Abstract: Coronavirus S ectodomain trimers stabilized in a prefusion conformation, nucleic acid molecules and vectors encoding these proteins, and methods of their use and production are disclosed. In several embodiments, the coronavirus S ectodomain trimers and/or nucleic acid molecules can be used to generate an immune response to coronavirus in a subject. In additional embodiments, the therapeutically effective amount of the coronavirus S ectodomain trimers and/or nucleic acid molecules can be administered to a subject in a method of treating or preventing coronavirus infection.

Abstract: Systems and methods include the following. Information about a first electronic communication device is transmitted to at least one server and/or decentralized infrastructure. The information includes vicinity information. A status signal associated with a first user of the first electronic communication device is optionally transmitted. Contact proximity network information about a contact proximity network is received. The contact proximity network is based on the information from a plurality of electronic communication devices and information about the association between users and electronic communication devices. The contact proximity network information includes status signal information and interconnected nodes corresponding to different users and pairwise connections between users based upon their relative physical space and time proximity.

Abstract: An information processing system includes an identification unit configured to identify unique information on shoes using at least part of a captured image of the shoes, and a setting unit configured to set an association between an acquisition device configured to acquire the unique information and a module device attached to the shoes based on the unique information.

Abstract: Systems and methods include the following. Information about a first electronic communication device is transmitted to at least one server and/or decentralized infrastructure. The information includes vicinity information. A status signal associated with a first user of the first electronic communication device is optionally transmitted. Contact proximity network information about a contact proximity network is received. The contact proximity network is based on the information from a plurality of electronic communication devices and information about the association between users and electronic communication devices. The contact proximity network information includes status signal information and interconnected nodes corresponding to different users and pairwise connections between users based upon their relative physical space and time proximity.

Abstract: Techniques are disclosed that enable processing of audio data to generate one or more refined versions of audio data, where each of the refined versions of audio data isolate one or more utterances of a single respective human speaker. Various implementations generate a refined version of audio data that isolates utterance(s) of a single human speaker by processing a spectrogram representation of the audio data (generated by processing the audio data with a frequency transformation) using a mask generated by processing the spectrogram of the audio data and a speaker embedding for the single human speaker using a trained voice filter model. Output generated over the trained voice filter model is processed using an inverse of the frequency transformation to generate the refined audio data.

Abstract: Certain aspects produce a scoring model that can automatically classify future text samples. In some examples, a processing device perform operations for producing a scoring model using active learning. The operations includes receiving existing text samples and searching a stored, pre-trained corpus defining embedding vectors for selected words, phrases, or documents to produce nearest neighbor vectors for each embedding vector. Nearest neighbor selections are identified based on distance between each nearest neighbor vector and the embedding vector for each selection to produce a text cloud. Text samples are selected from the text cloud to produce seed data that is used to train a text classifier. A scoring model can be produced based on the text classifier. The scoring model can receive a plurality of new text samples and provide a score indicative of a likelihood of being a member of a selected class.

Abstract: Certain aspects produce a scoring model that can automatically classify future text samples. In some examples, a processing device perform operations for producing a scoring model using active learning. The operations includes receiving existing text samples and searching a stored, pre-trained corpus defining embedding vectors for selected words, phrases, or documents to produce nearest neighbor vectors for each embedding vector. Nearest neighbor selections are identified based on distance between each nearest neighbor vector and the embedding vector for each selection to produce a text cloud. Text samples are selected from the text cloud to produce seed data that is used to train a text classifier. A scoring model can be produced based on the text classifier. The scoring model can receive a plurality of new text samples and provide a score indicative of a likelihood of being a member of a selected class.

Abstract: A message retrieval subsystem comprises a voice extensible mark-up language browser, a message server, and a message library. The VXML browser is configured with an application programming interface that enables a subscriber of a distributed voice messaging service to request a stored message. The message server receives a request to open a connection from a client process operative on the voice extensible mark-up language browser, spawns a thread to enable the connection, uses the thread to queue one or more subscriber requests for respective blocks of audio information, removes and processes the one or more subscriber requests, and uses the thread to forward a retrieved block of audio information to a subscriber. The message library is coupled to the message server and interposed between the message server and a common message store. The upper library isolates the VXML browser from a streaming protocol used to access the stored message.

Abstract: A message retrieval subsystem comprises a voice extensible mark-up language browser, a message server, and a message library. The VXML browser is configured with an application programming interface that enables a subscriber of a distributed voice messaging service to request a stored message. The message server receives a request to open a connection from a client process operative on the voice extensible mark-up language browser, spawns a thread to enable the connection, uses the thread to queue one or more subscriber requests for respective blocks of audio information, removes and processes the one or more subscriber requests, and uses the thread to forward a retrieved block of audio information to a subscriber. The message library is coupled to the message server and interposed between the message server and a common message store. The upper library isolates the VXML browser from a streaming protocol used to access the stored message.