Abstract: Disclosed are a lithium aluminum hydrotalcite-based solid electrolyte film, a preparation method and use thereof, and a lithium battery including the same. The lithium aluminum hydrotalcite-based solid electrolyte film includes: a solid electrolyte film substrate formed by an organic polymer, and a lithium salt and a lithium aluminum hydrotalcite uniformly dispersed in the solid electrolyte film substrate, wherein the lithium aluminum hydrotalcite has a content of 50 wt % to 80 wt %, based on a total mass of the solid electrolyte film substrate after removal of the lithium salt; and the organic polymer includes one or more selected from the group consisting of polyethylene glycol diacrylate, polyethylene oxide, polypropylene carbonate, and polyvinylidene fluoride-hexafluoropropylene copolymer.

Abstract: A low-energy consumption electrocatalytic method for electrosynthesis of hydrogen peroxide coupled with oxidation upcycling of PET plastics is provided. The method includes ball-milling a waste polyethylene terephthalate (PET) plastic into powder, depolymerizing in alkali solution, and then using the transition metal catalyst and carbon-based material as anode and cathode in the circulating electrolytic cell, under the applied voltage, the cathode undergoes an oxygen reduction reaction to generate hydrogen peroxide, and the anode undergoes an oxidation reaction to upgrade ethylene glycol to formic acid. Products of terephthalic acid and potassium diformate are obtained by adjusting the pH and vacuum distillation of the anode electrolyte. The sodium perborate product or benzoyl peroxide product can be prepared in the cathode electrolyte.

Abstract: A preparation method for Ni and Mn bimetallic electrocatalyst and its application in small molecule electrooxidation are provided. The method includes the following steps: cleaning a matrix to remove a surface oxide layer; dissolving nickel salt, manganese salt, terephthalic acid, salicylic acid, and urea into a mixed solution of ethanol, DMF, and water and transferring to a hydrothermal reaction kettle together with the treated matrix for a hydrothermal reaction; then, obtaining a NiMn-MOF/NF precursor by cooling, cleaning, and drying. Dissolving and stirring sodium borohydride and selenium powder and transferring the above solution to the hydrothermal reaction kettle for hydrothermal selenization reaction with NiMn-MOF/NF; then, obtaining a self-supporting NiMn-MOF-Se catalyst with uniform nanosheet structure by cooling and cleaning. The catalyst synthesis method is simple and controllable, with low cost, uniform catalyst morphology, and good conductivity, it can be directly used as an electrode.

Abstract: Disclosed are a dynamic error measurement apparatus, system, and method for an electricity meter. The measurement apparatus includes a test signal generation unit configured to generate a voltage test signal and two-circuit current test signals, output the voltage test signal to a measurement unit, and output the two-circuit current test signals to the measurement unit and a current summation unit; the measurement unit configured to determine two-circuit electric energy values based on the voltage test signal and the two-circuit current test signals, and output the two-circuit electric energy values to a calculation control unit; the current summation unit configured to determine a combined current signal based on the two-circuit current test signals; and the calculation control unit configured to determine a total electric energy value based on the two-circuit electric energy values. The system includes a standard meter and a measurement apparatus.

Abstract: A deep learning based method for integrating demand forecasting and scheduling of online ride-hailing at a hub is provided. The method includes: S1, performing data processing: performing missing value filling, outlier processing and normalization processing on the historical orders of online ride-hailing and relevant feature data of the urban transportation hub; S2, performing feature screening: primarily screening the relevant features by means of a Pearson correlation test and box plot analysis, calculating an influence degree of data of each feature on the orders of online ride-hailing by using an XGBoost algorithm, and secondarily screening the features; S3, performing model construction: constructing an integrated model for demand forecasting and scheduling decision of online ride-hailing at the urban transportation hub; and S4: performing algorithm design: designing a decision tree and deep learning combination algorithm, and calculating the number of online hailed rides to be scheduled.

Abstract: A deep learning model based method for forecasting online ride-hailing short-term demand is provided. The deep learning model based method includes S1: collecting online ride-hailing demand data in a large transportation hub, and preprocessing original data, to form a data set; S2: performing time series decomposition, specifically, decomposing time series data processed in S1 through a variational modal decomposition (VMD) method, to obtain the certain number of intrinsic mode functions; S3: forecasting a decomposed model by means of a deep learning model Transformer; S4: performing sub-series integration, specifically, accumulating forecast results in S3, to obtain an integrated forecast result; and S5: performing forecast error correction, specifically, correcting a forecast error by using a time series forecast model, that is, an autoregressive integrated moving average model (ARIMA).

Abstract: The present application provides a pneumatic-liquid auto-balance actuator with a large diameter. An intermediate sleeve is interference-sheathed on an outer side wall of a liquid storage tray. An outer side wall of the intermediate sleeve is axially provided with four gas circulation grooves. The bottom of a stator is axially provided with four gas injection channels, which are of unequal depths and are in one-to-one correspondence to the gas circulation grooves. The liquid storage tray comprises four liquid storage cavities uniformly distributed in a circumferential direction. Gas injection pipes are arranged in the liquid storage cavities and are in communication with and connected to the gas circulation grooves. A communication pipe is in communication and connected between the liquid storage cavities which are provided opposite each other.

Abstract: A method for preparing a large-area continuous flexible free-standing electrode is provided. The method includes: mixing a reduced graphene oxide, porous carbon particles and a solvent, and dispersing the resulting mixture to obtain a mixed slurry; coating the mixed slurry onto a hydrophobic substrate, and drying, to prepare the large-area continuous flexible free-standing electrode.

Abstract: The present application provides a continuous preparation system and method for vinylidene chloride. In the present application, by coupling two stages of high gravity reactors, the product vinylidene chloride and water vapor are distilled from a reaction system in form of an azeotrope by adopting a water vapor steam stripping method, and the product obtained using the method has high purity. In addition, by combining steam stripping and high gravity, trichloroethane and alkali solution are rapidly mixed for mass transfer, and the product vinylidene chloride is rapidly distilled from the reaction system in form of the azeotrope (based on rapid diffusion of water vapor), such that the reaction proceeds continuously towards the direction of producing vinylidene chloride, thus significantly improving the conversion rate.

Abstract: The present disclosure relates to a pharmaceutical composition for improving and treating leukotrichia and/or alopecia and a preparation method thereof. In the present disclosure, the pharmaceutical composition includes glucoraphanin and myrosinase as active ingredients, where the glucoraphanin has a content of 0.1% to 50% and the myrosinase has a total enzyme activity of 0.1 mU to 10 U based on a total weight of the pharmaceutical composition. The pharmaceutical composition shows safety, rapidity, effective improvement and treatment of leukotrichia and/or alopecia, and wide application range for subjects.

Abstract: A routing optimization method for truck-drone integrated rescue vehicles in forest firefighting includes the following steps: collecting the data of the disaster sites caused by forest fires, calculating transportation time on road and flight time according to the data of the disaster sites, and getting the transportation time data of post-disaster relief; based on the disaster site data, transportation time data, and an amount of relief supplies that can be allocated to disaster relief sites, constructing a mathematical model of the truck-drone based vehicle routing problem; solving the mathematical model of the truck-drone based vehicle routing problem by the optimization algorithm, and specifying a post-disaster rescue route of the truck-drone integrated rescue vehicle according to the solution results. The model based on the truck-drone based vehicle routing problem method can reduce the impact of sudden natural disasters, and give full play to the advantages of truck-drone integrated rescue vehicles.

Abstract: The present disclosure provides a composite hydrophilic membrane electrode, a membrane capacitor cell, a preparation method and use thereof. The method for preparing the composite hydrophilic membrane electrode includes: mixing Li2CO3 with TiO2 evenly to obtain a mixture, and baking the mixture to obtain a Li2TiO3 precursor; mixing the Li2TiO3 precursor with graphene oxide evenly to obtain a Li2TiO3/graphene oxide composite material; calcining the Li2TiO3/graphene oxide composite material to obtain a Li2TiO3/reduced graphene oxide composite material; modifying the Li2TiO3/reduced graphene oxide composite material with tannic acid to obtain a modified active electrode material; and mixing the modified active electrode material with a solvent to obtain an active electrode slurry, applying the active electrode slurry onto a titanium plate, and baking the active electrode slurry to obtain the composite hydrophilic membrane electrode.

Abstract: A system and method for preparing epoxy chloropropane is provided in that by coupling three stages of high gravity reactors, the product epoxy chloropropane and water vapor are distilled from a reaction system in form of an azeotrope by adopting a water vapor steam stripping method. Further, by combining the azeotrope with the multiples stages of high gravity reactors, the gas phase mass transfer and the liquid phase mass transfer of the azeotrope are improved aiming at the features of the azeotrope in the reaction system, thus making the overall conversion rate higher. In addition, by combining steam stripping and high gravity, dichloropropanol and alkali solution are rapidly mixed for mass transfer, and the product epoxy chloropropane is rapidly distilled from the reaction system in the form of the azeotrope, such that the reaction proceeds continuously towards the direction of producing epoxy chloropropane, thus significantly improving the conversion rate.

Abstract: The present application provides a high-gravity device for generating nano/micron bubble and a reaction system. In the device, the liquid phase is continuous phase and the gas phase is dispersed phase. A gas enters the interior of the device from a hollow shaft, and the gas is subjected to primary shearing under a shearing effect of aerating micropores to form bubbles; then, the bubbles rapidly disengage from the surface of a rotating shaft under the effect of the rotating shaft rotating at a high speed, and are subjected to secondary shearing under the high-gravity environment with the strong shearing force formed by the rotating shaft to form nano/micron bubbles. The device has the advantages of fastness, stability, and small average particle size. The average particle size of the formed nano/micron bubbles is between 800 nanometers and 50 microns, and the average particle size of the bubbles can be regulated in a range by adjusting the rotating speed of the rotating shaft.

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: A reaction apparatus used for a continuous reaction process for the preparation of trifluoroethane includes a housing, a rotary cutting component, a submersible pump and a flow deflector. The flow deflector includes two sets of flow-deflecting plates, each set of said flow-deflecting plates including a plurality of flow-deflecting plates. Two sets of flow-deflecting plates are fixed to each of the two opposing side walls, and the two adjacent flow-deflecting plates are in offset alignment. The submersible pump is arranged inside the reaction chamber body. A liquid inlet line can connect a directly to the submersible pump without requiring the arrangement of an additional pipeline.

Abstract: A moving object tracking approach for a quadrupedal robot based on a Siamese network comprises an RNN-based object detector for locating moving objects. The position information of moving objects is sent into a ResNet-based feature extractor. For regressing bounding boxes of a target object, a Siamese adaptive network is employed. Experimental results on several public benchmarks show that this approach achieves excellent VOT performances, e.g., it obtains EAO score by 0.452 points, Accuracy score by 0.592 points, and Robustness score by 0.155 points on public benchmark VOT2018. it is successfully used on a quadrupedal robot, which can accurately track a specific moving object in real-world complicated scenes.

Abstract: A preparation method of itaconate-butadiene bio-based engineering rubber belongs to the bio-based engineering rubber area. The bio-based engineering rubber of the present disclosure is formed through chemical crosslinking of copolymers, which are formed by polymerization of itaconate and butadiene emulsion. The number average molecular weight of the itaconate-butadiene copolymer is about 53000-1640000, and weight-average molecular weight is about 110000-2892000. Itaconate-butadiene copolymers are formed by polymerization of itaconate and butadiene emulsion, then and chemical crosslinking of the copolymer is performed to form bio-based engineering rubber using a traditional sulfur vulcanizing system. The bio-based engineering rubber has high molecular weights as well as lower glass-transition temperatures and can be vulcanized using the traditional sulfur vulcanizing system.

Abstract: The present disclosure relates to an adhesive comprising at least one of the following copolymer A: the copolymer A has at least one repeating unit carrying an amide group and a carboxyl and/or its ammonium salt and at least one other repeating unit different from the one carrying an amide group and a carboxyl and/or its ammonium salt. The present disclosure also relates to an artificial board formed of a lignocellulose material and the adhesive and a method for manufacturing the artificial board.

Abstract: The present disclosure relates to an adhesive comprising at least one of the following copolymer A: the copolymer A has at least one repeating unit carrying an amide group and a carboxyl and/or its ammonium salt and at least one other repeating unit different from the one carrying an amide group and a carboxyl and/or its ammonium salt. The present disclosure also relates to an artificial board formed of a lignocellulose material and the adhesive and a method for manufacturing the artificial board.