Abstract: This application discloses a content excerption method and a device, and relates to the field of terminal technologies, to provide a user with more convenient and efficient content excerption experience. In this application, an electronic device can predetermine an excerption intention of the user based on an operation used to represent an intention of the user to excerpt content on an interface, so that an interface region can be recognized and content in the interface region can be recognized and obtained in advance.

Abstract: The embodiments of the present disclosure may disclose methods and systems for information recommendation. The method for information recommendation method may include: determining a violation count corresponding to a violation behavior in historical driving behavior of a driver; determining, based on the violation behavior and its corresponding violation count, information to be recommended; and sending the information to be recommended to a driver terminal of the driver.

Abstract: A preparation device for an alloy target includes a material nozzle, a high-energy laser, and a target support substrate, the material nozzle and the high-energy laser are respectively arranged above the target support substrate. The preparation device uses the material nozzle to spray the material powder required for the alloy target to be prepared, the injection efficiency is independently adjusted to achieve the purpose of non-fixed composition of the alloy target, and the spatial position and angle of the material nozzle are independently adjusted to ensure uniform composition and density of the target, the high-energy laser beam generated by the high-energy laser is used to heat the material powder in the spraying area to form a target coating of the required composition, the target support substrate is used to support the target coating formed by the material powder.

Abstract: An all-optical neural network that utilizes light beams and optical components to implement layers of the neural network is disclosed herein. The all-optical neural network includes an input layer, zero or more hidden layers, and an output layer. Each layer of the neural network is configured to simulate linear and nonlinear operations of a conventional artificial neural network neuron on an optical signal. In an embodiment, the optical linear operation is performed by a spatial light modulator and an optical lens. The optical lens performs a Fourier transformation on the set of light beams and sums light beams with similar propagation orientations. The optical nonlinear operation is implemented utilizing a nonlinear optical medium having an electromagnetically induced transparency characteristic whose transmission of a probe beam of light is controlled by the intermediate output of a coupling beam of light from the optical linear operation.

Abstract: The present disclosure discloses a method and system for evaluating collision testing of a bottom of a battery pack and a device.

Abstract: Methods and system for music generation. One method comprises defining a phrase structure and a metrical layout, and generating a melody based on the phrase structure and the metrical layout using a probabilistic model of contour-sequences in a machine learning model. The probabilistic model includes a plurality of production rules determined by the machine learning model trained on a dataset of hierarchical analyses, and the contour-sequences defining directional patterns between musical notes extracted from the dataset of hierarchical analyses.

Abstract: A system, method, and device for visualizing network topology are disclosed. The method includes (i) automatically generating a network topology visualization of network assets for a network, and (ii) grouping the network assets into a plurality of groupings based on a set of user selected distinct criteria.

Abstract: Disclosed herein are engineered AAV VP capsid polypeptides with the ability to assemble into virus particles and having improved tissue tropism to eye tissues, for example, retinal tissues, retinal pigment epithelial cells, or photoreceptor cells. The capsids are engineered using the high throughput discovery system described herein. In certain embodiments, provided herein are recombinant adeno-associated virus (AAV) VP capsid polypeptides having at least one mutation in a 581 to 589 region of the VP capsid polypeptide, corresponding to residues 581 to residue 589 of a VP1 polypeptide of SEQ ID NO: 1.

Abstract: A method of modeling enhancer activity obtains a training dataset in electronic form. The dataset comprises a plurality of training enhancers and, for each such enhancer, a corresponding measured amount of activity of the enhancer in each of one or more states. Each enhancer is a tandem repeat. A model comprising a plurality of parameters is trained by inputting each training enhancer into the model. Upon input, the model applies the parameters to the training enhancer to generate, as model output, a corresponding predicted activity of the training enhancer for a first state of the one or more states. The plurality of parameters is refined based differentials between corresponding measured and predicted amounts of activity in the first state for each of the training enhancer. A plurality of test enhancers is generated using the trained model and their activity tested thereby modeling enhancer activity.

Abstract: Systems and methods for generating a polymer sequence for a biological molecule having one or more target biological properties are provided. A plurality of target metric values for one or more target biological properties of a biological molecule and a seed for a nucleic acid or amino acid sequence for the biological molecule are inputted into a conditional generator model of a conditional generative adversarial network to obtain as output from the conditional generator model a nucleic acid or amino acid sequence for the biological molecule that is predicted by the conditional generator model to confer on the biological molecule the one or more target biological properties approximating the plurality of target metric values.

Abstract: The present disclosure relates to a PointEFF method for urban object classification with LiDAR point cloud data, and belongs to the field of LiDAR point cloud classification. The method comprises: point cloud data segmentation; End-to-end feature extraction layer construction; External feature fusion layer construction; and precision evaluation.

Abstract: A suspended self-balancing self-cruising online water quality monitoring device, an online water quality monitoring method, and an online water quality assessment method are provided. The device includes a suspension cabin main body, a communication and control system, and a suspended carrying platform configured for self-balancing attitude adjustment. Suspension feet configured to drive the suspension cabin main body to implement self-balancing attitude adjustment, cruising, or fixed-point suspension are arranged outside the suspension cabin main body. The communication and control system is configured to plan a W-shaped water-region cruising path and sampling points thereon according to a topography of a water region, control the water sample testing device to test quality of water along the sampling points online, assess water quality of the water region according to an online testing result, and output the water quality of the water region.

Abstract: Provided herein are methods for target gene sequencing and single cell barcoding in conjunction with analysis of gene expression in single cells. In some embodiments, the target gene is an immune molecule, such as an antibody or TCR. In some embodiments, the methods can be used to carry out transcriptome sequencing, e.g., RNA sequencing, to capture transcriptome of single cells paired with full receptor immune receptor sequences such that information about the immune repertoire and transcriptome of a cell can be determined. Also provided are polynucleotide libraries for use in carrying out transcriptome analysis and immune molecule, e.g., antibody or TCR, sequencing.

Abstract: Provided are B cell-activating factor receptor (BAFF-R)-binding molecules, in particular, to human antibodies specific for BAFF-R, including antibody fragments. The present disclosure further relates to recombinant receptors, including chimeric antigen receptors (CARs) that contain such antibodies or fragments, and polynucleotides that encode the antibodies, antigen-binding fragments or receptors specific for BAFF-R. Also provided are CARs which contain extracellular binding domains that bind to BAFF-R and B-lymphocyte antigen CD19 (CD19), genetically engineered cells expressing such CARs, and uses thereof in adoptive cell therapy.

Abstract: Techniques are described herein that are capable of reducing interrupts using buffering for data processing. In a first example, information is received at an operating system from an application. The information indicates multiple buffers, including a triggering buffer to trigger an interrupt from hardware. Portions of the data are stored in the respective buffers. A schedule for processing the buffers is provided to the hardware. The schedule indicates that the interrupt is to be delayed until the triggering buffer is processed by the hardware. In a second example, a network interface controller is configured to provide one interrupt to the operating system for each of multiple subsets of network packets that is processed by the network interface controller. Each subset includes a number of the network packets that is greater than one. The network packets are associated with a common network socket.

Abstract: Provided are binding molecules, such as TCRs or antigen binding fragments thereof and antibodies and antigen-binding fragments thereof, such as those that recognize or bind human papilloma virus (HPV) 16, including HPV 16 E6 and HPV 16 E7. Also provided are engineered cells containing such binding molecules, compositions containing the binding molecules or engineered cells, and methods of treatment, such as administration of the binding molecules, engineered cells, or compositions.

Abstract: A weight determining method and a related apparatus, to reduce a beam gain loss caused by a beam selection deviation are described. The method includes receiving an uplink reference signal and obtaining a channel reciprocity parameter between an uplink channel and a downlink channel based on the uplink reference signal. The method further includes determining state information of the downlink channel based on the channel reciprocity parameter, carrier frequency information of the uplink channel, and carrier frequency information of the downlink channel. Moreover, the method includes determining a weight of a downlink reference signal based on the state information of the downlink channel.

Abstract: The present disclosure relates to a PointEFF method for urban object classification with LiDAR point cloud data, and belongs to the field of LiDAR point cloud classification. The method comprises: point cloud data segmentation; End-to-end feature extraction layer construction; External feature fusion layer construction; and precision evaluation.

Abstract: A ceramic substrate includes: (a) 10 to 70 wt % of silicon carbide; (b) 6 to 60 wt % of aluminum oxide; (c) 5 to 45 wt % of silicon dioxide; and (d) 0 to 15 wt %, excluding 0, of glass powder. Each component is provided as a raw material. A weight percentage of each component is based on a mass percentage of each component.

Abstract: A ceramic substrate is provided. A thickness of the ceramic substrate ranges from 1 to 4 mm, and a thermal conductivity of the ceramic substrate ranges from 0.8 to 2.5 W/m·k. In an embodiment, the thickness of the ceramic substrate ranges from 1.5 to 3 mm. In an embodiment, the thermal conductivity of the ceramic substrate ranges from 1.0 to 2.0 W/m·k.