Results 161 to 170 of about 1,948 (255)

Decision Theory and Proof Standards for Future Crimes: Possible Uses and Open Questions

open access: yesBehavioral Sciences &the Law, EarlyView.
ABSTRACT What should be the proof standard for applying preventive criminal sanctions based on an establishment of risk of reoffending? This is an open question in legal systems around the world. Various authors suggest that we can answer it by using decision theory. This approach conceptualises the proof standard as a probabilistic threshold. A person
Hylke Jellema, Johannes Bijlsma
wiley   +1 more source

Engineering Biochar‐Derived Functional Materials for High‐Performance Supercapacitors: Design Principles, Mechanisms, and Scalable Strategies

open access: yesCarbon Energy, EarlyView.
ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal   +6 more
wiley   +1 more source

Engineering Mechanically Adaptive Nanonetworks for Long‐Life and High‐Capacity Silicon Anode Batteries

open access: yesCarbon Energy, EarlyView.
ABSTRACT Silicon anodes, with a theoretical capacity of ~ $\unicode{x0007E}$3860 mAh g−1, offer more than ten times the lithium storage of graphite but suffer from large volume expansion during lithiation, leading to particle fracture, electrical disconnection, and unstable solid–electrolyte interphases (SEIs).
Yangyul Ju   +6 more
wiley   +1 more source

All‐in‐One Intelligent Hemostatic Sponge: Rapid Hemostasis for Non‐Compressive Wounds With Synergetic Enhanced Antibacterial Efficacy and Self‐Reporting Biodegradation

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Clinicians often concurrently tackle critical challenges including emergency hemorrhage, secondary infection, and the elusive tracking of biodegradation of conventional hemostatic agents for complex wounds. Here, we report an intelligent hemostatic sponge (spCS@AIE) by incorporating aggregation‐induced emission (AIE) nanoparticles with short‐wave ...
Zhicheng Liu   +12 more
wiley   +1 more source

Inter‐Material Transfer Learning for Accelerated Nanofluid Heat Transfer Prediction: A Machine Learning Approach for Energy Systems

open access: yesEnergy Science &Engineering, EarlyView.
This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah   +2 more
wiley   +1 more source

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