Results 41 to 50 of about 11,549 (247)

Comparing Regression Techniques for Temperature Downscaling in Different Climate Classifications

Engineering Proceedings, 2023
This study aims to identify the optimal regression techniques for downscaling among ten commonly used methods in climatology, including SVR, LinearSVR, LASSO, LASSOCV, Elastic Net, Bayesian Ridge, RandomForestRegressor, AdaBoost Regressor, KNeighbors ...
Ali Ilghami Kkhosroshahi, Mohammad Bejani, Hadi Pourali, Arman Hosseinpour Salehi   +3 more
doaj   +1 more source

Photo‐Patternable PEDOT:PSS for High Performance Organic Electrochemical Transistors

Advanced Materials, EarlyView.
Organic mixed ionic‐electronic conductors, such as PEDOT:PSS, are a special class of material capable of dual conductivity, making them a perfect choice to bridge biology and man‐made technology. PEDOT:PSS can be photo‐patterned by blending it with a photo‐sensitive interpenetrating network.
Charles‐Théophile Coen, Niels J. Burghoorn, Jonas G. Hendrikx, Jaap den Toonder, Yoeri van de Burgt   +4 more
wiley   +1 more source

Characterization and Design Framework for Micro‐ and Nanoscale Printed Metal Interconnects in Hybrid Electronic Systems

Advanced Materials Technologies, EarlyView.
This work establishes a framework for high‐resolution printed interconnects by coupling e‐jet printing control, multilayer deposition, and sintering optimization. Ink properties and printing speed influence particle stacking, while different sintering atmospheres drive distinct microstructural evolution.
Kaifan Yue, Siddharth Kurup, Rebecca Banner, Calib Lanier, Eric Vogel, Michael Filler, Kira Barton   +6 more
wiley   +1 more source

Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling

Scientific Reports
The increasing availability of coarse-scale climate simulations and the need for ready-to-use high-resolution variables drive the climate community to the challenge of reducing computational resources and time for downscaling purposes.
Alfredo Reder, Giusy Fedele, Ilenia Manco, Paola Mercogliano   +3 more
doaj   +1 more source

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

How May the Choice of Downscaling Techniques and Meteorological Reference Observations Affect Future Hydroclimate Projections?

Earth's Future, 2022
We present an intercomparison of a suite of high‐resolution downscaled climate projections based on a six‐member General Circulation Model (GCM) ensemble from Coupled Models Intercomparison Project (CMIP6).
Deeksha Rastogi, Shih‐Chieh Kao, Moetasim Ashfaq   +2 more
doaj   +1 more source

NuSAP Safeguards Centriole Integrity to Mediate CEP57‐CEP152 Torus Recruitment for Proper Engagement

Advanced Science, EarlyView.
This study reveals a novel role for the microtubule stabilizer NuSAP at centrioles. NuSAP depletion destabilizes the centriole's tubulin structure, causing premature disengagement, PCM defects, and mis‐localization of the CEP57‐CEP63‐CEP152 complex. By reinforcing centriole architecture, NuSAP enables early CEP57 loading and initiates a newly proposed ...
Shiyu Zhang, Zemin Jiang, Qiaoyun Yang, Hong Zheng, Minghao Wang, Chennianci Zhu, Lih‐Wen Deng, Karen Carmelina Crasta, Yih‐Cherng Liou   +8 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

An Increasing Misalignment Between Crop Distribution and Environmental Resources Under Climate Change in China

Advanced Science, EarlyView.
Climate change reshapes the spatial alignment between crop production and environmental resources. Using multi‐source data and a crop model, integrated climatic, water, and soil endowments for maize and wheat are quantified and compared with harvest distributions.
Zheng'e Su, Zhentao Zhang, Jin Zhao, Xia Liang, Chuang Zhao, Zhijuan Liu, Minghao Zhuang, Jing Sun, Bo Lu, Ke Liu, Johannes W. M. Pullens, Matthew T. Harrison, Deli Chen, Xiaoguang Yang   +13 more
wiley   +1 more source

Unveil Fundamental Graph Properties for Neural Architecture Search

Advanced Science, EarlyView.
This paper proposes NASGraph, a graph‐based framework that represents neural architectures as graphs whose structural properties determine performance. By revealing structure–performance relationships, NASGraph enables efficient neural architecture search with significantly reduced computation.
Zhenhan Huang, Tejaswini Pedapati, Pin‐Yu Chen, Chunheng Jiang, Jianxi Gao   +4 more
wiley   +1 more source