Abstract: A tumor radiotherapy planning design method and apparatus, an electronic device, and a computer storage medium are provided, including: obtaining a current optimization parameter vector set, and calculating a current cost function value; randomly correcting the current optimization parameter vector set to generate alternative optimization parameter vector sets; then performing planning parameter optimization, and calculating corresponding total cost function values; determining current optimal or suboptimal alternative optimization parameter vector sets according to the total cost function values, sampling to update the current optimization parameter vector set and the current cost function value according to the total cost function values of the current alternative optimization parameter vector sets, and then performing an iteration repeatedly until a convergence condition is satisfied; and outputting an optimal optimization parameter vector set after the iteration, determining planning parameters, and calcu

Abstract: A method for preparing Mg-RE alloys with high strength and ductility using selective laser melting (SLM) additive manufacturing technology includes the following steps of: A. preparing Mg-RE-(Zn)—Zr pre-alloyed spherical powder by gas atomization; B. molding the Mg-RE-(Zn)—Zr pre-alloyed spherical powder using SLM to obtain the Mg-RE alloys with high strength and ductility; and C. conducting heat treatment on the Mg-RE alloys prepared in step B: solid solution+aging treatment or only aging treatment The method adjusts and controls microstructure and mechanical properties of the alloys by adjusting and controlling process parameters of SLM (laser power, scanning speed, hatch spacing, spot diameter, layer thickness, interlayer rotation angle, substrate preheating temperature, partition width and overlapping area width) and process parameters of subsequent heat treatment (temperature and time) to prepare the Mg-RE-(Zn)—Zr alloys with high strength and ductility using SLM process for the first time.

Abstract: An artificial intelligence (AI) accelerator device may include a plurality of on-chip mini buffers that are associated with a processing element (PE) array. Each mini buffer is associated with a subset of rows or a subset of columns of the PE array. Partitioning an on-chip buffer of the AI accelerator device into the mini buffers described herein may reduce the size and complexity of the on-chip buffer. The reduced size of the on-chip buffer may reduce the wire routing complexity of the on-chip buffer, which may reduce latency and may reduce access energy for the AI accelerator device. This may increase the operating efficiency and/or may increase the performance of the AI accelerator device. Moreover, the mini buffers may increase the overall bandwidth that is available for the mini buffers to transfer data to and from the PE array.

Abstract: Systems and methods for intelligently providing users with supporting information based on big-data analyses of a data set. Machine-learning algorithms may be executed using the data set to identify correlations between data objects of the data set. The correlations can be used to recommend supporting information to a user. A user interface can be provided to enable a user to initiate a process associated with an event. In response to receiving the input, the system can identify variables associated with the request. Based on these variables, the system can retrieve output data of the machine-learning algorithms to identify the supporting information for the user.

Abstract: Systems and methods for intelligently providing users with supporting information based on big-data analyses of a data set. Machine-learning algorithms may be executed using the data set to identify correlations between data objects of the data set. The correlations can be used to recommend supporting information to a user. A user interface can be provided to enable a user to initiate a process associated with an event. In response to receiving the input, the system can identify variables associated with the request. Based on these variables, the system can retrieve output data of the machine-learning algorithms to identify the supporting information for the user.

Abstract: Systems and methods for intelligently providing users with supporting information based on big-data analyses of a data set. Machine-learning algorithms may be executed using the data set to identify correlations between data objects of the data set. The correlations can be used to recommend supporting information to a user. A user interface can be provided to enable a user to initiate a process associated with an event. In response to receiving the input, the system can identify variables associated with the request. Based on these variables, the system can retrieve output data of the machine-learning algorithms to identify the supporting information for the user.

Abstract: An electrical conductor which has an electrically conducting fiber including carbon nanotubes and/or a graphene nanoribbon and a layer of insulating material coated around the electrically conducting fiber. The insulating material substantially does not penetrate the electrically conducting fiber, or penetrates the electrically conducting fiber only to a depth that leaves a continuous conductive path along a remaining part of the electrically conducting fiber.

Abstract: Disclosed is a web page display method and system. The method includes: saving for a web page display parameters corresponding to time periods, each display parameter corresponding to one time parameter; receiving a request for accessing the web page, searching for, from the display parameters saved, a display parameter of the web page corresponding to a time period to which the current time belongs; displaying the web page according to the display parameter searched. The system includes: a setting module, configured to save for a web page a display parameter corresponding to a time period; a searching module, configured to search for a display parameter of the web page corresponding to a time period to which the current time belongs when a request for accessing the web page is received; a display module, configured to display the web page according to the display parameter searched by the searching module.

Abstract: An electrical conductor comprising an electrically conducting fibre comprising carbon nanotubes and/or graphene nanoribbon and a layer of insulating material coated around the electrically conducting fibre. The insulating material substantially does not penetrate the electrically conducting fibre, or penetrates the electrically conducting fibre only to a depth that leaves a continuous conductive path along a remaining part of the electrically conducting fibre.