Abstract: A carbonaceous material contains element O, where the content of element O of the carbonaceous material tested by X-ray photoelectron spectroscopy is denoted as A, the content of element O of the carbonaceous material tested by elemental analysis is denoted as B, and the carbonaceous material satisfies A/B?3 and 5 wt %?A?20 wt %.

Abstract: A carbonaceous material where in the CO2 adsorption test of the carbonaceous material, the total CO2 adsorption at 0° C. and a relative pressure P/P0 between 10?8 and 0.029 is recorded as A, the adsorption time is recorded as B, and the carbonaceous material satisfies: A/B?1.7 cm3/(g×h) STP, where STP is the standard condition, P represents the test pressure of CO2, and P0 represents the saturated vapor pressure of CO2 at 0° C.

Abstract: A carbonaceous material has an adsorption velocity v that satisfies 0.015?v?0.050 when subjected to an adsorption test using water vapor at a constant temperature and humidity of 25° C. and 40% RH. The water vapor adsorption test is performed under the following conditions: in a constant temperature and humidity chamber at 25° C. and 40% RH, the carbonaceous material with a mass of m1 is placed in a container, and a water vapor adsorption mass m2 and a water vapor adsorption time t are recorded when the water vapor adsorption of the carbonaceous material reaches equilibrium, and the water vapor adsorption velocity is v=m2/(m1×t), where mi is measured in g, m2 is measured in g, and t is measured in h.

Abstract: A method for forming a memory device is provided. An alternating dielectric stack is formed on a substrate. The alternating dielectric stack includes a dielectric layer pair, and the dielectric layer pair includes a first dielectric layer and a second dielectric layer different from the first dielectric layer. A barrier structure extending vertically through the alternating dielectric stack and laterally separating the alternating dielectric stack into a first portion and a second portion is formed. The barrier structure has an unclosed shape. The first dielectric layer in the second portion of the alternating dielectric stack is replaced with a conductor layer to form an alternating conductor/dielectric stack including the conductor layer and a third dielectric layer. A through array contact structure extending vertically through the first portion of the alternating dielectric stack to the substrate is formed.

Abstract: A data processing method, an execution workstation, an electronic device, and a computer-readable storage medium are provided. The method includes: receiving a task allocated to each processing core of the plurality of processing cores from a management workstation; separately executing the task allocated to each processing core by each processing core of the plurality of processing cores, and generating a task result with a pre-determined data structure after each execution of a task; merging the task result generated by each processing core after each execution into a shared task result stored in an internal memory of the execution workstation, the shared task result and the task result generated by each processing core after each execution having a same data structure; and when a pre-determined condition is satisfied, using the shared task result for conducting reduction with a task result of another execution workstation.

Abstract: A data processing method, an execution workstation, a distributed computing system and a computer-readable storage medium.

Abstract: A computer cluster is configured to perform distributed computing on graph data, the computer cluster includes a first computer and a second computer, the first computer is configured to process a vertex in a first vertex set in the graph data, the second computer is configured to process a vertex in a second vertex set in the graph data, the first vertex set includes a first source vertex, the second vertex set includes a first destination vertex corresponding to the first source vertex. A communication method includes: generating information of the first source vertex; determining the second computer based on pre-recorded mapping relationship information, where the second computer is configured to process information of the first destination vertex; and sending a first communication message to the second computer, where the first communication message includes the information of the first source vertex.

Abstract: Embodiments of this specification disclose graph data partition computer-implemented methods, non-transitory, computer-readable media, and computer-implemented systems. A computer-implemented method includes partitioning vertices in graph data into a plurality of dataset. Edges in the graph data are partitioned into datasets that include target vertices of the edges, where the datasets are used by nodes in a distributed cluster to perform graph computation, and where computational loads of the plurality of datasets are similar Implementations of this specification can achieve load balancing between nodes in the distributed cluster and can reduce communication overhead.

Abstract: Embodiments of this specification provide distributed data processing methods, apparatuses, and devices. One method includes: determining an active vertex set that currently participates in data processing in target graph data, in response to determining that an external memory of a first distributed node stores an active vertex in the active vertex set, determining, from a plurality of predetermined data processing modes, a target data processing mode that matches the active vertex set, determining, based on the target data processing mode, a to-be-updated vertex according to the association relationship with the active vertex, and sending, based on first data of the active vertex in the external memory, a first update message to a target distributed node in which the to-be-updated vertex is located.

Abstract: A data fusion method and apparatus for a LiDAR system includes a source LiDAR and at least one secondary LiDAR for obtaining a first point cloud data set of the LiDAR system at a first time point and a second point cloud data set of the system at a second time point separately; determining candidate transformation matrix sets based on the first point cloud data set, where each candidate transformation matrix set includes candidate transformation matrices for transforming point cloud data of a corresponding secondary LiDAR into a coordinate system of the source LiDAR; selecting a target transformation matrix from candidate transformation matrices in each of the candidate transformation matrix sets based on the second point cloud data set; and fusing point cloud data of the source LiDAR and point cloud data of the at least one secondary LiDAR based on a target transformation matrix corresponding to each secondary LiDAR.

Abstract: A computer executed parallel program scalability bottleneck detection method is provided, which includes: building a program structure graph for a program source code; collecting performance data based on a sampling technique during runtime; the performance data including: performance data of each vertex of the program structure graph and inter-process communication dependence of communication vertices; building a program performance graph by filling the program structure graph with the collected performance data, the program performance graph recording data and control dependence of each process as well as inter-process communication dependence; detecting problematic vertices from the program performance graph, and starting from some or all of the problematic vertices, backtracking through data/control dependence edges within a process and communication dependence edges between different processes, to detect scalability bottleneck vertices.

Abstract: A method for early diagnosis of keratoconus based on multi-modal data considers a mutual relationship between both eyes using four refractive maps for corneas of the both eyes and absolute corneal elevation data, and combines the deep convolutional network method, the traditional support vector machine (SVM) method in machine learning, and the elevation map enhancement method with adjustable best-fit-sphere (BFS) to identify sensitivity and specificity of a focus and balance the sensitivity and specificity. With multi-dimensional comprehensive judgment of a keratoconus morbidity with a patient as a unit, combined with binocular data including both manual selection features and deep network learning from big data, the diagnosis method has higher robustness and accuracy.

Abstract: A computer executed parallel program scalability bottleneck detection method is provided, which includes: building a program structure graph for a program source code; collecting performance data based on a sampling technique during runtime; the performance data including: performance data of each vertex of the program structure graph and inter-process communication dependence of communication vertices; building a program performance graph by filling the program structure graph with the collected performance data, the program performance graph recording data and control dependence of each process as well as inter-process communication dependence; detecting problematic vertices from the program performance graph, and starting from some or all of the problematic vertices, backtracking through data/control dependence edges within a process and communication dependence edges between different processes, to detect scalability bottleneck vertices.

Abstract: This application relate to the field of electronic device technologies, and in particular, to a loudspeaker and an electronic device. Embodiments of this application are provided to resolve a technical problem of insufficient sensitivity of a loudspeaker caused by a small electromagnetic driving force that drives a voice coil to vibrate. According to a loudspeaker and an electronic device in embodiments of this application, a yoke includes a bottom part and a sleeve located on the side of the bottom part. An annular magnet is sleeved on the outer side of the sleeve. A voice coil is sleeved on the sleeve and located between the magnet and the sleeve. A damper is located in a region enclosed by the sleeve. An outer edge of the damper is connected to the voice coil, and a middle part of the damper is connected to the yoke.

Abstract: A method for early diagnosis of keratoconus based on multi-modal data considers a mutual relationship between both eyes using four refractive maps for corneas of the both eyes and absolute corneal elevation data, and combines the deep convolutional network method, the traditional support vector machine (SVM) method in machine learning, and the elevation map enhancement method with adjustable best-fit-sphere (BFS) to identify sensitivity and specificity of a focus and balance the sensitivity and specificity. With multi-dimensional comprehensive judgment of a keratoconus morbidity with a patient as a unit, combined with binocular data including both manual selection features and deep network learning from big data, the diagnosis method has higher robustness and accuracy.

Abstract: Embodiments of this application disclose a virtual machine migration method. One example method includes: indicating, by a controller, a proxy virtual machine to mount a volume; replacing, by using the proxy virtual machine, a driver of an original platform in the volume with a driver of a target platform; and then, mounting a replaced volume to a target virtual machine.

Abstract: Methods, systems, and apparatuses for unlocking a persistent region in memory are disclosed. An information handling apparatus includes a controller, a memory coupled to the controller, the memory having a persistent region that can either be locked or unlocked, and a firmware configured to determine whether the persistent region of the memory is locked, obtain a stored passphrase from a storage device if the persistent region is locked, and use the passphrase to unlock the persistent region of the memory.

Abstract: A hybrid network system, a communication method and a network node are provided.

Abstract: Provided is a user side load response method based on adjustment and control on temperature of load clusters. The user side load response method includes: performing thermodynamic modeling on a temperature control load to obtain a temperature control model in direct load control; constructing a mapping quantity to describe the change state of a temperature control load relay switch; obtaining adjustable capacity of the temperature control load through the mapping quantity; introducing temperature control load clusters to solve the problem that control precision cannot satisfy condition requirements; and finally calculating the influence of each load cluster in different load cluster control schemes on comfort degree.

Abstract: A method for controlling a main circuit of a traction system is provided. The method includes: under a braking condition, controlling a protection module to be turned off; controlling the protection module to be turned on and monitoring a first current detected by a first current sensor in a case that a rail vehicle runs on a charged third rail; and controlling the protection module to be turned off and monitoring whether the rail vehicle runs on a charged third rail in a case that the first current is less than a first preset current.