Levosimendan in outpatients with advanced heart failure: Single-center experience of 200 intermittent perfusions.

Introduction: Patients with advanced heart failure (HF) have high morbidity and mortality, with only a small proportion being eligible for advanced therapies. Intermittent outpatient levosimendan infusion has been shown to provide symptomatic relief and reduce the rate of HF events. Our aim was to assess the safety and efficacy of outpatient levosimendan administration in an advanced HF population.

SOLETE, a 15-month long holistic dataset including: Meteorology, co-located wind and solar PV power from.

The aim of the SOLETE dataset is to support researchers in the meteorological, solar and wind power forecasting fields. Particularly, co-located wind and solar installations have gained relevance due to the rise of hybrid power plants and systems. The dataset has been recorded in SYSLAB, a laboratory for distributed energy resources located in Denmark.

Increasing the Accuracy of Hourly Multi-Output Solar Power Forecast with Physics-Informed Machine Learning.

Machine Learning (ML)-based methods have been identified as capable of providing up to one day ahead Photovoltaic (PV) power forecasts. In this research, we introduce a generic physical model of a PV system into ML predictors to forecast from one to three days ahead. The only requirement is a basic dataset including power, wind speed and air temperature measurements.

Identification, rearing, and distribution of stick insects of Madeira Island: an example of raising biodiversity awareness.

Two species of stick insects are currently known to be present in the Macaronesian archipelagos: Clonopsis gallica (Charpentier) (Phasmatodea: Bacillidae) on the Canary Islands and in the Azores and Carausius morosus (Sinéty) (Phasmatidae) in the Azores. Here, we provide the first reliable records of the presence and distribution of C. gallica and C.