Results 131 to 140 of about 875,579 (253)

The J-Curve Phenomenon: Myth or Reality? [PDF]

This study examines the J-curve phenomenon for the U.S. agricultural trade and compares the effect on agricultural trade relative to the U.S. non-agricultural trade. For this purpose, the autoregressive distributed lag (ARDL) model is adopted to estimate
Koo, Won W., Baek, Jungho, Mulik, Kranti
core  

Reconciling wage curve and Phillips curve

, 2005
The wage curve is the negative relationship that links wage levels to the unemployment rate. It fits accurately with modern non-competitive labour-market models, but goes against a Phillips-curve modelling, because the latter ties wage growth to the ...
Montuenga-Gómez, V.M., Ramos-Parreño, J.M.   +1 more
core   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Curve and G-Spot at Christmas, 2009

, 2009
A colour photograph of the Queen's Building, 37-43 Rutland Street, the G-Spot club and the new Curve theatre opposite. Built in 1897 and likely named for Queen Victoria’s diamond jubilee, the Queen's Building was Grade II listed in ...
Hyde, Colin;
core  

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Modeling and Correction of Label Noise Uncertainty for SAR ATR

Leida xuebao
The success of deep supervised learning in Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) relies on a large number of labeled samples.
Yue YU, Chen WANG, Jun SHI, Chongben TAO, Liang LI, Xinxin TANG, Liming ZHOU, Shunjun WEI, Xiaoling ZHANG   +8 more
doaj   +1 more source

Parameter-free Method for Polygonal Representation of the Noisy Curves.

, 2009
We propose a parameter-free method for the detection of dominant points and polygonal representation of possibly noisy curves. Based on \cite{ND07,NguyenDebled09}, this work aims at a parameter-free method through a multiscale approach. We propose a new evaluation criterion to automatically determine the most appropriate width parameter for each input ...
Nguyen, Thanh Phuong, Debled-Rennesson, Isabelle   +1 more
openaire   +2 more sources

Combating curve squeal noise

, 2016
Society demand for more sustainable transports is increasing, starting a modal shift from road to railway. The resulting increase in railway traffic intensity is leading to more activities on the track, even during the night time.
Rantatalo, Matti,, Johnsson, Roger,, Asplund, Matthias,, Hiensch, Martin   +3 more
core  

Symmetry‐Guided Multifunctional Acoustic System Based on Mechanically Actuated Sonic Crystals

Advanced Engineering Materials, EarlyView.
This study presents the design, simulation, and experimental validation of amultifunctional acoustic metamaterial based on rotationally engineered sonic crystals.By tuning cylinder orientations, controllable band gaps and six distinct functionalities—including switching, topological insulation, beam splitting, and logic operations—areachieved ...
Yuanyan Zhao, Sriram Subramanian, Gianluca Memoli   +2 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source