Abstract: The present invention relates to novel liquid formulations comprising pharmacologically active fusion protein. The present invention discloses the use of histidine buffer in combination with other excipients to stabilize the fusion protein by lowering the product related impurities. In another aspects invention provides a formulation of fusion protein with low viscosity.

Abstract: Disclosed in some examples are methods, systems, and machine readable mediums which provide summaries of topics determined within a corpus of documents. These summaries may be used by customer service associates, analysts, or other users to quickly determine both topics discussed and contexts of those topics over a large corpus of text. For example, a corpus of documents may be related to customer complaints and the topics may be summarized to produce summaries such as “credit report update due to stolen identity.” These summarizations may be used to efficiently spot trends and issues.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for at least semi-automated generation of model documentation. In an example embodiment, a template corresponding to a model is selected. User input populating portions of a build notebook is received. The build notebook comprises a model identifier identifying the model and executable code. The build notebook is executed using an execution engine to cause an intermediary file encoded in a type-setting system to be generated. Executing the build notebook causes cross-references of elements of the model documentation to be mapped to appropriate locations within the intermediary file. The elements comprise graphical representations of results of model tests executed on the model and/or extracted or user-defined artifacts required for the model documentation.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for at least semi-automated generation of model documentation. In an example embodiment, a template corresponding to a model is selected. User input populating portions of a build notebook is received. The build notebook comprises a model identifier identifying the model and executable code. The build notebook is executed using an execution engine to cause an intermediary file encoded in a type-setting system to be generated. Executing the build notebook causes cross-references of elements of the model documentation to be mapped to appropriate locations within the intermediary file. The elements comprise graphical representations of results of model tests executed on the model and/or extracted or user-defined artifacts required for the model documentation.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for determining robustness information for an NLP model. Modification rules, such as replacement rules and/or insertion rules, are used to generate instances of modified test data based on instances of test data that comprise words and have a syntax and a semantic meaning. The instances of test data and modified test data are provided to the NLP model and the output of the NLP model is analyzed to determine output changing instances of modified test data, which are instances of modified test data yielded output from the NLP model that is different and/or not similar to the output yielded from the NLP model for the corresponding instance of test data. Robustness information for the NLP model is determined based at least in part on the output changing instances of modified test data.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for determining robustness information for an NLP model. Modification rules, such as replacement rules and/or insertion rules, are used to generate instances of modified test data based on instances of test data that comprise words and have a syntax and a semantic meaning. The instances of test data and modified test data are provided to the NLP model and the output of the NLP model is analyzed to determine output changing instances of modified test data, which are instances of modified test data yielded output from the NLP model that is different and/or not similar to the output yielded from the NLP model for the corresponding instance of test data. Robustness information for the NLP model is determined based at least in part on the output changing instances of modified test data. White and/or black box attacks may be performed.

Abstract: A method for forming additive-containing reclaimed polyester can include: providing a feed of recycled polyester; providing a feed of polyester precursors; depolymerizing the recycled polyester to obtain depolymerized polyester monomers; polymerizing the depolymerized polyester monomers with the polyester precursors to form a reclaimed polyester; adding additives to the reclaimed properties to adjust for example, the color and/or viscosity, and providing the additive-containing reclaimed polyester as output.

Abstract: A method for reclaiming polyester can include: providing a feed of recycled polyester; providing a feed of polyester precursors; depolymerizing the recycled polyester to obtain depolymerized polyester monomers; polymerizing the depolymerized polyester monomers with the polyester precursors to form a reclaimed polyester; and providing the reclaimed polyester as output.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for screening data instances based on a target text of a target corpus. A screening device analyzes a target corpus to generate at least two term dictionaries for the target corpus. The screening apparatus, based on a frequency of a term in the target corpus, determines a term weight for the term; for each data instance, determines term scores for the data instance and the target text based on the term weights; filters the data instances based on the term scores, to generate a short list of data instances; determines term similarity scores between each data instance of the short list and target text based on the term weights; and provides a data instance determined to likely correspond to the target text and an indication of the corresponding term similarity score(s). A term is a word or an n-gram.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for at least semi-automated generation of model documentation. In an example embodiment, a template corresponding to a model is selected. User input populating portions of a build notebook is received. The build notebook comprises a model identifier identifying the model and executable code. The build notebook is executed using an execution engine to cause an intermediary file encoded in a type-setting system to be generated. Executing the build notebook causes cross-references of elements of the model documentation to be mapped to appropriate locations within the intermediary file. The elements comprise graphical representations of results of model tests executed on the model and/or extracted or user-defined artifacts required for the model documentation.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for at least semi-automated generation of model documentation. In an example embodiment, a template corresponding to a model is selected. User input populating portions of a build notebook is received. The build notebook comprises a model identifier identifying the model and executable code. The build notebook is executed using an execution engine to cause an intermediary file encoded in a type-setting system to be generated. Executing the build notebook causes cross-references of elements of the model documentation to be mapped to appropriate locations within the intermediary file. The elements comprise graphical representations of results of model tests executed on the model and/or extracted or user-defined artifacts required for the model documentation.

Abstract: A method for rotary die cutting. The method may include providing, to an accumulator, an input comprising a melt. The method may include processing, by the accumulator utilizing a set of rolls, the melt to form a sheet of material. The method may include providing, from the accumulator, the sheet of material to a dandy roll. The method may include providing, from the dandy roll, the sheet of material to a rotary die. The method may include cutting, by the rotary die, a product from the sheet of material. The method may include providing, from the rotary die, the product to a stacker.

Abstract: A method for rotary die cutting. The method may include providing, to an accumulator, an input comprising a melt. The method may include processing, by the accumulator utilizing a set of rolls, the melt to form a sheet of material. The method may include providing, from the accumulator, the sheet of material to a dandy roll. The method may include providing, from the dandy roll, the sheet of material to a rotary die. The method may include cutting, by the rotary die, a product from the sheet of material. The method may include providing, from the rotary die, the product to a stacker.

Abstract: A method for reclaiming polyester can include: providing a feed of recycled polyester 420; providing a feed of polyester precursors 422; depolymerizing the recycled polyester 420 to obtain depolymerized polyester monomers 421; polymerizing the depolymerized polyester monomers 421 with the polyester precursors 422 to form a reclaimed polyester 423; and providing the reclaimed polyester 423 as output 102.

Abstract: Computer-readable media, computer systems, and computing devices facilitate providing entity-specific content to a user in response to a search request. A search request is received from a user and determined to be related to an entity. Domains associated with the entity are also identified. The search service identifies a set of potential answers and uses the potential answers to generate a set of reformulation queries, which are used to query answer services. Answers returned by the answer services are ranked and bound to an entity card, which is subjected to a quorum checking process that facilitates optimization of the use of allocated screen real estate associated with the entity card. A representation of the entity card is presented on a search-results page.