Federated learning is a newly emerged distributed machine learning paradigm, where the clients are allowed to individually train local deep neural network (DNN) models with local data and then jointly aggregate a global DNN model at the central server.Vehicular edge computing (VEC) aims at exploiting the computation and communication resources at t
High-quality ontologies are critical to ontology-based applications, such as natural language telemarkskongen flue understanding and information extraction, but logical conflicts naturally occur in the lifecycle of ontology development.To deal with such conflicts, conflict detection and ontology repair become two critical tasks, and we focus on rep
Background and objective: There are many histological types of colorectal polyps.Most of these polyps are benign epithelial polyps harboring very low risks of cancerous changes.Adenomatous polyps are the most known cancer precursors.Cyclin D1 gene amplification and or overexpression occurs in many human cancers.Cyclin D1 participates potentially in
Background/Aims: Fetal metabolism may be changed by the exposure to maternal factors, and the route to obesity may already set in utero.Cord blood metabolites might predict growth patterns and later obesity.We aimed to characterize associations of cord blood with birth weight, postnatal weight gain, and BMI in adolescence.Methods: Over 700 cord blo