Results 141 to 150 of about 14,098 (299)

A new approach to analysing spatial data using sparse grids [PDF]

, 2003
We describe in this paper a new data mining approach for the analysis of spatial data for environmental modelling. The sparse grids analysis system models the functional relationship between a set of predictor variables and a response variable by using a
Nielsen, Ole, Silcock, Howard, Hegland, Markus, Laffan, Shawn   +3 more
core  

Semi-implicit Integration Factor Methods on Sparse Grids for High-Dimensional Systems. [PDF]

J Comput Phys, 2015
Wang D, Chen W, Nie Q.
europepmc   +1 more source

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

Advanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

Controllable Carbon Shell Encapsulation via Rapid Joule Heating Calcination for High‐Performance Asymmetric Supercapacitor With Suppressed Self‐Discharge and Robust Cycling Stability

Advanced Science, EarlyView.
The H‐Fe3O4@C negative electrode and H‐NiCo2S4@C positive electrode are designed through a controllable carbon shell encapsulation strategy. The as‐constructed asymmetric supercapacitor presents robust cycling stability with 93.7% capacity retention after 25 000 cycles.
Qiang Zhou, Zheng Yang, Zhen Cao, Xulan Zheng, Xiao Yan, Yunsong Li, Xinsheng Zhao, Yuxiao Lin, Xiaoxiao Li   +8 more
wiley   +1 more source

Thin‐Film Transistor Based Active Taxel for Multimode Tactile Perception and Fused Processing

Advanced Science, EarlyView.
Skin serves as the largest‐area organ for human and embodied intelligent robots, providing tactile interaction. An active multimode fused (AMF) artificial skin is developed using standard TFT processes, featuring 2T‐1C taxels with optical and electrostatic capacitive receptors for cross‐modal sensing.
Sihao Wu, Zheng Zhou, Aoran Xu, Lutong Wang, Tingchen Yi, Chuanlin Sun, Haotong Zhu, Jiaqi Li, Junchen Dong, Li Zhou, Lifeng Liu, Yimao Cai, Dedong Han, Xing Zhang   +13 more
wiley   +1 more source

Pericentrosomal Redistribution of the Endoplasmic Reticulum Ensures Organelle Symmetric Inheritance and Mitotic Progression

Advanced Science, EarlyView.
Upon mitotic entry, RTN4 relocalizes to the pericentrosomal region, forming a more tubular ER network around centrosomes. CDK1‐mediated phosphorylation of RTN4 increases its interaction with Rab11 GTPase, facilitating dynein‐dependent transport of RTN4 to the pericentrosomal region.
Xiangyu Xu, Yalin Liu, Rongyi Wang, Wenwen Xu, Hao Shi, Ning Huang, Junlin Teng, Jin Meng, Pengli Zheng, Jianguo Chen   +9 more
wiley   +1 more source

Turbulence behind 3D multi-scale sparse grids [PDF]

A fundamentally new idea in grid generated turbulence is the 3D Sparse Grid (3DS) concept [N. A. Malik. Sparse 3D Multi-Scale Grid Turbulence Generator. US Patent No.
Redondo Apraiz, José Manuel, Malik, Nadeem, Tellez Alvarez, Jackson David, Usama, Syed, Kwiatkowski, Kamil, Kopec, Jasek   +5 more
core  

Autonomous High‐Throughput Characterization of Liquid‐Liquid Phase Behavior

Advanced Science, EarlyView.
This study introduces an automated dual modality platform, combining asymmetric capacitance deviation and multiangle turbidimetry, for high‐throughput characterization of liquid‐liquid phase behavior across chemically diverse fluid systems. The platform enables miscibility classification, resolution of phase separation kinetics and emulsion stability ...
Tarek Eid, Maryam Ebrahimiazar, Mohammad Zargartalebi, David Sinton   +3 more
wiley   +1 more source

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

Advanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source

Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries

Advanced Science, EarlyView.
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park, Myeongcho Jang, Hun‐Gi Jung, Kyung Yoon Chung, Seungho Yu   +4 more
wiley   +1 more source