Business Ethics, the Environment &Responsibility, EarlyView.ABSTRACT Corporate social responsibility (CSR) has become central to corporate strategy, yet its impact on corporate financial performance (CFP) remains debated. Existing literature, which often relies on conventional statistical methods, overlooks the complex, nonlinear interactions between CSR and CFP.
Ephraim Kwashie Thompson +2 more
wiley +1 more source
Association and prediction of serum lipid profiles with incident stroke in the CHARLS cohort: A machine learning analysis. [PDF]
Medicine (Baltimore)Wang J, Zhang W, Wang Y.
europepmc +1 more source
Corruption Detection Through Textual Analysis: Evidence From Eurozone Banks
Business Ethics, the Environment &Responsibility, EarlyView.ABSTRACT This research investigates the disclosure of banking institutions by analyzing their annual reports to identify the determinants capable of signaling possible corruption scandals. A textual analysis was conducted on the financial reports of 42 Eurozone banks from the period 2013 to 2022.
Rodolfo Damiano +3 more
wiley +1 more source
The maximum 2D diameter column of the notch as the most important bone risk indicator compared with the posterior tibial slopes for ACL injury based on computed tomography: Analysis using machine learning approach. [PDF]
J Exp OrthopXiao K +9 more
europepmc +1 more source
International Fisheries Agreements: Endogenous Exits, Shapley Values, and Moratorium Fishing Policy
Guillaume Bataille, Benteng Zou
openalex +1 more source
Unveiling the factors of aesthetic preferences with explainable AI
British Journal of Psychology, EarlyView.Abstract The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences.
Derya Soydaner, Johan Wagemans
wiley +1 more source
Development and validation of an explainable machine learning model for preoperative prediction of central lymph node metastasis in capsular-invasive papillary thyroid carcinoma. [PDF]
Medicine (Baltimore)Chen J, Hong Y, Shen H, Chen H.
europepmc +1 more source
Residual permutation tests for feature importance in machine learning
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Psychological research has traditionally relied on linear models to test scientific hypotheses. However, the emergence of machine learning (ML) algorithms has opened new opportunities for exploring variable relationships beyond linear constraints.
Po‐Hsien Huang
wiley +1 more source
Urban-rural differences in influencing factors of depressive symptoms among Chinese perimenopausal women. [PDF]
Sci RepWang D, Song P, Zhang Q, Zhuang B.
europepmc +1 more source
Diabetes, Obesity and Metabolism, EarlyView.Abstract Introduction Diabetic kidney disease (DKD) and diabetic nephropathy (DN) affect around 40% of diabetic patients but lack accurate risk prediction tools that include social determinants and demographic complexity. We developed and validated an ensemble machine learning model for three‐year DKD/DN risk prediction with deployment readiness ...
Ayla M. Tourkmani +5 more
wiley +1 more source