Results 61 to 70 of about 658,124 (263)

Falling for Rising Temperatures?: finance in a carbon-constrained world [PDF]

, 2020
Mitigating climate change requires significant societal change. But global action to keep temperature rise within safe bounds is still highly deficient. A heated debate exists about the role that firms and financial markets play in contributing to a solution.
openaire   +2 more sources

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Climate Changes Can Restore Allopatry Between Two Congeneric Birds in the Atlantic Forest

Birds
The climate is expected to change substantially by the end of the current century. In response to climate change, species may disperse, adapt, or become locally extinct.
Vitor Araujo-Lima, Rayane dos Santos Oliveira, Marcio Mageski, Rodrigo Barbosa Ferreira, Charles Duca   +4 more
doaj   +1 more source

Geophysical study of the epicentral area of the Katav-Ivanovsk earthquake (05.09.2018, M5.8)

Литосфера, 2020
Resarch subject. To investigate the epicentral area of the Katav-Ivanovsk earthquake (05.09.2018, M5.8), which has so far been the strongest seismic event in the Urals during the entire period of instrumental observations.
A. V. Ovcharenko, V. A. Davydov, V. A. Shchapov, A. K. Yurkov   +3 more
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Biomimetic Hexagonal Texture with Dual-Orientation Groove Interconnectivity Enhances Lubrication and Tribological Performance of Gear Tooth Surfaces

Lubricants
Enhanced lubrication is critical for improving gear wear resistance. Current research on surface textures has overlooked the fundamental role of structural connectivity. Inspired by biological scales, a biomimetic hexagonal texture (BHT) was innovatively
Yan Wang, Shanming Luo, Tongwang Gao, Jingyu Mo, Dongfei Wang, Xuefeng Chang   +5 more
doaj   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source

The Phenomenon of Temperature Increase in Poland: A Machine Learning Approach to Understanding Patterns and Projections

Applied Sciences
This study presents an analysis of patterns in mean monthly air temperature increases in Poland using the deep learning model Neural Basis Expansion Analysis for Time Series (N-BEATS) algorithm.
Anna Franczyk, Robert Twardosz
doaj   +1 more source

Analyzing Temperature Rise and Fluid Flow of High-Power-Density and High-Voltage Induction Motor in the Starting Process

IEEE Access, 2019
Transient characteristics in the starting process play an important role in the design and operation of high-power-density and high-voltage induction motor.
Yunyan Xia, Yongsen Han, Yongming Xu, Mengmeng Ai   +3 more
doaj   +1 more source