Abstract: This application discloses an interactive service processing method and system, a device, and a storage medium, and belongs to the field of computer technologies. The method includes acquiring a video stream and interactive information corresponding to the video stream, the interactive information comprising an interactive timestamp and interactive data; determining a transmission mode corresponding to the interactive information, the transmission mode comprising one of transmission based on a network channel and transmission with a video stream fragment as a medium; transmitting the video stream to a target terminal; and transmitting the interactive information to the target terminal based on the transmission mode corresponding to the interactive information, the target terminal being configured to process interactive service on the video stream according to the interactive timestamp and the interactive data in the interactive information.

Abstract: A positive active material made of carbon-coated lithium iron phosphate includes a lithium iron phosphate substrate, and a carbon coating layer on a surface of the substrate. The lithium iron phosphate substrate has a general structural formula LiFe1-aMaPO4, where M is at least one selected from Cu, Mn, Cr, Zn, Pb, Ca, Co, Ni, Sr, Nb, or Ti, and 0?a?0.01. A carbon coating factor of the carbon-coated lithium iron phosphate, ? = BET ? 1 BET ? 2 , satisfies 0.81???0.95, where BET1 denotes a specific surface area of mesopore and macropore structures in the carbon-coated lithium iron phosphate, and BET2 denotes a total specific surface area of the carbon-coated lithium iron phosphate.

Abstract: The specification relates to the technical field of magnetic materials, in particular to an Fe-based amorphous nanocrystalline alloy and a preparation method thereof. The Fe-based amorphous nanocrystalline alloy comprises elements, the atomic percentages of which are as shown by the formula Fe(100-a-b-c-d-e-f)BaSibPcCdCueNbf, wherein 8?a?12, 0.2?b?6, 2.0?c?6.0, 0.5?d?4, 0.6?e?1.3, 0.6?f?0.9, and 1?e/f?1.4. The Fe-based amorphous nanocrystalline alloy has good magnetic properties, excellent thermal properties and a wide crystallization temperature zone, thus being suitable for industrial production.

Abstract: An inhibitor for resisting muskmelon powdery mildew as well as preparation method and application thereof are provided, belonging to the technical field of muskmelon culturing. In order to solve the technical problems that muskmelon powdery mildew has caused serious influence on growth and yield of muskmelon, the disclosure uses an inhibitor containing allantoin for resisting muskmelon powdery mildew to spray leaves of the muskmelon in a seedling stage or a spreading stage of the muskmelon, which effectively increases the resistance of the muskmelon to powdery mildew. The disclosure has great significance for improving the yield and quality of the muskmelon.

Abstract: A lock structure and a cooking appliance are provided. The lock structure has a fixing member and a locking assembly. The locking assembly has a bearing member, a mount connected to the bearing member, a driving member, a first elastic member and a locking member. The bearing member is detachably connected to a surface. At least a portion of the driving member is provided within the mount. A first end of the first elastic member is connected to the driving member. The locking member is connected to a second end of the first elastic member. The locking member is capable of moving relative to the mount under the driving of the driving member and the first elastic member, and is locked to or separated from the fixing member.

Abstract: The present disclosure provides an operator registration method and apparatus for a deep learning framework, a device and a storage medium, relates to the field of computer technologies, and specifically to the field of artificial intelligence such as deep learning. The operator registration method for a deep learning framework includes: receiving registration information provided by a user for registering operators with the deep learning framework, the registration information including: a custom calculation function, the custom calculation function being written in a manner irrelevant to the deep learning framework; building operator meta-information in the deep learning framework based on the registration information; and constructing a to-be-registered operator within the deep learning framework based on the operator meta-information, and registering the to-be-registered operator in a global operator table within the deep learning framework.

Abstract: A positive-electrode material, a positive electrode plate, a lithium secondary battery, a battery module, a battery pack, and an apparatus are provided. The positive-electrode material in some embodiments includes lithium iron phosphate monocrystalline particles and lithium iron phosphate secondary particles. The lithium iron phosphate secondary particles have low specific surface area and can reduce binder and solvent consumption during slurry preparation, increase a solid content of slurry, and improve processing performance of a thick-coating plate. In addition, lithium iron phosphate monocrystal fully fills in gaps between the lithium iron phosphate secondary particles to further improve a compacted density of the plate and reduce a membrane resistance of the positive electrode plate, thereby improving performance of capacity per gram and cycling performance of the lithium secondary battery.

Abstract: A lock structure and a cooking appliance are provided. The locking structure a fixing member and a locking assembly. The locking assembly has a mount, a driving member, a first elastic member and a locking member. At least a portion of the driving member is provided within the mount. A first end of the first elastic member is connected to the driving member. The locking member is connected to a second end of the first elastic member. The locking member is capable of moving relative to the mount under the driving of the driving member and the first elastic member, and is locked to or separated from the fixing member.

Abstract: A method and apparatus of converting a schema in a deep learning framework, an electronic device, and a computer storage medium are provided. The method of converting the schema in the deep learning framework includes: updating a first schema, based on first syntax elements in the first schema and a context relationship between the first syntax elements in the first schema, so as to obtain an updated first schema; generating second syntax elements corresponding to updated first syntax elements in the updated first schema, based on a mapping relationship between the updated first syntax elements in the updated first schema and second syntax elements in a second schema system; and combining the second syntax elements according to a context relationship between the updated first syntax elements, so as to generate a second schema.

Abstract: The techniques described herein may provide techniques for precise and fully-automatic on-site software failure diagnosis that overcomes issues of existing systems and general challenges of in-production software failure diagnosis. Embodiments of the present systems and methods may provide a tool capable of automatically pinpointing a fault propagation chain of program failures, with explicit symptoms. The combination of binary analysis, in-situ/identical replay, and debugging registers may be used together to simulate the debugging procedures of a programmer automatically. Overhead, privacy, transparency, convenience, and completeness challenges of in-production failure analysis are improved, making it suitable for deployment uses.

Abstract: Realized is a method for restoring the activity of a catalyst for producing a carbonate ester by a simple technique with no use of a complicated step such as calcining or the like to allow the catalyst to be reusable, and a method for producing a carbonate ester at a high yield by use of the catalyst thus regenerated. The above-described problem has been solved by a method for regenerating a catalyst containing CeO2, the catalyst being usable for a carbonate ester generation reaction of generating a carbonate ester from carbon dioxide and an alcohol, the method comprising (a) a separation step of separating the catalyst as a crude catalyst from a reaction solution of carbon dioxide and the alcohol; and (b) a catalyst processing step of washing the crude catalyst with a washing alcohol to provide a purified catalyst.

Abstract: A positive active material made of carbon-coated lithium iron phosphate includes a lithium iron phosphate substrate, and a carbon coating layer on a surface of the substrate. The lithium iron phosphate substrate has a general structural formula LiFe1-aMaPO4, where M is at least one selected from Cu, Mn, Cr, Zn, Pb, Ca, Co, Ni, Sr, Nb, or Ti, and 0?a?0.01. A carbon coating factor of the carbon-coated lithium iron phosphate, ? = BET ? 1 BET ? 2 , satisfies 0.81???0.95, where BET1 denotes a specific surface area of mesopore and macropore structures in the carbon-coated lithium iron phosphate, and BET2 denotes a total specific surface area of the carbon-coated lithium iron phosphate.

Abstract: Memory allocation techniques may provide improved security and performance. A method may comprise mapping a block of memory, dividing the block of memory into a plurality of heaps, dividing each heap into a plurality of sub-heaps, wherein each sub-heap is associated with one thread of software executing in the computer system, dividing each sub-heap into a plurality of bags, wherein each bag is associated with one size class of objects, creating an allocation buffer and a deallocation buffer for each bag, storing a plurality of objects in at least some of the bags, wherein each object is stored in a bag having size class corresponding to a size of the object, storing in the allocation buffer of each bag information relating to available objects stored in that bag, and storing in the deallocation buffer of each bag information relating to freed objects that were stored in that bag.

Abstract: A positive active material is provided. In some embodiments, the positive material includes: a substrate and a coating layer coating the substrate, wherein the coating layer includes a fast ion conductor layer and a carbon coating layer, the substrate includes more than one compound of formula (I): LiFe1-aM1aPO4 formula (I), in formula (I), M1 is more than one selected from Cu, Mn, Cr, Zn, Pb, Ca, Co, Ni, Sr, Nb and Ti, and 0?a?0.01; the fast ion conductor layer includes a fast ion conductor of a NASICON structure shown in formula (II), Li3-bFe2-bM2b(PO4)3 formula (II), in formula (II), M2 is more than one selected from Ti, Zr, Hf, Ge and Sn with valence of +4, and 0?b?1.

Abstract: The present disclosure discloses a method, an apparatus and an electronic device for deploying an operator in a deep learning framework and relates to the field of artificial intelligence technology such as deep learning. And the solution is: acquiring a source file of the operator; compiling the source file of the operator to form a dynamic link library of the operator; generating an interface file transferred from the dynamic link library of the operator; generating an installable library file according to the dynamic link library and the interface file; installing the installable library file to a target programming language library.

Abstract: The present disclosure provides an operator registration method and apparatus for a deep learning framework, a device and a storage medium, relates to the field of computer technologies, and specifically to the field of artificial intelligence such as deep learning. The operator registration method for a deep learning framework includes: receiving registration information provided by a user for registering operators with the deep learning framework, the registration information including: a custom calculation function, the custom calculation function being written in a manner irrelevant to the deep learning framework; building operator meta-information in the deep learning framework based on the registration information; and constructing a to-be-registered operator within the deep learning framework based on the operator meta-information, and registering the to-be-registered operator in a global operator table within the deep learning framework.

Abstract: The devices within an inter-device processing system maintain data coherency in the last level caches of the system as a cache line of data is shared between the devices by utilizing a directory in one of the devices that tracks the coherency protocol states of the memory addresses in the last level caches of the system.

Abstract: An arbitrary curved-surface display device which has unit display pixels including active inorganic micro-light emitting diode unit chips, wherein each active inorganic micro-light emitting diode unit chip comprises an inorganic light-emitting diode unit device and a field-effect transistor. Conducting wires are on a substrate of the arbitrary-curved surface, and the conducting wires connect to each active inorganic micro-light emitting diode unit chip.

Abstract: This application discloses an interactive service processing method and system, a device, and a storage medium, and belongs to the field of computer technologies. The method includes acquiring a video stream and interactive information corresponding to the video stream, the interactive information comprising an interactive timestamp and interactive data; determining a transmission mode corresponding to the interactive information, the transmission mode comprising one of transmission based on a network channel and transmission with a video stream fragment as a medium; transmitting the video stream to a target terminal; and transmitting the interactive information to the target terminal based on the transmission mode corresponding to the interactive information, the target terminal being configured to process interactive service on the video stream according to the interactive timestamp and the interactive data in the interactive information.

Abstract: A method and apparatus of constructing a network model for deep learning, a device, and a storage medium, which relate to artificial intelligence, and in particular to a field of deep learning. The method of constructing the network model for deep learning includes: determining an execution mode for executing codes, based on a mode parameter; executing the codes by using a first component, which is executable in a first execution mode, through a syntax element in the codes, in response to determining that the execution mode is the first execution mode; and executing the codes by using a second component, which is executable in a second execution mode, through the syntax element, in response to determining that the execution mode is the second execution mode; wherein the first component and the second component have the same component interface, and the syntax element corresponds to the component interface.