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: Provided is a method for solving radar ambiguity and occlusion based on an orthogonal two-phase coded signal. The method includes: generating and optimizing an orthogonal two-phase coded signal set by means of a walsh matrix and a genetic algorithm, and alternatively, obtaining an orthogonal two-phase coded signal set through an exhaustive method, depending on a chip length; determining the radar period and the number m of transmission pulses in a period according to the radar farthest detection range and the pulse repetition interval (PRI), and selecting m signals from the orthogonal two-phase coded signal set, to constitute a group of orthogonal two-phase coded pulse signals; and accumulating echoes of transmitted pulse signals, to generate an echo matrix, performing frequency domain pulse compression, to obtain a processed new matrix, and performing moving target detection on the matrix.

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: A light-splitting reflection high-concentration photovoltaic photothermal integrated cavity receiver includes a photothermal assembly and a photovoltaic assembly. The photothermal assembly includes a high-temperature heat storage system, a low-temperature heat storage system, a plurality of heat exchange tube bundles defining a reflective cavity, and an ultraviolet and visible light reflective film arranged on an inner surface of the reflective cavity. The plurality of heat exchange tube bundles are communicated to form a heat collection circuit, and the heat collection circuit has an input end connected with the low-temperature heat storage system, and an output end connected with the high-temperature heat storage system. The photovoltaic assembly is arranged at a focus of the reflective cavity, and includes a near-infrared reflective film, a high concentration photovoltaic integrated receiver and a concentration photovoltaic cooler stacked sequentially along an incident direction of light.

Abstract: This application discloses a text mining method based on artificial intelligence performed by a computer device. This application includes: obtaining domain candidate term features corresponding to domain candidate terms; obtaining term quality scores corresponding to the domain candidate terms according to the domain candidate term features; determining a new term from the domain candidate terms according to the term quality scores corresponding to the domain candidate terms; obtaining an associated text according to the new term; and determining a domain seed term as a domain new term in response to determining according to the associated text that the domain seed term satisfies a domain new term mining condition. By this application, new terms can be automatically selected from domain candidate terms based on a machine learning algorithm, thereby reducing manpower costs and well adapting to the rapid emergence of special new terms in the Internet era.

Abstract: The present invention discloses a glass material, and a preparation method and a product thereof. The glass material contains a lithium salt crystalline phase and a phosphate crystalline phase. For the entire material, the crystallinity is 40-95%, the lithium salt crystalline phase accounts for 40-90 wt % of the entire material, and the phosphate crystalline phase accounts for 2-15 wt % of the entire material, wherein the lithium salt crystalline phase is one or more of lithium silicate, lithium disilicate and petalite, and the phosphate crystalline phase is aluminum phosphate or/and aluminum metaphosphate. After the glass material of the present invention is toughened, the Vickers hardness (Hv) is 900 kgf/mm2 or above. The glass material or a substrate of the present invention is suitable for protective members such as mobile terminal equipment and optical equipment and has high hardness and strength.

Abstract: This disclosure relates to a method and an apparatus for mapping wireless hotspots and points of interest (POIs), a computer-readable storage medium, and a computer device. The method includes: obtaining sniffing records, each of the sniffing records including data of wireless hotspots sniffed by sniffing devices; determining sniffing device overlap degrees between the wireless hotspots according to the sniffing records; determining, according to distances between the wireless hotspots and POIs, initial mapping probabilities between the wireless hotspots and the POIs; performing iterative propagation among the initial mapping probabilities based on the sniffing device overlap degrees, and obtaining target mapping probabilities between the wireless hotspots and the POIs when the iteration ends; and establishing a mapping between the wireless hotspots and the POIs according to the target mapping probabilities.

Abstract: A method for detecting node types in a directed network is provided. In the method, flow direction feature information of data traffic between network nodes in the directed network is acquired. The flow direction feature information includes a directed graph of nodes representing the network nodes. Layer scores of the nodes in the directed graph are determined based on whether the directed graph includes a directed cycle. The node types of the network nodes represented by the nodes in the directed network are determined according to the layer scores of the nodes.

Abstract: A method for data identification includes determining a target user set from a plurality of users, the target user set comprising at least two users having a first social relationship, wherein a first closeness of the first social relationship among the at least two users in the target user set is higher than a second closeness of a second social relationship between users in the target user set and a user not in the target user set, acquiring a default abnormal user and determining abnormal users in the target user set based on the default abnormal user, determining the status of the target user set based on the abnormal users, and identifying a diffusion-abnormal user from to-be-confirmed users based on social relationships between abnormal users and the to-be-confirmed users in the target user set based on the status of the target user set being abnormal.

Abstract: A method includes: acquiring user characteristic data of a first user and user characteristic data of at least two second users, each of the at least two second users having a social relationship with the first user; clustering the at least two second users to obtain at least two user sets, a similarity between the user characteristic data of any two second users in each user set satisfying a similarity condition; determining first key user characteristic data corresponding to the each user set according to the user characteristic data of the second users in the each user set; and generating a user profile of the first user according to the first key user characteristic data corresponding to the each user set and the user characteristic data of the first user.

Abstract: This disclosure relates to a method for matching a wireless hotspot and a point of interest. The method may include performing semantic normalization preprocessing on a wireless hotspot name and a point of interest name respectively. The method may further include determining a first similarity between the preprocessed wireless hotspot name and the preprocessed point of interest name according to a matching result of consecutive common strings of the preprocessed wireless hotspot name and the preprocessed point of interest name. The method may further include determining a second similarity between the preprocessed wireless hotspot name and the preprocessed point of interest name according to a length difference between lengths of the preprocessed wireless hotspot name and the preprocessed point of interest name. The method may further include determining a matching result of the wireless hotspot and the point of interest according to the first similarity or the second similarity.

Abstract: A method for analyzing stable isotopes of particulate organic carbon (POC) and nitrogen in seawater using elemental analysis-isotope ratio mass spectrometry (EA-IRMS), including: using a glass fiber filter membrane to filter a collected water sample and then filter 100 ml of distilled water; subjecting a resulting membrane sample to acidification; and subjecting an acidified membrane sample to EA-IRMS analysis on a machine, where an oxygen addition time is set to 80 s and a combustion tube temperature is set to 700° C. for an elemental analyzer, and a trap current is set to 300 ?A to 400 ?A for an isotope ratio mass spectrometer. The method of the present disclosure can reduce a detection cost and improve the data accuracy and work efficiency.

Abstract: A method for analyzing stable isotopes of particulate organic carbon (POC) and nitrogen in seawater using elemental analysis-isotope ratio mass spectrometry (EA-IRMS), including: using a glass fiber filter membrane to filter a collected water sample and then filter 100 ml of distilled water; subjecting a resulting membrane sample to acidification; and subjecting an acidified membrane sample to EA-IRMS analysis on a machine, where an oxygen addition time is set to 80 s and a combustion tube temperature is set to 700° C. for an elemental analyzer, and a trap current is set to 300 ?A to 400 ?A for an isotope ratio mass spectrometer. The method of the present disclosure can reduce a detection cost and improve the data accuracy and work efficiency.

Abstract: Provided are a Cas effector protein, a fusion protein containing said protein, and a nucleic acid molecule coding same. Also provided are a complex and a composition for nucleic acid editing, for example, a complex and a composition for gene or genome editing, containing the Cas effector protein or the fusion protein, or the nucleic acid molecule encoding same. Also provided is a method for nucleic acid editing, for example, a method for gene or genome editing, using the Cas effector protein or the fusion protein.

Abstract: A matching method for multiple reaction chambers includes selecting at least one factor, setting an adjustment coefficient for the factor corresponding to each of the reaction chambers, and obtaining an input value of the factor to enter into each reaction chamber based on the target value of the factor and the adjustment coefficient corresponding to each of the reaction chambers. The processing factor has a target value and a real value corresponding to each of the reaction chamber. The adjustment coefficient is based on the real value and the target value of the factor being within a preset accuracy range when the corresponding chamber operates a process.

Abstract: A method and an apparatus are provided. Distribution information in a first attribute dimension is acquired from a persona data collection of users who use a network service. The persona data collection includes persona data sets corresponding to the users. An evaluation data collection to match the distribution information in the first attribute dimension is extracted from a sample data collection that is collected from sample users. The sample data collection includes sample data sets corresponding to the sample users. Further, a level of accuracy of the persona data collection in a second attribute dimension is determined based on the evaluation data collection in the second attribute dimension.

Abstract: A matching method for multiple reaction chambers includes selecting at least one factor, setting an adjustment coefficient for the factor corresponding to each of the reaction chambers, and obtaining an input value of the factor to enter into each reaction chamber based on the target value of the factor and the adjustment coefficient corresponding to each of the reaction chambers. The processing factor has a target value and a real value corresponding to each of the reaction chamber. The adjustment coefficient is based on the real value and the target value of the factor being within a preset accuracy range when the corresponding chamber operates a process.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for generating information. The method for generating information includes: acquiring original data and tag data corresponding to the original data; encoding the original data and the tag data using a plurality of encoding algorithms to obtain a multi-dimensional feature encoding sequence; pre-training a machine learning model using the multi-dimensional feature encoding sequence; and determining a multi-dimensional feature encoding for training the machine learning model corresponding to the original data, based on evaluation data for the pre-trained machine learning model.

Abstract: A method and an apparatus are provided. Distribution information in a first attribute dimension is acquired from a persona data collection of users who use a network service. The persona data collection includes persona data sets corresponding to the users. An evaluation data collection to match the distribution information in the first attribute dimension is extracted from a sample data collection that is collected from sample users. The sample data collection includes sample data sets corresponding to the sample users. Further, a level of accuracy of the persona data collection in a second attribute dimension is determined based on the evaluation data collection in the second attribute dimension.

Abstract: A vehicle includes a spare wheel, a jack and a jack wrench. The jack and a jack wrench are provided to raise the vehicle to allow a user to remove a damaged wheel and replace it with the spare wheel. The jack and jack wrench are secured to the vehicle via a first connector. The spare wheel is then secured to the first connector via a second connector. The second connector extends through the spare wheel and into the first connector to secure the spare wheel to the first connector and thus to the vehicle.