Abstract: Electrochemistry-based systems and methods for capturing carbon dioxide from ambient air and other carbon dioxide sources are disclosed.

Abstract: We queried DNA from saliva or plasma of 93 HNSCC patients, searching for somatic mutations or human papillomavirus genes, collectively referred to as tumor DNA. When both plasma and saliva were tested, tumor DNA was detected in 96% (95% CI, 84% to 99%) of 47 patients. The fractions of patients with detectable tumor DNA in early- and late-stage disease were 100% (n=10) and 95% (n=37), respectively. Saliva is preferentially enriched for tumor DNA from the oral cavity, whereas plasma is preferentially enriched for tumor DNA from the other sites. Tumor DNA in the saliva and plasma is a valuable biomarker for detection of HNSCC.

Abstract: A method for purifying biological dust suppressant by two-stage ultrafiltration is provided, which utilizes the differences of physical characteristics such as solubility and molecular morphology of each substance in fermentation broth to separate and purify the target product by two-stage ultrafiltration. Firstly, the fermentation broth is centrifugally pretreated to separate insoluble substances such as microbial cells; after centrifugation, the supernatant passes through a primary ultrafiltration membrane, and the polysaccharide, lactic acid and aggregated biological dust suppressant molecules with molecular weights more than 20 kilodaltons are cut off; organic solvents such as methanol and ethyl acetate are added to the retentate for dilution, further filtering is carried out with ultrafiltration membrane with a cutoff molecular weight more than 10 kilodaltons to obtain liquid product, and finally preparing solid purified product is conducted through rotary evaporation and constant temperature drying.

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: Provided herein are methods and materials for detecting and/or treating subject (e.g., a human) having cancer. In some embodiments, methods and materials for identifying a subject as having cancer (e.g., a localized cancer) are provided in which the presence of member(s) of two or more classes of biomarkers are detected. In some embodiments, methods and materials for identifying a subject as having cancer (e.g., a localized cancer) are provided in which the presence of member(s) of at least one class of biomarkers and the presence of aneuploidy are detected. In some embodiments, methods described herein provide increased sensitivity and/or specificity in the detection of cancer in a subject (e.g. a human).

Abstract: A method for diagnosing rotor rub-impact in a rotating machinery based on vibration signal deconstruction and frequency modulation characteristic anti-noise enhancement, including: converting, based on two-stage integration transformation and high-pass filtering, vibratory acceleration signals from a rotating machinery device into vibratory displacement signals; performing targeted extraction on a rotating frequency component therein based on an improved variational mode decomposition method; calculating and estimating instantaneous fluctuation characteristics of a fundamental frequency of the extracted rotating frequency component using a quadrature-derivative-based normalized Hilbert transform to obtain an instantaneous frequency; inputting a calculated instantaneous frequency sequence into an optimum stochastic resonance system for anti-noise enhancement of intrawave frequency modulation characteristics; and processing FFT on an instantaneous frequency of intrawave frequency modulation characteristics afte

Abstract: As cell-free DNA from brain and spinal cord tumors cannot usually be detected in the blood, we assessed the cerebrospinal fluid (CSF) that bathes the CNS for tumor DNA, here termed CSF-tDNA. The results suggest that CSF-tDNA could be useful for the management of patients with primary tumors of the brain or spinal cord.

Abstract: Provided herein are methods and materials for detecting and/or treating subject (e.g. a human) having cancer. In some embodiments, methods and materials for identifying a subject as having cancer (e.g., a localized cancer) are provided in which the presence of member(s) of two or more classes of biomarkers are detected. In some embodiments, methods and materials for identifying a subject as having cancer (e.g. a localized cancer) are provided in which the presence of member(s) of at least one class of biomarkers and the presence of aneuploidy are detected. In some embodiments, methods described herein provide increased sensitivity and/or specificity in the detection of cancer in a subject (e.g. a human).

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: A photoelectric computing unit, a photoelectric computing array and a photoelectric computing method. The photoelectric computing unit includes a semiconductor multifunctional region structure, which includes at least one carrier control region, at least one coupling region, and at least one photon-generated carrier collection region and readout region.

Abstract: A method for safety monitoring of a crack in a blade groove of an in-service nuclear turbine rotor includes: acquiring a phased array detection crack depth of the blade groove of the in-service nuclear turbine rotor; acquiring a stress corrosion crack propagation life, a low cycle fatigue crack propagation life and a high cycle fatigue crack propagation life based on the phased array detection crack depth; acquiring a crack propagation calendar life of the blade groove of the rotor based on the stress corrosion crack propagation life, the low cycle fatigue crack propagation life and the high cycle fatigue crack propagation life; and performing safety monitoring on the crack in the blade groove of the rotor based on the crack propagation calendar life.

Abstract: The present disclosure provides a method for predicting, monitoring and increasing reliability for an in-service nuclear power plant.

Abstract: Methods, systems, and computer program products for generating, from an input character sequence, an output sequence of audio data representing the input character sequence. The output sequence of audio data includes a respective audio output sample for each of a number of time steps. One example method includes, for each of the time steps: generating a mel-frequency spectrogram for the time step by processing a representation of a respective portion of the input character sequence using a decoder neural network; generating a probability distribution over a plurality of possible audio output samples for the time step by processing the mel-frequency spectrogram for the time step using a vocoder neural network; and selecting the audio output sample for the time step from the possible audio output samples in accordance with the probability distribution.

Abstract: A method for virus detection is disclosed, including introducing a biological media to an aptamer functionalized electrochemical sensor, generating an electrochemical signal from a reaction between a virus and an aptamer, analyzing the electrochemical signal to determine presence of the virus, analyzing the electrochemical signal to determine a quantity of the virus, and transmitting a presence of the virus and a quantity of the virus. A device for virus detection and method for fabricating a device for virus detection is also disclosed. The device for virus detection also includes an electrode, a functionalized aptamer anchored to the electrode, where an aptamer is functionalized such that it is specific to a virus, such as SARS-COV-2 or an alternate virus or interest. The device for virus detection may be wearable.

Abstract: Provided herein are methods for identifying a genetic characteristic, a fragment characteristic and an epigenetic characteristic of a double-stranded DNA molecule in a population of double-stranded DNA molecules by assaying both strands of the double-stranded DNA molecule.

Abstract: Provided are an audio synthesis method and apparatus, an electronic device, and a readable storage medium. In the present solution, conversion from a text to an audio having a target timbre is achieved by means of a pre-trained voice synthesis model, the voice synthesis model comprising a first feature extraction sub-model and a second feature extraction sub-model, wherein the first feature extraction sub-model outputs, according to an inputted text to be processed, an acoustic feature comprising a bottleneck feature; the second feature extraction sub-model outputs, according to the inputted first acoustic features, a Mel spectrum feature corresponding to the text to be processed; according to the Mel spectrum feature corresponding to the text to be processed, the target audio corresponding to the text to be processed is obtained, and the target audio has the target timbre.

Abstract: As cell-free DNA from brain and spinal cord tumors cannot usually be detected in the blood, we assessed the cerebrospinal fluid (CSF) that bathes the CNS for tumor DNA, here termed CSF-tDNA. The results suggest that CSF-tDNA could be useful for the management of patients with primary tumors of the brain or spinal cord.

Abstract: A method for purifying biological dust suppressant by two-stage ultrafiltration is provided, which utilizes the differences of physical characteristics such as solubility and molecular morphology of each substance in fermentation broth to separate and purify the target product by two-stage ultrafiltration. Firstly, the fermentation broth is centrifugally pretreated to separate insoluble substances such as microbial cells; after centrifugation, the supernatant passes through a primary ultrafiltration membrane, and the polysaccharide, lactic acid and aggregated biological dust suppressant molecules with molecular weights more than 20 kilodaltons are cut off; organic solvents such as methanol and ethyl acetate are added to the retentate for dilution, further filtering is carried out with ultrafiltration membrane with a cutoff molecular weight more than 10 kilodaltons to obtain liquid product, and finally preparing solid purified product is conducted through rotary evaporation and constant temperature drying.

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: The robust dispatch method for flexibility resources of large-scale data center microgrid clusters characterizes overall scheduling capacity of multiple flexibility resources in each data center microgrid by establishing a virtual battery model, constructs an equivalent model of scheduling capacity of data center microgrid cluster based on constraint space superposition methods of Minkowski summation, and fully exploits flexibility of output power regulation of distributed generator sets and energy storage of the data center microgrid cluster as well as demand response characteristics of loads, so as to obtain regulation domain of aggregate power of the data center microgrid cluster.