Abstract: The invention provides methods of preparation of lipoproteins from a biological sample, including HDL, LDL, Lp(a), IDL, and VLDL, for diagnostic purposes utilizing differential charged particle mobility analysis methods. Further provided are methods for analyzing the size distribution of lipoproteins by differential charged particle mobility, which lipoproteins are prepared by methods of the invention. Further provided are methods for assessing lipid-related health risk, cardiovascular condition, risk of cardiovascular disease, and responsiveness to a therapeutic intervention, which methods utilize lipoprotein size distributions determined by methods of the invention.

Abstract: Various embodiments of the present invention are directed towards a simulant and method relating to producing a simulant. For example, a simulant of a textured target threat includes a background material associated with a background attenuation, and a texture component(s) dispersed in the background material and associated with a component attenuation and a component characteristic. The component characteristic prevents the component attenuation of the texture component from being homogeneously dispersed throughout the background attenuation of the background material, to cause the simulant to mimic an aspect(s) of an X-ray signature of the textured target threat.

Abstract: Various embodiments of the present invention are directed towards a simulant and method relating to producing a simulant. For example, a simulant of a textured target threat includes a background material associated with a background attenuation, and a texture component(s) dispersed in the background material and associated with a component attenuation and a component characteristic. The component characteristic prevents the component attenuation of the texture component from being homogeneously dispersed throughout the background attenuation of the background material, to cause the simulant to mimic an aspect(s) of an X-ray signature of the textured target threat.

Abstract: The invention provides methods of preparation of lipoproteins from a biological sample, including HDL, LDL, Lp(a), IDL, and VLDL, for diagnostic purposes utilizing differential charged particle mobility analysis methods. Further provided are methods for analyzing the size distribution of lipoproteins by differential charged particle mobility, which lipoproteins are prepared by methods of the invention. Further provided are methods for assessing lipid-related health risk, cardiovascular condition, risk of cardiovascular disease, and responsiveness to a therapeutic intervention, which methods utilize lipoprotein size distributions determined by methods of the invention.

Abstract: In one embodiment, a method for identifying and forming a simulant includes identifying a composition, identifying a plurality of ingredients, the simulant being a combination of the ingredients, identifying for evaluation one or more metrics of the simulant, determining proportions of each of the ingredients by optimizing a quadratic function based on the one or more metrics of the simulant, rendering, via a GUI, a 3D plot that depicts the metrics and a target point specified by the target values of the composition, when the target point is contained within a convex set defined by the identified ingredients, outputting the determined proportions of each of the identified ingredients and, otherwise, receiving user input to adjust the convex set by user selecting and moving the data points of the 3D plot to modify the metrics of the simulant to produce a new 3D plot, and identifying alternative ingredients and/or alternative proportions.

Abstract: In an example, a method includes: based on a starting set of real image data of a set of one or more original images obtained using a detection process of a detection system, identifying elements of the real image data which are picture or volume elements; performing data augmentation on the identified elements to produce one or more augmented images; replacing the set of one or more original images with a set of the one or more augmented images; analyzing the set of one or more augmented images (which may be supplemented with additional real data) using the detection process; and evaluating a detection response of the detection system for each augmented image of the set of one or more augmented images. The analyzing and evaluating may be performed by using an emulator for the detection system which was used to obtain the one or more original images.

Abstract: In one embodiment, a method for identifying and forming a simulant includes identifying a composition, identifying a plurality of ingredients, the simulant being a combination of the ingredients, identifying for evaluation one or more metrics of the simulant, determining proportions of each of the ingredients by optimizing a quadratic function based on the one or more metrics of the simulant, rendering, via a GUI, a 3D plot that depicts the metrics and a target point specified by the target values of the composition, when the target point is contained within a convex set defined by the identified ingredients, outputting the determined proportions of each of the identified ingredients and, otherwise, receiving user input to adjust the convex set by user selecting and moving the data points of the 3D plot to modify the metrics of the simulant to produce a new 3D plot, and identifying alternative ingredients and/or alternative proportions.

Abstract: The invention provides methods of preparation of lipoproteins from a biological sample, including HDL, LDL, Lp(a), IDL, and VLDL, for diagnostic purposes utilizing differential charged particle mobility analysis methods. Further provided are methods for analyzing the size distribution of lipoproteins by differential charged particle mobility, which lipoproteins are prepared by methods of the invention. Further provided are methods for assessing lipid-related health risk, cardiovascular condition, risk of cardiovascular disease, and responsiveness to a therapeutic intervention, which methods utilize lipoprotein size distributions determined by methods of the invention.

Abstract: Systems and methods are provided for forming a simulant. In accordance with one embodiment, a method is provided for identifying and forming a simulant. The method identifies, using processing circuitry, a compound. The method further identifies, using the processing circuitry, a plurality of ingredients, wherein the simulant is a combination of the plurality of ingredients. The method further identifies for evaluation, using the processing circuitry, one or more metrics of the simulant. The method further determines, using the processing circuitry, proportions of each of the plurality of ingredients by optimizing a quadratic function based on the one or more metrics of the simulant. The method further outputs the proportions of each of the plurality of ingredients, and forms a mixture of the plurality of ingredients based on the proportions of each of the plurality of ingredients.

Abstract: The invention provides methods of preparation of lipoproteins from a biological sample, including HDL, LDL, Lp(a), IDL, and VLDL, for diagnostic purposes utilizing differential charged particle mobility analysis methods. Further provided are methods for analyzing the size distribution of lipoproteins by differential charged particle mobility, which lipoproteins are prepared by methods of the invention. Further provided are methods for assessing lipid-related health risk, cardiovascular condition, risk of cardiovascular disease, and responsiveness to a therapeutic intervention, which methods utilize lipoprotein size distributions determined by methods of the invention.

Abstract: Various embodiments of the present invention are directed towards a simulant and method relating to producing a simulant. For example, a simulant of a textured target threat includes a background material associated with a background attenuation, and a texture component(s) dispersed in the background material and associated with a component attenuation and a component characteristic. The component characteristic prevents the component attenuation of the texture component from being homogeneously dispersed throughout the background attenuation of the background material, to cause the simulant to mimic an aspect(s) of an X-ray signature of the textured target threat.

Abstract: Various embodiments of the present invention are directed towards a simulant and method relating to producing a simulant. For example, a simulant of a target threat includes at least one component ingredient characterized by a corresponding component loss factor that is essentially zero. The simulant is configured to exhibit a simulant dielectric constant corresponding to a simulant reflectivity substantially equivalent to a threat reflectivity. A method of producing a simulant of a target threat includes generating an ellipse-like curved solution space corresponding to a plurality of candidate threat reflectivities, identifying a threat dielectric constant, from among respective threat dielectric constants of the candidate threat reflectivities forming the curved solution space, and identifying at least one weight proportion of at least one corresponding simulant ingredient.

Abstract: The invention provides methods of preparation of lipoproteins from a biological sample, including HDL, LDL, Lp(a), IDL, and VLDL, for diagnostic purposes utilizing differential charged particle mobility analysis methods. Further provided are methods for analyzing the size distribution of lipoproteins by differential charged particle mobility, which lipoproteins are prepared by methods of the invention. Further provided are methods for assessing lipid-related health risk, cardiovascular condition, risk of cardiovascular disease, and responsiveness to a therapeutic intervention, which methods utilize lipoprotein size distributions determined by methods of the invention.

Abstract: Systems and methods are provided for forming a simulant. In accordance with one embodiment, a method is provided for identifying and forming a simulant. The method identifies, using processing circuitry, a compound. The method further identifies, using the processing circuitry, a plurality of ingredients, wherein the simulant is a combination of the plurality of ingredients. The method further identifies for evaluation, using the processing circuitry, one or more metrics of the simulant. The method further determines, using the processing circuitry, proportions of each of the plurality of ingredients by optimizing a quadratic function based on the one or more metrics of the simulant. The method further outputs the proportions of each of the plurality of ingredients, and forms a mixture of the plurality of ingredients based on the proportions of each of the plurality of ingredients.

Abstract: The invention provides methods of preparation of lipoproteins from a biological sample, including HDL, LDL, Lp(a), IDL, and VLDL, for diagnostic purposes utilizing differential charged particle mobility analysis methods. Further provided are methods for analyzing the size distribution of lipoproteins by differential charged particle mobility, which lipoproteins are prepared by methods of the invention. Further provided are methods for assessing lipid-related health risk, cardiovascular condition, risk of cardiovascular disease, and responsiveness to a therapeutic intervention, which methods utilize lipoprotein size distributions determined by methods of the invention.

Abstract: The invention provides methods of preparation of lipoproteins from a biological sample, including HDL, LDL, Lp(a), IDL, and VLDL, for diagnostic purposes utilizing differential charged particle mobility analysis methods. Further provided are methods for analyzing the size distribution of lipoproteins by differential charged particle mobility, which lipoproteins are prepared by methods of the invention. Further provided are methods for assessing lipid-related health risk, cardiovascular condition, risk of cardiovascular disease, and responsiveness to a therapeutic intervention, which methods utilize lipoprotein size distributions determined by methods of the invention.

Abstract: The invention provides methods of preparation of lipoproteins from a biological sample, including HDL, LDL, Lp(a), IDL, and VLDL, for diagnostic purposes utilizing differential charged particle mobility analysis methods. Further provided are methods for analyzing the size distribution of lipoproteins by differential charged particle mobility, which lipoproteins are prepared by methods of the invention. Further provided are methods for assessing lipid-related health risk, cardiovascular condition, risk of cardiovascular disease, and responsiveness to a therapeutic intervention, which methods utilize lipoprotein size distributions determined by methods of the invention.

Abstract: The invention provides methods of preparation of lipoproteins from a biological sample, including HDL, LDL, Lp(a), IDL, and VLDL, for diagnostic purposes utilizing differential charged particle mobility analysis methods. Further provided are methods for analyzing the size distribution of lipoproteins by differential charged particle mobility, which lipoproteins are prepared by methods of the invention. Further provided are methods for assessing lipid-related health risk, cardiovascular condition, risk of cardiovascular disease, and responsiveness to a therapeutic intervention, which methods utilize lipoprotein size distributions determined by methods of the invention.

Abstract: The invention provides methods of preparation of lipoproteins from a biological sample, including HDL, LDL, Lp(a), IDL, and VLDL, for diagnostic purposes utilizing differential charged particle mobility analysis methods. Further provided are methods for analyzing the size distribution of lipoproteins by differential charged particle mobility, which lipoproteins are prepared by methods of the invention. Further provided are methods for assessing lipid-related health risk, cardiovascular condition, risk of cardiovascular disease, and responsiveness to a therapeutic intervention, which methods utilize lipoprotein size distributions determined by methods of the invention.

Abstract: The invention provides methods of preparation of lipoproteins from a biological sample, including HDL, LDL, Lp(a), IDL, and VLDL, for diagnostic purposes utilizing differential charged particle mobility analysis methods. Further provided are methods for analyzing the size distribution of lipoproteins by differential charged particle mobility, which lipoproteins are prepared by methods of the invention. Further provided are methods for assessing lipid-related health risk, cardiovascular condition, risk of cardiovascular disease, and responsiveness to a therapeutic intervention, which methods utilize lipoprotein size distributions determined by methods of the invention.