levels in European winter wheat grown under historical and projected climate conditions. Our findings indicate that future climates
Da Cao, Jennifer Michel, Eline Lorer, Markus Weinmann, Jacques Le Gouis, Claire Léon, Sibille Perrochon, David Alvarez, Vincent Leemans, Iñaki Balanzategui Guijarro, Jordi Moya Laraño, Sara Sánchez Moreno, Symanczik Sarah, Waibel Matthias, Hervé Vanderschuren, Cécile Thonar, Pierre Delaplace, Dominique Van Der Straeten   +17 more
wiley   +1 more source

A Lightweight Terrain‐Constraint Model for Wind Spatial Downscaling

Journal of Geophysical Research: Machine Learning and Computation
High‐resolution wind fields has always been the goal of refined meteorological forecasting. Using advanced deep learning algorithms for wind downscaling is an effective approach to achieve this goal. However, the lack of physical process understanding in
Anboyu Guo, Qiyang Liu, Jiuke Wang, Yuanyong Gao, Lixin Wei, Xiaojiang Song, Chi Zhang, Kai Liu, Shuping Ma, Jiu Jiang   +9 more
doaj   +1 more source

Improving Precipitation Estimation Using Convolutional Neural Network [PDF]

, 2019
Precipitation process is generally considered to be poorly represented in numerical weather/climate models. Statistical downscaling (SD) methods, which relate precipitation with model resolved dynamics, often provide more accurate precipitation estimates
AghaKouchak, A, Hsu, K, Pan, B, Sorooshian, S   +3 more
core  

SKOOTS: Skeleton‐Oriented Object Segmentation for Mitochondria in High‐Resolution Cochlear EM Datasets

Advanced Science, EarlyView.
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka, Richard T. Osgood, Hidetomi Nitta, Artur A. Indzhykulian   +3 more
wiley   +1 more source

Western North Pacific tropical cyclone model tracks in present and future climates [PDF]

, 2017
Western North Pacific tropical cyclone (TC) model tracks are analyzed in two large multimodel ensembles, spanning a large variety of models and multiple future climate scenarios.
Camargo, Suzana J., Emanuel, Kerry A., Henderson, Naomi, Kumar, Arun, LaRow, Timothy E., Murakami, Hiroyuki, Nakamura, Jennifer, Roberts, Malcolm J., Scoccimarro, Enrico, Sobel, Adam H., Vidale, Pier Luigi, Wang, Hui, Wehner, Michael F., Zhao, Ming   +13 more
core   +4 more sources

Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China

Advanced Science, EarlyView.
This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang, Yadong Yang, Yongsheng Wang, Guirui Yu   +3 more
wiley   +1 more source

Study on the Construction of Initial Condition Perturbations for the Regional Ensemble Prediction System of North China

Atmosphere, 2019
The regional ensemble prediction system (REPS) of North China is currently under development at the Institute of Urban Meteorology, China Meteorological Administration, with initial condition perturbations provided by global ensemble dynamical ...
Hanbin Zhang, Min Chen, Shuiyong Fan
doaj   +1 more source

Performance evaluation of artificial neural networks in statistical downscaling of monthly precipitation (Case study: Minab watershed) [PDF]

Environmental Resources Research, 2017
Assessment of the impacts of climate change on water resources has been obtainedsignificant attentions in the past decade. This paper assesses the climate change impacts onprecipitation in the Minab basin, in the Hormozgan province in Iran.
Meysam Alizamir, Mehdi Azhdary Moghadam, Arman Hashemi Monfared, Ali Akbar Shamsipour   +3 more
doaj   +1 more source