Abstract: An unmanned vehicle includes a body, at least one power source coupled to the body, a flight propulsion system coupled to the at least one power source and configured to propel the unmanned vehicle through air, and a surface propulsion system coupled to the at least one power source and configured to propel the unmanned vehicle along a surface. The unmanned vehicle is configured to switch between a flight configuration in which the unmanned vehicle is propelled through air via the flight propulsion system, and a surface traverse configuration in which the unmanned vehicle is propelled along the surface via the surface propulsion system. In the surface traverse configuration, the surface propulsion system is configured to engage the surface and to maintain the body in a traversing position below the surface as the surface propulsion system propels the unmanned vehicle along the surface.

Abstract: Provided are an interaction method and apparatus, an electronic device, a storage medium, and a program product. The method includes displaying a gift panel in response to a gift panel display operation for a target object, where the gift panel is configured for a gifting user to select a recipient user corresponding to the target object, the gifting user includes a target user, and the target object is configured to establish, for the recipient user, a first association relationship between the recipient user and the target user; and sending a target gift request to a server in response to a gift operation acting in the gift panel.

Abstract: The present invention relates to application of gossypol and its optical isomers to preparation of an anti-Coronavirus drug. Specifically disclosed is application of pharmaceutically acceptable salts, solvates, isotopes, stereoisomers, stereoisomer mixtures, and tautomers of the gossypol and its optical isomers to preparation of a drug for preventing and/or treating a disease caused by a Coronavirus. The Coronavirus is MERS-CoV, SARS-CoV, or SARS-CoV-2. It is found in the present invention for the first time that the gossypol and its optical isomers can inhibit the activity of Coronavirus 3CL proteases to achieve an anti-Coronavirus effect. The half maximal inhibitory concentrations of gossypol and (?)-gossypol to SARS-CoV proteases and SARS-CoV-2 3CL proteases are all lower than 10 ?M. The anti-Coronavirus 3CL protease effect is good. Therefore, the gossypol and its optical isomers have the potential for use in the preparation of a drug for preventing and/or treating novel Coronavirus infections.

Abstract: The present invention relates to the technical field of medicinal chemistry, and particularly to a method for preparing a 3-tetrazolylmethyl-1,3,5-triazin-2,4-dione compound inhibiting coronavirus 3CL protease activity and use thereof. Specifically, a compound of Formula I, or a pharmaceutically acceptable salt, or an optical isomer, or an isotope-substituted form thereof is provided. The compound effectively inhibits the SARS-CoV-2 3CLpro activity, and is useful in the preparation of a SARS-CoV-2 3CLpro inhibitor to block the replication and transcription of SARS-CoV-2 viruses in patients. The compound prepared in the present invention has high in-vitro safety, and very good prospect of application in the preparation of SARS-CoV-2 3CLpro inhibitors and anti-SARS-CoV-2 drugs.

Abstract: An energy storage connector includes an integrated socket and a signal connector plug. The integrated socket includes a socket body and a rear-mounted insert mounted at the socket body and configured to be plugged with an energy storage device. The signal connector plug includes a signal plug body. One end of the signal plug body is detachably mounted at the socket body and plugged with the rear-mounted insert, and another end of the signal plug body is configured to be plugged with a signal cable.

Abstract: The present invention discloses a miniature ear canal hearing aid, electronic elements other than a receiver being wrapped inside a housing, a front end of the housing being sealed and fixed at a rear end of the receiver, a sound outlet of the receiver being exposed to an outside of the housing, the receiver being wrapped with an eardrum head thereon, the eardrum head being fixed at the front end of the housing in a detachable manner, and the sound outlet of the receiver being located inside the eardrum head. The structure of the present invention can increase a degree of curvature of a portion going deep into the ear canal, reduce a volume of the hearing aid, and improve adaptability, comfort and concealment.

Abstract: There is provided a system including a non-transitory memory storing an executable code and a hardware processor executing the executable code to receive an input sentence including a first predicate and at least a first argument depending from the first predicate, identify the first predicate, identify the first argument based on the first predicate, apply a dependency multiplication to determine a semantic role of the first argument based on the first predicate, and assign the first argument to an argument cluster including one or more similar arguments based on the semantic role of the first argument.

Abstract: The present invention discloses a miniature ear canal hearing aid, electronic elements other than a receiver being wrapped inside a housing, a front end of the housing being sealed and fixed at a rear end of the receiver, a sound outlet of the receiver being exposed to an outside of the housing, the receiver being wrapped with an eardrum head thereon, the eardrum head being fixed at the front end of the housing in a detachable manner, and the sound outlet of the receiver being located inside the eardrum head. The structure of the present invention can increase a degree of curvature of a portion going deep into the ear canal, reduce a volume of the hearing aid, and improve adaptability, comfort and concealment.

Abstract: Systems, methods and computer program products related to aligning heterogeneous sequential data are disclosed. Video data in a media presentation and textual data corresponding to content of the media presentation are received. An action related to aligning the video data and the textual data is determined using an alignment neural network, such that the video data and the textual data are at least partially aligned following the action. The alignment neural network includes a first fully connected layer that receives as input the video data, the textual data, and data relating to a previously determined action by the alignment neural network related to aligning the video data and the textual data. The determined action related to aligning the video data and the textual data is performed.

Abstract: An IGBT modeling method includes creating piece-wise line functions describing a collector-emitter voltage vce, a collector current ic and a gate-emitter voltage vge of the IGBT during a switching-on transient based on an internal structure of the IGBT and transient processes of the IGBT. The IGBT modeling method further includes creating piece-wise line functions describing the collector-emitter voltage vce, the collector current ic and the gate-emitter voltage vge of the IGBT during a switching-off transient based on the internal structure of the IGBT and the transient processes.

Abstract: A backward discrete state event driven power electronics simulation method includes simulation initialization and a k-th simulation step, k?0. The k-th simulation step includes obtaining a system state equation at the k-th step. The k-th simulation step further includes determining alternative quantized values for each of state variables at a k+1-th step. The k-th simulation step further includes setting up a finite state machine to determine quantized values for the state variables at the k+1-th step one by one. The k-th simulation step further includes calculating a vector of derivatives based on the quantized values at the k+1-th step and the system state equation. The k-th simulation further includes determining the time of the k+1-th simulation step based on occurrence times of events.

Abstract: Systems, methods and computer program products related to aligning heterogeneous sequential data are disclosed. Video data in a media presentation and textual data corresponding to content of the media presentation are received. An action related to aligning the video data and the textual data is determined using an alignment neural network, such that the video data and the textual data are at least partially aligned following the action. The alignment neural network includes a first fully connected layer that receives as input the video data, the textual data, and data relating to a previously determined action by the alignment neural network related to aligning the video data and the textual data. The determined action related to aligning the video data and the textual data is performed.

Abstract: Systems, methods, and articles of manufacture are disclosed for learning models of movies, keywords, actors, and roles, and querying the same. In one embodiment, a recommendation application optimizes a model based on training data by initializing the mean and co-variance matrices of Gaussian distributions representing movies, keywords, and actors to random values, and then performing an optimization to minimize a margin loss function using symmetrical or asymmetrical measures of similarity between entities. Such training produces an optimized model with the Gaussian distributions representing movies, keywords, and actors, as well as shift vectors that change the means of movie Gaussian distributions and model archetypical roles. Subsequent to training, the same similarity measures used to train the model are used to query the model and obtain rankings of entities based on similarity to terms in the query, and a representation of the rankings may be displayed via, e.g., a display device.

Abstract: Systems, methods and computer program products related to aligning heterogeneous sequential data. A first sequential data stream and a second sequential data stream are received. An action related to aligning the first sequential data stream and the second sequential data stream is determined using an alignment neural network. The alignment neural network includes a fully connected layer that receives as input: data from the first sequential data stream, data from the second sequential data stream, and data relating to a previously determined action by the alignment neural network related to aligning the first sequential data stream and the second sequential data stream.

Abstract: Systems, methods and computer program products related to aligning heterogeneous sequential data. A first sequential data stream and a second sequential data stream are received. An action related to aligning the first sequential data stream and the second sequential data stream is determined using an alignment neural network. The alignment neural network includes a fully connected layer that receives as input: data from the first sequential data stream, data from the second sequential data stream, and data relating to a previously determined action by the alignment neural network related to aligning the first sequential data stream and the second sequential data stream.

Abstract: A method for identifying a dairy animal, the method comprising the steps of: providing an identification system comprising an imaging device and a database of stored vein patterns; obtaining at least one image of at least a portion of an udder of the dairy animal; extracting a vein pattern from the at least one image; comparing the extracted vein pattern to the database of stored vein patterns; and identifying, based on said comparison, the dairy animal in the database of stored vein patterns.

Abstract: A backward discrete state event driven power electronics simulation method includes simulation initialization and a k-th simulation step, k?0. The k-th simulation step includes obtaining a system state equation at the k-th step. The k-th simulation step further includes determining alternative quantized values for each of state variables at a k+1-th step. The k-th simulation step further includes setting up a finite state machine to determine quantized values for the state variables at the k+1-th step one by one. The k-th simulation step further includes calculating a vector of derivatives based on the quantized values at the k+1-th step and the system state equation. The k-th simulation further includes determining the time of the k+1-th simulation step based on occurrence times of events.

Abstract: An IGBT modeling method includes creating piece-wise line functions describing a collector-emitter voltage vce, a collector current ic and a gate-emitter voltage vge of the IGBT during a switching-on transient based on an internal structure of the IGBT and transient processes of the IGBT. The IGBT modeling method further includes creating piece-wise line functions describing the collector-emitter voltage vce, the collector current ic and the gate-emitter voltage vge of the IGBT during a switching-off transient based on the internal structure of the IGBT and the transient processes.

Abstract: A method for identifying a dairy animal, the method comprising the steps of: providing an identification system comprising an imaging device and a database of stored vein patterns; obtaining at least one image of at least a portion of an udder of the dairy animal; extracting a vein pattern from the at least one image; comparing the extracted vein pattern to the database of stored vein patterns; and identifying, based on said comparison, the dairy animal in the database of stored vein patterns.

Abstract: There is provided a system including a non-transitory memory storing an executable code and a hardware processor executing the executable code to receive an input sentence including a first predicate and at least a first argument depending from the first predicate, identify the first predicate, identify the first argument based on the first predicate, apply a dependency multiplication to determine a semantic role of the first argument based on the first predicate, and assign the first argument to an argument cluster including one or more similar arguments based on the semantic role of the first argument.