Abstract: A medical endoscope image recognition method is provided. In the method, endoscope images are received from a medical endoscope. The endoscope images are filtered with a neural network, to obtain target endoscope images. Organ information corresponding to the target endoscope images is recognized via the neural network. An imaging type of the target endoscope images is identified according to the corresponding organ information with a classification network. A lesion region in the target endoscope images is localized according to an organ part indicated by the organ information. A lesion category of the lesion region in an image capture mode of the medical endoscope corresponding to the imaging type is identified.

Abstract: Provided are an air purification device (100) and an air conditioner (1000). The air purification device (100) includes a housing (1), a filter module (2), and a plurality of power supply elements (3). The housing (1) has an accommodation cavity (11). The filter module (2) is disposed within the accommodation cavity (11) and has a plurality of electrical connectors (21) provided thereon and arranged at intervals in a first direction. The plurality of power supply elements (3) are arranged at intervals at the housing (1) in the first direction and have a one-to-one correspondence with the plurality of electrical connectors (21). Each of the plurality of power supply elements (3) has a plurality of power supply contacts (31). When the plurality of electrical connectors (21) is in contact with one of the plurality of power supply contacts (31) of each of the plurality of power supply elements (3), the power supply elements (3) is electrically connected to the electrical connectors (21).

Abstract: Disclosed in the present invention is a method for automatically avoiding or mitigating a potential collision of an external moving object with a motor vehicle, the method comprising: detecting whether a potential collision of the motor vehicle with the external moving object exists under a predetermined activation condition; and if it is determined that a potential collision exists, automatically changing a movement characteristic of the motor vehicle without changing a direction currently indicated by a steering wheel when the motor vehicle meets a predetermined movement condition, in order to avoid or mitigate the occurrence of the potential collision. Also disclosed are a corresponding control system for a motor vehicle, a corresponding computer-readable storage medium and a corresponding motor vehicle.

Abstract: Disclosed herein are methods for evaluating a disease or a condition in a subject. More particularly, disclosed herein are methods for determining or diagnosing a disease, methods for classifying a stage of a disease, methods for treating a disease or methods for assessing the efficacy of a therapy for treating a disease based on the measurement and the computational analysis of various disease-specific biomarkers.

Abstract: Disclosed in the present invention is a method for automatically avoiding or mitigating a potential collision of an external moving object with a motor vehicle, the method comprising: detecting whether a potential collision of the motor vehicle with the external moving object exists under a predetermined activation condition; and if it is determined that a potential collision exists, automatically changing a movement characteristic of the motor vehicle without changing a direction currently indicated by a steering wheel when the motor vehicle meets a predetermined movement condition, in order to avoid or mitigate the occurrence of the potential collision. Also disclosed are a corresponding control system for a motor vehicle, a corresponding computer-readable storage medium and a corresponding motor vehicle.

Abstract: The present application discloses a lip-language recognition AAC system based on surface electromyography, which includes: a training subsystem configured to collect the facial and neck EMG signals during lip-language movements through the high-density electrode array, improve the signal quality through the signal preprocessing algorithm, classify the lip-language movements through the classification algorithm, select the optimal number of electrodes and optimal positions through the channel selection algorithm, and establish the optimal matching template between the EMG signals and the lip-language information, and upload it to the network terminal for storage; and a detection subsystem configured to collect the EMG signals at the optimal positions during the lip-language movements based on the optimal number and positions of electrodes selected by the training subsystem, call the optimal matching template, classify and decode the EMG signals, recognize the lip-language information, and convert it into corre

Abstract: A pronunciation function evaluation system based on array high-density surface electromyography, this system includes a host computer and a slave computer, the slave computer is configured to obtain faciocervical electromyography signal through electromyography electrode arrays in a pronunciation process and to transmit the faciocervical electromyography signals to the host computer; the host computer is configured to analyze a physiological relevance between faciocervical array high-density electromyography signal features change and pronunciation function in the pronunciation process, to establish a three-dimensional dynamic energy distribution diagram of faciocervical muscular movement in the pronunciation process, to obtain dynamic visual temporal and spatial characteristic of articulatory muscles related to pronunciation, to extract electromyography features, to establish a faciocervical electromyography feature distribution standard database with normal pronunciation function, and to analyze a dysfuncti

Abstract: A system and method for conducting symbolic partial order reduction for concurrent systems includes determining a guarded independence relation which includes transitions from different threads that are independent for a set of states, when a condition or predicate holds. Partial order reduction is performed using the guarded independence relation to permit automatic pruning of redundant thread interleavings when the guarded independence condition holds.