Results 171 to 180 of about 30,071 (267)

Assessing Climate Change Disclosure and Its Governance Drivers: Insights From the European Utilities Sector

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study aims to enhance academic understanding of the factors influencing the disclosure practices of climate change among European utility companies, specifically in the context of their sustainability reporting. The primary objective is to explore, through a multi‐theoretical framework, the governance drivers that significantly affect the
Cristina Boţa‐Avram, Adriana Tiron Tudor, Liana Stanca   +2 more
wiley   +1 more source

Scanner-agnostic dynamic jaw motion generation from virtual static excursive records using open-source Python-based artificial intelligence (AI) interpolation. [PDF]

J Prosthodont
Omar MS, Yang CC, Morton D, Lin WS.
europepmc   +1 more source

ESG Ratings and Firms' Engagement in Global Innovation Ecosystems: Implications for Green Innovation Capacity

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The increasing salience of climate change has intensified attention to the roe of ESG ratings in shaping firms' green innovation. We examine the link between ESG performance and green innovation, highlighting the role of participation in global innovation networks.
Miaomiao Tao, David Roubaud, Mingzhi Zhang, Qianli Ma   +3 more
wiley   +1 more source

Feedback-integrated prompt optimiser for problem formulation. [PDF]

Sci Rep
Amarasinghe PT, Nguyen S, Sun Y, Alahakoon D.   +3 more
europepmc   +1 more source

Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley   +1 more source

Fixation-related potentials reveal that confusing program code elicits a late frontal positivity. [PDF]

Sci Rep
Bergum A, Maurer AM, Peitek N, Bader R, Mecklinger A, Demberg V, Siegmund J, Apel S.   +7 more
europepmc   +1 more source

Cytoflow: User‐Friendly Python Software for Computational Flow Cytometry

Cytometry Part A, EarlyView.
ABSTRACT Modern flow cytometry experiments routinely measure 18 or more fluorescent markers across many samples, patients, and tissues. As these experiments' complexity increases, manual gating becomes unacceptably inefficient and can introduce operator‐to‐operator variation. Computational cytometry algorithms such as unsupervised clustering, automated
Leah Teague
wiley   +1 more source

Impact of Generative AI-assisted programming on the computational thinking of high school students. [PDF]

Front Psychol
Guo R, Li G, Miao H, Pi Z, Xie L.
europepmc   +1 more source

Exponentially‐constrained Gaussian mixture model for quantifying vertical development of water‐conducting fracture zones in lithologically stratified mining roofs

Deep Underground Science and Engineering, EarlyView.
This study proposes an exponentially‐constrained Gaussian mixture model (EcGMM) to quantify vertical fracture heterogeneity in stratified roof strata. The model integrates a piecewise exponential decay term capturing global stress dissipation with Gaussian components representing localized fracture intensification at lithological interfaces.
Huiqing Yuan, Zhimin Xu, Weixiao Chen, Chenghang Zhang, Shijie Xiong, Yajun Sun   +5 more
wiley   +1 more source

Empirical validation of a generative AI framework for personalized education assessment. [PDF]

Sci Rep
Qian M, Ji H, Li L.
europepmc   +1 more source