Profiling Social Entrepreneurship Orientation Through Machine Learning Predictive Modeling
ABSTRACT This study examines the prediction of Social Entrepreneurship Orientation (SEO) in youth using machine learning techniques to generate a robust predictive model. Drawing on a large cross‐country survey of European youth, results indicate that cognitive–attitudinal indicators—such as concern for environmental goals, purpose‐driven motivation ...
Ángel Peiró‐Signes +2 more
wiley +1 more source
A Review: Construction of Statistical Distributions. [PDF]
Fang KT, Lin YX, Deng YH.
europepmc +1 more source
ABSTRACT Within the framework of sustainable development and environmental policy, environmental certification is regarded as a mechanism through which road passenger transport companies (RPTCs) could mitigate their adverse environmental impacts and attain competitive advantages that may enhance their financial performance.
Jose Antonio Cavero‐Rubio +1 more
wiley +1 more source
Tight Bounds for Joint Distribution Functions of Order Statistics Under <i>k</i>-Independence. [PDF]
Okolewski A, Blazejczyk-Okolewska B.
europepmc +1 more source
Using Financial and Sustainability Ratios to Map Sectors. An Approach With Compositional Data
ABSTRACT The article aims to visualize in a single graph Spanish fish and meat processing companies with respect to solvency, energy, waste and water intensity and gender employment gap. These financial, environmental, and social indicators are ratios, which require specific statistical analysis methods.
Elena Rondós‐Casas +3 more
wiley +1 more source
Multivariate mixed models accounting for don't know options in ordinal data. [PDF]
Gueorguieva R, Iannario M.
europepmc +1 more source
ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim +5 more
wiley +1 more source
A multivariate correlated poisson generalized inverse gaussian regression model for dependent count data: Estimation and testing procedures. [PDF]
Hanike Y, Purhadi, Choiruddin A.
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
Effects of Capacitive and Resistive Energy Transfer Therapy (TECAR) and Low-Level Laser Therapy (LLLT) on Blood Pressure During the Musculoskeletal Treatment: A Preliminary Study. [PDF]
Fatu AM +3 more
europepmc +1 more source

