Abstract: An identification method of urban functional areas based on mixing degree of functions and integrated learning includes the following steps: 1) performing data acquisition and preprocessing; 2) constructing 10 indicator features of an urban functional area identification system; 3) structuring the indicator features: acquiring, by a spatial statistical tool, the 10 indicator features corresponding to each parcel; 4) constructing an independent variable dataset; 5) labeling response variables; 6) dividing a training dataset into a plurality of training subsets according to the mixing degree of functions; 7) training a Stacking-based integrated learning model; and 8) joining an attribute in one table to another table, so as to complete the identification of the urban functional areas on each parcel. The identification method divides the training dataset by grading the mixing degree of functions, and makes predictions based on the prediction dataset with corresponding mixing degree of functions.

Abstract: The present invention provide anti-human IL6 monoclonal antibodies, amino acid sequences of the variable region of the heavy chain and of the variable region of the light chain thereof, and encoding nucleotide sequences thereof. The present invention also provides a method for preparing the anti-human IL6 monoclonal antibodies and use of the anti-human IL6 monoclonal antibodies in the preparation of an antitumor drug. The present anti-human IL6 monoclonal antibodies can inhibit cell proliferation by blocking an IL6 signal pathway, thereby achieving the purpose of tumor immunotherapy.