Abstract: Embodiments of the present application provide a thin film transistor, a method for fabricating the thin film transistor, and a display panel. The thin film transistor includes: a substrate; an active layer formed on the substrate; a gate insulation layer located on a side of the active layer facing away from the substrate; and a gate electrode located on a side of the gate insulation layer facing away from the active layer, where in a direction from the gate insulation layer to the substrate, the concentration of implanted ions in at least a partial region of the active layer has a decreasing trend, and the concentration of implanted ions in the gate insulation layer is less than the concentration of implanted ions in the active layer. The present application can relieve the problem of display image sticking caused by driving hysteresis of thin film transistors.

Abstract: The present disclosure provides for methods, apparatuses, and non-transitory computer-readable storage media for load balancing traffic scenarios by a network device. In an embodiment, a method includes training a plurality of learning agents to load balance a respective plurality of traffic scenarios to obtain a plurality of control policies. The method further includes performing at least one clustering iteration. Each clustering iteration includes selecting a pair of control policies and merging the pair of control policies into a clustered control policy that replaces the pair of control policies. The method further includes determining to stop the performing of the at least one clustering iteration when a quantity of control policies remaining in the plurality of control policies meets a predetermined value. The method further includes deploying to each base station of a plurality of base stations a corresponding control policy from the plurality of control policies.

Abstract: A server may obtain teacher artificial intelligence (AI) models from source base stations; obtain target traffic data from a target base station; obtain an integrated teacher prediction based on the target traffic data by integrating teacher prediction results of the teacher AI models based on teacher importance weights; obtain a student AI model that is trained to converge a student loss on the target traffic data; update the teacher importance weights to converge a teacher loss between a student prediction of the student AI model on the target traffic data, and the integrated teacher prediction of the teacher AI models on the target traffic data; update the student AI model based on the updated teacher importance weights being applied to the teacher prediction results of the teacher AI models; and predict a communication traffic load of the target base station using the updated student AI model.

Abstract: Provided is a gas showerhead with controllable airflow distribution, disposed in a cavity of a thin film deposition device and including: a first-layer panel, having a plurality of first gas supply holes distributed according to a first rule; and a second-layer panel, seated on the first-layer panel and having a plurality of second gas supply holes distributed according to a second rule. The first rule is different from the second rule, and one of the first-layer panel and the second-layer panel is capable of rotating at least by a specific angle relative to the other, so that the two panels have a first position and a second position that are different relative to each other. At the first position, none of the first gas supply holes is covered by the second-layer panel; and at the second position, a portion of the first gas supply holes are aligned with the corresponding second gas supply holes, and the other portion of the first gas supply holes are covered by the second-layer panel.

Abstract: Provided herein are methods for the continuous production of liquid polyurethane pre-polymer from pre-formed solid polyurethane articles with toluene diisocyanate composition under defined conditions. The methods include methods of producing polyurethane pre-polymers. methods of recycling pre-formed polyurethane articles. and methods of converting solid polyurethane articles into a liquid polyurethane material.

Abstract: Disclosed in the present disclosure are a CDN network request scheduling method, an electronic device, and a storage medium. The method includes: obtaining an original network request generated by the client for a target service; obtaining a first domain name rewriting rule corresponding to the target attribution information, and rewriting the original domain name by using the first domain name rewriting rule, to obtain a first domain name; updating the original domain name in the original network request by using the first domain name, to obtain a target network request; and sending the target network request to a target CDN server corresponding to the target CDN service provider identifier, so that the target CDN server obtains a target scheduling path corresponding to the target equipment room identifier, and forwards the target network request to a target equipment room according to the target scheduling path.

Abstract: A method of forecasting a future load may include: obtaining source data sets and a target data set that have been collected from a plurality of source base stations and a target base station, respectively; among a plurality of source machine learning models, selecting at least one machine learn source model that has a traffic load prediction performance higher than that of a target machine learning model through a negative transfer analysis; obtaining model weights to be applied to the target machine learning model and the selected at least one source machine learning model via an attention neural network that is jointly trained with the target machine learning model and the selected source machine learning models; obtaining a load forecasting model for the target base station by combining the target machine learning model and the selected at least one source machine learning model according to the model weights; and predicting a future communication traffic load of the target base station based on the load

Abstract: A light detection and ranging (LIDAR) system for a vehicle can include: a light source configured to output a beam; a photonics integrated circuit (PIC) including a semiconductor die, the semiconductor die comprising a substrate having two or more semiconductor devices formed on the substrate, the two or more semiconductor devices configured to receive the beam from the light source and modify the beam and at least one photonics die coupled to the semiconductor die, the at least one photonics die comprising at least a transmitter configured to receive the beam from the semiconductor die; and one or more optics configured to receive the beam from the transmitter and emit the beam towards an object in an environment of the vehicle.

Abstract: A method of forming a photonics integrated circuit (PIC) includes: growing a plurality of first layers on a substrate at a first growth stage, the plurality of first layers corresponding to a first semiconductor device of two or more different semiconductor devices that are respectively configured to receive a beam from a light source and modify one or more features of the beam; etching the substrate to remove an etched portion of the plurality of first layers; and growing a plurality of second layers on the substrate in the etched portion of the first layers at a second growth stage, the plurality of second layers corresponding to a second semiconductor device, wherein a second arrangement of the plurality of second layers differs from a first arrangement of the plurality of first layers.

Abstract: Disclosed is a method of segmented grouting for repairing aquifers in a mining area after mining. The method may include: drilling a grouting hole in a ground area corresponding to a water inflow position in a goaf; and performing a segmented grouting in a target grouting layer through the grouting hole. The segmented grouting may include: a scour and migration grouting, a splitting and diffusion grouting, and a sedimentation and compaction grouting. The scour and migration grouting may use a first slurry with a first specific gravity and a first pump volume for grouting. The splitting and diffusion grouting may use a second slurry with a second specific gravity and a second pump volume for grouting. Moreover, the sedimentation and compaction grouting may use a third slurry with a third specific gravity and a third pump volume for grouting.

Abstract: A server may be provided to obtain a load balancing artificial intelligence (AI) model for a plurality of base stations in a communication system. The server may obtain teacher models based on traffic data sets collected from the base stations, respectively; perform a policy rehearsal process including obtaining student models based on knowledge distillation from the teacher models, obtaining an ensemble student model by ensembling the student models, and obtaining a policy model by interacting with the ensemble student mode; provide the policy model to each of the base stations for a policy evaluation of the policy model; and based on a training continue signal being received from at least one of the base stations as a result of the policy evaluation, update the ensemble student model and the policy model by performing the policy rehearsal process on the student models.

Abstract: A hammering mechanism with hammering and clamping functions and a neck massage device having the same are provided. The hammering mechanism includes a driving assembly, a hammer arm assembly, a first transmission assembly for converting the rotational motion generated by the driving assembly into a piston motion, and a second transmission assembly for transmitting the rotational motion generated by the driving assembly to the hammer arm assembly. The first transmission assembly and the second transmission assembly are in transmission connection with the driving assembly, and the first transmission assembly and the second transmission assembly are in transmission connection with the hammer arm assembly. When the hammer arm assembly entirely performs a reciprocating motion within an arc area, a hammering effect is achieved, and when the hammer arm assembly reciprocates back and forth within an area of each sub-central angle, a clamping effect is achieved.

Abstract: A system includes a transmitting horn coupled to a first robotic arm and positionable in immediate non-contacting proximity to a transparency, and configured to emit an emitted signal comprising a focused energy beam for impingement on the transparency. The system further includes a receiving horn coupled to a second robotic arm and positionable relative to the transmitting horn in immediate proximity to the transparency, and configured to receive a received signal comprising at least a portion of the emitted signal after transmission through or reflection off of the transparency. The system also includes a processor configured to move the first robotic arm and the second robotic arm in a coordinated manner along a preprogrammed measurement path, and determine at least one transparency characteristic based on an analysis of the received signal.

Abstract: A method is provided for measuring and quantifying optical distortion of a transparent object using a single image. Embodiments provided herein include a method including: receiving an image of an object and a transparent object, where the object is visible through the transparent object, where a portion of the image of the object is visible through the transparent object is an inside region of interest (iROI), where a portion of the image of the object not viewed through the transparent object is an outside region of interest (oROI); determining measured pixel locations for a plurality of identified pixels in the image, the plurality of identified pixels corresponding to the distinct points in the image; calculating virtual locations in the image representing the distinct points within the iROI; determining, for respective distinct points within the iROI, differences between the virtual location and the measured pixel location.

Abstract: A server may be provided to obtain a load balancing artificial intelligence (AI) model for a plurality of base stations in a communication system. The server may obtain teacher models based on traffic data sets collected from the base stations, respectively; perform a policy rehearsal process including obtaining student models based on knowledge distillation from the teacher models, obtaining an ensemble student model by ensembling the student models, and obtaining a policy model by interacting with the ensemble student mode; provide the policy model to each of the base stations for a policy evaluation of the policy model; and based on a training continue signal being received from at least one of the base stations as a result of the policy evaluation, update the ensemble student model and the policy model by performing the policy rehearsal process on the student models.

Abstract: Apparatuses and methods for depositing platinum-group metals (PGM) on substrates in a production line. The apparatus may include: at least one movement mechanism configured to move a plurality of substrates through a deposition region of the production line; at least one alignment mechanism configured to align a plurality of deposition units with a portion of the plurality of substrates in the deposition region; and at least one control unit configured to control a flow rate of the PGM through at least one supply line to the aligned plurality of deposition units to deposit the PGM on deposition surfaces of the aligned portion of the plurality of substrates.

Abstract: A light detection and ranging (LIDAR) sensor system for a vehicle can include: a light source configured to output a beam; a photonics integrated circuit (PIC) including a semiconductor die, the semiconductor die including a substrate having two or more semiconductor stacks respectively associated with two or more semiconductor devices formed on the substrate, the two or more semiconductor devices respectively configured to receive the beam from the light source and modify one or more features of the beam; a transmitter configured to receive the beam from the semiconductor die; and one or more optics configured to receive the beam from the transmitter and emit the beam towards an object.

Abstract: A light detection and ranging (LIDAR) system for a vehicle can include: a light source configured to output a beam; a photonics integrated circuit (PIC) including a semiconductor die, the semiconductor die comprising a substrate having two or more semiconductor devices formed on the substrate, the two or more semiconductor devices configured to receive the beam from the light source and modify the beam and at least one photonics die coupled to the semiconductor die, the at least one photonics die comprising at least a transmitter configured to receive the beam from the semiconductor die; and one or more optics configured to receive the beam from the transmitter and emit the beam towards an object in an environment of the vehicle.

Abstract: A system includes a robotic arm of a robotic device, an imaging device coupled to the robotic arm, and a processor configured to control movement of the robotic arm to move the imaging device along a preprogrammed measurement path of a transparency while prompting the imaging device to record images of localized portions of the transparency. The processor is configured to determine one or more localized transparency characteristics based on an analysis of the images of the localized portions.

Abstract: A server for predicting a future traffic load of a base station is provided. The server may obtain a first prediction model based on traffic data collected from the base station for a first period of time, obtain a second prediction model based on traffic data collected from the same base station for a second period time, and also based on knowledge transferred from the first prediction model. Each of the first prediction model and the second prediction model may include an encoder module, a reconstruction module, and a prediction module which are connected to form two paths, an encoder-reconstruction path and an encoder-prediction path, to preserve more information of historic traffic data.