Abstract: The present invention relates to a benzene ring compound and a use thereof. In particular, provided is a compound as shown in formula I, or an optical isomer thereof or a racemate thereof, or a solvate thereof, or a pharmaceutically acceptable salt thereof.

Abstract: Embodiments of the present application provide a GRPC-based chip test method, a GRPC-based chip test apparatus, and a storage medium. The GRPC-based chip test method comprises: determining a number of to-be-tested chips that actually need to be tested among to-be-tested chips, and issuing a corresponding number of remote instrument call requests according to the number of to-be-tested chips that actually need to be tested; acquiring each of the remote instrument call requests based on a GRPC protocol; and sorting all the remote instrument call requests to form a request execution sequence table, and controlling the test instrument to sequentially test the to-be-tested chips that actually need to be tested according to the request execution sequence table.

Abstract: In an example, first entities are extracted from user profiles. Second entities are extracted from content information associated with content item. User-associated metrics associated with the first entities are determined based upon the user profiles and/or content events. First vector representations of the first entities and second vector representations of the second entities are processed to generate an attention distribution array. Each value of the attention distribution array represents, for a user interested in an entity of the first entities, a proportion of (i) entity-specific activity, of the user, related to an entity of the second entities relative to (ii) an entirety of activity of the user. An inferred activity distribution array is generated by applying the user-associated metrics to the attention distribution array. A filtered subset of activity distribution values is generated by pruning values from the inferred activity distribution array.

Abstract: The present invention discloses a biaxial supporting device for a rotary opposed piston engine, comprising a cylinder body, a fixing component, a thick axle and a thin axle; the interior of the cylinder body has a cavity; the fixing component is fixed on the outer side wall of the cylinder body; the thick axle is provided with a through hole coaxial with the first axle hole, and is rotatably connected with the through hole; the thin axle is in transition fit with the through hole of the thick axle, and is rotatably connected with the fixing component. The present invention has simple structure, can effectively reduce a diameter difference of two axles to ensure the relatively small diameter of the thick axle and the relatively high strength of the thin axle, and can effectively realize biaxial support of the rotary opposed piston engine.

Abstract: The present invention provides a sensing electrode, an electrochemical sensing system using the sensing electrode, methods of preparing and using the sensing electrode and the electrochemical sensing system. The sensing electrode includes a base electrode having a conductive surface, and a coating layer formed on the conductive surface. The coating layer has cavities or holes, each of which can be filled with, bound to, or occupied by, an analyte molecule. A decrease of conductivity of the sensing electrode is correlated to the number of cavities or holes that are filled with, bound to, or occupied by, the molecules of the analyte. The invention exhibits numerous technical merits such as suitability for field application, high sensitivity to analyte such as PFOA or PFAS at 1 ppt level, rapid response within minutes, and superior selectivity against interferences such as PFDA, PFOS, PFOSA, and PFHxA, among others.

Abstract: The present teaching relates to method, system, medium, and implementations for characterizing data. A location feature is first received. A distance-aware embedding for the received location feature is obtained, where the distance-aware embedding for the location feature is learned based on distances between different pairs of locations. A representation of the location feature is then generated based on the embedding for location related predictions.

Abstract: The present teaching relates to personalized content recommendation. A webpage is contrasted for a user having a plurality of slots each of which is to be allocated with a content item. For each of the plurality of slots, a plurality of content items in a plurality of types of content are accessed. For each of the plurality of types of content, a personalized score is predicted for each content item in the type of content, wherein the personalized score is obtained based on a trained model trained. A recommended content item of the type of content is selected based on personalized scores. An overall recommended content item is selected and allocated to a slot based on criteria associated with the personalized scores of the recommended content items and a business rule. The webpage with the plurality of slots allocated with content items is provided to the user.

Abstract: The disclosed systems and methods provide a novel framework that provides mechanisms for a Deep & Cross Network (DCN) framework that performs distilled deep prediction for personalized stream ranking on portal websites. The disclosed framework is scalable to satisfy the much more stringent latency and computational requirements required by current network operating environments. The disclosed framework is able to dynamically evaluate and leverage live traffic on network sites in order to provide, update and maintain current recommendations for users as they traverse to a portal and when they navigate within the portal. The disclosed framework implements a DCN model(s) that is capable of being compressed into a model size for a unified optimization within a live traffic environment by combining knowledge distillation and model compression techniques. The disclosed framework is built as a light-weight deep learning model that can be served in production and perform on par with large models.

Abstract: One or more computing devices, systems, and/or methods for debiasing training data based upon information seeking behaviors are provided. Users associated with a set of training data are segmented into information seeking behavior groups corresponding to varying degrees of information seeking behaviors of the users. Biases for the information seeking behavior groups may be estimated based upon information seeking behaviors of users within the information seeking behavior groups. The training set of data is debiased using the biases to generate a debiased training set of data. A model may be trained to perform a task based upon the debiased training set of data.

Abstract: The present teaching relates to personalized content recommendation. A webpage is contrasted for a user having a plurality of slots each of which is to be allocated with a content item. For each of the plurality of slots, a plurality of content items in a plurality of types of content are accessed. For each of the plurality of types of content, a personalized score is predicted for each content item in the type of content, wherein the personalized score is obtained based on a trained model trained. A recommended content item of the type of content is selected based on personalized scores. An overall recommended content item is selected and allocated to a slot based on criteria associated with the personalized scores of the recommended content items and a business rule. The webpage with the plurality of slots allocated with content items is provided to the user.

Abstract: The present teaching relates to personalized content recommendation. A webpage is contrasted for a user having a plurality of slots each of which is to be allocated with a content item. For each of the plurality of slots, a plurality of content items in a plurality of types of content are accessed. For each of the plurality of types of content, a personalized score is predicted for each content item in the type of content, wherein the personalized score is obtained based on a trained model trained. A recommended content item of the type of content is selected based on personalized scores. An overall recommended content item is selected and allocated to a slot based on criteria associated with the personalized scores of the recommended content items and a business rule. The webpage with the plurality of slots allocated with content items is provided to the user.

Abstract: Embodiments of the present invention provide a method and apparatus for processing advertisement data, and a storage medium. The method includes: executing the following steps in a browser application: obtaining a jump web page link of delivery data to be loaded, where the jump web page link includes a uniform resource locator of a data delivery platform website and identification information of the delivery data; sending delivery data loading request according to the jump web page link, so as to load and present a web page of the delivery data; detecting a loading completion status of jumping from the jump web page link to an arrival web page link including the identification information; and storing the jump web page link, the arrival web page link, and information about the loading completion status in an association.

Abstract: Embodiments of the present invention provide a method and apparatus for processing advertisement data, and a storage medium. The method includes: executing the following steps in a browser application: obtaining a jump web page link of delivery data to be loaded, where the jump web page link includes a uniform resource locator of a data delivery platform website and identification information of the delivery data; sending delivery data loading request according to the jump web page link, so as to load and present a web page of the delivery data; detecting a loading completion status of jumping from the jump web page link to an arrival web page link including the identification information; and storing the jump web page link, the arrival web page link, and information about the loading completion status in an association.

Abstract: Systems that can measure small changes in ion concentrations and method of manufacturing and using those systems. The system includes a substrate, a plurality of multi-walled carbon nanotubes, each multi-walled carbon nanotube from the plurality of multi-walled carbon nanotubes having two ends and a surface extending between the two ends, one of the two ends being disposed on and operatively attached to the substrate, the other of the two ends not being disposed on the substrate, a number of organic molecules; each organic molecule bound to one multi-walled carbon nanotube, each organic molecule also having an end group with affinity for a predetermined ion(s), and a substantially nonconducting polymer deposited on a portion of each multiwalled carbon nanotube, the portion substantially not including locations on each multiwalled carbon nanotube at which each organic molecule is chelated.

Abstract: Sensing methods are sought to overcome the disadvantages—poor sensitivity and selectivity, poor long-term stability, and undeployable. Sensor of these teachings for detecting and recognizing target molecules includes a layer of molecularly imprinted polymer disposed on a single layer graphene sheet. In some instances, the sensor of these teachings also includes a sensing circuit configured to detect and report impedance changes in a layer of molecularly imprinted polymer disposed on a single layer grapheme sheet, the impedance changes caused by the binding of the target molecules to the molecularly imprinted polymer.

Abstract: Biosensors and sensing methods that overcome the disadvantages, poor chemical, physical and long-term stability, hatch to batch variability and high cost sensor of these teachings for detecting and recognizing target molecules includes a capture and release component and a sensing component. The capture release component includes a structure having molecularly imprinted polymer nanoparticles disposed on the structure, the structure being configured to receive a target fluid having the target molecules, the target molecules being captured by one of a molecularly imprinted polymer or molecularly imprinted polymer nanoparticles, and a source of a release solvent configured to release the target molecules captured by the molecularly imprinted polymer nanoparticles, the release solvent and released target molecules constituting a release solution. The sensing component includes a sensor surface having a layer of molecular imprinted polymer disposed on the sensor surface; and a sensing circuit.

Abstract: A molecular recognition sensor system is provided incorporating a molecular imprinted nanosensor device.

Abstract: A pH meter and probe with a screw-down connector that converts a standard BNC pH probe connector into an IP67 waterproof connection.

Abstract: A pH meter and probe with a screw-down connector that converts a standard BNC pH probe connector into an IP67 waterproof connection.

Abstract: A molecular recognition sensor system is provided incorporating a molecular imprinted nanosensor device.