Abstract: A method for concentrating rubber emulsion and a product prepared by the method are provided, the method includes: a concentrated latex is obtained by separating a superabsorbent resin added in advance into a rubber emulsion with a solid content of 0.01-70% after stirring and concentrating the resin-added rubber emulsion. The method requires simple equipment and consumes less energy, and the prepared polymer emulsion has a solid content up to 76%; the superabsorbent resin adopted herein is reusable after drying, which therefore effectively reduces the production cost; natural latex concentrated by the method has rather high yields of dry rubber and little wastewater production; products prepared from the concentrated natural latex have excellent mechanical property, aging resistance and adhesive property; and concentrating natural latex according to this method does not require advance agglomeration, which reduces the production procedures and improves the production efficiency significantly.

Abstract: The present disclosure relates to a training method and a training system for training a learning network for medical image analysis. The training method includes: acquiring an original training data set for a learning network with a predetermined structure; performing, by a processor, a pre-training on the learning network using the original training data set to obtain a pre-trained learning network; evaluating, by the processor, the pre-trained learning network to determine whether the pre-trained learning network has an evaluation defect; when the pre-trained learning network has the evaluation defect, performing, by the processor, a data augmentation on the original training data set for the existing evaluation defect; and performing, by the processor, a refined training on the pre-trained learning network using a data augmented training data set.

Abstract: A method for concentrating rubber emulsion and a product prepared by the method are provided, the method includes: a concentrated latex is obtained by separating a superabsorbent resin added in advance into a rubber emulsion with a solid content of 0.01-70% after stirring and concentrating the resin-added rubber emulsion. The method requires simple equipment and consumes less energy, and the prepared polymer emulsion has a solid content up to 76%; the superabsorbent resin adopted herein is reusable after drying, which therefore effectively reduces the production cost; natural latex concentrated by the method has rather high yields of dry rubber and little wastewater production; products prepared from the concentrated natural latex have excellent mechanical property, aging resistance and adhesive property; and concentrating natural latex according to this method does not require advance agglomeration, which reduces the production procedures and improves the production efficiency significantly.

Abstract: The present disclosure relates to a medical image analysis method, a medical image analysis device, and a computer-readable storage medium. The medical image analysis method includes receiving a medical image acquired by a medical imaging device; determining a navigation trajectory by performing navigation processing on the medical image based on an analysis requirement, the analysis requirement indicating a disease to be analyzed; extracting an image block set along the navigation trajectory; extracting image features using a first learning network based on the image block set; and determining an analysis result using a second learning network based on the image features and the navigation trajectory.

Abstract: The present disclosure relates to a lignite transient dehydration upgrading and temperature and pressure instant generation device system. Materials are added by a feeding device above the steam dehydration system and enter a feeding area, at the moment, a sealing valve is opened, an internal material platform is pushed forwards in a rotary mode, wet materials enter a dehydration area, and then the sealing valve is closed after dry materials enter. Saturated steam is added into the device by the steam generation system, then the device is adjusted to be in a high-temperature and high-pressure state by the electric control system, and the pressure is continuously stabilized for a certain period of time. The sealing valve is then opened, the dry materials enter a discharging area and then are discharged by a conveying belt, while new wet materials enter the dehydration area accordingly to begin the next round of dehydration.

Abstract: A detection report data generation method including acquiring event type information of an electrocardiogram event corresponding to electrocardiogram event data, wherein the event data has one or more pieces of event type information; screening the event data according to signal quality evaluation indexes so as to obtain report conclusion data and report entry data; carrying out quality assessment on an event segment included in the event data according to the signal quality evaluation indexes, and determining a pre-selected sample segment according to a quality assessment result; determining position information of an event heart beat in the pre-selected sample segment, and determining segment interception parameters; carrying out interception processing on the pre-selected sample segment according to the segment interception parameters so as to obtain a typical data segment; generating report graphic data according to the typical data segment; and outputting the entry data, the graphic data and the conclusi

Abstract: The present disclosure relates to a medical image analysis method, a medical image analysis device, and a computer-readable storage medium. The medical image analysis method includes receiving a medical image acquired by a medical imaging device; determining a navigation trajectory by performing navigation processing on the medical image based on an analysis requirement, the analysis requirement indicating a disease to be analyzed; extracting an image block set along the navigation trajectory; extracting image features using a first learning network based on the image block set; and determining an analysis result using a second learning network based on the image features and the navigation trajectory.

Abstract: Systems, methods, and computer-readable storage media for measuring one-way delay in multi-access networks (MAMS) are provided. Other embodiments may be described and/or claimed.

Abstract: An artificial intelligence self-learning-based static electrocardiography analysis method and apparatus, the method comprising data preprocessing, heartbeat detection, heartbeat classification based on a depth learning method, heartbeat verification, heartbeat waveform feature detection, measurement and analysis of electrocardiography events, and finally automatic output of reporting data, realizing an automated static electrocardiograph analysis method having a complete and rapid flow. The static electrocardiography analysis method can also record modification information of an automatic analysis result, collect modified data, and feed same back to the depth learning model to continue training, thereby continuously making improvements and improving the accuracy of the automatic analysis method.

Abstract: A method and apparatus for determining a neural network architecture of a processor are provided. The method of determining a target neural network architecture, the method comprising obtaining a first neural network architecture, searching for the first neural network architecture based on a loss function, in response to a first search end condition not being satisfied, and determining a target neural network architecture used in a processor, based on a result of the searching, wherein the loss function is based on a processor computation cost.

Abstract: Embodiments of the disclosure provide systems and methods for detecting a medical condition of a subject. The system includes a communication interface configured to receive a sequence of images acquired from the subject by an image acquisition device and an end-to-end multi-task learning model. The end-to-end multi-task learning model includes an encoder, a Convolutional Recurrent Neural Network (ConvRNN), and at least one of a decoder and a classifier. The system further includes at least one processor configured to extract feature maps from the images using the encoder, capture contextual information between adjacent images in the sequence using the ConvRNN, and detect medical condition of the subject using the classifier based on the extracted feature maps of the image slices and the contextual information or segment each image slice using the decoder to obtain a region of interest indicative of the medical condition based on the extracted feature maps.

Abstract: Systems, methods, and computer-readable storage media for measuring one-way delay in multi-access networks (MAMS) are provided. Other embodiments may be described and/or claimed.

Abstract: A handrail assembly, a car and an elevator. The handrail assembly includes a fixing portion and a moving portion, the fixing portion comprises a plurality of first vertical posts arranged in a vertical direction, wherein the first vertical posts are configured to be hollow; the moving portion comprises: a plurality of lifting portions each comprising a plurality of second vertical posts movable into the first vertical posts and horizontal posts attached between the second vertical posts, wherein each lifting portion is configured to move at least between the extended position and the retracted position, the horizontal post is adjacent to the fixing portion when in the retracted position, and the horizontal post is away from the fixing portion when in the extended position; a limiting component to make each lifting portion ascend or descend in sequence in the vertical direction; and a sensing mechanism.

Abstract: Embodiments of the disclosure provide systems and methods for detecting an intracerebral hemorrhage (ICH). The system includes a communication interface configured to receive a sequence of image slices and an end-to-end multi-task learning model. The sequence of image slices is the head scan images of a subject acquired by an image acquisition device. The end-to-end multi-task learning model includes an encoder, a bi-directional Convolutional Recurrent Neural Network (ConvRNN), a decoder, and a classifier. The system further includes at least one processor configured to extract feature maps from each image slice using the encoder, capture contextual information between adjacent image slices using the bi-directional ConvRNN, and detect the ICH of the subject using the classifier based on the extracted feature maps of the image slices and the contextual information or segment each image slice using the decoder to obtain an ICH region based on the extracted feature maps of the image slice.

Abstract: The present disclosure discloses a method and device for removing iron in an iron-containing solution in hydrometallurgy. This method comprises the steps of: adding an iron-containing solution in hydrometallurgy into a reactor through a first homogenizing distributor, controlling concentration of the ferric iron in the reactor below 1 g/L, controlling pH of the solution in the reactor to be 2.5˜4, the temperature to be 65˜100° C., and the reaction duration to be 1˜3 hours, performing solid-liquid separation for the solution after reaction, and removing the iron in the iron-containing solution in hydrometallurgy in the form of goethite.

Abstract: Systems, methods, and computer-readable storage media for measuring one-way delay in multi-access networks (MAMS) are provided. Other embodiments may be described and/or claimed.

Abstract: The invention discloses an apparatus for repairing wheel tread with material increase, which comprises a slide rail, a rack, a case, a supporting device, a drive device, a wheel heating device, an ingot blank heating device and an agitation and output device; the rack is fixedly arranged above the slide rail, an upper end of the case is fixedly connected to an upper portion of the rack, the supporting device and drive device are both slidably connected to the slide rail, an output end of the drive device is fixedly connected to the wheels which are positioned below a semicircular notch and are located eccentrically relative to the semicircular notch. The wheel heating device is fixedly arranged below the case, the ingot blank heating device and the agitation and output device are both fixedly arranged in the case, the ingot blank heating device is communicated with the agitation.

Abstract: Embodiments of the disclosure provide systems and methods for detecting an intracerebral hemorrhage (ICH). The system includes a communication interface configured to receive a sequence of image slices and an end-to-end multi-task learning model. The sequence of image slices is the head scan images of a subject acquired by an image acquisition device. The end-to-end multi-task learning model includes an encoder, a bi-directional Convolutional Recurrent Neural Network (ConvRNN), a decoder, and a classifier. The system further includes at least one processor configured to extract feature maps from each image slice using the encoder, capture contextual information between adjacent image slices using the bi-directional ConvRNN, and detect the ICH of the subject using the classifier based on the extracted feature maps of the image slices and the contextual information or segment each image slice using the decoder to obtain an ICH region based on the extracted feature maps of the image slice.

Abstract: Packet recovery mechanisms for wireless networks, which improve end-to-end (e2e) reliability, are provided. First embodiments include packet retransmission between a receiver and a transmitter, wherein, if the transmitter cannot find a lost packet in its transmission buffer, the transmitter sends a First Sequence Number (FSN) report to the receiver to notify the receiver of a sequence number (SN) of an oldest (acknowledged) packet in the buffer. In response, the receiver does not report lost packets whose SN is older than the FSN. Second embodiments involve using a network coding algorithm to recover lost packets, wherein the transmitter sends a control message to the receiver that includes a coded packet to be recovered and information for decoding the coded packet. Other embodiments may be described and/or claimed.

Abstract: Please replace the Abstract originally filed with the following: A method and device for suppressing range ambiguity and a computer readable storage medium are provided. The method includes: determining a pulse timing relationship of a transmission signal; determining orthogonal nonlinear frequency modulation signals; modulating the transmission signal by using the orthogonal nonlinear frequency modulation signals; transmitting the modulated transmission signal according to the pulse timing relationship, and determining echo data of the modulated transmission signal; and generating an image according to a polarization scattering matrix for the echo data of the modulated transmission signal.