Abstract: Aspects of the disclosure are directed to a method for use on a blockchain network that includes an accounting node subnetwork having accounting nodes configured to record a data block onto a blockchain and a service node having service nodes configured to verify data blocks recorded by the accounting nodes onto the blockchain. The method can include generating a signature based on transaction information to be included in a data block to be added onto the blockchain by using a key specific to the accounting node. The method can further include adding the transaction information and the generated signature to the data block and adding the data block onto the blockchain, and transmitting the signature to the service nodes in the service node subnetwork, so that the service nodes perform signature verification on the signature based on the key specific to the accounting node.

Abstract: This application provide a data management method for a blockchain system, a medium, and an electronic device. The system includes an accounting node sub-network and a service node sub-network. The method includes: adding, after an accounting node generates a first data block, first key information used for verifying a block header of a second data block generated after the first data block to a block header of the first data block; generating a signature corresponding to the first data block, and adding the signature corresponding to the first data block to the block header of the first data block; and releasing the block header of the first data block to the service node sub-network, to cause a service node to verify the signature included in the block header of the first data block, and obtaining the first key information after a successful verification to verify the block header of the second data block.

Abstract: A data processing method performed by a first device includes: generating, in response to first service data satisfying a data uploading condition, a first bit array corresponding to the first service data; encrypting the first bit array through a data key to obtain a ciphertext bit array, the data key being generated by a second device in a data intersection application run in a trusted execution environment of the second device; and transmitting the ciphertext bit array to a blockchain node for forwarding to a second device, for the second device to decrypt, in the data intersection application through the data key, the ciphertext bit array to obtain the first bit array.

Abstract: An autonomous vehicle includes one or more sensors for detecting an object in an environment surrounding the autonomous vehicle and a vehicle computing system comprising one or more processors receiving canonical route data associated with at least one canonical route, and controlling travel of the autonomous vehicle based on sensor data from the one or more sensors and the canonical route data associated with the at least one canonical route. The at least one canonical route comprises at least one roadway connected with another roadway in a plurality of roadways in a geographic location that satisfies at least one route optimization function derived based on trip data associated with one or more traversals of the plurality of roadways in a geographic location by one or more autonomous vehicles.

Abstract: In a blockchain transaction execution method, a first transaction of a first blockchain is received from a proxy program component. The first transaction is based on a second transaction of a second blockchain. A data structure of the first transaction is different from a data structure of the second transaction. The second transaction is extracted from the first transaction. A virtual machine is invoked to execute the second transaction of the second blockchain. An execution result of the second transaction is transmitted to the application via the proxy program component.

Abstract: In a blockchain data processing method, service updating data of each of a plurality of encrypted data is received. The service updating data of each of the plurality of encrypted data includes encrypted primary key information of the respective encrypted data. Each of the plurality of encrypted data includes service data encrypted by a respective service node of a plurality of service nodes. Service intersection data is generated based on a data intersection of the service updating data of the plurality of encrypted data. The service intersection data is transmitted to a service node of the plurality of service nodes. The service intersection data includes supplemental text data from another service node of the plurality of service nodes.

Abstract: A blockchain-based data processing method, apparatus, and computer-readable medium are provided. Block proposal information is received including a block and a digital signature transmitted by an out-block node. The digital signature is obtained by performing digital signature processing on block header information included in the block. The block header information includes a first Merkel root determined based on transaction data in the block body information. Digest calculation on the block header information is performed to obtain first digest information. De-signature processing is performed on the digital signature to obtain second digest information. A second Merkel root is determined based on the transaction data acquired from the block proposal information when the first digest information and the second digest information are matched. An operation on the block is performed based on a comparison result of the first Merkel root and the second Merkel root.

Abstract: The present disclosure provides a grouting reinforcement filler for mining and a preparation method thereof The grouting reinforcement filler for mining includes a first component and a second component. The first component includes 100 to 130 parts by weight of a polyol polymer, 0.8 to 1.2 parts by weight of a catalyst, 0.1 to 0.3 parts by weight of a foaming agent, and 0.5 to 1.5 parts by weight of a surfactant, and the second component includes 65 to 85 parts by weight of polyisocyanate, 5 to 15 parts by weight of a modifier, 10 to 20 parts by weight of a plasticizer, and 10 to 15 parts by weight of a reactive flame retardant.

Abstract: An electronic device, which may be handheld, is provided with a touch sensor and display screen. The display screen may be on a front surface of the device, and the touch sensor may be on a rear surface. Virtual keyboard key contact areas are responsive to user touch inputs, without providing any visual indicia on the display screen indicative of the positions associated with the key contact areas. Key contact area positions can be dynamically adjusted in response to locations on the touch sensitive input surface of user touch inputs.

Abstract: An electronic device, which may be handheld, is provided with a touch sensor and display screen. The display screen may be on a front surface of the device, and the touch sensor may be on a rear surface. Virtual keyboard key contact areas are responsive to user touch inputs, without providing any visual indicia on the display screen indicative of the positions associated with the key contact areas. Key contact area positions can be dynamically adjusted in response to locations on the touch sensitive input surface of user touch inputs.

Abstract: When a content item is initially served to a client device, the content item may result in an impression effect. As time elapses, the initial impression may fade. Such a decay of the impression effect may be predicted through the use of a predictive model. In some implementations, one or more impression effect parameters may be accessed and used with the predictive model to determine a decay factor or predicted value that incorporates the impression effect decay for a content item. A value, such as a score, may be determined based on the decay factor or the predicted value and a bid associated with a content item. A content item may be selected based on the determined value and data to effect presentation of the content item may be provided.

Abstract: A handheld electronic device is provided with touch sensors on multiple different surfaces of the device, such as a front display, a rear surface, and one or more side surfaces. Haptic gestures on the various sensors may be processed as user interaction inputs for an operating system and/or application software. Such a configuration may be utilized for a typing keyboard on a rear surface of a device, leaving the front display available for content other than a keyboard. Such a device with multiple touch sensors may also be effectively utilized to efficiently manipulate object representations rendered in three or more dimensions in a scene. Touch inputs may be dynamically mapped, further assisting in convenient usage of surfaces that may not be directly within a user's line of sight for input.

Abstract: When a content item is initially served to a client device, the content item may result in an impression effect. As time elapses, the initial impression may fade. Such a decay of the impression effect may be predicted through the use of a predictive model. In some implementations, one or more impression effect parameters may be accessed and used with the predictive model to determine a decay factor or predicted value that incorporates the impression effect decay for a content item. A value, such as a score, may be determined based on the decay factor or the predicted value and a bid associated with a content item. A content item may be selected based on the determined value and data to effect presentation of the content item may be provided.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing content items based on a location of a user's attention in a map interface. In one aspect, a method includes receiving data specifying one or more map attention spots in a viewport of a map interface presented at a user device. Each map attention spot is a location on a map of the map interface corresponding to a specified amount of user activity. Content items are identified for presentation with the map. For each content item and map attention spot, a distance between a presentation location for the content item on the map and a location of the identified map attention spot on the map is determined. A rank score for the content item based at least on a respective content item score for the content item and each determined distance for the content item.

Abstract: A handheld electronic device is provided with touch sensors on multiple different surfaces of the device, such as a front display, a rear surface, and one or more side surfaces. Haptic gestures on the various sensors may be processed as user interaction inputs for an operating system and/or application software. Such a configuration may be utilized for a typing keyboard on a rear surface of a device, leaving the front display available for content other than a keyboard. Such a device with multiple touch sensors may also be effectively utilized to efficiently manipulate object representations rendered in three or more dimensions in a scene. Touch inputs may be dynamically mapped, further assisting in convenient usage of surfaces that may not be directly within a user's line of sight for input.

Abstract: Systems and techniques are provided for determining mutual information with absolute dependency for feature selection. Items may be received from a dataset. Each item may include two random variables. A first random variable may be associated with a first range of discrete values, and a second random variable may be associated with a second range of discrete values.

Abstract: When a content item is initially served to a client device, the content item may result in an impression effect. As time elapses, the initial impression may fade. Such a decay of the impression effect may be predicted through the use of a predictive model. In some implementations, one or more impression effect parameters may be accessed and used with the predictive model to determine a decay factor or predicted value that incorporates the impression effect decay for a content item. A value, such as a score, may be determined based on the decay factor or the predicted value and a bid associated with a content item. A content item may be selected based on the determined value and data to effect presentation of the content item may be provided.

Abstract: An autonomous vehicle includes one or more sensors for detecting an object in an environment surrounding the autonomous vehicle and a vehicle computing system comprising one or more processors receiving canonical route data associated with at least one canonical route, and controlling travel of the autonomous vehicle based on sensor data from the one or more sensors and the canonical route data associated with the at least one canonical route. The at least one canonical route comprises at least one roadway connected with another roadway in a plurality of roadways in a geographic location that satisfies at least one route optimization function derived based on trip data associated with one or more traversals of the plurality of roadways in a geographic location by one or more autonomous vehicles.

Abstract: When a content item is initially served to a client device, the content item may result in an impression effect. As time elapses, the initial impression may fade. Such a decay of the impression effect may be predicted through the use of a predictive model. In some implementations, one or more impression effect parameters may be accessed and used with the predictive model to determine a decay factor or predicted value that incorporates the impression effect decay for a content item. A value, such as a score, may be determined based on the decay factor or the predicted value and a bid associated with a content item. A content item may be selected based on the determined value and data to effect presentation of the content item may be provided.

Abstract: The modeling of an impression effect may include generating a content item impression effect distribution. A classification model may be used to determine a period of the content item impression effect distribution based on one or more accessed impression effect parameters. A value for a content item may be determined based, at least in part, on the determined period and a bid associated with the content item. A content item may be selected based on the determined value and data to display the selected content item may be transmitted. In some instances, the determined period may be used to determine or select predictive model for the determined period that outputs a factor to modify the determined value.