Abstract: An antenna assembly has a solar layer having one or more solar cells generating solar power, an antenna layer connected to the solar layer and having electronic components utilizing the solar power generated by the solar layer, and a thermal dissipation device dissipating heat locally at the antenna assembly. A large number of antenna assemblies are connected to form an antenna array in which heat is generated locally at each antenna assembly and dissipated locally at each antenna assembly.

Abstract: An antenna array has a plurality of square or rectangular antenna assemblies. Each assembly includes a first antenna assembly surface with a solar cell and a second antenna assembly with one or more antenna elements. The antenna assemblies are interconnected without gaps therebetween to form a first contiguous array surface comprised of the first antenna assembly surfaces and a second contiguous array surface comprised of the second antenna assembly surfaces. The antenna assemblies are connected together by mechanically stored-energy connectors, such as spring tape, that self-deploy the array in space without the use of electric energy.

Abstract: Systems and methods are provided that are directed to generating video sequences including physio-realistic avatars. In examples, an albedo for an avatar is received, a sub-surface skin color associated with the albedo is modified based on physiological data associated with physiologic characteristic, and an avatar based on the albedo and the modified sub-surface skin color is rendered. The rendered avatar may then be synthesized in a frame of video. In some examples, a video including the synthesized avatar may be used to train a machine learning model to detect a physiological characteristic. The machine learning model may receive a plurality of video segments, where one or more of the video segments includes a synthetic physio-realistic avatar generated with the physiological characteristic. The machine learning model may be trained using the plurality of video segments. The trained model may be provided to a requesting entity.

Abstract: An array of antenna assemblies each generate solar power and utilize the generated solar power at that antenna assembly, which enables large amounts of power to be generated. An antenna assembly having a flat antenna layer forming a first outer surface of said antenna assembly, a flat solar layer forming a second outer surface of said antenna assembly, and a flat structural layer having a flat support structure sandwiched between the antenna layer and the solar layer. The antenna layer has a flat antenna plate with one or more antennas at the first outer surface of the antenna assembly to communicate with Earth. The solar layer has a flat solar plate with one or more solar cells at the second outer surface of the antenna assembly to receive solar energy and generate power.

Abstract: Aspects of the present disclosure relate to generating an engagement model to predict actions that may have a high probability of maintaining user engagement in-application or causing a user to reengage with the application. To generate the engagement model, an approach has been developed which incorporates features analysis of the application and application users. Users may be grouped based on similar features that are used to generate machine learning engagement models. The output of an engagement model may be a prediction on whether a user will continue to engage with an application. The prediction may be provided to a reengagement model which may output prompts to help increase user engagement with the application. The prompts may be based on an understanding of application users and their preferences.

Abstract: Systems and methods are provided that are directed to generating video sequences including physio-realistic avatars. In examples, an albedo for an avatar is received, a sub-surface skin color associated with the albedo is modified based on physiological data associated with physiologic characteristic, and an avatar based on the albedo and the modified sub-surface skin color is rendered. The rendered avatar may then be synthesized in a frame of video. In some examples, a video including the synthesized avatar may be used to train a machine learning model to detect a physiological characteristic. The machine learning model may receive a plurality of video segments, where one or more of the video segments includes a synthetic physio-realistic avatar generated with the physiological characteristic. The machine learning model may be trained using the plurality of video segments. The trained model may be provided to a requesting entity.

Abstract: The invention describes a ceiling-mounted ozone-generating device (1) which comprises: at least one ozone-generating element (2); a fan (3) arranged in a position adjacent to the ozone-generating element (2) to propel the ozone generated by the ozone-generating element (2) outwards; a processing means (4) that controls the operation of the ozone-generating element (2) and the fan (3); and a housing which comprises a cover (5a) and a base (5b) that houses the ozone-generating element (2), the fan (3), and the processing means (4), wherein the housing comprises an air inlet hole (6) and an ozone outlet hole (7). Additionally, the casing comprises means for fixing it to the ceiling of a room.

Abstract: An antenna assembly has a solar layer having one or more solar cells generating solar power, an antenna layer connected to the solar layer and having electronic components utilizing the solar power generated by the solar layer, and a thermal dissipation device dissipating heat locally at the antenna assembly. A large number of antenna assemblies are connected to form an antenna array in which heat is generated locally at each antenna assembly and dissipated locally at each antenna assembly.

Abstract: The present technology is directed to compounds useful in the imaging of peripheral neurons.

Abstract: A multilevel power line communication quantization method for physical layer security is provided. The multilevel quantization method includes generating an estimated channel impulse response of at least one link between a first node and a second node; performing a quantization of the estimated channel impulse response; generating a virtual channel impulse response; performing a quantization of the virtual channel impulse response for generating a first key and a second key, wherein the first key has a corresponding first position vector and the second key has a corresponding second position vector; and confirming that the first key and the second key are equal.

Abstract: An antenna assembly has a solar layer having one or more solar cells generating solar power, an antenna layer connected to the solar layer and having electronic components utilizing the solar power generated by the solar layer, and a thermal dissipation device dissipating heat locally at the antenna assembly. A large number of antenna assemblies are connected to form an antenna array in which heat is generated locally at each antenna assembly and dissipated locally at each antenna assembly.

Abstract: An array of antenna assemblies each generate solar power and utilize the generated solar power at that antenna assembly, which enables large amounts of power to be generated. An antenna assembly having a flat antenna layer forming a first outer surface of said antenna assembly, a flat solar layer forming a second outer surface of said antenna assembly, and a flat structural layer having a flat support structure sandwiched between the antenna layer and the solar layer. The antenna layer has a flat antenna plate with one or more antennas at the first outer surface of the antenna assembly to communicate with Earth. The solar layer has a flat solar plate with one or more solar cells at the second outer surface of the antenna assembly to receive solar energy and generate power.

Abstract: Various methods and apparatus relating to estimating and mitigating a stress level of a user are disclosed herein. Methods can include collecting potential stress indicator data from the user interacting with a computing device. The potential stress indicator data can include one or more of environmental data and contextual data associated with the user. Methods can include estimating the stress level of the user based on the potential stress indicator data. Methods can include performing an evaluation of whether to mitigate the stress level of the user via one or more stress mitigation interventions. Methods can include presenting the one or more stress mitigation interventions to the user via a graphical user interface (GUI) when the evaluation indicates that the stress level should be mitigated.

Abstract: Systems and methods for providing a user characteristic to a service provider for a virtual conference with a user are provided. In particular, a computing device may collect raw media data associated with the user during the virtual conference between the user and the service provider. During the virtual conference, the computing device may perform a first processing of the raw media data to extract intermediate user data, wherein the intermediate user data comprises one or more of a physiological signal and a behavioral signal associated the user. The computing device may further transform the raw media data into transformed media data and transmit the transformed media data with the intermediate user data to a server for second processing of the intermediate user data.

Abstract: The present disclosure relate to highlighting audience members with reactions to a presenter of an online meeting. Unlike physical, fact-to-face meeting that enables spontaneous interactions among the presenter and the audiences that are collocated with the presenter, presenting materials during an online meeting raises an issue of the present not being able to see real-time reactions or feedback by the audience members. The present disclosure addresses the issue by dynamically determining one or more audience members who indicate reactions during the online meeting or presentation and displaying faces of the one or more audience members under spotlight to the presenter. The presenter sees faces of the audience members with reactions during the online presentation and responds to the audience members and keep the audience engaged. The spotlight audience server analyzes video frames and determines types of reactions of the audience members.

Abstract: Crosslinkers of an amide or thiocarbamate of 7-nitroindoline were prepared with at least two attached reactive groups for crosslinking capability. The photo-cleavability of the invented crosslinkers is based on the known photolysis behavior of N-acyl-7-nitroindolines, and the photolysis behavior of amides and thiocarbamates of 7-nitroindolines. These crosslinkers enable crosslinking of biopolymers, which can be reversed by illumination with light.

Abstract: Generally discussed herein are devices, systems, and methods for. A method can include obtaining a normalizing autoencoder, the normalizing autoencoder trained based on first data samples of a template person and second data samples of a variety of people, normalizing, by the normalizing autoencoder, an input data sample by combining dynamic characteristics of a person in the input data sample with static characteristics in the first data samples, to generate normalized data, and providing the normalized data as input to a classifier model to classify the input data based on the dynamic characteristics of the input data and the static characteristics of the first data samples.

Abstract: Systems and methods are provided that are directed to generating video sequences including physio-realistic avatars. In examples, an albedo for an avatar is received, a sub-surface skin color associated with the albedo is modified based on physiological data associated with physiologic characteristic, and an avatar based on the albedo and the modified sub-surface skin color is rendered. The rendered avatar may then be synthesized in a frame of video. In some examples, a video including the synthesized avatar may be used to train a machine learning model to detect a physiological characteristic. The machine learning model may receive a plurality of video segments, where one or more of the video segments includes a synthetic physio-realistic avatar generated with the physiological characteristic. The machine learning model may be trained using the plurality of video segments. The trained model may be provided to a requesting entity.

Abstract: An antenna assembly has a solar layer having one or more solar cells generating solar power, an antenna layer connected to the solar layer and having electronic components utilizing the solar power generated by the solar layer, and a thermal dissipation device dissipating heat locally at the antenna assembly. A large number of antenna assemblies are connected to form an antenna array in which heat is generated locally at each antenna assembly and dissipated locally at each antenna assembly.

Abstract: Antibodies that specifically bind to toxins of C. difficile, antigen binding portions thereof, and methods of making and using the antibodies and antigen binding portions thereof are provided herein.