Abstract: This disclosure provides, e.g., cytobiologic compositions and methods of use thereof. The cytobiologics can be used, e.g., to deliver a protein or nucleic acid to a target cell.

Abstract: Fusosome compositions and methods are described herein.

Abstract: The present disclosure generally relates to a method for preparing a powder or granular foam control compositions and methods for reducing or preventing or breaking foam in various applications such as powder detergents as well as coatings, cementing, concrete, gypsum board and other construction type applications or in some agricultural formulations like fertilizers, herbicides and pesticides.

Abstract: A method for rapidly filling a compressed gas storage tank with a moderated temperature rise using a Coanda nozzle to inject the feed gas into the tank and using the Coanda nozzle to direct the feed gas along the inner surface of the storage tank; entraining the stored gas with the feed gas that is flowing under the influence of the Coanda effect to flow along the inner surface of the gas storage tank; and transferring heat from the flowing gas to the external walls of the tank. Also, a compressed gas storage tank for rapid filling with a moderated temperature rise comprising: a gas storage tank and a Coanda nozzle capable of directing feed gas that is injected into the gas storage tank along the inner surface of the gas storage tank.

Abstract: A predictive security camera system includes a camera, an object recognizer for detecting an object in a current frame of the camera, a convolutional encoder for generating a feature representation of the current frame, a primary clustering module for clustering the feature representation in primary clusters of the detected object, a vector generation module for generating an information vector that includes a set of variables such as primary class, sub-class, and one or more external factors associated with the feature representation, an anomaly clustering module for clustering each information vector into one or more secondary clusters wherein each variable in the information vector is a clustering dimension, and a predictive analysis module for receiving at least one variable of an information vector as an input, and predicting at least one another variable of the information vector based on one or more previous secondary clusters formed by the anomaly clustering module.

Abstract: A method for performing real-time recognition of objects includes receiving an input video stream from a camera, pre-processing a current frame of the input video stream using one or more pre-processing layers of a neural network structure, detecting if there is an object in the current pre-processed frame using an auxiliary branch of the neural network structure, recognizing one or more objects in the current pre-processed frame using a primary branch of the neural network structure if an object is detected in the current pre-processed frame, and displaying the one or more recognized objects of the current frame in one or more bounding boxes.

Abstract: In a device including a processor and a memory in communication with the processor, the memory includes executable instructions that, when executed by the processor, cause the processor to control the device to perform functions of monitoring a plurality of communication sessions among a plurality of endpoint devices in a network telephony platform; collecting characteristics of the endpoint devices; tracking metrics associated with the endpoint devices with respect to the communication sessions; and generating a map representing the characteristics and metrics associated with the endpoints, wherein the map represents the characteristics of the endpoint devices as relative spatial relationships among the endpoint devices.

Abstract: A method for performing real-time recognition of objects in motion includes receiving an input video stream from a camera, generating one or more depth maps for one or more frames of the input video stream, recognizing one or more objects in a current frame based on corresponding depth map using a machine learning algorithm, and displaying the one or more recognized objects in the current frame in one or more bounding boxes.

Abstract: A method for detecting temporal pattern anomalies in a video stream includes detecting an object in a current frame of the video stream, generating a processed current frame that contains the detected object, generating a feature representation of the processed current frame, clustering the feature representation in one or more primary clusters in a clustering space of the primary class, generating an information vector of the feature representation, that includes information regarding the primary class, the sub-class and one or more external factors associated with the feature representation, clustering each information vector into one or more secondary clusters, and reporting a next frame as an anomaly when a corresponding information vector is positioned outside a secondary cluster of a feature presentation of a previous frame.

Abstract: A method for detecting temporal pattern anomalies in a video stream includes detecting an object in a current frame of the video stream, generating a processed current frame that contains the detected object, generating a feature representation of the processed current frame, clustering the feature representation in one or more primary clusters in a clustering space of the primary class, generating an information vector of the feature representation, that includes information regarding the primary class, the sub-class and one or more external factors associated with the feature representation, clustering each information vector into one or more secondary clusters, and reporting a next frame as an anomaly when a corresponding information vector is positioned outside a secondary cluster of a feature presentation of a previous frame.

Abstract: A predictive security camera system includes a camera, an object recognizer for detecting an object in a current frame of the camera, a convolutional encoder for generating a feature representation of the current frame, a primary clustering module for clustering the feature representation in primary clusters of the detected object, a vector generation module for generating an information vector that includes a set of variables such as primary class, sub-class, and one or more external factors associated with the feature representation, an anomaly clustering module for clustering each information vector into one or more secondary clusters wherein each variable in the information vector is a clustering dimension, and a predictive analysis module for receiving at least one variable of an information vector as an input, and predicting at least one another variable of the information vector based on one or more previous secondary clusters formed by the anomaly clustering module.

Abstract: A method for performing real-time detection of objects in motion includes receiving an input video stream from a camera, detecting if a motion has occurred in a current frame of the input video stream, providing the current frame for object detection if the motion has been detected therein, detecting a moving object in the current frame, displaying the detected moving object, simultaneously tracking a location of the detected moving object within corresponding frame, while the object detection continues for one or more moving objects, and generating a tracking box and overlaying the tracking box on the detected moving object and then transmitting the video to the display, and continuing the tracking of the detected moving object till the object detection continues for corresponding one or more moving objects.

Abstract: In some aspects, fusosome compositions and methods are described herein that comprise membrane enclosed preparations, comprising a fusogen. In some embodiments, the fusosome can the target cell, thereby delivering complex biologic agents to the target cell cytoplasm.

Abstract: A method for performing real-time recognition of objects includes receiving an input video stream from a camera, pre-processing a current frame of the input video stream using one or more pre-processing layers of a neural network structure, detecting if there is an object in the current pre-processed frame using an auxiliary branch of the neural network structure, recognizing one or more objects in the current pre-processed frame using a primary branch of the neural network structure if an object is detected in the current pre-processed frame, and displaying the one or more recognized objects of the current frame in one or more bounding boxes.

Abstract: Therapeutic chondrisome compositions and related methods are described.

Abstract: A method for performing real-time recognition of objects in motion includes receiving an input video stream from a camera, generating one or more depth maps for one or more frames of the input video stream, recognizing one or more objects in a current frame based on corresponding depth map using a machine learning algorithm, and displaying the one or more recognized objects in the current frame in one or more bounding boxes.

Abstract: A method for performing real-time detection of objects in motion includes receiving an input video stream from a camera, detecting if a motion has occurred in a current frame of the input video stream, providing the current frame for object detection if the motion has been detected therein, detecting a moving object in the current frame, displaying the detected moving object, simultaneously tracking a location of the detected moving object within corresponding frame, while the object detection continues for one or more moving objects, and generating a tracking box and overlaying the tracking box on the detected moving object and then transmitting the video to the display, and continuing the tracking of the detected moving object till the object detection continues for corresponding one or more moving objects.

Abstract: Techniques for enhanced error protection for high priority communication sessions are described. Generally, the described techniques enhance error protection for high priority communication sessions, such as emergency calling, such that the high priority communication sessions are essentially error free. According to various implementations, user input to initiate a communication session over a network is received at a communication application. In response to detecting that the communication session corresponds to a high priority communication session, error protection for data of the high priority communication session is enhanced. The data may be enhanced in a variety of different ways, such as by performing forward error correction on the data. The enhanced data of the high priority communication session is then communicated over the network to an endpoint.

Abstract: Techniques for enhanced error protection for high priority communication sessions are described. Generally, the described techniques enhance error protection for high priority communication sessions, such as emergency calling, such that the high priority communication sessions are essentially error free. According to various implementations, user input to initiate a communication session over a network is received at a communication application. In response to detecting that the communication session corresponds to a high priority communication session, error protection for data of the high priority communication session is enhanced. The data may be enhanced in a variety of different ways, such as by performing forward error correction on the data. The enhanced data of the high priority communication session is then communicated over the network to an endpoint.

Abstract: Systems, methods, and software are disclosed herein to operate a calendar service to optimize infrastructure support for online meetings scheduled in the calendar service. In an implementation, the calendar service identifies an upcoming meeting from the meetings scheduled in the calendar service. The calendar service further identifies an infrastructure optimization to apply to the upcoming meeting. The calendar service requests an infrastructure management service to apply the infrastructure optimization to a resource during the upcoming meeting.