Abstract: A system for guiding a cutting tool in an osteotomy procedure includes a cutting block. The cutting block includes an aperture extending through a thickness of the cutting block and having a length and a width. The width of the aperture is defined between a first interior surface of the cutting block and a second interior surface of the cutting block opposing the first interior surface. The system further includes a sleeve. The sleeve includes a slot configured for receiving a sawblade and configured for insertion into the aperture of the cutting block such that the sleeve contacts either the first interior surface or the second interior surface without contacting the other interior surface.

Abstract: The present invention relates to a method of preparing an adsorbent for removing radon. The method includes (a) mixing a fluorine (F) compound and zeolite to produce a second mixture.

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: The techniques disclosed herein enable systems to store file system metadata on append-only storage devices by the introduction of a metadata layout and relative references. To achieve this, a system analyzes a file metadata structure to select an approach to storing the metadata structure on the storage device. If the metadata structure is above a threshold size, it is separated into layers that are then appended to the storage device from lowest to highest. An offset is retrieved for appended layers and provided to upper-level layers that refer to them until the full structure is stored. For storing smaller pieces of metadata that refer to each other, the system configures upper-level nodes with relative references that express the location of metadata relative to the node. This enables atomic write operations for smaller metadata structures and/or portions of larger structures.

Abstract: Some embodiments may be associated with a system to extend business logic for cloud application services. A custom logic user interface may receive, from a user via a flow-based editor, information creating a custom logic business expression (e.g., a determination or a validation) and information about the custom logic business expression may be stored in a custom logic metadata repository. A computer processor of an application service platform may access the custom logic business expression from the custom logic metadata repository and receive an Application Programming Interface (“API”) call from an API consumer. Responsive to the API call, the system may arrange for execution of the custom logic business expression in accordance with information in the custom logic metadata repository and invoke a pre-hook trigger event to call a custom logic service. Standard application logic may then be executed, and a post-hook trigger event may be invoked to call the custom logic service.

Abstract: Examples are described herein for monitoring power source usage of a computing device, including a battery and another power source, over time. In various examples, time periods of this monitored time may be added to a time count based on their immediately previous or immediately subsequent time periods satisfying a condition. The time count may be used to track periods of time during which certain power source usage factors are present that may lead to or may indicate the presence of battery swelling. After a time period is added to the time count, the updated time count can be compared to a time count threshold, and a user of the computing device may be warned based on the comparison. The threshold and warning may be selected to warn a user of potential present or future swelling of the battery.

Abstract: The techniques disclosed herein enable systems to efficiently interface with zoned namespace (ZNS) storage devices through a specialized management entity. To achieve this, the management entity receives write requests from a file system containing data intended for storage at the ZNS device. In response, the management entity selects a zone from the ZNS device to write the file data to. Accordingly, the file data is written by appending the file data to the zone at a location indicated by a write pointer. When the write operation is completed, the offset of the file data within the zone is observed and recorded by the file system in file metadata. In contrast to typical systems which allocate locations at the storage device prior to writing, appending file data and then recording the location enables improved efficiency in file system operations. Namely, that write operations can be issued to the ZNS device non-serially.

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: 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: 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: 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: 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: 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.