Abstract: A technique monitors input/output (I/O) and storage ownership takeover activity patterns to detect degraded performance of a highly available and fault tolerant application executing in a multi-site environment. Multiple instances of the application execute in different containers or pods running on virtual machines (VMs) of a compute layer within a containerized (e.g., Kubernetes) clustering configuration that extends across clusters of the sites. A storage layer of the clusters provides shared storage to the pods running on the VMs across the multiple sites. One of the sites is configured as an active storage site configured to receive and service I/O requests from the compute layer. A single instance of the application is active at a time and configured as a “compute owner” of the shared storage to issue the I/O requests to the shared storage.

Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for efficiently generating video insights based on text representations of videos. In embodiments, text data associated with a video is obtained. Thereafter, a model prompt to be input into a large language model is generated. The model prompt includes the text data associated with the video. As output from the large language model, a text representation that represents the video in natural language based on the text data is obtained. The text representation is provided as input into a machine learning model to generate a video insight that indicates context of the video.

Abstract: A film composition including acid copolymer in a range of 1 to 10%, metallocene Linear low-density polyethylene (LLDPE) in a range of 5 to 15%, low density polyethylene (LDPE) in a range of 5 to 10%, anti-block masterbatch in the range of 0.5 to 1%, high density polyethylene (HDPE) in a range of 20 to 50%, plastomer in a range of 5 to 30% and slip additive in a range of 0.5 to 1%. Also disclosed is a film made from the film composition and to a laminate made from the film.

Abstract: The present disclosure relates to a composition comprising an active ingredient or drug for degenerative disorders, one or more plant-derived neuroprotective ingredients and one or more nutraceutically or pharmaceutically acceptable excipient and a method of preparing the same. The composition delivers the active ingredient or the drug to the predetermined location of the body with success.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. Item parameters associated with each item when mapped into a feature vector for each item are indicative as to an identification of the item. The feature vectors are analyzed to determine whether item parameters when combined and mapped into the feature vectors match a corresponding feature vector stored in a database. The database stores different combinations of item parameters as mapped into different stored feature vectors with different stored feature vectors associated with different items thereby identifying each item based on each different combination of item parameters as mapped into each stored feature vector associated with each item. Each item positioned at the POS system is identified when the feature vectors associated with each item match a corresponding stored feature vector as stored in the database.

Abstract: A contactless power transfer system is provided. The contactless power transfer system includes a first power exchanger coil configured to exchange power. The contactless power transfer system also includes a first power converter operatively coupled to the first power exchanger coil and configured to convert a direct current power to an alternating current power at a system frequency. The contactless power transfer system further includes a controller configured to control an operating state of the first power converter to vary an alternating current power provided to the first power exchanger coil at the system frequency.

Abstract: Disclosed herein are immune activating conjugates with immunogenic carrier proteins coupled to hapten and immune cell receptor agonist-containing polymers. The polymers promote uptake by B cells, enabling intracellular immune cell receptor activation and formation of long-lived antibody-secreting cells. In some aspects, disclosed herein in is a conjugate comprising an immunogenic carrier protein coupled to a polymer, wherein the polymer includes: i) a first monomeric unit comprising a first monomer coupled to a hapten, and ii) a second monomeric unit comprising a second monomer coupled to an immune cell receptor agonist.

Abstract: A computer-implemented method, according to one approach, includes: receiving observability data produced by a first portion of a distributed application. The observability data is evaluated and in response to determining that the observability data indicates the first portion of the distributed application is degraded, the amount of the observability data produced by the first portion of the distributed application is increased. Additionally, the amount of observability data produced by other portions of the distributed application that are correlated with the first portion of the distributed application is also increased.

Abstract: Various systems and methods are presented herein regarding automatically identifying one or more entities to for assignment to resolving an issue and/or removing an entity from a group of entities assigned to resolve the issue. The issue can relate to an information technology/computer-based environment. The entities can be subject matter experts, having expertise identified to be related to the issue. A summary of the issue and activity relating to resolving the issue can be automatically generated and supplied to an entity who is being onboarded after the project is underway to resolve the issue. By implementing automated assignment/removal of entities, efficiency of the resolution is improved.

Abstract: The present disclosure provides a method of predicting basal-like breast cancer recurrence in a patient comprising (a) determining the phosphorylation status of at least one protein in a biological sample obtained from the patient; (b) identifying the patient as having a high risk of basal-like breast cancer recurrence if the phosphorylation status of the at least one protein is over-phosphorylated or under-phosphorylated as compared to a control; and (c) optionally administering to the patient a therapeutically effective amount of a chemotherapeutic if the patient is classified as having a high risk of basal-like breast cancer recurrence. Also disclosed herein are methods of treating a patient wherein the patient has been identified as having a high risk of basal-like breast cancer recurrence and kits for use in predicting basal-like breast cancer recurrence and/or prognosing basal-like breast cancer.

Abstract: Systems and methods for utilizing Large Language Models (LLMs) for improving machine learning models in network and computer security include obtaining tabular data related to an aspect of networking and computer security; converting the tabular data to natural language for each row in the tabular data; inputting the natural language for each row in the tabular data into a Large Language Model (LLM); obtaining an output from the LLM for each row in the tabular data with embedded data therewith; and utilizing the output to train a machine learning model related to the aspect of networking and computer security

Abstract: Example methods and systems for dynamic site selection in a global server load balancer (GSLB) environment are described. In one example, a computer system may obtain first health information from a first entity and second health information from a second entity. The first health information may be generated based on multiple first traffic flows between (a) multiple first client devices and (b) a first pool of backend servers. The second health information may be generated based on multiple second traffic flows between (a) multiple second client devices and (b) a second pool of backend servers. In response to receiving a request to access the service, the computer may select a selected site based on the first health information and/or second health information. A response may be generated and sent to cause a third client device to access the service by directing a third traffic flow towards the selected site.

Abstract: The present disclosure discloses a static mixer assembly (100) having a fluid mixing device (104). The fluid mixing device (104) includes a central blade (104A) having a twisted spiral structure, and a plurality of peripheral blades (104B, 104B?) each having the twisted spiral structure and abuts the central blade (104A). The twisted spiral structure of the central blade (104A) is formed in a clockwise or an anti-clockwise direction along a longitudinal axis (XX?) and the twisted spiral structure of each of the plurality of peripheral blades (104B, 104B?) is formed in an opposite direction with respect to the central blade (104A) along the longitudinal axis (XX?).

Abstract: In conventional networked computing systems, stream-processing software is utilized to handle real-time data feeds. For example, a stream-processing software may sort incoming data feeds into data logs, which are then consumed by various application servers within the computing system. However, this consumption process is susceptible to failure as application servers often fail to consume a full payload of data comprising a particular message. As such, a need exists for a streaming architecture with improved fault tolerance. The system provided herein solves the problem via a reliable streaming process, which regularly generates partitions within a series of data lakes. As streaming data is received, the payloads are synced into the different data lakes based on metadata associated with the streaming data. The system can then perform individual quality checks on each partition of data, enabling the system to continuously monitor data quality over time.

Abstract: This invention, in one aspect, relates generally to methods for optically modulating pain in animals and human. The invention provides method for the use of opsin for modulating pain, wherein optical stimulation of specific neurons and/or other cells in targeted regions of the nervous system sensitized by opsin, using genetic technologies, leads to significant reduction of pain perception to noxious stimuli. Further, the invention provides a method for inhibition of pain without use of exogenous opsin, wherein visual stimulation of eye (having endogenous opsin) is carried out. The invention also includes device(s) for controlled modulation neural and/or cellular activities in brain, eye and peripheral nervous system in order to treat different forms of chronic pain.

Abstract: This invention relates to a food assessment device. The food assessment device includes a turntable plate for accommodating a food item. The food assessment device further includes a lid enclosing the turntable plate. Further, surface of the lid includes at least one Artificial Intelligence (AI) enabled camera to capture one of video data, or image data of the food item for identifying the food item, a set of Near Infrared (NIRED) sensors for determining chemical composition of the food item, at least one Light Detecting and Ranging (LIDAR) sensor for determining volume of the food item. It should be noted that each of the at least one AI enabled camera, the set of NIRED sensors, and the at least one LIDAR sensor faces towards the food item and scans the food item until the turntable plate completes a rotation.

Abstract: Example methods and systems for connection establishment in a global server load balancer (GSLB) environment are described. In one example, a computer system may establish a first connection with a first entity and a second connection with the second entity. The first connection may be established based on first parameter information that includes a shared certificate and a first identifier (ID). The second connection may be established based on second parameter information that includes the shared certificate and a second ID. The shared certificate may be shared by multiple entities that include the first entity and a second entity. In response to receiving a first request, a first response may be generated and sent towards the first entity via the first connection. In response to receiving a second request, a second response may be generated and sent towards the second entity via the second connection.

Abstract: A data privacy system and method is disclosed. The method includes providing at least one processor, at least one memory device including computer-readable instructions, and at least one user device in communication with the at least one processor via a network connection. The at least one processor, upon execution of the computer-readable instructions, is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of one or more users. The predictive model is configured to predict at least one predicted data privacy and/or data portability measure of at least one of the users. At least one quick response code embedded with data or a link to the data based upon the at least one predicted data privacy and/or data portability measure is generated to provide enhanced data privacy protection and data portability.

Abstract: An interface device distributes data from a plurality of input data streams to a smaller number first data streams, and periodically inserts a set of alignment markers (AMs) into the first data streams. After using the AMs, the interface device removes the AMs and reinserts the AMs at particular positions. A forward error correction (FEC) encoder encodes data corresponding to the first data stream to generate FEC codewords and distributes data from the FEC codewords to multiple outputs streams. Within the output streams, the AMs are located at FEC codeword boundaries and bits of a first AM, among the set of AMs, are spread across multiple outputs stream. A single output data stream is generated based on the multiple output streams of the FEC encoder.

Abstract: A method, apparatus, non-transitory computer readable medium, and system for media processing includes obtaining a text prompt and a style input, where the text prompt describes image content and the style input describes an image style, generating a text embedding based on the text prompt, where the text embedding represents the image content, generating a style embedding based on the style input, where the style embedding represents the image style, and generating a synthetic image based on the text embedding and the style embedding, where the text embedding is provided to the image generation model at a first step and the style embedding is provided to the image generation model at a second step after the first step.