Abstract: A core-shell microparticle includes a shell containing at least one polymer selected from the group consisting of fluorine-containing polymers, fluorine-free vinyl polymers, and silicone polymers, and a core containing a fluorocarbon.

Abstract: State of the art methods require size of DL model, or its gradients be less than maximum data item size of storage used as a communication channel for model training with serverless platform. Embodiments of the present disclosure provide method and system for training large DL models via serverless architecture using communication channel when the gradients are larger than maximum size of one data item allowed by the channel. Gradients that are generated by each worker during current training instance, are chunked into segments and stored in the communication channel. Corresponding segments of each worker are aggregated by aggregators and stored back. Each of the aggregated corresponding segments are read by each worker to generate an aggregated model to be used during successive training instance. Optimization techniques are used for reading-from and writing-to the channel resulting in significant improvement in performance and cost of training.

Abstract: Methods, computer systems, and computer-storage media, and graphical user interfaces are provided for facilitating efficient meeting management, according to embodiments of the present technology. In one embodiment, engagement data associated with an attendee of an online meeting is obtained. Thereafter, an engagement metric is generated using the engagement data, the engagement metric indicating an extent of engagement of the attendee to the online meeting. Based on the engagement metric indicating that the extent of engagement of the attendee to the online meeting falls below an engagement threshold, a request is provided to disconnect or throttle an audio and/or video stream of the online meeting to and/or from an attendee device associated with the attendee of the online meeting. Efficient meeting management may also be performed by clustering related messages.

Abstract: The present disclosure relates to the diagnosis, treatment and prophylaxis of age-related diseases, and increasing healthspan. Provided are methods of treating or preventing an age-related disease/condition, and in particular of treating or preventing frailty, comprising administering a therapeutically or prophylactically effective amount of an agent capable of inhibiting interleukin 11 (IL-11)-mediated signalling to a subject. Also provided are agents capable of inhibiting interleukin 11 (IL-11)-mediated signalling for use in such a method. Further provided is the use of agents capable of inhibiting interleukin 11 (IL-11)-mediated signalling in the manufacture of a medicament for use in such a method.

Abstract: The embodiments herein disclose methods and systems for monitoring health of eyes of a user, a method includes determining ambient light around an electronic device of the user. On determining that the ambient light is below a pre-defined threshold, the method includes determining a lumen output of at least one content to be displayed in at least one of a continuous manner and at pre-configured intervals. Based on the determined lumen output and at least one user profile, the method includes estimating a variation in a pupil size of the user. Further, the method includes generating an eye health index for the user based on the estimated variation in the pupil size of the user. Further, the method includes tagging the at least one content as safe based on the eye health index for viewing the at least one content.

Abstract: This disclosure describes methods, non-transitory computer readable storage media, and systems that utilize image-guided model inversion of an image classifier with a discriminator. The disclosed systems utilize a neural network image classifier to encode features of an initial image and a target image. The disclosed system also reduces a feature distance between the features of the initial image and the features of the target image at a plurality of layers of the neural network image classifier by utilizing a feature distance regularizer. Additionally, the disclosed system reduces a patch difference between image patches of the initial image and image patches of the target image by utilizing a patch-based discriminator with a patch consistency regularizer. The disclosed system then generates a synthesized digital image based on the constrained feature set and constrained image patches of the initial image.

Abstract: A system and method for classification of spend data wherein the system comprises a user computer system, a processing unit, a communication interface, a first input receiving component, a second input receiving component, and a spend classification module further comprising a sentence tokenizer, a word tokenizer, a co-reference tagger, at least one language dictionary, and at least one standard taxonomy and/or custom taxonomy, a keyword sense tagger, and a sense scorer, such that the sense scorer further includes a category normalizer matrix, a category summarizer matrix and a heuristic learning matrix; and wherein the method comprises the steps of receiving a dataset of spend data from the user, transmitting the dataset to the spend data classification module, processing of the dataset by the spend data classification module, receiving a query term from the user, mapping the query term, and displaying the data so processed to the user.

Abstract: According to some embodiments, systems and methods are provided, including a memory storing processor-executable code; and a processing unit to execute the executable program code to: execute an automation test for a user interface application, wherein execution of the automation test includes accessing a web-object; determine whether the web-object is included in an object repository; in a case it is determined the web-object is not included in the object repository, create the web-object in the object repository; and in a case it is determined the web-object is included in the object repository: determine whether the accessed web-object includes at least one different property from the web-object included in the object repository; and update the web-object included in the object repository with the at least one different property in the accessed web-object. Numerous other aspects are provided.

Abstract: Snapshot or point-in-time image functionality improves the use of object-based datastores. An example system includes an object-based datastore and a metadata datastore associated with the object-based datastore. Instances of the metadata datastore each identify the distributed data blocks that respectively store the objects included in the object-based datastore. An instance of the metadata datastore is used as a snapshot image of a set of objects of the object-based datastore based on identifying the distributed data blocks that were mapped to the set of objects during a point in time. A different instance of the metadata datastore is dynamically updated to reflect present mappings of distributed data blocks to objects in the object-based datastore. Different instances of the metadata datastore are used to read objects from previous timepoints, restore the object-based datastore to a previous snapshot image, enable intelligent deletion of objects of the object-based data store, and more.

Abstract: The present disclosure relates to the field of security systems and discloses a tamper detection device. The device (100) comprises at least one transducer (106,110), a power supply unit (114), a logical gate (112), a processing unit (104), and a tamper tag 102). The transducer (106,110) generates a trigger signal upon detection of a tamper event. The logical gate (112) is operable in an open state or a closed state. The processing unit (104) generates a tamper detection signal for changing the state of the logical gate (112) upon receiving the trigger signal or upon detecting loss of power supply from the power supply unit (114). The change in state of logical gate (112) is detected by a set of sensors (116), of the tamper tag (102), which in turn cause an LED indicator (118), of the tamper tag (102), to indicate the state of the device. An auxiliary capacitor (108) is configured to supply power to the processing unit (104) in the absence of the supply of power from the power supply unit (114).

Abstract: Computer vision systems and methods for text classification are provided. The system detects a plurality of text regions in an image and generates a bounding box for each detected text region. The system utilizes a neural network to recognize text present within each bounding box and classifies the recognized text, based on at least one extracted feature of each bounding box and the recognized text present within each bounding box, according to a plurality of predefined tags. The system can associate a key with a value and return a key-value pair for each predefined tag.

Abstract: Techniques are disclosed for address manipulation using indices and tags. A first index is generated from bits of a processor program counter, where the first index is used to access a branch predictor bimodal table. A first branch prediction is provided from the bimodal table, based on the first index. The first branch prediction is matched against N tables, where the tables contain prior branch histories, and where: the branch history in table T(N) is of greater length than the branch history of table T(N-1), and the branch history in table T(N-1) is of greater length than the branch history of table T(N-2). A processor address is manipulated using a greatest length of hits of branch prediction matches from the N tables, based on one or more hits occurring. The branch predictor address is manipulated using the first branch prediction from the bimodal table, based on zero hits occurring.

Abstract: A system for processing patient data associated with a joint of a patient. The system comprising a computing device executing instructions to generate a 3D patient bone model of the joint in a non-weighted pose. The instructions rearrange 3D first and second bone models in order to mimic a weighted pose of the joint of the patient from a 2D image of the joint of the patient in a weighted pose by performing the steps of: generating a plurality of 2D projections of poses of the 3D patient bone model; comparing the plurality of 2D projections to contour lines of the first bone and the second bone in the 2D image; identifying particular 2D projections that best-fit a shape and size of the contour lines; and arranging the 3D first and second bone models relative to each other according to orientations represented by the particular 2D projections that were identified.

Abstract: A method includes rotating a wafer, dispensing a liquid from a center of the wafer to a peripheral edge of the wafer to control a temperature of the wafer, and etching an etch layer of the wafer with an etchant during or after dispensing the liquid. The liquid is dispensed through a nozzle.

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: 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: 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: 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.