Abstract: Disclosed are a bispecific recombinant protein and a use thereof. The bispecific recombinant protein comprises a first functional binding region, a second functional binding region and an Fc region; the first functional binding region comprises a first chain and a second chain, and a C-terminus of the first chain and a C-terminus of the second functional binding region are separately connected to an N-terminus of the Fc region directly or by means of a linker sequence; and a C-terminus of the second chain is connected to an N-terminus of the second functional binding region directly or by means of a linker sequence. Further disclosed is an application of the recombinant protein in terms of anti-tumor, anti-virus, liver disease treatment, and other applications. The recombinant protein may significantly improve the killing efficacy of target cells while significantly reducing toxic side effects caused by binding to non-target cells, and has good safety and good freeze-thaw stability.

Abstract: A wear state online monitoring method and system based on transfer learning and multi-source information fusion are provided. The method includes: separately collecting data of a friction pair to be monitored in a friction and wear testing state and in an on-ship state; performing feature extraction on the data of the friction pair to be monitored; based on the extracted features, performing feature transferring through transfer learning to obtain successfully transferred features; training a random forest model by using the successfully transferred features, and performing wear state monitoring by using the trained random forest model. The application achieves online monitoring of the wear states of the shafting, gearbox, and wear-prone components in marine and aerospace power plants.

Abstract: A GPC3-targeting antibody-interferon ? fusion protein and a use thereof are disclosed in this invention. The fusion protein consists of an A chain and a B chain; wherein the amino acid sequence of the A chain is as shown in SEQ ID NO: 1, and the amino acid sequence of the B chain is as shown in SEQ ID NO: 2. The killing effect on target cells, especially tumor cells, can be significantly improved, and toxic side effects caused by binding to non-target cells are significantly reduced. The fusion protein has better safety, lower production cost, and good freeze-thaw stability.

Abstract: A manufacturing method of a circuit board includes: providing a first double-sided copper laminate including a dielectric layer, a first copper foil layer and a copper plating layer, wherein the dielectric layer, wherein the dielectric layer defines a groove, the copper plating layer includes a first copper plating portion in the groove and a second copper plating portion beside the first copper plating portion. A double-sided circuit substrate including base layer and two first wiring layers is provided, wherein each first wiring layer includes a signal line. Conductive paste blocks are disposed in the base layer and on both sides of the signal line; and a first double-sided copper laminate is stacked on each side of the double-sided circuit substrate, disposing the signal line in the groove. The conductive paste blocks are pressed electrically connect same to the second copper plating portions. The present disclosure further provides a circuit board.

Abstract: Described herein are single chain polypeptides comprising both the b- and a-chains of insulin fused to each other by a linker. Also provided are nucleic acids coding for the same, host cells expressing the same, and methods of use therefor.

Abstract: In a data processing method performed by a chip comprising a processor and a computing core, the processor receives metadata of first data and metadata of second data. The second data is obtained by performing a first operation on the first data, and memory addresses corresponding to elements at adjacent positions in each row of the second data are discontinuous. The processor compares the metadata of the second data with the metadata of the first data to determine the first operation, and further determines a second operation matching the first operation. The computing core then obtains third data based on the first data and the second operation, wherein memory addresses corresponding to elements at adjacent positions in each row of the third data are continuous.

Abstract: A data processing method and system, and a related device are described. The data processing system includes a processor and a computing core. The method includes the processor receiving metadata of first data and metadata of second data, where the second data is obtained by performing a first operation set on the first data, the first operation set includes at least two first operations, and memory addresses corresponding to elements at adjacent positions in each row of the second data are discontinuous. The processor identifies the first operation set based on the metadata of the second data, and determines a second operation set that matches the first operation set. The computing core obtains third data based on the first data and the second operation set, where memory addresses corresponding to elements at adjacent positions in each row of the third data are continuous.

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: In accordance with an embodiment, a model processing method includes obtaining a machine learning model, where the machine learning model includes a flag bit; determining an operator queue of a first operator in the machine learning model, where the first operator is an operator corresponding to the flag bit in the machine learning model; determining a first computational graph of the operator queue; and training the machine learning model based on the first computational graph.

Abstract: Systems and methods are disclosed for monitoring models for bias. In one implementation, a system for automatically assessing a deployed model for selection of a cohort may include a processing device programmed to: apply the deployed model to data representing a first plurality of individuals, the data including at least one characteristic of the first plurality of individuals; based on the application, select a subset of the first plurality of individuals as a cohort; receive data representing a second plurality of individuals labeled as within the cohort, the data including the at least one characteristic of the second plurality of individuals; compare the selected subset and the second plurality of individuals along the at least one characteristic; and determine whether the comparison results in a difference between the selected subset and the second plurality of individuals greater than a threshold.

Abstract: For a problem that costs of matching a new data format by a current artificial intelligence system are high, an artificial intelligence system and a corresponding data processing method and apparatus are provided, to perform, based on an artificial intelligence task from a user, format conversion on input data corresponding to the artificial intelligence task, so that a data format used by the artificial intelligence system for processing the artificial intelligence task can be extended with low costs, and the artificial intelligence system can select a proper data format to process the artificial intelligence task.

Abstract: A tensor processing method by a first processor includes obtaining a plurality of first tensors; copying the plurality of first tensors into a second tensor, wherein the plurality of first tensors included in the second tensor occupy consecutive spaces in the second tensor; receiving a first processing instruction from a second processor, wherein the first processing instruction includes a first identifier that indicates the second tensor and a first processing identifier that indicates a first processing operation; and processing the second tensor based on the first processing operation.

Abstract: Recombinant protein coronavirus antigens and vaccine compositions using the same, include a recombinant protein that is a single-chain (SC) viral membrane protein complex derived from the spike (S), envelop (E) and membrane (M) protein of a coronaviruses such as SARS-CoV-2, the causal agent for COVID-19. Methods for immunization of a subject using the vaccine compositions treats or prevents clinical signs caused by coronaviruses infection.

Abstract: Systems and methods are disclosed for selecting cohorts. In one implementation, a model-assisted selection system for identifying candidates for placement into a cohort includes a data interface and at least one processing device. The at least one processing device is programmed to access, via the data interface, a database from which feature vectors associated with an individual from among a population of individuals can be derived; derive, for the individual, one or more feature vectors from the database; provide the one or more feature vectors to a model; receive an output from the model; and determine whether the individual from among the population of individuals is a candidate for the cohort based on the output received from the model.

Abstract: The disclosure provides 2-amino 4-nitrophenol and 2,4-diaminophenol derivatives, which can be used as anti-inflammatory drugs, prostaglandin E2 (PGE2) synthesis and activity inhibitors, and microsomal PGE2 synthase-1 (mPGES-1) inhibitors.

Abstract: The present disclosure provides use of non-steroidal anti-inflammatory compositions as described herein for used in the treatment of inflammation, inflammatory-related diseases, pain and/or fever.

Abstract: Systems and methods are disclosed for monitoring models for bias. In one implementation, a system for automatically assessing a deployed model for selection of a cohort may include a processing device programmed to: apply the deployed model to data representing a first plurality of individuals, the data including at least one characteristic of the first plurality of individuals; based on the application, select a subset of the first plurality of individuals as a cohort; receive data representing a second plurality of individuals labeled as within the cohort, the data including the at least one characteristic of the second plurality of individuals; compare the selected subset and the second plurality of individuals along the at least one characteristic; and determine whether the comparison results in a difference between the selected subset and the second plurality of individuals greater than a threshold.