Abstract: A semiconductor device includes: a first wire bonding area with a first bonding pad, a second wire bonding area with a second bonding pad, and a first bonding wire connecting the first bonding pad to the second bonding pad. The first bonding wire includes a lower pressing section and a first line segment connecting the lower bonding part to the first bonding pad. A distance between the lower pressing section and a plane where the second wire bonding area is located is defined as a first height, which is smaller than 400 ?m, a length of an orthographic projection of the first bonding wire on the plane is defined as a first length, a length of an orthographic projection of the first line segment on the plane is defined as a second length, and the second length is 20%-80% of the first length.

Abstract: The present disclosure relates to a method of identifying regulation violation behavior and an intelligent sensor system of preventing regulation violation. In the present disclosure, dangerous source state information, operator regulation violation behavior information, position and environment identification system information and other information are inputted into the sensor system, processed by a microprocessor and then transmitted to a 5G information converter, then transmitted to a cloud computing center for preventing regulation violation. The center is pre-installed with regulation violation behavior identification and processing software. The software includes a regulation violation behavior identification algorithm. The algorithm can determine types of regulation violation behavior, command an actuator to act, so that an alarm is given, or a dangerous source is cut off.

Abstract: A method and system for credit risk identification. The disclosed embodiments include receiving a loan request to a credit business system from a user; in response to the loan request, obtaining operation data by the user on the credit business system within a period of time before the loan request; performing risk identification on the user using a neuronal network according to the loan request and the operation data to generate a result, and determining a response to the loan request based on the result of the risk identification.

Abstract: The present application relates to a method for preparing trifluridine, comprising reacting a compound of formula III with a compound of formula IV in a first solvent in the presence of an acid to obtain a compound of formula II, and performing further reaction to obtain trifluridine.

Abstract: A method and system for credit risk identification. The disclosed embodiments include receiving a loan request to a credit business system from a user; in response to the loan request, obtaining operation data by the user on the credit business system within a period of time before the loan request; performing risk identification on the user using a neuronal network according to the loan request and the operation data to generate a result, and determining a response to the loan request based on the result of the risk identification.

Abstract: The present application relates to a method for preparing trifluridine, comprising reacting a compound of formula III with a compound of formula IV in a first solvent in the presence of an acid to obtain a compound of formula II, and performing further reaction to obtain trifluridine.

Abstract: The present application relates to a crystal of a compound represented by Formula (I), a salt thereof, and a crystal of the salt thereof, a method for preparing the crystal of the compound represented by Formula (I), the salt thereof, and the crystal of the salt thereof, a crystal comprising the compound represented by Formula (I), a crystal composition comprising the crystal of the salt thereof, a pharmaceutical composition thereof, and medical uses thereof.

Abstract: Training method and apparatus for loan fraud detection model and a computer device are provided, wherein the training method for loan fraud detection model includes: acquiring identity information and user's bank statement information of a plurality of sample users, and fraud label information corresponding to each user; constructing an identity feature vector and a behavior pattern vector according to the identity information; constructing a statement feature vector according to the behavior pattern vector, a second vector transformation matrix and the user's bank statement information; generating a target feature vector according to the behavior pattern vector and the statement feature vector; feeding a target neural network with the target feature vector to acquire a fraud detection result of the target feature vector; and training the target neural network, the first vector transformation matrix and the second vector transformation matrix to obtain a loan fraud detection model.

Abstract: The present application relates a crystal of a compound represented by Formula (I), a salt thereof, and a crystal of the salt thereof, a method for preparing the crystal of the compound represented by Formula (I), the salt thereof, and the crystal of the salt thereof, a crystal comprising the compound represented by Formula (I), a crystal composition comprising the crystal of the salt thereof, a pharmaceutical composition thereof, and medical uses thereof.

Abstract: A pre-cover-opening power-off method, comprising the steps of: (a) fixing a bolt casing to a bolt; (b) connecting a motion sensor to a safety protecting and monitoring unit in a wired or wireless manner; and (c) activating the motion sensor to send out a command to permit power delivery for an electrical equipment to operate, and when the bolt casing is taken off, the motion sensor is activated to send out a command to cut off a power supply for the electrical equipment or give out an alarm.

Abstract: A pre-cover-opening power-off method, comprising the steps of: (a) fixing a bolt casing to a bolt; (b) connecting a motion sensor to a safety protecting and monitoring unit in a wired or wireless manner; and (c) activating the motion sensor to send out a command to permit power delivery for an electrical equipment to operate, and when the bolt casing is taken off, the motion sensor is activated to send out a command to cut off a power supply for the electrical equipment or give out an alarm.

Abstract: A pre-cover-opening power-off method, comprising the steps of: (a) fixing a bolt casing to a bolt; (b) connecting a motion sensor to a safety protecting and monitoring unit in a wired or wireless manner; and (c) activating the motion sensor to send out a command to permit power delivery for an electrical equipment to operate, and when the bolt casing is taken off, the motion sensor is activated to send out a command to cut off a power supply for the electrical equipment or give out an alarm.

Abstract: A pre-cover-opening power-off method, comprising the steps of: (a) fixing a bolt casing to a bolt; (b) connecting a motion sensor to a safety protecting and monitoring unit in a wired or wireless manner; and (c) activating the motion sensor to send out a command to permit power delivery for an electrical equipment to operate, and when the bolt casing is taken off, the motion sensor is activated to send out a command to cut off a power supply for the electrical equipment or give out an alarm.