Abstract: A voice masking method, apparatus, and system are provided, which are applicable to the field of intelligent vehicles. The method includes: determining a voice source location and a target masking location; receiving a sound signal from the voice source location, and detecting whether a voice signal exists in the sound signal, to generate a detection result; and if the detection result is that the voice signal exists in the sound signal, generating a masking sound for the voice signal, and outputting the masking sound to a first speaker at the voice source location and a second speaker at the target masking location; or if the detection result is that no voice signal exists in the sound signal, skipping generating the masking sound. According to this application, a requirement of an occupant for private voice communication in vehicle cockpit space can be met, and information security can be improved.

Abstract: A voice masking method, apparatus, and system are provided, which are applicable to the field of intelligent vehicles. The method includes: determining a voice source location and a target masking location; receiving a sound signal from the voice source location, and detecting whether a voice signal exists in the sound signal, to generate a detection result; and if the detection result is that the voice signal exists in the sound signal, generating a masking sound for the voice signal, and outputting the masking sound to a first speaker at the voice source location and a second speaker at the target masking location; or if the detection result is that no voice signal exists in the sound signal, skipping generating the masking sound. According to this application, a requirement of an occupant for private voice communication in vehicle cockpit space can be met, and information security can be improved.

Abstract: The present disclosure discloses use of polaprezinc (Pola) in preparing a drug for treating castration-resistant prostate cancer (CRPC) and belongs to the technical field of biological medicine. The present disclosure provides a new strategy for preparing the drug for treating the CRPC by combining the Pola with an androgen receptor antagonist for the first time and conducts a multi-angle and multi-level verification research. A drug composition combining the polaprezinc and the androgen receptor antagonist can be used for treating castration-resistant prostate cancer, remarkably improves an effect of enzalutamide in inhibiting the castration-resistant prostate cancer, realizes new use of the old drug, can greatly shorten time from drug discovery to clinical transformation, and has important clinical treatment significance.

Abstract: The present disclosure provides a bacterial and yeast co-culture system and methods of making and using such co-culture systems for producing strigolactones.

Abstract: The present disclosure describes techniques for using online data in a secure environment. A token may be generated based on a user's behavior data. The token may be certified by a data certificate provider. The token may be registered through a decentralized service provided by a broker. The broker may be configured to process advertising requests received from advertisers. The broker may be configured to request for advertisements suggested by at least one independent advisor. The broker may be configured to provide at least one subset of the advertisements to at least one publisher. The token may be transmitted to an independent token manager for storage. An ownership of the token may be claimed when interacting with the at least one publisher. The ownership of the token may be verified after the at least one publisher plays at least one advertisement associated with the token.

Abstract: This application relates to the technical field of three-dimensional (3D) reconstruction, and in particular to a 3D reconstruction method and apparatus for a multi-tillering crop plant, a device, and a medium. The first reconstruction result of each single stem is obtained through the single-stem growth characteristic information and the 3D leaf template database, such that the 3D reconstruction result obtained based on the first reconstruction result exhibits satisfactory consistency with the measured data in crop phenotype. By optimizing the second reconstruction result, the optimized 3D reconstruction result exhibits satisfactory consistency with the measured data in vertical spatial distribution. This application can realize the 3D reconstruction for the multi-tillering crop plant of the complex morphology and structure, and provide a strong support for research of the multi-tillering crop plant.

Abstract: This application relates to the technical field of image processing, and provides a three-dimensional (3D) semantic reconstruction method and apparatus of a leaf, an electronic device, and a storage medium. The 3D semantic reconstruction method of a leaf includes: taking 3D point cloud data of a crop leaf as an input, generating an initial mesh of the crop leaf based on the 3D point cloud data, remeshing the initial mesh, mapping a 3D mesh to a two-dimensional (2D) space by parameterization, determining semantic surface feature points of a 2D mesh, and performing 3D semantic reconstruction based on corresponding points of the semantic surface feature points in the 3D mesh to obtain a 3D semantic mesh model of the crop leaf.

Abstract: This application provides a loudspeaker module and a vehicle. The loudspeaker module includes a loudspeaker unit and a frame body. The loudspeaker unit is disposed in the frame body and fastened to the frame body through a first mounting surface. The loudspeaker unit includes a diaphragm. The diaphragm is disposed around the inside of the loudspeaker unit. The frame body and a side that is of the diaphragm and that is close to the first mounting surface form a first cavity. An included angle between a sound output direction of the first cavity and a plane on which the first mounting surface is located ranges from ?30° to 30°. According to this application, sound quality of the loudspeaker module can be improved.

Abstract: This application relates to an audio signal processing method and apparatus, a storage medium, and a vehicle. The method includes: obtaining a first audio signal collected by a sound sensor; processing one or more of human voice information, harmonic information, and burst sound information that are included in the first audio signal, to determine a first noise signal in the first audio signal; adjusting a second audio signal based on the first noise signal and the second audio signal to obtain a third audio signal, where the second audio signal is an original audio source of a play device, and the adjustment includes amplitude adjustment; and playing the third audio signal by using the play device. According to embodiments of this application, a current noise level can be accurately estimated, so that an adjusted audio signal has a better noise masking effect, and auditory experience of a user is better.

Abstract: Women with polycystic ovary syndrome (PCOS) are predicted to have a higher risk for developing nonalcoholic fatty liver disease than normal women associated with insulin resistance and hypertrophy of adipose tissue. This invention provides improved compositions and methods for the treatment of liver disease in women including in women with PCOS.

Abstract: A signal processing system and method for a radiation detector based on a metal oxide semiconductor (MOS) transistor are disclosed. The signal processing system includes a power supply generation module, an analog signal processing module, and a digital signal acquiring-processing module. The power supply generation module provides a novel power supply method, and converts a positive high voltage power supply into a negative high voltage power supply to supply power to a last dynode of a photomultiplier tube (PMT). The analog signal processing module converts a negative current pulse signal into a voltage difference signal. The digital signal acquiring-processing module acquires a signal of the analog signal processing module, and converts the signal into a digital signal for identification.

Abstract: A signal processing system and method for a radiation detector based on a metal oxide semiconductor (MOS) transistor are disclosed. The signal processing system includes a power supply generation module, an analog signal processing module, and a digital signal acquiring-processing module. The power supply generation module provides a novel power supply method, and converts a positive high voltage power supply into a negative high voltage power supply to supply power to a last dynode of a photomultiplier tube (PMT). The analog signal processing module converts a negative current pulse signal into a voltage difference signal. The digital signal acquiring-processing module acquires a signal of the analog signal processing module, and converts the signal into a digital signal for identification.

Abstract: The present disclosure describes techniques for using online data in a secure environment. A token may be generated based on a user's behavior data. The token may be certified by a data certificate provider. The token may be registered through a decentralized service provided by a broker. The broker may be configured to process advertising requests received from advertisers. The broker may be configured to request for advertisements suggested by at least one independent advisor. The broker may be configured to provide at least one subset of the advertisements to at least one publisher. The token may be transmitted to an independent token manager for storage. An ownership of the token may be claimed when interacting with the at least one publisher. The ownership of the token may be verified after the at least one publisher plays at least one advertisement associated with the token.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a training dataset containing a first set of records associated with a first set of identifier (ID) values and an evaluation dataset containing a second set of records associated with a second set of ID values. Next, the system selects a random subset of ID values from the second set of ID values. The system then generates a sampled evaluation dataset comprising a first subset of records associated with the random subset of ID values in the second set of records. The system also generates a sampled training dataset comprising a second subset of records associated with the random subset of ID values in the first set of records. Finally, the system outputs the sampled training dataset and the sampled evaluation dataset for use in training and evaluating a machine learning model.

Abstract: The present disclosure discloses use of polaprezinc (Pola) in preparing a drug for treating castration-resistant prostate cancer (CRPC) and belongs to the technical field of biological medicine. The present disclosure provides a new strategy for preparing the drug for treating the CRPC by combining the Pola with an androgen receptor antagonist for the first time and conducts a multi-angle and multi-level verification research. A drug composition combining the polaprezinc and the androgen receptor antagonist can be used for treating castration-resistant prostate cancer, remarkably improves an effect of enzalutamide in inhibiting the castration-resistant prostate cancer, realizes new use of the old drug, can greatly shorten time from drug discovery to clinical transformation, and has important clinical treatment significance.

Abstract: Systems and methods to manage a fleet of home electronic systems are described. The system receives event information at a home fleet management application for managing a first set of home electronic systems including a second set of home electronic systems. The event information includes sensor information. The system aggregates the sensor information according to geographic areas to generate aggregated sensor information. The geographic areas include a first geographic area. The system receives first selection information that selects a first action identifier and the first geographic area. The first action identifier identifies a first action and the first geographic area identifies the second set of home electronic systems. The system communicates first action information to the second set of home electronic systems responsive to receiving the first selection information. The first action information causes a thermostat to establish a temperature range in the second plurality of home electronic systems.

Abstract: Systems and methods to manage a fleet of home electronic systems are described. The system receives, over a network, event information at a home fleet management system. The event information is received from home electronic systems and includes sensor information. The system aggregates the sensor information according to geographic areas to generate first aggregated sensor information. The system generates first user interface information based on the first aggregated sensor information. The system receives first selection information including a metric identifier and a geographic identifier. The system generates second user interface information based on the first selection information. The system receives second selection information identifying a group of home electronic systems and an action. The system communicates action information to selected home electronic systems based on the action to cause the action to be performed at the selected home electronic systems.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a training dataset containing a first set of records associated with a first set of identifier (ID) values and an evaluation dataset containing a second set of records associated with a second set of ID values. Next, the system selects a random subset of ID values from the second set of ID values. The system then generates a sampled evaluation dataset comprising a first subset of records associated with the random subset of ID values in the second set of records. The system also generates a sampled training dataset comprising a second subset of records associated with the random subset of ID values in the first set of records. Finally, the system outputs the sampled training dataset and the sampled evaluation dataset for use in training and evaluating a machine learning model.

Abstract: Systems and methods to manage a fleet of home electronic systems are described. The system receives, over a network, event information at a home fleet management system. The event information is received from home electronic systems and includes sensor information. The system aggregates the sensor information according to geographic areas to generate first aggregated sensor information. The system generates first user interface information based on the first aggregated sensor information. The system receives first selection information including a metric identifier and a geographic identifier. The system generates second user interface information based on the first selection information. The system receives second selection information identifying a group of home electronic systems and an action. The system communicates action information to selected home electronic systems based on the action to cause the action to be performed at the selected home electronic systems.