Applying Implementation Science to Secure a Sustainable Supply of UNIMMAP MMS for National Antenatal Care Services in Indonesia. [PDF]
Holik HA +10 more
europepmc +1 more source
Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
wiley +1 more source
Tibetan-PASEM: Phonology-Aware Speech Evidence Matching for Low-Resource Tibetan Written-Query Keyword Spotting. [PDF]
Guo Y +5 more
europepmc +1 more source
Local borrowings as a tool for replenishing local budget income
Vira Kruhliakova, Veronika Ishchenko
doaj +1 more source
A physics‐guided generative surrogate framework is developed for programmable metasurface beamforming. Mode‐conditioned binary state generation, aperture‐physics prediction, routed residual correction, NSGA‐II optimization, and CST validation are combined to support fast candidate screening and full‐wave beam refinement across single‐beam, dual‐beam ...
Wenqian Liu +4 more
wiley +1 more source
Differentially private federated learning for localized control of infectious disease dynamics. [PDF]
Kerkouche R +3 more
europepmc +1 more source
Environmental Effects on RRAM Cells Based on 2D Halide Perovskite Materials
RRAM offers high speed, scalability, and low power, positioning it as a next‐generation non‐volatile memory. Two‐dimensional halide perovskites show promise due to tunable optoelectronic properties and flexible processing but suffer from environmental sensitivity. This review examines degradation from humidity, temperature, light, and strain, discusses
Mojtaba Joodaki +3 more
wiley +1 more source
Cost-utility and budget impact analysis of herpes zoster vaccines in Thai patients with end-stage renal disease. [PDF]
Kulthanachairojana N +4 more
europepmc +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
DynamicFU: Contribution-Aware Dynamic Federated Unlearning for Industrial IoT. [PDF]
Wu Z, He B, Si Z, Liao X, Su C.
europepmc +1 more source

