Abstract: A deep learning-based method for fusing multi-source urban energy data and a storage medium are provided to perform data fusion on multi-source urban energy data found in big data and perform multi-scale and multimodal information fusion by using a cross-modal transformer, thereby implementing cross-modal mutual fusion of multi-source heterogeneous types of data to obtain a fused feature for prediction of a quantity of energy that will be used in the future and a quantity of energy that needs to be produced. The present disclosure proposes a multi-scale cooperative multimodal transformer architecture to enhance an effect of representation learned from an unaligned multimodal sequence. Not only there is a higher degree of correlation in multi-source urban energy data fusion, but also a system becomes more lightweight.

Abstract: A Fc-CD80 fusion protein has a CD80 extracellular domain (ECD) linked to a C-terminal of an immunoglobulin Fc domain. The Fc-CD80 fusion protein can be used for the preparation of a conjugate, the conjugate including the Fc-CD80 fusion protein as a first component, and a second component containing a second effector molecule, the second component being located at an N-terminal of the first component. In addition, a conjugate including the Fc-CD80 fusion protein, a pharmaceutical composition including the Fc-CD80 fusion protein and/or the conjugate are effective for the treatment or prevention of cancerous diseases in individuals.

Abstract: The invention relates to the field of medical biotechnology. Specifically, the present invention relates to a fusion protein containing an anti-interleukin-17 antibody and a tumor necrosis factor receptor extracellular region, a polynucleotide encoding the fusion protein, a vector comprising the polynucleotide, a host cell comprising the polynucleotide or the vector, and the use of the fusion protein for the treatment, prevention, and/or diagnosis of a related disease in an individual.

Abstract: The present invention provides a multi-targeting fusion protein that blocks the growth of vascular endothelial cells and activates T cells, which comprises (i) a vascular endothelial cell growth inhibitory domain; (ii) an immunoglobulin Fc domain; and (iii) CD80 extracellular domain (ECD). The present invention also provides a polynucleotide encoding the multi-targeting fusion protein, a vector containing the polynucleotide, a host cell comprising the polynucleotide or the vector, and pharmaceutical composition comprising the multi-targeting fusion protein and an anti-PD-1 antibody. The multi-targeting fusion protein and pharmaceutical composition of the present invention can treat or prevent cancerous diseases in individuals.

Abstract: The invention relates to the field of medical biotechnology. Specifically, the present invention relates to a fusion protein containing an anti-interleukin-17 antibody and a tumor necrosis factor receptor extracellular region, a polynucleotide encoding the fusion protein, a vector comprising the polynucleotide, a host cell comprising the polynucleotide or the vector, and the use of the fusion protein for the treatment, prevention, and/or diagnosis of a related disease in an individual.