Abstract: A method includes generating a plurality of binary feature maps containing a set of feature map values including a first binary value and/or a second binary value, by at least converting each input value of a set of input values of a plurality of input feature vectors to the first binary value when the corresponding input value is the zero value or the second binary value when the corresponding input value is the non-zero value. The method includes segmenting the plurality of binary feature maps into a plurality of segments representing behavior profiles. Each segment includes at least one subsegment in which the set of feature map values is the same for all binary feature maps in the at least one subsegment. The method includes predicting, based on a segment of the plurality of segments, a specific outcome. Related methods and articles of manufacture are also disclosed.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that implement a cross-platform flexible data model for dynamic storage, management, and retrieval of high-volume object data, including multi-modal machine learning datasets. Indeed, in one or more implementations, the disclosed systems operate across a variety of different non-tabular media and multiple different digital repository platforms, to efficiently and flexibly store, manage, and retrieve machine learning datasets by utilizing a dynamic cross-platform metadata database and cross-platform file location database. In particular, the disclosed systems can dynamically evolve metadata for data files of various machine learning datasets and independently manage storage locations across digital repository platforms by maintaining and utilizing a centralized cross-platform metadata database and corresponding cross-platform file location database.

Abstract: A universal mounting system for a hard hat is provided that includes front and rear mounting locations and auxiliary ridges on either side. A visor is coupled to the hard hat mounting system in such a way as to provide access with minimal interference from the visor to the equipment attached to the mounting locations and ports in the auxiliary ridges. Various embodiments of visors enable modular designs that incorporate different materials and features of the visor. Parallel stretch zones enable folding and holding opposite brims of the visor. Enclosed elastic areas along the inner sides of visor provide user access to auxiliary ridges. Combinations of various accessories on hard hat and how the accessories work together on the universal mounting system are discussed: such as the interaction between visors, earmuffs, face shields, and lamps.

Abstract: Methods and systems that pertain to predicting cancer biomarkers are disclosed. In some embodiments of the disclosed technology, a method of determining the presence of a biomarker of a biological sample includes providing a section of a biological sample, wherein the section of the biological sample has been treated with a stain, imaging one or more regions of the stained section of the biological sample at a first resolution and a second resolution thereby generating a first and second plurality of image data, reducing a parameter space of the first and second plurality of image data, thereby producing a reduced first and second plurality of image data, and determining the presence of a biomarker of the biological sample as an output of a trained predictive model when the trained predictive model is provided an input of the reduced first and second plurality of image data.

Abstract: Techniques are described herein that are capable of performing AI-based conversion of a natural language prompt (“prompt”) to a system-specific segment definition using entity reduction and renaming. The prompt requests data that satisfies a search criterion from a database that stores entities having entity names. Each entity name not satisfying a relevance criterion is changed based on content of the respective entity. An AI model is caused to determine a first subset of the entity names that is relevant to the prompt by providing a first AI prompt, the prompt, and the entity names as first inputs to the AI model. The AI model is caused to convert the prompt to the system-specific segment definition, which conforms to a particular format, by providing a second AI prompt, the prompt, information regarding the particular format, and the first subset of the entity names as second inputs to the AI model.

Abstract: A computer-implemented method for generating a classifier, comprising: assigning a plurality of hierarchies of tags to a collection of training examples, wherein a higher level tag of the plurality of hierarchies of tags comprises a set of lower level tags; associating, in the classifier, a plurality of latent features with each of the plurality of hierarchies of tags, respectively; constructing a plurality of loss functions, wherein each loss function is associated with each level of the plurality of hierarchies of tags and associated latent features of the classifier, wherein the loss function aggregates a plurality of binary cross entropy for each member of a level of tags and associated latent features; and training the classifier by minimizing the loss functions for each level of the plurality of hierarchies of tags and associated latent features of the classifier.

Abstract: Disclosed herein are anti-lymphocyte antigen 6 complex, locus H (LY6H) antibodies and antibody drug conjugates (ADCs), including compositions and methods of using said antibodies and ADCs.

Abstract: Protocol detection circuits for detecting the field device protocol of a field device attached to a channel having a data line are sequentially connected to the data line by a controller that communicates to the field device through the protocol detection circuits. The protocol detection circuits are disconnected from the field device after protocol detection is completed. The channel may be one of a number of channels; the controller may also connect and disconnect the protocol detection circuits from the one channel whereby the protocol detection circuits can be used with any channel. After the protocol of the field device is identified a protocol adapter can be inserted into the channel to enable data conversion between the field device protocol and an another protocol used by the channel for data transmission.

Abstract: In one aspect, a hydraulic system for a work vehicle includes a valve assembly that incorporates a bypass line for allowing pressurized fluid to bypass a valve of the valve assembly and be delivered to a separate downstream valve.

Abstract: In an embodiment, a method automatically determines a networked data center architecture. In the method, a database describing capabilities of a data center provider is assembled. The database describes capabilities of a plurality of data centers of the data center provider. A specification of requirements for the networked data center architecture is received. The specification describes data processing and connectivity requirements of a customer of a data center provider. The database is searched to determine a solution including a plurality of connections and data center that satisfy the specification. Based on the searching, the solution is output as a recommendation to provide the networked data center architecture. In another embodiment, options for a networked data center architecture are visualized. In yet another embodiment, API calls are made to provision the networked data center architecture.

Abstract: A method for treating silage to enhance the aerobic stability by increasing the fermentation and stabilization of silage is disclosed. The method comprises treating silage or feed with a composition comprising one or more of a Lactobacillus brevis (Levilactobacillus brevis) strain LB7148, deposited as Patent Deposit No. NRRL B-67991 and Lactobacillus buchneri (Lentilactobacillus buchneri) strain LN7149, deposited as Patent Deposit No. NRRL B-67992, including mixtures or mutant(s) thereof which retain their silage preservative activity and/or or the anti-Acetobacter spp. components produced by LB7148 and LN7149, respectively. The strains of Lactobacillus buchneri (Lentilactobacillus buchneri) and Lactobacillus brevis (Levilactobacillus brevis) disclosed herein have been purified, isolated, and when applied to pre-ensiled plant material found to inhibit the growth of Acetobacter spp. and to improve aerobic stability of silage.

Abstract: A hybrid firmware-first/operating-system-first error handling system includes a Basic Input/Output System (BIOS) subsystem coupled to a processing system. The BIOS subsystem begins an initialization process for a computing device and, in response, configures the processing system to perform processing system firmware-first error handling operations and, for any errors that are detected during at least a portion of the initialization process, performs BIOS firmware-first error handling operations.

Abstract: An operating-system-first error handling system includes an operating system subsystem coupled to a BMC device including a shared memory subsystem, and to a reserved memory subsystem storing error handling information that is configured to direct the storage of error information in the shared memory subsystem in the BMC device. The operating system subsystem identifies a first error and generates first error information for the first error. The operating system subsystem then accesses the error handling information and, based on the error handling information, stores the first error information generated for the first error in the shared memory subsystem included in the BMC device. The operating system subsystem then notifies the BMC device of the first error information stored in the shared memory subsystem. The BMC device may then access the first error information in the shared memory subsystem and transmit the first error information to a computing device management system.

Abstract: A method of forming a composite component includes laying up a plurality of composite plies around a mandrel assembly to form a composite ply core. The mandrel assembly includes a mandrel having an inner structural body and an outer release layer. The mandrel is configured to form a cavity in the composite ply core. The method also includes processing the composite ply core containing the mandrel assembly to compact the plurality of composite plies together. Further, the method includes removing the mandrel assembly from the composite ply core to form the cavity. Further, removing the mandrel assembly from the composite ply core includes melting out the inner structural body and removing the outer release layer after melting out the inner structural body.

Abstract: Methods, systems, and computer program products are provided that automatically scale an application between private and public cloud computing platforms, while simultaneous enforcing policies ensuring private data is persistently stored on the private cloud computing platform, but not the public cloud computing platform. A traffic manager on the public platform routes traffic to instances of a web app executing on a private platform. A traffic monitor on the private platform monitors performance criteria of the private platform, and reports traffic telemetry to the traffic manager. Based on the traffic telemetry, the traffic manager may instantiate one or more instances of the web app on the public platform to handle traffic. Private data gathered by such instantiated instance(s) is persisted to storage in the private platform, but not in the public platform.

Abstract: Disclosed herein are anti-immunoglobulin-like transcript-3 (ILT3) antibodies and antibody drug conjugates (ADCs), including compositions and methods of using said antibodies and ADCs.

Abstract: A method for hazard detection and fire prevention during mobile refueling operation includes: accessing a geospatial position of a mobile refueling platform; detecting the geospatial position within a geospatial region as a first condition in a set of conditions, the geospatial region permitted for refueling operation; accessing a distance between the mobile refueling platform and a surface of an object proximal the mobile refueling platform; detecting the distance exceeding a distance threshold as a second condition in the set of conditions; accessing a concentration of a gas proximal the mobile refueling platform; detecting the concentration falling below a concentration threshold as a third condition in the first set of conditions; and in response to the set of conditions corresponding to a set of target conditions for mobile refueling operation, transmitting a control signal to open a fuel valve of the mobile refueling platform.

Abstract: A system and method for analyzing coverage, bias and model explanations in large dimensional modeling data includes discretizing three or more variables of a dataset to generate a discretized phase space represented as a grid of a plurality of cells, the dataset comprising a plurality of records, each record of the plurality of records having a value and a unique identifier (ID). A grid transformation is applied to each record in the dataset to assign each record to a cell of the plurality of cells of the grid according to the grid transformation. A grid index is generated to reference each cell using a discretized feature vector. A grid storage for storing the records assigned to each cell of the grid is then created. The grid storage using the ID of each record as a reference to each record and the discretized feature vector as a key to each cell.

Abstract: A text dialogue between a first user and a second user is obtained. Based on an analysis of the text dialogue, workflows that are relevant to the text dialogue are identified. A list of the workflows is provided to a client device associated with the first user. An indication of a selection of a particular workflow from the list of the workflow is received from the client device associated with the first user. Based on the particular workflow, a communication session is established between the second user and an automated chatbot associated with the particular workflow.

Abstract: In some embodiments, the present invention provides an exemplary computer system that includes at least the following components: at least one processor; a non-transitory memory storing software instructions; and where, when executing the software instructions by the processor, the computer system is configured to perform at least: controlling a plurality of first software objects; controlling a plurality of second software objects; controlling a plurality of third software object; where each software object includes at least one property programmed with at least one trigger condition and at least one programmed action; where the at least one pre-programmed action is configured to dynamically change a value of at least one property of at least one other software object based on: i) the at least one trigger condition; and ii) a value of at least one other property.