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
Quantitative Computation Tree Logic Model Checking Based on Generalized Possibility Measures [PDF]
Yongming Li, Zhanyou Ma
openalex +1 more source
Where Tech Meets the SDGs: A Supply‐Chain Process Map for Sustainability Management
ABSTRACT This study investigates how advanced technologies support Sustainable Development Goals (SDGs) within supply chain management (SCM) through a structured analysis of 4448 sustainable practices. By integrating perspectives from sustainability‐oriented innovation (SOI) and contingent dynamic capabilities, the research conceptualizes technology ...
Vincenzo Varriale +2 more
wiley +1 more source
Routing Protocols for Wireless Body Area Networks: Recent Advances and Open Challenges. [PDF]
Qin H, Su H, Niu X, Chen H.
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 Constructive Equivalence between Computation Tree Logic and Failure Trace Testing [PDF]
Stefan D. Bruda +4 more
openalex +1 more source
Likelihoods for a general class of ARGs under the SMC. [PDF]
Bisschop G, Kelleher J, Ralph P.
europepmc +1 more source
Bioinspired Crossmodal Tactile Sensory Nerve for High‐Accurate Object Recognition
An artificial crossmodal sensory neuron system (ACSNS) that combines a complementary memristor with high‐sensitivity pressure–temperature bimodal sensors, which integrate tactile perception, information storage, and neuromorphic computing. With the aid of machine learning, this ACSNS presents an improved accuracy of 96.67% in recognizing temperatures ...
Delu Chen +8 more
wiley +1 more source
Quantitative System Risk Assessment From Incomplete Data With Belief Networks and Pairwise Comparison Elicitation. [PDF]
De Persis C +4 more
europepmc +1 more source
Machine Learning–Enhanced Fluorescence Cryptography with NADH‐Responsive Polymer Dots
This study presents a smart anticounterfeiting system using semiconducting polymer dots (Pdots) that exhibit tunable fluorescence responses to NADH. By integrating these dynamic optical signals with machine learning–based decoding, the work establishes a secure and intelligent encryption platform, showing a novel strategy that links chemical sensing ...
Zhengkun Zhan +7 more
wiley +1 more source

