Abstract: The present disclosure provides an electrochemical method for the separation of zirconium and hafnium, using an electrolytic cell equipped with an anode chamber and a cathode chamber, wherein the anode chamber and the cathode chamber are separated by a liquid alloy. In particular, the liquid alloy comprises a crude zirconium and a matrix metal with the metal activity lower than zirconium. After the electrolysis reaction is started, since the metal activity series in the liquid alloy is: hafnium>zirconium>>matrix metal, the hafnium in the liquid alloy is oxidized prior to the zirconium, the hafnium in ionic form migrates into the cathode electrolyte in the cathode chamber, leading to a continuous decrease of hafnium content in the liquid alloy, whereas the zirconium remains in the liquid alloy. Accordingly, deep separation of zirconium from hafnium is achieved, and therefore, nuclear-grade zirconium products can be prepared.

Abstract: The disclosure belongs to the technical field of heat insulation materials, and discloses an in-situ microfibrillated reinforced polymer composite heat insulation foam material as well as a preparation method and application thereof. This disclosure adopts a polypropylene matrix, a fiber-forming polymer, an elastomer and an antioxidant as a foam material. The foaming material is subjected to a primary melt blending process and a hot stretching process first, then subjected to a secondary melt blending process and cooling granulation and subjected to a pressing process, and a composite board is obtained. The composite board is subjected to supercritical fluid foaming process, and a composite heat insulation foam material is obtained.

Abstract: An autonomous vehicle longitudinal-and-lateral control method for preventing motion sickness is disclosed. Firstly, a vehicle dynamics model is established, and the current vehicle travelling state and road surface information are determined according to the vehicle dynamics model. After the vehicle travelling state and road surface information are acquired, the desired velocity, desired acceleration, and desired wheel turning angle are output according to a driver model for reducing occurrence of motion sickness while ensuring safety and efficiency, to carry out longitudinal-and-lateral control of the vehicle.

Abstract: The disclosure belongs to the technical field of heat insulation materials, and discloses an in-situ microfibrillated reinforced polymer composite heat insulation foam material as well as a preparation method and application thereof. This disclosure adopts a polypropylene matrix, a fiber-forming polymer, an elastomer and an antioxidant as a foam material. The foaming material is subjected to a primary melt blending process and a hot stretching process first, then subjected to a secondary melt blending process and cooling granulation and subjected to a pressing process, and a composite board is obtained. The composite board is subjected to supercritical fluid foaming process, and a composite heat insulation foam material is obtained.

Abstract: The invention discloses a bionic laminated thermal insulation material, which imitates a multi-thin laminated and thin-layer micro-pore structure of Sequoia sempervirens bark with fire resistance, corrosion resistance and excellent thermal insulation performance. A low thermal conductivity microporous powder is used as main raw material, while reinforcing agent, plasticizer and porosity agent are added to form microporous thin-layer units, and each thin-layer unit is bonded and laminated to make a laminated thermal insulation material. The thermal conductivity of the finished products is as low as 0.02˜0.05 W/m·k, with good thermal insulation and mechanical properties, which can be used in a temperature range below 1000° C., with better thermal insulation and energy-saving effect and toughness than ordinary thermal insulation materials, significantly reducing the thickness of the insulation layer, and can be widely used in industrial furnaces, thermal engineering devices, insulation pipes and other fields.

Abstract: Provided is a new-type cis-replicon construct for efficiently expressing a target protein, which comprises an RNA polymerase coding unit and a target protein coding unit. The replicon construct can drive the replication of the target protein coding unit and reduce or avoid the replication and expression of the RNA polymerase, thereby effectively improving the expression of the target protein and reducing the expression of the non-target protein.

Abstract: The disclosure relates to the technical field of new foaming materials, in particular to a preparation method of a microporous foam material with oriented cells, which comprises the following steps: (1) melting and mixing raw materials for preparing a polymer composite material, and then carrying out hot stretching to obtain polymer composite fibers; the raw materials comprise a polymer matrix, a fiber-forming phase substance and a processing aid; (2) arranging the polymer composite fibers prepared in the step (1) in the same direction, and performing hot pressing to obtain a polymer composite board with oriented fibers; and (3) carrying out supercritical fluid foaming on the polymer composite board prepared in the step (2) to obtain the microporous foam material with oriented cells.

Abstract: The present disclosure provides a method for producing value-added by-product yellow phosphorus slag through an unconventional electric furnace process, derived from yellow phosphorus. This method is related to the technical field of comprehensive utilization of mineral resources. The disclosed method involves the following steps: mixing mid-low-grade phosphate rock, silica, coke, and a cosolvent to create a blended material, subjecting the blended material to high-temperature reduction in a yellow phosphorus electric furnace to yield yellow phosphorus and water-quenched slag, and then drying the water-quenched slag using yellow phosphorus tail gas to obtain the yellow phosphorus slag. According to this disclosure, a P2O5—CaO—SiO2—MgO—R multi-component system is established using the blended material.

Abstract: An ultra-high performance concrete (UHPC) with waste brick powder and preparation method and application thereof are provided, which relates to the technical field of concrete. The preparation method includes the following steps: stimulating activity of a brick powder by a method of mechanically stimulating activity to obtain waste brick powder; and preparing UHPC according to a mass ratio of cement to waste brick powder of 5:5-7:3 to obtain the UHPC with waste brick powder. The UHPC is prepared by treating waste bricks from construction waste (mechanically stimulating activity) to make waste brick powder with activity, therefore partially replacing cement. The UHPC is applied in a construction field.

Abstract: The disclosure relates to a synthesis method of long carbon chain semi-aromatic nylon. The synthesis method comprises the following steps: mixing a wet powdery nylon salt, an antioxidant, a catalyst, a surfactant and pellets, and carrying out a one-step solid state polymerization under dynamic mixing to obtain a powdery nylon; under dynamic mixing, enabling the pellets to promote the stirring and mixing of the material and reducing material adhesion to the wall; the one-step solid state polymerization comprises a pre-solid state polymerization and a post-solid state polymerization; in the pre-solid state polymerization, ensuring the nylon salt and the prepolymer not to be molten; in the post-solid state polymerization, gradually reducing the system pressure to vacuum, and keeping the system pressure in vacuum state for at least 1 hour; the temperature of the post-solid state polymerization is not lower than the termination temperature of the pre-solid state polymerization.

Abstract: A vortex beam-excited precision grating displacement measurement apparatus, which performs displacement measurement by taking a vortex beam carrying topological charges as an excitation light source of a grating and by using the interference of a ±m-order diffracted vortex beam. In the vortex beam-excited precision grating displacement measurement method and apparatus, the displacement p/m of the measured displacement corresponds to the rotation of a circle 2? rad of an interference petal pattern, and then the rotation of 1° of the interference petal pattern corresponds to the measured displacement amount of p/360m. Compared with a conventional grating measurement method, the present disclosure provides a grating interference sensing signal that realizes a higher optical subdivision rate itself.

Abstract: A method for preparing large size beta-type ammonium tetramolybdate monocrystal particle includes industrial ammonium molybdate, ammonia, de-ionized water are used to prepare ammonium molybdate solution with concentration of 0.2˜0.6 g/ml; pH is adjusted to 5˜7, temperature is adjusted to the first temperature of 70˜90° C. to obtain the first ammonium molybdate solution; beta-type ammonium tetramolybdate crystal seed is put into crystallization container, and the first ammonium molybdate solution is poured in the crystallization container, to form crystallization system; the crystallization system stands still at room temperature, naturally cooling, the beta-type ammonium tetramolybdate crystal seed grows into large size beta-type ammonium tetramolybdate monocrystal particle. A beta-type ammonium tetramolybdate crystal seed is obtained by constant-temperature crystallization at 70˜90° C.

Abstract: An intelligent identification and warning method for an uncertain object of a production line in a digital twin environment, includes: establishing a model library for uncertain physical objects from a non-production line system; adding attribute data to the uncertain physical objects from the non-production line system; importing an established model library and added attribute data for the uncertain physical objects from the non-production line system into a model library of an existing DT production line system; performing auto-detection on an uncertain physical object entering a production line system; performing auto-detection on an actual size of the uncertain physical object entering the production line system; warning a danger for an unsafe object by means of voice prompting, system alarming and information pushing; matching a corresponding three-dimensional (3D) model in the established model library for a safe object; and loading a matched 3D model to the DT production line system.

Abstract: A material completeness detection method configured to detect whether materials of a target object in a physical production line are complete, includes: inputting an image of the target object in the physical production line into a material completeness detection algorithm to acquire a first detection result; inputting a virtual model of the target object in a virtual production line into the material completeness detection algorithm to acquire a second detection result, where the virtual production line is a DT of the physical production line; and acquiring a material completeness detection result of the target object based on the first detection result and the second detection result. The embodiments of the present disclosure can realize efficient and accurate material completeness detection.

Abstract: A method for a self-adaptive service function chain mapping based on a deep reinforcement learning, comprising: establishing an SFC mapping model, dividing an SFC mapping process into a three-layer structure, and representing the structure with abstract parameters; building an SFCR mapping learning neural network, and mapping the abstract parameters to a state, an action and a reward value in the SFCR mapping learning neural network; establishing an empirical playback pool and updating network parameters; summarizing request rates and utilization rates of different VNFs, a number of currently deployed VNFs and a number of unactivated VNFs based on data in the empirical playback pool; and designing a VNF redeployment strategy, and redeploying the VNFs according to the summarized data. The method has good self-adaptability, and can improve the effective service cost rate and the request mapping rate for processing service requests from users in different time periods.

Abstract: A method for intelligent traffic scheduling based on deep reinforcement learning, comprising: collecting flows in a data center network topology in real time, and dividing the flows into elephant flow or mice flow according to different types of flow features; establishing traffic scheduling models with energy saving and performance of the elephant flow and the mice flow as targets for joint optimization; establishing a DDPG intelligent routing traffic scheduling framework based on CNN improvement, and performing environment interaction; jointly inputting the three state messages as a state set into the CNN for training; setting an action as a comprehensive weight of energy saving and performance of each path under the condition of uniform transmission of flows in time and space, and selecting transmission paths for the elephant flow or the mice flow according to the weight; and designing reward value functions for the elephant flow and the mice flow.

Abstract: A preparation method and a product of a metal-matrix composite reinforced by nanoscale carbon materials are provided, including: plating metal layers on surfaces of the nanoscale carbon materials, and then adding mental particles to perform ball milling for dispersion and sintering. Volumes of the nanoscale carbon materials account for 0.01% to 30% of the metal-matrix composite. Size requirements of the nanoscale carbon materials and the metal particles are that: K×a sum of maximum cross-sectional areas of the nanoscale carbon materials in a unit volume?a sum of surface areas of the mental particles in the unit volume; and the K represent a space compensation coefficient. The method is practical and effective, and the nanoscale carbon materials are efficiently and uniformly dispersed in metallic matrix. The obtained composite further has excellent mechanical, electrical and thermal properties, and is applied in metal-matrix composites, nano-electronic components, and biosensors.

Abstract: The present disclosure disclosed recombinase aided amplification (RAA) primers and kits for the detection of hepatitis c virus. Nucleotide sequences of the RAA primers include: an upstream primer: 5?-FITC-CTTGGGATATGATGATGAACTGGTCACCTAC-3? (SEQ ID NO. 1); and a downstream primer: 5?-Biotin-AAGAGTAGCATCACAATCAGAACCTTAGCC-3? (SEQ ID NO. 2). The HCV detection by using the RAA primers screened by the present disclosure has good specificity and high sensitivity (at least 10 copies/?L can be detected). The RAA primers can be used to prepare an HCV detection kit and construct an RAA amplification system. And combined with a lateral flow chromatography technology, the present disclosure can achieve rapid and low-cost detection of HCV and visual result judgment, no complex professional background is required, the use process is convenient and fast, and the detection results are safe and reliable.

Abstract: A vaccine hesitancy prediction method based on emergency vaccine is provided, including: collecting multi-dimensional variables of initial vaccine hesitancy influencing factors, screening the variables and constructing the model, and using the vaccine hesitancy prediction model to accurately identify high-risk groups of vaccine hesitancy. It can help to find the high-risk population of anti-vaccination, provide guidance for vaccination intervention, provide important technical support for the construction of “immune barrier”, and provide technical enlightenment for the prediction of vaccine hesitancy, which has certain economic and social benefits.

Abstract: The present application discloses a pipeline radar and television inspection robot which includes a robot body, a directional drilling lifting device, a directional drilling rotary device, a directional drilling swing device, a radar, cameras and a driving apparatus; wherein the directional drilling lifting device is on a front part of the robot body; the directional drilling rotary device is on the directional drilling lifting device; the directional drilling swing device is on the directional drilling rotary device; the radar and the cameras are on the directional drilling swing device; the driving apparatus are on a bottom of the robot body. The directional drilling lifting device, the radar and the cameras are plugged in the robot body. The robot body electrically connects to cables which electrically connect to a control system. The cameras and the radar are able to be adjusted and the components are connected as modules.