Abstract: A dust removal-sterilization-deodorization integrated intelligent lightweight device for livestock and poultry houses includes: a transparent housing, a photocatalyst slidably connected to an inner wall of the transparent housing, filter sleeves rotatably mounted on the inner wall of the transparent housing, a flow guide cavity defined in the transparent housing, a fan fixedly connected to a left sidewall of the flow guide cavity, and a flow baffle fixedly connected to an air inlet end of the flow guide cavity. The filter sleeve includes a low-resistance melt-blown fabric, a rutile manganese-zinc layer is laid on an outer side of the low-resistance melt-blown fabric, a skeleton fabric is attached to an outer wall of the rutile manganese-zinc layer, and an outer wall of the skeleton fabric is rotatably connected to the inner wall of the transparent housing. At least two filter sleeves are transversely arranged, and the filter sleeves are tubular.

Abstract: A method for parallel processing of retinal images includes: optimizing an objective function with a chaotic supply-demand algorithm to enhance a real retinal image; synthesizing a virtual retinal image by a hybrid image generation method; establishing a parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional neural network model based on the virtual retinal image and the enhanced real retinal image; and integrating outputs from a plurality of parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional neural network models as a final classification result.

Abstract: The present invention discloses a tomato glutaredoxin SIGRXC9 gene and its application. The present invention first identifies the tomato glutaredoxin SIGRXC9 gene, knock out of SIGRXC9 in tomato MT (micro-Tom) by Agrobacterium-mediated method for function identification and obtains a result that SIGRXC9 gene deletion results in tomato hypersensitivity to chilling stress, and reduced plant height, leaf length and width, which further demonstrates that SIGRXC9 plays an important role in controlling development and response to low-temperature stress.

Abstract: The present disclosure provides an siRNA nanocapsule and a preparation method and use thereof, relating to the technical field of biomedical engineering. The siRNA nanocapsule provided in the present disclosure includes siRNA and a shell encapsulating the siRNA and polymerized by a monomer A and a monomer B. The monomer A has a double bond at one end, and is electrostatically bound with the siRNA, and the monomer B includes molecules for improving tumor microenvironment sensitivity. The siRNA nanocapsule provided in the present disclosure is suitable for a wide range of clinical applications.

Abstract: A microbubble counting method for patent foramen ovale (PFO) based on deep learning is provided. The method includes: segmenting a target area of a left heart in an ultrasonic image; and generating a corresponding density map for a segmented target image using a convolutional neural network (CNN), and calculating a total number of the microbubbles in the segmented area by integration and summation. The method has the following beneficial effects: target segmentation is performed on the left atrium and left ventricular area of the heart using the neural network, and effective segmentation of the target area of the left heart is the key of obtaining parameters such as a size and form of the target area. The target area is quantitatively analyzed according to a segmentation result, and the number of the microbubbles in the target area is counted.

Abstract: A method for automatically identifying global solar photovoltaic (PV) panels based on a cloud platform by using remote sensing. Optical images in a study area for a whole specific year are collected based on the cloud platform, and preprocessing is performed to obtain a surface reflectance image. Seven time-series images are derived and constructed based on spectral features of a solar PV panel: a solar PV panel index image, a water index image, a vegetation index image, a difference image between a first shortwave infrared band and a second shortwave infrared band, a difference image between the first shortwave infrared band and a near-infrared band, a blue band image, and a first shortwave infrared band image. Data in the seven time-series images are synthesized and reconstructed to obtain input data required by a model. A remote sensing theoretical model for automatically identifying a solar PV panel is constructed.

Abstract: A method for preparing a zeolite catalyst for catalytic cracking of hydrocarbons to produce propylene is provided, which specifically includes steps of mixing a silicon source, a templating agent, an aluminium source, and a solvent to form a zeolite precursor solution, which is then subjected to hydrothermal crystallization, washing, drying, and calcination to obtain a zeolite precursor; ion-exchanging the zeolite precursor with ammonium ions, followed by drying and calcination; and loading aluminum onto the ion-exchanged zeolite precursor as a carrier via incipient-wetness impregnation by using an aluminium-containing solution, followed by drying and calcination. Zeolite catalysts prepared by the method and use of the catalysts in catalytic cracking of hydrocarbons to produce propylene are also provided.

Abstract: A method for automatically identifying global solar photovoltaic (PV) panels based on a cloud platform by using remote sensing. Optical images in a study area for a whole specific year are collected based on the cloud platform, and preprocessing is performed to obtain a surface reflectance image. Seven time-series images are derived and constructed based on spectral features of a solar PV panel: a solar PV panel index image, a water index image, a vegetation index image, a difference image between a first shortwave infrared band and a second shortwave infrared band, a difference image between the first shortwave infrared band and a near-infrared band, a blue band image, and a first shortwave infrared band image. Data in the seven time-series images are synthesized and reconstructed to obtain input data required by a model. A remote sensing theoretical model for automatically identifying a solar PV panel is constructed.

Abstract: A geotagged video spatial indexing method for video retrieval based on a two-dimensional (2D) temporal grid is disclosed and includes: generating the 2D temporal grid by using the earliest start time, the latest end time of all geotagged video clips and a temporal resolution; calculating row and column number information of each geotagged video clip based on its start time and end time; generating a spatial point for each geotagged video clip based on the row and column number information and obtaining a spatial point set; generating a R-tree spatial index structure corresponding to the spatial point set using a R-tree spatial index method; and locating the corresponding cell in a temporal grid based on retrieval conditions, generating a spatial point based on row and column number information of the grid cell, and finding the spatial point in the R-tree spatial index structure to get the geotagged video corresponding thereto.

Abstract: The disclosure relates to a two-dimensional (2D) bismuth nanocomposite, and a preparation method and use thereof, and belongs to the field of nanobiotechnology. The 2D bismuth nanocomposite of the disclosure is an ultra-thin bismuth nanosheet that is loaded with platinum nanoparticles and modified with indocyanine green (ICG) and surface targeting polypeptide Ang-2. The 2D bismuth nanocomposite Bi@Pt/ICG-Ang2 of the disclosure can not only realize the targeted photothermal and photodynamic combination therapy for tumors, but also realize the dual-mode imaging combining CT and fluorescence imaging.

Abstract: A tungsten-base alloy material and a preparation method therefor. The preparation method comprises: 1) evenly grinding composite powder containing tungsten and zirconium oxide, and then performing annealing treatment at 700-1000° C. to obtain powder A; and 2) grinding and then compression moulding the powder A, and then performing liquid-phase sintering to obtain a tungsten-base alloy blank so as to obtain the tungsten-base alloy material.

Abstract: The present disclosure provides a gene editing nanocapsule and a preparation method and use thereof. The gene editing nanocapsule has a core-shell structure, wherein the inner core includes a Cas/sgRNA ribonucleoprotein complex, and the outer shell includes a polymer, the Cas/sgRNA ribonucleoprotein complex has a gene editing function, and the polymer acts as a carrier for the Cas/sgRNA ribonucleoprotein complex and protects it, because the polymer contains tumor microenvironment sensitive molecules, the nanocapsules can be efficiently released in tumor cells. Further, the surface of the outer shell can be modified with a targeting agent, so that the nanocapsule can specifically target tumor cells, which improves the endocytosis efficiency of the nanocapsule. The gene editing nanocapsule has good biocompatibility and biosafety, and is expected to become a safe and efficient gene therapy drug for tumors.

Abstract: The present disclosure provides a peanut whole-process production line and a method. The peanut whole-process production line includes a peanut cleaning system, a shell breaking system, a skin removing system, a peanut kernel classification system, an ultra-fine pulverization system and a classification packaging system; a first procedure is cleaning and impurity removal of peanuts, breaking of peanut shells is performed after the cleaning and impurity removal of peanuts, removal of peanut kernel skins and ultra-fine pulverization of the peanut shells are respectively performed after the breaking of peanut shells, classification of peanut kernels is performed after the removal of peanut kernel skins, and classification packaging of ultra-fine peanut shell powder is performed after the ultra-fine pulverization of the peanut shells; whole-process processing of peanuts is completed by using the peanut whole-process production line, and peanut resources are fully utilized.

Abstract: An intelligent separation device has gas explosion, stirring, drying and negative pressure adsorption devices. The gas explosion device receives conveyed peanut materials with red coats to be removed, and the materials are subjected to gas explosion, so that the peanut kernels and the peanut red coats are preliminarily separated. The stirring device shifts the preliminarily separated peanut kernels and peanut red coats into the drying device. The drying device compresses and heating external air, transfers heat through hot air, and heats and dries the preliminarily separated peanut kernels and peanut red coats, so that the peanut red coats and the peanut kernels are fully separated. The negative pressure adsorption device collects the fully separated peanut kernels and red coats with different densities and masses in a negative pressure adsorption mode.

Abstract: A non-blinking quantum dot (NBQD) is provided. In a light-emitting diode (LED) prepared with the NBQD, the maximum red brightness is greater than 180,000 cd/m2, the green brightness is greater than 200,000 cd/m2, and the blue brightness is greater than 100,000,000 cd/m2. The red current efficiency is 15-40 cd/A, the green current efficiency is 90-150 cd/A, and the blue current efficiency is 1-20 cd/A. The red external quantum efficiency is 18-30%, the green external quantum efficiency is 18-30%, and the blue external quantum efficiency is 6-22%. When the current efficiency or external quantum efficiency is the highest, the red, green and blue brightness of the LED is 70,000-100,000 cd/m2, 70,000-200,000 cd/m2 and 3,000-40,000 cd/m2, respectively.

Abstract: The present disclosure discloses a medium for primary isolation of Porphyromonas gingivalis, and a method for preparing the medium and use thereof. The medium for primary isolation of Porphyromonas gingivalis includes the following components in parts by weight: 10-20 parts of a mixed peptone, 5-10 parts of a yeast extract powder, 1-5 parts of sodium chloride, 10-15 parts of agar, 0.5-1.0 parts of glucose, 0.2-0.8 parts of sodium bicarbonate, 0.1-0.5 parts of an L-cysteine salt, 0.1-0.5 parts of soluble sodium pyrophosphate, 0.0001-0.0005 parts of hemin, 0.00001-0.00005 parts of vitamin K, 500-1000 parts of water and 5-10 parts of a sterile defiberized sheep blood. By adopting the medium for primary isolation of Porphyromonas gingivalis provided by examples of the present disclosure, a culture period of primary isolation of Porphyromonas gingivalis can be greatly shortened, and the primary isolation of Porphyromonas gingivalis can be quickly conducted.

Abstract: A cloud platform-based garlic crop recognition method by coupling active and passive remote sensing images includes: firstly, obtaining an optical satellite remote sensing image based on phenological characteristics of garlic, and constructing a decision tree model for optical image recognition of the garlic by combining geographic coordinate information of the garlic, so as to obtain an optical distribution diagram of the garlic; secondly, obtaining radar image characteristics of the garlic and winter wheat based on a synthetic aperture radar satellite, and constructing a decision tree model for radar image recognition of the garlic by combining the geographic coordinate information of the garlic, so as to obtain a radar distribution diagram of the garlic; and finally, coupling the optical distribution diagram of the garlic with the radar distribution diagram of the garlic, i.e., selecting an intersection of the two distribution diagrams to complete remote sensing recognition drawing of the garlic.

Abstract: A lubricant, including, by weight: 80-85 parts of a base oil; 1-2 parts of a methyl-silicone oil; 1-2 parts of polymethacrylate; 2-4 parts of pentaerythritol polyisobutylene succinate; 1-2 parts of di-n-butyl phosphite; 2-3 parts of butylhydroxytoluene; 2-4 parts of an ethylene-propylene copolymer; 1-2 parts of an alkenyl succinate; and 3-5 parts of copper nanoparticles. A method of preparing the lubricant includes: adding the base oil, the methyl-silicone oil, the polymethacrylate, the ethylene-propylene copolymer, the butylhydroxytoluene, the alkenyl succinate to a reactor, and stirring a resulting first mixture under normal temperature and pressure at 300-400 rpm for 3-4 hours, to yield a primary product; and adding the di-n-butyl phosphite, the pentaerythritol polyisobutylene succinate, and the copper nanoparticles to the primary product, and stirring a resulting second mixture at 150-250 rpm for 2-2.5 hours.

Abstract: A non-blinking quantum dot (NBQD) is provided. In a light-emitting diode (LED) prepared with the NBQD, the maximum red brightness is greater than 180,000 cd/m2, the green brightness is greater than 200,000 cd/m2, and the blue brightness is greater than 100,000,000 cd/m2. The red current efficiency is 15-40 cd/A, the green current efficiency is 90-150 cd/A, and the blue current efficiency is 1-20 cd/A. The red external quantum efficiency is 18-30%, the green external quantum efficiency is 18-30%, and the blue external quantum efficiency is 6-22%. When the current efficiency or external quantum efficiency is the highest, the red, green and blue brightness of the LED is 70,000-100,000 cd/m2, 70,000-200,000 cd/m2 and 3,000-40,000 cd/m2, respectively.