Abstract: The present application provides a method for analyzing droplets on the basis of volume distribution including obtaining a total volume V of a sample containing target molecules based on a system prepared using the sample. The system is emulsified into droplets. A droplet system is obtained when the droplets obtaining the sample executes an amplification reaction. A droplet image of the droplet system is obtained. A total number n of droplets included in the droplet system is obtained based on the droplet image. A droplet volume distribution of the droplet system is obtained based on the droplet image. A number j of negative droplets among the n droplets is counted. A quantitative analysis is performed for the target molecules according to the total volume V of the sample, the total number n of droplets, the droplet volume distribution information, and the number j of negative droplets.

Abstract: The present disclosure provides a driving method for a liquid crystal display panel and a non-transitory computer storage medium. The driving method includes: for the plurality of sub-pixels, adopting a first gray-level table for displaying a picture in other frame pictures other than a first frame picture in each of the plurality of predetermined periods, the first gray-level table including a plurality of first gray-level values; and adopting a second gray-level table for displaying a picture in the first frame picture in each of the plurality of predetermined periods, the second gray-level table including a plurality of second gray-level values.

Abstract: Presented herein is a stage area for “focused” video that is configured to allow for dynamic layout changes during an online video conference or meeting. By providing a user interface environment that allows a user (meeting participant) to customize the stage, each participant can choose their own view, and the meeting host can fully customize a view for every participant in the meeting.

Abstract: Imaging systems and techniques are described. An imaging system determines, based on image data of a scene received from an image sensor, a first plurality of pixel values corresponding to a first electromagnetic (EM) frequency domain and a second plurality of pixel values corresponding to a second EM frequency domain. The imaging system reduces the first plurality of pixel values using a plurality of cross-domain contamination values (based on the second plurality of pixel values) to generate a third plurality of pixel values. The imaging system determines a reconstructed pixel value based on a combination of at least an overexposed pixel value of the first plurality of pixel values and a corresponding pixel of the third plurality of pixel values. The imaging system outputs a reconstructed image that includes the reconstructed pixel value and a subset of the third plurality of pixel values.

Abstract: An electrical device having a terminal region for connection with a printed circuit board. The terminal region has a stranded wire and an enclosure piece surrounding the stranded wire. The enclosure piece is connected with the stranded wire, for example, by thermal diffusion bonding.

Abstract: Disclosed herein are neural networks for generating target classifications for an object from a set of input sequences. Each input sequence includes a respective input at each of multiple time steps, and each input sequence corresponds to a different sensing subsystem of multiple sensing subsystems. For each time step in the multiple time steps and for each input sequence in the set of input sequences, a respective feature representation is generated for the input sequence by processing the respective input from the input sequence at the time step using a respective encoder recurrent neural network (RNN) subsystem for the sensing subsystem that corresponds to the input sequence. For each time step in at least a subset of the multiple time steps, the respective feature representations are processed using a classification neural network subsystem to select a respective target classification for the object at the time step.

Abstract: Systems and methods are provided for the accurate reproduction during simulation of distributed systems, such as vehicle-based processing systems. In a simulation, the execution times of individual tasks are aligned to those of a recorded process. Data consumed during the recorded process is also consumed during the corresponding portion of the simulation, and data generated during the simulation is associated with timing data from data generated during the recorded processes.

Abstract: The disclosure discloses a bionic digestive tract as well as a preparation method and application thereof, belonging to the field of bionic technologies and the field of biological technologies. The bionic digestive tract of the disclosure is prepared by mixing a base material (one or more of silica gel, latex and hydrogel) and auxiliary materials (silicone oil and a curing agent) in a certain mass ratio (the mass ratio of the base material to the silicone oil to the curing agent is 100:(0.5 to 10):(0.5 to 3.5)). The simulation performance of the bionic digestive tract is excellent, has strong consistency with a true human digestive tract in terms of performance, structure and function, can simulate the true states of food, drugs and microorganisms in a digestive system, and has great application prospects in the research process of food and drugs.

Abstract: A method for denoising magnetic resonance images and data is disclosed herein. An example method includes receiving a series of MRF images from a scanning device; identifying one or more subsets of voxels for the series of MRF images; generating one or more sets of eigenvectors, each set of the one or more sets of eigenvectors corresponding to one of the one or more subsets of voxels, and each eigenvector of the one or more sets of eigenvectors having a corresponding eigenvalue; applying a noise distribution model to each of the eigenvalues; identifying a subset of the eigenvalues as corresponding to noise based on the noise distribution model; and reconstructing the series of MRF images without the subset of eigenvalues identified as corresponding to noise.

Abstract: The disclosure discloses a bionic digestive tract as well as a preparation method and application thereof, belonging to the field of bionic technologies and the field of biological technologies. The bionic digestive tract of the disclosure is prepared by mixing a base material (one or more of silica gel, latex and hydrogel) and auxiliary materials (silicone oil and a curing agent) in a certain mass ratio (the mass ratio of the base material to the silicone oil to the curing agent is 100:(0.5 to 10):(0.5 to 3.5)). The simulation performance of the bionic digestive tract is excellent, has strong consistency with a true human digestive tract in terms of performance, structure and function, can simulate the true states of food, drugs and microorganisms in a digestive system, and has great application prospects in the research process of food and drugs.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating object detection predictions from a neural network. In some implementations, an input characterizing a first region of an environment is obtained. The input includes a projected laser image generated from a three-dimensional laser sensor reading of the first region, a camera image patch generated from a camera image of the first region, and a feature vector of features characterizing the first region. The input is processed using a high precision object detection neural network to generate a respective object score for each object category in a first set of one or more object categories. Each object score represents a respective likelihood that an object belonging to the object category is located in the first region of the environment.

Abstract: The present disclosure is directed to combining the strengths of different methods of analyzing collected sensor data to updating a driving pattern of an automated vehicle (AV). This may include combining data from sets of data that track movement of objects over time with instantaneously received sensor data based on a series of steps that include accessing data that tracks the motion of objects in the field of view of a sensing apparatus, receiving current sensor data that includes a component of current or instantaneous object motion, and identifying whether controls of AV should be maintained or changed. When controls of the AV are maintained, an AV may be controlled to stay in driving in a same lane of a roadway at a same velocity. When controls of an AV are changed, changes may include applying, increasing a velocity, or altering the course of the AV.

Abstract: Systems and methods are provided for the realistic simulation of distributed systems, such as vehicle-based processing systems. A statistical property of message timestamps of a plurality of prior messages from one or more recorded processes is determined. During a simulation, messages that are generated are associated with timing data based on the statistical property from the recorded processes.

Abstract: A method for denoising magnetic resonance images and data is disclosed herein. An example method includes receiving a series of MRF images from a scanning device; identifying one or more subsets of voxels for the series of MRF images; generating one or more sets of eigenvectors, each set of the one or more sets of eigenvectors corresponding to one of the one or more subsets of voxels, and each eigenvector of the one or more sets of eigenvectors having a corresponding eigenvalue; applying a noise distribution model to each of the eigenvalues; identifying a subset of the eigenvalues as corresponding to noise based on the noise distribution model; and reconstructing the series of MRF images without the subset of eigenvalues identified as corresponding to noise.

Abstract: An electrical device having a stranded wire contact. The device includes a stranded wire with individual wires and a contact piece for electrical contacting of the stranded wire. The stranded wire contact is produced by thermal diffusion bonding.

Abstract: The present invention provides a vehicle bus-based communication method and apparatus, a computer device and a storage medium. The vehicle bus-based communication method includes: monitoring data flows transmitted through a vehicle bus by vehicle electronic control units; determining undetected data flows in to-be-obtained data flows when the monitoring reaches a first time length; broadcasting data flow obtaining requests through the vehicle bus, the data flow obtaining requests specifying queries for the undetected data flows; and obtaining data flows that are fed back through the vehicle bus in response to the data flow obtaining requests. When data flows of a vehicle are obtained through a vehicle bus, data flows on the vehicle bus are first obtained in a monitoring manner, thereby ensuring data flow obtaining efficiency.

Abstract: An intelligent vacuum cleaning and dust collecting apparatus includes a robotic vacuum cleaner and a dust collector. The robotic vacuum cleaner includes a housing, an infrared receiving assembly, a dust bin assembly, host charging elastic pieces, a driving motor, running wheels, and a sweeping assembly. The sweeping assembly includes a sweeping shaft and a sweeping brush, and a communication transmitting light is disposed inside the housing. The dust collector includes a dust collector body, four groups of infrared emitting lights, virtual wall signal lights, dust collector charging elastic pieces, and a dust collector assembly, and a communication receiving light is disposed on a bottom portion of the dust collector body.

Abstract: Systems and methods are provided for the configurable simulation of distributed systems, such as vehicle-based processing systems. Simulations may be performed in various modes in which the timing of operations is based on timing observed in real-world instances or other recorded processes. In one simulation mode, the execution times of individual tasks are aligned to those of a recorded process. Data consumed during the recorded process is also consumed during the corresponding portion of the simulation, and data generated during the simulation is associated with timing data from data generated during the recorded processes. In another simulation mode, data generated during the simulation is associated with timing data based on a statistical analysis of timing data from one or more recorded processes. The various simulation modes, and a production mode for real-word instances, may be provided via a unified application programming interface.

Abstract: A method for performing magnetic resonance fingerprinting includes acquiring a plurality of MR image datasets using at least two pulse sequence types, the plurality of MR image datasets representing signal evolutions for image elements in a region of interest, comparing the plurality of MR image datasets to a dictionary of signal evolutions to identify at least one parameter of the MR image datasets and generating a report indicating the at least one parameter of the MR image datasets.

Abstract: Apparatus, methods, and other embodiments associated with NMR fingerprinting are described. One example NMR apparatus includes an NMR logic that repetitively and variably samples a (k, t, E) space associated with an object to acquire a set of NMR signals that are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. Sampling is performed in response to a diffusion-weighted double-echo pulse sequence. Sampling acquires transient-state signals of the double-echo sequence. The NMR apparatus may also include a signal logic that produces an NMR signal evolution from the NMR signals, and a characterization logic that characterizes a resonant species in the object as a result of comparing acquired signals to reference signals.