Abstract: Embodiments of the present invention provide a divide-and-conquer algorithm which divides expanded data into a cluster of machines. Each portion of data is used to train logistic classification models in parallel, and then combined at the end of the training phase to create a single ordinal model. The training scheme removes the need for synchronization between the parallel learning algorithms during the training period, making training on large datasets technically feasible without the use of supercomputers or computers with specific processing capabilities. Embodiments of the present invention also provide improved estimation and prediction performance of the model learned compared to the existing techniques for training models with large datasets.

Abstract: The present disclosure relates to a scan signal driver circuit. The scan signal driver circuit includes: a scan signal drive module, where a clock signal input terminal of the scan signal drive module is coupled to a clock signal line; and a gating module, where the gating module includes a control terminal, a first input terminal, a second input terminal, and an output terminal, the control terminal receives a control signal, the first input terminal receives a clock signal, the second input terminal receives a touch electrode drive signal, and the output terminal is connected to the clock signal line; in a touch stage of a frame time of the display panel, the control signal instructs the output terminal to be coupled to the second input terminal such that the clock signal line receives the touch electrode drive signal.

Abstract: Embodiments of the technology described programmatically decrease the number of spam Uniform Resource locators (URLs) that are accessed from untrusted domains when the subdomain prefix is above a threshold probability of having been randomly generated. In this regard, prior to adding a discovered set of URLs to a crawl queue of a web crawler, the URLs are filtered into URLs from trusted domains and untrusted domains determined by a statistical model. The trusted domain URLs are added to the crawl queue, and the remaining URLs are sandboxed to filter out spam URLs. The subdomain prefixes of the sandboxed URLs are applied to a neural network to determine the probability that the subdomain prefixes are randomly generated. When a subdomain prefix is above a threshold probability of having been randomly generated, the subdomain is determined to be a spam subdomain and can be blocked.

Abstract: A touch chip, a touch control testing method and an electronic device are provided. The touch chip is applied to a touch display panel including a plurality of touch-sensing channels. The touch chip includes a plurality of analog-to-digital conversion circuits electrically connected to the plurality of touch-sensing channels of the touch display panel in one-to-one correspondence.

Abstract: The present disclosure relates to a scan signal driver circuit. The scan signal driver circuit includes: a scan signal drive module, where a clock signal input terminal of the scan signal drive module is coupled to a clock signal line; and a gating module, where the gating module includes a control terminal, a first input terminal, a second input terminal, and an output terminal, the control terminal receives a control signal, the first input terminal receives a clock signal, the second input terminal receives a touch electrode drive signal, and the output terminal is connected to the clock signal line; in a touch stage of a frame time of the display panel, the control signal instructs the output terminal to be coupled to the second input terminal such that the clock signal line receives the touch electrode drive signal.

Abstract: The present disclosure discloses a method for detecting single strand breaks (SSBs) in DNA based on the following steps. First, DNA of interest is fragmented with a method that generates 3? ends that cannot be tailed. Second, the available 3? ends of the fragmented DNA corresponding to the pre-existing breaks are tailed. Third, SSBs are captured and their positions are identified genome-wide based on the following steps: (1) the tailed fragments are linearly amplified using a chimeric 5?-DNA-RNA-3? primer; (2) the products of primer extension are tailed at the 3? ends; (3) the desired products are amplified by PCR with oligonucleotides containing Illumina® adaptor sequences complementary to both tails and subjected to next-generation sequencing (NGS); 4) finally, positions of SSBs are revealed through the analysis of sequencing results.

Abstract: Embodiments of the present invention provide a divide-and-conquer algorithm which divides expanded data into a cluster of machines. Each portion of data is used to train logistic classification models in parallel, and then combined at the end of the training phase to create a single ordinal model. The training scheme removes the need for synchronization between the parallel learning algorithms during the training period, making training on large datasets technically feasible without the use of supercomputers or computers with specific processing capabilities. Embodiments of the present invention also provide improved estimation and prediction performance of the model learned compared to the existing techniques for training models with large datasets.

Abstract: An optical apparatus and an augmented reality device are provided. The optical apparatus includes an inner surface. The inner surface includes a predetermined region serving as a curved mirror with a predetermined optical parameter for reflection imaging of a virtual image of a virtual world. The optical apparatus further includes an outer surface. The outer surface and the inner surface are used for refraction imaging of a real image of a real world. The virtual image and the real image are integrated for forming a scene of augmented reality.

Abstract: Embodiments of the present invention provide a divide-and-conquer algorithm which divides expanded data into a cluster of machines. Each portion of data is used to train logistic classification models in parallel, and then combined at the end of the training phase to create a single ordinal model. The training scheme removes the need for synchronization between the parallel learning algorithms during the training period, making training on large datasets technically feasible without the use of supercomputers or computers with specific processing capabilities. Embodiments of the present invention also provide improved estimation and prediction performance of the model learned compared to the existing techniques for training models with large datasets.

Abstract: One example packet processing device includes a buffer, and the packet processing device obtains a to-be-measured packet. In response to determining that occupied storage space in the buffer is less than a preset threshold, the packet processing device reads the to-be-measured information from the buffer, and modifies, based on the to-be-measured information and a first algorithm, a pieces of data in first measurement data corresponding to the to-be-measured packet, where a is a positive integer. In response to determining that occupied storage space in the buffer is greater than or equal to a preset threshold, the packet processing device modifies, based on to-be-measured information and a second algorithm, w pieces of data in second measurement data corresponding to the to-be-measured packet, where w is a positive integer, and w is less than a.

Abstract: The present disclosure discloses a method for detecting single strand breaks (SSBs) in DNA based on the following steps. First, DNA of interest is fragmented with a method that generates 3? ends that cannot be tailed. Second, the available 3? ends of the fragmented DNA corresponding to the pre-existing breaks are tailed. Third, SSBs are captured and their positions are identified genome-wide based on the following steps: (1) the tailed fragments are linearly amplified using a chimeric 5?-DNA-RNA-3? primer; (2) the products of primer extension are tailed at the 3? ends; (3) the desired products are amplified by PCR with oligonucleotides containing Illumina adaptor sequences complementary to both tails and subjected to next-generation sequencing (NGS); 4) finally, positions of SSBs are revealed through the analysis of sequencing results.

Abstract: One example packet processing device includes a buffer, and the packet processing device obtains a to-be-measured packet. In response to determining that occupied storage space in the buffer is less than a preset threshold, the packet processing device reads the to-be-measured information from the buffer, and modifies, based on the to-be-measured information and a first algorithm, a pieces of data in first measurement data corresponding to the to-be-measured packet, where a is a positive integer. In response to determining that occupied storage space in the buffer is greater than or equal to a preset threshold, the packet processing device modifies, based on to-be-measured information and a second algorithm, w pieces of data in second measurement data corresponding to the to-be-measured packet, where w is a positive integer, and w is less than a.

Abstract: An optical apparatus and an augmented reality device are provided. The optical apparatus includes an inner surface. The inner surface includes a predetermined region serving as a curved mirror with a predetermined optical parameter for reflection imaging of a virtual image of a virtual world. The optical apparatus further includes an outer surface. The outer surface and the inner surface are used for refraction imaging of a real image of a real world. The virtual image and the real image are integrated for forming a scene of augmented reality.

Abstract: A method for eliminating background noises in shear waves and the respective ultrasonic imaging system, the method includes: transmitting a push pulse along a push pulse vector; transmitting a first group of focus track pulses at a first group of a plurality of locations far away from the push pulse vector; receiving a first group of focus echo signals in response to the first group of focus track pulses; and processing the first group of focus echo signals to determine a first group of tissue displacement information varying with time.

Abstract: A method for eliminating background noises in shear waves and the respective ultrasonic imaging system, the method includes: transmitting a push pulse along a push pulse vector; transmitting a first group of focus track pulses at a first group of a plurality of locations far away from the push pulse vector; receiving a first group of focus echo signals in response to the first group of focus track pulses; and processing the first group of focus echo signals to determine a first group of tissue displacement information varying with time.