Abstract: A flavour composition comprising a compound according to the formula (I) edible salts thereof, wherein R1 is an alkyl residue containing 6 to 20 carbon atoms, or an alkene residue containing from 9 to 25 carbon atoms with 1 to 6 double bonds, R1 together with the carbonyl group to which it is attached is a residue of a carboxylic acid, and m is 0 or 1.

Abstract: The present invention discloses a loading unit which loads the target web site after receiving a URL of a target web site; an action design unit which makes the user arbitrarily plan and arbitrarily set pre-determined work to extract target data from the target web site; an executing unit which consistently arranges the pre-determined work arbitrarily planned through the action design unit, and performs a designated event; an importing unit which extracts target data through the event work and presents them to a user.

Abstract: The present invention relates a heteropolysaccharide characterized in that it is substantially composed of the monosaccharides glucose and galactose and rhamnose and N-acetylgalactosamine and a process for the production thereof. The invention further relates to a bacterium capable of producing said heteropolysaccharide and to the use of the heteropolysaccharide and the bacterium for improving the texture of fermented milk products.

Abstract: This disclosure relates to flavour modification and to compounds of formula (I) or edible salts thereof, wherein R1 is selected from C6-C20 alkyl, and C9-C25 alkenyl, and i) R3 and R4 are hydrogen and R2 the residue of a proteinogenic amino acid; ii) R2 and R3 are methyl and R4 is hydrogen; or R4 is hydrogen and R2 and R3 form together with the carbon atom to which they are attached cyclopropyl; iii) R2 is hydrogen, and R3 and R4 together are —CH2—CH2—CH2— useful in modifying flavours.

Abstract: Described herein are technologies relating to predicting whether a resource is spam based solely upon a Uniform Resource Locator (URL) for the resource. The URL is tokenized in connection with generating a sequence of numerical identifiers for the resource. A score for the URL is computed based upon the sequence of numerical identifiers, where the score is indicative of a probability that the resource pointed to by the URL is spam. generating a score for the URL based upon the sequence of numbers, wherein the score is indicative of a probability that the resource pointed to by the URL is spam. When the score is above a predefined threshold, a label is assigned to the URL that indicates that the resource pointed to by the URL is spam, and an entry for the resource is not included in a search engine index based upon the label assigned to the URL.

Abstract: An artificial intelligence (AI) search system can build or include one or more knowledge graphs and databases of indexes. The knowledge graphs can encode information and relationships from a variety of domains. The databases of indexes can store pointers to public and/or private data and raw content in those domains. An example of a domain includes fields requiring or handling geospatial data. The AI search system can receive a user query and process the query with AI models, including language models and knowledge graphs to identify data matching the intention and context of the user query. The AI search system can present relevant results in an assortment of user interfaces.

Abstract: Various embodiments of the present technology provide compositions and methods for a sweetener composition comprising stevia leaf extract, stevia glycosides, and/or Luo Han Guo fruit extract. The sweetener composition provides enhanced taste and/or flavor properties as compared to other non-caloric or low-caloric sweeteners. The sweetener composition has a reduced aftertaste relative to stevia leaf extract and/or purified steviol glycoside. The sweetener composition may be formulated into any edible sweetened substances.

Abstract: Label-based document classification using artificial intelligence includes collecting, by one or more processors, a plurality of pre-trained classification models into a model pool and a plurality of documents into a document pool. The collected plurality of pre-trained classification models are applied in parallel to the plurality of documents in the document pool to generate a list of labels. Based on the list of labels, a final label result is generated according to which a baseline algorithm for document classification is generated by the one or more processors.

Abstract: Systems and methods for tracking and searching the usage, flow or communication of assets are disclosed. Embodiments as disclosed herein may create and update a graph representing the assets in an enterprise, where the objects and relationships in the graph represent the assets, communications, users or relationship. The graph may be queried to discover a wide variety of information regarding these assets, communications, users or relationships.

Abstract: A system and method for pruning data based on metadata. The method may include receiving a query that includes a plurality of predicates and identifying one or more applicable files including database data satisfying at least one of the plurality of predicates. The identifying the one or more applicable files including reading metadata stored in a metadata store that is separate from the database data. The method further includes pruning inapplicable files including database data that does not satisfy at least one of the plurality of predicates to create a reduced set of files and reading the reduced set of files to execute the query.

Abstract: Provided herein is a process for increasing the dissolution rate of a sparingly water soluble flavor or taste modifying compound in water comprising: a. mixing the compound and a highly water soluble second compound in a water based solution to form a solution or dispersion of the compound; and b. drying the solution or dispersion to form a solution or solid dispersion of the compound wherein the compound has an increased dissolution rate in water as compared to the compound when dissolved in water alone.

Abstract: The present invention relates to a process for preparing a mixture comprising vanillin and ethyl vanillin which process comprises the steps of (i) mixing at least vanillin powder and ethyl vanillin powder, (ii) keeping the mixture obtained in step (i) in a vessel in order to let the vanillin and ethyl vanillin agglomerate, and (iii) breaking down at least one agglomerate obtained in step (ii) into smaller particles. The present invention also relates to a powdery mixture comprising vanillin and ethyl vanillin obtained by the process according to the present invention.

Abstract: The invention relates to the manufacture of foods, in particular to aerated confectionery products, like marshmallow-type products, to foam structuring compositions, and methods for preparing them. Provided is an aerated confectionery product having a density up to 0.5 g/cm3, the product comprising as foam structuring composition a combination of (i) a native potato protein; (ii) a gelling starch; and (iii) a highly branched starch (HBS) obtained by treatment of starch or a starch derivative with glycogen branching enzyme (EC 2.4.1.18), and wherein said HBS has a molecular branching degree of at least 6%, wherein the molecular branching degree is defined as the percentage of ?-1,6 glycosidic linkages of the total of ?-1,6 and ?-1,4 glycosidic linkages ((?-1,6/(?-1,6+?-1,4)*100%).

Abstract: The present invention relates to a method for collecting data from a multi-domain in a data collection device. The method includes a step A of collecting data from a general web that is accessible through a search engine; a step B of collecting data from a dark web site that is not accessible with a general web browser and is accessible with preset specific software; and a step C of standardizing the collected data in a preset format and generating metadata for the collected data.

Abstract: A raw cannabis powder is formed and packaged for convenient and low-cost access to raw cannabis. First, raw cannabis material having a pre-determined ratio of cannabinoids is collected. Next, the raw cannabis material is dried. Next, the dried raw cannabis material is grinded to obtain a finely ground powder. Next, the raw cannabis powder is packaged into a container. High concentrate cannabis extract is optionally added to increase potency of cannabinoids. Instructions are provided that instruct a consumer on amounts and types of cannabinoids, dosing and serving sizes for consuming the powder in its raw non-decarboxylated form, dosing and serving sizes for a decarboxylated (heated) version of the powder, and how to decarboxylate the cannabinoids within the powder. A consumer purchases the container of raw cannabis powder and adds the raw cannabis powder to food or beverages, consumes the powder directly, or decarboxylates the powder and consumes the decarboxylated powder.

Abstract: Provided are food products comprising milk proteins and non-animal proteins, and methods of manufacturing the same.

Abstract: The present invention is a yogurt product that may be consumed by dogs and other mammalian pets. The yogurt product is in an unflavored form comprising as essential constituents: (A) 0% to 88% by weight water; (B) 0.2% to 25% by weight of a no-fat protein component selected from the group consisting of skim milk and cultured skim milk; (C1) 0.001% to 6% by weight sugar component comprising: (C1) 0.001% to 6% polydextrose and (C2) 0.001% to 6% Glycoses and Galactoses; (D) 2% to 8% by weight milk derived solids; (E) 0.2% to 2.5% by weight stabilizers and emulsifiers; and (F) at least one probiotic microorganism. The yogurt product may be refrigerated and served as a mousse, frozen dessert, or as a fermented yogurt drink similar to Ayran or Kefir. A method for producing the yogurt product is also disclosed herein.

Abstract: Methods for extracting protein from expired or spoiled milk is disclosed. In at least one embodiment, the method includes the steps of acid hydrolysis, first filtration, fine filtration, activation, salting out, degreasing, drying and packaging. Through the combined process of “protein activation” and “self-assembly salting out,” these methods enable the reuse and upcycling of expired and spoiled milk.

Abstract: Observable data points are collected and organized into a link-oriented data set comprising nodes and links. Information is abstracted for use in link analysis by generating links between the collected data points, including deriving links and inducing links. A link can be induced by linking together a pair of nodes that satisfy a distance function. Exemplary distance functions that can be used to induce links include geospatial proximity, attribute nearness, and name similarity. Paths can be identified between selected nodes of interest through a dataset operation, and nodes and/or links can be selectively included or excluded from the data set operation. The dataset can be augmented with pedigree information or one or more association nodes. Link information, including a trajectory and a connected path that selectively produces or excludes one or more intermediate nodes, can be displayed and/or produced in a specified format.

Abstract: A computer system for extracting structured data from unstructured or semi-structured text in an electronic document, the system comprising: a graphical user interface configured to present to a user a graphical view of a document for use in training multiple data extraction models for the document, each data extraction model associated with a user defined question; a user input component configured to enable the user to highlight portions of the document; the system configured to present in association with each highlighted portion an interactive user entry object which presents a menu of question types to a user in a manner to enable the user to select one of the question types, and a field for receiving from the user a question identifier in the form of human readable text, wherein the question identifier and question type selected by the user are used for selecting a data extraction model, and wherein the highlighted portion of the document associated with the question identifier is used to train the sele