Results 211 to 220 of about 43,983 (273)
ABSTRACT This study explores how corporate environmental, social, and governance (ESG) performance affects equity misvaluation and how country‐level factors—national culture, environmental performance indicators, and world governance indicators (WGIs)—moderate the relationship between corporate ESG performance and misvaluation.
Xinyu Wang +4 more
wiley +1 more source
Online label aggregation with incomplete crowd responses. [PDF]
Liu Y +8 more
europepmc +1 more source
ABSTRACT To meet rising sustainability demands, companies increasingly use social media to communicate product‐related CSR initiatives. Consumers' interactions with these messages largely depend on the messages' perceived credibility. However, there remains limited understanding of how firms combine communication characteristics into distinct patterns ...
Judith Derenthal, Waldemar Toporowski
wiley +1 more source
A hierarchical Bayesian inference model for volatile multivariate exponentially distributed signals. [PDF]
Zhu C +5 more
europepmc +1 more source
ABSTRACT The significance of fostering an internal corporate social responsibility (ICSR) plan to advance employee well‐being is not fully understood. This article explores employee well‐being from a positive balance perspective, combining the strategic approach to Internal Corporate Social Responsibility with the Theory of subjective well‐being ...
Teresa C. Herrador‐Alcaide +3 more
wiley +1 more source
Variational biomarker pooling with calibration for time-to-event outcomes across multiple clinical studies. [PDF]
Song J, Rong Z, Hou Y.
europepmc +1 more source
ABSTRACT High‐dimensional cytometry, such as mass cytometry (CyTOF), measures protein expression in single cells. When paired with AI‐enhanced data analytics, it facilitates the discovery of immune biomarkers that can assist in diagnosing and treating immune‐related diseases. However, fluctuating instrument readouts, known as batch effects, can obscure
Martin Wasser +4 more
wiley +1 more source
Facial expression recognition via variational inference. [PDF]
Lv G, Zhang J, Tsoi C.
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
ImmUQBench: a benchmark on uncertainty quantification of protein immunogenicity prediction. [PDF]
Qayyum ABA, Rahmati AH, Qian X, Yoon BJ.
europepmc +1 more source

