Abstract: A system includes a reconstructor (314) configured to reconstruct cone beam projection data to generate cone beam artifact corrected short scan cone beam volumetric image data. A method includes reconstructing, with a reconstructor, cone beam projection data to generate cone beam artifact corrected short scan cone beam volumetric image data. A computer-readable storage medium storing computer executable instructions which when executed by a processor of a computer cause the processor to: reconstruct cone beam projection data to generate cone beam artifact corrected short scan cone beam volumetric image data.

Abstract: The invention relates to renewable hydrocarbons, and more particularly to biomass-based diesel fuel produced in a process including hydrodeoxygenation (HDO) of phenolic lipids. The process may generally include combining a phenolic lipid and a hydrocarbon diluent to provide a hydrocarbon-diluted phenolic lipid then subjecting the hydrocarbon-diluted phenolic lipid to hydrodeoxygenation in a reactor to provide a reactor effluent including a hydrodeoxygenated phenolic lipid. The hydrodeoxygenated phenolic lipid is separated from the reactor effluent.

Abstract: An improved method for removal of contaminants from low-value and waste fats and oils for the purpose of hydrodeoxygenation into diesel boiling range hydrocarbons. The method includes removing organically bound contaminants from fats, oils, and greases (FOG) by adding water to a contaminated FOG stream, subjecting the mixture to heat, and mixing to promote reaction between the water and the FOG. Then, separating a reacted FOG from the contaminants. The reacted FOG will result in reduced organically bound chlorine contaminants.

Abstract: Disclosed herein are methods for identifying physicochemical properties associated with protein corona formation at the level of proteins and NP-functionalization. Further disclosed herein are compositions comprising combinations of particles configured for low abundance protein collection and deep proteomic analysis.

Abstract: Techniques for adjusting the strengths of signals received from a transmitter based on the transmitter's likely location are disclosed herein. An example method includes receiving, by one or more processors, location information corresponding to one or more respective areas expected to be visited by an individual; receiving, by the one or more processors, measurements indicative of signal strengths of one or more signals transmitted by a transmitter associated with the individual and received by one or more receivers configured to receive one or more signals transmitted by the transmitter, the one or more receivers being positioned at respective receiver locations corresponding to one or more respective areas; and adjusting, by the one or more processors, the received measurements indicative of the signal strengths of the one or more signals transmitted by the transmitter based on the one or more respective areas expected to be visited by the individual.

Abstract: Techniques for adjusting the sizes of geo-fences based on an individual's likely location are disclosed herein. An example method includes determining one or more geo-fenced zones corresponding to one or more respective areas; receiving location information indicative of the one or more areas expected to be visited by the individual, of the one or more respective areas; and adjusting the one or more geo-fenced zones based on the one or more respective areas expected to be visited by the individual.

Abstract: The invention relates to methods of adding identifier sequences to polynucleotides of an array. The identifier sequences comprise a plurality of nucleotide blocks. Also provided are arrays of polynucleotides having identifier sequences, microparticles comprising said arrays, a plurality of 5 said microparticles, surfaces comprising said arrays, kits and methods for generating libraries using the array, methods for determining the accuracy of sequencing or amplification an array, and methods of analysing said libraries.

Abstract: A mechanism for generating a partially denoised image. A residual noise image, obtained by processing an image using a convolutional neural network, is weighted. The blending or combination of the weighted residual noise image and the (original) image generates the partially denoised image.

Abstract: An imaging system (302) includes an X-ray radiation source (312) configured to emit radiation that traverses an examination region, a detector array (314) configured to detect radiation that traverses an examination region and generate a signal indicative thereof, wherein the detected radiation is for a 3-D pre-scan, and a reconstructor (316) configured to reconstruct the signal to generate a 2-D pre-scan projection image. The imaging system further includes a console (318) wherein a processor thereof is configured to execute 3-D volume planning instructions (328) in memory to display the 2-D pre-scan projection image (402, 602, 802, 1002) and a scan plan or bounding box (404, 604, 804, 1004) for planning a 3-D volume scan of a region/tissue of interest based on a selected protocol for a 3-D volume scan of a region/tissue of interest being planned and receive an input confirming or adjusting the scan plan box to create a 3-D volume scan plan for the 3-D volume scan of the region/tissue of interest.

Abstract: An omni-channel, intelligent, proactive virtual agent system and method of use are provided by which a user may engage in a conversation with the agent to interact with structured and unstructured data of an enterprise that is stored in a domain-specific world model for the enterprise.

Abstract: A label modification unit may receive a label modification input that indicates a label modification associated with content being written to a label or erased from the label. The label modification unit may identify an area of the label that is associated with the label modification according to the label modification input. The label modification unit may determine, based on a size of the area, a spot size of a light beam that is configured to be emitted by a laser printhead to modify the content within the area. The label modification unit may determine, based on the spot size and the content, an optical path configuration for the laser printhead. The label modification unit may operate the laser printhead according to the optical path configuration to write the content to the area or erase the content from the area.

Abstract: A method for use in a material decomposition procedure applied to dual-energy CT projection data. Material decomposition is often done using pre-computed lookup tables (LUTs) for mapping input projection data, acquired with particular X-ray source parameters, to material data values. However, the X-ray source parameters can vary over the course of a scan, making the results inaccurate. Embodiments are based on determining in advance a plurality of sets of basis LUTs for each of a plurality of different possible ranges of values over which the X-ray source parameter may vary during a scan. The basis LUTs in each set are devised as being LUTs which represent the majority contribution to the overall material decomposition function for the time-varying energy spectrum.

Abstract: A system (116) includes an unlogger (202) configured to unlog logged data, to produce unlogged clipped data. The logged data includes attenuation line integrals and clipping-induced bias. The system further includes a mean estimator (204) configured to estimate a mean value of the unlogged clipped data. The system further includes a correction determiner (206) configured to determine correction to the clipping-induced bias based on the estimated mean value of the unlogged clipped data. The system further includes an adder (210) configured to correct the logged data with the correction to produce corrected logged data.

Abstract: A method is provided for processing medical images, the method including receiving a first image and a second image different from the first image, where the second image is of the same subject matter as the first image. The method further includes identifying a plurality of anatomical structures in the first image and defining a plurality of image segments in the second image based N on locations of the anatomical structures identified in the first image. The method then applies a processing routine associated with a first anatomical structure to the first image segment in the second image and a processing routine associated with a second anatomical structure to the second image segment in the second image. Also provided is an imaging system for implementing the described method and a non-transitory computer readable medium storing a program for processing medical images.

Abstract: A label modification unit may receive a label modification input that indicates a label modification associated with content being written to a label or erased from the label. The label modification unit may identify an area of the label that is associated with the label modification according to the label modification input. The label modification unit may determine, based on a size of the area, a spot size of a light beam that is configured to be emitted by a laser printhead to modify the content within the area. The label modification unit may determine, based on the spot size and the content, an optical path configuration for the laser printhead. The label modification unit may operate the laser printhead according to the optical path configuration to write the content to the area or erase the content from the area.

Abstract: The present invention relates to a method and a cone beam computed tomography apparatus for reducing artefacts in an image acquired with the cone beam computed tomography apparatus using a second pass artefact reduction method. Projection data of an object are acquired, wherein the projection data comprises a first subset of data to be used for reconstruction of a first image, and a second subset of data comprising projection data not to be used for the construction of the first image, wherein the second subset of data comprises projection data not comprised in the first subset of data. A first and a second image are reconstructed using the first and the second subset of data, respectively. A second pass artefact reduction method is performed using the second image as input image of the second pass artefact reduction method, thereby reducing artefacts in the first image.

Abstract: Methods and systems are provided for dimensioning a moving freight in motion along a path. An example system includes a plurality of laser line generators configured to emit coplanar laser beams forming a laser curtain oriented perpendicular to the floor and angled towards the direction of the path of the moving freight. A camera is configured to capture a series of two-dimensional images of the freight as it passes through the laser curtain. Additionally a positioning sensor is configured to detect the position and orientation of the moving freight as it passes through the laser curtain. A computing device in communication with the camera and the positioning sensor correlates each successive two-dimensional image with each corresponding position and orientation of the freight to obtain a composite three-dimensional shape of the freight. Furthermore, the computing device processes the composite three-dimensional shape of the freight to dimension the freight.

Abstract: One embodiment of the present disclosure may provide a method for training and tuning a neural network model, including: adding simulated noise to an initial image of an object to generate a noisy image (601, 603), the simulated noise taking the same form as natural noise in the initial image; training a neural network model on the noisy image using the initial image as ground truth (605), wherein in the neural network model is trained on the noisy work model a tuning variable is extracted or generated, the tuning variable defining an amount of noise removed during use (607); identifying a first value for the tuning variable that minimizes a training cost function for the tuning variable is identified or for the initial image; and assigning a second value for the tuning variable (611), the second value different than the first value, wherein the neural network model identifies more noise in the noisy image when using the second value than when using the first value.

Abstract: A laser printhead assembly for a laser printhead is disclosed herein. The laser printhead assembly may include a laser containment door; and a laser containment housing that is configured to form a sealed enclosure with a label support of a label. The sealed enclosure may be configured to include the label and the laser printhead. The laser containment door, in a laser-enabled position, may be configured to permit the laser printhead, via a light beam, to modify the label and the laser containment door, in a laserdisabled position, may be configured to prevent a light beam from escaping the laser containment housing.

Abstract: A laser printhead assembly for a laser printhead is disclosed herein. The laser printhead assembly may include a laser containment door; and a laser containment housing that is configured to form a sealed enclosure with a label support of a rewriteable label. The sealed enclosure may be configured to include the rewriteable label and the laser printhead. The laser containment door, in a laser-enabled position, may be configured to permit the laser printhead, via a light beam, to modify the rewriteable label and the laser containment door, in a laser-disabled position, may be configured to prevent a light beam from escaping the laser containment housing.