Ecological harm and criminal thresholds: A pilot legal-ecological coding framework for environmental crime judgments. [PDF]
Morelle-Hungría E.
europepmc +1 more source
Hydrogel‐forming microneedle (HFMN)‐reservoir patches provide a modular route for controlled transdermal delivery of hydrophilic biomacromolecules. The platform integrates skin‐barrier penetration, sustainable biopolymers, scalable green manufacturing, hydration‐driven transport, model‐cargo validation, and translational quality requirements.
Siddharth Mohanty +4 more
wiley +1 more source
Development and Validation of Machine Learning Models for Postjudgment Estimation of High Compensation Ratios After Lower Limb Fracture Surgery: Retrospective Study. [PDF]
Song L +10 more
europepmc +1 more source
Coarsening‐Resistant Ag Sinter Composites: Mechanistic Insights From Different Ag–Additive Systems
An Ag–WC sintered composite exhibiting superior resistance to thermal coarsening. Different particle‐reinforced Ag sinter composites showed markedly different microstructural responses to thermal aging. The comparison revealed that robust Ag–additive interfaces maintain grain‐boundary pinning, whereas insufficient interfacial stability results in the ...
Yang Liu +4 more
wiley +1 more source
Affinal parenthood after divorce: a socio-legal study of stepparent visitation rights in Peruvian blended families. [PDF]
Castilla-Cabezudo JL +4 more
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Judicial substitute consent for medical procedures in adults lacking decision-making capacity: a five-year experience from a Polish tertiary hospital. [PDF]
Sekuła M, Dubaj M, Patryn R.
europepmc +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source

