DEEP LEARNING NEURAL NETWORKS TRAINED WITH MODIS SATELLITE-DERIVED PREDICTORS FOR LONG-TERM GLOBAL SOLAR RADIATION PREDICTION

Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction

Solar energy predictive models designed to emulate the long-term (e.g., monthly) global solar radiation (GSR) trained with satellite-derived predictors can be employed as decision tenets in the exploration, installation and management of solar energy production systems in remote and inaccessible solar-powered sites.In spite of a plethora of models

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The antibacterial and antifungal activity of six essential oils and their cyto/genotoxicity to human HEL 12469 cells

Abstract Six essential oils (from oregano, thyme, clove, lavender, clary sage, and arborvitae) exhibited different antibacterial and antifungal properties.Antimicrobial activity was shown against pathogenic (Escherichia coli, Salmonella typhimurium, Yersinia enterocolitica, Staphylococcus aureus, Listeria monocytogenes, and Enterococcus faecalis) a

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Acupuncture for acute musculoskeletal pain management in the emergency department and continuity clinic: a protocol for an adaptive pragmatic randomised controlled trial

Introduction Chronic musculoskeletal pain causes a significant burden on health and quality of life and may result from inadequate treatment of acute musculoskeletal pain.The emergency department (ED) represents a novel setting in which to test non-pharmacological interventions early Flower Shadow Box in the pain trajectory to prevent the transitio

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