Abstract: A battery system includes a lithium ion battery that couples to an electrical system. The battery system also includes a battery management system that electrically couples to the lithium ion battery and controls one or more recharge parameters of the lithium ion battery. Additionally, the battery management system monitors one or more parameters of the lithium ion battery. Further, the battery management system controls the recharge parameters of the lithium ion battery based on at least one lithium plating model and the monitored parameters. Furthermore, the at least one lithium plating model indicates a relationship between the one or more parameters of the lithium ion battery and a likelihood of lithium plating occurring in the lithium ion battery.

Abstract: A silicon-based anode material for secondary batteries, a preparation method thereof and a secondary battery are provided. The silicon-based anode material includes: an inner core including an Si particle and silicon oxide SiOx1, where 0<x1<2, a first shell layer including a compound of the general formula MySiOz (0<y?4, 0<z?5, and z?x1) and a C particle, wherein the first shell layer covers the inner core, and the contents of M and C in the first shell layer gradually increase from a side thereof close to the inner core to another side thereof far away from the inner core; and a second shell layer including a carbon film layer or a composite film layer formed by a carbon film layer and a conductive additive, the second shell layer covers the first shell layer. The first charge-discharge cycle capability of the silicon-based anode material is improved, and the manufacturing cost is reduced.

Abstract: Method and System for Parallel Design and Technology Optimization are disclosed. The disclosed method enables efficient parallel design and technology optimization (PDTO) and allow designers to sign off the technology development or find the optimal design point with the design analysis tools. The method includes generating, from a manufacturing technology process, a baseline SPICE model based on technology specification and manufacturing process data; extending the baseline SPICE model to a corresponding description of technology specification window in the circuit design process, where the technology specification window describes extended ranges of device model parameters; extracting a targeted SPICE model using the technology specification window; verifying, by a circuit design process that operates in parallel to the manufacturing technology process, the integrated circuit meets a design specification using the targeted SPICE model.

Abstract: A use of ganoderma fungal RNA molecules, a drug, a drug composition and a delivery carrier are provided. It has been proved that the tRFs derived from the ganoderma traditional Chinese medicine has an obvious inhibiting effect on airway smooth muscle cell phenotype change (proliferation, abnormal secretion and the like) induced by TGF-?1 and AHR, inflammation and remodeling of asthma mice induced by Dermatophagoides pteronyssinus in the experiments of the present disclosure, which suggests that the tRFs derived from the ganoderma traditional Chinese medicine and a pharmaceutical composition can be a brand new medicine for treating asthma. The drug comprises the RNA molecule and a pharmaceutically acceptable carrier, diluent and/or excipient. The present disclosure is helpful for the research and development of asthma treatment drugs and provides reference for the research and development of other respiratory system disease treatment drugs.

Abstract: The present invention discloses a plant point cloud acquisition, registration, and optimization method based on a time of flight (TOF) camera, which includes the following steps: (1) placing a to-be-tested plant on a turntable, adjusting a view angle of the TOF camera, and aligning the TOF camera with the to-be-tested plant; (2) turning on the turntable so that it rotates automatically, and enabling the TOF camera to acquire point cloud data of the to-be-tested plant at intervals; (3) performing real-time preprocessing on each frame of point cloud data acquired by the TOF camera; (4) performing registration and optimization on every two adjacent frames of point cloud data, and then integrating the data to obtain complete plant point cloud data; and (5) using statistical filtering to remove the discrete noise in the plant point cloud data obtained in the registration and optimization process to obtain final point cloud data.

Abstract: The present invention discloses a plant point cloud acquisition, registration, and optimization method based on a time of flight (TOF) camera, which includes the following steps: (1) placing a to-be-tested plant on a turntable, adjusting a view angle of the TOF camera, and aligning the TOF camera with the to-be-tested plant; (2) turning on the turntable so that it rotates automatically, and enabling the TOF camera to acquire point cloud data of the to-be-tested plant at intervals; (3) performing real-time preprocessing on each frame of point cloud data acquired by the TOF camera; (4) performing registration and optimization on every two adjacent frames of point cloud data, and then integrating the data to obtain complete plant point cloud data; and (5) using statistical filtering to remove the discrete noise in the plant point cloud data obtained in the registration and optimization process to obtain final point cloud data.

Abstract: A temperature adjusting device is included with a sand and dust environmental testing system. The sand and dust environmental testing system includes: a circulating air duct, including a contraction section, a test section and a separation section etc.; a main blower; U-type separators and guide vanes, respectively configured at four corners of the circulating air duct. The temperature adjusting device includes: heat exchange pipes distributed in the U-type separators; four groups of guide vanes. Three groups of the guide vanes are configured with heat exchange medium holes and the other group of the guide vanes is equipped with heating device. An electric heater is accommodated in the second contraction section. An intelligent temperature control includes: building a neural network system structure; blended learning training of neural network parameters; PI control; and amplitude limitation processing.