Anomaly Detection Method for Rocket Engines Based on Convex Optimized Information Fusion.

The power system, as a core component of a launch vehicle, has a crucial impact on the reliability and safety of a rocket launch. Due to the limited measurement information inside the engine, it is often challenging to realize fast and accurate anomaly detection. For this reason, this paper introduces the rocket flight state data to expand the information source for anomaly detection.

Ibrutinib resistance in a patient with transformed diffuse large B-cell lymphoma from primary pulmonary mucosa-associated lymphoid tissue lymphoma.

Extranodal marginal zone lymphoma of mucosa-associated lymphoid tissue (MALT) lymphoma is rare among lung neoplasia cases, representing only 0.5%-1% of newly diagnosed primary lung lymphoma. MALT lymphoma with relapsed refractory and malignant transformation is highly heterogeneous and consensus therapy remains undetermined.

A Data-Driven Aero-Engine Degradation Prognostic Strategy.

Degradation prognostics of aero-engine are a well-recognized challenging issue. Data-driven prognostic techniques have been receiving attention because they rely on neither expert knowledge nor mathematic model of the system. But they are highly dependent on the quantity and quality of degradation data.