Results 131 to 140 of about 24,288,003 (306)

Dynamic Reconstruction of Atomically Dispersed Copper Catalysts for CO2 Reduction: From In Situ Observations to Rational Design

EcoEnergy, EarlyView.
Dynamic reconstruction transforms atomically dispersed Cu catalysts into authentic working‐state active phases during CO2 electroreduction. By integrating operando characterization, multiscale simulations, and AI‐assisted predictive modeling, this review establishes a framework for understanding, predicting, and rationally engineering catalyst ...
Jin Liu, Yue‐Wen Fang
wiley   +1 more source

Spatio‐temporal dynamics of ringed seal density and habitat use in the Arctic's Last Ice Area

Ecography, EarlyView.
The Arctic is warming at approximately four times the global rate, driving widespread decline in sea ice extent, thickness, and seasonal duration. The ecological consequences of these rapid changes remain poorly understood within the Last Ice Area, a region that includes northern Ellesmere Island and the northwest of Greenland, projected to retain ...
Roxanne D. MacLean, Gregory W. Thiemann, Steven H. Ferguson, Katie R.N. Florko, Cody G. Carlyle, Kelsey F. Johnson, Lisa C. Matthes, Christine Michel, Brent G. Young, David J. Yurkowksi   +9 more
wiley   +1 more source

A Contrastive Learning Framework for Vehicle Spatio-Temporal Trajectory Similarity in Intelligent Transportation Systems

Information
The rapid development of vehicular networks has facilitated the extensive acquisition of vehicle trajectory data, which serve as a crucial cornerstone for a variety of intelligent transportation system (ITS) applications, such as traffic flow management ...
Qiang Tong, Zhi-Chao Xie, Wei Ni, Ning Li, Shoulu Hou   +4 more
doaj   +1 more source

Spatio-temporal composition of Sensor Cloud services

, 2022
We propose a new framework for composing Sensor-Cloud services based on dynamic features such as spatio-temporal aspects. To evaluate spatio-temporal Sensor-Cloud services, two new quality attributes are introduced. We present a heuristic algorithm based
Z Ye (7779188), T Sellis (13380096), A G Neiat (13417128), A Bouguettaya (13359981)   +3 more
core  

Parasitoid insects unveil complex patterns of functional change across elevational bands

Ecography, EarlyView.
Climate change is rapidly reshaping how insects interact with their environment, potentially disrupting ecosystem complexity and essential functioning. While functional homogenisation has been extensively investigated for charismatic insect taxa, particularly pollinators, the response of parasitoids remains largely overlooked.
Michela Gabrieli, Lara Marcolin, Luca Santini, Pierfilippo Cerretti, Moreno Di Marco   +4 more
wiley   +1 more source

TraffiCoT-R: A framework for advanced spatio-temporal reasoning in large language models

Alexandria Engineering Journal
Spatio-temporal prediction investigates dynamic patterns in urban areas, including traffic flow, population movement, and infrastructure development and change.
Tariq Alsahfi, Kaleem Ullah Qasim
doaj   +1 more source

Damage Characteristics and Stress Distribution Law of Overburden Rock in Multiple Mining of Close Coal Seams

Energy Science &Engineering, EarlyView.
This study on close coal seams shows that multi‐seam mining increases the height of the fractured zone from approximately 26 m (single upper‐seam mining) to about 49 m. When the lower seam is mined after the extraction of the upper seam, the heights of both the caved zone and the fractured zone increase by approximately two times.
Xiaoyu Wu, Lei Guo, Zedong Sun, Xiaowei Wu, Nan Zhang   +4 more
wiley   +1 more source

Spatio-temporal source cluster analysis reveals fronto-temporal auditory change processing differences within a shared autistic and schizotypal trait phenotype

, 2017
Spatio-temporal source cluster analysis reveals fronto-temporal auditory change processing differences within a shared autistic and schizotypal trait ...
DP Crewther (14466303), W Woods (13478473), Talitha Ford (13070160)   +2 more
core  

Predicting Oral Cancer From Precursor Lesions: The Case for a Standardized Framework of Analysis to Improve Prediction Modeling

Head &Neck, EarlyView.
ABSTRACT Oral Cancer often occurs from the transformation of precursor lesions, and this offers an opportunity for early detection. Current methods to assess risk of precursor lesion progression to oral cancer incompletely predict risk. A multimodal framework that leverages machine learning is needed to improve prediction.
Michael E. Troka, James C. Gates
wiley   +1 more source

SPATIO-TEMPORAL CLUSTER ANALYSIS OF DISEASE

Informatika, 2016
The robust version of the spatial scanning statistics for clustering is proposed. Spatio-temporal cluster analysis algorithms were used for the cluster detection of incidence of thyroid carcinoma.
M. S. Abramovich, S. V. Anishchanka, M. M. Mitskevich, O. I. Bydanov   +3 more
doaj