Abstract: The embodiment of the present disclosure provides a display substrate including a plurality of gate lines and a plurality of data lines. The plurality of gate lines each extend along a first direction, and the plurality of data lines each extend along a second direction. The plurality of data lines are spatially crossed with the plurality of gate lines to define a plurality of pixel regions, and at least one sub-pixel is provided in each of the plurality of pixel regions. At least three sub-pixels adjacent to each other along the second direction form one of a plurality of pixels. All the sub-pixels within one of the plurality of pixels are coupled to a same data line of the plurality of data lines.

Abstract: An array substrate includes a base substrate, including a display area and a peripheral area; a driving circuit layer, located at one side of the base substrate and including a plurality of data lines and a plurality of scanning lines, where the plurality of data lines extend along a first direction and are arranged at intervals along a second direction, the plurality of scanning lines extend along the second direction and are arranged at intervals along the first direction, and the data line and the scanning line intersect with each other to define a plurality of sub-pixel areas; and a metal layer, located at one side of the driving circuit layer away from the base substrate, where the metal layer includes a plurality of metal blocks arranged at intervals, and the metal block is located at an intersection of the data line and the scanning line.

Abstract: Embodiments described herein provide a method of image generation. The method includes a fixed diffusion model, and a trainable diffusion model. The fixed diffusion model may be pretrained on a large training corpus. The trainable diffusion model may be used to control the image generation of the fixed diffusion model by modifying internal representations of the fixed diffusion model. A task instruction may be provided in addition to a text prompt, and the task instruction may guide the trainable diffusion model together with the visual conditions. The visual conditions may be adapted according to the task instruction. During training, a fixed number of task instructions may be used. At inference, unseen task instructions may be used by combining convolutional kernels of the visual condition adapter.

Abstract: The present disclosure discloses a harmonic reducer with conjugate cycloidal profiles, including a circular spline, a flexspline, a wave generator and a flexible bearing. A profile of the circular spline and a profile of the flexspline are conjugate cycloidal profiles. The profile of the circular spline and the profile of the flexspline are formed by hypocycloids and epicycloids formed by two rolling circles around a pitch circle of the circular spline and a pitch circle of the flexspline under an engaging state respectively. A sum of radii of the first rolling circle and the second rolling circle is equal to a difference between radii of the pitch circle of the circular spline and the pitch circle of the flexspline under the engaging state. The wave generator is a biarc cam wave generator, a cam curve is an arc within an angle of contact in the long axis direction.

Abstract: The present invention discloses the low-stress niobium nitride (NbN) superconducting thin film and preparation method and application thereof. The preparation method includes the following steps: providing the metal Nb target and the Si-based substrates, fixing the Si-based substrate at room temperature, adjusting the mass flow ratio of N2/Ar to 20%-50%, the sputtering power to 50-400 W and the deposition pressure to 3.0-10.0 mTorr, NbN superconducting thin films with a stress range of-500 MPa˜500 MPa and a thickness of 70-150 nm were deposited on Si-based substrates. By synergistically controlling the mass flow rate ratio of N2/Ar, sputtering power, and deposition pressure, low stress NbN superconducting thin films can be easily and efficiently prepared. The stress range of the prepared NbN superconducting thin films meets the preparation requirements of superconducting dynamic inductance detectors, and can be mass-produced.

Abstract: Provided is an inference method employing a prompt-based meta-learning network and a computer system. The inference method includes selecting a task, generating a prompt key for the selected task using a prompt-embedding network (PEN), calculating similarities between the prompt key for the selected task and prompt keys included in a prompt key pool (PKP), acquiring a prompt value for the selected task using a memory network (MN), and generating an inference result for the selected task using a model-agnostic meta-learning (MAML)-based pre-trained model (MPM).

Abstract: Disclosed are a detection circuit and apparatus based on equipotential shielding. A first connection end of a row control circuit, configured to be connected to a row lead of an array piezoresistive sensor; a control end of the row control circuit, connected to a main control chip for outputting a control signal; a second connection end of the row control circuit, connected to a first power supply terminal; and a row pull-up resistor, with an end connected to the row lead and another end connected to a second power supply terminal. Herein, each row lead corresponds to one row pull-up resistor; each column lead of the array piezoresistive sensor is connected to an input end of an inverse adder; an output end of the inverse adder is connected to a first connection end of the column control circuit.

Abstract: The invention discloses a blockchain-based intrusion detection system for railway signal, which is built on a blockchain's distributed chain structure, without a central, trusted control center. This design mitigates the vulnerabilities associated with centralized intrusion detection centers. Additionally, by utilizing a blockchain-based distributed structure, it also eliminates the risk of a single point of failure for the intrusion detection center. Moreover, the data within the blockchain-based intrusion detection system is highly resistant to malicious tampering. This is achieved by leveraging the consensus mechanism inherent in the blockchain, which can achieve consensus among intrusion detection nodes. The current invention solves the internal evil attacks and avoid the inability to reach consensus between nodes due to internal evil, thereby affecting the intrusion detection performance; at the same time, the intrusion detection model can resist external network attacks.

Abstract: Provided herein are the pharmaceutical combination comprising an embryonic ectoderm development (EED) inhibitor and one or more anticancer reagents, and the use of the combination in the treatment of a disease. Provided also is a pharmaceutical composition or a kit comprising the combination.

Abstract: Provided is a method for identifying a gaze behavior in a three-dimensional space, comprising: acquiring eye movement data of the two eyes of a user; selecting, from the collected eye movement data, eye movement data for gaze behavior identification; calculating eye movement angular velocities, determining gaze point data corresponding to the gaze behavior; combining pieces of gaze point data, which satisfy a time proximity condition and a space proximity condition at the same time, in the gaze point data so as to obtain a gaze duration and the 3D coordinates of gaze points; and based on the combined pieces of gaze point data, determining a gaze point at which the gaze duration is longer than a second set duration, thereby identifying the gaze behavior.

Abstract: The disclosure provides a method, apparatus, electronic device, and storage medium for controlling a user state. In some embodiments, the disclosure provides a method for controlling the user state. The method is applied to collaborative office software and includes: determining, for a user of the collaborative office software, at least one user state as a preset user state in advance; cancelling activation of a further automatically activated user state during an activation period of the preset user state; or suspending activation of a further automatically activated user state during the activation period of the preset user state. The method in embodiments of the disclosure prevents the automatically activated user state from replacing the preset user state, thereby improving the user experience.

Abstract: Embodiments described herein provide a feedback based instructional image editing framework that employs a diffusion process to follow user instruction for image editing. A diffusion model is fine-tuned using a reward model, which may be trained via human annotation. The training of the reward model may be done by having the image editing model output a number of images, which a human annotator ranks based on their alignment with the original image and a given instruction.

Abstract: A method of cleaning residue containing ruthenium (Ru) residue on at least one surface of a component of a semiconductor processing chamber is provided. The residue is exposed to a Ru cleaning composition comprising at least one of hypochlorite and 03 based chemistries, wherein the Ru cleaning composition removes the Ru residue.

Abstract: The invention discloses a blockchain-based intrusion detection system for railway signal, which is built on a blockchain's distributed chain structure, without a central, trusted control center. This design mitigates the vulnerabilities associated with centralized intrusion detection centers. Additionally, by utilizing a blockchain-based distributed structure, it also eliminates the risk of a single point of failure for the intrusion detection center. Moreover, the data within the blockchain-based intrusion detection system is highly resistant to malicious tampering. This is achieved by leveraging the consensus mechanism inherent in the blockchain, which can achieve consensus among intrusion detection nodes. The current invention solves the internal evil attacks and avoid the inability to reach consensus between nodes due to internal evil, thereby affecting the intrusion detection performance; at the same time, the intrusion detection model can resist external network attacks.

Abstract: The present disclosure relates to a backlight module and a display device. The backlight module comprises: a lamp panel comprising a first surface and a second surface opposite to each other, the first surface comprising a light source array, and the second surface comprising a light source array driving circuit and an external terminal; a first back plate connected with the lamp panel at a side of the second surface of the lamp panel, and comprising first avoiding openings corresponding to the light source array driving circuit and the external terminal; a second back plate connected with the first back plate at a side of the first back plate away from the lamp panel, and comprising a second avoiding opening corresponding to the external terminal.

Abstract: The present disclosure provides methods and apparatuses for multi-screen management. In some implementations, a plurality of connection requests may be received from a plurality of screen devices respectively. A screen host unit corresponding to each screen device may be created. A connection of each screen host unit to a corresponding screen device may be established. Screen display data may be transmitted, by at least one screen host unit, to at least one corresponding screen device through at least one corresponding connection respectively. Moreover, in some implementations, a connection request may be transmitted to a screen management hub. A connection to a corresponding screen host unit created by the screen management hub may be established. Screen display data may be received from the screen host unit through the connection. The screen display data may be displayed.

Abstract: Provided is an exploration method based on reward decomposition in multi-agent reinforcement learning. The exploration method includes: generating a positive reward estimation model through neural network training based on training data including states of all agents, actions of all the agents, and a global reward true value; generating, for each of the agents, a first individual utility function based on the global reward true value and generating a second individual utility function using the positive reward estimation model; and determining an action of each of the agents using the first individual utility function and the second individual utility function based on the state of each of the agents.

Abstract: The present application relates to a heat treatment unit, in particular a cooling hood, including a chamber with an inlet opening through which a gaseous cooling medium can be fed to the chamber, and a slot-shaped outlet opening through which the gaseous cooling medium can be discharged faster. The chamber includes a central chamber segment and a first and a second outer chamber segment extending from the central chamber segment, and both outer chamber segments have a cross-section tapering proportionally towards their distal ends, and a device for the heat treatment of hot-rolled long steel products.

Abstract: Disclosed herein are a motion-based virtual-reality simulator device and a method for controlling the same. The motion-based virtual-reality simulator device includes a virtual-reality interface for outputting virtual reality content in a form of multi-sense data that is perceptible by a user, a virtual-reality movement implementation unit including a track component for performing continuous track motion in a state in which a user gets on the track component, the track component being configured such that a slope of the track component is controlled while a surface of the track component is deformed into an even surface or an uneven surface, and an interworking control unit for outputting a control signal to the virtual-reality movement implementation unit so that a slope and a surface of the track component are deformed in accordance with the virtual reality content that is output through the virtual-reality interface.

Abstract: The present disclosure provides a photoelectric physiological signal acquiring and processing device including a light source, a photoelectric sensing device, an acquisition unit, an analog-to-digital device, and a microprocessing unit. The acquisition unit includes a current-to-voltage conversion module, a filtering device, and an amplification circuit. The photoelectric sensing device acquires a light transmitted through or reflected by the light source through the human physiological signal acquisition site, and converts it into a current signal. The current-to-voltage conversion module converts the current signal into a voltage signal, the filtering device and the amplification circuit process the voltage signal in sequence, the analog-to-digital device converts a processed voltage signal into a digital signal, and the physiological signal is obtained by the microprocessing unit.