Pyrat XO Reserve Rum, 70 cl

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Shake all ingredients except Cranberry Juice, Strain over fresh ice and finish with soda Citrus Cooler many more examples like that, so please remember that PyRAT offers 'only' a collection of singular tools, not

The function Reports(), which summarizes data from several animals, receives as input the lists with DataFrames and the file names, as well as the body part of interest to extract the metrics and, if necessary, an area to calculate interactions: list_df=[df01,df02,df03,df04,df05,df06, Toshev A., Szegedy C. (2014). “Deeppose: human pose estimation via deep neural networks,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (Columbus, OH: IEEE; ), 1653–1660. [ Google Scholar] Gonzalez M. C., Rossato J. I., Radiske A., Reis M. P., Cammarota M. (2019). Recognition memory reconsolidation requires hippocampal zif268. Sci. Rep. 9, 1–11. 10.1038/s41598-019-53005-8 [ PMC free article] [ PubMed] [ CrossRef] [ Google Scholar] Deep learning (DL) and computer vision research fields are improving the performance of image, video and audio data processing ( Krizhevsky et al., 2012). The use of these approaches to estimate human and animal pose is increasing rapidly. This new direction stems from several factors, including improved feature extraction, high scalability to data, availability of low-cost hardware designed for DL, and pre-trained models ready for deployment ( Toshev and Szegedy, 2014; Redmon et al., 2016; Ilg et al., 2017; Levine et al., 2018; Nath et al., 2019).Finally, for a cheeky take on a hot drink – try Pyrat Rum with coffee. You can mix a combination of hot coffee with sweeteners like sugar or condensed milk, spices like nutmeg, cinnamon, or cardamom, and rum like Pyrat Rum XO Reserve. Or if you’re wanting something refreshing for the summer, you could chill your coffee, and then mix any combination of these ingredients over ice instead.

are the ones needed. In some cases, an entire chain of steps are required to get the desired results.

3. Results

A) Image showing the trajectory of one rat for 120 s based on the snout coordinates. (B) Image showing rat body orientation during the entire object exploration session. (C) Average heatmap during the entire object exploration session. (D) Top: Object interaction across the entire object exploration session; Bottom left: Bar plot showing interaction time with objects A and A'; Bottom right: Bar plot showing the number of interactions with object A and A'. Data are expressed as mean ± SD.