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 present disclosure relates to the field of medicine and specifically to an application of naringin combined with rapamycin in preparation of medications for treating hyperlipidemia. Naringin achieves anti-inflammatory and lipid-lowering effects by inhibiting the formation of oxLp-NLRP3 complexes. The present disclosure has been substantiated through cellular experiments and animal experiments, it demonstrates that naringin effectively intervenes in the early progression of hyperlipidemia by neutralizing oxLp and inhibiting the formation of oxLp-NLRP3 complexes. The inhibitory effect of naringin on oxLp-NLRP3 complexes contributes to unleashing the therapeutic potential of rapamycin in hyperlipidemia, providing a combined strategy for the prevention and treatment of hyperlipidemia-related diseases in clinical applications.

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.

Abstract: The present disclosure provides a method and device for intelligent control of heating furnace combustion based on a big data cloud platform, which relates to the technical field of artificial intelligence control. The method includes: construction of big data cloud platform based on production and operation parameters of the heating furnace; identification of key factors in the production process of the heating furnace by using big data mining technology; independent deployment of traditional heating furnace combustion control systems based on the mechanism model; and integration of cloud platform big data expert knowledge base and the heating furnace combustion intelligent control system.

Abstract: A smart acoustic information recognition-based welded weld impact quality determination method and system, comprising: controlling a tip of an ultrasonic impact gun (1) to perform impact treatment on a welded weld with different treatment pressures, treatment speeds, treatment angles and impact frequencies, obtaining acoustic signals during the impact treatment, calculating feature values of the acoustic signals, and constructing an acoustic signal sample set including various stress conditions; marking the acoustic signal sample set according to impact treatment quality assessment results for the welded weld; establishing a multi-weight neural network model, and using the marked acoustic signal sample set to train the multi-weight neural network model; obtaining feature values of welded weld impact treatment acoustic signals to be determined, inputting the feature values into the trained multi-weight neural network model, and outputting determination results for welded weld impact treatment quality to be det

Abstract: The present disclosure provides a method and apparatus for coupling a superconducting qubit. The method includes: determining a target coupling strength between a target read cavity and a qubit, a first target frequency of the qubit, and a second target frequency of the target read cavity; initializing a read coupling port configuration layout based on a configuration of the qubit, a relative position of the qubit to the target read cavity; calculating a to-be-measured coupling strength between the qubit and the read coupling port, based on the read coupling port configuration layout, the first target frequency, and the second target frequency; and in response to detecting that the to-be-measured coupling strength and the target coupling strength satisfy a preset condition, generating, based on the second target frequency and the read coupling port configuration layout, a complete layout comprising the qubit and the target read cavity.

Abstract: Provided is a simulation method, an electronic device and a storage medium, relating to the field of computer and in particular to the field of quantum computer and quantum simulation. The simulation method can includes obtaining first frequency information of a first target device among at least two devices of a quantum chip layout through simulation, and obtaining second frequency information of a second target device among the at least two devices through simulation; and obtaining a coupling strength between the first target device and the second target device among the at least two devices based on the first frequency information and the second frequency information.

Abstract: Provided is a simulation method, electronic device, and storage medium relating to the field quantum computers and quantum simulation. The simulation method can include obtaining a first normal mode frequency of a first target device with adjustable frequency among at least two devices of a quantum chip layout through simulation; determining resonance-related information of the first target device and a second target device in a resonant state among the at least two devices; where the second target device is a device with adjustable or non-adjustable frequency among the at least two devices; and obtaining a target coupling strength between the first and second target devices based on the first normal mode frequency of the first target device and the resonance-related information.

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 present disclosure provides a method of multi-objective and multi-dimensional online joint monitoring for a nuclear turbine. The method includes: obtaining first temperature monitoring data of the nuclear turbine by performing online thermal monitoring on a rotor, a valve cage and a cylinder of the nuclear turbine under quick starting-up; obtaining second temperature monitoring data of tightness of a flange association plane of the cylinder of the nuclear turbine by performing online thermal monitoring on the tightness of the flange association plane; obtaining operation monitoring data of a shafting vibration of a rotor and bearing system of the nuclear turbine by performing online safety monitoring on the shafting vibration of the rotor and bearing system; and optimizing operation and maintenance control of the nuclear turbine according to at least one type of monitoring data among the first temperature monitoring data, the second temperature monitoring data and the operation monitoring data.

Abstract: The recently developed liquid-based Papanicolaou (Pap) smear allows not only cytologic evaluation but also collection of DNA for detection of HPV, the causative agent of cervical cancer. We tested these samples to detect somatic mutations present in rare tumor cells that might accumulate in the cervix once shed from endometrial and ovarian cancers. A panel of commonly mutated genes in endometrial and ovarian cancers was assembled and used to identify mutations in all 46 endometrial or cervical cancer tissue samples. We were able also able to identify the same mutations in the DNA from liquid Pap smears in 100% of endometrial cancers (24 of 24) and in 41% of ovarian cancers (9 of 22). We developed a sequence-based method to query mutations in 12 genes in a single liquid Pap smear without prior knowledge of the tumor's genotype.

Abstract: The present disclosure provides a method of multi-objective and multi-dimensional online joint monitoring for a nuclear turbine. The method includes: obtaining first temperature monitoring data of the nuclear turbine by performing online thermal monitoring on a rotor, a valve cage and a cylinder of the nuclear turbine under quick starting-up; obtaining second temperature monitoring data of tightness of a flange association plane of the cylinder of the nuclear turbine by performing online thermal monitoring on the tightness of the flange association plane; obtaining operation monitoring data of a shafting vibration of a rotor and bearing system of the nuclear turbine by performing online safety monitoring on the shafting vibration of the rotor and bearing system; and optimizing operation and maintenance control of the nuclear turbine according to at least one type of monitoring data among the first temperature monitoring data, the second temperature monitoring data and the operation monitoring data.

Abstract: Disclosed is a water circulation intelligent sensing and monitoring system based on differentiable reasoning, including a processor module, wherein a data terminal of the processor module is connected to a feature knowledge base module, an intelligent sensing module and an intelligent control module, respectively; the intelligent sensing module is connected to the feature knowledge base module through a conversion module; the feature knowledge base module includes a differentiable reasoning unit, a feature knowledge base unit and a feature knowledge graph unit; and a data terminal of the feature knowledge graph unit is connected to the differentiable reasoning unit, the feature knowledge base unit and the conversion module.

Abstract: The recently developed liquid-based Papanicolaou (Pap) smear allows not only cytologic evaluation but also collection of DNA for detection of HPV, the causative agent of cervical cancer. We tested these samples to detect somatic mutations present in rare tumor cells that might accumulate in the cervix once shed from endometrial and ovarian cancers. A panel of commonly mutated genes in endometrial and ovarian cancers was assembled and used to identify mutations in all 46 endometrial or cervical cancer tissue samples. We were able also able to identify the same mutations in the DNA from liquid Pap smears in 100% of endometrial cancers (24 of 24) and in 41% of ovarian cancers (9 of 22). We developed a sequence-based method to query mutations in 12 genes in a single liquid Pap smear without prior knowledge of the tumor's genotype.

Abstract: The present disclosure relates to a notched steel beam and a floor slab structure of a flange embedded floor slab and a construction method. The notched steel beam comprises a web (1), wherein an upper flange (2) and a lower flange (3) are respectively arranged on the upper end and the lower end of the web (1); the flange embedded floor slab comprises four rectangularly distributed floor slab stand columns (7), a steel beam (8) is arranged between the adjacent floor slab stand columns (7), laminated slab bottom slabs (9) are arranged between the two steel beams (8) which are symmetrically distributed, floor slab reinforcing steel bars (10) are arranged above the laminated slab bottom slabs (9), a concrete layer (11) is arranged on the floor slab reinforcing steel bars (10); and the steel beam (8) is the notched steel beam of the flange embedded floor slab.

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 diagnostic test for ovarian cysts is based on the detection of mutations characteristic of the most common neoplasms giving rise to these lesions. With this test, tumor-specific mutations were detected in the cyst fluids of 19 of 24 (79%) borderline tumors and 28 of 31 (90%) malignant ovarian cancers. In contrast, we detected no mutations in the cyst fluids from 10 non-neoplastic cysts and 12 benign tumors. When categorized by the need for exploratory surgery (i.e., presence of a borderline tumor or malignant cancer), the sensitivity of this test was 85% and the specificity was 100%. These tests could inform the diagnosis of ovarian cysts and improve the clinical management of the large number of women with these lesions.

Abstract: A diagnostic test for ovarian cysts is based on the detection of mutations characteristic of the most common neoplasms giving rise to these lesions. With this test, tumor-specific mutations were detected in the cyst fluids of 19 of 24 (79%) borderline tumors and 28 of 31 (90%) malignant ovarian cancers. In contrast, we detected no mutations in the cyst fluids from 10 non-neoplastic cysts and 12 benign tumors. When categorized by the need for exploratory surgery (i.e., presence of a borderline tumor or malignant cancer), the sensitivity of this test was 85% and the specificity was 100%. These tests could inform the diagnosis of ovarian cysts and improve the clinical management of the large number of women with these lesions.

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 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.