Newport defines deep work as, “the professional activities performed in a state of distraction-free concentration that pushes your cognitive capabilities to their limit”. Basically, deep work is work that you do with all of your focus on the job at hand, resulting in greater productivity and ...
Work replaced by idle time is not so important. Your ability to work deep in one day is limited. After reaching your maximum load during your workday, you should not be afraid to stop and rest. After all, you will not be able to continue working efficiently, and your efforts will be ...
Download references Acknowledgements This work was supported by the National Key R&D Program of China (grant no. 2022ZD0118201 to J.C.), the Shenzhen Medical Research Funds in China (grant no. B2302037 to J.C.), the National Natural Science Foundation of China (grant nos. 62425101 and 6208...
Hardware dependencies Can work on low-end machines. It doesn't need a large amount of computational power. Depends on high-end machines. It inherently does a large number of matrix multiplication operations. A GPU can efficiently optimize these operations. Featurization process Requires features to ...
Many thanks to @KirillSklyarenko for his work on integrating the microsoft translator License MIT license Copyright (c) 2020-present, Nidhal Baccouri Swagger UI deep-translator offers an api server for easy integration with other applications. Non python applications can communicate with the api dire...
“Objectives” section, the search and selection process is introduced in the “Materials and methods” section, the results in the “Results” section, the discussion of these selected papers in the “Conclusions” section, and the limitation of our work and our future goals in the “...
The work reported in this paper aims to address these shortcomings. The main contributions of this study are listed below: • The development of a new deep-learning-based platform for optimising sheet stamping geometries with small-scale local features (e.g., fillet radii) subject to ...
as the dispersion does not seem to be constant over the whole range of the expected claim sizes. We therefore explore adouble FN network model, in spirit this is similar to the double GLM of Sect.5.5. We therefore assume to work within Tweedie’s family with power variance parametersp ...
By contrast, temporal models do not require additional labeling or training, can be used with visually hard-to-distinguish animals and can work downstream of any standard pose-estimation approach. We offer both approaches in SLEAP. Detection and control of behavior in real time Real-time ...
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