Explainable AI-Driven Quality and Condition Monitoring in Smart Manufacturing. [PDF]
Ahangar MN +4 more
europepmc +1 more source
Cuttlebone‐inspired architected metamaterials introduce controlled structural disorder to simultaneously enhance strength, energy absorption, and compressive stability. Tunable disorder suppresses shear anisotropy, outperforms periodic lattices, and establishes discrete randomness as a robust route to high‐performance lightweight mechanical ...
Zengqin Shi +7 more
wiley +1 more source
Polyester Resin-Quartz Composites in the Age of Artificial Intelligence and Digital Twins: Current Advances, Future Perspectives and an Application Example. [PDF]
Suess M, Kurzweil P.
europepmc +1 more source
Nano Carbon‐mesh with Excellent Bonding Performance via Hydro‐cage De‐shielding Strategy
A hydro‐cage de‐shielding strategy transforms cellulose‐based films into a dragonfly‐wing‐like nano carbon‐mesh (NCM) adhesive through instantaneous carbonization‐polymerization. The resulting NCM‐plywood achieves exceptional wet shear strength (1.24 MPa at 63°C), exceeding Class II plywood standards, and retains 0.73 MPa after boiling‐water cycles ...
Weijia Yang +14 more
wiley +1 more source
Amyloid-beta-targeting monoclonal antibodies for people with mild cognitive impairment or mild dementia due to Alzheimer's disease. [PDF]
Nonino F +10 more
europepmc +1 more source
Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang +11 more
wiley +1 more source
Study on the spatiotemporal evolution and convergence of value conversion efficiency of forest ecological products: a case study of the southern collective forest area. [PDF]
Ye J, Quan Q, Xie F, Lin K, Chen L.
europepmc +1 more source
This review presents an integrated design roadmap for practical lithium–sulfur batteries, moving beyond isolated material breakthroughs to the synergistic combination of three interdependent frontiers: Scale‐Up, Electrolyte‐Cathode Synergy, and AI/ML Data‐Driven Design.
Shihzad Shakil +6 more
wiley +1 more source
Prediction of Esterification and Antioxidant Properties of Food-Derived Fatty Acids and Ascorbic Acid Based on Machine Learning: A Review. [PDF]
Wang X +5 more
europepmc +1 more source

