Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for modifying paths in digital vector images according to similar path geometries in the digital vector images. The disclosed system generates a path cache comprising path information for a plurality of connected path sets within a digital image. The disclosed system also determines, from the plurality of connected path sets, one or more candidate path sets including path information in the path cache within a threshold error of path information of a selected connected path set including an anchor point in the digital image. The disclosed system modifies, utilizing the path cache, the path information of the selected connected path set utilizing path information of a candidate path set of the one or more candidate path sets.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to test an automated query language by interfacing with a query endpoint, generating a first test suite based on a plurality of combinations of a plurality of attributes corresponding to an API specification, transmitting the first test suite to be executed on the query endpoint, the first test suite to include instructions to cause the query endpoint to access data stored in a database accessible to a plurality of secondary endpoints, obtaining a response time corresponding to the access of the data, comparing the response time corresponding to the access of the data with a service level agreement required response time, and in response to the response time corresponding to the access of the data being longer than the service level agreement required response time, notifying a developer of the plurality of secondary endpoints.

Abstract: The present disclosure discloses a herbal composition comprising herbal composition comprising a Vitex negundo aqueous leaf extract powder; a supercritical CO2 Zingiber officinale rhizome oleoresin; and pharmaceutical acceptable carrier wherein the ratio of Vitex negundo aqueous leaf extract powder to supercritical CO2 Zingiber officinale rhizome oleoresin to pharmaceutical acceptable carrier is in the range of 80:20:0 to 89:9:2. The present disclosure also discloses a process of preparation of a herbal composition. The present herbal composition is clinically proven effective for reducing acute or chronic musculoskeletal pain, alleviating physical-activity induced joint pain such as mechanical loads on joints, reducing exercise-induced knee joint pain and chronic non-specific low back pain and related dysfunction.

Abstract: The present invention provides an improved process for lipid nanoparticle formulation and mRNA encapsulation. In some embodiments, the present invention provides a process of encapsulating messenger RNA (mRNA) in lipid nanoparticles comprising a step of combining a solution of preformed lipid nanoparticles with lipid nanoparticles encapsulating mRNA, resulting in a composition of increased potency of mRNA encoded protein expression in vivo.

Abstract: Systems and methods for determining a reparability of a vehicle are provided. In some embodiments, vehicle data is obtained, and a list of variables is generated from the obtained data. A machine learning algorithm may then be trained to generate a reparability metric by: (i) generating correlation metrics between the variables and costs to repair the vehicle, (ii) removing variables with correlation metrics below a threshold, and (iii) training the machine learning algorithm based upon unremoved variables.

Abstract: Disclosed herein are biocomposites which may be formed from compositions comprising: at least one monomer suitable for photopolymerisation; a photoinitiator, and a filler composition comprising at least one inorganic compound. The biocomposites may be formed in a process comprising 3D printing. Also disclosed herein are potential applications of the compositions and biocomposites, including in the optional treatment of bone defects or the repair of a portion of bone in a subject.

Abstract: A method includes: generating a set of tasks; determining, by a machine learning model and based on multiple data types from multiple sources, that an overall risk score exceeds a first failure threshold due to a risk score of a task exceeding a second threshold; selecting a replacement task for the task, the selecting including: receiving, replacement candidates, each replacement candidate including a candidate offset potential and one or more candidate failure mechanisms; assigning, by the machine learning model and to each of the replacement candidates, a replacement score for the replacement candidate based on a failure correlation of the replacement candidate with respect to each other sets of the set of tasks; ranking the replacement candidates based on the replacement scores; and selecting, based on the ranking, the replacement task; and generating, an updated set of tasks including the replacement task.

Abstract: A load lock system including an imaging subsystem and an image processing subsystem to capture comprehensive data of a substrate within a load lock chamber. The imaging subsystem can include multiple imaging elements (e.g. cameras or image sensors), to capture image data of a substrate. The image processing subsystem can process the image data with a number of computer vision, or feature extraction techniques to identify nonconformities associated with the substrate. These nonconformities can include chips, breaks, scratch, placement errors, orientation errors, or a number of other errors associated with the substrate and substrate components. The image processing subsystem can further output a message indicating any one of these errors have occurred.

Abstract: Monolithic two-dimensional (2D) arrays of double-sided DRAM cells including a frontside bit cell over a backside bit cell. Each double-sided cell includes a stacked transistor structure having at least a first transistor over a second transistor. Each double-sided cell further includes a first capacitor on a frontside of the stacked transistor structure and electrically coupled to a source/drain of the first transistor. Each double-sided cell further includes a second capacitor on a backside of the stacked transistor structure and electrically coupled to a source/drain of the second transistor. Frontside cell addressing interconnects are electrically coupled to other terminals of at least the first transistor while one or more backside addressing interconnects are electrically coupled to at least one terminal of the second transistor or second capacitor.

Abstract: A method, apparatus, system, and computer program code for performing a human resource operation using a context-independent conversational flow. The computer system receives an intended human resource operation from an application executing on a user device, identifies the context-independent conversational flow for performing an intended human resource operation, and calls a structured data object according to the context-independent conversational flow. The computer system interprets the structured data object to produce a business rule output, and generates a context-independent response from the business rule output. The computer system transforms the context-independent response according to a user context to produce a context-specific response, and forwards the context-specific response to a user device for display within a conversational user interface of an application.

Abstract: The present invention provides an improved process for lipid nanoparticle formulation and mRNA encapsulation. In some embodiments, the present invention provides a process of encapsulating messenger RNA (mRNA) in lipid nanoparticles comprising a step of mixing a solution of pre-formed lipid nanoparticles and mRNA at a low concentration.

Abstract: A method includes: receiving, by a computing device, a microservice code from a user device; identifying, by the computing device, a service used by the microservice code; identifying, by the computing device, the service in a target cloud platform; generating, by the computing device, a modified microservice code by adding a predefined code template to the microservice code, the predefined code template being associated with the service in the target cloud platform; receiving, by the computing device, user input defining a value of a parameter in the predefined code template in the modified microservice code; and generating, by the computing device, a new deployment file for the target cloud platform based on the modified microservice code.

Abstract: Systems, methods, and devices seamlessly playback data files using one or more wireless connections. Methods include establishing a first wireless connection and a second wireless connection between a first device and a second device, the first wireless connection using a first communication protocol. Methods further include transmitting audio data via the first wireless connection and determining a switch should be initiated based on one or more signal quality metrics representing an estimate of a quality of the first wireless connection. Methods also include operating the second wireless connection in an active mode and switching to the second wireless connection using a second communication protocol, and the switching comprising beginning encapsulation of the audio data in Bluetooth packets for transmission in accordance with the second communication protocol, wherein the Bluetooth packets are encapsulated in one or more data packets of the second communication protocol.

Abstract: Disclosed herein are methods and systems for training artificial intelligence (AI) models. A central server may train an AI model by outputting, onto an electronic device operated by a user, results of execution of the AI model; monitoring the electronic device to identify a set of interactions between the user and the electronic device while the electronic device is outputting the results; generating a first training dataset corresponding to the user's interactions with the electronic device, the first training dataset corresponding to a frequency of correction of results; generating a second training dataset corresponding to the user's input to a prompt requesting the user to input a numerical value associated with an accuracy of the results; and training the AI model using the first and second training datasets.

Abstract: Control logic in a memory device executes a programming operation to program the set of memory blocks of the set of memory planes to a set of a programming levels. In response to determining at least a portion of a first memory block passed a program verify operation associated with a last programming level of the set of programming levels, the control logic executes a first program sub-operation to terminate the programming operation with respect to a first subset of one or more memory planes of the set of memory planes that passed the program verify operation associated with the last programming level and identify a second subset of one or more memory planes that failed the program verify operation associated with the last programming level. The control logic executes a second program sub-operation to apply a trim set to the second subset of one or more memory planes that failed the program verify operation of the last programming level.

Abstract: Systems and methods include identifying fields associated with a log event of telemetry data and, for each field, selecting a key from multiple keys and generating a field-key mapping that includes a mapping from the fields to the selected key. The systems and methods generate an event log parser extension that includes the field-key mappings and validate the parser extension by testing its performance on sample log events. The systems and methods then execute a base parser and the validated event log parser extension on event logs to convert the event logs into a standardized format and perform data analytics on the standardized event logs to identify trends in the event logs and identify possible threats.

Abstract: Aspects of this invention, inter alia, relate to novel systems for targeting, editing or manipulating DNA in a cell, using novel synthetic RNA-guided nucleases (sRGNs). The sRGNs are derived from wildtype or parental small type II CRISPR Cas9 endonucleases.

Abstract: Disclosed herein are the multiple charged cationic or anionic compounds, methods of making thereof, and articles or compositions comprising thereof. The disclosed multiple charged cationic or anionic compounds are derived from polyamines through two reactions: an aza-Michael addition with an activated olefin having an ionic group and a ring-opening reaction with an epoxide.

Abstract: The present disclosure discloses a calibration slide for calibration of an automated microscope. The slide includes at least one calibration zone defined on at least one major surface of the sample slide. The at least one calibration zone is divided by a cross hair to define a plurality of quadrants. Each of the plurality of quadrants is defined with an array of apertures of varying density of arrays. The automated microscope including the calibration slide of the present disclosure enables corrective maintenance. The method of the present disclosure may be employed across various automated microscopes within a lab or at labs at various locations through offline/online mode to achieve similar results when tested on same sample.

Abstract: The invention relates to a non-aqueous electrolyte composition having a solvent system which comprises a first component which comprises a first organo carbonate-based solvent and a second organo carbonate-based solvent; and a second component which comprises one or more performance additives that includes tris(trimethylsilyl) borate (TMSB). Devices, methods and uses including electrolytes compositions are also disclosed.