Abstract: A data dictionary generation system automatically populates and updates a data dictionary for listings offering shared data. A data dictionary includes metadata describing the shared data, including the individual objects, such as the individual tables, schemas, views, and functions. The shared data and each individual data object may be described in the data dictionary by a set of data fields that corresponds to the shared dataset or the object type of the individual object. The data dictionary can be presented to data consumers along with the description of the listing to provide data consumers with a comprehensive description of the shared data provided by a listing, including a high-level summary of the shared data and description of each individual object included in the shared data. The data dictionary allows data consumers to understand the contents of the shared data and how to use the shared data.

Abstract: The present disclosure discloses a method for quantifying a bearing capacity of foundation containing shallow-hidden spherical cavities, comprising: in Step 1, constructing a spatial axisymmetric calculation model for stability analysis of the foundation containing shallow-hidden spherical cavities; in Step 2, solving the model to obtain a general solution which reflects the spatial stress distribution of surrounding rock containing shallow-hidden spherical cavities; in Step 3, obtain a mathematical expression by derivation for calculating the bearing capacity of the foundation containing shallow-hidden spherical cavities; and in Step 4: completing the determination of the foundation bearing capacity. Benefits: This method has many advantages such as comprehensive consideration, high accuracy and reliability of calculation results, and may provide the scientific basis for the development of prevention and control against the instability of the foundation containing shallow-hidden cavities.

Abstract: The present disclosure discloses a gradient single-crystal positive electrode material, which has a chemical formula of LiNixCoyA1-x-yO2@mLiaZbOc, wherein 0<x<1, 0<y<1, 0<x+y<1, 0<m<0.05, 0.3<a?10, 1?b<4, and 1?c<15, A is at least one of Mn, Zr, Sr, Ba, W, Ti, Al, Mg, Y, and Nb, and Z is at least one of B, Al, Co, W, Ti, Zr, and Si. The atomic ratio of the content of Co on the surface of the single-crystal positive electrode material particle to the content of Ni+Co+A on the surface is greater than 0.4 and less than 0.8, and the atomic ratio of Co at a depth 10% of the radius from the surface of the single crystal positive electrode material particle is not less than 0.3; and the single-crystal positive electrode material particle has a roundness of greater than 0.4, and is free from sharp corners.

Abstract: A data dictionary generation system automatically populates and updates a data dictionary for listings offering shared data. A data dictionary includes metadata describing the shared data, including the individual objects, such as the individual tables, schemas, views, and functions. The shared data and each individual data object may be described in the data dictionary by a set of data fields that corresponds to the shared dataset or the object type of the individual object. The data dictionary can be presented to data consumers along with the description of the listing to provide data consumers with a comprehensive description of the shared data provided by a listing, including a high-level summary of the shared data and description of each individual object included in the shared data. The data dictionary allows data consumers to understand the contents of the shared data and how to use the shared data.

Abstract: Described herein are systems and methods for generating an embedding—a learned representation—for an image. The embedding for the image is derived to capture visual aspects, as well as textual aspects, of the image. An encoder-decoder is trained to generate the visual representation of the image. An optical character recognition (OCR) algorithm is used to identify text/words in the image. From these words, an embedding is derived by performing an average pooling operation on pre-trained embeddings that map to the identified words. Finally, the embedding representing the visual aspects of the image is combined with the embedding representing the textual aspects of the image to generate a final embedding for the image.

Abstract: Embodiments discussed herein facilitate employing a pretrained model to determine risk(s) of adverse event(s) based on Computed Tomography (CT) image volume(s) of an artery and/or training a model to determine such risk(s). Example embodiments can determine risk based on territory-specific calcium score(s) and/or intensity/morphological/location features discussed herein. Various embodiments can determine risk(s) based on a single CT image volume and/or change(s) in CT image volumes taken over a series of time points.

Abstract: Methods and apparatus for grading coronary calcium, including an example apparatus that includes a set of logics and a memory that stores a set of radiographic images. The set of logics includes an image acquisition logic that acquires a set of radiographic images of a region of tissue, the set of radiographic images including a low-energy reference x-ray image and a higher-energy floating x-ray image, a registration logic that produces a set of registered images from a plurality of members of the set of radiographic images, an enhancement logic that produces a set of calcium-enhanced images from the set of registered images, a post-enhancement logic that produces a bone image from the set of calcium-enhanced images, and a grading logic that computes a coronary heart disease prediction score based, at least in part, on the bone image and a set of features extracted from the bone image.

Abstract: Disclosed are compositions and methods related to the use of adipocytes for sustained release of anti-cancer therapeutics and treatment of cancer. In one aspect, disclosed herein are engineered adipocytes comprising an anti-cancer prodrug (such as, for example, doxorubicin prodrug) and a conjugated fatty acid (such as, for example, one or more isomers of conjugated linoleic acid including, but not limited, to 9cis, 11trans, 10trans, and/or 12cis).

Abstract: Embodiments discussed herein facilitate employing a pretrained model to determine risk(s) of adverse event(s) based on Computed Tomography (CT) image volume(s) of an artery and/or training a model to determine such risk(s). Example embodiments can determine risk based on territory-specific calcium score(s) and/or intensity/morphological/location features discussed herein. Various embodiments can determine risk(s) based on a single CT image volume and/or change(s) in CT image volumes taken over a series of time points.

Abstract: An infrared face authentication system and method, having an infrared lamp, a camera having at least infrared responsive pixels proximate to the infrared lamp and a processor connected to the infrared lamp and camera, wherein the infrared lamp and camera are responsive to the processor, wherein the processor receives a facial image from the camera illuminated by the infrared lamp and determines whether the facial image is comprised of epidermis and if the facial image is comprised of epidermis whether the facial image matches an enrolled facial image and if the facial image matches the enrolled facial image an authentication is output.

Abstract: Methods and apparatus for grading coronary calcium, including an example apparatus that includes a set of logics and a memory that stores a set of radiographic images. The set of logics includes an image acquisition logic that acquires a set of radiographic images of a region of tissue, the set of radiographic images including a low-energy reference x-ray image and a higher-energy floating x-ray image, a registration logic that produces a set of registered images from a plurality of members of the set of radiographic images, an enhancement logic that produces a set of calcium-enhanced images from the set of registered images, a post-enhancement logic that produces a bone image from the set of calcium-enhanced images, and a grading logic that computes a coronary heart disease prediction score based, at least in part, on the bone image and a set of features extracted from the bone image.

Abstract: Methods and apparatus for grading coronary calcium, including an example apparatus that includes a set of logics and a memory that stores a set of radiographic images. The set of logics includes an image acquisition logic that acquires a set of radiographic images of a region of tissue, the set of radiographic images including a low-energy reference x-ray image and a higher-energy floating x-ray image, a registration logic that produces a set of registered images from a plurality of members of the set of radiographic images, an enhancement logic that produces a set of calcium-enhanced images from the set of registered images, a post-enhancement logic that produces a bone image from the set of calcium-enhanced images, and a grading logic that computes a coronary heart disease prediction score based, at least in part, on the bone image and a set of features extracted from the bone image.

Abstract: An infrared face authentication system and method, having an infrared lamp, a camera having at least infrared responsive pixels proximate to the infrared lamp and a processor connected to the infrared lamp and camera, wherein the infrared lamp and camera are responsive to the processor, wherein the processor receives a facial image from the camera illuminated by the infrared lamp and determines whether the facial image is comprised of epidermis and if the facial image is comprised of epidermis whether the facial image its matches an enrolled facial image and if the facial image matches the enrolled facial image an authentication is output.

Abstract: Methods and apparatus for grading coronary calcium, including an example apparatus that includes a set of logics and a memory that stores a set of radiographic images. The set of logics includes an image acquisition logic that acquires a set of radiographic images of a region of tissue, the set of radiographic images including a low-energy reference x-ray image and a higher-energy floating x-ray image, a registration logic that produces a set of registered images from a plurality of members of the set of radiographic images, an enhancement logic that produces a set of calcium-enhanced images from the set of registered images, a post-enhancement logic that produces a bone image from the set of calcium-enhanced images, and a grading logic that computes a coronary heart disease prediction score based, at least in part, on the bone image and a set of features extracted from the bone image.

Abstract: A method of manufacturing a surface-treated phosphor (11) in which the surface of an alkaline-earth silicate phosphor (12) containing a silicate of alkaline-earth metal is covered with a surface treatment layer (13), the method comprising: surface treatment which brings the alkaline-earth silicate phosphor (12) into contact with the surface treatment substance (23) molten or pyrolyzed to form the surface treatment layer (13) on the surface of the alkaline-earth silicate phosphor (12) wherein the surface treatment substance (23) is at least one selected from a group consisting of a sulfate, a phosphate, a carbonate, a borate, a boric acid, a titanate, and a fluoride.

Abstract: A method of manufacturing a surface-treated phosphor (11) in which the surface of an alkaline-earth silicate phosphor (12) containing a silicate of alkaline-earth metal is covered with a surface treatment layer (13), the method comprising: surface treatment which brings the alkaline-earth silicate phosphor (12) and a surface treatment substance into contact in the presence of at least a kind of polyol selected from the group of diols and triols to form the surface treatment layer (13) on the surface of the alkaline-earth silicate phosphor (12), the surface treatment substance being at least one selected from the group consisting of a sulfate, a phosphate, a carbonate, a borate, a boric acid, a titanate, and a fluoride.

Abstract: A method for finding a temporal face sequence (412) includes, with a physical computing system (100), analyzing frames within a shot within a video, applying a face detection function to the frames, and in response to detecting a face within one of the frames, tracing a person associated with the face both backwards and forwards through frames within the shot. A temporal face sequence (412) is then defined as a sequence of frames that include frames within the shot spanning when the person is shown.

Abstract: A method for finding a temporal face sequence (412) includes, with a physical computing system (100), analyzing frames within a shot within a video, applying a face detection function to the frames, and in response to detecting a face within one of the frames, tracing a person associated with the face both backwards and forwards through frames within the shot. A temporal face sequence (412) is then defined as a sequence of frames that include frames within the shot spanning when the person is shown.