Abstract: The display control method for an electronic device with a foldable screen according to an embodiment of this application includes: The electronic device determines a first use posture of using the electronic device by a user, and locks a first screen in response to the first use posture; and when detecting a photographing scenario of a camera and a flip operation performed by the user of the electronic device, the electronic device detects whether an object approaches the electronic device, and in response to a detection result, switches from performing displaying on the first screen to performing displaying on a second screen, or maintains the first screen on and the second screen off. In embodiments of this application, intelligent screen locking or automatic screen switching can be implemented based on different application scenarios, to implement an intelligent terminal device, and improve use performance of the terminal device.

Abstract: Aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for signaling a new data indicator (NDI) and/or redundancy version (RV) for physical uplink/downlink shared channel (PxSCH) transmissions scheduled by a multi-PxSCH downlink control information (DCI) grant. In some cases, these techniques may be used even when a scheduled PxSCH transmission is invalid. In some cases, a number of bits in an NDI field of the DCI corresponds to a number of PxSCHs scheduled by the multi-PxSCH DCI grant. In some cases, a number of bits in an RV field of the DCI corresponds the number of PxSCHs scheduled by the multi-PxSCH DCI grant.

Abstract: Disclosed are a Nested Named Entity Recognition method based on part-of-speech awareness, system, device and storage medium therefor. The method uses a BiLSTM model to extract a feature of text word data in order to obtain a text word depth feature, and each text word of text to be recognized is initialized into a corresponding graph node, and a text heterogeneous graph of the text to be recognized is constructed according to a preset part-of-speech path, the text word data of the graph nodes is updated by an attention mechanism, and the features of all graph nodes of the text heterogeneous graph are extracted using the BiLSTM model, and a nested named entity recognition result is obtained after decoding and annotating. The present disclosure can recognize ordinary entities and nested entities accurately and effectively, and enhance the performance and advantages of the nested named entity recognition model.

Abstract: The present disclosure provides a gene combination for expressing and producing terrequinone A in Escherichia coli and use thereof. The gene combination includes a tdiAS gene, a tdiBS gene, a tdiCS gene, a tdiDS gene, a tdiES gene, an sfpS gene, an ScCKS gene, and an AtIPKS gene with nucleotide sequences set forth in SEQ ID NOS:1 to 8. In the present disclosure, a recombinant engineered strain capable of producing terrequinone A having anti-cancer activity is obtained by separately constructing recombinant plasmids pC02 and pU03 through the eight genes and transforming the two recombinant plasmids into E. coli. The content of terrequinone A in a fermentation broth thereof is 106.3 mg/L, which has potential application value in the biopharmaceutical field.

Abstract: The present application provides an audio and video playing system, a playing method and a playing device. The system comprises: a display device; a directional sound output module configured to output a directional sound signal; a tracking element configured to monitor a target visual area and to monitor the target display area on the display screen; and a processor, connected with the directional sound output module and the tracking element respectively, and configured to acquire a first audio and video data to be output in the target display area, display image information of the first audio and video data in the target display area, and output sound information of the first audio and video data to the directional sound output module such that the directional sound output module output a directional sound signal towards the target visual area.

Abstract: Disclosed are a display panel and a driving method therefor, and a display device. Two adjacent rows of sub-pixels are taken as a row group, and the row group is provided with a first sub row group and a second sub row group that are arranged in a column direction; a gate electrode of a first transistor in the first sub row group is electrically connected to a first gate line; a gate electrode of a second transistor in the second sub row group is electrically connected to a second gate line; two adjacent sub-pixels in the column direction share one third transistor, and a gate electrode of the third transistor in the row group is electrically connected to a third gate line; and the first transistor and the second transistor in one column of sub-pixels are electrically connected to a data line by means of the shared third transistor.

Abstract: The present disclosure provides a displaying backplane and a displaying device, and relates to the technical field of displaying. The displaying backplane includes: a substrate base plate; a first active layer and a second active layer that are provided on the substrate base plate, wherein the material of the first active layer and the second active layer is an oxide semiconductor, the first active layer has a first channel region and first no-channel regions, and the second active layer has a second channel region and second no-channel regions; a first grid insulating layer covering the first active layer and the second active layer; and a first grid and a second grid that are provided on the first grid insulating layer; wherein the oxygen-vacancy concentration of the first channel region is greater than the oxygen-vacancy concentrations of the first no-channel regions, the second no-channel regions and the second channel region.

Abstract: The present disclosure relates to generating a complex entity index based on a combination of atomic and deep learned attributes associated with instances of a complex entity. For example, systems described herein generate a multi-dimensional representation of entity instances based on evaluation of digital content associated with the respective entity instances. Systems described herein further generate an index representation in which similarity of entity instances are illustrated and presented via an interactive presentation that enables a user to traverse instances of an entity to observe similarities and differences between instances of an entity that have similar embeddings to one another within a multi-dimensional index space.

Abstract: A data processing system implements obtaining query parameters for a query for content items in a datastore, the query parameters including attributes of content items for which a search is to be conducted; obtaining a first set of content items from a content datastore based on the query parameters; analyzing the first set of content items using a first machine learning model trained to generate relevant content information that identifies a plurality of relevant content items included in the first set of content items; and analyzing the plurality of relevant content items using a second machine learning model configured to output novel content information, the novel content information including a plurality of content items predicted to be relevant and novel, the novel content information ranking the plurality of content items predicted to be relevant and novel based on a novelty score associated with each respective content item.

Abstract: A method for evaluating performance of a natural gas analysis system includes obtaining components of a natural gas analysis system as well as the maximum allowable error and the maximum allowable deviation of a calorific value of each of the components. The method includes determining components and uncertainties of a standard gas mixture; obtaining a final peak area of each of the components in each group of standard gas mixture. The method includes obtaining calibration functions of the natural gas analysis system and analytical functions of respective components. The method includes obtaining an uncertainty and a calorific value uncertainty of each of the components. The method includes judging whether the evaluation result from the natural gas analysis system to be evaluated is qualified, and providing a performance evaluation conclusion for the natural gas analysis system.

Abstract: A data processing system implements obtaining query parameters for a query for content items in a datastore, the query parameters including attributes of content items for which a search is to be conducted; obtaining a first set of content items from a content datastore based on the query parameters; analyzing the first set of content items using a first machine learning model trained to generate relevant content information that identifies a plurality of relevant content items included in the first set of content items; and analyzing the plurality of relevant content items using a second machine learning model configured to output novel content information, the novel content information including a plurality of content items predicted to be relevant and novel, the novel content information ranking the plurality of content items predicted to be relevant and novel based on a novelty score associated with each respective content item.

Abstract: An airspace network optimization method based on a flight normality target is capable of comprehensively considering spatial and temporal distribution of national air traffic demands, a service capability of an airspace network and a capacity increase limit of each airspace unit according to the flight normality optimization target on the basis of carrying out pre-analysis on a flight operation efficiency under a current airspace service capability, to position a key problem airspace and generate a capacity expansion suggestion of the related airspace; and aims at improving the flight operation efficiency by expanding the airspace service capability, and providing technical support for a user to carry out analysis and optimization work of national airspace network problems at a strategic level.

Abstract: A multi-dimensional flight release efficiency evaluation method. The method comprises: obtaining air flow control production and operation data which mainly comprises airspace capacity information, flight scheduling basic information, flight four-dimensional trajectory information and the like through a business information comprehensive processing platform, identifying a flight object affected by flow control and a flight object restricted by flow control through processing the operation data, analyzing a flight release time-hopping degree, calculating flight release delay distribution, evaluating controlled flight release fairness, predicting a controlled flight release normal rate, comparing airspace flow capacity matching situations, establishing a multi-dimensional flight release efficiency evaluation index set, and visually displaying evaluation indexes in modes of list, histogram, line chart, radar chart and the like.

Abstract: An electronic device for monitoring. The electronic device includes a functional module arranged to provide an active function, a communication module arranged to communicate with an external communication device, and an energy harvesting module arranged to transform a source energy from an external source to electrical energy for energising both the communication module and the functional module.

Abstract: The present disclosure describes a firmware analysis system and method that can generate a collection of protocol constraints from known firmware and apply the collection of protocol constraints towards an unknown firm to recognize protocol relevant fields and detect functionality within the unknown firmware.

Abstract: A method for running a stand-alone program includes: running the stand-alone program in a first main program, and establishing a network connection between a first terminal and a second terminal through the first main program run in the first terminal and a second main program run in the second terminal; and transmitting, by the first terminal, image information to the second terminal and transmitting, by the second terminal, a second operation command to the first terminal, through the network connection. A first operation object and a second operation object in the stand-alone program are separately controlled.

Abstract: A multi-dimensional flight release efficiency evaluation method. The method comprises: obtaining air flow control production and operation data which mainly comprises airspace capacity information, flight scheduling basic information, flight four-dimensional trajectory information and the like through a business information comprehensive processing platform, identifying a flight object affected by flow control and a flight object restricted by flow control through processing the operation data, analyzing a flight release time-hopping degree, calculating flight release delay distribution, evaluating controlled flight release fairness, predicting a controlled flight release normal rate, comparing airspace flow capacity matching situations, establishing a multi-dimensional flight release efficiency evaluation index set, and visually displaying evaluation indexes in modes of list, histogram, line chart, radar chart and the like.

Abstract: Example embodiments provide methods, apparatuses, systems, computing devices, and/or the like for vetting USB device firmware via a USB-specific firmware analysis framework. In one example, a method is provided for analyzing firmware of a Universal Serial Bus (USB) device. The example method includes steps of receiving a firmware image extracted from the USB device, identifying signatures from the firmware image relating to USB operation, and building an expected model of operation of the USB device using the identified signatures and a database of operational information regarding USB devices. The example method further includes the steps of generating a recovered model of operation of the USB device based on the firmware image and the identified signatures, and comparing the recovered model of operation with the expected model of operation to identify unexpected or unknown behaviors. The example method may further include generating a report comprising the identified unexpected or unknown behaviors.

Abstract: A flight schedule optimization method based on a flight normality target is capable of carrying out pre-analysis on flight operation efficiency of a current flight schedule based on a national air traffic control service capability, and on this basis, generating a corresponding flight schedule adjustment suggestion according to a flight normality optimization target, which aims to provide a technical support means for carrying out flight schedule rationality analysis and optimization in strategic air traffic flow management.

Abstract: The present disclosure relates to generating a complex entity index based on a combination of atomic and deep learned attributes associated with instances of a complex entity. For example, systems described herein generate a multi-dimensional representation of entity instances based on evaluation of digital content associated with the respective entity instances. Systems described herein further generate an index representation in which similarity of entity instances are illustrated and presented via an interactive presentation that enables a user to traverse instances of an entity to observe similarities and differences between instances of an entity that have similar embeddings to one another within a multi-dimensional index space.