Implementing a machine learning model to predict continuation of contraception among women aged 15-49: secondary data analysis of the last 4 demographic and health surveys in the majority of West African countries. [PDF]
Magassouba AS +8 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
Toward a true understanding of consciousness: the explanatory power behind the non-physicalist paradigm. [PDF]
Keppler J.
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
The topological properties of the protein universe. [PDF]
Madsen CD +6 more
europepmc +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Metagenomic-scale analysis of the predicted protein structure universe
Steinegger M +10 more
europepmc +1 more source
Sensor wide association studies in digital medicine. [PDF]
Steckhan N, Broghammer F, Powell D.
europepmc +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Using wavelet decomposition to determine the dimension of structures from projected images. [PDF]
Mayboroda S, Spergel DN.
europepmc +1 more source

