Abstract: A semiconductor structure and a preparation method therefor, which relate to the field of semiconductor technology. The semiconductor structure includes a substrate, a source layer, a drain layer, a channel layer, a gate structure, a gate dielectric layer, and a dielectric layer. The source layer and the drain layer are stacked disposed on the substrate. The channel layer is located between the source layer and the drain layer. The gate structure is located on a side wall of the channel layer. The gate dielectric layer is located between the gate structure and the channel layer. A portion of the dielectric layer is arranged between the source layer and the gate structure. The source layer has a plurality of depressions extending towards the substrate, and the channel layer is partially filled into the depressions and electrically connected to the source layer.

Abstract: A method for performing real-time data binning of spectrometer data includes receiving, at a digitizer including hardware and software and from a mass spectrometer, first scan data associated with a first scan from a plurality of scans. The method also includes receiving, at the digitizer and from the mass spectrometer, second scan data associated with a second scan from the plurality of scans. The method also includes combining (e.g., summing) the first scan data and the second scan data via the digitizer, to produce first summed scan data. The method also includes modifying, via the hardware of the digitizer, the first summed scan data based on a predefined intensity threshold, to produce second summed data. The method also includes analyzing, via the digitizer, the second summed data to identify a composition of a sample associated with the plurality of scans.

Abstract: Aspects of the disclosure relate to novel antibody and antigen binding fragments. Further aspects relate to polypeptides comprising the antigen binding fragment(s) of the disclosure, and compositions comprising the polypeptides, antibodies, and/or antigen binding fragments of the disclosure. Also described are nucleic acids encoding an antibody or antigen binding fragment of the disclosure. In particular embodiments, the disclosure provides immunological compositions that target TdT peptides, including those associated with HLA-A2. Specific embodiments allow for detection, diagnosis, treatment, and prevention of cancer in an individual in need thereof.

Abstract: In implementations of systems for estimating three-dimensional trajectories of physical objects, a computing device implements a three-dimensional trajectory system to receive radar data describing millimeter wavelength radio waves directed within a physical environment using beamforming and reflected from physical objects in the physical environment. The three-dimensional trajectory system generates a cloud of three-dimensional points based on the radar, each of the three-dimensional points corresponds to a reflected millimeter wavelength radio wave within a sliding temporal window. The three-dimensional points are grouped into at least one group based on Euclidean distances between the three-dimensional points within the cloud. The three-dimensional trajectory system generates an indication of a three-dimensional trajectory of a physical object corresponding to the at least one group using a Kalman filter to track a position and a velocity a centroid of the at least one group in three-dimensions.

Abstract: Described are systems and methods to determine hair patterns presented in content items. The determined hair patterns may be associated with the content items to facilitate indexing, filtering, etc. of the content items based on the determined hair patterns. In exemplary implementations, a corpus of content items may be associated with an embedding vector that includes a binary representation of the content item. The embedding vectors associated with each content item can be provided as inputs to a trained machine learning model, which can process the embedding vectors to determine one or more hair patterns presented in each content item while eliminating the need for performing image pre-processing prior to determination of the hair pattern(s) presented in the content item.

Abstract: An energy-saving strategy formulation method for a semi-automatic production line based on model predictive control is performed as follows. max-plus algebra model is constructed, based on which an optimization objective function with the WIP products as discrete elements and sleep start moment and sleep end moment of the automated device as control variables is established. A first unoptimized WIP product is substituted into the optimization objective function, and the optimization objective function is solved to obtain an optimal sequence, in which a first set of values is output as optimization result. Whether all WIP products have been optimized is determined, and if yes, an energy-saving strategy is generated and used to control the automated device, otherwise, the optimization result is treated as disturbance information to be incorporated into the modeling. An energy-saving strategy formulation system is also provided.

Abstract: The present invention relates to an auditing system for a built environment of an age-friendly street based on multisource big data. The auditing system includes: a data acquisition module is configured to acquire urban streetscape image data, urban road network data and urban point-of-interest data; a data classification auditing module is configured to acquire the data of the data acquisition module, classify the image data, and process the image data by using a data processing method to acquire evaluated numerical values of different types of indexes; a data summary analysis module is configured to acquire the evaluated numerical values of the data classification auditing module, calculate sub-item index numerical values of each output unit and calculate result data according to the sub-item index numerical values; a audit result output module is configured to acquire the result data of the data summary analysis module and visualize and output the result data.

Abstract: An energy-saving strategy formulation method for a semi-automatic production line based on model predictive control is performed as follows. max-plus algebra model is constructed, based on which an optimization objective function with the WIP products as discrete elements and sleep start moment and sleep end moment of the automated device as control variables is established. A first unoptimized WIP product is substituted into the optimization objective function, and the optimization objective function is solved to obtain an optimal sequence, in which a first set of values is output as optimization result. Whether all WIP products have been optimized is determined, and if yes, an energy-saving strategy is generated and used to control the automated device, otherwise, the optimization result is treated as disturbance information to be incorporated into the modeling. An energy-saving strategy formulation system is also provided.

Abstract: Described are systems and methods to determine hair patterns presented in content items. The determined hair patterns may be associated with the content items to facilitate indexing, filtering, etc. of the content items based on the determined hair patterns. In exemplary implementations, a corpus of content items may be associated with an embedding vector that includes a binary representation of the content item. The embedding vectors associated with each content item can be provided as inputs to a trained machine learning model, which can process the embedding vectors to determine one or more hair patterns presented in each content item while eliminating the need for performing image pre-processing prior to determination of the hair pattern(s) presented in the content item.

Abstract: Described are systems and methods to determine hair patterns presented in content items. The determined hair patterns may be associated with the content items to facilitate indexing, filtering, etc. of the content items based on the determined hair patterns. In exemplary implementations, a corpus of content items may be associated with an embedding vector that includes a binary representation of the content item. The embedding vectors associated with each content item can be provided as inputs to a trained machine learning model, which can process the embedding vectors to determine one or more hair patterns presented in each content item while eliminating the need for performing image pre-processing prior to determination of the hair pattern(s) presented in the content item.

Abstract: Described are systems and methods to determine hair patterns presented in content items. The determined hair patterns may be associated with the content items to facilitate indexing, filtering, etc. of the content items based on the determined hair patterns. In exemplary implementations, a corpus of content items may be associated with an embedding vector that includes a binary representation of the content item. The embedding vectors associated with each content item can be provided as inputs to a trained machine learning model, which can process the embedding vectors to determine one or more hair patterns presented in each content item while eliminating the need for performing image pre-processing prior to determination of the hair pattern(s) presented in the content item.

Abstract: In implementations of systems for estimating three-dimensional trajectories of physical objects, a computing device implements a three-dimensional trajectory system to receive radar data describing millimeter wavelength radio waves directed within a physical environment using beamforming and reflected from physical objects in the physical environment. The three-dimensional trajectory system generates a cloud of three-dimensional points based on the radar, each of the three-dimensional points corresponds to a reflected millimeter wavelength radio wave within a sliding temporal window. The three-dimensional points are grouped into at least one group based on Euclidean distances between the three-dimensional points within the cloud. The three-dimensional trajectory system generates an indication of a three-dimensional trajectory of a physical object corresponding to the at least one group using a Kalman filter to track a position and a velocity a centroid of the at least one group in three-dimensions.

Abstract: In implementations of systems for estimating three-dimensional trajectories of physical objects, a computing device implements a three-dimensional trajectory system to receive radar data describing millimeter wavelength radio waves directed within a physical environment using beamforming and reflected from physical objects in the physical environment. The three-dimensional trajectory system generates a cloud of three-dimensional points based on the radar, each of the three-dimensional points corresponds to a reflected millimeter wavelength radio wave within a sliding temporal window. The three-dimensional points are grouped into at least one group based on Euclidean distances between the three-dimensional points within the cloud. The three-dimensional trajectory system generates an indication of a three-dimensional trajectory of a physical object corresponding to the at least one group using a Kalman filter to track a position and a velocity a centroid of the at least one group in three-dimensions.

Abstract: Provided are a display panel and a display device. The display panel includes a first display area and a second display area. The first display area at least partially surrounds the second display area, and the second display area is configured to provide a photosensitive element. The first display area and the second display area are each provided with multiple sub-pixels. Each of the multiple sub-pixels includes a pixel circuit and a light emitting element. In each of the first display area and the second display area, active layers of the pixel circuits of the sub-pixels in each column have discontinuity points. The discontinuity point is located between respective two adjacent sub-pixels in the same column, or is located within each sub-pixel.

Abstract: In implementations of systems for estimating three-dimensional trajectories of physical objects, a computing device implements a three-dimensional trajectory system to receive radar data describing millimeter wavelength radio waves directed within a physical environment using beamforming and reflected from physical objects in the physical environment. The three-dimensional trajectory system generates a cloud of three-dimensional points based on the radar, each of the three-dimensional points corresponds to a reflected millimeter wavelength radio wave within a sliding temporal window. The three-dimensional points are grouped into at least one group based on Euclidean distances between the three-dimensional points within the cloud. The three-dimensional trajectory system generates an indication of a three-dimensional trajectory of a physical object corresponding to the at least one group using a Kalman filter to track a position and a velocity a centroid of the at least one group in three-dimensions.

Abstract: The disclosure discloses an inhomogeneous sample equalization method and system for a product assembly process. The method includes the following steps of: A: calculating a similarity among different samples; B: constructing a fuzzy compatibility matrix S for representing the similarity among all the samples, and constructing a fuzzy compatibility space X with different granule layers through the fuzzy compatibility matrix S; C: based on a granular calculating mode, screening out a granule layer with a maximum comprehensive value of an information increment and the similarity among the samples from the fuzzy compatible space X to serve as an optimal granule layer; and D: carrying out equalization processing on the sample of the optimal granule layer.

Abstract: Provided are a display panel and a display device. The display panel includes a first display area and a second display area. The first display area at least partially surrounds the second display area, and the second display area is configured to provide a photosensitive element. The first display area and the second display area are each provided with multiple sub-pixels. Each of the multiple sub-pixels includes a pixel circuit and a light emitting element. In each of the first display area and the second display area, active layers of the pixel circuits of the sub-pixels in each column have discontinuity points. The discontinuity point is located between respective two adjacent sub-pixels in the same column, or is located within each sub-pixel.

Abstract: Provided are a display panel and a display device. The display panel includes a first display area and a second display area. The first display area at least partially surrounds the second display area, and the second display area is configured to provide a photosensitive element. The first display area and the second display area are each provided with multiple sub-pixels. Each of the multiple sub-pixels includes a pixel circuit and a light emitting element. In each of the first display area and the second display area, active layers of the pixel circuits of the sub-pixels in each column have discontinuity points. The discontinuity point is located between respective two adjacent sub-pixels in the same column, or is located within each sub-pixel.

Abstract: Disclosed are a self-adaptive configuration method and system for linkage response of a construction type, a motion type, a control type and an optimization type. The disclosure aims to provide the self-adaptive configuration method and system for linkage response of quick adjustment and design of a workshop production line. The self-adaptive configuration method comprises the following steps of step A: construction type configuration; step B: motion type design; step C: control type design; and step D: optimization type evolution, wherein the step D comprises first-level iterative optimization, second-level iterative optimization and third-level iterative optimization.

Abstract: A method, apparatus and system for processing a payment request for a virtual commodity on an open network platform are provided. The method includes: receiving a payment request that is sent by a third-party application server according to a request from a terminal, the payment request carrying at least an account identifier; deducting a charge from an account corresponding to the account identifier according to a payment attribute corresponding to the account identifier; and sending a charge deduction result corresponding to the account to the terminal via the third-party application server. According to the present method, usage rate of network and system resources is improved.