Results 211 to 220 of about 11,657,814 (247)

Dorsiventrally Bicolored Leaf-Inspired Metamaterial Absorbers for Tailorable Electromagnetic Absorption. [PDF]

Adv Mater
Liu X, Cai W, Tian H, Zhang Z, Li F, Liu Z, Hou Q, Wang S, Bi K, Li J, Su J, Liu Y.   +11 more
europepmc   +1 more source

Does ESG Uncertainty Matter for Renewable and Nonrenewable Energy Consumption? Policy Implications in the Context of SDG 7 and SDG 13

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT In the discourse on environmental sustainability and energy security, energy management is an inevitable policy issue that requires research‐based solutions. Based on this, the present study contributes by examining the impact of environmental, social, and governance (ESG) uncertainty on energy consumption patterns in the USA from 2002 to 2024.
Naif Alsagr, Qasim Raza Syed, Ahsan Anwar   +2 more
wiley   +1 more source

Development and validation of a radiomics-habitat model for preoperatively predicting poorly differentiated stage IA lung adenocarcinoma. [PDF]

J Thorac Dis
Xiang G, Yang Z, Wang X, Gao J, Yang B, Jiang QL, Ding Y, Li WM, Si GY.   +8 more
europepmc   +1 more source

A Meta‐Analytic Review of Board Characteristics and Carbon Emission Disclosure: The Moderating Effect of Contextual Factors

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The relationship between board governance and corporate carbon emission disclosure remains persistently inconsistent across the empirical literature, despite decades of accumulated evidence. Drawing on agency, stakeholder, legitimacy, institutional, and upper echelons perspectives within a single analytical framework, we conduct a three‐level ...
Mohamed Hegazy, Diego Prior, Mahmoud Zarea   +2 more
wiley   +1 more source

Synthesis and Biological Activity Assessment of Caffeic Acid Azaheterocyclic Amide Derivatives. [PDF]

Int J Mol Sci
Xu Y, Shen H, Liu Y, Cao Y, Huang J, Yan P, Wei Y, Zhao Z, Liu X, Shangguan D.   +9 more
europepmc   +1 more source

What You Say Predicts How You Do: A Multilevel Analysis of Corporate Environmental Performance

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the relationship between firms' declarations about environmental issues and actual environmental performance improvement across a set of key environmental performance indicators. Multilevel regression analysis was conducted using a unique data set comprising 7449 firms from 22 industries headquartered in 86 countries for ...
C. José García, Begoña Herrero, Luis E. Vila   +2 more
wiley   +1 more source

Free energy spectroscopy reveals the mechanistic landscape of chromatin compaction. [PDF]

Nucleic Acids Res
Bonin K, Wang Y, Riveros I, Chen RW, Zhang B, Bundschuh R, Castro CE, Poirier MG.   +7 more
europepmc   +1 more source

Doing Good or Doing Too Much? Corporate Social Responsibility, Information Asymmetry, and the Nonlinear Dynamics of International Expansion

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Scholars have documented that corporate social responsibility (CSR) is critical to firm performance, yet its impact on international expansion remains underexplored. CSR not only serves as a signaling mechanism in international markets but also entails substantial resource commitments.
Mingjie Fang, Luyi Chen, Hanyin Ju, Miao Su   +3 more
wiley   +1 more source

MAPUNet: Multi-scale attention for InSAR phase unwrapping in mining areas. [PDF]

PLoS One
Zhang B, Yang W, Zhang X, Wang L, Cui Y, Wang X, Zhang Y.   +6 more
europepmc   +1 more source

The AI Sustainability Paradox: How Verification and Regulation Synergize to Curb Greenwashing in Emerging Markets

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Artificial intelligence (AI) reflects a paradox for corporate sustainability: it provides tools for genuine socio‐economic improvement and enables greenwashing at scale. This study examines this duality in emerging Asian markets, where rapid AI adoption coincides with evolving regulatory regimes.
Ashutosh Yadav, Simplice A. Asongu
wiley   +1 more source