Abstract: The present invention relates to the field of bio-pharmaceuticals and, in particular, to an anti-Siglec-15 antibody or an antigen binding fragment thereof, a nucleic acid sequence encoding the anti-Siglec-15 antibody of the present invention or an antigen binding fragment thereof, an expression vector containing the nucleic acid sequence, a host cell containing the expression vector, a composition or a bispecific antibody comprising the anti-Siglec-15 antibody of the present invention or an antigen binding fragment thereof, an immune conjugate comprising the anti-Siglec-15 antibody of the present invention or an antigen binding fragment thereof linked to a therapeutic agent, as well as use of the anti-Siglec-15 antibody of the present invention or an antigen binding fragment thereof in the preparation of a medicament for treatment of cancer.

Abstract: The present disclosure relates to a passive outlier-tolerant and active outlier-tolerant learning method with abnormal samples and a system thereof. The method includes the following steps: (1) judging the distribution of abnormal samples in a train set, and calling a corresponding outlier-tolerant algorithm based on the distribution to carry out feature learning on the sample feature quantity in the train set to obtain an outlier-tolerant learning result; (2) training an initial learning model by using the outlier-tolerant learning result to obtain an intermediate learning model; (3) processing the test set by a preset outlier-correction algorithm to obtain an outlier-corrected test set; (4) testing the intermediate learning model using the outlier-corrected test set to obtain a final learning model. The scheme of the present disclosure can improve the passive outlier tolerance and active outlier tolerance of a machine learning process to abnormal samples.

Abstract: The present invention provides an adsorbent and a method for preparation of the adsorbent, wherein, the average crystal grain diameter of 5A molecular sieves in the adsorbent is 0.2-2.1 ?m; measured on the basis of the dry weight of the adsorbent, the content of 5A molecular sieves in the adsorbent is 92 wt. % or higher; the breaking ratio of the adsorbent at 250N is 9% or lower.

Abstract: The present invention provides an adsorbent and a method for preparation of the adsorbent, wherein, the average crystal grain diameter of 5A molecular sieves in the adsorbent is 0.2-2.1 nm; measured on the basis of the dry weight of the adsorbent, the content of 5A molecular sieves in the adsorbent is 92 wt. % or higher; the breaking ratio of the adsorbent at 250N is 9% or lower.