Abstract: The disclosure relates to insecticidal toxin resistance management and screening of novel insecticidal toxins. One embodiment relates to the isolation, characterization, compositions, and methods of use relating to polynucleotides encoding novel insecticidal toxin receptors and the polypeptides encoded thereby. The polynucleotides and polypeptides are useful in identifying or designing novel insecticidal toxin receptor ligands including novel insecticidal toxins.

Abstract: Methods, systems, and computer-readable storage media for improving the accuracy of embedding vector generation for domain-specific text for purposes of semantic search and generative AI. A dictionary of domain-specific terms can be built to include embedding vectors generated for respective domain-specific terms using a pre-trained large language model. A list of domain-specific terms pertaining to a particular domain can be identified and textual content comprising a description or a definition of a respective domain-specific term can be obtained. A domain-adapted embedding vector for each domain-specific term can be generated based on the textual content for that term. The domain-specific dictionary can be built to include a combination of a domain-specific term, a corresponding domain-adapted embedding vector and the domain-specific term definition or description.

Abstract: Embodiments of a system and a method for classifying blocks of text at varying, possibly simultaneous, and possibly interacting levels of scope (e.g., sentence, paragraph, section, document) are disclosed. A system includes a processor coupled to: a data reader to receive an input comprising of a data stream, and convert the data stream into one or more logical data blocks of varying scopes. The system includes a dependency tree generator to create a dependency tree to define the scope and dependencies of each of a plurality of natural language processors (NL Processors) with respect to each other such that the dependency tree identifies when an input of a NL Processor (depender) depends on an output of another NL Processor (dependee). Each NL Processor is configured based on a type of at least one logical data block of the one or more logical blocks to which it applies.

Abstract: System, methods, apparatuses, and computer program products are disclosed for auto-scaling of a deployment based on resource utilization data for a workload executing on the deployment. A resource availability is determined based on the resource utilization data and a current resource allocation of the deployment. A severity of resource throttling of the workload may be determined based on the resource utilization data, and a scaling factor is determined based at least on the severity of resource throttling. In response to at least the resource availability satisfying a predetermined condition with a predetermined threshold, the deployment is scaled based on the scaling factor.

Abstract: Compositions and methods for controlling pests are provided. The methods involve transforming organisms with a nucleic acid sequence encoding an insecticidal protein. In particular, the nucleic acid sequences are useful for preparing plants and microorganisms that possess insecticidal activity. Thus, transformed bacteria, plants, plant cells, plant tissues and seeds are provided. Compositions are insecticidal nucleic acids and proteins of bacterial species. The sequences find use in the construction of expression vectors for subsequent transformation into organisms of interest including plants, as probes for the isolation of other homologous (or partially homologous) genes. The pesticidal proteins find use in controlling, inhibiting growth or killing Lepidopteran, Coleopteran, Dipteran, fungal, Hemipteran and nematode pest populations and for producing compositions with insecticidal activity.

Abstract: Methods, systems, and computer-readable storage media for improving the accuracy of embedding vector generation for domain-specific text for purposes of semantic search and generative AI. A dictionary of domain-specific terms can be built to include embedding vectors generated for respective domain-specific terms using a pre-trained large language model. A list of domain-specific terms pertaining to a particular domain can be identified and textual content comprising a description or a definition of a respective domain-specific term can be obtained. A domain-adapted embedding vector for each domain-specific term can be generated based on the textual content for that term. The domain-specific dictionary can be built to include a combination of a domain-specific term, a corresponding domain-adapted embedding vector and the domain-specific term definition or description.

Abstract: Embodiments of a system and a method for classifying blocks of text at varying, possibly simultaneous, and possibly interacting levels of scope (e.g., sentence, paragraph, section, document) are disclosed. A system includes a processor coupled to: a data reader to receive an input comprising of a data stream, and convert the data stream into one or more logical data blocks of varying scopes. The system includes a dependency tree generator to create a dependency tree to define the scope and dependencies of each of a plurality of natural language processors (NL Processors) with respect to each other such that the dependency tree identifies when an input of a NL Processor (depender) depends on an output of another NL Processor (dependee). Each NL Processor is configured based on a type of at least one logical data block of the one or more logical blocks to which it applies.

Abstract: Compositions and methods for controlling pests are provided. The methods involve transforming organisms with a nucleic acid sequence encoding an insecticidal protein. In particular, the nucleic acid sequences are useful for preparing plants and microorganisms that possess insecticidal activity. Thus, transformed bacteria, plants, plant cells, plant tissues and seeds are provided. Compositions are insecticidal nucleic acids and proteins of bacterial species. The sequences find use in the construction of expression vectors for subsequent transformation into organisms of interest including plants, as probes for the isolation of other homologous (or partially homologous) genes. The pesticidal proteins find use in controlling, inhibiting growth or killing Lepidopteran, Coleopteran, Dipteran, fungal, Hemipteran and nematode pest populations and for producing compositions with insecticidal activity.

Abstract: The disclosure provides nucleic acids, and variants and fragments thereof, derived from strains of Bacillus thuringiensis encoding variant polypeptides having increased pesticidal activity against insect pests, including Lepidoptera and Coleopteran. Particular embodiments of the disclosure provide isolated nucleic acids encoding pesticidal proteins, pesticidal compositions, DNA constructs, and transformed microorganisms and plants comprising a nucleic acid of the embodiments. These compositions find use in methods for controlling pests, especially plant pests.

Abstract: The disclosure relates to insecticidal toxin resistance management and screening of novel insecticidal toxin receptors for insect resistance. One embodiment relates to the isolation, characterization, compositions, and methods of use relating to polynucleotides encoding novel insecticidal toxin receptors and the polypeptides encoded thereby. The polynucleotides and polypeptides are useful in identifying or designing insect pest management strategies.

Abstract: The disclosure relates to insecticidal toxin resistance management and screening of novel insecticidal toxins. One embodiment relates to the isolation, characterization, compositions, and methods of use relating to polynucleotides encoding novel insecticidal toxin receptors and the polypeptides encoded thereby. The polynucleotides and polypeptides are useful in identifying or designing novel insecticidal toxin receptor ligands including novel insecticidal toxins.

Abstract: Examples of automatically generating natural language pipelines to process an input to generate tags, semantic or syntactic, are described. In an example, on receiving a request to process input data to generate tags, a dependency graph, based on identified dependees and further dependees may be created to satisfy the request, the dependency graph including natural language operations arranged in order of their dependencies on each other. Based on the dependency graph, a pipeline for the tags may be automatically generated, which includes a series of natural language operations such that the operations for dependee tags are processed before any of their associated depender tags.

Abstract: A device may receive a user-specified query, and may construct the user-specified query as a query tree of operators that include zero or more operands. The device may produce, for each of the operators, a weight that indicates how valuable or confident a determination of relevancy of each of the operators is in relation to siblings in the query tree. The device may normalize the weights for the siblings in the query tree with a parent operator according to a normalization formula. The device may produce, for each of the operators, a score, normalized to a value from zero to one and computed for the document, that represents how relevant the document is to the user-specified query. The device may apply the query tree to the document as a whole as well as to positions within the document to determine the final normalized score for the document.

Abstract: The disclosure relates to Bt toxin resistance management. One embodiment relates to the isolation and characterization of polynucleotides and polypeptides corresponding to novel Bt toxin receptors. The polynucleotides and polypeptides are useful in identifying or designing novel Bt toxin receptor ligands including novel insecticidal toxins.

Abstract: Examples for efficiently representing, processing and deciding amongst multiple ambiguous interpretations of human natural language text are described. Processing includes creating and augmenting an “interpretation graph” which represents all known ambiguous interpretations of some natural language text. The interpretation graph is made of vertices (junction points which lead to alternative interpretations) and ‘lexical items’ (natural language objects representing data blocks, tokens, word parts, phrases, clauses, parts of speech, entities, or semantic interpretations) that represent alternative ambiguous interpretations of portions of the text. The examples show a set of simple operations for augmenting the interpretation graph to create alternative interpretations.

Abstract: A device may receive a user-specified query, and may construct the user-specified query as a query tree of operators that include zero or more operands. The device may produce, for each of the operators, a weight that indicates how valuable or confident a determination of relevancy of each of the operators is in relation to siblings in the query tree. The device may normalize the weights for the siblings in the query tree with a parent operator according to a normalization formula. The device may produce, for each of the operators, a score, normalized to a value from zero to one and computed for the document, that represents how relevant the document is to the user-specified query. The device may apply the query tree to the document as a whole as well as to positions within the document to determine the final normalized score for the document.