Abstract: Embodiments of the present disclosure provide a display substrate, which has a light-transmissive region. The display substrate includes a substrate, an alignment layer on the substrate, and a convex structure on the alignment layer. The convex structure is on a side of the alignment layer distal to the substrate and does not completely cover the alignment layer. A distance from a surface of the convex structure distal to the substrate to the substrate is greater than a distance from a surface of the alignment layer distal to the substrate to the substrate. The display substrate further comprises a post spacer on a side of the convex structure distal to the alignment layer, the post spacer is located outside the light-transmissive region, and an end surface of the post spacer distal to the convex structure is parallel to a plane where the substrate is located.

Abstract: The features relate to artificial intelligence directed detection of user behavior based on complex analysis of user event data including language modeling to generate distributed representations of user behavior. Further features are described for reducing the amount of data needed to represent relationships between events such as transaction events received from card readers or point of sale systems. Machine learning features for dynamically determining an optimal set of attributes to use as the language model as well as for comparing current event data to historical event data are also included.

Abstract: Systems and methods are described for generating record clusters. The methods comprise receiving a plurality of records from data sources and providing at least a subset of the records to a scoring model that determines scores for various pairings of the records, a score for a given pair of the records representing a probability that the given pair of records contain data elements about the same entity. The method further comprises generating a graph data structure that includes a plurality of nodes, individual nodes representing a different record from the records. The method also comprises assigning a different unique identifier to individual clusters of the final clusters and responding to a request for data regarding a given entity by providing aggregated data elements from those records of the records associated with a cluster of the final clusters having an identifier that represents the given entity.

Abstract: Systems and methods for data aggregation and processing are provided in manner that is decentralized and preserves privacy. A data aggregation and computation system may include an interface, a controller, and one or more clusters of computation nodes. The interface may receive an inquiry from a requesting entity for computing information regarding an individual based on pieces of information held by a plurality of entities. The controller may communicate an identifier for the individual to a processor system associated with each of the entities based on the inquiry. The clusters of computation nodes may each receive encrypted data fragments from each of the processor systems, the data fragments comprising unrecognizable fragments that no individual processor system can re-assemble to recover the information, perform secure, multi-party computations based on the data fragments, and generate a result based on the secure, multi-party computations for the individual.

Abstract: Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.

Abstract: Systems and methods for data aggregation and processing are provided in manner that is decentralized and preserves privacy. A data aggregation and computation system may include an interface, a controller, and one or more clusters of computation nodes. The interface may receive an inquiry from a requesting entity for computing information regarding an individual based on pieces of information held by a plurality of entities. The controller may communicate an identifier for the individual to a processor system associated with each of the entities based on the inquiry. The clusters of computation nodes may each receive encrypted data fragments from each of the processor systems, the data fragments comprising unrecognizable fragments that no individual processor system can re-assemble to recover the information, perform secure, multi-party computations based on the data fragments, and generate a result based on the secure, multi-party computations for the individual.

Abstract: A self-aligning preparation method for a drain underlap region in a tunnel field effect transistor: designing asymmetric side wall structures on two sides of the gate of a tunnel field effect transistor, the side of the gate closest to the source region being a thin side wall and the side of the gate closest to the drain region being a thick side wall; and using the source region thin side wall as a hard mask for implantation of the source region of the transistor and the drain region thick side wall as a hard mask for implantation of the drain region of the transistor. The present method effectively uses the thin side walls and thick side walls existing in standard CMOS processes to suppress the ambipolar effect of the tunnel field effect transistor without introducing special materials and special processes, and also optimizes the device variation characteristics.

Abstract: Disclosed in the present application are a logic circuit design method and apparatus, and a storage medium. The method comprises: designing and generating an initial MOSFET-TFET hybrid logic circuit, the MOSFET-TFET hybrid logic circuit comprising several logic gates; in the series branch of the initial MOSFET-TFET hybrid logic circuit, replacing a first type of TFET with a MOSFET; the first type of TFET being directly grounded or connected to a power supply and not directly connected to the output ends of the logic gates. The logic circuit design method of the present application overcomes the defect of excessive current attenuation caused by the TFET in the series branch by replacing the first type of TFET in the series branch of the initial logic circuit with a MOSFET The first type of TFET is a TFET that is directly grounded or connected to a power supply and not directly connected to the output ends of the logic gates.

Abstract: The present disclosure relates to an additive used in a methionine preparation process, and a methionine preparation method. The additive provided by the present disclosure is a mixture containing components A, B, and C; component A has a structure represented by the following general formula (1); component B has a structure represented by the following general formula (2); component C is silicone oil; RCON(CH3)CH2CH2SO3Na (1). The methionine preparation method provided in the present invention comprises subjecting methionine to crystallization and/or recrystallization in the presence of the additive provided by the present disclosure. The additive provided by the present disclosure results in uniform emulsification, has good stability, can be used stably for a long time, and is suitable for a continuous crystallization process. The prepared methionine crystal has a good crystal form, a large bulk density, and good flowability.

Abstract: Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.

Abstract: The present application discloses a circuit for extracting a feature, a network and a signal processing system. The circuit includes: one or more instant range of change feature extracting units, which are connected in parallel and configured to extract and classify an instant range of change (IROC) feature from an input of an asynchronous pulse coding in the time domain, the input of the asynchronous pulse coding is a pulse request signal and a pulse direction signal obtained by performing time-domain quantization and coding on an analog signal. By the circuit for extracting a feature according to the present application, the instant range of change of an analog input of the asynchronous pulse coding can be directly extracted and classified in the time domain, converting from the time domain to the frequency domain required by the traditional feature extraction process is avoided, and the power consumption overhead is reduced.

Abstract: Systems and methods are provided for laying out reflowable content for display, such as content of an electronic book, in a manner that may differ from spacing properties originally defined in a corresponding reflowable file. When an amount of spacing that the reflowable file indicates should be included in a given line exceeds a threshold that is set based at least in part on the available line display length, the layout may be adjusted to decrease the total spacing for the line without adjusting the display size of reflow objects within the line. The adjusted layout may include utilizing a scaled down amount of space relative to the spacing properties defined in the reflowable file, or applying a different alignment type than is indicated by the reflowable file.

Abstract: The features relate to artificial intelligence directed detection of user behavior based on complex analysis of user event data including language modeling to generate distributed representations of user behavior. Further features are described for reducing the amount of data needed to represent relationships between events such as transaction events received from card readers or point of sale systems. Machine learning features for dynamically determining an optimal set of attributes to use as the language model as well as for comparing current event data to historical event data are also included.

Abstract: Provided by the present disclosure are a method and a device for preparing 2-hydroxy-4-methylthiobutyric acid and intermediates thereof; the intermediates for preparing 2-hydroxy-4-methylthiobutyric acid comprise 3-methylthiopropionaldehyde and 2-hydroxy-4-methylthiobutyronitrile. The method for preparing 2-hydroxy-4-methylthiobutyric acid provided by the present disclosure comprises: step (1), a step of reacting acrolein with methyl mercaptan to prepare 3-methylthiopropionaldehyde; step (2), a step of reacting 3-methylthiopropionaldehyde with hydrocyanic acid to prepare 2-hydroxy-4-methylthiobutyronitrile; and step (3), a step of hydrating 2-hydroxy-4-methylthiobutyronitrile by using sulfuric acid and then hydrolyzing to prepare 2-hydroxy-4-methylthiobutyric acid; wherein in steps (1), (2) and (3), the reaction status of the materials is detected online, and the proportions of the materials are controlled according to the detection results such that reactions are performed completely.

Abstract: Systems and methods are provided for implementing machine learning techniques to distinguish a real identity, such as a set of identity information representing a real person, from a synthetic identity that may include portions of real identity information. Attributes regarding a target identity derived from a variety of retrieved data records may be provided as input to multiple machine learning models that generate scores associated with the potential of the target identity being synthetic. The scores may be combined and compared to a threshold to generate a determination of whether the target identity is a synthetic identity.

Abstract: Systems and methods are provided for laying out reflowable content for display, such as content of an electronic book, in a manner that may differ from spacing properties originally defined in a corresponding reflowable file. When an amount of spacing that the reflowable file indicates should be included in a given line exceeds a threshold that is set based at least in part on the available line display length, the layout may be adjusted to decrease the total spacing for the line without adjusting the display size of reflow objects within the line. The adjusted layout may include utilizing a scaled down amount of space relative to the spacing properties defined in the reflowable file, or applying a different alignment type than is indicated by the reflowable file.

Abstract: Provided by the present disclosure are a method and a device for preparing 2-hydroxy-4-methylthiobutyric acid and intermediates thereof; the intermediates for preparing 2-hydroxy-4-methylthiobutyric acid comprise 3-methylthiopropionaldehyde and 2-hydroxy-4-methylthiobutyronitrile.

Abstract: Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.

Abstract: Systems and methods for data aggregation and processing are provided in manner that is decentralized and preserves privacy. A data aggregation and computation system may include an interface, a controller, and one or more clusters of computation nodes. The interface may receive an inquiry from a requesting entity for computing information regarding an individual based on pieces of information held by a plurality of entities. The controller may communicate an identifier for the individual to a processor system associated with each of the entities based on the inquiry. The clusters of computation nodes may each receive encrypted data fragments from each of the processor systems, the data fragments comprising unrecognizable fragments that no individual processor system can re-assemble to recover the information, perform secure, multi-party computations based on the data fragments, and generate a result based on the secure, multi-party computations for the individual.

Abstract: Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.