Methodological consideration for a physical activity intervention in breast cancer population: An umbrella review

Objective: Breast cancer patients and survivors are increasing in the last years such as their mean age.A feasible and useful complementary intervention to improve physical and psychological health, and decrease some disease symptoms seems to be physical activity.Consequently, this umbrella review wanted to analyze the protocols of different physic

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Deep learning-based GoogLeNet-embedded no-pooling dimension fully-connected network for short-term wind power prediction

The dependence of wind power on the natural environment leads to volatility, which can cause hidden dangers to the safe and stable operation of the power grid.In this work, a parts deep learning-based GoogLeNet-embedded no-pooling dimension fully-connected prediction network is proposed for the short-term prediction issue of wind power generation,

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