Abstract: The present invention discloses an adaptive brain-computer interface decoding method based on multi-model dynamic ensemble, where a traditional state-space model is improved, and a set of measurement functions instead of one fixed measurement function are used to dynamically characterize a relationship between observation variables and state variables; and, by using a pool of linear and nonlinear decoders, and in a decoding process of a brain-computer interface system, decoders are automatically switched according to the data, so as to realize adaptive brain signal decoding. Through the above multi-model ensemble strategy, linear and nonlinear decoder capabilities can be integrated, the accuracy and stability of the brain-computer interface system can be improved, and decoding unstability caused by the non-stationary neural signal of the brain-computer interface system can be solved to a certain extent.

Abstract: An obstacle touching detecting device for a swimming pool cleaner includes a main functional portion of the cleaner and a sensor obstacle touching detecting device. The main functional portion of the cleaner includes a cleaner main body, a controller module, and a power-driven actuating device. The controller module and the power-driven actuating device are connected to the cleaner main body. The sensor obstacle touching detecting device includes a trigger unit connected to the cleaner main body and a sensor detecting module electrically connected to the controller module. The controller module is electrically connected to the power-driven actuating device. The trigger unit works collaboratively with the sensor detecting module to trigger the sensor detecting module to generate a detection signal. An automatic detection is performed when the cleaner touches the wall or other obstacles, and the cleaner is controlled to change direction automatically.

Abstract: The present disclosure provides a dimming window and a method for manufacturing the same. The dimming window includes a cell defined by a first substrate and a second substrate, where at least one side edge of the first substrate exceeds an outside of the second substrate, and a part of the first substrate that exceeds the second substrate serves as a single substrate region; a first transparent conductive layer on one side of the first substrate facing the second substrate; a second transparent conductive layer on one side of the second substrate facing the first substrate; and a liquid crystal layer between the first substrate and the second substrate.

Abstract: A method for detecting a texture of Takifugu obscurus, including: (S1) removing internal organs and skin of the Takifugu obscurus followed by washing and drying; and removing a head and cutting a flesh on two sides of the Takifugu obscurus along a spine; (S2) cutting a plurality of cylindrical samples with the same shape and size along both sides of the flesh followed by transfer to a pre-cooled petri dish; allowing a cross section of the samples to cling to the petri dish followed by fixing with a petri dish cover; and storing the petri dish in seal at 0-4° C.; (S3) detecting, by a texture analyzer, a texture of each cylindrical sample; and averaging detection results of the samples as a result of the texture of the Takifugu obscurus.

Abstract: The present invention discloses a brain machine interface decoding method based on spiking neural network, comprising: (1) constructing a liquid state machine model based on a spiking neural network, the liquid state machine model consists of an input layer, an middle layer and an output layer, wherein, a connection weight from the input layer to the middle layer is Whh, a loop connection weight inside the middle layer is Whh, a readout weight from the middle layer to the output layer is Wyh; (2) Inputting a neuron spike train signal, and training each weight with the following strategy: (2-1) Using STDP without supervision to train the connection weight Whh from the input layer to the middle layer; (2-2) Setting the loop connection weight Whh inside the middle layer by means of distance model and random connection, and obtaining a middle layer liquid information R(t); (2-3) Using ridge regression with supervision to train the readout weight Wyh from the middle layer to the output layer, and establishing a ma

Abstract: A portable charging case, including an unlocking assembly and a push rod, user can push the unlocking assembly in the direction towards the storage space after the portable lighting device is fully charged. The push rod then pushes the magnetic charging device away from the portable lighting device so that the magnetic charging device disconnects from the portable lighting device. Users can take the portable lighting device out from the charging case more quickly and easily, thereby enhancing user experience for using the charging case.

Abstract: A controller includes first and second half bridge sense circuits coupled to a half bridge node. The half bridge node is coupled between a high side switch and a low side switch coupled to an input. A rising slew detection circuit is coupled to the first half bridge sense circuit to output a first slew detection signal in response to a rising slew event at the half bridge node. A falling slew detection circuit is coupled to the second half bridge sense circuit to output a second slew detection signal in response to a falling slew event at the half bridge node. A control circuit coupled to output a high side drive signal to the high side switch and a low side drive signal to the low side switch in response to the first slew detection signal, the second slew detection signal, and a feedback signal.

Abstract: The present invention discloses a brain machine interface decoding method based on spiking neural network, comprising: (1) constructing a liquid state machine model based on a spiking neural network, the liquid state machine model consists of an input layer, an middle layer and an output layer, wherein, a connection weight from the input layer to the middle layer is Whh, a loop connection weight inside the middle layer is Whh, a readout weight from the middle layer to the output layer is Wyh; (2) Inputting a neuron spike train signal, and training each weight with the following strategy: (2-1) Using STDP without supervision to train the connection weight Whh from the input layer to the middle layer; (2-2) Setting the loop connection weight Whh inside the middle layer by means of distance model and random connection, and obtaining a middle layer liquid information R(t); (2-3) Using ridge regression with supervision to train the readout weight Wyh from the middle layer to the output layer, and establishing a ma

Abstract: The invention describes fully native human neutralizing monoclonal antibodies against tetanus toxin. The invention developed fully native human neutralizing monoclonal antibodies against tetanus toxin through a systematic high through-put platform that is specialized for identifying and developing human native antibody. The neutralizing monoclonal antibodies described in the invention can be used in the prevention, treatment and detection of Clostridium tetani infection. The fully human neutralizing monoclonal antibodies developed in the invention have a high affinity toward tetanus toxin, as well as possessing high neutralizing activities against the toxin, safe of use with high disease prevention effectiveness, free of exogenous virus contamination, and are widely applicable to various human groups with strong industrial applications.

Abstract: The present invention discloses an adaptive brain-computer interface decoding method based on multi-model dynamic ensemble, where a traditional state-space model is improved, and a set of measurement functions instead of one fixed measurement function are used to dynamically characterize a relationship between observation variables and state variables; and, by using a pool of linear and nonlinear decoders, and in a decoding process of a brain-computer interface system, decoders are automatically switched according to the data, so as to realize adaptive brain signal decoding. Through the above multi-model ensemble strategy, linear and nonlinear decoder capabilities can be integrated, the accuracy and stability of the brain-computer interface system can be improved, and decoding unstability caused by the non-stationary neural signal of the brain-computer interface system can be solved to a certain extent.

Abstract: The present invention relates to neutralizing monoclonal antibodies or antigen-binding fragments thereof that are specific for and bind with high affinity to Varicella-Zoster Virus, and a preparation method for producing such antibodies. The antibodies of the present invention have high efficiency in neutralizing Varicella-Zoster Virus infection. The present invention also relates to the epitope to which the antibodies bind and the use of the antibodies in the diagnosis, prevention and treatment of infected individuals.

Abstract: Disclosed are a monoclonal antibody that is specific to human cytomegalovirus and binds to human cytomegalovirus with a high affinity, or an antigen-binding fragment thereof, and a method for preparing the antibody. The antibody is also highly effective in neutralizing infections. Also disclosed are an epitope to which the antibody binds, and the use of the antibody in the diagnosis, prevention and treatment of an infected individual.

Abstract: Control of a resonant power converter using switch paths during power-up is described herein. During power-up, a first switch path sinks current away from a resonant capacitor while a second switch path sources current to a high-side capacitor. In this way the high-side capacitor may predictably charge to sufficient bootstrap voltage for steady state operation. Additionally, a third switch path may control current to a low-side capacitor.

Abstract: A power converter controller includes a control loop clock generator to generate a switching frequency signal responsive to a burst load threshold, a power signal, and a load signal. A switching frequency of the switching frequency signal is above a resonance range of an energy transfer element. A burst control circuit generates a burst on signal and a burst off signal in response to a feedback signal and a burst enable signal to operate the controller in a plurality of burst modes. A burst frequency of the burst on signal or the burst off signal is less than the resonance range of the energy transfer element. A request transmitter circuit generates a request signal responsive to the switching frequency signal, the burst on signal, and the burst off signal to control switching of a switching circuit.

Abstract: The present disclosure discloses a multi-functional intelligent tunneling apparatus and method for simulating partial excavation of tunnel. The apparatus comprises an operating platform, a multi-functional rotary tunneling system, a precision power propulsion system, an information acquiring and processing system, a digital display control box and a slurry pumping device, wherein, the multi-functional rotary tunneling system includes a plurality of independent operating channels, and can realize multi-functional simulation of a tunnel construction process, including drilling, slurry injecting, and partial excavation under real-time monitoring; under the control of the digital display control box, the precision power propulsion system can realize the fine control of the multi-functional rotary tunneling system by means of hydraulic monitoring and preset advance distance.

Abstract: A real-time monitoring microscopic imaging system for nitride MOCVD (metal organic chemical vapor deposition) epitaxial growth mode includes an observation window, an imaging lens set, a CCD (charge coupled device) camera, an image capture card and an image storage and display device, wherein: the observation window is provided at a top portion of a graphite carrier in an MOCVD reaction chamber and is formed by a thicker quartz glass to prevent temperature in the reaction chamber from damaging the lenses. The microscopic imaging system provided by the present invention has the resolution better than 1 ?m, is able to distinguish the 2D growth mode and the 3D growth mode, observe whether the surface of the epitaxial wafer has screw dislocations in the MOCVD process, so as to observe the growth mode of the MOCVD epitaxial wafer in real time during the growth process.

Abstract: A controller includes first and second half bridge sense circuits coupled to a half bridge node. The half bridge node is coupled between a high side switch and a low side switch coupled to an input. A rising slew detection circuit is coupled to the first half bridge sense circuit to output a first slew detection signal in response to a rising slew event at the half bridge node. A falling slew detection circuit is coupled to the second half bridge sense circuit to output a second slew detection signal in response to a falling slew event at the half bridge node. A control circuit coupled to output a high side drive signal to the high side switch and a low side drive signal to the low side switch in response to the first slew detection signal, the second slew detection signal, and a feedback signal.

Abstract: Disclosed are a panoramic video asymmetrical mapping method and a corresponding inverse mapping method that include mapping a spherical surface corresponding to a panoramic image or video A onto a two-dimensional image or video B, projecting the spherical surface onto an isosceles quadrangular pyramid with a square bottom plane, and further projecting the isosceles quadrangular pyramid onto a planar surface, using isometric projection on a main viewpoint region in the projection and using a relatively high sampling density to ensure that the video quality of the region of the main viewpoint is high, while using a relatively low sample density for non-main viewpoint regions so as to reduce bit rate. The panoramic video asymmetrical inverse mapping technique provides a method for mapping from a planar surface to a spherical surface, and a planar surface video may be mapped back to a spherical surface for rendering and viewing.