Abstract: A system for precisely locating abnormal areas of brain fiber bundles. The system extracts fiber connections of the whole brain from diffusion magnetic resonance data, and fiber bundle pathways extracts through self-defined fiber bundle pathways or based on brain fiber bundle templates. A selected fiber bundle pathway is projected on a fiber connection result of the whole brain and finely segmented. The imaging indexes such as fractional anisotropy, mean diffusivity, intra-neurite volume fraction and orientation dispersion index are calculated from diffusion magnetic resonance data, so as to obtain the imaging index of each node of each fiber bundle pathway. These imaging indexes are configured to classify the disease group and the healthy group by a machine learning method, and which nodes on which fiber bundle pathways have abnormal changes with different diseases can be precisely located.

Abstract: A method for controlling voltage output is disclosed. The method is used to control a power supply module to provide a required operating voltage to a display panel, and a display frame of the display panel comprises a plurality of sequential row driving periods, each row driving period comprising a charging period and a non-charging period, wherein during the charging period, a connection between a data line and a corresponding row of sub-pixels is enabled so that data voltages are written into the corresponding sub-pixels. The method comprises controlling the power supply module to output an operating voltage at a preset first operating frequency during a display of a picture to be displayed, wherein a time period during which the power supply module outputs the operating voltage to the display panel does not overlap with the charging period of each row driving period.

Abstract: Provided herein is a technology for an Autonomous Vehicle Cloud System (AVCS). This AVCS provides sensing, data fusion, prediction, decision-making, and/or control instructions for specific vehicles at a microscopic level based on data from one or more of other vehicles, roadside unit (RSU), cloud-based platform, and traffic control center/traffic control unit (TCC/TCU). Specifically, the AVs can be effectively and efficiently operated and controlled by the AVCS. The AVCS provides individual vehicles with detailed time-sensitive control instructions for fulfilling driving tasks, including car following, lane changing, route guidance, and other related information. The AVCS is configured to predict individual vehicle behavior and provide planning and decision-making at a microscopic level. In addition, the AVCS is configured to provide one or more of virtual traffic light management, travel demand assignment, traffic state estimation, and platoon control.

Abstract: A thin-film transistor structure and an electronic device are provided. The thin-film transistor structure includes a first transistor and a second transistor. A potential of the signal input electrode of the first transistor is greater than that of the signal receiving component, and the first transistor is turned on; and a potential of the signal input electrode of the second transistor is less than that of the signal receiving component, and the second transistor is turned on; and an overlapping area of the signal output electrode of the first transistor and the etching barrier layer is greater than that of the signal input electrode of the first transistor and the etching barrier layer; and an overlapping area of the signal input electrode of the second transistor and the etching barrier layer is larger than that of the signal output electrode of the second transistor and the etching barrier layer.

Abstract: A light beam processor includes a first light beam amplifying apparatus, a second light beam amplifying apparatus, and a light source generating apparatus. The light source generating apparatus is configured to emit a light source beam to the first light beam amplifying apparatus. The first light beam amplifying apparatus is configured to perform an initial amplification on the light source beam to obtain an amplified light beam. The second light beam amplifying apparatus is configured to perform a secondary amplification on the amplified light beam to obtain a target light beam. The target light beam is used as an output light beam of the light beam processor.

Abstract: The present disclosure relates to a color temperature adjustment effect detection method and apparatus, a computer device, a storage medium, and a computer program product. A second terminal sends a real standard color temperature to a first terminal, so that the first terminal acquires an actual used color temperature based on the real standard color temperature. Through the first terminal, the actual used color temperature is converted into a target matrix, and the target matrix is embedded into a video frame to obtain an embedded image. Through the first terminal, the embedded image is displayed based on the actual used color temperature, and the embedded image is sent to the second terminal, so that the second terminal parses the embedded image to obtain the actual used color temperature, and acquires an actual rendered color temperature based on a display result of the first terminal.

Abstract: A method for multi-time scale reactive voltage control based on reinforcement learning in a power distribution network is provided, which relates to the field of power system operation and control. The method includes: constituting an optimization model for multi-time scale reactive voltage control in a power distribution network based on a reactive voltage control object of a slow discrete device and a reactive voltage control object of a fast continuous device in the power distribution network; constructing a hierarchical interaction training framework based on a two-layer Markov decision process based on the model; setting a slow agent for the slow discrete device and setting a fast agent for the fast continuous device; and deciding action values of the controlled devices by each agent based on measurement information inputted, so as to realize the multi-time scale reactive voltage control while the slow agent and the fast agent perform continuous online learning.

Abstract: The invention provides systems and methods for a function-based computing power allocation system (FCPAS), which is a component of an Intelligent Road Infrastructure System (IRIS). The FCPAS incorporates advanced computing capabilities that effectively allocate computational power for prediction, planning, and decision making functions. Specifically, through the FCPAS, an AV can acquire additional computational resources for vehicle prediction, planning, and decision-making functions, thereby enabling safe and efficient autonomous driving. Additionally, tailored to different traffic scenarios, the FCPAS can allocate data and computational resources (including but not limited to CPU and GPU) for vehicle automation.

Abstract: A micro-fluidic detection device includes a first base plate, a second base plate opposite to the first base plate, and a droplet travel layer located between the first and second base plates. The first base plate includes a first substrate, a drive array layer, a first electrode layer, and a first hydrophobic layer. The second base plate includes a second substrate, a second electrode layer, and a second hydrophobic layer. Drive electrodes of the first electrode layer are at first units. The first unit includes a micro-fluidic unit circuit. A second unit includes a detection unit circuit. The detection unit circuit includes inorganic transistors and organic transistors. A sensitive electrode is at the second unit. The sensitive electrode is on a side of a layer where the inorganic transistor is located away from the first substrate. A first hollow hole of the first base plate exposes the sensitive electrode.

Abstract: A network threat intelligence relational triple combined extraction method based on deep learning includes: (a) an entity and a relation are both extracted by using a combined extraction method, which solves the problem of a lack of interaction between entity and relation extraction tasks; (b) a problem of entity overlapping is solved by using a method based on a span; (c) a BERT large-scale pre-training model is used for vector representation of a text; and because the pre-training model includes contextual information learned from a large-scale corpus, semantic expression on a threat intelligence text by the model can be extremely enriched; and (d) various modal information, for example, time sequences, dependency relations, the spans, labels, and the like, is fused to enhance the interaction between multimodal information.

Abstract: A lithium supplement electrode plate and a preparation method thereof, a battery containing the lithium supplement electrode plate, and an electrical device are disclosed. The lithium supplement electrode plate includes a current collector and a coating region disposed on at least one side of the current collector. The coating region includes at least two active layers. The at least two active layers include a pore-forming agent. Two adjacent active layers that include the pore-forming agent are defined as a first active layer and a second active layer respectively, the first active layer is disposed on the current collector, the second active layer is disposed on one side, oriented away from the current collector, of the first active layer. A porosity of the second active layer is greater than a porosity of the first active layer.

Abstract: Systems and methods described herein relate to automatic index recommendations for improved database query performance. Candidate indexes are identified. The candidate indexes are associated with a database query that is classified as a slow query. A feature vector is generated for each candidate index to represent statement features and statistical features associated with the candidate index. The feature vectors are provided to one or more machine learning models to obtain an index recommendation value for each candidate index. An index recommendation is presented at a user device. The index recommendation identifies a first index of the candidate indexes based at least partially on the index recommendation value obtained for the first index. User input indicative of a user selection of the first index is received. A database schema is updated to include the first index in response to the user input.

Abstract: A positive electrode plate includes a current collector and a lithium supplement layer and a positive active layer that are sequentially loaded onto a surface of the current collector, and constituents of the lithium supplement layer include a positive electrode lithium supplement material, a solid electrolyte material, and a conductive agent.

Abstract: A display module, an assembly method of the display module and a display apparatus are provided, which belongs to the technical field of displaying, and the display module includes: a cover plate, a side of which including a first area and a second area adjacently connected to the first area; a display panel attached to the first area; and a spacer attached to a part or all of the second area, a height of the spacer being greater than a height of the display panel. The spacer includes a housing and an injection cavity recessed into interior of the housing, the injection cavity is close to the display panel and the injection cavity is filled with an injection material; and a space cavity is provided at a side of the display panel close to the spacer, and the space cavity is filled with the injection material.

Abstract: The present disclosure provides a display panel, a method for preparing the same, and a display device. The display panel includes pixel units distributed in an array in a display area, where the pixel units include sub-pixels, at least one of which has a maximum grayscale value voltage different from a maximum grayscale value voltage of the other sub-pixel; and a switching circuit including switching units on a side of the display area, where one end of the switching unit is connected to a data line. In two adjacent columns of pixel units, two sub-pixels having the same maximum grayscale value voltage are connected to two adjacent switching units through data lines, respectively.

Abstract: A tuning method for active metamaterials using IGZO Schottky diodes, wherein the IGZO Schottky diode comprises a substrate, a Schottky electrode, amorphous IGZO active layer, and an ohmic electrode from the bottom up. The method comprises steps as follows: (1) Metamaterials are used as the Schottky electrodes, and amorphous IGZO active layers are used to fully cover the capacitive gap structures in the metamaterials; such capacitive structures in the metamaterials are bonded to the amorphous IGZO active layers to form Shottky barriers; (2) The resulting IGZO Schottky diodes from step (1) are used to tune the metamaterials dynamically.

Abstract: Display panel, driving method thereof and display device are provided. The display panel includes a display area and a non-display area. The display area includes a plurality of pixel units and a plurality of gate lines electrically connected to the plurality of pixel units. The non-display area includes a boost circuit including a plurality of boost units. A boost unit of the plurality of the boost units includes a charging module, a bootstrap module, and an initialization module that are electrically connected. The bootstrap module at least includes a first module and a first capacitor.

Abstract: A system for predicting disease with graph convolutional neural network based on multimodal magnetic resonance imaging, which extracts the radiomics information of multiple brain regions across modals as the features of nodes from multimodal magnetic resonance data, and extracts the connectomics information between brain regions to form an adjacency matrix. T1-weighted structural images extract cortical information through cortical reconstruction, and resting-state magnetic resonance data are used to calculate amplitude of low frequency fluctuations, regional homogeneity and functional connectivity. Through multimodal data preprocessing, image index extraction and structured data integration, multimodal unstructured magnetic resonance image data are integrated into unified graph-structured data, and the disease is predicted by a graph convolutional neural network method.

Abstract: Provided are a driver board, a display panel, and a display apparatus. The driver board includes a driver circuit. The driver circuit includes N pixel electrodes, N pixel switches, a data switch, and a storage capacitor, N is a positive integer, and N?2. The storage capacitor includes a reference electrode and a counter electrode. A control terminal of the pixel switch receives a gating signal, a first terminal of the pixel switch is connected to the counter electrode, and a second terminal of the pixel switch is connected to the pixel electrode. The driver board further includes data lines, and each data line is connected to the counter electrode via the data switch.

Abstract: A display device includes: a display panel; and a polarizer, an optical adhesive, and a cover plate sequentially arranged on the display panel. The display panel has a transparent region. The polarizer has first and second surfaces parallel to each other, and the first surface is proximal to the display panel. The polarizer has therein a through hole penetrating through the first and second surfaces. The through hole has first and second boundaries at the first and second surfaces, respectively. An orthogonal projection of the first boundary on the second surface is inside and not in contact with the second boundary. For third and fourth boundaries of the through hole parallel to the first boundary, an orthogonal projection of the third boundary on the fourth boundary does not extend beyond the fourth boundary, the third boundary being closer to the first boundary than the fourth boundary.