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First Confirmed Nestings of Red-necked Grebe in York Region, Ontario
No full textOn 1 June 2019, the first recorded breeding by Red-necked Grebe (Podiceps grisgena) in York Region, Ontario, was established when a nest with one egg was found at the Moody Drive storm - water pond in the City of Vaughan. Although this nest was unsuccessful, a pair returned in 2020 and made another six unsuccessful nesting attempts. Also in 2020, another pair was found at the New Enterprise stormwater pond in Vaughan; they too made multiple unsuccessful nesting attempts. Both sites were reoccupied in 2021, and this time the pair at Moody Drive produced one young. In all three years, another pair of birds was also detected at Phillips Lake in Richmond Hill, also in York Region, but nesting was not confirmed. These events, following the first confirmed nesting record at a sewage lagoon in Durham Region (just east of Toronto) in 2018, involved a novel nesting habitat for this species, and perhaps a move towards usage of inland sites in southern Ontario, as opposed to sites along the Lake Ontario shore
System and method for the prediction of runway configuration and airport acceptance rate (AAR) for multi-airport system
No full textNumerical weather prediction data during a time period of interest for a multi-airport system is used to generate a three-dimensional (3-D) tensor data for the time period of interest. The 3-D tensor data is then used to predict hourly runway configurations for each of a plurality of airports of the multi-airport system during the time period of interest using the 3-D tensor data as input to a plurality of runway configuration convolutional neural networks (CNN) branches and to predict an AAR for each of the plurality of airports of the multi-airport system during the time period of interest using the 3-D tensor data as input to an airport acceptance rate (AAR) CNN branch. The predicted hourly runway configuration for each of the plurality of airports and the predicted AAR for each of the plurality of airports are then used to manage flights within the multi-airport system
Systems and methods for providing active contraction properties of the myocardium using limited clinical metrics
No full textA deep learning model can be used for the identification of active contraction properties of the myocardium using limited clinical methods. A method for identifying the active contraction properties can include inputting a plurality of clinical metrics into a deep learning model. The method can further include inputting a representation of a cardiac cycle through a pressure volume-loop into the deep learning model. The deep learning model can include a first process layer with a first intermediate output and a second process layer that receives the first intermediate output as a first intermediate input. The method can further include outputting one or more contraction properties of the myocardium
Compositions and uses thereof for treatment of idiopathic preterm birth
No full textDisclosed are compositions and methods for delaying or preventing idiopathic preterm birth
