Cost-effectiveness of metacognitive therapy for cardiac rehabilitation participants with symptoms of anxiety and/or depression: analysis of a randomised controlled trial.

Objectives: The burden of cardiovascular disease (CVD) is increasing. Cardiac rehabilitation (CR) is a complex intervention offered to patients with CVD, following a heart event, diagnosis or intervention, and it aims to reduce mortality and morbidity. The objective of this within-trial economic evaluation was to compare the cost-effectiveness of metacognitive therapy (MCT) plus usual care (UC) to UC, from a health and social care perspective in the UK.

System identification and fault reconstruction in solar plants via extended Kalman filter-based training of recurrent neural networks.

This article proposes using the extended Kalman filter (EKF) for recurrent neural network (RNN) training and fault estimation within a parabolic-trough solar plant. The initial step involves employing an RNN to model the system. Given the challenge of fault discernibility in the collectors, parallel EKFs are employed to reconstruct the parameters of the faults.

New Insights Into The Melanin Structure Of .

is a filamentous fungus with a global distribution, manifesting particularly higher prevalence in human-impacted environments. This organism is associated with a wide spectrum of human infections, especially in immunosuppressed individuals, for whom it causes severe and debilitating illnesses with high morbidity and mortality that are compounded by its pan-resistant profile with respect to antifungal drugs. Melanin is a ubiquitous pigment among fungi with a broad range of actions that include promoting fungal virulence.

Spatio-temporal Kriging for spatial irradiance estimation with short-term forecasting in a thermosolar power plant.

This article proposes a method to improve the efficiency of solar power plants by estimating and forecasting the spatial distribution of direct normal irradiance (DNI) using a sensor network and anemometer data. For this purpose, the proposed approach employs spatio-temporal kriging with an anisotropic spatio-temporal variogram that depends on wind speed to accurately estimate the distribution of DNI in real-time, making it useful for short-term forecast and nowcast of DNI. Finally, the method is validated using synthetic data from varying sky conditions, outperforming another state-of-the-art technique.