Abstract: Disclosed in the present invention is an anti-Nipah virus monoclonal antibody having neutralization activity. The antibody consists of a monkey-derived variable region and a human constant region, and both light and heavy chains of the monkey-derived variable region have unique CDR regions. The antibody provided by the present invention has an excellent antigen binding capability, and has good binding activity with Bangladesh Nipah virus and Malaysia Nipah virus glycoprotein G. The antibody can effectively neutralize the Nipahpseudovirus. Moreover, the neutralization activity of the antibody is enhanced as the concentration of the antibody increases, and nearly 100% neutralization of the Nipahpseudovirus can be achieved at a concentration of 1 ?g/mL. Also disclosed in the present invention is an application of the monoclonal antibody against the Nipah virus glycoprotein G in preparation of a Nipah virus treatment drug.

Abstract: A method for carrying out grouting between adjacent gateroads in internal-staggered split-level coal mining. A return air gateroad of a stoping face and an inlet air gateroad of a heading face are not on the same level. The return air gateroad of the stoping face is arranged along a roof of a coal seam. The inlet air gateroad of the heading face is arranged along a floor of the coal seam. There is a height difference between the return air gateroad and the inlet air gateroad in a vertical direction. During the construction process, the inlet air gateroad is excavated at a delay distance of 180-200 meters from the return air gateroad. The drilling and grouting are performed while excavating the roadway, where grouting holes are arranged in a single row. A device for implementing the method is also provided.

Abstract: In various examples, systems and methods are disclosed that preserve rich, detail-centric information from a real-world image by augmenting the real-world image with simulated objects to train a machine learning model to detect objects in an input image. The machine learning model may be trained, in deployment, to detect objects and determine bounding shapes to encapsulate detected objects. The machine learning model may further be trained to determine the type of road object encountered, calculate hazard ratings, and calculate confidence percentages. In deployment, detection of a road object, determination of a corresponding bounding shape, identification of road object type, and/or calculation of a hazard rating by the machine learning model may be used as an aid for determining next steps regarding the surrounding environment—e.g., navigating around the road debris, driving over the road debris, or coming to a complete stop—in a variety of autonomous machine applications.

Abstract: In various examples, systems and methods are disclosed that preserve rich, detail-centric information from a real-world image by augmenting the real-world image with simulated objects to train a machine learning model to detect objects in an input image. The machine learning model may be trained, in deployment, to detect objects and determine bounding shapes to encapsulate detected objects. The machine learning model may further be trained to determine the type of road object encountered, calculate hazard ratings, and calculate confidence percentages. In deployment, detection of a road object, determination of a corresponding bounding shape, identification of road object type, and/or calculation of a hazard rating by the machine learning model may be used as an aid for determining next steps regarding the surrounding environment—e.g., navigating around the road debris, driving over the road debris, or coming to a complete stop—in a variety of autonomous machine applications.

Abstract: Aspects of the present disclosure provide systems and methods for detecting memorable events of a user, storing those memorable events in a user profile, and leveraging those events to the user. In so doing, memorable events with positive emotional weight may be recalled to encourage delightful experiences. Alternatively or additionally, memorable events with negative emotional weight may be recalled to increase user engagement for conversational systems.

Abstract: Approaches presented herein provide for the generation of synthetic data to fortify a dataset for use in training a network via imitation learning. In at least one embodiment, a system is evaluated to identify failure cases, such as may correspond to false positives and false negative detections. Additional synthetic data imitating these failure cases can then be generated and utilized to provide a more abundant dataset. A network or model can then be trained, or retrained, with the original training data and the additional synthetic data. In one or more embodiments, these steps may be repeated until the evaluation metric converges, with additional synthetic training data being generated corresponding to the failure cases at each training pass.

Abstract: In various examples, systems and methods are disclosed that preserve rich, detail-centric information from a real-world image by augmenting the real-world image with simulated objects to train a machine learning model to detect objects in an input image. The machine learning model may be trained, in deployment, to detect objects and determine bounding shapes to encapsulate detected objects. The machine learning model may further be trained to determine the type of road object encountered, calculate hazard ratings, and calculate confidence percentages. In deployment, detection of a road object, determination of a corresponding bounding shape, identification of road object type, and/or calculation of a hazard rating by the machine learning model may be used as an aid for determining next steps regarding the surrounding environment—e.g., navigating around the road debris, driving over the road debris, or coming to a complete stop—in a variety of autonomous machine applications.

Abstract: Systems and methods for personality consistent automated chatting are provided. The systems and methods track the emotional state of the chat bot, track entity related dispositions of the chat bot and/or track the closeness of the relationship between the chat bot and a user. Accordingly, the systems and methods are able to provide consistent personality and/or points of view by generating replies based on the tracked chat bot emotional state, chat bot entity dispositions, and/or the relationship closeness between the chat bot and the user.

Abstract: Aspects of the present disclosure provide systems and methods for detecting memorable events of a user, storing those memorable events in a user profile, and leveraging those events to the user. In so doing, memorable events with positive emotional weight may be recalled to encourage delightful experiences. Alternatively or additionally, memorable events with negative emotional weight may be recalled to increase user engagement for conversational systems.

Abstract: Systems and methods for personality consistent automated chatting are provided. The systems and methods track the emotional state of the chat bot, track entity related dispositions of the chat bot and/or track the closeness of the relationship between the chat bot and a user. Accordingly, the systems and methods are able to provide consistent personality and/or points of view by generating replies based on the tracked chat bot emotional state, chat bot entity dispositions, and/or the relationship closeness between the chat bot and the user.

Abstract: A method for information processing and an electronic device thereof are provided. The method includes: obtaining, in the case that a first application runs, a first control operation for the first application; during a process for establishing a group in response to the first control operation, controlling a first wireless communication module to serve as a wireless access point and naming the wireless access point with parameter information for the first group; establishing, after response information is obtained, a communication path directly connected to at least one second electronic device, the response information being response information generated in the case that the at least one second electronic device scans and selects the wireless access point; and obtaining, via the communication path, information indicating that the at least one second electronic device joins the first group.

Abstract: A method for information processing and an electronic device thereof are provided. The method includes: obtaining, in the case that a first application runs, a first control operation for the first application; during a process for establishing a group in response to the first control operation, controlling a first wireless communication module to serve as a wireless access point and naming the wireless access point with parameter information for the first group; establishing, after response information is obtained, a communication path directly connected to at least one second electronic device, the response information being response information generated in the case that the at least one second electronic device scans and selects the wireless access point; and obtaining, via the communication path, information indicating that the at least one second electronic device joins the first group.