Results 71 to 80 of about 35,599 (288)
Supply Chain Network, ESG Scores and Financial Performance
ABSTRACT This paper provides novel evidence on the role of supply chain networks in influencing firms' environmental, social and governance (ESG) scores and financial performance. Our analysis employs financial, board, ESG and supply chain data, resulting in an unbalanced panel of over 16,000 firm‐year observations from 3028 publicly traded US firms ...
Michail Filippidis +2 more
wiley +1 more source
After impounding the Baihetan Water Reservoir in a historically seismically active area, numerous earthquakes occurred, but it is uncertain if they are connected to the impoundment.
Mengqiao Duan +3 more
doaj +1 more source
Nonstationary ETAS models for nonstandard earthquakes
The conditional intensity function of a point process is a useful tool for generating probability forecasts of earthquakes. The epidemic-type aftershock sequence (ETAS) model is defined by a conditional intensity function, and the corresponding point ...
Kumazawa, Takao, Ogata, Yosihiko
core +1 more source
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
Disaster risk reduction measures n Bangladesh [PDF]
Disasters damage the entire economy of the country when they predominantly take place in developing countries. While no country in the world is entirely safe, lack of capacity to limit the impact of hazards has made developing countries being the most ...
Amaratunga, Dilanthi +4 more
core
The ETAS model is widely employed to model the spatio-temporal distribution of earthquakes, generally using spatially invariant parameters. We propose an efficient method for the estimation of spatially varying parameters, using the Expectation ...
Nandan, Shyam +3 more
core +1 more source
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang +4 more
wiley +1 more source
Quantitative investigation of major fault zones with low slip rates and long recurrence intervals in densely populated regions is essential for understanding earthquake recurrence and assessing seismic hazard.
Qinghai Wei +10 more
doaj +1 more source
Prediction of Large Events on a Dynamical Model of a Fault
We present results for long term and intermediate term prediction algorithms applied to a simple mechanical model of a fault. We use long term prediction methods based, for example, on the distribution of repeat times between large events to establish a ...
Aki +46 more
core +1 more source
Abstract One of the significant challenges faced in shield tunnel construction is the risk of collapse resulting from abrupt changes in soil conditions in advance of the working face, particularly within the sandy cobble stratum. This study aims to effectively manage these sudden variations and to further investigate the failure mechanisms associated ...
Hua Jiang +4 more
wiley +1 more source

