Abstract: A battery manager for a battery is disclosed. The battery manager comprises a battery charger configured to provide a first output voltage in a first voltage range, a buck-boost direct current to direct current (DC to DC) converter switchably coupled to the battery charger, and a bypass line switchably coupled between the battery charger and the battery for bypassing the buck-boost DC to DC converter. The battery manager further comprises a controller configured to electrically route the first output voltage of the battery charger to the battery via the bypass line when a voltage requirement of the battery is within the first voltage range. The controller is further configured to electrically route the first output voltage of the battery charger to the battery via the buck-boost DC to DC converter when the voltage requirement of the battery is outside the first voltage range.

Abstract: Aspects of the disclosure relate to hierarchical based decryption. A computing platform may receive, from a first user, a request to encrypt a file. The computing platform may generate, for the file, a symmetric key. The computing platform may encrypt, using the symmetric key, the file. The computing platform may receive, from a second user, a request to decrypt the encrypted file. The computing platform may identify a classification of the encrypted file, which may be one of: personal, proprietary, or company related. Based on identifying a proprietary classification, the computing platform may obtain an employee hierarchy corresponding to the first user, compare the second user to the employee hierarchy, and based on identifying that the first user is included in the employee hierarchy: decrypt, using the symmetric key, the encrypted file, and grant the second user access to the file.

Abstract: This disclosure introduces a novel method and system for using a large language model (LLM) to create a convenient interface for a complex database. The system includes a custom prompt generator that creates custom prompts from natural language queries. The custom prompts are used to control how the LLM interacts with a database look-up tool. The database look-up tool provides queries to the database in a format understandable by the database and receives responses from the database. This system is useful for obtaining information that is not in a natural language, and thus, is poorly suited for being processed as an embedding by the LLM. Information obtained from the database is included in an answer produced by the LLM.

Abstract: This disclosure describes a causal query system that determines causal outcomes for agriculture-based causal queries using one or more deep causal machine-learning models, including deep multimodal causal machine-learning models. For example, the causal query system generates one or more deep causal machine-learning models to determine targeted causal outcomes based on combinations of treatments and covariates. Additionally, in many instances, these deep causal machine-learning models also allow for various types of data input, such as overhead images and unstructured data.

Abstract: A composition including (A) at least one polymer with an average molecular weight Mw of at least 1,500 g/mol including, as repeating units, structural units according to general formula (I) where Z1 are the same or different and selected from hydrogen and methyl, R1 are the same or different and selected from C2-C6-alkyl, C6-aryl and C5-heteroaryl, each substituted with at least one acidic group selected from COOH groups and SO3H groups and their respective alkali metal salts, and, optionally, with hydroxy, C1-C4-alkyl or —NR2aR2b, R2a and R2b are the same or different and selected from H, C1-C4-alkyl, or NR2aR2b together form a C5-C6-cycloalkylenamino or a 1-imidazole group, n is in a range of from 3 to 100, X1 is selected from O and N—R3, with R3 being selected from hydrogen and methyl, A1 are the same or different and selected from C2-C6-alkylene and (AO)y1, with AO being selected from ethylene oxide and propylene oxide and combinations thereof, and y1 being from 2 to 200.

Abstract: This disclosure describes utilizing a causal query system to determine causal outcomes for domain-specific causal queries using a framework that includes causal graphs for targeted domains, a large generative model (LGM), and other models or systems. In various implementations, the causal query system provides a framework that includes generating domain-specific causal graphs, encoding or mapping the causal graphs with local data values, and using the encoded causal graphs to determine causal outcomes to causal queries. In some implementations, the causal query system uses the LGM and data resources (e.g., external sources) to populate missing values of an embedded causal graph before using the causal graph to determine causal outcomes.

Abstract: Disclosed are various approaches for providing incentive programs for certain kinds of activities conducted in a client account. A selection of a first record from a plurality of records presented through a user interface is received. Then a message is sent to a program service, the message comprising record data associated with the first record. Next, a program-qualified category of the plurality of records and a program-unqualified category of the plurality of records is obtained from the program service. Subsequently, the plurality of records in the user interface is automatically arranged based at least in part on the program-qualified category and the program-unqualified category.

Abstract: A system is configured to train a customer understanding model to generate a preference score for substitution items. The customer understanding model generates a preference score for each of a plurality of related substitution items based on order data including data indicative of at least one item ordered and location data indicating a location of a first store. The customer understanding model ranks each of the substitution items based on the preference score. Order data is transmitted including substitution data identifying each of the substitution items and corresponding rank. Performance data associated with a set of operations implemented based on the order data and the substitution data is obtained. An updated customer understanding model is trained based on the performance data and iteratively modified based on the updated training dataset and updated performance metrics generated from second performance data.

Abstract: A secondary battery includes: a positive electrode; a negative electrode including a negative electrode active material layer on which a film including an organic substance is formed; and an electrolytic solution including a sulfur-containing cyclic compound, a fluorinated cyclic carbonic acid ester, an unsaturated cyclic carbonic acid ester, and a multi-nitrile chain compound.

Abstract: A secondary battery includes a positive electrode, a negative electrode, and an electrolytic solution. The positive electrode includes a positive electrode active material layer. The positive electrode active material layer includes N-methyl-2-pyrrolidone. Where the positive electrode active material layer is divided equally in a width direction into two end regions and two middle regions located between the two end regions, a ratio of a content of N-methyl-2-pyrrolidone in the two middle regions to a content of N-methyl-2-pyrrolidone in the two end regions is greater than or equal to 4 and less than or equal to 8.

Abstract: An internal combustion engine piston includes a crown defining an annular cavity between an inner wall and an outer wall. The annular cavity includes an opening opposite a top wall and at least partially defines a cooling gallery. A cover plate is assembled with the annular cavity and the piston crown to form a lower boundary of the cooling gallery and thereby enclose the cooling gallery within the piston crown. The cover plate includes a plurality of crests separated by a plurality of troughs wherein the crests and troughs are arranged to create a variable volume profile of the cooling gallery. The variable volume profile of the cooling gallery can increase or decrease annularly around the piston based on a cross-sectional shape of the cover plate. Optionally, the cover plate includes one or more inlets or outlets for exchanging fluid in the cooling gallery.

Abstract: The present invention relates to the pyrrolidine substituted with flavone derivatives, represented by the compounds of Formula (I) or a pharmaceutically acceptable salt, a solvate, a stereoisomer or a diastereoisomer thereof for use in the treatment of cancers associated with human papillomavirus. The present invention also relates to the pharmaceutical compositions containing the compounds of Formula (I) for the treatment of cancers associated with human papillomavirus.

Abstract: Disclosed herein is a liquid pharmaceutical formulation substantially free of water, comprising: (i) amlodipine or a pharmaceutically acceptable salt thereof, (ii) at least one pharmaceutically acceptable excipient, and (iii) a sufficient amount of a vehicle comprising glycerin. Also disclosed herein is a liquid pharmaceutical formulation substantially free of water and ethanol, comprising: (i) amlodipine or a pharmaceutically acceptable salt thereof, (ii) at least one pharmaceutically acceptable excipient, and (iii) a sufficient amount of a vehicle comprising glycerin.

Abstract: Systems for and methods of assessing the priority of a customer reported issue include receiving input regarding a customer issue experienced by a customer; calculating an incident grievance score by inserting the received input into a machine learning model; assigning a priority to the customer issue based on the calculated incident grievance score; receiving updated input regarding the customer issue; periodically recalculating the incident grievance score for the customer issue by inserting the received input and the updated input into the machine learning model; changing the priority of the customer issue when the recalculated incident grievance score differs from the calculated incident grievance score; and notifying a team assigned to fix the customer issue when the priority of the customer issue changes.

Abstract: Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and/or request bodies, structuring user-generated content, and/or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and/or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Abstract: Provided is antibodies and antibody variants that specially bind oncofetal chondroitin sulfate. Also provided is conjugates, fusion proteins, and CAR-T cells comprising the antibodies or antibody variants, as well as methods and use of these agents for therapeutic and diagnostic purposes, in particular for treatment and diagnosis of cancer.

Abstract: A centralized skills management server, a computer-readable storage medium, and a computer-implemented method for standardized skill tagging are described herein. The method includes accessing, via a processor of the computing system, a property graph including data objects corresponding to a tenant and extracting skills-related terms from object metadata corresponding to the data objects within the property graph. The method also includes interfacing with a global skills graph via an API and importing standardized skill tags from the global skills graph, where the imported standardized skill tags relate to the extracted skills-related terms from the object metadata. The method further includes incorporating the standardized skill tags into the object metadata for the corresponding data objects within the property graph.

Abstract: A Generative Artificial Intelligence (Gen. AI) based chatbot apparatus implements classical AI models and Generative AI models to answer user queries with results retrieved from relational databases and unstructured knowledge bases. When a user query is received, it is determined if the intent of the user query can be determined with a confidence greater than a configured confidence limit. If yes, a structured query mapped to the intent is employed to answer the user query. If the intent determination confidence is less than the configured confidence limit then Gen. AI-based techniques using a plurality of LLMs are used to respond to the query. A Gen. AI switch is also implemented to switch between the plurality of LLMs to answer user queries with greater accuracy.

Abstract: Electric vehicle battery monitoring systems and methods are disclosed herein. An example method includes displaying a state of charge for a battery of an electric vehicle on a display screen of the electric vehicle, determining a frequency of how often a user views the state of charge, inferring that the user has anxiety over a range for the electric vehicle based on the frequency, and presenting the user with options to extend the state of charge.