Abstract: Non-limiting examples of the present disclosure describe a convolutional neural network (CNN) architecture configured to evaluate conversational relevance of query-response pairs. A CNN model is provided that can include a first branch, a second branch, and multilayer perceptron (MLP) layers. The first branch includes convolutional layers with dynamic pooling to process a query. The second branch includes convolutional layers with dynamic pooling to process candidate responses for the query. The query and the candidate responses are processed in parallel using the CNN model. The MLP layers are configured to rank query-response pairs based on conversational relevance.

Abstract: Compositions and methods relating to regulatable chimeric antigen receptors (RCARs), where the intracellular signaling or proliferation of the RCAR can be controlled to optimize the use of an RCAR-expressing cell to provide an immune response, are provided. For example, a RCAR can comprise a dimerization switch that, upon the presence of a dimerization molecule, can couple an intracellular signaling domain to an extracellular recognition element, e.g., an antigen binding domain, an inhibitory counter ligand binding domain, or costimulatory ECD domain. An RCAR can be engineered to include an appropriate antigen binding domain that is specific to a desired antigen target and used in the treatment of a disease.

Abstract: This application relates to the field of artificial intelligence technologies, and discloses a machine learning model search method, a related apparatus, and a device. In the method, before model search and quantization, a plurality of single bit models are generated based on a to-be-quantized model, and evaluation parameters of layer structures in the plurality of single bit models are obtained. Further, after a candidate model selected from a candidate set is trained and tested, to obtain a target model, a quantization weight of each layer structure in the target model may be determined based on a network structure of the target model and evaluation parameters of all layer structures in the target model, a layer structure with a maximum quantization weight in the target model is quantized, and a model obtained through quantization is added to the candidate set.

Abstract: A method for receiving an audiovisual data set that includes audio and/or visual content, receiving a topical data set that includes an indication of, at least, the plurality of topics and the plurality of subtopics, receiving a time mapping data set that maps each topic and subtopic to an associated time point in the audio and/or visual content, creating a mind map diagram, and presenting the mind map to a user.

Abstract: The present invention discloses a preparation method for the plant-based nano corrosion inhibition bactericide for oilfield, comprising the following steps: Step 1. Prepare the aloin liquid; Step 2. Stir the carbon nanotube, hydroxyethyl methacrylate and acrylic acid to react for 4 h at a constant temperature of 80° C. to get the carbon nanotube after fiber treatment, namely the modified carbon nanotube; Step 3. Mix the aloin liquid with imidazoline-ammonium-salt, add acetonitrile, and then add modified carbon nanotube, increase the temperature to 95° C. stir and react for 12 hours, and filter after naturally cooling down to room temperature and get the carbon nanotube loaded with bactericide; Step 4. Stir the carbon nanotube loaded with bactericide, diphenylmethane diisocyanate and polycaprolactone to react for 6 hours at a constant temperature of 95° C. and in the reaction process, continuously inject helium to get the target bactericide.

Abstract: Embodiments of the present disclosure provide a display panel, a mobile terminal and a method for controlling a mobile terminal which may allow a user to perform single hand operations on a large-size mobile terminal to improve the convenience of the mobile terminal. The display panel includes: a first substrate; a second substrate arranged opposite to the first substrate; and a single hand operation sensing unit arranged on the first substrate or the second substrate, which is configured to sense a single hand holding operation of a user and to trigger the display panel to demagnify an operation graphic interface displayed in full-screen and display the demagnified operation graphic interface in a predetermined single hand operation comfortable region positioned on the basis of a holding position in case that the single hand holding operation of the user is sensed.

Abstract: Compositions and methods relating to regulatable chimeric antigen receptors (RCARs), where the intracellular signaling or proliferation of the RCAR can be controlled to optimize the use of an RCAR-expressing cell to provide an immune response, are provided. For example, a RCAR can comprise a dimerization switch that, upon the presence of a dimerization molecule, can couple an intracellular signaling domain to an extracellular recognition element, e.g., an antigen binding domain, an inhibitory counter ligand binding domain, or costimulatory ECD domain. An RCAR can be engineered to include an appropriate antigen binding domain that is specific to a desired antigen target and used in the treatment of a disease.

Abstract: An example method for calibrating a glucose sensor includes determining, by one or more processors, a set of electrical parameters for the glucose sensor of a plurality of glucose sensors and determining, by the one or more processors, a cluster for the glucose sensor based on the set of electrical parameters. Each cluster of the plurality of clusters identifies respective configuration information. In this example, the method includes configuring, by the one or more processors, the glucose sensor to determine a glucose level of a patient based on configuration information identified by the determined cluster.

Abstract: A quantizer for a sigma-delta modulator, a sigma-delta modulator, and a method of shaping noise are provided. The quantizer includes: an integrator configured to generate, in a Kth sampling period, a quantization error signal for a Kth period according to an internal signal, a quantization error signal for a (K?1)th period, a filtered quantization error signal for the (K?1)th period and a filtered quantization error signal for a (K?2)th period; an integrating capacitor configured to store the quantization error signal for the Kth period, to weight the internal signal in a (K+1)th sampling period; a passive low-pass filter configured to acquire the quantization error signal for the Kth period in a Kth discharge period, and feed back the filtered quantization error signal to the integrator in a (K+1)th sampling period and a (K+2)th sampling period; and a comparator configured to quantize the quantization error signal for the Kth period.

Abstract: A high-temperature and high-pressure equipment and method for microscopic visual sulfur deposit seepage test is provided by the present disclosure, the equipment comprises an injection system, a high-temperature and high-pressure visual kettle, a pressure supply system, a data acquisition and analysis system, a fluid recovery system, and an injection branch pipe; the injection system comprises an ISCo micro-injection pump, an intermediate container, a thermostatic heating oven and a pressure meter; the intermediate container is arranged in the thermostatic heating oven, the ISCo micro-injection pump is connected to the intermediate container; the data acquisition and analysis system comprises a microscope, a high-brightness light source and a computer; the pressure supply system comprises an annular pressure tracking pump, a back pressure pump, a back pressure valve and a pressure gauge; the fluid recovery system comprises a wide neck flask with rubber stopper, a balance, a flowmeter and an exhaust gas absorb

Abstract: A high-temperature and high-pressure equipment and method for microscopic visual sulfur deposit seepage test is provided by the present disclosure, the equipment comprises an injection system, a high-temperature and high-pressure visual kettle, a pressure supply system, a data acquisition and analysis system, a fluid recovery system, and an injection branch pipe; the injection system comprises an ISCo micro-injection pump, an intermediate container, a thermostatic heating oven and a pressure meter; the intermediate container is arranged in the thermostatic heating oven, the ISCo micro-injection pump is connected to the intermediate container; the data acquisition and analysis system comprises a microscope, a high-brightness light source and a computer; the pressure supply system comprises an annular pressure tracking pump, a back pressure pump, a back pressure valve and a pressure gauge; the fluid recovery system comprises a wide neck flask with rubber stopper, a balance, a flowmeter and an exhaust gas absorb

Abstract: The present disclosure provides a terahertz biological detection method and a device comprising the same, in which biological samples with different molecular formulas have their characteristic peaks in the terahertz band. In the process of sweeping frequency with terahertz, when the terahertz frequency point corresponds to the characteristic peak frequency of the substance to be detected, resonant absorption occurs, and the transmitted/reflected terahertz wave electric field intensity will suddenly decrease. In the electromagnetically induced transparency spectrum corresponding to the Rydberg quantum state, the signal splitting amplitude is significantly reduced. Therefore, the characteristic peak frequency and specific content of the substance to be detected can be accurately determined by comparing the dependence of the Rydberg quantum state with the additional terahertz electric field intensity on the excitation energy level.

Abstract: This application discloses a notification display method. The method comprises: when there is a to-be-notified event, displaying, by a terminal, a notification by classification based on a notification type of the notification corresponding to the to-be-notified event; and displaying, by the terminal, in different display modes based on a priority of the notification, wherein the different display modes comprise: displaying in expanded form or displaying in collapsed form in the corresponding display pane, or the different display modes comprise: displaying in a first mode or displaying in a second mode in the corresponding display pane, and content displayed in the first mode is more than content displayed in the second mode.

Abstract: A method, apparatus and device for obtaining a blood glucose measurement result. A neural network model is trained by using the following method, so as to obtain a trained first neural network model: acquiring a first invasive blood glucose measurement result of a tested object (101); forming a group of new training data by means of same and characteristic values of the most recent PPG signals of the tested object (102); training the neural network model with the training data, so as to obtain a trained first neural network model (106); and after a group of new PPG signals is acquired, extracting characteristic values of the new PPG signals, and inputting the characteristic values into the trained first neural network model, so as to obtain a target blood glucose measurement result (107).

Abstract: Described herein is a technique for establishing an overall company-level confidence score based on analyzing data from various data sources. The overall score is derived using a machine learned model that takes as input a set of sub-scores, with each sub-score representing a measure of how frequently a domain name occurs within the same data record as a company name. The model used to combine the several sub-scores is trained using training data that includes a variety of sub-scores for company and domain names that have already been verified to be associated with one another.

Abstract: An attention mechanism-based 12-lead electrocardiogram (ECG) classification method is described, the method including acquiring an original image of a 12-lead ECG, segmenting waveform data recorded in the original image to obtain segmented waveform data for each lead in the 12-lead ECG, performing depth feature extraction on the segmented waveform data of said each lead to obtain a first feature map of said each lead, performing feature transformation on the first feature map of said each lead based on an attention mechanism to obtain a depth feature of said each lead, and classifying the depth feature of said each lead to obtain a classification result for the original image. The classification method can make full use of the 12-lead ECG for overall classification and improve the accuracy of image classification.

Abstract: Disclosed are a testing device and a testing method for adhesive strength of an inner hole coating. A pull rod of the testing device for the adhesive strength of the inner hole coating may apply an axial tension to the inner hole coating via a guide ring and an assisting assembly, and may also apply radial pressure to the inner hole coating via a tapered surface and the assisting assembly. And the press rod may apply a radial tension to the inner hole coating via the pull hook and the assisting assembly. The testing method for the adhesive strength of the inner hole coating adopts the above-mentioned testing device for adhesive strength of an inner hole coating, a tensile adhesive strength test and a shear adhesive strength test may be performed on a same device.

Abstract: A method for establishing an end-to-end network connection includes obtaining, by a first node, super node information from a server, obtaining, by the first node, a network address translation (NAT) type of the first node, obtaining, by the first node, a NAT type of a to-be-connected second node from the server, determining, by the first node based on the NAT type of the first node and the NAT type of the second node, whether to use a relay node, and selecting, by the first node, the relay node from super nodes to establish a connection to the second node.