Results 101 to 110 of about 106,827 (278)

Combating ESG Greenwashing Through AI Models: Evidence From Disaggregated AI Technologies, Mechanisms, and Thresholds

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines how artificial intelligence language models influence corporate environmental, social, and governance greenwashing (GWESG$$ {\mathrm{GW}}_{\mathrm{ESG}} $$) behavior, utilizing panel data from Chinese listed firms spanning 2012–2022.
Brahim Bergougui, Hamid Ghazi H. Sulimany, Abdulrahman Atllah Alharbi   +2 more
wiley   +1 more source

Legal governance countermeasures for social problems based on the clustering algorithm under the application of big data technology

IET Networks, EarlyView., 2022
This work aims to improve the comprehensive role of big data technology in promoting social development and reduce the continuous emergence of social problems under the background of big data application. Abstract The purpose is to improve the security of the application of big data technology and ensure the stable development of society in the context
Xuejie Zhao
wiley   +1 more source

Activation of the Silent Secondary Metabolite Production by Introducing Neomycin-Resistance in a Marine-Derived Penicillium purpurogenum G59

Marine Drugs, 2015
Introduction of neomycin-resistance into a marine-derived, wild-type Penicillium purpurogenum G59 resulted in activation of silent biosynthetic pathways for the secondary metabolite production.
Chang-Jing Wu, Le Yi, Cheng-Bin Cui, Chang-Wei Li, Nan Wang, Xiao Han   +5 more
doaj   +1 more source

A Framework for Impression Management in Extra‐Financial Reporting

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This paper examines how organisations employ impression management tactics in extra‐financial reporting, particularly in the context of environmental, social and governance (ESG) concerns. As stakeholder scrutiny and regulatory expectations intensify, organisations increasingly shape non‐financial disclosures to influence perceptions of ...
Laura Ribeiro, Nirupa Padia, Dusan Ecim, Warren Maroun   +3 more
wiley   +1 more source

Elevator dynamic monitoring and early warning system based on machine learning algorithm

IET Networks, EarlyView., 2022
In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
wiley   +1 more source

Countermeasures in International Law

, 2015
The bibliography classifies, examines and illustrate the most relevant contrbutions in the field of countermeasures. It presents international law works classified as: textbooks and countermeasures, definition and object of countermeasures, limits of ...
CANNIZZARO, VINCENZO, BONAFE', BEATRICE ILARIA   +1 more
core   +1 more source

Seismic analysis and design of tunnels within fault ground: A review

Deep Underground Science and Engineering, EarlyView.
The research methods of seismic response of tunnels within fault ground, including field investigations, analytical solutions, physical experiments, and numerical simulations, and seismic countermeasures are discussed. The present study examines the shortcomings and limitations of the current research and design, and puts forward proposals for future ...
Xingda Wang, Yujing Jiang, Xuepeng Zhang, Yuyong Jiao, Ningbo Li, Xiao Wang, Bo Li   +6 more
wiley   +1 more source

Numerical simulation study on the characteristics and propagation attenuation of vibration signals in freezing pipe fracture

Deep Underground Science and Engineering, EarlyView.
This research study employs analysis system (ANSYS) fluid–structure interaction simulations to investigate the generation and attenuation of vibration signals resulting from freezing pipe fractures in artificial ground freezing projects. By evaluating key variables—including frozen soil elastic modulus, brine inlet pressure, and external pipe pressure ...
Yi Cao, Yansen Wang, En Chen, Meng Zhao
wiley   +1 more source

An Efficient Android Malware Detection System Based on Method-Level Behavioral Semantic Analysis

IEEE Access, 2019
According to the recent report, 12 000 new Android malware samples will be generated every day. Efficient identification of evolving malware is an urgent challenge.
Hanqing Zhang, Senlin Luo, Yifei Zhang, Limin Pan   +3 more
doaj   +1 more source

Probabilistic characterization of seepage‐induced tunnel face failure via a two‐phase double‐point material point method

Deep Underground Science and Engineering, EarlyView.
To address seepage‐induced tunnel face collapse, this study develops a two‐phase double‐point MPM framework to capture large‐deformation hydro‐mechanical interactions. Incorporating a cementation‐based constitutive model with dynamic permeability updates, the model is successfully validated against saturated granular‐column collapse experiments ...
Yue Tong, Mingliang Zhou, Jie Xu, Zeyu Li, Yisheng Zhao, Jin An, Hongwei Huang   +6 more
wiley   +1 more source