Titlebook: Improving the Emotional Intelligence of Translators; A Roadmap for an Exp Séverine Hubscher-Davidson,Caroline Lehr Book 2021 The Editor(s)

可商量

指派

Generalize

热心

Other Aspects to Consider,tural backgrounds may respond differently to EI interventions. Another aspect addressed in this chapter is the differential impact of EI training on men and women, adults of different ages, and individuals with different levels of motivation.

hypnotic

2947-5740 uidelines and safeguards.This book provides a unique roadmap for the design of an effective emotional intelligence (EI) intervention adapted to the needs of translators. Building on the growing interest in understanding the impact of translators’ emotions on their work, this book is the first to out

集聚成团

Conclusion and Future Directions,t their capacity to adapt, deal with uncertainty, and seize opportunities. It sums up the main benefits and limitations of carrying out intervention studies and highlights that EI training could be used by anyone seeking to improve performance and affective outcomes for translation professionals. Avenues for further research are also presented.

ineluctable

A P2P Surplus Energy Trade Among Neighbors Based on Hyperledger Fabric Blockchainstrate how to build an energy trade system using Hyperledger Fabric with set up of endorsing peers, orderers and validating peers. We also show how to protect the system from possible attackers by set up of CA (certificate authority) and MSP (membership service provider) in IBM Blockchain Platform.

防锈

https://doi.org/10.1007/978-1-4615-5061-7h respect to the final concentration (year 2016), as in the case of potassium, which presents an average loss of 94.88% up to the year 2016. Additionally, the tendency of the data is increased, indicating that with the passage of time, this will increase, largely affecting the productivity of the so

很像弓]

Zhixin Xu,Min Yaothat improve task performance are zoomed and exaggerated. Unlike alternative approaches such as spatial transformer networks, our proposed layer is inspired by image saliency, computed efficiently from uniformly downsampled data, and degrades gracefully to a uniform sampling strategy under uncertain

雄辩