Abstract: An intermediate of a polyamine derivative, a preparation method therefor, and a use thereof. The intermediate is easy to prepare and high in purity; and when the intermediate is used for preparing the polyamine derivative, the obtained product is high in purity, the operation is simple and convenient, the purity and yield of the polyamine derivative are improved, the purification operation for the product is simplified, and the industrial production of the polyamine derivative and a medicinal salt thereof can be improved. Further provided is a preparation method for the polyamine derivative, the operation thereof is simple and convenient, and the purity of the obtained product is high. The method has a very good application prospect in the field of chemical medicines.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing conversion path performance measures and reports. In one aspect, user interaction data are obtained, were the user interaction data specify user interactions for a plurality of conversions. User interactions that are associated with each conversion are selected from the user interaction data, where the associated user interactions for each conversion are user interactions with a converting user during the conversion cycle for the conversion. Using the user interaction data for the selected user interactions, a quantity of user interactions that are associated with each conversion and occurred during the conversion cycle for the conversion are determined. In turn, conversion path performance measures are computed and reports specifying the conversion path performance measures are generated.

Abstract: A method and a system for temperature measurement of fluid in a pipe, an electronic device and a storage medium are provided, and relates to the technical field of temperature measurement in a pipe. The method includes: determining fixed parameters of an object to be measured, a flow rate of the fluid, a noise variance and an observation variance; determining a predicted temperature at a current moment according to an optimal internal pipe temperature and a flow rate of the fluid at a previous moment; determining a covariance at the current moment according to the noise variance and an optimal covariance at the previous moment; determining a weight coefficient at the current moment; and determining an optimal internal pipe temperature at the current moment, thereby expanding the application range of temperature measurement in a pipe.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing conversion path performance measures and reports. In one aspect, user interaction data are obtained, were the user interaction data specify user interactions for a plurality of conversions. User interactions that are associated with each conversion are selected from the user interaction data, where the associated user interactions for each conversion are user interactions with a converting user during the conversion cycle for the conversion. Using the user interaction data for the selected user interactions, a quantity of user interactions that are associated with each conversion and occurred during the conversion cycle for the conversion are determined. In turn, conversion path performance measures are computed and reports specifying the conversion path performance measures are generated.

Abstract: A method for analyzing a correlation between rail transit and direct current (DC) magnetic bias of a transformer includes the steps of, A: obtaining a current of a feed cable and a DC magnetic bias current: measuring the feed cable current in rail transit and the DC magnetic bias current of a transformer in a power grid within a certain period by a monitoring apparatus; B: calculating a characteristic quantity of the feed current within the measurement period based on the obtained current of the feed cable; C: calculating a characteristic quantity of the DC magnetic bias current within the measurement period based on the DC magnetic bias current; and D: calculating a support degree and a confidence coefficient based on the calculated characteristic quantity of the feed current and the calculated characteristic quantity of the DC magnetic bias current, and generating a correlation rule.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing conversion path performance measures and reports. In one aspect, user interaction data are obtained, were the user interaction data specify user interactions for a plurality of conversions. User interactions that are associated with each conversion are selected from the user interaction data, where the associated user interactions for each conversion are user interactions with a converting user during the conversion cycle for the conversion. Using the user interaction data for the selected user interactions, a quantity of user interactions that are associated with each conversion and occurred during the conversion cycle for the conversion are determined. In turn, conversion path performance measures are computed and reports specifying the conversion path performance measures are generated.

Abstract: A method for analyzing a correlation between rail transit and direct current (DC) magnetic bias of a transformer includes the following steps: A: obtaining a current of a feed cable and a DC magnetic bias current: measuring the feed cable current in rail transit and the DC magnetic bias current of a transformer in a power grid within a certain period by a monitoring apparatus; B: calculating a characteristic quantity of the feed current within the measurement period based on the obtained current of the feed cable; C: calculating a characteristic quantity of the DC magnetic bias current within the measurement period based on the DC magnetic bias current; and D: calculating a support degree and a confidence coefficient based on the calculated characteristic quantity of the feed current and the calculated characteristic quantity of the DC magnetic bias current, and generating a correlation rule.

Abstract: A permanent magnet direct-drive bogie and a rail vehicle thereof are disclosed.

Abstract: An integrated system and method for measuring and calibrating a parameter relating to an object or the environment is provided. The integrated measuring system may include a memory that may store a library of calibration formulas, a communication module that may retrieve information from a sensor, and a computing center that may perform calibration based on at least some of the received information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing conversion path performance measures and reports. In one aspect, user interaction data are obtained, were the user interaction data specify user interactions for a plurality of conversions. User interactions that are associated with each conversion are selected from the user interaction data, where the associated user interactions for each conversion are user interactions with a converting user during the conversion cycle for the conversion. Using the user interaction data for the selected user interactions, a quantity of user interactions that are associated with each conversion and occurred during the conversion cycle for the conversion are determined. In turn, conversion path performance measures are computed and reports specifying the conversion path performance measures are generated.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing conversion path performance measures and reports. In one aspect, user interaction data are obtained, were the user interaction data specify user interactions for a plurality of conversions. User interactions that are associated with each conversion are selected from the user interaction data, where the associated user interactions for each conversion are user interactions with a converting user during the conversion cycle for the conversion. Using the user interaction data for the selected user interactions, a quantity of user interactions that are associated with each conversion and occurred during the conversion cycle for the conversion are determined. In turn, conversion path performance measures are computed and reports specifying the conversion path performance measures are generated.

Abstract: To fabricate a perovskite solar cell (PSC), a printable carbon electrode is formed on an uppermost layer, either a perovskite layer or an interface layer thereon, of a partially-completed PSC. A carbon ink is first prepared by dispersing carbon materials in a mixture of a polymer binder and a solvent. Then the carbon ink is screen-printed on the uppermost layer to form a wet film thereon. The wet film is baked with a baking temperature not exceeding 100° C. to evaporate the solvent to form the carbon electrode. Advantageously, the wet film is pressed with a pressure during baking such that the carbon electrode becomes denser and yields a lower sheet resistance when compared to one formed without being pressed. Preferably the pressure is at least 16,000 Pa. Experimental results show that the percentage reduction of sheet resistance can reach 40%.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for dynamically generating and configuring pre-aggregated datasets optimized for responding to particular types of data requests made against a large sub-optimal multidimensional dataset are disclosed. A dynamic aggregator monitors the query types and response latencies associated with queries made against the large multidimensional dataset. The dynamic aggregator defines pre-aggregated datasets based on the types of queries received from users and calculates a respective benefit score for each pre-aggregated dataset. The benefit score of each pre-aggregated dataset can be based on the recorded latencies and query count for the pre-aggregated dataset. The dynamic aggregator can decide whether to generate and/or maintain particular pre-aggregated datasets based on the current values of the benefit scores associated with the particular pre-aggregated datasets.

Abstract: An integrated system and method for measuring and calibrating a parameter relating to an object or the environment is provided. The integrated measuring system may include a memory that may store a library of calibration formulas, a communication module that may retrieve information from a sensor, and a computing center that may perform calibration based on at least some of the received information.

Abstract: Disclosed are composite anodes for a lithium ion battery containing carbon material core particles and a coating layer of LTO particles over the carbon material core particles, the coating layer of LTO particles at least partially covering the carbon material core particles. Also disclosed are anodes for a lithium ion battery containing activating treated surface modified graphite particles, wherein at least one of an inorganic acid or an oxidizing agent is used to treat and modify the surface of the graphite particles.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for tracking activities following a view of a sponsored video content item. A method includes: determining that a user has been presented a sponsored video content item; tracking specific activities after the presentation including identifying activities of the user in a channel associated with the sponsored video content item in a specified time period and attributing the specific activities to the presentation of the sponsored video content item; and surfacing the specific activities to a sponsor of the sponsored video content item.

Abstract: Systems and methods for creating a data-driven attribution model are described. A processor identifies visits to a website. The processor identifies a path for each visitor identifier associated with the visits. The processor determines, for each path type associated with the identified paths, a path-type conversion probability based on a number of visits corresponding to the path type that resulted in a conversion. The processor calculates, for each of a plurality of the path types, a counterfactual gain for each event based on a conversion probability of the given path type and a conversion probability of a path type that does not include the event for which the counterfactual gain is calculated. The processor determines, for each event, an attribution credit based on the calculated counterfactual gain of the event. The processor then stores the attribution credits of each of the events.

Abstract: Methods and systems for providing for display attribution data associated with one or more events are disclosed. Processor identifies channels from paths including events corresponding to position data identifying a position along the path at which the event was performed. Processor determines attribution credits assigned to each event included in the paths corresponding to the channel. Processor determines a number of attribution credits assigned to the channel. Processor identifies, from the paths, a plurality of event-position pairs. Each event-position pair corresponds to events that correspond to a respective channel and are performed at a respective position of the plurality of paths corresponding to the event-position pair. Processor determines, for each identified event-position pair, a weighting based on an aggregate of the attribution credits assigned to the events to which the event-position pair corresponds.

Abstract: Systems and methods for creating rules for assigning attribution credit across events, includes, identifying, by a processor, conversions at a website. The processor identifies path types associated with the conversions. Each path type identifies events and a index position indicating an event's relative position. The processor identifies a subset of the identified path types to be rewritten according to a path rewriting policy. The processor then rewrites the identified subset of the identified path types as rewritten path types. The processor determines, for each of the rewritten path types and remaining identified path types associated with the identified conversions, attribution credits for each event included in the path type. The processor creates, for each of the rewritten path types and remaining identified path types associated with the identified conversions, a rule for assigning the determined attribution credit to each event of the path type for which the rule is created.

Abstract: Systems and methods for selecting content for display at a device includes, identifying by a processor, a visitor identifier associated with a device on which to display content. The processor can identify a path associated with the visitor identifier. The path corresponding to a sequence of one or more events through which the visitor identifier has visited the website. The processor can identify a conversion probability of the identified path. The conversion probability of the identified path indicates a likelihood that the visitor identifier will convert at the website. The conversion probability of the identified path is a ratio of a number of conversions at the website to a number of visits to the website over a given time period. The processor can select content for display. The content selected based on the identified conversion probability of the identified path.