Abstract: According to one embodiment, a method, computer system, and computer program product for adjusting an audible area of an avatar's voice is provided. The present invention may include receiving, at a microphone, a source audio; creating a received audio; calculating, by a generative model, a voice propagation distance of a user based on the source audio, the received audio, and a templated text sentence describing a category of a mixed reality environment experienced by the user; drawing a virtual circle within the mixed reality environment centered on a user avatar representing the user and with a radius equal to the voice propagation distance; and transmitting the source audio to one or more participants within the mixed-reality environment represented by one or more participant avatars located within the virtual circle.

Abstract: In an approach to improve the privacy of chat groups within a virtual world, embodiments of the present invention expand a chat area of a chat group to form an experience annulus according to predetermined distance that a voice volume of private-chat-group member can propagate. Responsive to identifying an external user is interested in the chat group, embodiments generate and set a current topic representing a conversation in the chat group as an externally hearable topic that is perceivable by the external user and generate a faux multi-person conversation associated with the externally hearable topic that corresponds to a real conversation made by members in the chat group. Further, embodiments assign the faux utterances to chat group members based on a corresponding speaker index and utilize one or more corresponding avatars of the chat group members to present the faux utterances to the external user.

Abstract: A method, computer system, and a computer program product are provided for training a neural network for finding queried videos. Two pairs of video clips and associated text are obtained from a first dataset and a second dataset. The first dataset is used to train two video encoders by providing the video clips to the encoders as input and providing the outputs to a cosine similarity calculator. The second dataset is used to train a multi-mentor paradigm with two mentors. A first mentor and a second mentor are each provided the pair of textual data inputs. The first mentor provides a similarity value comparison, and the second mentor provides a word mover distance. Using the output from the multi-mentor paradigm and the encoders, a contrastive loss is calculated and used to provide contrastive learning of video features by differentiating similarity and dissimilarity of the video clips.

Abstract: Described herein is a method of treating, ameliorating and/or preventing a bacterial infection in a subject in need thereof. The method includes administering to the subject an effective amount of a compound having the structure of or Also described here is a method of reducing or eliminating an adverse effect caused by a bacterium in a subject. The method includes administering to the subject a compound of the disclosure. Also described are compositions and kits for performing the methods herein, which include a compound of the disclosure and an antibiotic.

Abstract: Computer-implemented peer-engagement through graphical definition of contact-generating events in a virtualized metaverse includes visually presenting to a user, on an interactive interface, a multi-dimensional scene of a virtual environment. The user provides input to graphically define one or more contact-generating events within the multi-dimensional scene, which events are detected as being triggered by one or more virtualized avatars in the multi-dimensional scene. According to the triggering of the events and other predefined contact-engaging criteria, a contact-initiating prompt may be transmitted to a peer user associated with the one or more virtualized avatars in the multi-dimensional scene.

Abstract: An animal irradiation system includes a radioactive source and an irradiation fixing apparatus having irradiated bodies. The radioactive source includes a beam outlet having a first central axis. Radioactive rays generated by the radioactive source exit from the beam outlet and irradiate the irradiated bodies. The radioactive rays define a main axis around the first central axis. The irradiation fixing apparatus includes a box body, which is divided into multiple accommodating chambers around a second central axis. Each accommodating chamber accommodates an irradiated body. Multiple first irradiation holes corresponding to the accommodating chambers are formed on the box body. The radioactive rays pass through the first irradiation holes and then irradiate the irradiated bodies. A maximum distance from an inner wall of each first irradiation hole to the first central axis is less than a minimum distance from an inner wall of the beam outlet to the first central axis.

Abstract: Disclosed herein are certain compounds capable of inhibiting bacterial RelA/RSH, and/or minimizing and/or inhibiting formation of bacterial biofilms, and/or compromising and/or reducing integrity of formed biofilms, and/or inhibiting the production of toxins by gram-negative bacteria. Also disclosed herein are methods of inhibiting the formation of and/or compromising and/or reducing integrity of formed biofilms, as well as methods of inhibiting production of toxins by gram-negative bacteria using the compounds disclosed herein.

Abstract: Embodiments of the present disclosure provide systems and methods for implementing an intelligent vehicle-collision simulation sandbox and intelligently analyzing behaviors of surrounding objects with a current vehicle to simulate possible collisions of the current vehicle and surrounding objects and display intelligently calculated collision probabilities of the surrounding objects.

Abstract: According to one embodiment, a method, computer system, and computer program product for head-driven, self-captured photography is provided. The embodiment may include detecting a trigger event performed by a user while the user is interacting with a virtual environment. The embodiment may also include displaying a virtual camera within the virtual environment. The embodiment may further include modifying a location, a distance, and an orientation of the virtual camera in relation to the user based on a plurality of facial movement trigger events by the user. The embodiment may also include capturing one or more images using the virtual camera at the location, the distance, and the orientation based on a facial movement trigger event within the plurality of facial movement trigger events.

Abstract: A method making a SRAM includes forming a low voltage region, a medium voltage region, and a high voltage region in an active region; forming a low voltage PMOS active region and a low voltage NMOS active region in the low voltage region; forming an STI region between the low voltage PMOS active region and the low voltage NMOS active region; covering the SRAM structure with an oxide layer and an HTO film layer; forming a hard mask on the HTO film layer; performing photolithography to expose the hard mask on the active low voltage region; removing the exposed hard mask from the active low voltage region and removing the HTO film layer and the oxide layer below the hard mask.

Abstract: Techniques are described with respect to a system, method, and computer product for voice-based augmented reality locomotion. An associated method includes receiving a first linguistic input; and determining a label and a duration associated with the linguistic input based on an analysis of the first linguistic input. The method further including converting the label into a heading and the duration into a magnitude in a virtual environment; and merging the heading and magnitude in a vector in the virtual environment.

Abstract: Embodiments of the invention are directed to automatically capturing user interface screenshots for use in documentation of a software product. Aspects include identifying a user interface window of the software product and creating a degree-of-completion graph for the user interface window. Aspects also include capturing a plurality of screenshots of the user interface window during use of the software product and calculating a degree-of-completion percentage for each of the plurality of screenshots. Aspects further include identifying a subset of the plurality of screenshots to be included in the software product documentation based on the degree-of-completion percentage.

Abstract: An execution-step sequence for a first graphical user interface can be determined. A second graphical user interface can include: first panel in which the first graphical user interface is presented; a second panel including a first user selectable component via which a user navigates forward in the execution-step sequence for the first graphical user interface and a second user selectable component via which the user navigates backward in the execution-step sequence for the first graphical user interface; and a third panel configured to represent steps of the execution-step sequence that are executed. Responsive to the user selecting the first user selectable component, an execution-step in the execution-step sequence can be executed, a result of the executing the execution-step can be depicted by redrawing the first graphical user interface, and component status data indicating the execution-step in the execution-step sequence that was executed can be added to the third panel.

Abstract: Summary generation based on comparison objects can include receiving text descriptions of a target object and at least one comparison object. Semantic vectors from the text descriptions can be obtained, using a deep learning based semantic extraction model. The semantic vectors can be input to a generator model trained using an adversarial machine learning technique, the generator model outputting a text summary of the target object describing only unique characteristics of the target object different from characteristics of the at least one comparison object and excluding the characteristics of the at least one comparison object.

Abstract: According to one embodiment, a method, computer system, and computer program product for adjusting an audible area of an avatar's voice is provided. The present invention may include receiving, at a microphone, a source audio; creating a received audio; calculating, by a generative model, a voice propagation distance of a user based on the source audio, the received audio, and a templated text sentence describing a category of a mixed reality environment experienced by the user; drawing a virtual circle within the mixed reality environment centered on a user avatar representing the user and with a radius equal to the voice propagation distance; and transmitting the source audio to one or more participants within the mixed-reality environment represented by one or more participant avatars located within the virtual circle.

Abstract: According to one embodiment, a method, computer system, and computer program product for mixed reality is provided. The present invention may include receiving one or more 3D non-eye landmarks of a user; receiving at least one voice audio of the user; using random noise sampled with a unit normal distribution as one or more noised 3D eye landmarks for the user; inputting the received one or more 3D non-eye landmarks of the user, the at least one voice audio of the user, and the one or more noised 3D eye landmarks for the user, into a trained eye landmark generative model; generating one or more 3D eye landmarks for the user using the trained eye landmark generative model; performing iterative refinement of the one or more generated 3D eye landmarks using the trained eye landmark generative model; and rendering the user's generated face model using a formed 3D face mesh.

Abstract: A method and a system for diagnosing high-enthalpy shock tunnel flow field parameters are provided. In the method, the parameters of the reservoir at the end of shock tunnel and nozzle free flow are measured by using a contact measurement technology and a non-contact spectrum measurement technology to diagnose the high-enthalpy shock tunnel flow field. With the method, not only flow field temperature, pressure, component category and component concentration, but also non-equilibrium state information of the flow field and the effective wind tunnel working time can be obtained.

Abstract: A method, computer system, and a computer program product for text corpus concreteness modification are provided. A computer performs natural language processing to determine a concreteness level of a first individual sentence of a text corpus. The computer generates, based on the natural language processing, a proposed change of the individual sentence. The individual sentence with the proposed change includes a modified concreteness level and preserves a general meaning of the individual sentence. The computer transmits the proposed change for presentation of the proposed change.

Abstract: Video analysis by receiving video data associated with a multi-participant meeting, identifying a first participant viewpoint, a related argument and an authority level of a viewpoint-argument, from the video data using a machine learning model, identifying a first topic within the video data, correlating the first participant viewpoint to the first topic, determining a distance between the first participant viewpoint and a second participant viewpoint, the second participant viewpoint correlated to the first topic, and providing a depiction of a relationship between the first participant viewpoint and the second participant viewpoint according to the distance.

Abstract: According to one embodiment, a method, computer system, and computer program product for mixed reality is provided. The present invention may include receiving 3D hand keypoints (keypoints) of a user's visible hand joints from the user's capturable hand, and visible hand joints, if any, from the user's uncapturable hand; using random noise sampled with a unit normal distribution as initial keypoints for the uncapturable hand joints from the user's uncapturable hand; inputting the received and the initial keypoints, in a preset order, into a trained 3D hand joint generative model; performing an iterative refinement of the uncapturable hand joints from the user's uncapturable hand using the trained 3D hand joint generative model; identifying whether generated keypoints of the user's uncapturable hand are synchronized with the keypoints of the user's capturable hand; and rendering the generated 3D keypoints for the user's uncapturable hand joints using a 3D virtual hand modeler.