Results 231 to 240 of about 31,484,599 (302)
Building genomic data structures from compressed representations using prefix-free parsing. [PDF]
Varki R, Boucher C.
europepmc +1 more source
Board Gender Diversity and the Quality of Corporate Climate Impact Disclosure: UK Evidence
ABSTRACT This study examines how board gender diversity influences the quality of corporate climate impact disclosure, a critical element of firms' environmental transparency. Focusing on UK nonfinancial firms, we draw on gender socialisation and critical mass theories to explore how diverse boards contribute to strategic climate reporting.
Mahmoud Elmarzouky +2 more
wiley +1 more source
A visual analytic method to investigate patterns and structures of missing data. [PDF]
Ruddle RA.
europepmc +1 more source
ABSTRACT Based on signaling theory and information asymmetry theory, this study uses a sample of Chinese A share listed firms from 2012 to 2023 to examine the effect of climate risk disclosure (CRD) on institutional on‐site research and its economic consequences.
Sha Tang +2 more
wiley +1 more source
Amplitude Versus Angle (AVA) feature restoration in prestack gathers via dictionary learning. [PDF]
Gao Y +5 more
europepmc +1 more source
ABSTRACT Chief executive officers (CEOs) play a pivotal role in shaping public discourse on climate change through social media, yet how their language use affects the effectiveness of climate‐related posts remains unclear. Drawing on schema‐congruity theory and leader role expectations, we conceptualize certainty in language as congruent and anxiety ...
Ellen Weber +4 more
wiley +1 more source
Toward robust social media sentiment for SMEs: a comparative study of dictionary-based and machine learning approaches with insights for hybrid methodologies. [PDF]
Susanto H +10 more
europepmc +1 more source
ABSTRACT Understanding the evolving emotional landscape surrounding climate change is critical for developing effective environmental strategies and communication. This study offers an analysis of public emotions toward human‐induced climate change by leveraging big data analytics and machine learning techniques on social media content from platform X.
Qingfeng Tian +5 more
wiley +1 more source

