Abstract: A method for assessing microbial drug resistance multi-level risks of antibiotic residues in water environments, belonging to the technical field of water environment assessment, comprises the following steps: S1, environment monitoring; S2, preliminary screening of antibiotics: S2-1, determination of n-octanol/water partition coefficient, and S2-2, determination of antibiotic environment concentration; S3, assessment of microbial drug resistance; and S4, high-level assessment. The assessment method of the present disclosure conducts a step-by-step assessment of target antibiotics or target antibiotic derivatives in water environment with risks.

Abstract: The present disclosure discloses a method for preparing a continuous fiber-reinforced ceramic matrix composite by flash sintering technology, including: placing a continuous ceramic fiber preform in a mold, adding a nano-ceramic powder, and subjecting the resultant to mechanical oscillation and press forming in sequence to obtain a green body; heating the green body to a preset temperature and applying an electric field with a preset electric field intensity, until occurrence of flash sintering; and converting a power supply from a constant voltage state to a constant current state, holding at the temperature and cooling to obtain the continuous fiber-reinforced ceramic matrix composite.

Abstract: The present disclosure relates to a charging system and a charging method for an automatic force detection robot for a gas pipeline. The charging system includes a primary charging unit disposed outside the gas pipeline and a secondary charging unit disposed in the gas pipeline, wherein the primary charging unit includes a primary magnetic core and a primary coil wound on the primary magnetic core, the secondary charging unit includes a secondary magnetic core and a secondary coil wound on the secondary magnetic core, the primary magnetic core and the secondary magnetic core form a closed magnetic field line, the primary coil is connected to a power supply, and the secondary coil is connected to a battery of the robot.

Abstract: A method for the preparation of a dense HfC(Si)—HfB2 composite ceramic. hafnium oxide powders, nano-sized carbon black and silicon hexaboride powders are mixed in a molar ratio of (1-10):(1-20):(1-5) to obtain a powder mixture. The powder mixture is subjected to ball milling, dried and transferred to a graphite mold for spark plasma sintering. In this way, an in-situ carbon-boron reduction reaction and the sintering densification are completed in one step, and the obtained HfC(Si)—HfB2 composite ceramic has a density of 94.0%-100% and uniformly dispersed grains.

Abstract: The present disclosure relates to a charging system and a charging method for an automatic force detection robot for a gas pipeline. The charging system includes a primary charging unit disposed outside the gas pipeline and a secondary charging unit disposed in the gas pipeline, wherein the primary charging unit includes a primary magnetic core and a primary coil wound on the primary magnetic core, the secondary charging unit includes a secondary magnetic core and a secondary coil wound on the secondary magnetic core, the primary magnetic core and the secondary magnetic core form a closed magnetic field line, the primary coil is connected to a power supply, and the secondary coil is connected to a battery of the robot.

Abstract: A method for the preparation of a dense HfC(Si)—HfB2 composite ceramic. hafnium oxide powders, nano-sized carbon black and silicon hexaboride powders are mixed in a molar ratio of (1-10):(1-20):(1-5) to obtain a powder mixture. The powder mixture is subjected to ball milling, dried and transferred to a graphite mold for spark plasma sintering. In this way, an in-situ carbon-boron reduction reaction and the sintering densification are completed in one step, and the obtained HfC(Si)—HfB2 composite ceramic has a density of 94.0%-100% and uniformly dispersed grains.

Abstract: Disclosed is a recommendation method and apparatus. The recommendation method comprises: identifying at least one core user of a network service provider and a set of users who have demonstrated one or more network-related behaviors with respect to a first predetermined association item; sampling the set of users to identify a set of sample users; calculating a similarity between the sample users to identify a list of similar users; and sending a recommendation of potential users to a network service provider, the recommendation of potential users based on the list of similar users and the at least one core user of a network service provider. Potential users may be efficiently recommended to a network service provider.

Abstract: Disclosed is a recommendation method and device. The method comprises acquiring a user's Internet service sequence, a user preference vector for Internet services, and an attribute vector for Internet services identified in the user's Internet service sequence each of the foregoing based on user network behavior data generated when the user accesses the Internet services; calculating user preference scores for one or more candidate Internet service providers, wherein the user preferences scores are calculated based on the user's Internet service sequence, the user preference vector for the Internet services, the attribute vector for the Internet services, and Internet service lists provided by the candidate Internet service providers; and sending a recommendation of potential users to the candidate Internet service providers based on the user preference scores for the candidate Internet service providers.

Abstract: An objective of the present invention is to provide a method and apparatus for operating a screen of a touch screen device. If a first input operation information of a user matches the input operation information preset for launching a single-handed mode, divide the screen into N (N>1) main zones according to preset configuration information, wherein one main zone is an operating zone, the operating zone being divided into N sub-zones, and the N main zones having a one-to-one correspondence to the N sub-zones; obtain a second input operation information of a user with respect to the operating zone, the second input operation information being for operating a sub-zone therein; determine a main zone corresponding to the sub-zone; and exchange positions of the determined main zone and the operating zone. By using the present invention, the user may perform single-handed operations of all contents within the touch screen, and meanwhile various advantages of a large touch screen are maintained.

Abstract: Disclosed is a recommendation method and apparatus. The recommendation method comprises: identifying at least one core user of a network service provider and a set of users who have demonstrated one or more network-related behaviors with respect to a first predetermined association item; sampling the set of users to identify a set of sample users; calculating a similarity between the sample users to identify a list of similar users; and sending a recommendation of potential users to a network service provider, the recommendation of potential users based on the list of similar users and the at least one core user of a network service provider. Potential users may be efficiently recommended to a network service provider.

Abstract: Disclosed is a recommendation method and device. The method comprises: acquiring a user's Internet service sequence, a user preference vector for Internet services, and an attribute vector for Internet services identified in the user's Internet service sequence wherein the user's Internet service sequence, the user preference vector, and the attribute vector are based on user network behavior data generated when the user accesses the Internet services in a network system; calculating user preference scores for one or more candidate Internet service providers, wherein the user preferences scores are calculated based on the user's Internet service sequence, the user preference vector for the Internet services, the attribute vector for the Internet services, and Internet service lists provided by the candidate Internet service providers; and sending a recommendation of potential users to the candidate Internet service providers based on the user preference scores for the candidate Internet service providers.

Abstract: A wind turbine includes multiple blades, multiple Micro Inertial Measurement Units (MIMUs) for sensing parameter signals of the blades, and a control system. The control system includes a blade bending moment calculation unit, a blade bending moment error signal calculation unit, and a pitch angle compensation command calculation unit. The blade bending moment calculation unit is used for calculating blade bending moment values of the blades based at least on the sensed parameters. The blade bending moment error signal calculation unit is used for calculating blade bending moment error signals of the blades based on the calculated blade bending moment values of the blades and multiple blade bending moment commands. The pitch angle compensation command calculation unit is used for calculating pitch angle compensation commands of the blades based on the calculated blade bending moment error signals to adjust pitch angles of the blades respectively.

Abstract: A method for determining parameters of a wind turbine is disclosed. The method may generally include receiving signals from at least one Micro Inertial Measurement Unit (MIMU) mounted on or within a component of the wind turbine and determining at least one parameter of the wind turbine based on the signals received from the at least one MIMU.

Abstract: A wind turbine includes multiple blades, multiple Micro Inertial Measurement Units (MIMUs) for sensing parameter signals of the blades, and a control system. The control system includes a blade bending moment calculation unit, a blade bending moment error signal calculation unit, and a pitch angle compensation command calculation unit. The blade bending moment calculation unit is used for calculating blade bending moment values of the blades based at least on the sensed parameters. The blade bending moment error signal calculation unit is used for calculating blade bending moment error signals of the blades based on the calculated blade bending moment values of the blades and multiple blade bending moment commands. The pitch angle compensation command calculation unit is used for calculating pitch angle compensation commands of the blades based on the calculated blade bending moment error signals to adjust pitch angles of the blades respectively.