Abstract: A method for processing audio in a game includes: determining a target position of a virtual game character in a game scene; determining, based on the target position, a target spatial region in the game scene; determining a first position of a virtual item in response to determining that the virtual item enters the target spatial region, and a second position of the virtual item in response to determining that the virtual item leaves the target spatial region; and determining, based on the first position and the second position, first audio data corresponding to the virtual item, where the first audio data is used for indicating an orientation change of the virtual item during movement from the first position to the second position.

Abstract: Example methods and systems provide a workplace assistant application that can detect electronic content associated with a remote user and access multiple communication channels connected to a workplace assistant client application. The system can submit the electronic content to one or more predictive models to provide a context for the electronic content. The context is based at least in part on information from multiple channels. The system can generate, using the predictive model(s), an action item based at least in part on the context of the electronic content as well as display or store the action item using the workplace assistant client application. An action item, as examples, can be a “to do” item, a meeting agenda, a reminder, a meeting, a task, or some combination of one or more of these.

Abstract: Example methods and systems provide a workplace assistant application that can detect one or more received messages associated with a remote user and access multiple communication channels connected to a workplace assistant client application. Received message(s), information from the channels, and stored metadata can be submitted to one or more predictive models to provide a context for the message(s). The system can generate, using output from the predictive model(s), a response message based at least in part on the context of the received message. The system can display the response in the workplace assistant client application for acceptance or editing by the user, or transmit the response message.

Abstract: Provided are a digital twinning method and system for a scene flow based on a dynamic trajectory flow, which belong to the field of traffic control. The method includes: extracting and identifying a target semantic trajectory with a detecting and tracking integrated multi-modal fusion and perception enhancement network; extracting road traffic semantics, so as to obtain a highly parameterized virtual road layout top view; obtaining a road layout traffic semantic grid encoding vector based on the virtual road layout top view; constructing a target coupling relation model; constructing a traffic force constraint model; constructing a long short term memory trajectory prediction network; predicting a motion trajectory of a target with the long short term memory trajectory prediction network, so as to obtain the predicted motion trajectory; and obtaining a digital twin of the scene flow based on trajectory extraction, semantic identification and the predicted motion trajectory.

Abstract: The present application relates to a silicon-carbon composite material in the form of particles comprising a porous carbon skeleton, a silicon-containing deposition layer, and a carbon-containing coating layer, wherein the silicon-containing deposition layer is in pores of the porous carbon skeleton, the carbon-containing coating layer is on the silicon-containing deposition layer and/or on the surface of the particles, and the silicon-carbon composite material has an oil absorption number of 35 mL/100 g to 80 mL/100 g. The silicon-carbon composite material of the present application has a high energy density and an improved cycle life. In addition, the present application further relates to a negative electrode plate comprising the material, a secondary battery, a battery module, a battery pack, and a power consuming device.

Abstract: This application relates to a silicon-carbon composite material. The silicon-carbon composite material includes a carbon nanotube-and-porous carbon composite substrate and a silicon-based material. The porous carbon is connected to the carbon nanotube by a connecting unit in the carbon nanotube-and-porous carbon composite substrate. The high conductivity and strong mechanical properties of the carbon nanotubes can improve the overall conductivity, compression resistance, and expansion resistance of the silicon-carbon composite material, thereby improving cycle performance, electrode plate cycle expansion resistance, and rate performance of a secondary battery.

Abstract: A silicon carbon negative material is provided. The silicon carbon negative material includes a porous carbon base, nano-silicon crystal grains located in pores of the porous carbon base, and a carbon coating layer located on a surface of the porous carbon base. The nano-silicon crystal grains include an elemental silicon core and a LixSiy coating layer, x is an integer selected from 7 to 22, and y is an integer selected from 3 to 7.

Abstract: A silicon-carbon composite material and a preparation method thereof, a negative electrode plate, and a secondary battery are disclosed. The silicon-carbon composite material includes a porous carbon matrix and silicon-based particles. The porous carbon matrix internally includes a plurality of pore channels with a width of 5 nm-50 nm. The silicon-based particles are distributed in the pore channels, and the porous carbon matrix meets: 1.0×10?7?Vtotal/Stotal?10.0×10?7, where Stotal is the total surface area occupied by the pore channels with the width of 5 nm-50 nm, and the measurement unit is: ×104 cm2/g; and Vtotal is the total pore volume occupied by the pore channels with the width of 5 nm-50 nm. The silicon-carbon composite material has high electrical conductivity. When being applied to a negative electrode of the secondary battery, the silicon-carbon composite material can effectively increase the volume capacity and energy density of the secondary battery.

Abstract: An optical communication module, a device and a system are provided. The optical communication module includes: an electrical communication unit, an exchanging communication mainboard, a first optical transceiving unit and a second optical transceiving unit. The first optical transceiving unit and the second optical transceiving unit respectively receive an optical signal from and/or send an optical signal to a first device and a second device and complete conversion from or to the optical signal, and by the first optical transceiving unit and the second optical transceiving unit, devices connected with the electrical communication unit, the first device and the second device form a network that has a function of a self-healing ring network.

Abstract: The present application provides a silicon-carbon composite, a method of preparing the same, and a secondary battery including the silicon-carbon composite. The silicon-carbon composite includes porous carbon-based matrix particles having a three-dimensional network interconnecting pore structure; and silicon-based nanoparticles, at least a portion of which is provided in the three-dimensional network interconnecting pore structure. The present application enables secondary batteries to have an improved cycle performance and energy density.

Abstract: The present disclosure provides an application software (APP) testing method, an electronic device, and a computer-readable storage medium. The APP testing method includes: acquiring a key log; determining information related to a tested fault cause according to the key log; acquiring a User Interface (UI) screenshot; and comparing the UI screenshot with a pre-stored UI design drawing, and determining whether there is a difference between the UI screenshot and the UI design drawing. The APP testing method provided by the present disclosure can realize quick check of network access logs and crash logs even without a platform of a development tool, assist testers and developers in problem reproduction and fault location, and improve development efficiency of the developers.

Abstract: A method for synthesizing high-entropy alloy (HEA) nanostructures, each having a HEA shell uniformly grown on a nanocore, is provided. The method comprises: mixing nanostructure seeds, a plurality of metal precursors, one or more reducing agents and a surfactant in a solvent to form a first mixture; subjecting the first mixture to ultrasonication under an ultrasonication temperature; degassing the first mixture upon heating at a degassing temperature under vacuum with magnetic stirring; purging the first mixture with an inert gas; and keeping the first mixture at a growth temperature for a growth time to form the HEA nanostructures. The provided method is a low-temperature, facile, general, wet-chemical, seeded epitaxial growth method which can synthesize a library of unconventional-phase HEA nanostructures, e.g., 4H-Au@HEA nanowires and 2H/fcc-Au@HEA nanosheets with 5-10 components by using 4H-Au NWs and 2H/fcc-Au NSs as seeds respectively.

Abstract: A method for manufacturing a core-shell coaxial gallium nitride (GaN) piezoelectric nanogenerator is provided. A mask covering a center part of a gallium nitride wafer is removed. An electrodeless photoelectrochemical etching is performed on the gallium nitride wafer to form a primary GaN nanowire array on a surface of the gallium nitride wafer. A precious metal layer provided on the surface of the gallium nitride wafer is removed and an alumina layer is deposited on the surface of the gallium nitride wafer to cover the primary GaN nanowire array to obtain a core-shell coaxial GaN nanowire array. A first conductive layer is provided on a flexible substrate to which the core-shell coaxial GaN nanowire array is transferred. A second conductive layer is provided at a top end of the core-shell coaxial GaN nanowire array, and is connected to an external circuit to obtain the core-shell coaxial GaN piezoelectric nanogenerator.

Abstract: A method of forming a 1T?-phase transition metal dichalcogenide monolayer. A transition metal precursor and a first solvent are mixed to form a first mixture. A non-oxygen chalcogen or non-oxygen chalcogen precursor and a second solvent are mixed to form a second mixture. The first mixture is rapidly injected into the second mixture at a temperature between approximately 250 and 350° C. to form a third mixture. 1T?-transition metal dichalcogenide monolayers are recovered from the third mixture. The transition metals may be molybdenum or tungsten, while the non-oxygen chalcogens may be sulfur, selenium, or tellurium. The 1T?-transition metal dichalcogenide monolayers can be grown on a variety of metal substrates to form metal@ 1T?-transition metal dichalcogenide monolayer heterostructures. A flexible 4H-Au@1T?-WS2/SiO2/PDMS SERS tape was fabricated to detect the SARS-CoV-2 spike protein. The tape is capable of attomole-level detection of SARS-CoV-2 spike protein, for real-time monitoring of COVID-19.

Abstract: A core-shell coaxial gallium nitride piezoelectric nanogenerator includes a core-shell coaxial gallium nitride nanowire array and a flexible substrate. A first conductive layer is provided on a surface of the flexible substrate. The core-shell coaxial gallium nitride nanowire array is fixed to the flexible substrate. A top end of the core-shell coaxial gallium nitride nanowire array is provided with a second conductive layer. The first conductive layer and the second conductive layer are both connected to an external circuit via a wire. A nanowire of the core-shell coaxial gallium nitride nanowire array is covered with an alumina layer. A method for preparing the core-shell coaxial gallium nitride piezoelectric nanogenerator is further provided. The gallium nitride nanowire array is formed by electrodeless photoelectrochemical etching.

Abstract: A system can arrange a plurality of transport services in a geographic region by matching received transport requests from requesters with standard vehicles to facilitate transport of the requesters to destinations indicated in the transport requests. The transport requests can comprise both requests for standard vehicles and high-capacity vehicle (HCV) requests from HCV requesters. Based on a set of transport services for HCV requesters, from the plurality of transport services, the system can determine over a specified duration of time, a set of demand data for HCV transport services in the geographic region. The system can then execute a route design model using the set of demand data to generate an HCV route network for the geographic region.

Abstract: The invention discloses a method and a device for constructing a SQL statement based on reinforcement learning, wherein the method includes: initializing an actor-critic network parameter; acquiring a sequence pair of natural language and real SQL statement from a data set; inputting a natural language sequence into an actor network encoder, and inputting a real SQL sequence into a critic network encoder; using an encoded hidden state as an initialized hidden state of a corresponding decoder; gradually predicting, by an actor network decoder, a SQL statement action, and inputting the SQL statement action to a critic network decoder and an environment to obtain a corresponding reward; and using a gradient descent algorithm to update the network parameters, and obtaining a constructing model of the natural language to the SQL statement after repeated iteration training.

Abstract: The present invention discloses a method for detecting abnormity in an unsupervised industrial system based on deep transfer learning. Labeled machine sensor sequence data from a source domain and unlabeled sensor sequence data from a target domain are used in the present invention to train an industrial system abnormal detection model with good generalization ability, and the industrial system abnormal detection model is trained and tested to finally generate a trained industrial system abnormity discrimination model. Using the model, received machine sensor sequence data can be analyzed and whether a machine is abnormal is discriminated.

Abstract: Disclosed is a device for measuring speed of a tennis ball, which includes: a housing, a power supply, a main control device, a sensor device, a transmission device, a clamping device and a limiting device. The clamping device is clamped at the serve opening of a tennis ball machine, which can detect the serve speed of a tennis ball accurately with simple operation. The transmission device is engaged with the second sensor device, and the housing is slidably connected with the second sensor device. The emitting ends of the second sensor device and the first sensor device are positioned in the same vertical plane. The limiting device is connected with the second sensor device to limit excessive operation of the transmission device.

Abstract: Disclosed is a device for measuring speed of a tennis ball, which includes: a housing, a power supply, a main control device, a sensor device, a transmission device, a clamping device and a limiting device. The clamping device is clamped at the serve opening of a tennis ball machine, which can detect the serve speed of a tennis ball accurately with simple operation. The transmission device is engaged with the second sensor device, and the housing is slidably connected with the second sensor device. The emitting ends of the second sensor device and the first sensor device are positioned in the same vertical plane. The limiting device is connected with the second sensor device to limit excessive operation of the transmission device.