Abstract: The present disclosure provides a video generation method and apparatus, a device, and a storage medium. The method includes: playing a first video for prompting a video taking style on a video taking page in the form of a floating window, wherein the video taking page presents a taken image preview region for presenting a taken image in preview and a video taking control; recording, in response to a triggering operation on the video taking control, the taken image in the taken image preview region to generate a second video, wherein the second video and the first video have a same style. In this way, the second video is taken by playing, on the video taking page, the first video used for prompting the video taking style, so that an ordinary user can be guided to take a high-quality video, and the video taking experience of the user is improved.

Abstract: A video editing method and apparatus, a computer readable storage medium, a device, and a computer program product are provided. The method includes: displaying a material addition page, in response to a preset edition operation for a first video editing template; acquiring a user material corresponding to the first video editing template, based on the material addition page; and generating a first video corresponding to the first video editing template according to the user material. The material description information corresponding to the first video editing template is displayed on the material addition page, and the material description information is used to describe a content feature of a user material. The first video is a video edited from the user material according to an editing operation indicated by the first video editing template.

Abstract: A method for assessing test adequacy of deep neural networks based on element decomposition is provided. The network testing is divided into black box testing and white box testing, of which key elements are decomposed and defined. Network parameters including a weight matrix and a bias vector are extracted. Importance values of neurons in individual layers of the deep neural network are calculated and clustered, and an importance value hot map of neurons in each layer is generated based on clustering results. Mutation testing, and index calculation and evaluation are performed.

Abstract: The present disclosure provides a thermal-stress-pore pressure coupled electromagnetic loading triaxial Hopkinson bar system and test method, the system mainly consists of an electromagnetic pulse generation system, a servo-controlled axial pressure loading system, a servo-controlled confining pressure loading system, a thermal control system, a pore pressure loading system, a bar system, and a data monitoring and acquisition system. Based on the conventional Hopkinson bar, the present disclosure creatively introduces a real-time loading and control system for confining pressure, thermal, and pore pressure, aiming to solve the technical problem that the existing test apparatus cannot be used to study dynamic response of deep rock mass under the coupling effect of thermal-stress-pore pressure and dynamic disturbance during dynamic impact loading.

Abstract: A method of reducing a gaseous compound, for example, nitrogen or carbon dioxide, the method comprising the steps of subjecting the gaseous compound to plasma forming conditions to form a plasma; contacting the plasma with water or an electrolyte at a plasma-water or electrolyte-water interface, thereby to provide a dissolved plasma derived species; and electrocatalytically reducing said dissolved plasma derived species to provide a reduced compound. The plasma may for example be generated by a combination of glow discharge and spark discharge in a configuration of a pin-to-liquid with no enclosure, pin-to-liquid with nozzle enclosure, or a pin-to-liquid with a column bubbler enclosure. A catalyst, such as transition metal, maybe added, advantageously in the form of a nano structured catalyst.

Abstract: The invention discloses a secure smart terminal and an information processing method. The terminal includes a first operating system for processing sensitive logic, a secure storage module, a secure processing module. The secure storage module is for storing sensitive logic of the first operating system and an application. The secure processing module is for switching a current operating system into the first operating system and processing the sensitive logic in the first operating system in case that any sensitive logic is invoked. The first operating system is of functions of protecting information security and preventing invasion of a vicious software.