1,721,419 research outputs found
Il miele e l’amaro. Lettura misticosapienziale dell’Apocalisse
No full textAntonietta Potente, Il miele e l’amaro. Lettura misticosapienziale dell’Apocalisse, Milán: Paoline, 2021Antonietta Potente, Il miele e l’amaro. Lettura misticosapienziale dell’Apocalisse, Milán: Paoline, 2021Antonietta Potente, Il miele e l’amaro. Lettura misticosapienziale dell’Apocalisse, Milán: Paoline, 202
Il miele e l’amaro. Lettura mistico - sapienziale dell’Apocalisse, Antonietta Potente
Full text linkObra ressenyada: Antonietta POTENTE, Il miele e l'amaro. Lettura mistico-sapienziale dell'Apocalisse. Milán: Paoline Editoriale, 2021
Evaluation of EBV Status and Thiopurine Use in Pediatric Inflammatory Bowel Disease: Time to be a Standard of Care
No full textImplementation and Widespread of Inflammatory Bowel Disease Vaccination and Immunization Guidelines: Not an Easy Task
No full textOn the use of artificial Intelligence for condition monitoring in horizontal-axis wind turbines
Full text linkWind power is one of the fastest-growing renewable energy sectors and is
considered instrumental in the ongoing decarbonization process. However, wind turbines (WTs)
present high operation and maintenance costs caused by inefficiencies and failures, leading
to ever-increasing attention to effective Condition Monitoring (CM) strategies. Nowadays,
modern WTs are integrated with sensor networks as part of the Supervisory Control and
Data Acquisition (SCADA) system for supervision purposes. CM of wind farms through
predictive models based on routinely collected SCADA data is envisaged as a viable mean
of improving producibility by spotting operational inefficiencies. In this paper, we introduce
an unsupervised anomaly detection framework for wind turbine using SCADA data. It
involves the use of a multivariate feature selection algorithm based on a novel Combined
Power Predictive Score (CPPS), where the information content of combinations of variables
is considered for the prediction of one or more key parameters. The framework has been tested
on SCADA data collected from an off-shore wind farm, and the results showed that it successfully
detects anomalies and anticipates major bearing failures by outperforming a recent deep neural
approach
Strumenti litici per la caccia nel sito-eneolitico Abealzu e quello paleolitico di Pero Spaccone
No full text
Aspetti biochimici ed istochimici degli effetti dell'aminoglutetimide e della reserpina sulla midollare del surrene del ratto
No full textAspetti istochimici e biochimici dell'azione della reserpina sulla midollare del surrene di ratto
No full text- …
