ABSTRACT This study examines the relationship between board independence and corporate social responsibility (CSR) outcomes. Based on legitimacy theory, we conducted a structured literature review of 167 archival studies to analyze the influence of board independence on CSR performance and reporting.
Patrick Velte
wiley +1 more source
General elections in Poland (1990-2024) in the unified territorial aggregation: GeoElections Poland 1.0. [PDF]
Śleszyński P, Kowalski M.
europepmc +1 more source
Truth‐telling in the Australian Curriculum
Abstract Unlike Canada and South Africa, Australia has not completed a national Truth‐telling of First Nations histories. As a consequence, the curriculum is at risk of excluding Truth‐telling, leading to indoctrination of past injustices as part of school learning.
Glenn Auld +29 more
wiley +1 more source
Community-level social capital and participation in health checkups among older adults in Japan: a cross-sectional study. [PDF]
Matsuura H, Hatono Y.
europepmc +1 more source
Dried biofluid droplet morphologies for automated and scalable disease classification
For the first time, disease‐specific fingerprints of diabetes and influenza are revealed from dried biofluid droplet morphologies. Using automated droplet detection, texture analysis, and interpretable machine learning, this scalable workflow transforms endpoint droplet patterns into diagnostic biomarkers for point‐of‐care healthcare applications ...
Anusuya Pal +5 more
wiley +1 more source
An ensemble machine learning classifier for Parkinson's disease diagnosis using optical coherence tomography angiography. [PDF]
Hasanshahi M +5 more
europepmc +1 more source
EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang +9 more
wiley +1 more source
HED-Net: a hybrid ensemble deep learning framework for breast ultrasound image classification. [PDF]
Koshy SS +3 more
europepmc +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Migrant Electoral Rights (MER) New Data from 165 Countries and Six Decades. [PDF]
Umpierrez de Reguero S +2 more
europepmc +1 more source

