Abstract: A gene regulatory relationship detection model training method performed by an electronic device, and relate to the field of biology technologies. The gene regulatory relationship detection model training method includes: obtaining material group data of a plurality of sample genes and an annotated regulatory relationship between at least one sample gene pair; determining a predicted probability that a regulatory relationship exists between each two sample genes among the plurality of sample genes by using a neural network model based on the material group data of the plurality of sample genes; and training the neural network model to obtain a gene regulatory relationship detection model, based on the annotated regulatory relationship between the at least one sample gene pair and the predicted probability between each two sample genes.

Abstract: A system for regulating an environment within an operator cabin of a machine via a heating, ventilation, and air conditioning (HVAC) system includes a first sensor that generates a first signal of an amount of air pressure within the operator cabin, a second sensor that generates a second signal of an amount of carbon dioxide within the operator cabin, an air filtration element to direct pre-cleaned air into the operator cabin, an inlet valve disposed between the air filtration element and the HVAC system for controlling a flowrate of the pre-cleaned air to the HVAC system, and a controller. The controller actuates dynamic auto-control of the inlet valve to direct an optimally varying flowrate of the pre-cleaned air from the air filtration element to the HVAC system via the inlet valve to maximize a service life of the air filtration element.

Abstract: A method and an apparatus for processing a multi-cloud service, an electronic device, a storage medium and a system are provided. The method includes acquiring a target multi-cloud scheduling instruction, where the target multi-cloud scheduling instruction includes a multi-cloud scheduling demand and description of schedule-required information; transmitting an application for the schedule-required information to a target user in a trusted environment based on the description of the schedule-required information, to obtain the schedule-required information; generating a scheduling strategy in the trusted environment based on the target multi-cloud scheduling instruction and the schedule-required information; and initiating scheduling to a target cloud vendor based on the scheduling strategy to obtain a scheduling result.

Abstract: A Photonic molecule may include a first ring resonator that is tunable by a first piezoelectric actuator. A Photonic molecule may include a second ring resonator that is tunable by a second piezoelectric actuator, wherein the second ring resonator optically coupled to the first ring resonator. A Photonic molecule may include a third ring resonator that is tunable by a third piezoelectric actuator, wherein the third ring resonator is optically coupled to the first ring resonator and the second ring resonator. A Photonic molecule may include a waveguide optically coupled to the first ring resonator.

Abstract: The present application disclosures a double production line and a rapid prefabrication process of a segmental beam. The double production line including two production machine and a track system provided on the construction ground; the production machine includes a fixed end mold, two side molds, a bottom mold trolley, a middle internal mold trolley and two side internal mold trolley; two side molds are positioned on two sides of the fixed end mold respectively, the fixed end mold and two side molds together define a pouring position with an end opening, two openings of the pouring position are arranged facing each other; the track system includes a transverse track and a longitudinal track communicated with each other, two pouring positions are both positioned in the extension path of the transverse track, and the longitudinal track is positioned between two pouring positions.

Abstract: A method includes providing a library of hardware-agnostic packet-processing functions. A functional hardware-agnostic specification of a packet-processing pipeline, for use in a network device, is received from a user. The specification is defined in terms of one or more of the packet-processing functions draws from the library. A hardware-specific design of the packet-processing pipeline, which is suited to given hardware, is derived from the specification.

Abstract: A method for evaluating a downhole working condition of a PDC bit includes: performing an indoor test, including performing a drilling test in different full-sized cores by using the PDC bit with different degrees of abrasion and balling under condition of given WOB and rotational speed, to acquire change characteristics of a WOB, a rotational speed, a torque, a ROP and a bit vibration of the PDC bit in different time domains; improving and perfecting an existing prediction model and evaluation method for the downhole working condition through data obtained by the test to obtain the method; reading parameters of the WOB, the rotational speed, the torque and the ROP in real time during drilling; determining the downhole working condition of the PDC bit by using the method in the improving and perfecting.

Abstract: The present disclosure provides a video generation method, an apparatus, a system, a device and a storage medium. The method is applied to a video generation system, and the video generation system includes a first client and at least one second client. Specifically, the method includes: firstly, the first client creates a first virtual room and sets a target capturing effect for the first virtual room; then, the second client acquires a first video added with the target capturing effect after receiving a notification message that a current user has successfully joined the first virtual room, and uploads the first video to the first virtual room. Further, the first client acquires a target video from the first virtual room and generates a target result video based on the target video, and the target video includes the first video.

Abstract: An image fusion method based on image and LiDAR point cloud is provided. The method comprises: acquiring a first image and sparse point cloud data, point cloud data in each channel of the sparse point cloud data corresponding to pixels in the first image respectively, and the sparse point cloud data and the first image having space and time synchronicity; obtaining a target gradient value corresponding to at least one target pixel in the first image according to the first image, the target pixel being a non-edge pixel of the first image; up-sampling the sparse point cloud data based on at least one target gradient value to obtain dense point cloud data, the target gradient value being determined according to a corresponding target pixel between adjacent channels of the sparse point cloud data; and obtaining a target fusion image based on the first image and the dense point cloud data.

Abstract: A silicon-and germanium-based molecular sieve has a framework chemical composition as represented by the formula “SiO2.1/nGeO2”. The silicon/germanium molar ratio is 0.1n30. The molecular sieve has a unique X-ray diffraction pattern. It can be used in adsorptive separation, ion exchange, and catalytic conversion of organic compounds.

Abstract: This application disclose an encoding method and apparatus, a decoding method and apparatus, a device, a storage medium, and a computer program, and belong to the field of encoding and decoding technologies. In embodiments of this application, a first whitened spectrum for media data is whitened to obtain a second whitened spectrum, and then encoding is performed based on the second whitened spectrum. A spectral amplitude of the second whitened spectrum in a target frequency band is greater than or equal to a spectral amplitude of the first whitened spectrum in the target frequency band. It can be learned that, in this solution, the spectral amplitude of the first whitened spectrum in the target frequency band is increased, so that a difference between statistical average energy of spectral lines for different frequencies in the obtained second whitened spectrum is small.

Abstract: Disclosed are a method and system for evaluating sonar self-noise at a ship design stage. The method includes: building a ship structure full-scale geometric simulation model; acquiring loss factors and sonar transducer space outfitting acoustic absorption coefficient material parameters; acquiring mechanical excitation, hydrodynamic excitation, and propeller excitation; inputting the loss factors and the sonar transducer space outfitting acoustic absorption coefficient material parameters into an established statistical energy evaluation model, and applying a mechanical excitation to a face plate of foundation of the built ship structure full-scale geometric simulation model, applying a hydrodynamic excitation to the surface of a ship hull, and applying a propeller excitation to a stern shaft to perform calculation of sonar self-noise of a ship to obtain total spectral density level of the sonar self-noise; and evaluating spectral density level calculation results by index requirements.

Abstract: The present disclosure provides a method for processing defect information of a product, which includes the following steps of: acquiring defect information on a current film layer and defect information on historical film layers; determining whether defect information exists at a target location of the historical film layer if defect information exists at a target location of the current film layer; if defect information exists for a corresponding location to the target location in at least one of the historical film layers, deleting the defect information detected at the target location in the current film layer; and if no defect information exists for the target location in any of the historical film layers, retaining the defect information detected at the target location in the current film layer.

Abstract: A method for determining a productivity of a coalbed methane well without shutting down the well includes steps of: obtaining coalbed methane basic data; based on PVT experimental data, determining a relationship table between a pressure and a coalbed methane deviation factor, and a relationship table between the pressure and a pseudo-pressure; recording daily gas production rates, bottomhole flow pressures, and cumulative gas productions at each stabilized flow pressure test moment in at least three different production stages; determining formation pressures corresponding to each stabilized flow pressure test moment based on a material balance equation; according to the formation pressures, the bottomhole flow pressures and the production rates, determining coefficients in a deliverability equation of the coalbed methane well for determining the deliverability equation; substituting the formation pressures and the bottomhole flow pressures into the deliverability equation for obtaining corresponding product

Abstract: This application disclose an encoding method and apparatus, a decoding method and apparatus, a device, a storage medium, and a computer program, and relate to the field of encoding and decoding technologies. In this method, a first latent variable is scaled based on a first variable scale factor, to obtain a second latent variable, and a quantity of coding bits of an entropy coding result of the second latent variable meets a preset encoding rate condition. This ensures that a quantity of coding bits of an entropy coding result of a latent variable corresponding to each frame of media data can meet the preset encoding rate condition, that is, the quantity of coding bits of the entropy coding result of the latent variable corresponding to each frame of media data can be basically consistent, instead of dynamically changing.

Abstract: The invention discloses a biological desulfurizer for removing organic sulfur in fracturing flowback fluid and application thereof. The biological desulfurizer includes a compound with a triazine structure formed by modifying chitosan with aldehydes and inorganic salts. The triazine structure has a good removal effect on hydrogen sulfide and organic sulfur such as mercaptan and sulfide. The biological desulfurizer of the invention has a sulfur capacity of up to 250 g/kg and a desulfurization efficiency of over 95% in 15 min. It can effectively remove the stink of sulfur-containing working water, improve the working environment of the well site, and reduce the impact of sulfur compounds on the atmospheric environment during the development of oil and gas fields.

Abstract: A smart acoustic information recognition-based welded weld impact quality determination method and system, comprising: controlling a tip of an ultrasonic impact gun (1) to perform impact treatment on a welded weld with different treatment pressures, treatment speeds, treatment angles and impact frequencies, obtaining acoustic signals during the impact treatment, calculating feature values of the acoustic signals, and constructing an acoustic signal sample set including various stress conditions; marking the acoustic signal sample set according to impact treatment quality assessment results for the welded weld; establishing a multi-weight neural network model, and using the marked acoustic signal sample set to train the multi-weight neural network model; obtaining feature values of welded weld impact treatment acoustic signals to be determined, inputting the feature values into the trained multi-weight neural network model, and outputting determination results for welded weld impact treatment quality to be det

Abstract: Disclosed are a method and system for evaluating sonar self-noise at a ship design stage. The method includes: building a ship structure full-scale geometric simulation model; acquiring loss factors and sonar transducer space outfitting acoustic absorption coefficient material parameters; acquiring mechanical excitation, hydrodynamic excitation, and propeller excitation; inputting the loss factors and the sonar transducer space outfitting acoustic absorption coefficient material parameters into an established statistical energy evaluation model, and applying a mechanical excitation to a face plate of foundation of the built ship structure full-scale geometric simulation model, applying a hydrodynamic excitation to the surface of a ship hull, and applying a propeller excitation to a stern shaft to perform calculation of sonar self-noise of a ship to obtain total spectral density level of the sonar self-noise; and evaluating spectral density level calculation results by index requirements.

Abstract: Embodiments of the present disclosure relate to projection stabilization systems and maskless lithography systems having projection stabilization systems. The projection stabilization system compensates for propagating vibrations that move image projection systems (IRS's). The IRS's are in a processing positon prior to operation of the maskless lithography process. One or more stiffeners are coupled to the IPS. The one or more stiffeners apply pressure to flexures coupled to each stiffener. The flexures are coupled to the IPS to provide stabilization to the IPS during the operations of the maskless lithography process. For example, the one or more of stiffeners protect the IPS from vibrations that propagate through the system during operation.

Abstract: A method for calibrating a driving risk identification model includes: S1. establishing a vehicle platform by installing an information acquisition device on a test vehicle; S2. acquiring synchronized test data related to the test vehicle and driving scenarios; S3. extracting moments when the drivers start to press the accelerator pedal, start to release the accelerator pedal, start to press the brake pedal in the driving scenarios, and start to release the brake pedal, so as to define risk level values respectively corresponding to the moments; S4. obtaining a risk identification curve of the drivers in different driving scenarios, wherein the risk identification curve represents the drivers' judgment of the risk level over time; S5. using the risk identification curve to calibrate the driving risk identification model.