Abstract: A composite solution for enhancing induced disease resistance of lentinan (LNT) to a plant, a preparation method of the composite solution, and a method for enhancing induced disease resistance of LNT to a plant are provided. The composite solution for enhancing induced disease resistance of LNT to a plant includes: an LNT-containing solution and an SPc-containing solution, where SPc is a dendritic macromolecule functionalized by an amino functional group, and has a structural formula shown in formula I, where n=1 to 100. An LNT/SPc complex is produced in the composite solution. SPc spontaneously combines with LNT through hydrogen bonding, such that an agglomerate structure formed by LNT in an aqueous solution is broken and reduced to a nano-scale particle size, and a spherical particle is produced, which can significantly reduce a contact angle of the LNT aqueous solution, and promote the distribution and diffusion of LNT.

Abstract: Disclosed are a dry ice cleaning and recycling device and a method a connecting rod. The device includes a dry ice ejector module, a clamping module, and a box, and the dry ice ejector module and the clamp module are both arranged in the box; the dry ice ejector module includes a spray gun guide rail and a cleaning nozzle vertically and slidably connected to the spray gun guide rail; and the clamp module includes a clamp guide rail and a clamp horizontally and slidably connected to the clamp guide rail. The device further includes a dry ice recycling device, the dry ice recycling device includes a dry ice recycling collector and a condenser pipe, and two ends of the condenser pipe are communicated with the box and the dry ice recycling collector respectively.

Abstract: A LIDAR-based method of determining an absolute speed of an object at a relatively longer distance from an ego vehicle, including: estimating a self speed of the ego vehicle using a first frame t?1 and a second frame t obtained from a LIDAR sensor by estimating an intervening rotation ? about a z axis and translation in orthogonal x and y directions using a deep learning algorithm over a relatively closer distance range; dividing each of the first frame t?1 and the second frame t into multiple adjacent input ranges and estimating a relative speed of the object at the relatively longer distance by subsequently processing each frame using a network, with each input range processed using a corresponding convolutional neural network; and combining the estimation of the estimating the self speed with the estimation of the estimating the relative speed to obtain an estimation of the absolute speed.

Abstract: Some embodiments provide a microservice component-based database system, to split a database kernel into microservice components that can be enabled and run independently and whose functions are decoupled, and implement flexible database assembly and management. The microservice component can be deployed based on a system resource and a service form. The components can collaborate with each other by using a lightweight communication mechanism. A component manager provides capabilities such as registration and deregistration of a service component, component resource management, component fault tolerance, and component upgrade, to implement dynamic management of the component in a running environment. A job scheduler selects, based on a job submitted by a user, an optimal execution path including a plurality of components, and performs resource management and scheduling in a job execution process, to implement load balancing and high availability.

Abstract: The present invention discloses a cloud infrastructure-based management system and method for maintenance deployment of an application system. A cloud infrastructure-based method for maintenance and deployment of an application system, comprising: obtaining a scheduling deployment policy of an application; obtaining performance of an application instance or task processing state data of the application instance; and performing application scheduling deployment according to the scheduling deployment policy of the application and the performance of the application instance or the task processing state data of the application instance, generating a deployment instruction for the application instance, and completing deployment configuration of the application instance, wherein the deployment instruction comprises an application attribute and a range of attribute values.

Abstract: A method and a system for processing a request message, and a load balancer device are provided. The load balancer obtains a service name and an operation name through simple string matching, and a large amount of computing is performed at a server side, thereby solving a session hold problem of a composition engine cluster, reducing a computing task of a load balancer, maximizing a fan-out capability of the load balancer, and increasing a throughput of the composition engine cluster to a maximum extent, therefore satisfying a demand for a large capacity of a composition engine.

Abstract: The present invention discloses a cloud infrastructure-based management system and method for maintenance deployment of an application system. A cloud infrastructure-based method for maintenance and deployment of an application system, comprising: obtaining a scheduling deployment policy of an application; obtaining performance of an application instance or task processing state data of the application instance; and performing application scheduling deployment according to the scheduling deployment policy of the application and the performance of the application instance or the task processing state data of the application instance, generating a deployment instruction for the application instance, and completing deployment configuration of the application instance, wherein the deployment instruction comprises an application attribute and a range of attribute values.

Abstract: A method and a system for processing a request message, and a load balancer device are provided. The load balancer obtains a service name and an operation name through simple string matching, and a large amount of computing is performed at a server side, thereby solving a session hold problem of a composition engine cluster, reducing a computing task of a load balancer, maximizing a fan-out capability of the load balancer, and increasing a throughput of the composition engine cluster to a maximum extent, therefore satisfying a demand for a large capacity of a composition engine.