A networked station system for high-resolution wind nowcasting in air traffic operations: A data-augmented deep learning approach.

This study introduces a high-resolution wind nowcasting model designed for aviation applications at Madeira International Airport, a location known for its complex wind patterns. By using data from a network of six meteorological stations and deep learning techniques, the produced model is capable of predicting wind speed and direction up to 30-minute ahead with 1-minute temporal resolution. The optimized architecture demonstrated robust predictive performance across all forecast horizons.

Effects of Trifolium pratense and Cimicifuga racemosa on the endometrium of Wistar rats.

Objective: The aim of this study was to evaluate the effects of Trifolium pratense and Cimicifuga racemosa upon the endometrium of castrated female Wistar rats, comparing these results with a placebo and estradiol valerate.

Methods: Thirty-two adult castrated female Wistar rats were divided into four groups (eight rats per group) that receiving either tap water, estradiol valerate, isoflavones from T. pratense or deoxyactein from C.