Results 211 to 220 of about 18,126 (284)

How to Escape Local Optima in Black Box Optimisation: When Non-elitism Outperforms Elitism. [PDF]

Algorithmica, 2018
Oliveto PS, Paixão T, Pérez Heredia J, Sudholt D, Trubenová B.   +4 more
europepmc   +1 more source

Strategies to Enhance Ionic Conductivity of Na3Zr2Si2O12 Solid Electrolyte for Advanced Solid‐State Sodium Batteries

Carbon Energy, EarlyView.
This review presents a comprehensive summary and discussion of some optimization strategies for enhancing room‐temperature ionic conductivity of Na3Zr2Si2PO12 (NZSP) solid electrolyte for solid‐state sodium batteries, including foreign‐ion doping or substitution, sintering behavior modulation, and regulation of chemical composition based on precursors.
Jiawen Hu, Zixing Chen, Xi Wang, Changsheng Ding, Yongfeng Li, Yanfeng Gao   +5 more
wiley   +1 more source

Examples of atoms absorbing photon via Schrödinger equation and vacuum fluctuations. [PDF]

Sci Rep
Zhang Y.
europepmc   +1 more source

Optimal dividends for a NatCat insurer in the presence of a climate tipping point

Canadian Journal of Statistics, EarlyView.
Abstract We study optimal dividend strategies for an insurance company facing natural catastrophe claims, anticipating the arrival of a climate tipping point after which the claim intensity and/or the claim size distribution of the underlying risks deteriorates irreversibly.
Hansjörg Albrecher, Pablo Azcue, Nora Muler   +2 more
wiley   +1 more source

The Rhetoric of Healthcare and the Moral Debate About Theatre-Funded Hospitals in Early Modern Spain. [PDF]

J Med Humanit
Bergman TLL.
europepmc   +1 more source

Do Investors React Differently to GHG Emission in Stock Pricing Across Firms? Evidence From Commonwealth African Countries Using a Novel Wavelet‐Enhanced QQR Approach

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the intricate and asymmetric relationship between corporate greenhouse gas emission disclosure and stock returns and crash risks, focusing on listed firms in six Commonwealth African countries characterized by regulatory fragility, limited investor protection, and growing climate vulnerability.
Idorenyin J. Okon, Adeolu O. Adewuyi, Simplice A. Asongu   +2 more
wiley   +1 more source

Ruin probability and infinite time

Freakonometrics, 2012
openaire   +1 more source

Statistical framework for condensation frosting incipience on smooth and nanostructured surfaces

Droplet, EarlyView.
A statistical framework for frost incipience that considers the effect of surface wettability and captures the stochastic nature of both nucleation dynamics for condensation and droplet growth during the subsequent freezing process. Abstract Frost and ice formation on a solid surface is governed by nanoscale liquid‒solid intermolecular interactions ...
Jiazheng Liu, Parsa Faghihi, Wenhao Yang, Siyan Yang, Vishwanath Ganesan, Omkar Gandhi, Jiayi Zhang, Wentao Yang, Nenad Miljkovic   +8 more
wiley   +1 more source

Experimental study on dynamic behavior analysis of coal and its acoustic emission response characteristics under impact failure

Deep Underground Science and Engineering, EarlyView.
Based on acoustic emission response characteristics, it can be more accurate to identify the damage evolution process of coal under the combined dynamic and static loads, reveal the moment corresponding to coal damage, and identify the characteristics of coal failure. The research results are conducive to the further use of acoustic emission monitoring
Wei Zhang, Huijian Fu, Yingke Liu, Zhaoxi Long, Yang Liu, Tengrui Yang, Yanbo Sun, Mingjun Jiang, Xiaojiang Wen, Yue Niu, Ruixi Cheng   +10 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source