Abstract: A computed-tomography apparatus that includes a CT scanner including an X-ray source and a detector covering respective angle ranges in the axial and transaxial planes of the CT scanner. The CT detector includes first detector elements disposed on a first surface to capture incident X-ray photons emitted from the X-ray source, and second detector elements sparsely disposed on a second surface different from the first surface, the second surface being farther away from the scanner than the first surface, the second detector elements being smaller in number than the first detector elements. Each of the second detector elements is reachable only by X-ray photons originating in a small angle range around a line connecting the X-ray source and a center of the surface of the detector element, the small angle range being determined by the predetermined distance separating the first and second surfaces and a size of the detector element.

Abstract: The application is related to compositions and methods for the treatment of hypersensitivity, wherein the compositions comprise a particle packaged with immunostimulatory nucleic acids. The compositions of the invention are particularly useful in the treatment of atopic eczema, asthma and IgE-mediated allergy (type I allergy), especially pollen allergy and house dust allergy.

Abstract: The image generation method and system generates an image using a predetermined iterative reconstruction technique, and an instance of the iteration process is weighted according to a predetermined combination of weights during the reconstruction. The predetermined combination of the weights includes weights based upon a predetermined noise model and a predetermined window function to improve image quality.

Abstract: A method of computed-tomography and a computed-tomography apparatus where the portion of the field of view of a subject were full scan data is available is reconstructed using a full-scan algorithm. In the areas where full scan data is not available, half-scanning is used. Data is also extrapolated from the full scan data. The extrapolated data overlaps a portion of the half-scanning data. The extrapolated data and the overlapped portion of the half-scanning data are feathered. The image is reconstructed using the full-scan, half-scan and feathered data. Corner regions in an image are exposed and reconstructed to produce more uniform z-coverage of the reconstruction field of view.

Abstract: Photon counting detectors are sparsely placed at predetermined positions in the fourth-generation geometry around an object to be scanned in spectral Computer Tomography (CT). Optionally, integrating detectors are placed between the two adjacent ones of the sparsely placed photon counting detectors in the fourth-generation geometry. Furthermore, the integrating detectors are placed in the third-generation in combination to the sparsely placed photon counting detectors at predetermined positions in the fourth-generation geometry.

Abstract: The current invention is generally related to a data acquisition and or image processing method and system for acquiring and or processing sparse channel data. The sparse channel is implemented in a data acquisition system having a predetermined wider pitch between the adjacent detector cells than that in the currently available imaging systems at least in one predetermined direction. In one implementation, the sparse channel data is acquired by the sparse channel data acquisition system, and an image is reconstructed from the sparse channel data according to a predetermined chord based reconstruction method eliminating the differentiation along the channel direction and utilizing a pair of proper weights.

Abstract: Photon starvation causes streaks and noise and seriously impairs the diagnostic value of the CT imaging. To reduce streaks and noise, a new scheme of adaptive Gaussian filtering relies on the diffusion-derived scale-space concept in one embodiment of the current invention. In scale-space view, filtering by Gaussians of different sizes is similar to decompose the data into a sequence of scales. As the scale measure, the variance of the filter linearly relates to the noise standard deviation of a predetermined noise model in the new filtering method. The new filter has only one optional parameter that remains stable once tuned. Although single-pass processing using the new filter generally achieves desired results, iterations are optionally performed.

Abstract: Photon starvation causes streaks and noise and seriously impairs the diagnostic value of the CT imaging. To reduce streaks and noise, a new scheme of adaptive Gaussian filtering relies on the diffusion-derived scale-space concept in one embodiment of the current invention. In scale-space view, filtering by Gaussians of different sizes is similar to decompose the data into a sequence of scales. As the scale measure, the variance of the filter linearly relates to the noise standard deviation of a predetermined noise model in the new filtering method. The new filter has only one optional parameter that remains stable once tuned. Although single-pass processing using the new filter generally achieves desired results, iterations are optionally performed.

Abstract: In the CT imaging system, a one-direction condition improves noise uniformity in the denoised images and avoids over smoothing in the low noise regions in an image, assuming that the image originally has an unequal noise distribution. On the other hand, the discrete gradients of total variation (DTV) minimization results in an improved edge preserving effects in comparison to the conventional total variation (TV) minimization. Using DTV, the pixel values on an edge will not be substantially affected after a certain denoising treatment. The difference between the DTV minimization and the conventional TV minimization is substantially negligible for strong edges while the DTV minimization substantially improves in preserving the weak edges. DTV keeps the original values while TV slightly smoothes the values for the pixel near the bottom and top of edges.

Abstract: An exemplary method for online character recognition of characters includes acquiring time sequential, online ink data for a handwritten character, conditioning the ink data to produce conditioned ink data where the conditioned ink data includes information as to writing sequence of the handwritten character and extracting features from the conditioned ink data where the features include a tangent feature, a curvature feature, a local length feature, a connection point feature and an imaginary stroke feature. Such a method may determine neighborhoods for ink data and extract features for each neighborhood. An exemplary character recognition system may use various exemplary methods for training and character recognition.

Abstract: Provided are techniques for processing a multidimensional query. For each multidimensional expression in the multidimensional query, the multidimensional expression is evaluated to generate a representation that includes an evaluation context, a degeneration status, and condensed value storage that does not store data that would be replicated due to degeneration, and the representation is stored.

Abstract: An illustrative embodiment provides a computer-implemented process for semantic verification of multidimensional data sources that receives a trusted output from a trusted multidimensional expression engine, receives an un-trusted output from an un-trusted data source and determines whether a query produces a correct semantic result, wherein the correct semantic result is within a predetermined tolerance. Responsive to a determination that the query does not produce a semantically correct result, identifies queries having semantically incorrect results to form a local subset, notifies a query planner of semantically incorrect queries and determines whether to process queries locally. Responsive to a determination to not process queries locally, creates a set of simplified multidimensional expression queries for remote execution.

Abstract: Embodiments and processes of computer tomography perform tasks associated with selecting a portion of projection or emission data that contain the least amount of motion based upon a predetermined motion index, a derivative of plane integral (DPI). Other embodiments and processes of computer tomography perform tasks associated with determining an amount of direction-dependent motion in an object based upon a comparison of the DPIs in predetermined directions.

Abstract: The image generation method and system generates an image using a predetermined iterative reconstruction technique, and an instance of the iteration process is weighted according to a predetermined combination of weights during the reconstruction. The predetermined combination of the weights includes weights based upon a predetermined noise model and a predetermined window function to improve image quality.

Abstract: Provided are techniques for processing a multidimensional query. For each multidimensional expression in the multidimensional query, the multidimensional expression is evaluated to generate a representation that includes an evaluation context, a degeneration status, and condensed value storage that does not store data that would be replicated due to degeneration, and the representation is stored.

Abstract: Provided are techniques for processing a multidimensional query. For each multidimensional expression in the multidimensional query, the multidimensional expression is evaluated to generate a representation that includes an evaluation context, a degeneration status, and condensed value storage that does not store data that would be replicated due to degeneration, and the representation is stored.

Abstract: A fastener includes a sleeve and a rod received in the sleeve. The sleeve includes a top end including at least one outer flange extending radially outward therefrom and at least one inner flange extending radially inward therefrom and a lower end including at least one spring tab. At least one spring tab comprises an outer flange at its end that extends radially outward. the sleeve is inserted into the receiving holes of the top article and the bottom article until the outer flange of the top end rests on the top plate, the rod is then pressed to move to drive at least one spring tab to deflect outwardly until the outer flange of at least one spring tab is held in contact with the bottom plate.

Abstract: A method for affixing adhesive films to a main board is provided. The main board includes a main body and a shield. The shield includes a first shield and a second shield. The second shield defines openings. When the second shield is attached to the main body, components of the main body are confined within the openings, respectively. The method includes: first absorbing a single adhesive film to an electrostatic absorbing film. Then, stamping the electrostatic absorbing film and the single adhesive film to form adhesive films that have substantially the same shape and arrangement as the openings. Next, aligning the electrostatic absorbing film with the first shield and affixing the adhesive films to the first shield. Then, removing the electrostatic absorbing film from the first shield. And, assembling the first shield to the second shield.

Abstract: Described is a technology by which online recognition of handwritten input data is combined with offline recognition and processing to obtain a combined recognition result. In general, the combination improves overall recognition accuracy. In one aspect, online and offline recognition is separately performed to obtain online and offline character-level recognition scores for candidates (hypotheses). A statistical analysis-based combination algorithm, an AdaBoost algorithm, and/or a neural network-based combination may determine a combination function to combine the scores to produce a result set of one or more results. Online and offline radical-level recognition may be performed. For example, a HMM recognizer may generate online radical scores used to build a radical graph, which is then rescored using the offline radical recognition scores. Paths in the rescored graph are then searched to provide the combined recognition result, e.g., corresponding to the path with the highest score.

Abstract: A multi-language interfaces system includes a storage unit, a processing unit, and a language switch unit; the storage unit stores an executable code containing a variable code and multiple language packs; the processing unit is electrically connected for transmission to the storage unit to execute the executable codes; and the language switch unit is respectively electrically connected for transmission to the storage unit and the processing unit to provide a signal to the processing unit where the variable code is converted into one of those language packs.