Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations that make use of decision analyses. The decision analyses sometimes include segmentation analyses and/or odds ratio analyses.

Abstract: The present application discloses a virtual object driving method, an apparatus, an electronic device and a readable storage medium, which relate to technical fields of artificial intelligence and deep learning. A specific implementing solution is as follows: obtaining a target image of a real object acquired by a camera when the real object makes a limb movement; inputting the target image into a coordinate acquisition model to obtain coordinates of a plurality of key points on a limb of the real object; determining a posture of the limb of the real object according to coordinates of each key point; driving, according to the posture of the real object, a virtual object displayed on a screen to present the limb movement of the real object. The method greatly reduces operation complexity and cost consumption when driving a virtual image.

Abstract: The present disclosure provides a computer-implemented method for translating an image and a computer-implemented method for training an image translation model. In the computer-implemented method for translating an image, an image translation request carrying an original image is obtained. The original image is processed to generate a pre-translated image, a mask image and a deformation parameter. The original image is deformed based on the deformation parameter to obtain a deformed image. The deformed image, the pre-translated image and the mask image are merged to generate a target translated image.

Abstract: Disclosed herein include systems, devices, and methods for grouping sequence reads and collapsing families of sequence reads that originate from the same DNA molecules using UMIs.

Abstract: The present disclosure provides a video dubbing method, an apparatus, a device, and a storage medium. The method includes: when receiving an audio recording start trigger operation for a first time point of a target video and starting from a video picture corresponding to the first time point, playing the target video based on a timeline and receiving audio data based on the timeline; and when receiving an audio recording end trigger operation for a second time point, generating an audio recording file. The audio recording file has a linkage relationship with a timeline of a video clip taking the video picture corresponding to the first time point as a starting frame and taking a video picture corresponding to the second time point as an ending frame.

Abstract: A method for animation synthesis includes: obtaining an audio stream to be processed and a syllable sequence, wherein both the audio stream and the syllable sequence correspond to the same text and each syllable in the syllable sequence is pinyin of each character of the text; obtaining a phoneme information sequence of the audio stream by performing phoneme detection on the audio stream, wherein each piece of phoneme information in the phoneme information sequence comprises a phoneme category and a pronunciation time period; determining a pronunciation time period corresponding to each syllable in the syllable sequence based on the syllable sequence, phoneme categories and pronunciation time periods in the phoneme information sequence; and generating an animation video corresponding to the audio stream based on the pronunciation time period corresponding to each syllable in the syllable sequence and an animation frame sequence corresponding to each syllable.

Abstract: This document relates to natural language processing using a framework such as a neural network. One example method involves obtaining a first document and a second document and propagating attention from the first document to the second document. The example method also involves producing contextualized semantic representations of individual words in the second document based at least on the propagating. The contextualized semantic representations can provide a basis for performing one or more natural language processing operations.

Abstract: A method for translating an image, a method for training an image translation model, and related electronic devices are proposed. In the method for translating an image, an image translation request carrying an original image is obtained. A down-sampled image is generated by down sampling the original image. A pre-translated image, a mask image, and deformation parameters are generated based on the down-sampled image. A size of the pre-translated image and a size of the mask image are the same as a size of the original image. A deformed image is obtained by deforming original image based on the deformation parameters. The deformed image, the pre-translated image and the mask image are fused to generate a target translation image.

Abstract: A driving circuit for a switched capacitor converter having first and second switched capacitor branches, where the first switched capacitor branch includes first and second switch groups connected between an input voltage and a reference ground, the second switched capacitor branch includes third and fourth switch groups connected between the input voltage and the reference ground, and where each switch group includes an upper power switch and a lower power switch, the driving circuit comprising: a plurality of drivers configured to correspondingly drive each power switch in the switched capacitor converter; a bootstrap capacitor that provides a power supply voltage for each driver that is configured to drive the upper power switches that are connected to the input voltage of the switched capacitor converter; and where a charging voltage for charging the bootstrap capacitor is not greater than the input voltage of the switched capacitor converter.

Abstract: The present disclosure discloses a control circuit, a control method and a voltage regulator. The technical solution provided by embodiments of the present disclosure can be extended to N*M phase applications by connecting N multi-phase power converters in a voltage regulator in parallel in an interleaving manner and controlling M-phase power stage circuits in each multi-phase power converter to be connected in parallel in an interleaving manner, thereby effectively achieving multi-phase interleaving control and reducing output voltage ripples.

Abstract: The disclosure provides a method for estimating the nondirectional wave spectrum from the sea echoes of multiple HF radar frequencies. The method includes: dividing the radar detection area into a plurality of fan-shaped units at an equal range interval and angle interval according to the distance resolution and the angular resolution of an HF radar; obtaining the Doppler spectrum from the sea echo of a single radar frequency at a fan-shaped unit by performing the first fast Fourier transform (FFT) in distance dimension, the second FFT in Doppler frequency dimension and the digital beamforming; extracting the positive first-order peak and the negative first-order peak from the aforementioned Doppler spectrum by the peak-searching method; and selecting the stronger first-order peak ?R(1)(?) ; dividing the second-order spectrum on the stronger first-order peak side into an inner second-order spectrum and an outer second-order spectrum.

Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations that make use of decision analyses. The decision analyses sometimes include segmentation analyses and/or odds ratio analyses.

Abstract: An inductor current reconstruction circuit of a power converter can include: a switching current sampling circuit configured to acquire at least one of a current flowing through a main power transistor and a current flowing through a rectifier transistor to generate a switching current sampling signal; an inductor current generating circuit configured to generate a reconstruction signal representing an inductor current in one complete switching cycle; and where the reconstruction signal comprises the switching current sampling signal and a current analog signal generated according to the switching current sampling signal and an inductor voltage signal representing a voltage across an inductor in the power converter.

Abstract: The disclosed embodiments concern methods, systems and computer program products for determining sequences of interest using unique molecular indexes (UMIs) that are uniquely associable with individual polynucleotide fragments, including sequences with low allele frequencies or long sequence length. In some implementations, the UMIs include variable-length nonrandom UMIs (vNRUMIs). Methods and systems for making and using sequencing adapters comprising vNRUMIs are also provided.

Abstract: Provided are a method for processing automobile image data, an apparatus, and a readable storage medium. The method includes training a preset adversarial network according to automobile image sample data obtained by collecting and preset random noise information, to obtain a trained adversarial network for generating automobile image data; and inputting the automobile image sample data into the trained adversarial network, and generating the automobile image data including a variety of the random noise information, according to a preset generation target, wherein the automobile image data are configured to train an automobile image recognition neural network to perform automobile image recognition. Therefore, the automobile image data that may be used to train an automobile image recognition neural network are generated by using the adversarial network, which amplifies the amount of data, and reduces the cost of obtaining data.

Abstract: A power converter can include: first and second terminals; N A-type switching power stage circuits, each having a first energy storage element, where N is a positive integer, a first terminal of a first A-type switching power stage circuit in the N A-type switching power stage circuits is coupled to the first terminal of the power converter, and a second terminal of each of the N A-type switching power stage circuits is coupled to the second terminal of the power converter; one B-type switching power stage circuit; and N second energy storage elements, each being coupled to one of the N A-type switching power stage circuits, and the B-type switching power stage circuit is coupled between a terminal of one of the N second energy storage elements corresponding to the B-type switching power stage circuit and the second terminal of the power converter.

Abstract: A voltage regulator can include: an input port with two terminals, and being configured to receive an input voltage; an output port with two terminals, and being configured to generate an output voltage, where the input port and the output port have a common ground potential; a group of input switches coupled in series between the two terminals of the input port, where a common node of every two adjacent input switches that form an input half-bridge topology is taken as an input switch node; at least one output half-bridge topology coupled between two terminals of the output port, where a common node of a high-side output switch and a low-side output switch in each output half-bridge topology is taken as an output switch node; and N storage capacitors, where each of the storage capacitors is coupled between one input switch node and one output switch node.

Abstract: A block chain-based short message verification method that includes a client randomly generating a sequence number and encrypting the sequence number; the client sending a mobile phone number and the encrypted sequence number to a service end; the service end sending the mobile phone number and the encrypted sequence number to a short message operation end to store same in an intelligent contract of a block chain; the short message operation end randomly generating a verification code and sending the verification code to the client; the short message operation end encrypting the verification code and correspondingly storing a mobile phone number, the encrypted sequence number and the encrypted verification code into the intelligent contract of the block chain. Said method can prevent a server and a short message operator from impersonating a user for short message verification before the user performs verification, thereby improving the security of short message verification.

Abstract: A switching power supply circuit can include: a high-frequency switch network configured to generate a high-frequency AC signal by performing high-frequency chopping on a low-frequency AC input signal; a transformer configured to receive the high-frequency AC signal at a primary winding thereof, to perform a voltage conversion on the high-frequency AC signal, and to generate an output signal at a secondary winding of the transformer; and a rectifier module configured to generate a DC signal by rectifying the output signal at the secondary winding of the transformer.

Abstract: This document relates to natural language processing using a framework such as a neural network. One example method involves obtaining a first document and a second document and propagating attention from the first document to the second document. The example method also involves producing contextualized semantic representations of individual words in the second document based at least on the propagating. The contextualized semantic representations can provide a basis for performing one or more natural language processing operations.