Time series processing and feature extraction are crucial time-intensive steps in conventional machine learning pipelines. Existing packages limited their applicability, as they cannot cope with irregularly-sampled or asynchronous data make strong assumptions about the format. Moreover, these do not focus on execution speed memory efficiency, resulting considerable overhead. We present tsflex ,...

nosocomial infection caused by methicillin-resistant staphylococci poses a serious problem in many countries. the aim of this study was to rapidly and reliably detect methicillin-resistant-staphylococci in order to suggest appropriate therapy. the presence or absence of the methicillin-resistance gene in 115 clinical isolates of staphylococcus aureus and 50 isolates of coagulase negative staphy...

lycopene is a natural and dominant pigment in tomato with coloring and antioxidant properties, which nowadays the demands for its extraction enhancement from tomato and tomato products are increasing. in this study, the effect of pectinase enzyme pre-treatment at 2- 10 ml/kg and also washing with 94% ethanol at 60°c for 5 seconds was studied. in these conditions, treating with 10 ml/kg enzyme c...

Real-time signal extraction (RTSE) concerns the determination of optimal asymmetric filters towards end a time series where ⎯otherwise desirable⎯ symmetric cannot be applied anymore. The attractiveness this particular estimation problem resides in generality its scope. For illustrative purposes we here stress realtime monitoring US-economy as well multi-step ahead forecasting. Traditionally, ad...