Abstract: The present disclosure relates to a device (100) for removal of contaminants from water, the device (100) includes a substrate (102), a metal layer (104) is deposited on the substrate (102) to form a conducting electrode. A thick layer of aluminium (Al) (106) is thermally deposited on the metal layer (104). The aluminum layer (106) is anodized so as to form an anodized porous alumina layer (108) having nanopores. The device, upon application of potential, allows the flow of water through the micropores to perform absorption of contaminants using the electrically conducting electrode covered with the anodized porous alumina layer facilitating removal of the contaminants from the water through ion concentration polarization and minimizing wastage of water.

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: The invention relates to a system for making a meat analogue comprising protein, said system comprising i) a die comprising an insert; a core; and a flow path: wherein the flow path is defined by the insert and the core; and ii) a cooling component comprising a cooling chamber, wherein said cooling component is downstream of the die and the flow path passes through the cooling chamber.

Abstract: An approach to structured knowledge modeling and the incorporation of learned knowledge in neural networks is disclosed. Knowledge is encoded in a knowledge base (KB) in a manner that is explicit and structured, such that it is human-interpretable, verifiable, and editable. Another neural network is able to read from and/or write to the knowledge model based on structured queries. The knowledge model has an interpretable property name-value structure, represented using property name embedding vectors and property value embedding vectors, such that an interpretable, structured query on the knowledge base may be formulated by a neural model in terms of tensor operations. The knowledge base admits gradient-based training or updates (of the knowledge base itself and/or a neural network(s) supported by the knowledge base), allowing knowledge or knowledge representations to be inferred from a training set using machine learning training methods.

Abstract: Circuit breakers and associated methods are described. According to one aspect, a circuit breaker includes an input node configured to receive an AC waveform of electrical energy, an output node configured to output the AC waveform, mechanical breaker circuitry configured to selectively operate in a conductive state to conduct the AC waveform from the input node to the output node, switching circuitry configured to selectively operate in a conductive state to conduct the AC waveform from the input node to the output node, energy absorption circuitry coupled with the input node and the output node, wherein the mechanical breaker circuitry and the switching circuitry are changed from the conductive state to a non-conductive state after detection of a fault, and wherein the energy absorption circuitry is configured to dissipate electrical energy of the fault after the mechanical breaker circuitry and the switching circuitry are changed to the non-conductive state.

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: 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: 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.