Abstract: The present application provides antibody-TCR chimeric constructs comprising an antibody moiety that specifically binds to a target antigen fused to a TCRM capable of recruiting at least one TCR-associated signaling module. Also provided are methods of making and using these constructs.

Abstract: The present application provides antibody-TCR chimeric constructs comprising an antibody moiety that specifically binds to a target antigen fused to a TCRM capable of recruiting at least one TCR-associated signaling module. Also provided are methods of making and using these constructs.

Abstract: The present application provides antibody-TCR chimeric constructs comprising an antibody moiety that specifically binds to a target antigen fused to a TCRM capable of recruiting at least one TCR-associated signaling module. Also provided are methods of making and using these constructs.

Abstract: The present application provides antibody-TCR chimeric constructs comprising an antibody moiety that specifically binds to a target antigen fused to a TCRM capable of recruiting at least one TCR-associated signaling module. Also provided are methods of making and using these constructs.

Abstract: The present application provides antibody-TCR chimeric constructs comprising an antibody moiety that specifically binds to a target antigen fused to a TCRM capable of recruiting at least one TCR-associated signaling module. Also provided are methods of making and using these constructs.

Abstract: The present application provides antibody-TCR chimeric constructs comprising an antibody moiety that specifically binds to a target antigen fused to a TCRM capable of recruiting at least one TCR-associated signaling module. Also provided are methods of making and using these constructs.

Abstract: Described herein are human antibody agents and multi-specific binding agents that specifically bind human CD 19, in particular, native human CD 19. Also provided herein are methods of using the same or compositions thereof for the detection, prevention and/or therapeutic treatment of diseases characterized by CD 19 expression, in particular, B cell lymphomas and leukemias.

Abstract: The present application provides antibody-TCR chimeric constructs comprising an antibody moiety that specifically binds to a target antigen fused to a TCRM capable of recruiting at least one TCR-associated signaling module. Also provided are methods of making and using these constructs.

Abstract: Described herein are human antibody agents and multi-specific binding agents that specifically bind human CD 19, in particular, native human CD 19. Also provided herein are methods of using the same or compositions thereof for the detection, prevention and/or therapeutic treatment of diseases characterized by CD 19 expression, in particular, B cell lymphomas and leukemias.

Abstract: The present application provides antibody-TCR chimeric constructs comprising an antibody moiety that specifically binds to a target antigen fused to a TCRM capable of recruiting at least one TCR-associated signaling module. Also provided are methods of making and using these constructs.

Abstract: The present application provides antibody-TCR chimeric constructs comprising an antibody moiety that specifically binds to a target antigen fused to a TCRM capable of recruiting at least one TCR-associated signaling module. Also provided are methods of making and using these constructs.

Abstract: Described herein are human antibody agents and multi-specific binding agents that specifically bind human CD 19, in particular, native human CD 19. Also provided herein are methods of using the same or compositions thereof for the detection, prevention and/or therapeutic treatment of diseases characterized by CD 19 expression, in particular, B cell lymphomas and leukemias.

Abstract: The present application provides antibody-TCR chimeric constructs comprising an antibody moiety that specifically binds to a target antigen fused to a TCRM capable of recruiting at least one TCR-associated signaling module. Also provided are methods of making and using these constructs.

Abstract: Detailed herein is a technology which, among other things, allows a search engine to utilize a user-defined relevance function. In one approach to the technology, a method of applying a user-defined relevance function is described. In this approach, a complex search query is decomposed into a simple operator. The simple operator is associated with the user-defined relevance function. A document which matches the search query is retrieved, and a rank is calculated for the document, using the user-defined relevance function.

Abstract: Consistency between the components used to generate and query a full-text index is determined and if a mismatch is detected, an error may be surfaced. A structure including information associated with each component used to build an index is programmatically compared with currently available components. The structure may be interrogated to enumerate the resources bound to a particular index. The enumeration of bound resources facilitates determination of what indexes (if any) must be regenerated for consistency as a result of a component upgrade or a move to another system.

Abstract: Detailed herein is a technology which, among other things, allows a search engine to utilize a user-defined relevance function. In one approach to the technology, a method of applying a user-defined relevance function is described. In this approach, a complex search query is decomposed into a simple operator. The simple operator is associated with the user-defined relevance function. A document which matches the search query is retrieved, and a rank is calculated for the document, using the user-defined relevance function.

Abstract: The subject disclosure pertains to systems and methods for facilitating item retrieval and/or ranking. An original ranking of items can be modified and enhanced utilizing a Markov Random Field (MRF) approach based upon item similarity. Item similarity can be measured utilizing a variety of methods. An MRF similarity model can be generated by measuring of similarity between items. An original ranking of items can be obtained, where each document is evaluated independently based upon a query. For example, the original ranking can be obtained using a keyword search. The original ranking can be enhanced based upon similarity of items. For example, items that are deemed to be similar should have similar rankings. The MRF model can be used in conjunction with original rankings to adjust rankings to reflect item relationships.

Abstract: Consistency between the components used to generate and query a full-text index is determined and if a mismatch is detected, an error may be surfaced. A structure including information associated with each component used to build an index is programmatically compared with currently available components. The structure may be interrogated to enumerate the resources bound to a particular index. The enumeration of bound resources facilitates determination of what indexes (if any) must be regenerated for consistency as a result of a component upgrade or a move to another system.