Decision Theory and Proof Standards for Future Crimes: Possible Uses and Open Questions
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
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Structural and Technological Aspects of Improving the Accuracy of Worm Gears in the Processes of Design, Manufacturing, and Assembly. [PDF]
Kacalak W +4 more
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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
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A novel predictive model for abrasive waterjet deep hole drilling on AL7075 T6 using machine learning and evolutionary algorithmic approach. [PDF]
Chandar JB +6 more
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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
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A Multi-Response Investigation of Abrasive Waterjet Machining Parameters on the Surface Integrity of Twinning-Induced Plasticity (TWIP) Steel. [PDF]
Cavusoglu O.
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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
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Atomic Insight into the Nano-Grinding Mechanism of Reaction-Bonded Silicon Carbide: Effect of Abrasive Size. [PDF]
Mo H, Chen X, Luo C, Cai X.
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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
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Surface Roughness Uniformity Improvement of Additively Manufactured Channels' Internal Corners by Liquid Metal-Driven Abrasive Flow Polishing. [PDF]
Ma Y, Li K, Feng B, Zhang L.
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