Results 251 to 260 of about 56,890 (307)

The Impact of Cervical Cytology Category Imbalance on Self-Supervised Representation Learning. [PDF]

Comput Struct Biotechnol J
Liu S, Chang X, Bai J, Chen L, Zeng S, Quan T, Liucor X, Cheng S.   +7 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 near-complete map of human cytosolic degrons and their relevance for disease. [PDF]

Sci Adv
Voutsinos V, Johansson KE, Larsen FB, Grønbæk-Thygesen M, Jonsson N, Holm-Olesen E, Tesei G, Stein A, Fowler DM, Lindorff-Larsen K, Hartmann-Petersen R.   +10 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

Loop parallelization in source code for internet of things computing using hybrid heuristic algorithm. [PDF]

PLoS One
Arasteh B, Sefati SS, Kusetogullari H, Kiani F, Sorooshian S, Babaee Tirkolaee E.   +5 more
europepmc   +1 more source

Photonic nanovoids for tailored optoelectronic response in silicon solar cells

Responsive Materials, EarlyView.
Optoelectronic workflow followed by experimental validation, demonstrating state‐of‐the‐art efficiency gains. Abstract As crystalline silicon (c‐Si) solar cells become thinner to reduce cost and weight, the optical design principles that govern light trapping (LT) must evolve.
Ivan M. Santos, Miguel Alexandre, Valentin D. Mihailetchi, Kezheng Li, António T. Vicente, Eva Almeida, Mónica Dyreby, Tiago Mateus, Tomás Calmeiro, Elvira Fortunato, Rodrigo Martins, Hugo Águas, Manuel J. Mendes   +12 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

Using Deep Learning AI to Detect Riparian Vegetation Recovery Following a Major Flood in the Brisbane River

River Research and Applications, EarlyView.
ABSTRACT Post‐flood riparian vegetation recovery demands significant attention; however, the complexity of traditional remote sensing methods often hinders environmental managers from implementing rapid vegetation monitoring. This paper developed a model using a Deep Learning Model within ArcGIS to classify and detect recovery of vegetation with high ...
Sydney O'Hare, Jinghan Li, Yongping Wei
wiley   +1 more source

Dynamic Control of DNA Origami Self-Assembly by Transcriptional Modules. [PDF]

J Am Chem Soc
Zhang L, Sha R, Bershadsky L, Chaikin PM.   +3 more
europepmc   +1 more source

Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers

Remote Sensing in Ecology and Conservation, EarlyView.
This research established a new object detection model based on YOLOv11 to recognise benthic organisms, specifically sea cucumbers, by utilising high‐resolution photogrammetric‐based orthomosaics acquired along infralittoral Mediterranean Sea beds. The model demonstrated impressive performance metrics and, when combined with the Deepness plugin for the
Gian Mario Sangiovanni, Giovanna Jona Lasinio, Daniele Poggio, Gianluca Mastrantonio, Alessio Pollice, Arnold Rakaj, Midhun Mohan, Stefano Moro, Edoardo Casoli, Daniele Ventura   +9 more
wiley   +1 more source