Next-Generation Pharmacotherapy for Depressive Disorders: From Novel Compounds to Optimized Use of Available Drugs. [PDF]
Bu F +6 more
europepmc +1 more source
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
DGOMapping: Real-Time Multi-Agent Mapping Based on 4D Gaussian Splatting. [PDF]
Li Y, Wu F, Ye P, Jia Q.
europepmc +1 more source
Low‐temperature imidization of PEG‐modified polyimide enables fully screen‐printed, roll‐to‐roll fabrication of flexible electrodes on PET substrates, delivering robust mechanical durability and reliable ECG/EMG signal performance for wearable electronics.
Akib Abdullah Khan, Jong‐Hoon Kim
wiley +1 more source
Preventive spare parts supply strategy for large-scale equipment based on performance degradation. [PDF]
Gao Y +5 more
europepmc +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Verification of the value of optimization of the medication-related clinical decision support system in China, a hospital-based study. [PDF]
Ran S +8 more
europepmc +1 more source
A two-stage framework for cost-sensitive predictive maintenance using deep learning, GANs, and risk-aware clustering. [PDF]
Hakami A.
europepmc +1 more source
Instrumentation Digital Twins in PET and SPECT Imaging: Current Status, Challenges, and Future Directions. [PDF]
Azimi MS +7 more
europepmc +1 more source
Comparative analysis of support vector machines, artificial neural network, random forest and gradient boosting for predictive maintenance in mining machinery and equipment: a case study of Chadormalu Iron Ore Mine. [PDF]
Alvars OA, Afraei S, Ataee-Pour M.
europepmc +1 more source

