Abstract: A method for determining a fugitive emission factor (EF) and a leakage rate of a combustion source. For a combustion source capable of performing stack emission and fugitive emission, an organized EF, a fugitive EF, and a leakage rate of fugitive emission are respectively obtained through calculation based on material balance. The method solves the problem that it is impossible to collect a total amount of smoke and to quantify its volume in a field test and the problem that a conventional carbon mass balance (CMB) method cannot distinguish organized leakage from fugitive leakage. The method can be used not only for determining gas leaked from residential indoor stoves using coal, biomass, etc., but also for determining fugitive emissions from other sources, such as the amount of gas leaked to the surrounding environment through the body of a brick kiln in a brick and tile factory.

Abstract: The present application discloses a method and a system for person re-identification, the method including: inputting a training set to a model-to-be-trained, and determining a single-class label and memory features of each image data in the training set; determining multi-class labels through positive label prediction according to the single-class labels and a memory feature set; determining classification scores according to image features of each image data in the training set and the memory feature set; determining a multi-label classification loss according to the multi-class labels and the classification scores; and updating and training the model-to-be-trained to obtain a re-identification model according to the multi-label classification loss.

Abstract: The present application discloses a method and a system for person re-identification, the method including: inputting a training set to a model-to-be-trained, and determining a single-class label and memory features of each image data in the training set; determining multi-class labels through positive label prediction according to the single-class labels and a memory feature set; determining classification scores according to image features of each image data in the training set and the memory feature set; determining a multi-label classification loss according to the multi-class labels and the classification scores; and updating and training the model-to-be-trained to obtain a re-identification model according to the multi-label classification loss.

Abstract: A metal/?-MoC1-x load-type single-atomic dispersion catalyst, a synthesis method therefor, and applications thereof. The catalyst uses ?-MoC1-x as carrier, and has metal that has the mass fraction ranging from 1-100% and that is dispersed on carrier ?-MoC1-x in the single atom form. The catalyst provided in the present application can be adapted to a wide alcohol/water proportion in hydrogen production based on aqueous-phase reforming of alcohols, outstanding hydrogen production performance can be obtained at a variety of proportions, and catalysis performance of the catalyst is much higher than that of metal loaded with an oxide carrier. Especially when the metal is Pt, catalysis performance of the catalyst provided in the present application in the hydrogen production based on aqueous-phase reforming of alcohols is much higher than that of a Pt/?-MoC1-x load-type catalyst on the ?-MoC1-x carrier on which Pt is disposed on a layer form in the prior art.

Abstract: As disclosed herein, the preS antigen on infectious hepatitis B virus (HBV) particles can provide B and T ceil epitopes that promote the humoral and cellular responses and enhance the seroprotection rate by overcoming non-responsiveness to the S antigen-only vaccines. Therefore, compositions and methods are disclosed using the preS antigen to develop vaccines and immune therapies for treating or preventing hepatitis B infection, in particular, virus-like particles (VLPs) are disclosed that contain the preS antigen on its surface. These VLPs can be used alone or in combination with vaccines containing the hepatitis B surface antigen (HBsAg) to vaccinate subjects against HBV as well as to activate T ceils for adoptive T cell therapy to eradicate HBV infected hapatocytes.

Abstract: An enhanced graph transformation-based point cloud attribute compression method. For point cloud attribute information, a point cloud is first subjected to airspace division by using a K-dimension (KD) tree; a new graph transformation processing method in combination with spectral analysis is provided; the point cloud is then subjected to spectral clustering on graphs in coded blocks of the point cloud; expansion is performed on the basis of existing graph transformation to implement a local graph transformation scheme; enhanced graph transformation with two transformation modes is formed; the compression performance of graph transformation is improved. The method comprises: performing color space transformation of point cloud attributes; dividing the point cloud by using the KD tree to obtain the coded blocks; performing spectral clustering-based enhanced graph transformation; performing transformation mode decision; and performing uniform quantization and entropy coding.

Abstract: An intra-frame prediction-based point cloud attribute compression method. A new block structure-based intra-frame prediction scheme is provided for point cloud attribute information, where four prediction modes are provided to reduce information redundancy among different coding blocks as much as possible and improve point cloud attribute compression performance. The method comprises: performing point cloud attribute color space conversion; dividing a point cloud by using a K-dimensional (KD) tree to obtain coding blocks; performing block structure-based intra-frame prediction; performing intra-frame prediction mode division; performing conversion, uniform quantization, and entropy coding.

Abstract: A bidirectional image-text retrieval method based on a multi-view joint embedding space includes: performing retrieval with reference to a semantic association relationship at a global level and a local level, obtaining the semantic association relationship at the global level and the local level in a frame-sentence view and a region-phrase view, and obtaining semantic association information in a global level subspace of frame and sentence in the frame-sentence view, obtaining semantic association information in a local level subspace of region and phrase in the region-phrase view, processing data by a dual-branch neural network in the two views to obtain an isomorphic feature and embedding the same in a common space, and using a constraint condition to reserve an original semantic relationship of the data during training, and merging the two semantic association relationships using multi-view merging and sorting to obtain a more accurate semantic similarity between data.

Abstract: A dual-gate transistor and its production method are disclosed. An auxiliary gate is connected to the power supply of the integrated circuits, to form thick and high square-shaped potential barrier of minority carriers adjacent to the drain electrode, while the potential barrier is transparent for the majority carriers from the source electrodes. The potential barrier can effectively inhibit reverse minority carrier tunneling from the drain electrode at large drain-source voltage. The transistor can be easily turned on at small drain-source voltage, without significantly decreasing the on-state current. The dual-gate transistor can significantly suppress ambipolar behavior with increased current on/off ratio and reduced power consumption, and maintain the high performance. Based on transistors, strengthened CMOS circuits can have high noise margin, low voltage loss, reduced logic errors, high performance and low power consumption.

Abstract: Disclosed is a deep discriminative network for person re-identification in an image or a video. Concatenation are carried out on different input images on a color channel by constructing a deep discriminative network, and an obtained splicing result is defined as an original difference space of different images. The original difference space is sent into a convolutional network. The network outputs the similarity between two input images by learning difference information in the original difference space, thereby realizing person re-identification. The features of an individual image are not learnt, and concatenation are carried out on input images on a color channel at the beginning, and difference information is learnt on an original space of the images by using a designed network. By introducing an Inception module and embedding the same into a model, the learning ability of a network can be improved, and a better differentiation effect can be achieved.

Abstract: A progressive photon mapping method based on statistical test includes launching rays from the viewpoint to each pixel on the image plane and intersecting the three-dimensional scene to be rendered. If an intersection with diffuse surface is found on the tracing path, it is recorded as the hit point; a photon pass is performed: 31) performing photon tracing step; 32) performing photon collection processing for each hit point; 33) if the current iteration of photon pass does not need chi-square test, then performing flux accumulation and keeping the collection radius unchanged; if chi-square is required, evaluating the photon distribution quality; computing a collection radius according to the estimated photon distribution, and performing the flux accumulation in the current photon pass; 34) if the photon collection radius is reduced, then performing distributed ray tracing, generating new hit points, and go to 31), otherwise go to 31), start a new iteration of photon pass.

Abstract: A method and kit the simultaneous analysis of thyroid hormones (THs) and related metabolites in serum are disclosed. The method includes the extraction of THs and related metabolites, the derivatization of THs and related metabolites with 5-N-succinimidoxy-5-oxopentyl)triphenylphosphonium bromide (SPTPP), and the analysis of SPTPP derivatives using ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Free or total THs (T3 and T4) together with their related metabolites (MIT, DIT, T0, T1, rT1, 3,3?-T2, 3,5-T2, and rT3) can be determined simultaneously, rapidly, and accurately. This invention overcomes the limitation that the traditional method can only be used for the analysis of T3 and T4 with low specificity. The invention exhibits extremely high analytical sensitivity for all of the target analytes (femtogram level).

Abstract: An expression method, a vector and a vector composition are provided. In particular, a method for exogenously expressing a complex biological system in host cells, as well as a vector and a vector composition for the method are provided.

Abstract: A wafer scale ultrasonic sensing device includes a substrate assembly, an ultrasonic component, a first protective layer, a first conductive circuit, a second conductive circuit, a second protective layer, a conductive material, electrical connection layers, and soldering portions. The substrate assembly includes a first wafer and a second wafer, and the second wafer covers a groove on the first wafer to define a hollow chamber. The first wafer, the second wafer, and the first protective layer are coplanar with the first conductive circuit on a first side surface and coplanar with the second conductive circuit on a second side surface. The second protective layer has an opening, where the conductive material is in the opening and is in contact with the ultrasonic component. The electrical connection layers are on the first side surface and the second side surface, and the soldering portions are respectively connected to the electrical connection layers.

Abstract: The present disclosure provides a data search system and a data search method for determining whether there is stored information data matched with query information data in a storage circuit. The data search system comprises a storage circuit, a control circuit, and a feature extraction circuit, wherein the storage circuit comprises at least one storage unit which comprises a memristor crossbar array, a read/write unit, a decoder and a multiplexer, and the feature extraction circuit is configured to extract feature values of the query data. In the data search method, both the data matching process and the data storage process are performed in the memristor crossbar array under the control of the control circuit, which thus largely reduces the amount of data transmission while greatly improving the speed of data search using the characteristics of parallel calculation of the memristor crossbar array.

Abstract: The present disclosure provides a method for analyzing the signal of a neutral atom imaging unit, including: preparing a neutral atom imaging unit, which includes a semiconductor detector array and modulation grids disposed at intervals in front of the semiconductor detector array; preparing a neutral atom source plane, energetic neutral atoms emitted by the neutral atom source plane are received by the semiconductor detector array after passing through the modulation grids, and the modulation grids form a projection on the semiconductor detector array; obtaining a response function of the imaging unit according to the projection; calculating the data signal obtained by the neutral atom imaging unit; and performing inversion imaging on the neutral atom emission source according to the response function of the imaging unit and the data signal. The method well inverts the neutral atom emission source to obtain the intensity and size of the neutral atom emission source.

Abstract: The present disclosure relates to gutta-percha containing carbon nanotubes and a preparation method therefor. The gutta-percha is prepared by mixing a raw material, prepared from the following components of eucommia ulmoide gum, zinc oxide and carbon nanotubes, and extruding the mixed raw material. An orientation factor of the carbon nanotubes in the gutta-percha is greater than 10.8. The preparation method comprises: mixing the components according to dosages, and extruding a mixed product to prepare the gutta-percha containing carbon nanotubes.

Abstract: The present application discloses an application of OsAO gene for improving rice resistance to rice stripe disease, rice black-streaked dwarf disease or other rice or corn virus diseases caused by homologous virus of rice black-streaked dwarf virus. The present application also provides an application of OsAO gene, the protein encoded by the gene or a recombinant vector containing the gene in regulating plant resistance to rice stripe disease, rice black-streaked dwarf disease or other rice and corn virus diseases caused by homologous virus of rice black-streaked dwarf virus, said protein has the amino acid sequence as shown in Seq 4. The experiment proved that the plant disease resistance is increased in rice overexpressing OsAO gene, indicating that the OsAO protein encoded by this gene plays an important role in rice resistance to rice stripe disease and rice black-streaked dwarf disease.

Abstract: Hollow vector support multifunctional protection devices and systems for minimally invasive surgery are disclosed. In an embodiment, a hollow vector support multifunctional protection device includes a protective head, a pitching mechanism for the protective head, an inner cylinder, an axial movement mechanism for the inner cylinder, and a shell. The protective head includes a flap ring, a plurality of first rotating shafts, a plurality of flaps uniformly arranged on the flap ring through the first rotating shafts, and a torsion spring arranged on the first rotating shafts. The torsion spring is configured to provide a force for opening the plurality of flaps along the first rotating shafts, and the first rotating shafts are provided with limiting structures configured to limit a maximum opening degree of the flaps.

Abstract: Disclosed is a method for detecting pedestrians in an image by using Gaussian penalty. Initial pedestrian boundary box is screened using a Gaussian penalty, to improve the pedestrian detection performance, especially sheltered pedestrians in an image. The method includes acquiring a training data set, a test data set and pedestrian labels of a pedestrian detection image; using the training data set for training to obtain a detection model by using a pedestrian detection method, and acquiring initial pedestrian boundary box and confidence degrees and coordinates thereof; performing Gaussian penalty on the confidence degrees of the pedestrian boundary box, to obtain confidence degree of the pedestrian boundary box after the penalty; and obtaining final pedestrian boundary boxes by screening the pedestrian boundary boxes. Thus, repeated boundary boxes of a single pedestrian are removed while reserving boundary boxes of sheltered pedestrians, thereby realizing the detection of the pedestrians in an image.