Abstract: An antenna is provided, and belongs to the field of communication technology and includes a first dielectric substrate, a first conductive layer, a second dielectric substrate, a second conductive layer, a third dielectric substrate and a conductive third layer which are sequentially stacked. The first conductive layer includes at least one first and second feed lines; the second conductive layer is provided with at least one first and second openings; the third conductive layer includes at least one first radiation part. Orthographic projections of any two of a first opening, a first feed line, a first radiation part corresponding to each on the other first dielectric substrate overlap with other; each an orthographic projection of a first radiation part on the first dielectric substrate intersects with that of each of a corresponding first and second feed lines on the first dielectric substrate.

Abstract: A dual-frequency antenna and an electronic device are provided, and belong to the field of communication technology. The dual-frequency antenna includes a first antenna unit and a second antenna unit opposite to each other, and a filtering unit therebetween. An operating frequency band of the first antenna unit is a first frequency band; an operating frequency band of the second antenna unit is a second frequency band; the filtering unit is configured to reflect an electromagnetic wave of the first frequency band and to transmit an electromagnetic wave of the second frequency band; the first antenna unit is configured to receive the electromagnetic wave of the first frequency band and to reflect the received electromagnetic wave of the first frequency band by the filtering unit; and the second antenna unit is configured to receive and reflect the electromagnetic wave of the second frequency band transmitted by the filtering unit.

Abstract: A five-point deconvolution method for quantification of uranium ores by energy spectrum logging disclosed by the invention refers to: carry out ? spectrum logging along the borehole to obtain logging curves in multiple energy zones, using these logging curves and energy spectrum features, inversion calculate the distribution of uranium content along the borehole; the main features are: first, realize the subdivision interpretation of layered strata; second, realize multi-element stripping for energy spectrum logging; third, realize subdivision interpretation by the five-point deconvolution methods; fourth, on-site uranium ores quantification under fast spectral logging conditions can be realized; the invention also discloses two types of algorithm flows of “first stripping, then subdividing” and “first subdividing, then stripping” and the formula for solving the uranium/thorium/potassium content of the unit layer.

Abstract: There is provided a phase shifter having a phase shift region and a peripheral region, and including a first substrate, a second substrate and a dielectric layer between such two substrates; the first substrate includes a first dielectric substrate, a first electrode and a first auxiliary structure; the second substrate includes a second dielectric substrate, a second electrode and a second auxiliary structure; the phase shift region includes overlapping regions; the first electrode and the second electrode are located in the phase shift region, and have orthographic projections, on the first dielectric substrate, overlapped at least partially in the overlapping regions; the first auxiliary structure is in the peripheral region and on a side, close to the dielectric layer, of the first dielectric substrate; the second auxiliary structure is in the peripheral region and on a side, close to the dielectric layer, of the second dielectric substrate.

Abstract: The present disclosure provides a single-channel test device. The single-channel test device includes a metal flange, and a waveguide-coaxial conversion structure and a first square straight waveguide which are disposed along a central axis of the metal flange and disposed on two opposite sides of the metal flange respectively, wherein in the case that a waveguide aperture of one end of the first square straight waveguide distal to the metal flange is placed on and is kept in close contact with a single antenna unit to be tested in a phased reflectarray to be tested, the single-channel test device is configured to test a scattering parameter of the antenna unit to be tested.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing a machine learning task on a network input to generate a network output. In one aspect, one of the systems includes a neural network configured to perform the machine learning task, the neural network including one or more expert neural network blocks that each include router that performs expert-choice routing between multiple expert neural networks.

Abstract: Provided herein is a ribonucleic acid (RNA) encoding a spike (S) protein or an immunogenic fragment thereof of a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) comprising at least one non-naturally occurring amino acid mutation. In some embodiments, the S protein is derived from a delta variant. Additionally provided are relevant polynucleotides, vectors, cells, compositions, kits, production methods and methods of use.

Abstract: The disclosure discloses Bifidobacterium longum with the ability to relieve atopic dermatitis and its application, and belongs to the technical fields of microorganisms and medicine. The Bifidobacterium longum of the disclosure has the effects of relieving atopic dermatitis, and the effects are specifically embodied in: (1) significantly improving the degree of ear swelling in mice with atopic dermatitis; (2) significantly improving skin pathological symptoms and inflammatory cell infiltration in mice with atopic dermatitis; (3) significantly reducing the serum IgE level in mice with atopic dermatitis; (4) significantly reducing the levels of IL-4 and IL-13 in the skin tissues of mice with atopic dermatitis; and (5) significantly reducing the level of histamine in the skin tissues of mice with atopic dermatitis. Therefore, the Bifidobacterium longum has great application prospects in the preparation of products for the prevention and/or treatment of atopic dermatitis.

Abstract: A method for cyclic biochemical conversion of carbon dioxide and hot gas cogeneration in depleted oil and gas reservoirs includes: S1: selecting a target depleted oil and gas reservoir; S2: adjusting a temperature of the target depleted oil and gas reservoir to 30° C. to 70° C. and detecting whether formation water of the target depleted oil and gas reservoir contains methanogenic archaea, in which if no methanogenic archaeon is contained, then methanogenic archaea is injected and step S3 is proceeded, and if methanogenic archaea are contained, then step S3 is proceeded directly; S3: injecting a mixture of carbon dioxide and hydrogen into the target depleted oil and gas reservoir through a gas injection well; and S4: shutting down the gas injection well to wait for the methanogenic archaea to convert carbon dioxide and hydrogen into methane and exploiting the methane and heat energy in the target depleted oil and gas reservoir.

Abstract: Provided are a data processing system and method based on dynamic redundancy heterogeneous encoding, and a device. The method comprises: respectively performing error correction encoding on information to be processed and a processing rule, so as to form encoded information to be processed and an encoded processing rule; processing, by using the encoded processing rule, the encoded information to be processed, so as to obtain response data; and then performing error correction decoding on N pieces of response data, so as to obtain processing result information of the information to be processed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech synthesis. The methods, systems, and apparatus include actions of obtaining an audio representation of speech of a target speaker, obtaining input text for which speech is to be synthesized in a voice of the target speaker, generating a speaker vector by providing the audio representation to a speaker encoder engine that is trained to distinguish speakers from one another, generating an audio representation of the input text spoken in the voice of the target speaker by providing the input text and the speaker vector to a spectrogram generation engine that is trained using voices of reference speakers to generate audio representations, and providing the audio representation of the input text spoken in the voice of the target speaker for output.

Abstract: An adjustable antenna array and an electronic apparatus are provided. The adjustable antenna array includes: a first substrate and a second substrate opposite to each other, and antenna sub-arrays in an array. Each of at least some antenna sub-arrays includes a phase shifter, a power division feeding network, and a plurality of radiating units. The phase shifter and the power division feeding network are between the first substrate and the second substrate. At least some radiating units are connected to the phase shifter through the power division feeding network. Antenna patterns corresponding to the plurality of radiating units at least include patterns on a side of the second substrate away from the first substrate. An area of an orthographic projection of the power division feeding network on the first substrate is smaller than an area of an orthographic projection of the phase shifter on the first substrate.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable media, for speech recognition using multi-dialect and multilingual models. In some implementations, audio data indicating audio characteristics of an utterance is received. Input features determined based on the audio data are provided to a speech recognition model that has been trained to output score indicating the likelihood of linguistic units for each of multiple different language or dialects. The speech recognition model can be one that has been trained using cluster adaptive training. Output that the speech recognition model generated in response to receiving the input features determined based on the audio data is received. A transcription of the utterance generated based on the output of the speech recognition model is provided.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.

Abstract: Disclosed are a multi-speaker overlapping voice detection method and a system. The method includes: obtaining a voice to be detected, and removing silence from the voice to be detected is removed; extracting a feature of the voice to be detected after silence removal to obtain a voice feature of the voice to be detected; and inputting the voice feature into an overlapping voice detection model to obtain an overlapping speaker number corresponding to the voice to be detected output by the overlapping voice detection model. The overlapping voice detection model is obtained by supervised training based on a voice feature of a sample voice and a corresponding label of the overlapping speaker number, extracts an embedding of the voice feature, and classifies the overlapping speaker number to obtain the overlapping speaker number of the voice to be detected based on the extracted speaker embedding.

Abstract: The present disclosure provides a radio frequency apparatus, an antenna and an electronic device, and belongs to the field of communication technology. The radio frequency apparatus includes first and second dielectric substrates opposite to each other, first and second phase shifting structures between the first and second dielectric substrates; wherein the radio frequency apparatus further includes a first connection electrode and a second connection electrode; the first phase shifting structure and the second phase shifting structure each have a first end and a second end, the first ends of the first phase shifting structure and the second phase shifting structure are electrically connected to each other by the first connection electrode; the second ends of the first phase shifting structure and the second phase shifting structure are electrically connected to each other by the second connection electrode, to form a ring circuit structure.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for performing machine learning tasks. One method includes receiving (i) a model input, and (ii) data identifying a first machine learning task to be performed on the model input to generate a first type of model output for the model input; augmenting the model input with an identifier for the first machine learning task to generate an augmented model input; and processing the augmented model input using a machine learning model, wherein the machine learning model has been trained on training data to perform a plurality of machine learning tasks including the first machine learning task, and wherein the machine learning model has been configured through training to process the augmented model input to generate a machine learning model output of the first type for the model input.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.

Abstract: Implementations relate to asymmetric quantization of large language models (LLMs). Processor(s) of a system can: obtain a trained LLM, wherein the trained LLM includes a plurality of layers, each layer comprising a respective plurality of weights; for each layer of the plurality of layers: calculate an optimal clipping range for the respective plurality of weights, and clip one or more weights of the respective plurality of weights that lie outside of the optimal clipping range to produce a clipped layer; quantize the LLM to generate a quantized LLM, wherein the instructions to quantize include instructions to map weights of the plurality of clipped layers of the LLM from continuous values to discrete values; and provide the quantized LLM for downstream processing.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech synthesis. The methods, systems, and apparatus include actions of obtaining an audio representation of speech of a target speaker, obtaining input text for which speech is to be synthesized in a voice of the target speaker, generating a speaker vector by providing the audio representation to a speaker encoder engine that is trained to distinguish speakers from one another, generating an audio representation of the input text spoken in the voice of the target speaker by providing the input text and the speaker vector to a spectrogram generation engine that is trained using voices of reference speakers to generate audio representations, and providing the audio representation of the input text spoken in the voice of the target speaker for output.