Abstract: A negative electrode plate, a battery, and a battery pack are provided. The negative electrode plate includes a negative current collector and a negative material layer disposed on a surface of the negative current collector. The negative material layer includes a hard carbon material containing primary particles and secondary particles, and the primary particles have a defect value different from that of the secondary particles. In comparison with the solution of only using one kind of hard carbon particles having the same defect value as the negative material layer, the negative electrode plate of the present disclosure includes two kinds of hard carbon particles with different defect values, which combines the excellent properties of the two kinds of hard carbon particles. Therefore the negative electrode plate has excellent properties while satisfying the requirements of a battery, such as high energy density, high first-cycle discharge efficiency, and excellent rate performance.

Abstract: The present disclosure provides a control method for a display panel, a control device thereof, and a display device. This control method includes: obtaining spatial position coordinates of a pupil of a user; determining coordinates of a gaze point in a display area of a display panel viewed by the user according to the spatial position coordinates of the pupil; determining an area range that the pupil of the user is gazing in the display area according to the spatial position coordinates of the pupil, the coordinates of the gaze point and a preset visual angle; determining a gaze area and a non-gaze area in the display area according to the area range, wherein the gaze area is adjacent to the non-gaze area; and adjusting a first gate driving signal input to the gaze area and a second gate driving signal input to the non-gaze area.

Abstract: A multiplexed line scanning LiDAR system generates a line scan of an object based on the distance of various point measurements to the object. The multiplexed line scanning LiDAR utilizes at least one set of light source emissions to a fiber optic laser element to form a line scan pattern to determine a distance and velocity of an object.

Abstract: The present invention discloses a 400 MPa corrosion-resistant steel bar and a production method thereof. The steel bar includes the following chemical ingredients: 9.5-10.4% of Cr, 1.0-1.2% of Mo, 0.3-0.6% of Mn, 0.01-1% of Ni, 0.01-0.5% of Cu, at most 0.014% of C, at most 0.004% of N, 0.01-0.05% of Nb, 0.2-0.6% of Si, and the balance of Fe, where Cr+Mo+0.5Mn+0.35Ni+0.25Cu is 11.1-12.2%, and C+N+0.3Si+Mn+1.8Nb is 0.4-0.8%.

Abstract: A multiplexed LiDAR system generates an image of an object based on the distance of various point measurements to the object. The multiplexed LiDAR utilizes at least two sets of light source emissions to a scanner to simultaneously form multiple scanning patterns that effectively increase the scanning speed, scanning area, or image pixel density of the LiDAR system.

Abstract: Systems and methods for processing machine learning attributes are disclosed. An example method includes: identifying a user transaction associated with a set of transaction attributes and a first transaction status; selecting, based on a risk evaluation model, a first plurality of transaction attributes from the set of transaction attributes; modifying a first value of a first transaction attribute in the first plurality of transaction attributes to produce a first modified plurality of transaction attributes; determining, based on the risk evaluation model, that the first modified plurality of transaction attributes identify a second transaction status different from the first transaction status; and in response to the determining, identifying the first transaction attribute as a risk attribute associated with the user transaction.

Abstract: A video image processing method includes binarizing a chrominance prediction mode of the image block of a to-be-encoded/decoded image to obtain a bit string, the bit string including two adjacent bits, the to-be-encoded/decoded image being permitted to use a CCLM and/or a regular intra-frame chrominance prediction mode, and the CCLM including a first mode, a second mode, and a third mode, and using mutually independent probability models to encode/decode a first bit and a second bit. The first bit of the adjacent bits indicates whether the CCLM is used, the second bit indicates whether to use the first mode of the CCLM when the first bit indicates to use the CCLM, the third bit indicates whether the second mode or the third mode of the CCLM is used when the second bit indicates that the first mode of the CCLM is not used.

Abstract: Various techniques are disclosed for providing dynamic, real-time pattern detection and linking between newly created user accounts and existing user accounts. Certain solutions include assessing matches of a new user account to nodes in a graphical representation of a machine learning algorithm based on predefined patterns in the properties of the new user account. The nodes in the graphical representation may each have different predefined patterns that have been determined based on patterns in previous information for user accounts, which can also be updated in real-time as needed. Accordingly, when a new user account is matched (e.g., assigned) to a node that has accounts with known issues associated with the node, the new user account may be flagged for increased scrutiny or other solutions.

Abstract: The present invention discloses a special hydraulic press for bulging pressing forming of an automobile axle housing and a pressing forming method. A hydraulic press body is a closed frame consisting of an upper cross beam, a lower cross beam, four stand columns I, II, III, and IV, four vertical pull rods I, II, III, and IV, and four transverse pull rods I, II, III, and IV, and is used for balancing a deformation force up to 3000 T in the vertical direction or the horizontal direction in the pressing forming process. During pressing forming, the downward speeds of a main hydraulic cylinder, small left and right vertical hydraulic cylinders are precisely controlled to prevent the left end, the right end and the middle of the tube blank from bending.

Abstract: Various techniques are disclosed for providing dynamic, real-time pattern detection and linking between newly created user accounts and existing user accounts. Certain solutions include assessing matches of a new user account to nodes in a graphical representation of a machine learning algorithm based on predefined patterns in the properties of the new user account. The nodes in the graphical representation may each have different predefined patterns that have been determined based on patterns in previous information for user accounts, which can also be updated in real-time as needed. Accordingly, when a new user account is matched (e.g., assigned) to a node that has accounts with known issues associated with the node, the new user account may be flagged for increased scrutiny or other solutions.

Abstract: Systems and methods for processing machine learning attributes are disclosed. An example method includes: identifying a user transaction associated with a set of transaction attributes and a first transaction status; selecting, based on a risk evaluation model, a first plurality of transaction attributes from the set of transaction attributes; modifying a first value of a first transaction attribute in the first plurality of transaction attributes to produce a first modified plurality of transaction attributes; determining, based on the risk evaluation model, that the first modified plurality of transaction attributes identify a second transaction status different from the first transaction status; and in response to the determining, identifying the first transaction attribute as a risk attribute associated with the user transaction.

Abstract: The disclosure relates to the technical field of liquid crystal display, and discloses a liquid crystal display module backlight structure which includes a light blocking tape, a FPC strip, rubber-iron layer, a reflective sheet, a light enhancement prismatic lens, a light guide plate, and a matt film layer, a first end of the matt film layer overlaps the FPC light strip and a second end overlaps the light enhancement prismatic lens; the first end is bonded to the light blocking tape and the second end is positioned between the light enhancement prismatic lens and the light guide plate.

Abstract: It is provided a power generation model based on a transcritical cycle with an increasing-pressure endothermic process using CO2-based mixture working fluids for an enhanced geothermal system, including a geothermal water circulation, a mixture working fluid circulation and a cooling water circulation. A coaxial pipe-in-pipe downhole heat exchanger is provided in the mixture working fluid circulation. Innovations are reflected in that an increasing-pressure endothermic process is achieved due to making use of gravity and hence increase a heat quantity absorbed in a cycle, thereby improving power generation quantity of the cycle; and a binary mixture working fluid composed of CO2 and an organic working fluid is adopted to realize a transcritical power cycle with an increasing-pressure endothermic process and a decreasing-temperature exothermic process, thereby effectively reducing irreversibility of a heat transfer between a working fluid and a heat source and improving power cycle efficiency.

Abstract: A bidirectional blocking monolithic heterogeneous integrated Cascode-structure field effect transistor, which mainly solves a problem that the existing monolithic heterogeneous integrated Cascode-structure field effect transistor has no reverse blocking characteristic. The field effect transistor includes a substrate, a GaN buffer layer, an AlGaN barrier layer and a SiN isolation layer, wherein an isolation groove is etched in the middle of the SiN isolation layer, a Si active layer is printed on the SiN isolation layer on one side of the isolation groove so as to prepare a Si metal oxide semiconductor field effect transistor, and a GaN high-electron-mobility transistor is prepared on the other side of the isolation groove, and a drain electrode of the GaN high-electron-mobility transistor is in Schottky contact with the AlGaN barrier layer to form a bidirectional blocking monolithic heterogeneous integrated Cascode-structure field effect transistor.

Abstract: A contribution identification method for noise at a boundary of an urban substation in the present disclosure includes the following steps: describing site elements and surrounding environmental elements of an urban substation; measuring and recording a background noise value at each boundary of the urban substation; determining an orientation of a specific sound source of the urban substation, and setting a corresponding measurement point at each boundary of the urban substation; obtaining a spectrum of each specific sound source; analyzing a contribution of each intra-substation sound source of the urban substation to noise at the boundary of the substation; analyzing a noise level of each sound source measurement point in the urban substation; recording measured data during noise measurement, and correcting a noise measurement result; and generating a test report.

Abstract: The present disclosure relates to machine learning related reject inference techniques that utilize attributes of unlabeled data samples. Specifically, the present techniques allow for machine learning based classification of data that might otherwise not be classifiable using another type of classification algorithm. This can improve computer efficiency and security. A computer system may process unlabeled data samples, using a classification model, to generate a plurality of model scores. The computer system may then classify a first unlabeled data sample into one of two categories. This classifying can include selecting a set of unlabeled data samples, from the plurality of unlabeled data samples, that have model scores exceeding a threshold, identifying a plurality of attributes of the set of unlabeled data samples that contributed to the model scores exceeding the particular threshold, and, based on the plurality of attributes, generating a new labeled data sample belonging to a particular category.

Abstract: Disclosed are a method, a device and a computer-readable storage medium for registration and login. The method includes: receiving, on a registration device side, registration information used to register a first object; performing a registration operation corresponding to the first object according to the registration information; sending the registration information to a login device that subscribes to the registration information in advance after the registration operation is successful; receiving, on a login device side, the registration information used to successfully register the first object sent by a registration device; receiving login information used to login a second object; and performing a login operation corresponding to the second object if it is determined that the login information has not been used to register the second object and the login information matches the registration information sent by the registration device.

Abstract: Systems and methods for processing machine learning attributes are disclosed. An example method includes: identifying a user transaction associated with a set of transaction attributes and a first transaction status; selecting, based on a risk evaluation model, a first plurality of transaction attributes from the set of transaction attributes; modifying a first value of a first transaction attribute in the first plurality of transaction attributes to produce a first modified plurality of transaction attributes; determining, based on the risk evaluation model, that the first modified plurality of transaction attributes identify a second transaction status different from the first transaction status; and in response to the determining, identifying the first transaction attribute as a risk attribute associated with the user transaction.

Abstract: The disclosure relates to the technical field of liquid crystal display, and discloses a liquid crystal display module backlight structure which includes a light blocking tape, a FPC strip, rubber-iron layer, a reflective sheet, a light enhancement prismatic lens, a light guide plate, and a matt film layer, a first end of the matt film layer overlaps the FPC light strip and a second end overlaps the light enhancement prismatic lens; the first end is bonded to the light blocking tape and the second end is positioned between the light enhancement prismatic lens and the light guide plate.

Abstract: Techniques are disclosed relating to multi-phase training of machine learning models using weighted training data. In some embodiments, a computer system may train a machine learning classification model in at least two phases. During an initial training phase, the computer system may train an initial version of the classification model based on a training dataset, applying equal weight to the training samples in the training dataset. The computer system may then generate model scores for the training samples using the initial version of the classification model. Based on these model scores, the computer system may generate, for the training samples, corresponding weighting values. The computer system may then perform a subsequent training phase to generate an updated version of the classification model, where, during this subsequent training phase, at least some of the training samples are weighted using their respective weighting values.