Abstract: Disclosed herein are systems and methods for scalable and secure transmission of multicast data over a public communication network. In exemplary embodiments of the present disclosure, a virtual overlay network can be presented as a single virtual interface to a computing device, for the receipt and transfer of multicast data in a secure and scalable manner across a public insecure communication network.

Abstract: The disclosure is directed to a novel responsive layout that allows the user to build one layout that can fit on all or virtually all device form factors according to some embodiments. In some embodiments, the responsive layout is configured to allow users to arrange their content based on the size and shape of a display. In some embodiments, the system is configured to receive a request to access content through a computer and in response to the request, automatically generate a responsive layout based on a display size and a content of the request. In some embodiments, the responsive layout includes a responsive layout editor pane configured to allow the user to customize the responsive layout as desired.

Abstract: Methods and systems for image registration using an intelligent artificial agent are disclosed. In an intelligent artificial agent based registration method, a current state observation of an artificial agent is determined based on the medical images to be registered and current transformation parameters. Action-values are calculated for a plurality of actions available to the artificial agent based on the current state observation using a machine learning based model, such as a trained deep neural network (DNN). The actions correspond to predetermined adjustments of the transformation parameters. An action having a highest action-value is selected from the plurality of actions and the transformation parameters are adjusted by the predetermined adjustment corresponding to the selected action. The determining, calculating, and selecting steps are repeated for a plurality of iterations, and the medical images are registered using final transformation parameters resulting from the plurality of iterations.

Abstract: Methods of treating and preventing metabolic disease through inhibiting interleukin 11 (IL-11)-mediated signalling are disclosed, as well as agents for use in such methods.

Abstract: A computer-based method and scoring system for management of metadata is provided.

Abstract: An example of an apparatus including a network interface to receive enrollment data from a device, wherein the device is identified by a device identifier. The apparatus further includes a memory storage unit connected to the network interface. The memory storage unit receives device history data associated with the device identifier while the device is enrolled. The memory storage unit is also to maintain a database to store the device history data associated with the device identifier. The apparatus also includes a processor to receive a de-enrollment command associated with the device via the network interface. The de-enrollment command causes the processor to modify the device identifier stored in the database.

Abstract: Provided are systems and methods for converting user interface events that occur in a software application developed via a WebGUI framework into activity descriptions and into a bot software program. In one example, a method may include recording events transmitted between a user interface of a web application open within a web browser on a client device and a back-end of the web application on a server, identifying codes associated with user interface elements which are assigned to the recorded events, converting the identified codes assigned to the recorded events into a human-readable descriptions of the recorded events based on a predefined mapping between the codes and the human-readable descriptions stored in the predefined mapping, and displaying the human-readable descriptions of the recorded events based on the identified order among the recorded events.

Abstract: A method and system for training a virtual agent through fallback analysis is provided herein. The method comprises obtaining a plurality of fallback utterances. The method further comprises classifying the plurality of fallback utterances into one or more of existing intent categories, via a Machine Learning (ML) model. The method further comprises upon unsuccessful classification of one or more utterances of the plurality of fallback utterances, clustering the one or more utterances into one or more groups based on similarities among the one or more utterances, via the ML model. Further, the method comprises generating labels for the one or more groups to determine names of new intent categories associated with the one or more utterances.

Abstract: A method and system for generating conversation flows is provided herein. The method and system comprise storing conversations between at least an agent and at least a user in logs. Further, the method and system comprise extracting topics from the logs. Also, the method and system comprise creating clusters from the extracted topics. The method and system further comprise generating the conversation flows from the clusters.

Abstract: A method and system for generating a response through a virtual agent is provided herein. The method comprises receiving information associated with a plurality of themes and topics. The method further comprises creating a knowledgebase based on the information received. The method further comprises analyzing the knowledgebase based on an intent identified, using an Artificial Intelligence (AI) model. Further, the method comprises generating a response corresponding to the intent through the virtual agent based on analyzation.

Abstract: The present invention relates to preparation of pyrazoles. This invention further relates to a continuous flow micro-total process system for preparation of celecoxib, a COX-2 selective non-steroidal anti-inflammatory drug, and analogs thereof.

Abstract: Systems and methods for selectively transmitting routing information between separated local area network (LAN) interfaces are disclosed. In exemplary embodiments, a network appliance to update a local routing table with IP subnet, neighbor type, source type, and community identifier of a second network appliance; based at least on the local routing table, receive a customized routing policy and subnet exporting policy that permits the network appliance to export a subset of IP addresses from the local routing table to a permitted community of network appliances, wherein the customized routing policy and subnet exporting policy are configured by a network administrator of the network appliance; match the permitted community of network appliances to a new community identifier of a third network appliance; and export the subset of IP addresses of the local routing table to the third network appliance based on the customized routing policy and subnet exporting policy.

Abstract: Embodiments of the present disclosure generally relate to methods for cleaning a chamber comprising introducing a gas to a processing volume of the chamber, providing a first radiofrequency (RF) power having a first frequency of about 40 MHz or greater to a lid of the chamber, providing a second RF power having a second frequency to an electrode disposed in a substrate support within the processing volume, and removing at least a portion of a film disposed on a surface of a chamber component of the chamber. The second frequency is about 10 MHz to about 20 MHz.

Abstract: Cell penetrating peptides that target many cells types including cells of the retina and cornea with high efficiency are provided herein. These peptides can be used to deliver cargo molecules across a plasma membrane, without the need for chemical conjugation. Compositions and viral vectors comprising these cell-penetrating peptides are also provided. Methods of using the peptides, compositions and viruses to deliver various agents to target cells and tissues are also provided.

Abstract: Embodiments of the present disclosure relate to generating control signals for energy sources. Some embodiments include a method, the method including generating a first control signal at least partially responsive to a request signal and at least partially responsive to a first capability of a first energy source to change a first energy output. The first control signal may be indicative of a first portion of a requested amount of energy to be provided by the first energy source. The method may also include generating a second control signal at least partially responsive to the request signal and at least partially responsive to a second capability of a second energy source to change a second energy output. The second control signal may be indicative of a second portion of the requested amount of energy to be provided by the second energy source. Related devices, systems and methods are also disclosed.

Abstract: A method and system for training a virtual agent is provided herein. The method and system comprises storing conversations between the virtual agent and a user in logs. The method and system further comprises mining the logs to retrieve utterances. The method and system further comprises computing regression for each of the plurality of the charging time segments. The method and system further comprises providing a score to the utterances. Further, the method ranking the utterances based on the score.

Abstract: An image inpainting system is described that receives an input image that includes a masked region. From the input image, the image inpainting system generates a synthesized image that depicts an object in the masked region by selecting a first code that represents a known factor characterizing a visual appearance of the object and a second code that represents an unknown factor characterizing the visual appearance of the object apart from the known factor in latent space. The input image, the first code, and the second code are provided as input to a generative adversarial network that is trained to generate the synthesized image using contrastive losses. Different synthesized images are generated from the same input image using different combinations of first and second codes, and the synthesized images are output for display.

Abstract: Live video streams are produced using a network server system. The network server system initially receives, via a network, one or more captured video streams that are live streams captured from a remotely-located camera, phone or the like. The captured streams are forwarded to a control device via the network to thereby permit a user of the control device to select one of the captured video streams for output to the video production stream. In response to a command received from the control device that indicates the selected capture stream, the selected capture video stream is encoded for output as the video production stream.

Abstract: Amorphous solid dispersions of nilotinib fumarate or nilotinib tartrate are provided, as well as pharmaceutical compositions thereof, wherein the compositions exhibit enhanced bioavailability in the fasted state. Preferably, the compositions may be orally administered to a patient in either the fed or fasted state, with a decrease or elimination of the food effect. Preferably, following oral administration of the pharmaceutical compositions, there is no substantial difference in the pharmacokinetic parameters (e.g., Cmax, AUC0-t and/or AUC0-infinity) of nilotinib, regardless of whether the pharmaceutical compositions are administered to a subject in the fed or fasted state.

Abstract: A plug-in based framework provides high availability (HA), including fault tolerance, in a distributed system, such as provided by a virtualized computing environment. The framework uses blueprints that define entities to be monitored, failure conditions, failover actions, restoration actions, and other aspects associated with HA. Microservices execute the blueprints, and a load balancer may balance the execution of the blueprints amongst microservices.