Abstract: A method of treating an aortopathy is disclosed, including identifying a subject having or at risk of developing the aortopathy and reducing the expression of and/or activity of gasdermin D (GSDMD) in the subject. The method may include administering to the subject an effective amount of a GSDMD inhibitor. The GSDMD inhibitor may reduce the expression of GSDMD in the subject and/or may reduce the activity of GSDMD in the subject.

Abstract: Provided are compositions related to HSD17B13 variants, including nucleic acid molecules and polypeptides related to variants of HSD17B13, and cells comprising those nucleic acid molecules and polypeptides. Also provided are methods related to HSD17B13 variants. Such methods include methods for detecting the presence of the HSD17B13 rs72613567 variant in a biological sample comprising genomic DNA, for detecting the presence or levels of any one of variant HSD17B13 Transcripts C, D, E, F, G, and H, and particularly D, in a biological sample comprising mRNA or cDNA, or for detecting the presence or levels of any one of variant HSD17B13 protein Isoforms C, D, E, F, G, or H, and particularly D, in a biological sample comprising protein. Also provided are methods for determining a subject's susceptibility to developing a liver disease or of diagnosing a subject with liver disease.

Abstract: A processor for a cryptosystem. The processor comprises a hybrid processor architecture including a hardware processor, a software processor and an interconnection interface arranged to exchange data between the hardware processor and the software processor; wherein the hardware processor comprises a plurality of hardware accelerator modules arranged to perform computational tasks including at least one of number theoretic transforms (NTT) computation, arithmetic operations which are more time-consuming when being performed instead by the software-processor.

Abstract: A classifier engine provides cell morphology identification and cell classification in computer-automated systems, methods and diagnostic tools. The classifier engine performs multispectral segmentation of thousands of cellular images acquired by a multispectral imaging flow cytometer. As a function of imaging mode, different ones of the images provide different segmentation masks for cells and subcellular parts. Using the segmentation masks, the classifier engine iteratively optimizes model fitting of different cellular parts. The resulting improved image data has increased accuracy of location of cell parts in an image and enables detection of complex cell morphologies in the image. The classifier engine provides automated ranking and selection of most discriminative shape based features for classifying cell types.

Abstract: In some embodiments, a method for processing an optical fiber includes: drawing an optical fiber through a draw furnace, conveying the optical fiber through a flame reheating device downstream from the draw furnace, wherein the flame reheating device comprises one or more burners each comprising: a body having a top surface and an opposing bottom surface, an opening within the body extending from the top surface through the body to the bottom surface, wherein the optical fiber passes through the opening, and one or more gas outlets within the body; and igniting a flammable gas provided by the one or more gas outlets to form a flame encircling the optical fiber passing through the opening, wherein the flame heats the optical fiber by at least 100 degrees Celsius at a heating rate exceeding 10,000 degrees Celsius/second.

Abstract: A drug delivery device for delivering a medicament includes a housing, a pump, drive component, an inlet fluid path, an outlet fluid path, an inlet pressure sensor, an outlet pressure sensor, and a controller. The pump is coupled with the housing. The drive component is for driving the pump. The inlet fluid path is configured to deliver medicament to the pump. The outlet fluid path is configured to receive medicament from the pump. The inlet pressure sensor is positioned along the inlet fluid path and configured to measure inlet fluid pressure. The outlet pressure sensor is positioned along the outlet fluid path and configured to measure outlet fluid pressure. The controller is workingly coupled with the inlet pressure sensor, the outlet pressure sensor, and the drive component, wherein the controller is configured to adjust at least one parameter of the drive component based on input information received from the inlet pressure sensor and/or the outlet pressure sensor.

Abstract: A curable coating composition is provided having multi-functionalized acrylic copolymer and silicone imine resin curing agents. The acrylic copolymer of the curable coating composition has, in polymerized form, epoxy functionalized groups and cure compatibility groups and the silicone imine forms an amino-functional silicone in the presence of water. The coating compositions are useful in the field of superior weatherable and durable coatings and are useful to replace isocyanate-containing polyurethane based coatings. Also provided are coated articles produced from the curable composition.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for updating a molecular database. In one aspect, a method includes: receiving data representing a sequence of molecular nucleotides, where the data specifies a base of each molecular nucleotide and synthetic modifications to one or more components of one or more molecular nucleotides in the sequence; generating a user interface presentation that presents: i) for each base in the sequence, a base character that represents the base of the molecular nucleotide, and ii) for each of the one or more molecular nucleotides having one or more components that are synthetically modified, a group of symbols adjacent to the base character that represents the base of the molecular nucleotide, where each symbol in the group of symbols represents a respective synthetic modification; and providing the user interface presentation to a user device for display to a user.

Abstract: Techniques are described for compensating for movements of sensors. A method includes receiving two sets of sensor data from two sets of sensors, where a first set of sensors are located on a roof of a cab of a semi-trailer truck and a second set of sensor data are located on a hood of the semi-trailer truck. The method also receives from a height sensor a measured value indicative of a height of the rear of a rear portion of the cab of the semi-trailer truck relative to a chassis of the semi-trailer truck, determines two correction values, one for each of the two sets of sensor data, and compensates for the movement of the two sets of sensors by generating two sets of compensated sensor data. The two sets of compensated sensor data are generated by adjusting the two sets of sensor data based on the two correction values.

Abstract: Processes for depositing silicon-containing films (e.g., silicon, amorphous silicon, silicon oxide, silicon nitride, silicon carbide, silicon oxynitride, silicon carbonitride, doped silicon films, and metal-doped silicon nitride films) are performed using halidosilane precursors. Examples of halidosilane precursor compounds described herein, include, but are not limited to, monochlorodisilane (MCDS), monobromodisilane (MBDS), monoiododisilane (MIDS), monochlorotrisilane (MCTS), and monobromotrisilane (MBTS), monoiodotrisilane (MITS).

Abstract: A classifier engine provides cell morphology identification and cell classification in computer-automated systems, methods and diagnostic tools. The classifier engine performs multispectral segmentation of thousands of cellular images acquired by a multispectral imaging flow cytometer. As a function of imaging mode, different ones of the images provide different segmentation masks for cells and subcellular parts. Using the segmentation masks, the classifier engine iteratively optimizes model fitting of different cellular parts. The resulting improved image data has increased accuracy of location of cell parts in an image and enables detection of complex cell morphologies in the image. The classifier engine provides automated ranking and selection of most discriminative shape based features for classifying cell types.

Abstract: The methods and systems described herein attempt to address the above-mentioned need by providing an algorithm and software capability to automatically detect and assess “natural experiments” that exist in any underlying dataset. In one embodiment, a computer-implemented method for identifying an experiment to use in an analysis of a business initiative comprises storing, by a computer, a set of historical data regarding entities in a business network; receiving, by the computer, a selection of inputs for the historical data; detecting, by the computer, a natural experiment based upon changes in the discretized historical data; and outputting, by the computer, a report of a detected experiment from the discretized historical data.

Abstract: A classifier engine provides cell morphology identification and cell classification in computer-automated systems, methods and diagnostic tools. The classifier engine performs multispectral segmentation of thousands of cellular images acquired by a multispectral imaging flow cytometer. As a function of imaging mode, different ones of the images provide different segmentation masks for cells and subcellular parts. Using the segmentation masks, the classifier engine iteratively optimizes model fitting of different cellular parts. The resulting improved image data has increased accuracy of location of cell parts in an image and enables detection of complex cell morphologies in the image. The classifier engine provides automated ranking and selection of most discriminative shape based features for classifying cell types.

Abstract: The methods and systems described herein attempt to address the above-mentioned need by providing an algorithm and software capability to automatically detect and assess “natural experiments” that exist in any underlying dataset. In one embodiment, a computer-implemented method for identifying an experiment to use in an analysis of a business initiative comprises storing, by a computer, a set of historical data regarding entities in a business network; receiving, by the computer, a selection of inputs for the historical data; detecting, by the computer, a natural experiment based upon changes in the historical data; and outputting, by the computer, a report of a detected experiment from the historical data.

Abstract: According to an example aspect of the present invention, there is provided a paper cup comprising: a base; a sidewall; said base and said sidewall together defining a space for receiving liquid or food; an upper end portion of the cup comprising a first and second pair of opposing closure panels, whereby each panel is attached to an upper edge of the sidewall via a respective first folding line and to adjacent panels via respective second folding lines. Said panels are foldable into a closed position to form a lid of the cup. Each panel of said first pair contains two additional folding lines to enable folding inwards. Upon folding to the closed position, a first panel of said second pair is partly inserted below a second panel of said second pair, and the panels of said second pair close the upper end portion.

Abstract: The methods and systems described herein attempt to address the above-mentioned need by providing an algorithm and software capability to automatically detect and assess “natural experiments” that exist in any underlying dataset. In one embodiment, a computer-implemented method for identifying an experiment to use in an analysis of a business initiative comprises storing, by a computer, a set of historical data regarding entities in a business network; receiving, by the computer, a selection of inputs for the historical data; detecting, by the computer, a natural experiment based upon changes in the historical data; and outputting, by the computer, a report of a detected experiment from the historical data.

Abstract: A classifier engine provides cell morphology identification and cell classification in computer-automated systems, methods and diagnostic tools. The classifier engine performs multispectral segmentation of thousands of cellular images acquired by a multispectral imaging flow cytometer. As a function of imaging mode, different ones of the images provide different segmentation masks for cells and subcellular parts. Using the segmentation masks, the classifier engine iteratively optimizes model fitting of different cellular parts. The resulting improved image data has increased accuracy of location of cell parts in an image and enables detection of complex cell morphologies in the image. The classifier engine provides automated ranking and selection of most discriminative shape based features for classifying cell types.