Abstract: The present teachings relate generally to conjugates and methods for imaging a tumor microenvironment in a patient, and to conjugates and methods for treating LHRH-R expressing cancer in a patient. The present teachings relate generally to method of making conjugates comprising an LHRH-R antagonist.

Abstract: Various methods, apparatuses/systems, and media for implementing a natural language order fill module are disclosed. A database stores data corresponding to trade details of a particular trade. A processor is operatively coupled to the database via a communication network. The processor configures a free-form text box to receive user input data corresponding to the trade details (e.g., abbreviations data, varying sentence syntax data, special characters data and details data, etc.) of the particular trade; implements neural networks algorithm to interpret and extract key trade details data from the receive user input data corresponding to the trade details of the particular trade regardless of text structure of the input data; and automatically fills in corresponding trading ticket fields in real-time based on the extracted key trade details data.

Abstract: The present teachings relate generally to conjugates and methods for imaging a tumor microenvironment in a patient, and to conjugates and methods for imaging cancer-associated fibroblasts (CAFs) in the tumor microenvironment of a patient. The present teachings relate generally to method of making conjugates comprising a fibroblast activation protein (FAP) inhibitor.

Abstract: The present teachings relate generally to conjugates and methods for imaging a tumor microenvironment in a patient, and to conjugates and methods for imaging cancer-associated fibroblasts (CAFs) in the tumor microenvironment of a patient. The present teachings relate generally to method of making conjugates comprising a fibroblast activation protein (FAP) inhibitor.

Abstract: The present teachings relate generally to conjugates and methods for imaging a tumor microenvironment in a patient, and to conjugates and methods for treating LHRH-R expressing cancer in a patient. The present teachings relate generally to method of making conjugates comprising an LHRH-R antagonist.

Abstract: The present teachings relate generally to conjugates and methods for imaging a tumor microenvironment in a patient, and to conjugates and methods for imaging cancer-associated fibroblasts (CAFs) in the tumor microenvironment of a patient. The present teachings relate generally to method of making conjugates comprising a fibroblast activation protein (FAP) inhibitor.

Abstract: A “hybrid derived cache” stores semi-structured data or unstructured text data in an in-memory mirrored form and columns in another form, such as column-major format. The hybrid derived cache may cache scalar type columns in column-major format. The structure of the in-memory mirrored form of semi-structured data or unstructured text data enables and/or enhances access to perform path-based and/or text based query operations. A hybrid derived cache improves cache containment for executing query operations. The in-memory mirrored form is used to compute queries in a transactionally consistent manner through the use of an invalid vector that used to determine when to retrieve the transactionally consistent persistent form of semi-structured data or unstructured text data in lieu of the in-memory form.

Abstract: The present teachings relate generally to conjugates and methods for imaging a tumor microenvironment in a patient, and to conjugates and methods for treating LHRH-R expressing cancer in a patient. The present teachings relate generally to method of making conjugates comprising an LHRH-R antagonist.

Abstract: A method, system, and computer program product for information retrieval and sentiment assessment. The method parses a sentiment-aware query to isolate one or more lexical terms to be included in a lexical retrieval of documents containing the lexical terms. The parsing of the query includes parsing the query to isolate portions of the query to be included in the configuration of a sentiment analysis of the retrieved documents. The documents retrieved based on the lexical terms are processed so as to generate a sentiment assessment, and the sentiment found in the retrieved documents might be correlated to terms that are not present in the lexical terms. The sentiment assessment is presented as a “positive” or “negative” indication, or as a sentiment assessment score. The sentiment portion of the query can specify an area of interest, and/or can specify a user-selected classifier model that is used to process the retrieved documents.