Abstract: A method for analyzing distribution of tolerances on a freeform surface in an optical system. Establishes a freeform surface imaging optical system. A plurality of fields is selected, and maximum and minimum margins of wavefront errors in each field are defined. One freeform surface in one field is selected, an isolated point jumping model is established, and an isolated point is placed in different areas of the freeform surface of the one field. A local figure error with extreme values corresponding to each field is resolved, based on the maximum and minimum margins of wavefront errors, and the local surface tolerance distributions of the freeform surface in the plurality of fields are integrated together.

Abstract: A sampling probe, an automatic sampling device, and a container detection system are provided. The sampling probe includes: a mounting base; a housing mounted on the mounting base, a first accommodation chamber having an opening being defined in the housing, and an exhaust hole in communication with the first accommodation chamber and outside of the housing being formed in the housing; a coupling portion formed on an outer edge of the opening of the first accommodation chamber and formed to be hermetically coupled with an air outlet of a container; and a suction device mounted on the housing and configured to suck gas in the container into the first accommodation chamber through the air outlet. The sampling probe may collect the odor of toxic and harmful gases/hazardous chemicals inside the container at the air outlet of the container, without destroying the overall structure of the container.

Abstract: An optical artificial neural network intelligent chip, a preparation method thereof and an intelligent processing apparatus. The optical filter layer serves as the input layer of the artificial neural network. The image sensor serves as the linear layer of the artificial neural network. The filtering effect of the optical filter layer on the incident light entering the optical filter layer serves as the connection weight from the input layer to the linear layer, such that the related functions of the input layer and the linear layer in the artificial neural network are achieved by the optical filter layer and the image sensor in the intelligent chip in a hardware manner, and no complicated signal processing and algorithm processing corresponding to the input layer and the linear layer need to be performed in the subsequent artificial neural network intelligent processing using the intelligent chip.

Abstract: A method of designing an freeform surface off-axial three-mirror imaging system is provided. The method includes: establishing an initial system and T (T?2) object-image relationships according to a design goal, and selecting M feature fields for each object-image relationship; using feature rays of the T object-image relationships to construct a freeform surface system by using the initial system; step (S3), the freeform surface system obtained in step (S2) is used as another initial system, using iterative process to reduce a deviation between actual intersection points and ideal target points of the feature rays and feature surfaces, iteratively reconstructing free-form surfaces in the free-form surface system.

Abstract: A method for detecting image information includes: acquiring at least one sample of image pair to be processed; calculating a reconstruction loss function of the second feature extraction model based on the first image samples and the first reconstructed image feature information; calculating an adversarial loss function of the third feature extraction model based on the second reconstructed image feature information and the first image samples; optimizing the first model parameters in the first feature extraction model based on the reconstruction and the adversarial loss function to generate the optimized first feature extraction model; inputting the acquired image pair to be processed into the optimized first feature extraction model to generate the difference information. The method reduces the first feature extraction model's dependence on the labeled data and improves the model's recognition efficiency and accuracy by using the samples without the labeled difference information.

Abstract: The present disclosure provides a method of remotely measuring a size of a pupil, including: acquiring an image of a to-be-measured person by using a detection device; acquiring an image of a pupil of the to-be-measured person from the image of the to-be-measured person; measuring a distance between the to-be-measured person and the detection device by using the detection device; and calculating an actual size of the pupil of the to-be-measured person based on the measured distance and the image of the pupil of the to-be-measured person. The present disclosure further provides an apparatus for remotely measuring a size of a pupil, an electronic device, and a non-transitory computer-readable medium.

Abstract: An image processing method and apparatus and a storage medium, wherein the method particularly includes firstly acquiring an image-to-be-trained sample and a label segmentation image corresponding to the image-to-be-trained sample; inputting the image-to-be-trained sample into an image segmentation model to be trained, obtaining a first image feature of a last one output layer in the image segmentation model and a second image feature of a second last output layer when the image-to-be-trained sample is being extracted by using the image segmentation model, outputting the corresponding segmented-image samples; based on the label segmentation image and the segmented-image samples, calculating the model loss function, optimizing the model parameter, and generating the image segmentation model that has been optimized; and inputting an acquired image to be processed into the image segmentation model that has been optimized, and generating segmented images corresponding to the image to be processed.

Abstract: Methods for reversing one or more mutations in the telomerase (TERT) promoter are provided and may be used to treat a cancer. In some embodiments, programmable base editing (PBE) is used to correct a mutated TERT promoter (e.g., ?124 C>T, ?228C>T, or ?250C>T to ?124 C, ?228C, or ?250C, respectively) by using a single guide (sg) RNA-guided and deactivated Campylobacter jejuni Cas9-fused adenine base editor (CjABE). These methods can be used to treat a cancer, such as for example glioblastoma multiforme (GBM), in a mammalian subject in vivo.

Abstract: In one aspect, the present disclosure provides an integrated microfluidic device for nucleic acid amplification and microarray detection. In one aspect, the device comprises: (1) a microchip configured to process reagents, comprising a plurality of reservoirs, channels, valves, and/or fluid interfaces; (2) an amplification chamber for PCR, carried out in a detachable tube assembled on the microchip through a joint; and (3) a microarray chamber comprising a microarray and a reaction chamber. In some embodiments, these features are interconnected to allow transportation of reagents for nucleic acid amplification and hybridization detection functions in a closed system. In one aspect, the integrate device herein overcomes the problem of contamination during the amplification and hybridization reactions.

Abstract: A takeoff and landing control method of a multimodal air-ground amphibious vehicle includes: receiving dynamic parameters of the multimodal air-ground amphibious vehicle; processing the dynamic parameters by a coupled dynamic model of the multimodal air-ground amphibious vehicle to obtain dynamic control parameters of the multimodal air-ground amphibious vehicle, wherein the coupled dynamic model of the multimodal air-ground amphibious vehicle comprises a motion equation of the multimodal air-ground amphibious vehicle in a touchdown state; and the motion equation of the multimodal air-ground amphibious vehicle in a touchdown state is determined by a two-degree-of-freedom suspension dynamic equation and a six-degree-of-freedom motion equation of the multimodal air-ground amphibious vehicle in the touchdown state; and controlling takeoff and landing of the multimodal air-ground amphibious vehicle according to the dynamic control parameters of the multimodal air-ground amphibious vehicle.

Abstract: The present disclosure provides a method and a device for detecting a fault of a monitoring device. The method includes: obtaining monitoring data at a preset sampling period, wherein the monitoring data comprises monitoring values respectively corresponding to a plurality of sampling points; calculating a monitoring value change rate between each monitoring value and a following monitoring value based on the preset sampling period; performing normalization processing on each monitoring value to obtain a normalized monitoring value corresponding to each monitoring value; determining a first number of monitoring values each having the monitoring value change rate greater than a preset change rate threshold and the normalized monitoring value greater than a preset monitoring value threshold; judging whether the first number is less than a first preset number threshold; and determining that the monitoring device has a fault if no.

Abstract: Disclosed are inhibitors of mevalonate pathway as an efficient vaccine adjuvant and use thereof. In particular, the inhibitor is an acetoacetyl-CoA transferase inhibitor, a HMG-CoA synthase inhibitor, a HMG-CoA reductase inhibitor, a mevalonate kinase inhibitor, a phosphomevalonate kinase inhibitor, a mevalonate-5-pyrophosphate decarboxylase inhibitor, an isopentenyl pyrophosphate isomerase inhibitor, a farnesyl pyrophosphate synthase inhibitor, a geranylgeranyl pyrophosphate synthase inhibitor or a geranylgeranyl transferase (I, II) inhibitor. Also disclosed is an immunogenic composition comprising inhibitors of mevalonate pathway as an adjuvant.

Abstract: The present disclosure relates to a method and a device for judging gas leakage, and an electronic device. The method includes: acquiring methane concentration data collected by monitoring devices, and generating a first function corresponding to the methane concentration data; acquiring a change rule of methane concentration in an inspection well during biogas accumulation, and generating a second function of the methane concentration changing with time; calculating a first correlation coefficient between the first function and the second function, and judging whether the first correlation coefficient is greater than a first preset threshold; acquiring a third function of gas consumption changing with time if no; and calculating a second correlation coefficient between the first function and the third function, judging whether the second correlation coefficient is less than a second preset threshold, and judging whether the gas leakage occurs based on the methane concentration data if no.

Abstract: A method for designing a hybrid surface optical system comprises establishing a first initial system; keeping the first initial system unchanged and calculating a plurality of first feature data points, and fitting the first feature data points to obtain a spherical surface; repeating such steps until all spherical surfaces are obtained; calculating a plurality of second feature data points, and fitting the plurality of second feature data points to obtain an aspheric surface; repeating such steps until all aspheric surfaces are obtained; calculating a plurality of third feature data points, and fitting the plurality of third feature data points to obtain a freeform surface; repeating such steps until all freeform surfaces are obtained.

Abstract: A method, apparatus and storage medium for forecasting air pollutant concentration, including: constructing a training set, a validation set and a test set based on a data set; the data set is obtained by collecting pollutant concentration data and meteorological data in a predetermined length of time in a target area; constructing an adjacent matrix A of a graph structure based on the spatial distribution of monitoring stations in the target area; establishing a neural network model F(x;?|A), where x is the input data of it, including pollutant concentration data and meteorological data within predetermined time period, training the neural network model using the data of the training set, adjusting the parameters ? of the neural network model using the data of the validation set and the data of the test set, and obtaining the modified neural network model; using the modified neural network model for air pollutant concentration forecasting.

Abstract: The disclosure relates to a photocatalytic structure. The photocatalytic structure includes a substrate, a photocatalytic active layer, and a metal layer. The substrate, the photocatalytic active layer, and the metal layer are arranged in succession. The substrate includes a base and a patterned bulge layer on a surface of the base. The patterned bulge layer is a net-like structure comprising a plurality of strip-shaped bulges intersected with each other and a plurality of indents defined by the plurality of strip-shaped bulges. The plurality of strip-shaped bulges is an integrated structure. The photocatalytic active layer is on the surface of the patterned bulge layer. The metal layer includes a plurality of nanoparticles located on the surface of the photocatalytic active layer away from the substrate.

Abstract: An all-weather target detection method based on a vision and millimeter wave fusion includes: simultaneously acquiring continuous image data and point cloud data using two types of sensors of a vehicle-mounted camera and a millimeter wave radar; pre-processing the image data and point cloud data; fusing the pre-processed image data and point cloud data by using a pre-established fusion model, and outputting a fused feature map; and inputting the fused feature map into a YOLOv5 detection network for detection, and outputting a target detection result by non-maximum suppression. The method fully fuses millimeter wave radar echo intensity and distance information with the vehicle-mounted camera images. It analyzes different features of a millimeter wave radar point cloud and fuses the features with image information by using different feature extraction structures and ways, so that the advantages of the two types of sensor data complement each other.

Abstract: Provided is a method for replicating a mirror nucleic acid, comprising: reacting a mirror nucleic acid template, a mirror nucleic acid primer and mirror dNTPs/rNTPs in the presence of a mirror nucleic acid polymerase, so as to obtain the mirror nucleic acid.

Abstract: A method for making a touch panel, the method includes the following steps. Two touch panel units are made. The two touch panel units are spaced apart from each other. Making each of the two touch panel units includes the following steps. A carbon nanotube material and a substrate are provided. A carbon nanotube floccule structure is made by flocculating the carbon nanotube material. A conductive layer on the substrate is obtained by applying the carbon nanotube floccule structure on the substrate. Two electrodes on opposite ends of the substrate formed to obtain an electrode plate.

Abstract: The present invention relates to a freeform surface reflective infrared imaging system comprising a primary mirror, a secondary mirror, a tertiary mirror, and an infrared light detector. Each reflective surface of the primary mirror, the secondary mirror, and the tertiary mirror is an xy polynomial freeform surface. A field of view of the freeform surface reflective infrared imaging system is larger than or equal to 40°×30°. An F-number of the freeform surface reflective infrared imaging system is less than or equal to 1.39.