Abstract: In a semantic communication method, input information from a transmitter may be input into a pre-trained semantic encoder to obtain semantic signals. Then, the semantic signals may be transmitted to a first channel to obtain a third semantic signal. Moreover, a transmitter-side signal processing may be performed on the semantic signals to obtain processed semantic signals. Then the processed semantic signals may be transmitted to a second channel to obtain fourth semantic signals. Further, a receiver-side signal processing may be performed on the fourth semantic signals obtain fifth semantic signals. Finally, the fifth semantic signals may be optimized and then be input into a pre-trained semantic decoder for semantic decoding to obtain first decoded information and second decoded information.

Abstract: Transcript Enrichment and Quantification Utilizing Isothermally Linear-Amplified Sequencing (TEQUILA-seq) is a versatile, easy-to-implement, and highly cost-effective method utilizing isothermally linear-amplified capture oligos for targeted sequencing. TEQUILA-seq reduces the per-reaction cost of targeted capture by 2-3 orders of magnitude, as compared to a standard commercial solution. When performed on the Oxford nanopore platform for long-read RNA-seq with multiple gene panels of varying sizes, TEQUILA-seq consistently and substantially enriched transcript coverage while preserving transcript quantification. Profiling of full-length transcript isoforms of 468 actionable cancer genes across 40 breast cancer cell lines representing distinct intrinsic subtypes identified transcript isoforms enriched in specific subtypes and discovered novel transcript isoforms in extensively studied cancer genes such as TP53.

Abstract: The present disclosure is directed to the accurate and high throughput method for screening and identifying antigen-reactive T Cell Receptors (TCRs) capable of triggering effective T-cell activation.

Abstract: This invention refers to a method for maintaining machinery, comprising the steps of: a) determining, by a computer, when the machinery will need to be maintained, b) acquiring, by a computer, tasks to be executed by workers, c) generating, by a computer, a list of tasks for at least one of the workers, the list is generated including a task for maintaining the machinery as determined in step a) and including the tasks acquired in step b), d) maintaining the machinery based on the list of tasks for the one of the workers, wherein steps a) to c) are executed independently from each other.

Abstract: A double-track vehicle, comprising upper and lower carriages, which are respectively a passenger carriage (1) for providing passenger seats and a cargo carriage (2) for placing cargo, the passenger carriage (1) and the cargo carriage (2) being respectively provided with a passenger door (3) for passengers to get on and off and a cargo door (4) for loading and unloading cargo. The vehicle carries out simultaneous transport of passengers and cargo, allowing for the function of the rail vehicle to no longer be singular and largely reducing transport and maintenance costs. At the same time, passenger transport and cargo transport are divided into two layers, which completely separates cargo transport and passenger transport, thereby providing passengers with a comfortable seating environment and improving seating safety.

Abstract: Among other things, one or more techniques and/or systems are provided for providing recommendations to address design flaws of power system equipment and/or model design flaws for equipment model types of power system equipment. For example, historical sensor data and/or historical field test data, collected from power system equipment, may be analyzed to identify a design flaw of the power system equipment (e.g., a design flaw of a seal ring). A redesign cost to redesign the power system equipment, a failure impact of a failure from the design flaw, a maintenance repair and/or replacement cost, a manufacture alternative component cost to use an alternative component for manufacturing the power system equipment, and/or other factors may be taken into account to crate and provide a recommendation to address the design flaw.

Abstract: Provided are a railway vehicle carriage structure and a railway vehicle. Doors (9) enabling passengers to board and alight are provided on two sides of a vehicle body of at least one end part of a carriage (1, 2), a region directly between the doors is a vestibule (12), and the space of the vestibule (12) is substantially circular. This type of carriage structure enlarges the passing space in the vestibule (12) for people, can effectively relieve the state of overcrowding when a large number of people are boarding and alighting, and increases the comfort of passengers of railway vehicles.

Abstract: A double-track vehicle, comprising upper and lower carriages, which are respectively a passenger carriage (1) for providing passenger seats and a cargo carriage (2) for placing cargo, the passenger carriage (1) and the cargo carriage (2) being respectively provided with a passenger door (3) for passengers to get on and off and a cargo door (4) for loading and unloading cargo. The vehicle carries out simultaneous transport of passengers and cargo, allowing for the function of the rail vehicle to no longer be singular and largely reducing transport and maintenance costs. At the same time, passenger transport and cargo transport are divided into two layers, which completely separates cargo transport and passenger transport, thereby providing passengers with a comfortable seating environment and improving seating safety.

Abstract: An apparatus and a method for executing an automated analysis of analysis input data (e.g. social media data and/or On-Board-Diagnosis data) for product failure detection is proposed.

Abstract: A computer-implemented system and method for predictive and diagnostic analysis of an electrical transmission, generation and distribution asset health includes a computer with a non-transient computer readable medium able to receive data regarding an asset, its components, component subsystem and parameters related thereto. Instructions stored on the non-transient computer readable medium execute instructions that predictively calculate overall asset health and also calculated the states of subsystems and component parameters, providing a diagnostic of the causes of poor asset health.

Abstract: Method and system for predicting an oil temperature of a transformer for a desired load and/or predicting a load that a transformer can support for a desired time. A machine learning algorithm is developed using historical data of a transformer. After the algorithm is developed, historical data corresponding to the transformer are input into the algorithm to develop a profile of the transformer describing how the temperature of oil within the transformer is expected to change as a function of a desired load. Using the profile, the of temperature of the transformer is predicted for a desired load. In this way, a prediction is made as to whether and/or for how long a transformer may support a desired load before the oil temperature reaches a specified threshold and/or before the transformer fails due to the load.

Abstract: Among other things, one or more techniques and/or systems are provided for assessing power system equipment of a power system. Historical sensor data and/or historical field test data collected from the power system equipment may be utilized to develop a health profile of the power system equipment. The health profile is indicative of a predicted health (e.g., or probability of failure) of the power system equipment. In one embodiment, the health profile further comprises a health index score which evaluates that health of the power system equipment in terms of the importance of the power system equipment to the power system. Using the health profiles developed for a plurality of power system equipment, a maintenance strategy for at least a portion of the power system may be developed.

Abstract: An apparatus and a method for executing an automated analysis of analysis input data (e.g. social media data and/or On-Board-Diagnosis data) for product failure detection is proposed.

Abstract: An image processing method. The method includes receiving, at a client terminal, a user request for displaying one or more outfit designs; identifying at least one matching condition associated with the outfit designs; sending a request for image information to a server, wherein the request includes the at least one matching condition; receiving the image information from the server, wherein the image information includes three-dimensional image information of an apparel item and one or more matching apparel items; and displaying one or more outfit images based on the three-dimensional image information and a preset template.

Abstract: Among other things, one or more techniques and/or systems are provided for providing recommendations to address design flaws of power system equipment and/or model design flaws for equipment model types of power system equipment. For example, historical sensor data and/or historical field test data, collected from power system equipment, may be analyzed to identify a design flaw of the power system equipment (e.g., a design flaw of a seal ring). A redesign cost to redesign the power system equipment, a failure impact of a failure from the design flaw, a maintenance repair and/or replacement cost, a manufacture alternative component cost to use an alternative component for manufacturing the power system equipment, and/or other factors may be taken into account to crate and provide a recommendation to address the design flaw.

Abstract: Method and system for predicting an oil temperature of a transformer for a desired load and/or predicting a load that a transformer can support for a desired time. A machine learning algorithm is developed using historical data of a transformer. After the algorithm is developed, historical data corresponding to the transformer are input into the algorithm to develop a profile of the transformer describing how the temperature of oil within the transformer is expected to change as a function of a desired load. Using the profile, the of temperature of the transformer is predicted for a desired load. In this way, a prediction is made as to whether and/or for how long a transformer may support a desired load before the oil temperature reaches a specified threshold and/or before the transformer fails due to the load.

Abstract: A computer-implemented system and method for predictive and diagnostic analysis of an electrical transmission, generation and distribution asset health includes a computer with a non-transient computer readable medium able to receive data regarding an asset, its components, component subsystem and parameters related thereto. Instructions stored on the non-transient computer readable medium execute instructions that predictively calculate overall asset health and also calculated the states of subsystems and component parameters, providing a diagnostic of the causes of poor asset health.

Abstract: Among other things, one or more techniques and/or systems are provided for assessing power system equipment of a power system. Historical sensor data and/or historical field test data collected from the power system equipment may be utilized to develop a health profile of the power system equipment. The health profile is indicative of a predicted health (e.g., or probability of failure) of the power system equipment. In one embodiment, the health profile further comprises a health index score which evaluates that health of the power system equipment in terms of the importance of the power system equipment to the power system. Using the health profiles developed for a plurality of power system equipment, a maintenance strategy for at least a portion of the power system may be developed.

Abstract: The present invention relates to a method and apparatus for determining traffic condition comprising the steps of determining periodically a position data of a host vehicle 1, wherein the position data includes a time stamp, position, velocity and driving direction of the host vehicle 1, receiving periodically position data of at least an other vehicle 2, 3, 4, wherein the position data includes a time stamp, position, velocity and driving direction of the other vehicle 2, 3, 4, storing the position data of the host vehicle 1 and the position data of at least the other vehicle 2, 3, 4, calculating a relative position data, wherein the relative position data includes relative velocity and relative driving direction between the host vehicle 1 and the other vehicle 2, 3, 4, and judging a traffic condition based on the position data of the host vehicle 1, the position data of the other vehicle 2, 3, 4 and the relative position data.