Abstract: The invention relates to a product having a foam structure with foam pores which are partially open to the surface and are filled, partially or completely, with a fluid. The invention further relates to a method having embodiments for filling open foam pores in a defined manner. The invention also relates to a device having embodiments for filling open foam pores in a defined manner. The invention furthermore relates to the use of the foam products designed and filled according to the invention as main components for plant protein-based meat analogs. Particular advantages of the invention are the simplified multifunctionality of the products according to the invention in terms of their sensory and nutritional properties for adaptation to preferences and needs of certain target groups including individual customization.

Abstract: Described herein is a mechanism for utilizing a neural network to identify and rank search results. A machine learning model is trained by converting training data comprising query-document entries into query term-document entries. The query term-document entries are utilized to train the machine learning model. A set of query terms are identified. The query terms can be derived from a query history. The trained machine learning model is used to calculate document ranking scores for the query terms and the resultant scores are stored in a pre-calculated term-document index. A query to search the document index is broken down into its constituent terms and an aggregate document ranking score is calculated from a weighted sum of the document ranking scores corresponding to the individual query terms. Because the term-document index can be pre-calculated, it can be downloaded to provide deep learning search capabilities in a computationally limited environment.

Abstract: Described herein is a mechanism for utilizing a neural network to identify and rank search results. A machine learning model is trained by converting training data comprising query-document entries into query term-document entries. The query term-document entries are utilized to train the machine learning model. A set of query terms are identified. The query terms can be derived from a query history. The trained machine learning model is used to calculate document ranking scores for the query terms and the resultant scores are stored in a pre-calculated term-document index. A query to search the document index is broken down into its constituent terms and an aggregate document ranking score is calculated from a weighted sum of the document ranking scores corresponding to the individual query terms. Because the term-document index can be pre-calculated, it can be downloaded to provide deep learning search capabilities in a computationally limited environment.

Abstract: Systems and methods are provided that automatically process a message input, construct an intelligent query based on the processing of the message input, and provide at least one attachable entity according to the processing results and the intelligent query. In some example aspects, a message is received. A natural language processor to determine if the message is requesting content may then process the message. If the message is determined to be requesting content, then candidate sub-queries may be generated to serve as a training set for a query that will be sent to an external search engine to retrieve the attachable entity. The sub-queries may be ranked in order of relevance and performance score. The highest ranked sub-queries may then be used in the actual query that is fired against the external search engine. The external search engine may search local and remote repositories for the top K most relevant attachable entities and present them to a user for attachment in a reply message.

Abstract: The present invention relates to a method for producing protein-containing foamed food products, comprising the steps: metering raw materials into an extruder, wherein at least one raw material is a protein, mixing the raw materials into the extruder to produce a mixture, extruding the mixture to produce an extrudate, and leading the extrudate out of the extruder through a cooling die with cooling of the extrudate to a temperature of less than 100° C., wherein pores are formed in a controlled manner in the extruder, by providing a gas, by introducing the gas into the extruder or by forming the gas based on a reaction of a gas-forming compound added as a raw material with a gas-releasing compound added as a raw material.

Abstract: Described herein is a mechanism for utilizing a neural network to identify and rank search results. A machine learning model is trained by converting training data comprising query-document entries into query term-document entries. The query term-document entries are utilized to train the machine learning model. A set of query terms are identified. The query terms can be derived from a query history. The trained machine learning model is used to calculate document ranking scores for the query terms and the resultant scores are stored in a pre-calculated term-document index. A query to search the document index is broken down into its constituent terms and an aggregate document ranking score is calculated from a weighted sum of the document ranking scores corresponding to the individual query terms. Because the term-document index can be pre-calculated, it can be downloaded to provide deep learning search capabilities in a computationally limited environment.

Abstract: Systems, methods, and computer-readable storage media are provided for inferring missing or ambiguous attribute values for entities based on partial information about such entities and/or information about other similar entities as extracted from multiple information sources for generating Web ranking signals for online search. A plurality of heterogeneous input data sources are ingested and combined to produce output data having information content that is more than the sum of its parts. A generic platform is provided where multiple data sources having information content related to entity attributes can be plugged-in without additional changes being necessary to the platform. This generic plugin model for extracting and inferring entity attribute values makes it easy to leverage new data sources as they become available to improve the final inferred attribute data.

Abstract: This invention discloses devices and methods for high throughput skin sensitization detection. The devices comprise a microfabricated chamber comprising a region having one or more input channels and an outlet, and a face suitable for mounting a skin tissue and in fluidic communication with the region. The devices can be used in the methods for determining a prognosis of sensitization in an animal subject and identifying compounds that do not cause sensitization and thus are suitable for preparing cosmetic compositions.

Abstract: Systems and methods are provided that automatically process a message input, construct an intelligent query based on the processing of the message input, and provide at least one attachable entity according to the processing results and the intelligent query. In some example aspects, a message is received. A natural language processor to determine if the message is requesting content may then process the message. If the message is determined to be requesting content, then candidate sub-queries may be generated to serve as a training set for a query that will be sent to an external search engine to retrieve the attachable entity. The sub-queries may be ranked in order of relevance and performance score. The highest ranked sub-queries may then be used in the actual query that is fired against the external search engine. The external search engine may search local and remote repositories for the top K most relevant attachable entities and present them to a user for attachment in a reply message.

Abstract: Systems, methods, and computer-readable storage media are provided for inferring missing or ambiguous attribute values for entities based on partial information about such entities and/or information about other similar entities as extracted from multiple information sources for generating Web ranking signals for online search. A plurality of heterogeneous input data sources are ingested and combined to produce output data having information content that is more than the sum of its parts. A generic platform is provided where multiple data sources having information content related to entity attributes can be plugged-in without additional changes being necessary to the platform. This generic plugin model for extracting and inferring entity attribute values makes it easy to leverage new data sources as they become available to improve the final inferred attribute data.

Abstract: Systems, methods, and computer-readable storage media are provided for inferring missing or ambiguous attribute values for entities based on partial information about such entities and/or information about other similar entities as extracted from multiple information sources for generating Web ranking signals for online search. A plurality of heterogeneous input data sources are ingested and combined to produce output data having information content that is more than the sum of its parts. A generic platform is provided where multiple data sources having information content related to entity attributes can be plugged-in without additional changes being necessary to the platform. This generic plugin model for extracting and inferring entity attribute values makes it easy to leverage new data sources as they become available to improve the final inferred attribute data.

Abstract: This invention discloses devices and methods for high throughput skin sensitization detection. The devices comprise a microfabricated chamber comprising a region having one or more input channels and an outlet, and a face suitable for mounting a skin tissue and in fluidic communication with the region. The devices can be used in the methods for determining a prognosis of sensitization in an animal subject and identifying compounds that do not cause sensitization and thus are suitable for preparing cosmetic compositions.

Abstract: Systems, methods, and computer-readable storage media are provided for inferring missing or ambiguous attribute values for entities based on partial information about such entities and/or information about other similar entities as extracted from multiple information sources for generating Web ranking signals for online search. A plurality of heterogeneous input data sources are ingested and combined to produce output data having information content that is more than the sum of its parts. A generic platform is provided where multiple data sources having information content related to entity attributes can be plugged-in without additional changes being necessary to the platform. This generic plugin model for extracting and inferring entity attribute values makes it easy to leverage new data sources as they become available to improve the final inferred attribute data.

Abstract: Features automatically extracted from semi-structured web pages are utilized by a search engine to rank documents that include semi-structured web pages. These features include, but are not limited to, a number of reviews, a number of positive reviews, and/or a number of negative reviews from a web page that includes user reviews. These features also include a number of views of a video that is viewable by way of a semi-structured web page. The features also include a number of subscribers to broadcasts of an individual from a social networking web page and a number of contacts of an individual listed on a social networking web page.

Abstract: Features automatically extracted from semi-structured web pages are utilized by a search engine to rank documents that include semi-structured web pages. These features include, but are not limited to, a number of reviews, a number of positive reviews, and/or a number of negative reviews from a web page that includes user reviews. These features also include a number of views of a video that is viewable by way of a semi-structured web page. The features also include a number of subscribers to broadcasts of an individual from a social networking web page and a number of contacts of an individual listed on a social networking web page.

Abstract: The present invention is a method for localized chemical vapor deposition (CVD) for localized growing for example for carbon nanotubes (CNT), nanowires, and oxidation using a heated tip or an array of heated tips to locally heat the area of interest. As the tips moved, material such as CNTs grows in the direction of movement. The Scanning Probe Growth (SPG) or nanoCVD technique has similarities to the CVD growth; however it allows for controlled synthesis and direction and eliminates the need for masks.

Abstract: The present invention is a method for localized chemical vapor deposition (CVD) for localized growing for example for carbon nanotubes (CNT), nanowires, and oxidation using a heated tip or an array of heated tips to locally heat the area of interest. As the tips moved, material such as CNTs grows in the direction of movement. The Scanning Probe Growth (SPG) or nanoCVD technique has similarities to the CVD growth; however it allows for controlled synthesis and direction and eliminates the need for masks.

Abstract: A micro-discharge optical source apparatus and a method and system which utilizes the apparatus to analyze a sample are provided. The apparatus includes a substrate and an anode electrode and a cathode electrode supported on the substrate. One of the electrodes, such as the cathode, is preferably a liquid electrode. The electrodes are spaced apart to define an inter-electrode gap therebetween. The apparatus further includes a voltage source for applying a voltage between the electrodes sufficient to generate a glow micro-discharge in the gap to cause a first emission having a first desired excitation spectrum. An optical element is integrated with the substrate to direct the first emission to travel along an optical path including an axis. In one embodiment, the system detects the direct fluorescence of a sample such as tryptophan and other amino acids. In another embodiment, the system detects fluorescence of dye-labeled biochemicals.

Abstract: A micro-discharge optical source apparatus and a method and system which utilizes the apparatus to analyze a sample are provided. The apparatus includes a substrate and an anode electrode and a cathode electrode supported on the substrate. One of the electrodes, such as the cathode, is preferably a liquid electrode. The electrodes are spaced apart to define an inter-electrode gap therebetween. The apparatus further includes a voltage source for applying a voltage between the electrodes sufficient to generate a glow micro-discharge in the gap to cause a first emission having a first desired excitation spectrum. An optical element is integrated with the substrate to direct the first emission to travel along an optical path including an axis. In one embodiment, the system detects the direct fluorescence of a sample such as tryptophan and other amino acids. In another embodiment, the system detects fluorescence of dye-labeled biochemicals.