Process integration for emerging challenges: optimal allocation of antivirals under resource constraints. [PDF]
Sy CL +11 more
europepmc +1 more source
Bone‐Inspired Recyclable Composites for Damage‐Tolerant Circular Materials
Bone‐inspired architected composites are developed by combining osteon‐like reinforcements with a recyclable Elium thermoplastic matrix. The hierarchical architecture redirects cracks and promotes energy dissipation, while enabling recovery of intact, aligned, load‐bearing reinforcement units that retain their original stiffness, revealing a route ...
Alessandro Stagni +4 more
wiley +1 more source
Managing incidental findings in total body PET/CT studies: balancing ethical considerations and resource constraints. [PDF]
Angelis GI +3 more
europepmc +1 more source
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar +9 more
wiley +1 more source
Scheduling optimization of ship plane block flow line considering dual resource constraints. [PDF]
Li J +5 more
europepmc +1 more source
Sustainable Na‐(Fe,Zn)Cl2 battery modules deliver discharge energies comparable to state‐of‐the‐art Na‐(Ni,Fe)Cl2 batteries through high active‐material utilization, although with lower power capability. Advanced electrochemical characterization reveals a distinct reaction mechanism and low resistance during Fe dechlorination.
Enea Svaluto‐Ferro +10 more
wiley +1 more source
Diagnostic performance of artificial intelligence for dermatological conditions: a systematic review focused on low- and middle-income countries to address resource constraints and improve access to specialist care. [PDF]
Uwishema O +9 more
europepmc +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Resource constraints, patient emotions, and therapy: experiences of healthcare providers in the screening and management of gestational diabetes mellitus in northern Ghana. [PDF]
Bukari M +5 more
europepmc +1 more source

