Results 251 to 260 of about 105,118 (315)

Protocol for massively parallel RNA assay combined with immunoprecipitation for high-throughput analysis of RNA-protein interactions in cells. [PDF]

STAR Protoc
Lee YH, Rinn JL, Hwang T.
europepmc   +1 more source

Curcumin Alleviates the Osteogenesis Inhibition and the Aging Process in BMSCs Induced by Iron Overload Through Activating the NRF2/GPX4 Pathway

Phytotherapy Research, EarlyView.
Under iron overload conditions, curcumin inhibits cellular senescence and promotes osteogenic differentiation by activating the NRF2/GPX4 signaling pathway in bone marrow mesenchymal stem cells (BMSCs), thereby preventing the onset of osteoporosis. ABSTRACT Dysregulated proliferation and differentiation of bone marrow mesenchymal stem cells (BMSCs ...
Jingmin Che, Qing Feng, Zhixia Zhao, Jingying Sun, Weihao Ren, Yangmeng Feng, Cuixiang Xu, Xu‐Hui Li   +7 more
wiley   +1 more source

FAD-MIL: a weakly supervised fracture detection model based on X-ray images. [PDF]

Sci Rep
Xue F, Zhang Y, Zhao W, Wang Z, Maimaiti A, Zhang J, Li Y.   +6 more
europepmc   +1 more source

A new method to identify and explain sources of precipitation modification, illustrated for the western Netherlands

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff, Gert‐Jan Steeneveld   +1 more
wiley   +1 more source

Multimodal AI model for early detection of hepatocellular carcinoma. [PDF]

NPJ Precis Oncol
Jing SY, Li XL, Wen H, Cai JX, Bei YQ, Zhao XL, Zhang ZT, Fan XH, Zou YN, Chen LL, Wang YL, Wang CY, Li X, Meng LL, Lin P, Yan X, Ji Y, Li H.   +17 more
europepmc   +1 more source

A multimodel intercomparison study of variable‐resolution global models with grid refinement over the Arctic and Antarctic

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We document the protocol and first results from the first ever coordinated multimodel variable‐resolution experiment set with refinement over the polar regions. We find that the refinement generally yields model‐dependent effects. The most consistent improvement is an amelioration of the upper‐level cold bias in the polar regions that translates into ...
Lise Seland Graff, Dörthe Handorf, Raphael Köhler, Xavier Levine, René R. Wijngaard, Gareth J. Marshall, Alexey Yu. Karpechko, Ryan S. Williams, Priscilla A. Mooney   +8 more
wiley   +1 more source

A deep generative approach to personalized super mario level design. [PDF]

Sci Rep
Baharvand D, Saeedi N, Gharehveran SS, Shirini K.   +3 more
europepmc   +1 more source

A framework to evaluate and identify development requirements for land‐surface models at km‐scale resolution: Application to a semi‐arid and mountainous region

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This article provides a first evaluation of land‐surface models at the km‐scale resolutions at which they are used in weather and Earth‐system models. At these resolutions, the lateral transfers of water that organize landscapes play an important role in predicting evaporation correctly. Riparian processes and human water management for irrigation need
Jan Polcher, Julie Collignan, Juan Pablo Sierra Perez, Gabriele Arduini, Sophie Bastin, Martin Best, Aaron Boone, Manel Bravo, Francesca Covella, Jasper M. C. Denissen, Cenlin He, Simon Munier, Marc Prange, Elena Shevliakova   +13 more
wiley   +1 more source

SVH-BD: Synthetic vegetation hyperspectral benchmark dataset derived from sentinel-2 tiles over France, Spain, Tanzania, and India during 1-6 May 2023. [PDF]

Data Brief
Ben Azizi C, Guilloteau C, Roussel G, Puigt M.   +3 more
europepmc   +1 more source

A CNN Approach for Simultaneous Spatiotemporal Fault Interpretation

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Convolutional Neural Networks (CNNs) have emerged as one of the most effective tools for image analysis. In this study, we propose a custom‐designed CNN architecture to construct a process control scheme based on image data. The product image is partitioned into equal‐sized grids, each comprising three channels: (i) reference image, (ii ...
Hamed Sabahno
wiley   +1 more source