Abstract: A document extraction system executed by a processor, may process documents using manual and automated systems. The document extraction system may efficiently route tasks to the manual and automated systems based on a predicted probability that the results generated by the automated system meet some baseline level of accuracy. To increase document processing speed, documents having a high likelihood of accurate automated processing may be routed to an automated system. To ensure a baseline level of accuracy, documents having a smaller likelihood of accurate automated processing may be routed to a manual system.

Abstract: A filtering component for a smoking pipe system having at least a receiving portion with a bore formed from a smoke-receiving first end to an second end, and a filter holder portion which receives at least one filter with one or more side apertures in the filter holder portion. Air flow is directed from the smoke-receiving first end, through the bore, into and through a filter, out the filter and through the side aperture, on its way to a mouthpiece.

Abstract: In some implementations, a device may receive file location information identifying a file to be transferred to a user device associated with the first network provider, wherein the file location information identifies a domain name associated with a second network provider. The device may provide, based on the file location information, a request to obtain one or more records associated with the domain name. The device may receive the one or more records based on the request. The device may selectively obtain, based on the one or more records, the file from a first content device associated with the second network provider or from a second content device associated with a third-party provider. The device may provide the file to the user device.

Abstract: Disclosed herein are isolated and purified Staphylococcus aureus bi-component leukocidin, referred to herein as LukAB, and its components LukA and LukB, antibodies specific to LukA, antibodies specific to LukB, therapeutic compositions containing LukA and/or LukB, or anti-LukA and/or anti-LukB antibodies, uses of the compositions to treat acute inflammatory conditions or S. aureus infection, methods for identifying inhibitors of LukAB-mediated cytotoxicity of human phagocytes, and methods for using LukAB as a marker to predict severity of S. aureus infection.

Abstract: At least one processor may obtain a document comprising text tokens. The at least one processor may determine, based on a pre-trained language model, word embeddings corresponding to the text tokens. The at least one processor may determine, based on the word embeddings, named entities corresponding to the text tokens; and one or more accuracy predictions corresponding to the named entities. The at least one processor may compare the one or more accuracy predictions with at least one threshold. The at least one processor may associate, based on the comparing, the named entities with one or more confidence levels. The at last one processor may deliver the named entities and the one or more confidence levels.

Abstract: Enclosures are used to attenuate noise produced by a high decibel producing device, such as a gas turbine engine or other rotating machinery. However, enclosures that achieve high Sound Transmission Class (STC) ratings are generally expensive and immobile, whereas inexpensive and mobile enclosures are generally incapable of achieving high STC ratings. Accordingly, a composite noise-attenuating panel system is disclosed that can achieve the high STC ratings associated with immobile, site-erected enclosures, using subpanels that are separated by an air gap and an internal filler (e.g., mineral wool), while maintaining the weight, form factor, and ease of use associated with lightweight, modular mobile enclosures.

Abstract: A processor may generate a plurality of intermediate feature layers of an image using convolutional neural network (CNN) processing. For each intermediate feature layer, the processor may generate a plurality of text proposals using a region proposal network (RPN). Each text proposal may comprise a portion of the intermediate feature layer that is predicted to contain text. The processor may perform OCR processing on image data within a plurality of regions of the image to generate a text result for each region. Each region may comprise at least one of the text proposals. The processor may assemble the text results into a text string comprising the text results ordered according to a spatial order in which the plurality of regions appear within the image.

Abstract: The present invention relates to methods for treating and preventing Staphylococcus aureus infection and/or a condition resulting from a S. aureus infection in a subject that involves administering compositions that inhibit S. aureus interaction with CXCR1/CXCR2 and DARC cellular receptors. The present invention further relates to novel compositions for carrying out these and other methods.

Abstract: A processor may generate a plurality of intermediate feature layers of an image using convolutional neural network (CNN) processing. For each intermediate feature layer, the processor may generate a plurality of text proposals using a region proposal network (RPN). Each text proposal may comprise a portion of the intermediate feature layer that is predicted to contain text. The processor may perform OCR processing on image data within a plurality of regions of the image to generate a text result for each region. Each region may comprise at least one of the text proposals. The processor may assemble the text results into a text string comprising the text results ordered according to a spatial order in which the plurality of regions appear within the image.

Abstract: Various arrangements for monitoring and enforcing multi-tier throughput assignments in a network, such as satellite-based communication network, are presented. Throughput usage may be monitored on a beam-level, satellite-level, gateway-level, and system level. Throughput usage for individual satellite terminals may be aggregated and used to determine the throughput usage on an entity-by-entity basis. An entity can have one or more sub-entities to which throughput is allocated. Excessive throughput usage for higher-tier entities can result in throughput being restricted for satellite terminals associated with lower-tier entities.

Abstract: Systems and methods here may be used for pre-processing images, including using a computer for receiving a pixelated image of a paper document of an original size, downscaling the received pixelated image, employing a neural network algorithm to the downscaled image to identify four corners of the paper document in the received pixelated image, re-enlarging the downscaled image to the original size, identifying each of four corners of the paper document in the pixelated image, determining a quadrilateral composed of lines that intersect at four angles at the four corners of the paper document in the pixelated image, defining a projective plane of the pixelated image, and determining an inverse transformation of the pixelated image to transform the projective plane quadrilateral into a right angled rectangle.

Abstract: Systems and methods here may be used for pre-processing images, including using a computer for receiving a pixelated image of a paper document of an original size, downscaling the received pixelated image, employing a neural network algorithm to the downscaled image to identify four corners of the paper document in the received pixelated image, re-enlarging the downscaled image to the original size, identifying each of four corners of the paper document in the pixelated image, determining a quadrilateral composed of lines that intersect at four angles at the four corners of the paper document in the pixelated image, defining a projective plane of the pixelated image, and determining an inverse transformation of the pixelated image to transform the projective plane quadrilateral into a right angled rectangle.

Abstract: The present invention relates to methods and compositions for preventing and treating Staphylococcus aureus in a subject. Therapeutic compositions of the present invention comprise leukocidin E and/or D proteins or polypeptides and anti-leukocidin E and/or D antibodies. The invention further relates to methods of identifying inhibitors of LukE/D cytotoxicity and inhibitors of LukE/D-leukocyte binding.

Abstract: Arbitrary image data may be transformed into data suitable for optical character recognition (OCR) processing. A processor may generate a plurality of intermediate feature layers of an image using convolutional neural network (CNN) processing. For each intermediate feature layer, the processor may generate at least one text proposal using a region proposal network (RPN). The at least one text proposal may comprise a portion of the intermediate feature layer that is predicted to contain text. The processor may merge the text proposals with one another to form a patch of the image that is predicted to contain text. The processor may determine outer coordinates of the patch. The outer coordinates may comprise at least leftmost, rightmost, topmost, and bottommost coordinates. The processor may generate a quadrilateral of the image that is a smallest quadrilateral including the leftmost, rightmost, topmost, and bottommost coordinates.

Abstract: The disclosure is directed to antibodies that bind to Staphylococcus aureus bi-component leukotoxins and/or gamma-hemolysins. Other aspects of the disclosure are directed to pharmaceutical compositions and diagnostic kits containing the leukotoxin and hemolysin antibodies, and therapeutic and diagnostic methods utilizing the leukotoxin and hemolysin antibodies.

Abstract: Various arrangements for monitoring and enforcing multi-tier throughput assignments in a network, such as satellite-based communication network, are presented. Throughput usage may be monitored on a beam-level, satellite-level, gateway-level, and system level. Throughput usage for individual satellite terminals may be aggregated and used to determine the throughput usage on an entity-by-entity basis. An entity can have one or more sub-entities to which throughput is allocated. Excessive throughput usage for higher-tier entities can result in throughput being restricted for satellite terminals associated with lower-tier entities.

Abstract: The present invention relates to methods and compositions for preventing and treating Staphylococcus aureus in a subject. Therapeutic compositions of the present invention comprise leukocidin E and/or D proteins or polypeptides and anti-leukocidin E and/or D antibodies. The invention further relates to methods of identifying inhibitors of LukE/D cytotoxicity and inhibitors of LukE/D-leukocyte binding.

Abstract: A machine learning system executed by a processor may generate predictions for a variety of natural language processing (NLP) tasks. The machine learning system may include a single deployment implementing a parameter efficient transfer learning architecture. The machine learning system may use adapter layers to dynamically modify a base model to generate a plurality of fine-tuned models. Each fine-tuned model may generate predictions for a specific NLP task. By transferring knowledge from the base model to each fine-tuned model, the ML system achieves a significant reduction in the number of tunable parameters required to generate a fine-tuned NLP model and decreases the fine-tuned model artifact size. Additionally, the ML system reduces training times for fine-tuned NLP models, promotes transfer learning across NLP tasks with lower labeled data volumes, and enables easier and more computationally efficient deployments for multi-task NLP.

Abstract: A system and method for information extraction character level features. The system and method may be used for data extraction for various types of content including a receipt or a tax form.

Abstract: Various arrangements for monitoring and enforcing multi-tier throughput assignments in a network, such as satellite-based communication network, are presented. Throughput usage may be monitored on a beam-level, satellite-level, gateway-level, and system level. Throughput usage for individual satellite terminals may be aggregated and used to determine the throughput usage on an entity-by-entity basis. An entity can have one or more sub-entities to which throughput is allocated. Excessive throughput usage for higher-tier entities can result in throughput being restricted for satellite terminals associated with lower-tier entities.