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: Methods and arrangements to manage transparent windows are described herein. Embodiments may comprise logic such as hardware and/or code to select one or more windows to make transparent and to switching the active window between source and target windows via the position of the mouse. Many embodiments provide a right click, pop-up menu (i.e., pressing the right mouse button generates a pop-up menu), a pull-down menu, or a button associated with windows. These features may allow a user to select individual or all windows to be transparent. A transparent window provides some view of windows or objects below the transparent window while providing some view of the contents such as graphics and/or text in the transparent window. Embodiments may also include management logic such as hardware and/or code to facilitate selection of a transparent window to make the window active.

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: Systems and methods here may include utilizing a computer with a processor and a memory for receiving a pixelated image of an original size, converting the pixelated image to grayscale, calculating a magnitude of spatial gradients in the received pixelated grayscale image, downscaling the received pixelated grayscale image, computing a multiplicative gain correction for the downscaled received pixelated grayscale image, re-enlarging a gain multiplication for the original image, and applying the gain multiplication to the image to generate a processed image with higher contrast than the received pixelated image.

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: 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: In some aspects, the present disclosure provides a nanoparticle composition comprising tRNA and an aminolipid delivery compound. The aminolipid delivery compound may be a dendrimer, dendron, or dendritic lipid, a polymer such as a polyamide or polyester, or a lipid with one or more hydrophobic components. In some embodiments, these compositions may be administered to a patient to treat a genetic disease or disorder such as cystic fibrosis, Duchene muscular dystrophy, or cancer.

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: 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: 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: The present disclosure is directed to staphylococcal leukotoxin and hemolysin binding molecules and fusion constructs. The present disclosure is further directed to methods of treating, preventing, and diagnosing staphylococcal infection in a subject using the binding molecules and fusion constructs described herein.

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: 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: An acoustical building panel is disclosed that comprises a fibrous panel comprising: a central portion having a first major surface; a perimeter portion surrounding the central portion; a recess press-formed into the perimeter portion, the recess circumscribing the first major surface and comprising a recess floor surface; a second major surface opposite the first major surface; and side edge surfaces that define a perimeter of the fibrous panel and extend from the second major surface to the recess floor surface.

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: Described herein is a building panel comprising a body, the body comprising: a fiber; a latex binder present in an amount ranging from about 3 wt. % to about 10 wt. % based on the total weight of the body; and an inorganic particle having an average particle size ranging from about 1 micron to about 13 microns; wherein the inorganic particle and the binder are present in a weight ratio ranging from about greater than 1:1 to about 6:1.

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: A system is described that includes a computer programmed: for each of a plurality of terminals, to receive inroute data via one of a plurality of respective inroute channels; using the plurality of respective inroute channels, to determine a first super inroute group (SIG) and a second SIG based on symbol rates of respective inroute channels; to determine a channel quality value of a first inroute channel, of a first terminal, wherein the first inroute channel is one of the plurality of respective inroute channels; to determine a backlog volume of one of the first SIG or the second SIG; and based on determining the channel quality value of the first terminal and the backlog volume of the first or second SIGs, to transmit, to the first terminal, outroute data comprising an instruction to change to a different inroute channel of the first or second SIG.

Abstract: Methods and arrangements to manage transparent windows are described herein. Embodiments may comprise logic such as hardware and/or code to select one or more windows to make transparent and to switching the active window between source and target windows via the position of the mouse. Many embodiments provide a right click, pop-up menu (i.e., pressing the right mouse button generates a pop-up menu), a pull-down menu, or a button associated with windows. These features may allow a user to select individual or all windows to be transparent. A transparent window provides some view of windows or objects below the transparent window while providing some view of the contents such as graphics and/or text in the transparent window. Embodiments may also include management logic such as hardware and/or code to facilitate selection of a transparent window to make the window active.

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.