Exploring Supply Chain Visibility for Circularity: A Delphi Approach
ABSTRACT Circular supply chains (CSCs) depend on enhanced supply chain visibility (SCV) to track and manage resource flows and thereby enable efficient decision‐making. Despite confronting silo mentalities, fragmented information, technological barriers, resistance to change, and a lack of standardization, data sharing remains crucial for SCV and ...
Tarun Kumar Agrawal +7 more
wiley +1 more source
Visibility graph analysis for educational data: potentials and a case study of predicting at-risk online students. [PDF]
Azizi H +3 more
europepmc +1 more source
Fueling Tomorrow: Scenario Planning for the Future of Gas Stations
ABSTRACT Transport electrification is reshaping the service infrastructures that mediate everyday mobility, yet most electrification scenario studies remain macrolevel and offer limited insight into how incumbent forecourt (gas‐station) networks can adapt under deep uncertainty.
Joao Gabriel Rosa +2 more
wiley +1 more source
Integrating NLP and Ensemble Learning into Next-Generation Firewalls for Robust Malware Detection in Edge Computing. [PDF]
Moila RL, Velempini M.
europepmc +1 more source
Here, we design a flexible and non‐flammable solid‐state electrolyte with hierarchical dual‐ion conductive channels. The engineered electrolyte combines continuous organic conductive‐phase pathways for fast bulk Li+ transport and dynamic polymer networks for interfacial ion hopping, achieving unprecedented room temperature conductivity (> 1 mS cm−1 ...
Yijing Liu +7 more
wiley +1 more source
Dynamic graph-based quantum feature selection for accurate fetal plane classification in ultrasound imaging. [PDF]
Priyadharshni S, Ravi V.
europepmc +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Network evolution of centrality maximizing agents: An empirical evidence of nestedness emergence. [PDF]
Wang Y, Cui M, Lin J, Tessone CJ.
europepmc +1 more source
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza +3 more
wiley +1 more source
Research on Joint Game-Theoretic Modeling of Network Attack and Defense Under Incomplete Information. [PDF]
Wang Y, Liu X, Yu X.
europepmc +1 more source

