MoËT: Mixture of Expert Trees and its application to verifiable reinforcement learning.

Rapid advancements in deep learning have led to many recent breakthroughs. While deep learning models achieve superior performance, often statistically better than humans, their adoption into safety-critical settings, such as healthcare or self-driving cars is hindered by their inability to provide safety guarantees or to expose the inner workings of the model in a human understandable form. We present MoËT, a novel model based on Mixture of Experts, consisting of decision tree experts and a generalized linear model gating function.

Chelidonium majus crude extract inhibits migration and induces cell cycle arrest and apoptosis in tumor cell lines.

Ethnopharmacological Relevance: Chelidonium majus L (Papaveraceae) is widely used in alternative medicine for treatment of various disorders. Antitumor activities of alkaloids isolated from this plant have been reviewed, while there are only a few studies that examine properties of the whole extract.

Aim Of The Study: The aim of the present study was to investigate direct cytotoxic effects, as well as indirect antitumor effects of Chelidonium majus ethanolic extract against different tumor cell lines,.