Abstract: Various examples are directed to systems and methods for characterizing natural language text units. A plurality of text units may be used to train a bidirectional model. A bidirectional model may be applied to a set of annotated text units to generate a plurality of span context vectors. The plurality of span context vectors may be used to train a span prediction model. The span prediction model may be applied to at least a portion of the plurality of text units to generate a plurality of span characterizations, a first span characterization corresponding to a first span indicating that the first span describes a first job skill.

Abstract: Methods, systems, and computer-readable storage media for a multimodal machine learning image and text combined search method. One example method includes processing items that each have an associated image and a textual description. A first image feature vector is generated by processing a first image using a first machine learning model. A first textual feature vector is generated by processing a first textual description using a second machine learning model. The first image feature vector and the first textual feature vector are combined to generate a first combined feature vector for a first item. Similarity lists of similar items are generated for the first item based on similarities between the first image feature vector, the first text feature vector, the first combined feature vector and respective corresponding vectors of other items. The similarity lists for the first item are combined to generate a combined similarity list for the first item.

Abstract: A computer-implemented method can receive a software update for a software application deployable on a target system and perform an automatic performance test of the software application incorporating the software update on the target system. The automatic performance test can be integrated in a continuous integration and continuous delivery (CI/CD) pipeline. The method can collect a plurality of performance metrics measured when performing the automatic performance test and determine a performance score based on the plurality of performance metrics. Responsive to detecting the performance score is below a predefined performance threshold, the method can cause the CI/CD pipeline to reject the software update to the software application.

Abstract: A semi-solid chewable composition, comprising an herbal composition and a semi-chewable base. The herbal composition comprises anti-inflammatory, anti-microbial, analgesic, antiseptic, or antipyrelic herbal composition.

Abstract: A semi-solid chewable gel composition, comprising a gelling composition in a sufficient amount to provide a cohesive gelled product, a binding composition comprising a sugar, a sugar alcohol, or a combination thereof, wherein the sugar comprises psicose (allulose), sorbose, tagatose, D-maltose (1,4-diglucose), trehalose, isomaltulose, or a combination thereof, and a water-soluble polymer stabilizer, wherein the polymer stabilizer comprises a polymer of monosaccharide monomers selected from glucose, mannose, galactose, arabinose, rhamnose, xylose, galacturonate, glucuronate, N-acetylglucosamine, or a combination thereof, and wherein the polymer comprises from about 5 to about 500 monosaccharide monomers, wherein the semi-solid chewable gel composition is substantially free of glucose, sucrose, and fructose.

Abstract: A gummy composition, comprising a semi-solid chewable base comprising a gum composition, a gelling composition, and a bonding composition, wherein the gelling composition comprises a protein-based gelling agent, a carbohydrate-based gelling agent, or a combination thereof, wherein the gum composition and the gelling composition have a ratio of not more than 4:1 w/w, and wherein the bonding composition comprises a mono-, di- tri-, or oligosaccharide, a sugar alcohol, or a combination thereof.

Abstract: The present disclosure relates to a micro magnetic-hydraulic suspension centrifugal blood pump, which is a pump and motor integrated device. The blood pump includes a pump housing, a rotor, an impeller, a servo motor, an inner magnetic core group, an outer magnetic ring group, a limiting device, and a suture snap ring device; the rotor and the impeller are seamlessly connected into a whole; the rotor is arranged in an inner pipe of the blood pump; the servo motor drives the rotor to drive the impeller to do work; the inner magnetic core group is arranged at a lower end inside the rotor; the outer magnetic ring group and a wrapping sleeve are upright in a pump cavity lower shell; an inner and outer magnetic combination can achieve a radial magnetic suspension effect of the impeller; a ceramic sheet and a ceramic cone form a temporary limiting bearing; a top end of a vane of the impeller is provided with an inclined surface; and the pump can generate hydraulic suspension during working.

Abstract: A semi-solid chewable composition, comprising an herbal composition and a semi-chewable base. The herbal composition comprises anti-inflammatory, anti-microbial, analgesic, antiseptic, or antipyrelic herbal composition.

Abstract: A composition for increasing vaccine yields due to increased virus growth in mutation comprising a vaccine strain bearing the Y161F mutation in hemagglutinin (HA). Y161F in HA increases HA thermostability without changing its original antigenic properties and enhances its binding affinity in the vaccine production platforms used in influenza vaccine manufacturing. A method for optimizing preparation of influenza vaccine seed strains which can further lower the cost of vaccines and increase profits for the vaccine companies, and also maintain antigenic stability during vaccine deliveries.

Abstract: The present disclosure relates to a micro magnetic-hydraulic suspension centrifugal blood pump, which is a pump and motor integrated device. The blood pump includes a pump housing, a rotor, an impeller, a servo motor, an inner magnetic core group, an outer magnetic ring group, a limiting device, and a suture snap ring device; the rotor and the impeller are seamlessly connected into a whole; the rotor is arranged in an inner pipe of the blood pump; the servo motor drives the rotor to drive the impeller to do work; the inner magnetic core group is arranged at a lower end inside the rotor; the outer magnetic ring group and a wrapping sleeve are upright in a pump cavity lower shell; an inner and outer magnetic combination can achieve a radial magnetic suspension effect of the impeller; a ceramic sheet and a ceramic cone form a temporary limiting bearing; a top end of a vane of the impeller is provided with an inclined surface; and the pump can generate hydraulic suspension during working.

Abstract: A chewable composition comprising an active pharmaceutical ingredient (API) composition, a surfactant composition, a binding composition, and a gelling composition in a sufficient amount to provide a cohesive gelled product. The API composition comprises a PED5 inhibitor; the surfactant composition and the API composition have a weight ration from about 0.1 to about 15; and the binding composition comprises a mono- or di-saccharide, a sugar alcohol, an oligosaccharide, or a combination thereof. In one embodiment, the API composition comprises tadalafil, sildenafil, vardenafil, avanafil, or a combination thereof.

Abstract: An anti-histamine semi-solid chewable gel composition, comprising an active pharmaceutical ingredient (API) composition comprising an antihistamine, a gelling composition in a sufficient amount to provide a cohesive gelled product, a binding composition comprising a sugar, a sugar alcohol, and a water-soluble polymer stabilizer, wherein the polymer stabilizer comprises a polymer of monosaccharide monomers, and wherein the polymer comprises from about 5 to about 500 monosaccharide monomers, wherein the semi-solid chewable gel composition is substantially free of glucose, sucrose, and fructose.

Abstract: Some embodiments may be associated with a cloud computing environment. A computer processor of a traffic prediction server may retrieve performance stack trace logs from a traffic performance stack trace log repository that stores traffic information of the cloud computing environment. The traffic prediction server parses the performance stack trace logs as an objects list including parent/child object relationships and stores the parsed objects list in a graph database. The traffic prediction server may then transform the graph database into training data including spatial and temporal information and use the transformed training data to train a transformer model. According to some embodiments, the traffic prediction server also provides previous traffic input data to the transformer model when generates predicted traffic output data based on the previous traffic input data (e.g., to facilitate cloud load management).

Abstract: Methods, systems, and computer-readable storage media for a multimodal machine learning image and text combined search method. One example method includes processing items that each have an associated image and a textual description. A first image feature vector is generated by processing a first image using a first machine learning model. A first textual feature vector is generated by processing a first textual description using a second machine learning model. The first image feature vector and the first textual feature vector are combined to generate a first combined feature vector for a first item. Similarity lists of similar items are generated for the first item based on similarities between the first image feature vector, the first text feature vector, the first combined feature vector and respective corresponding vectors of other items. The similarity lists for the first item are combined to generate a combined similarity list for the first item.

Abstract: A highly caffeinated cocoa-based composition, comprising, a cocoa component comprising cocoa powder; a caffeinated component comprising caffeine, wherein the highly caffeinated cocoa-based composition comprises at least about 1% caffeine by weight; a fat component; a sweetening component, and a complexing component, wherein the complexing component is configured to reduce the bitterness of the caffeinated component, the cocoa component, or both.

Abstract: Various examples are directed to systems and methods for characterizing natural language text units. A plurality of text units may be used to train a bidirectional model. A bidirectional model may be applied to a set of annotated text units to generate a plurality of span context vectors. The plurality of span context vectors may be used to train a span prediction model. The span prediction model may be applied to at least a portion of the plurality of text units to generate a plurality of span characterizations, a first span characterization corresponding to a first span indicating that the first span describes a first job skill.

Abstract: A computer-implemented method can receive a software update for a software application deployable on a target system and perform an automatic performance test of the software application incorporating the software update on the target system. The automatic performance test can be integrated in a continuous integration and continuous delivery (CI/CD) pipeline. The method can collect a plurality of performance metrics measured when performing the automatic performance test and determine a performance score based on the plurality of performance metrics. Responsive to detecting the performance score is below a predefined performance threshold, the method can cause the CI/CD pipeline to reject the software update to the software application.

Abstract: The disclosed technology includes system and method for impressing publicly displayed information on mobile devices. The method comprises determining at least a first place and a second place for a mobile device based on locations associated with the mobile device. Each of the first place and the second place being a place where the mobile device is regularly located as indicated by densities of the locations mapped over a geographical region and the corresponding time stamps. The first place and second place are used to determine one or more travel routes routinely taken by a user of the mobile device, and to build an association database, where the mobile device is associated with one or more information documents, each of the one or more information documents including information publicly displayed along the one or more routes.

Abstract: Requests are received for handling by a cloud computing environment which are then executed by the cloud computing environment. While each request is executing, performance metrics associated with the request are monitored. A vector is subsequently generated that encapsulates information associated with the request including the text within the request and the corresponding monitored performance metrics. Each request is then assigned (after it has been executed) to either a normal request cluster or an abnormal request cluster based on which cluster has a nearest mean relative to the corresponding vector. In addition, data can be provided that characterizes requests assigned to the abnormal request cluster. Related apparatus, systems, techniques and articles are also described.

Abstract: A query is received that requests issues relevant to a user. Thereafter, a plurality of issues responsive to the query are retrieved. The retrieved issues are ranked using a first machine learning model to result in a first subset of the retrieved issues. The first subset of the retrieved issues are then ranked using a second, different machine learning model to result in a second subset of the retrieved issues which are a subset of the first subset of the retrieved issues. Data can then be provided which is responsive the query and includes at least a portion of the second subset of the retrieved issues. Related apparatus, systems, techniques and articles are also described.