All convolutions in a dense block are ReLU-activated and use batch normalization. Channel-wise concatenation is barely achievable if the height and width Proportions of the data remain unchanged, so convolutions in a dense block are all of stride one. Pooling layers are inserted between dense blocks for more dimensionality https://financefeeds.com/plus500-share-included-in-stoxx-europe-600-index/