Abstract: The present invention relates to the technical field of endoscopes, and discloses a confocal endoscope with a fixing device.

Abstract: A monoclonal antibody or a derivative thereof that binds to a human TIGIT antigen with high-affinity and antagonistically inhibits the binding of TIGIT to a ligand thereof such as CD155 is provided. Amino acid sequences of antigen complementarity-determining regions CDR-L1, CDR-L2 and CDR-L3 of an antibody light chain variable region, and amino acid sequences of antigen complementarity-determining regions CDR-H1, CDR-H2 and CDR-H3 of an antibody heavy chain variable region are specified. Further, a humanization preparation method for the antibody and amino acid sequences of the heavy chain variable region and light chain variable region of the humanized antibody are provided. The antibody or the derivative thereof can serve as an ingredient of a pharmaceutical composition or can be prepared into an appropriate drug preparation, and administered alone or in combination with other medications, such as an anti-PD-1 monoclonal antibody, or treatment means, for treating diseases such as tumors.

Abstract: Provided are a method and system for displaying a virtual prop in a real environment image, and a terminal device. The method is implemented by a head-mounted device. In the method, a scene editing interface and a virtual ray on the real environment image are superposed and displayed the scene editing interface contains a prop selection list, and the prop selection list contains a prop selection control corresponding to at least one virtual prop; the virtual ray is moved to intersect with a target prop selection control in the real environment image based on ray adjustment data; and in response to a first control instruction, a target virtual prop corresponding to the target prop selection control is displayed in the real environment image.

Abstract: A monoclonal antibody or a derivative thereof that binds to a human TIGIT antigen with high-affinity and antagonistically inhibits the binding of TIGIT to a ligand thereof such as CD155 is provided. Amino acid sequences of antigen complementarity-determining regions CDR-L1, CDR-L2 and CDR-L3 of an antibody light chain variable region, and amino acid sequences of antigen complementarity-determining regions CDR-H1, CDR-H2 and CDR-H3 of an antibody heavy chain variable region are specified. Further, a humanization preparation method for the antibody and amino acid sequences of the heavy chain variable region and light chain variable region of the humanized antibody are provided. The antibody or the derivative thereof can serve as an ingredient of a pharmaceutical composition or can be prepared into an appropriate drug preparation, and administered alone or in combination with other medications, such as an anti-PD-1 monoclonal antibody, or treatment means, for treating diseases such as tumors.

Abstract: Provided is a coverage indicator prediction method. The method includes: obtaining a wireless cell feature of a wireless cell to be predicted, a geographical environment feature of the wireless cell to be predicted, a grid geographical environment feature, and a feature of a wireless propagation path from the wireless cell to be predicted to a corresponding grid, where grids are obtained by dividing a designated region; and predicting, according to the wireless cell feature of the wireless cell to be predicted, the geographical environment feature of the wireless cell to be predicted, the grid geographical environment feature, and the feature of the wireless propagation path from the wireless cell to be predicted to the corresponding grid, a coverage indicator value of the grids using a trained coverage indicator prediction model. Coverage indicator prediction apparatus, model training method and apparatus, electronic device, and computer-readable storage medium are also provided.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that dynamically modify content distribution campaigns based on triggering conditions and actions. In particular, systems described herein can provide a user interface for display to a publisher device that includes a plurality of selectable options for setting triggering conditions and/or actions. For example, the disclosed systems can utilize a machine learning model to generate suggested triggering conditions and/or actions for one or more content distribution campaigns of a provider. Moreover, the disclosed systems can generate custom rules based on selected triggering conditions and actions and apply the custom rules during execution of digital content campaigns. For instance, the disclosed systems can monitor performance of content campaigns, detect triggering conditions, and dynamically modify digital content campaigns based on actions corresponding to the triggering conditions.

Abstract: The present invention relates to the technical field of endoscopes, and discloses a confocal endoscope with a fixing device.

Abstract: Aspects of this disclosure relate to systems, devices, and methods for the transfer of fluid to fluidic receptacles. In some embodiments, the fluid contains one or more molecules (e.g., one or more peptides, proteins, and/or nucleic acids) of interest, and the fluidic receptacle includes an integrated device. In certain embodiments, the one or more molecules can be immobilized on the integrated device for subsequent analysis (e.g., sequencing). Certain aspects of the present disclosure are directed towards systems and methods that can, in some instances, enhance the immobilization of the one or more molecules on the integrated device, e.g., by improving a rate of sample interaction with the integrated device. Through the use of systems, devices, and methods of the instant disclosure, target molecules may be more readily sequenced or prepared for sequencing.

Abstract: Aspects of this disclosure relate to systems, devices, and methods for the transfer of fluid to fluidic receptacles. In some embodiments, the fluid contains one or more molecules (e.g., one or more peptides, proteins, and/or nucleic acids) of interest, and the fluidic receptacle includes an integrated device. In certain embodiments, the one or more molecules can be immobilized on the integrated device for subsequent analysis (e.g., sequencing). Certain aspects of the present disclosure are directed towards systems and methods that can, in some instances, enhance the immobilization of the one or more molecules on the integrated device, e.g., by improving a rate of sample interaction with the integrated device. Through the use of systems, devices, and methods of the instant disclosure, target molecules may be more readily sequenced or prepared for sequencing.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that dynamically modify content distribution campaigns based on triggering conditions and actions. In particular, systems described herein can provide a user interface for display to a publisher device that includes a plurality of selectable options for setting triggering conditions and/or actions. For example, the disclosed systems can utilize a machine learning model to generate suggested triggering conditions and/or actions for one or more content distribution campaigns of a provider. Moreover, the disclosed systems can generate custom rules based on selected triggering conditions and actions and apply the custom rules during execution of digital content campaigns. For instance, the disclosed systems can monitor performance of content campaigns, detect triggering conditions, and dynamically modify digital content campaigns based on actions corresponding to the triggering conditions.

Abstract: The invention generally relates to methods for analyzing a tissue sample. In certain aspects, the invention provides methods that involve obtaining a tissue sample including an unsaturated compound, conducting a radical reaction on the tissue sample that targets a carbon-carbon double bond within the unsaturated compound to thereby produce a plurality of compound isomers, subjecting the plurality of compound isomers to mass spectrometry analysis to identify a location of the carbon-carbon double bond within the unsaturated compound, and quantifying the plurality of compound isomers in order to distinguish normal tissue from diseased tissue.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that dynamically modify content distribution campaigns based on triggering conditions and actions. In particular, systems described herein can provide a user interface for display to a publisher device that includes a plurality of selectable options for setting triggering conditions and/or actions. For example, the disclosed systems can utilize a machine learning model to generate suggested triggering conditions and/or actions for one or more content distribution campaigns of a provider. Moreover, the disclosed systems can generate custom rules based on selected triggering conditions and actions and apply the custom rules during execution of digital content campaigns. For instance, the disclosed systems can monitor performance of content campaigns, detect triggering conditions, and dynamically modify digital content campaigns based on actions corresponding to the triggering conditions.

Abstract: A monoclonal antibody specifically binding to human and monkey CD38 antigens or a derivative thereof includes: antigen complementarity-determining regions CDR1, CDR2 and CDR3 of an antibody light chain variable region having amino acid sequences as set forth in SEQ ID NO: 3, SEQ ID NO: 4 and SEQ ID NO: 5, respectively; and antigen complementarity-determining regions CDR1, CDR2 and CDR3 of an antibody heavy chain variable region having amino acid sequences as set forth in SEQ ID NO: 8, SEQ ID NO: 9 and SEQ ID NO: 10, respectively. The monoclonal antibody or derivative thereof can be used as a component of a pharmaceutical composition or prepared into a suitable pharmaceutical preparation, administered alone or combined with other therapeutic means such as chemotherapy drugs, for treating tumors with positive CD38 expression, such as human myeloma and human lymphoma.

Abstract: The invention generally relates to methods for analyzing a tissue sample. In certain aspects, the invention provides methods that involve obtaining a tissue sample including an unsaturated compound, conducting a radical reaction on the tissue sample that targets a carbon-carbon double bond within the unsaturated compound to thereby produce a plurality of compound isomers, subjecting the plurality of compound isomers to mass spectrometry analysis to identify a location of the carbon-carbon double bond within the unsaturated compound, and quantifying the plurality of compound isomers in order to distinguish normal tissue from diseased tissue.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that dynamically modify content distribution campaigns based on triggering conditions and actions. In particular, systems described herein can provide a user interface for display to a publisher device that includes a plurality of selectable options for setting triggering conditions and/or actions. For example, the disclosed systems can utilize a machine learning model to generate suggested triggering conditions and/or actions for one or more content distribution campaigns of a provider. Moreover, the disclosed systems can generate custom rules based on selected triggering conditions and actions and apply the custom rules during execution of digital content campaigns. For instance, the disclosed systems can monitor performance of content campaigns, detect triggering conditions, and dynamically modify digital content campaigns based on actions corresponding to the triggering conditions.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that dynamically modify content distribution campaigns based on triggering conditions and actions. In particular, systems described herein can provide a user interface for display to a publisher device that includes a plurality of selectable options for setting triggering conditions and/or actions. For example, the disclosed systems can utilize a machine learning model to generate suggested triggering conditions and/or actions for one or more content distribution campaigns of a provider. Moreover, the disclosed systems can generate custom rules based on selected triggering conditions and actions and apply the custom rules during execution of digital content campaigns. For instance, the disclosed systems can monitor performance of content campaigns, detect triggering conditions, and dynamically modify digital content campaigns based on actions corresponding to the triggering conditions.

Abstract: An instrument includes a reagent management system. The reagent management system includes a plurality of reagent wells, each reagent well operable to contain a reagent of a plurality of reagents positioned therein. The reagent management system is operable to select a flow of reagent from one of the plurality of reagents. A flexible connection includes a laminate stack and includes a first flexible channel in fluid communication with the reagent management system. The first flexible channel is operable to route the flow of reagent therethrough. A flow cell includes a flow channel in fluid communication with the first flexible channel. The flow channel is operable to route the flow of reagent over analytes positioned in the flow channel. The flexible connection enables the flow cell to be moved by the instrument relative to a fixed reference point in the instrument.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that dynamically modify content distribution campaigns based on triggering conditions and actions. In particular, systems described herein can provide a user interface for display to a publisher device that includes a plurality of selectable options for setting triggering conditions and/or actions. For example, the disclosed systems can utilize a machine learning model to generate suggested triggering conditions and/or actions for one or more content distribution campaigns of a provider. Moreover, the disclosed systems can generate custom rules based on selected triggering conditions and actions and apply the custom rules during execution of digital content campaigns. For instance, the disclosed systems can monitor performance of content campaigns, detect triggering conditions, and dynamically modify digital content campaigns based on actions corresponding to the triggering conditions.

Abstract: The invention generally relates to methods for analyzing a tissue sample. In certain aspects, the invention provides methods that involve obtaining a tissue sample including an unsaturated compound, conducting a radical reaction on the tissue sample that targets a carbon-carbon double bond within the unsaturated compound to thereby produce a plurality of compound isomers, subjecting the plurality of compound isomers to mass spectrometry analysis to identify a location of the carbon-carbon double bond within the unsaturated compound, and quantifying the plurality of compound isomers in order to distinguish normal tissue from diseased tissue.