Abstract: A method includes receiving wireless fingerprint data identifying multiple locations within a specified area and, for each location, one or more signal strength values associated with wireless signals received from one or more of multiple wireless transmitters. The wireless fingerprint data is missing signal strength values for one or more transmitters at one or more specific locations. The method also includes generating a training dataset by adding filler signal strength values in place of at least some missing values. The method further includes training a machine learning model using the training dataset. The model is trained to receive a specified location as input and generate predicted signal strength values as outputs. In addition, the method includes using the trained model to generate additional signal strength values. At least some additional signal strength values are to be used in place of at least a portion of the missing values.

Abstract: Methods of sequencing and producing nucleic acid sequences are provided. Accordingly there are provided methods of sequencing a nucleic acid sequence comprising L-nucleotides comprising subjecting the nucleic acid sequence comprising the L-nucleotides to a chemical sequencing method. Also provided is a method of reverse transcribing a ribose nucleic acid sequence into a deoxyribose nucleic acid sequence comprising catalyzing reverse transcription of the ribose nucleic acid sequence with a Sulfolobus solfataricus P2 DNA polymerase IV (Dpo4).

Abstract: The present invention discloses an intelligent phase control method for laser coherent combination for solving the difficulties of high hardware requirements of traditional methods, low robustness of phase control methods based on deep learning. The method of the present invention is to repeatedly input the diffraction patterns after coherent combination of beams with random phases into a reinforcement learning system to update the parameters of the network inside according to the actions it performs and the rewards it obtains. After updating, the diffraction pattern is input to the network, the network outputs some values and the action corresponding to the largest value is selected and converted into a correction signal to the phase controllers, which adjusts the phase of the beam by voltage to obtain a high output. The method of the present invention can efficiently realize the phase control of the laser with high robustness and real-time performance.

Abstract: The present disclosure relates to the technical field of liquid cooling media. Disclosed are a composition, a liquid cooling agent and applications thereof, and an immersion cooling system. The composition is a perfluoropolyether compound having a structural general formula A-(RCFO)n—(CF2O)m—(CF2)z—B, or a combination of the perfluoropolyether compound and perfluoropolyether diol having a structural general formula HO—CH2—(CF2)q—(RCFO)n—(CF2O)m—(CF2)z—CH2OH. Groups (RCFO) and (CF2O) are randomly distributed. A is a group —F, —CF3, CF3CF2—, CF3—O—, or CF3CF2—O—; B is a group —CF3 or —CF2CF3; RCF is a group —CF2CF2—, —CF2CF2CF2—, or —CF(CF3)CF2—; z is an integer between 0 and 2; n and m are both integers greater than 0; n+m=2-30; n/m=1-30; q is an integer greater than 0. The present disclosure solves the existing problem of poor compatibility between a component of the liquid cooling agent and an electronic device material.

Abstract: An electronic device may be provided to perform collision analysis. The electronic device may be configured to: receive sensor data from an inertial-measuring-unit (IMU) sensor; detect that a collision event has occurred based on the sensor data and detect collision data from the sensor data; input the collision data into a collision classification model that is trained to predict a collision material type and a collision intensity of the collision event; and determine an action to be performed by the electronic device based on the collision material type and the collision intensity of the collision event.

Abstract: A method for processing live broadcast information, an electronic device and a storage medium are provided, and relates to the technical field of information flow. The method includes: in response to detecting a first event before receiving a playing instruction for a first live broadcast room, acquiring a first playing frame of the first live broadcast room during a live broadcast process of the first live broadcast room; generating preloaded first kernel data according to the first playing frame; in response to receiving the playing instruction for the first live broadcast room, pulling a live broadcast video stream of the first live broadcast room according to the first kernel data; and playing the live broadcast video stream of the first live broadcast room. The live broadcast lag can be reduced and the user experience can be improved.

Abstract: A method for detecting a drop event of an electronic device, may include: obtaining an angular velocity and a proper acceleration of the electronic device based on sensor data received from an inertial measurement unit (IMU) sensor of the electronic device; obtaining centripetal acceleration of the electronic device based on the angular velocity, principal moments of inertia of the electronic device, and position of the IMU sensor within the electronic device; based on an acceleration difference between the centripetal acceleration and the proper acceleration, determining whether the electronic device is in a fall state; and based on the electronic device being determined to be in the fall state, providing an analysis result of the drop event.

Abstract: A method includes emitting a sound by a first device. The method also includes receiving a recorded sound at the first device, where the recorded sound includes a recording of the emitted sound by a second device. The method further includes determining an intermediate frequency (IF) signal based on the emitted sound and the recorded sound. The method also includes determining a distance between the first device and the second device based on a frequency of the IF signal and one or more characteristics of the emitted sound. In addition, the method includes presenting the determined distance.

Abstract: A method includes receiving wireless fingerprint data identifying multiple locations within a specified area and, for each location, one or more signal strength values associated with wireless signals received from one or more of multiple wireless transmitters. The wireless fingerprint data is missing signal strength values for one or more transmitters at one or more specific locations. The method also includes generating a training dataset by adding filler signal strength values in place of at least some missing values. The method further includes training a machine learning model using the training dataset. The model is trained to receive a specified location as input and generate predicted signal strength values as outputs. In addition, the method includes using the trained model to generate additional signal strength values. At least some additional signal strength values are to be used in place of at least a portion of the missing values.

Abstract: A method of DNA fragmentation is provided. The method comprising incubating a semi-solid biological sample which comprises the DNA with an auxiliary domain-directed nuclease having a binding affinity and selectivity to pre-defined sites in the DNA so as to yield a DNA fragment-of-interest, to thereby fragment the DNA.

Abstract: A method and a system measure interfering influences on a checkweighing device. In the method, external interference data are obtained, as are interference data from the checkweighing device itself and interference data from an object being weighed, by calculating or mapping the weighing error data in the stationary state, in the operating state, and in the weighing state. The system for measuring the interference uses a meter and a processing apparatus. The meter and the processing apparatus perform an interference measurement and a compensation method. The amount of interference in the checkweighing device in each state and the amount of influence of the interference on the weighing performance is obtained, thereby facilitating the production, debugging, maintenance, and use of a checkweighing device.

Abstract: A method for preparing a high viscosity index poly-?-olefin subjects ?-olefin to a polymerization reaction in the presence of a metallocene catalyst to obtain a poly-?-olefin. The polymerization reaction is carried out in the absence of a solvent, and the metallocene catalyst is formed of, or is formed by interaction between, a metallocene compound and an activator.

Abstract: A metallocene compound having a structure shown by formula (I). A functional group connected to a bridging atom of the metallocene compound is an amine-substituted group and/or a metallocene-substituted group and/or a substituted metallocene group. A metallocene catalyst containing the metallocene compound has high catalytic activity, and can synthesize metallocene polypropylene having high isotacticity.

Abstract: Provided is a method for replicating a mirror nucleic acid, comprising: reacting a mirror nucleic acid template, a mirror nucleic acid primer and mirror dNTPs/rNTPs in the presence of a mirror nucleic acid polymerase, so as to obtain the mirror nucleic acid.

Abstract: Provided is a method for replicating a mirror nucleic acid, comprising: reacting a mirror nucleic acid template, a mirror nucleic acid primer and mirror dNTPs/rNTPs in the presence of a mirror nucleic acid polymerase, so as to obtain the mirror nucleic acid.

Abstract: A method for processing live broadcast information, an electronic device and a storage medium are provided, and relates to the technical field of information flow. The method includes: in response to detecting a first event before receiving a playing instruction for a first live broadcast room, acquiring a first playing frame of the first live broadcast room during a live broadcast process of the first live broadcast room; generating preloaded first kernel data according to the first playing frame; in response to receiving the playing instruction for the first live broadcast room, pulling a live broadcast video stream of the first live broadcast room according to the first kernel data; and playing the live broadcast video stream of the first live broadcast room. The live broadcast lag can be reduced and the user experience can be improved.

Abstract: A method for recognizing a face from monitoring video data is disclosed. Two neural networks are used to compare and score high-dimensional face features of a face, and a K-neighbor algorithm and a screening mechanism with a Euclidean distance as a threshold are combined for face comparison recognition to obtain an accurate face recognition result. In addition, the present disclosure also performs further screening based on the time of video data and the frequency of face appearance, and finally obtains a recognition result, thereby obtaining a more accurate face recognition result. The present disclosure can perform relatively accurate face recognition on video data or picture data captured by a real-time or historical monitoring camera.

Abstract: A method and a system measure interfering influences on a checkweighing device. In the method, external interference data are obtained, as are interference data from the checkweighing device itself and interference data from an object being weighed, by calculating or mapping the weighing error data in the stationary state, in the operating state, and in the weighing state. The system for measuring the interference uses a meter and a processing apparatus. The meter and the processing apparatus perform an interference measurement and a compensation method. The amount of interference in the checkweighing device in each state and the amount of influence of the interference on the weighing performance is obtained, thereby facilitating the production, debugging, maintenance, and use of a checkweighing device.

Abstract: A method for recognizing a face from monitoring video data is disclosed. Two neural networks are used to compare and score high-dimensional face features of a face, and a K-neighbor algorithm and a screening mechanism with a Euclidean distance as a threshold are combined for face comparison recognition to obtain an accurate face recognition result. In addition, the present disclosure also performs further screening based on the time of video data and the frequency of face appearance, and finally obtains a recognition result, thereby obtaining a more accurate face recognition result. The present disclosure can perform relatively accurate face recognition on video data or picture data captured by a real-time or historical monitoring camera.

Abstract: Methods of sequencing and producing nucleic acid sequences are provided. Accordingly there are provided methods of sequencing a nucleic acid sequence comprising L-nucleotides comprising subjecting the nucleic acid sequence comprising the L-nucleotides to a chemical sequencing method. Also provided is a method of reverse transcribing a ribose nucleic acid sequence into a deoxyribose nucleic acid sequence comprising catalyzing reverse transcription of the ribose nucleic acid sequence with a Sulfolobus solfataricus P2 DNA polymerase IV (Dpo4).