Abstract: The present invention discloses a method for removing carbon dioxide from a reaction gas. The present invention fully utilizes the available heat in each part of the carbon dioxide removal system to reduce external heat exchange, and thereby significantly reduces the carbon dioxide content in the gas returned to the reactor, and also greatly reduces the steam consumption during the regeneration of the rich decarburizing solution. The present invention also discloses a system for removing carbon dioxide from the reaction gas and use thereof.

Abstract: The invention relates to a method for preparing high-stability liquid blueberry anthocyanins, belonging to the field of food processing. A method for preparing high-stability liquid blueberry anthocyanins comprises the following process steps: adding graphene oxide and chitosan to an MES buffer solution at room temperature, mixing homogeneously and adding EDC and NHS sequentially, reacting to obtain a first solution; adding dry blueberry anthocyanin powder in the first solution, adjusting pH to 4.5 to 5.0 and mixing homogeneously to obtain a second solution, and treating the second solution at 350 to 420 MPa and 2 to 4° C. to obtain the product. The method for increasing the stability of blueberry anthocyanins provided by the present invention uses dry blueberry anthocyanin powder as a raw material and adds graphene oxide combined with chitosan compound as an anthocyanin stabilizer, thereby increasing the stability of blueberry anthocyanins during processing and production.

Abstract: A low-thermal-shrinkage polyester industrial yarn and preparation method thereof are provided. The low-thermal-shrinkage polyester industrial yarn is prepared by spinning and winding a modified polyester after solid-state polycondensation to increase viscosity. The preparation method of the modified polyester includes: after uniformly mixing terephthalic acid, ethylene glycol, 2,5-pyridinedicarboxylic acid and copper chloride, successively performing an esterification reaction and a polycondensation reaction to obtain the modified polyester. The polyester segments of the prepared low-thermal-shrinkage polyester industrial yarn comprises a terephthalic acid segment, an ethylene glycol segment and a 2,5-pyridinedicarboxylic acid segment, and 2,5-pyridinedicarboxylic acid segments of different polyester segments are coordinated by Cu2+. The molar ratio of the terephthalic acid segment to the 2,5-pyridinedicarboxylic acid segment is 1:(0.03-0.05).

Abstract: The location of resources for file services are located within the same site, thereby eliminating or reducing performance issues caused by cross-site accesses in a stretched cluster environment. A file server placement algorithm initially places file servers at a site based at least in part on host workload and affinity settings, and can perform failover to move the file servers to a different location (e.g., to a different host on the same site or to another site) in the event of a failure of the host where the file servers were initially placed. File servers may be co-located with clients at a location based on client latencies and site workload. Failover support is also provided in the event that the sites in the stretched cluster have different subnet addresses.

Abstract: A method and an apparatus for operation of an ultra wide band (UWB) tag, a UWB tag, and a storage medium are provided and relate to the field of UWB technology. The method includes the following. A UWB transceiver is controlled to be in a first transceiving state in response to the UWB tag being in a first state, where the first state belongs to a target-state set. The UWB tag is switched to a second state from the first state in response to a state transition event and the UWB transceiver is controlled to be in a second transceiving state, where the second state belongs to the target-state set.

Abstract: This application relates to preparation of organic photomultiplication photodetectors, and more particularly to an organic photomultiplication photodetector with bi-directional bias response and a method for producing the same. The photodetector includes an anode layer, an anode modification layer, an interfacial modification layer, an active layer and a cathode layer arranged in sequence. The interfacial modification layer is made of Al2O3. The anode layer is made of indium tin oxide (ITO). The anode modification layer is made of poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate)(PEDOT:PSS). The active layer is made of poly(3-hexylthiophene-2,5-diyl):[6,6]-phenyl-C70-butyric acid methyl ester (P3HT:PC70BM). The cathode layer is made of aluminum, silver or gold.

Abstract: A live broadcast interactive method is performed by a computer device. The method includes: displaying a live broadcast picture, the live broadcast picture including a live broadcast interactive role, the live broadcast picture being a live broadcast picture acquired when an anchor account conducts a virtual activity on a first virtual role in a virtual world; and displaying the live broadcast interactive role performing a first interactive action in response to the virtual activity of the first virtual role in the virtual world meeting a trigger condition. In this application, by adding the live broadcast interactive role and connecting the live broadcast interactive role with the first virtual role in the virtual world, interactive modes between the anchor user and the audience user in the process of webcasting are enriched, thus improving interactive efficiency in the process of webcasting.

Abstract: A high-strength creep-resistant polyester industrial yarn and preparation method thereof are provided. The high-strength creep-resistant polyester industrial yarn is prepared by spinning, winding and coordination treatment of a modified polyester after solid-state polycondensation to increase viscosity. The condition of coordination treatment is 60-72 hours at 80-100° C. The coordination agent is AgNO3, FeCl2, CuCl2, or NiCl2. The polyester segments of the prepared high-strength creep-resistant polyester industrial yarn includes a terephthalic acid segment, an ethylene glycol segment and a 2-(4-pyridine) terephthalic acid segment, and 2-(4-pyridine) terephthalic acid segments of different polyester segments are coordinated by metal ions (Ag+, Fe2+, Cu2+ or Ni2). The molar ratio of the terephthalic acid segment to the 2-(4-pyridine) terephthalic acid segment is 1:(0.03-0.05). The N atom on the pyridine of the 2-(4-pyridine) terephthalic acid segment is involved in coordination.

Abstract: Spun fibers and the use thereof, and a fiber spinning method. The fiber spinning method comprises extruding and spinning a spinning solution, and then sequentially subjecting a fiber precursor obtained by spinning to cooling formation, drying and stretching, wherein the method for the cooling formation comprises bringing the fiber precursor into contact with a fluid at a temperature of no more than ?10° C. Polyethylene spun fibers obtained by means of the fiber spinning method have a breaking strength of 40 CN/dtex or more and a modulus of 1400 CN/dtex or more.

Abstract: A detection substrate and manufacturing method thereof, a flat panel detector and manufacturing method thereof. The detection substrate includes: a substrate including a detection region, a binding region, a controllable on-off region, and a cutting region; a plurality of detection units including transistors and photosensitive devices located in the detection region, a transistor includes a gate, a first electrode and a second electrode; a photosensitive device is connected to the first or second electrode; a plurality of conductive wires, one end is connected to the gate, and the other end is extended to the binding region; a conductive ring disposed in the cutting region; a plurality of detection wires, one end is connected to the conductive ring, the other end is connected to the conductive wires, the detection wires are passed through the controllable on-off region; the detection wires located in the controllable on-off region can have a disconnected state.

Abstract: A cab roof structure, a cab and a rail train are described. The cab roof structure comprises: at least one roof connecting beam disposed on a roof carline; and at least two aluminum honeycomb panels, one roof connecting beam is disposed between every two aluminum honeycomb panels, and each aluminum honeycomb panel is fixedly connected to a left or right side of the roof connecting beam. The cab roof structure has the advantages of high structural strength, light weight, less welding and good manufacturability.

Abstract: The present disclosure provides a method and apparatus for determining an application service dependency, and a processor. The method includes that: an input pulse of first application service and an output pulse of second application service are acquired; a time interval between the input pulse and the output pulse is determined; and an application service dependency between the first application service and the second application service is determined based on the time interval. According to the present disclosure, a technical problem that an application service dependency between different pieces of application service cannot be determined accurately through a method for determining an application service dependency provided in the related art is solved.

Abstract: A method for calibrating parameters of a hydrology forecasting model based on a deep reinforcement learning includes selecting according to basin characteristics, and the parameters and parameter value ranges to be calibrated by the model are determined. The method includes a calibrating the parameters of the hydrology forecasting model is established, and three elements of the reinforcement learning, that is, a state space, an action space and a reward function are determined. The method includes a deep reinforcement learning method DQN is applied to optimize the parameters to be calibrated by the hydrology forecasting model. In the present disclosure, by setting a stride length of the action value for the deep reinforcement learning model, an accuracy finally optimized by the calibration parameters can be freely controlled, and a DQN algorithm is adopted to search the entire space for the calibration parameters to ensure the optimality for optimizing the calibrated parameters.

Abstract: A load prediction method includes determining for a current prediction time point of a prediction day, a similar days of a prediction day from historical days before the prediction day; acquiring an air temperature difference between an air temperature at the time point of the prediction day and an air temperature at the time point of the similar day; determining a difference of loads at the time point of the prediction day and the similar day according to the air temperature difference; and determining a predicted load value at the time point of the prediction day according to a load value at the time point of the similar day and the load difference.

Abstract: A method for optimizing a reservoir operation for multiple objectives based on a GCN and a NSGA-II algorithm. The method includes collecting relevant data for reservoir flood-control operation and establishing a multi-objective optimization model for the flood control. An initial population is obtained. Grouping individuals by an encoding operation and the grouped classifications are nodes of the GCN, and mapping parent-child relationships obtained by crossover and mutation operations as edges between the nodes in the GCN. A preliminary Pareto frontier is obtained, abscissas of the preliminary Pareto frontier are grouped and labeled, and a GCN model is trained by using the grouping labels and the graphic structure obtained in Step 2. The nodes in the graphic structure are classified by using the trained GCN model, and a uniformity of the Pareto frontier is adjusted. A set of non-inferior schemes of the multi-objective optimization problem for the reservoir operation is output.

Abstract: An optical lens assembly and an imaging device including the optical lens assembly are disclosed. The optical lens assembly may include a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens, and a seventh lens sequentially from an object side to an image side along an optical axis. The first lens may have a negative refractive power with an image-side surface being concave. The second lens may have a positive refractive power with an object-side surface being convex. The third lens may have a negative refractive power with an object-side surface and an image-side surface being concave. The fourth lens may have a positive refractive power with an object-side surface and an image-side surface being convex. The seventh lens may have a positive refractive power with an object-side surface being convex.

Abstract: A network adapter node performance detection method, includes: creating corresponding path test messages based on a plurality of ports of a node to be tested respectively, and sending the corresponding path test messages to a test node by means of the plurality of ports; receiving a path test message returned by the test node, and determining whether a port corresponding to the received path test message is consistent with a receiving port; in response to the fact that the port corresponding to the received path test message is consistent with the receiving port, sending a plurality of performance detection messages to the test node by means of the port; and receiving a performance detection message returned by the test node, and recording a performance parameter of the node to be tested to evaluate a state of the node to be tested.

Abstract: The present disclosure provides a method and apparatus for determining an attribute value of an obstacle in vehicle infrastructure cooperation. The method includes: acquiring vehicle-end data collected by at least one sensor of an autonomous driving vehicle; acquiring vehicle wireless communication V2X data transmitted by a roadside device; and fusing, in response to determining that an obstacle is at an edge of a blind spot of the autonomous driving vehicle, the vehicle-end data and the V2X data to obtain an attribute estimated value of the obstacle.

Abstract: A method for dynamic storage object configuration in a datacenter is provided. Embodiments include determining a number of fault domains in a storage cluster that have sufficient storage capacity for creating a storage object. Embodiments include applying a dynamic fault tolerance policy to the number of fault domains that have sufficient capacity for creating the storage object in order to determine a number of host failures to tolerate for the storage object, the dynamic fault tolerance policy specifying a manner of determining, for any respective storage object, a respective number of host failures to tolerate for storing the respective storage object in a respective storage cluster based on at least a respective number of fault domains of the respective storage cluster. Embodiments include implementing the storage object on the storage cluster based on the number of host failures to tolerate for the storage object.

Abstract: A method for optimally selecting a flood-control operation scheme based on a temporal convolutional network.