Abstract: A thought object selection server receives a plurality of thought objects and the thought objects include text present in qualitative responses from plurality of user devices in a communication environments. The plurality of thought objects consists of M thought objects that are most recently seen thought objects and N thought objects that are least seen by the plurality of user devices. A prompt is provided to the LLM with the M thought objects, the N thought objects, and a request to identify diverse thought objects. LLM compares the M thought objects and the N thought objects to identify dissimilar one or more dissimilar thought objects from the N thought objects based on semantic distances. One thought object is selected from the dissimilar thought objects as a diverse thought object. In some cases, non-transformer based embedding tools may be used to identify diverse thought in the received thought objects.

Abstract: A system and method for text-to-text transformation of thought objects. A transformation computer receives a plurality of thought objects from user devices. The thought object contains qualitative responses. Transformation computer processes the received thought objects into a semantic vector representation. Redundant thought objects are removed to generate a reduced plurality of thought objects. The reduced thought objects are then clustered using semantic vector representation. One or more of the thought objects are selected for transformation from the clusters. A transformer generates a summary using one or more of the selected thought objects.

Abstract: A system and method for automated theming of thought objects is disclosed. In a preferred embodiment, an object theming computer creates aggregated text by aggregating text associated with a first thought object, the aggregated text comprising descriptive and important text associated with the first thought object. The object theming computer then tokenizes the aggregated text into tokens. Further, a theme is associated to thought objects using one or more previously themed thought objects. If one or more thought objects have no associated theme, then a theme is generated and associated to the un-themed thought objects using a current plurality of the one or more thought objects.

Abstract: A system and method for automated theming of thought objects is disclosed. In a preferred embodiment, an object theming computer creates aggregated text by aggregating text associated with a first thought object, the aggregated text comprising descriptive and important text associated with the first thought object. The object theming computer then tokenizes the aggregated text into tokens. Further, a theme is associated to thought objects using one or more previously themed thought objects. If one or more thought objects have no associated theme, then a theme is generated and associated to the un-themed thought objects using a current plurality of the one or more thought objects.

Abstract: Soluble and membrane associated forms of Mac-2 (also termed Carbohydrate Binding Protein ?CBP!-35 and L-34) recognizes and binds to Advanced Glycosylation Endproducts (AGEs) with higher affinity than it binds carbohydrates, such as its "natural" ligand, galactose. The level of soluble Mac-2 in plasma or serum provides a prognostic indicator of the susceptibility of an individual to AGE complications. Thus, the present invention includes various therapeutic and diagnostic utilities predicated on the identification and activities of Mac-2 for binding AGEs. Pharmaceutical compositions of the invention comprise an effective amount of Mac-2 admixed with a pharmaceutically acceptable carrier. Diagnostic utilities include assays such as immunoassays for the presence and amount of Mac-2 in a biological sample, e.g., serum or plasma. Such assays can be performed with labeled receptors, antibodies, ligands and other binding partners of Mac-2.