Abstract: The present application relates to plasma cells and plasma cell precursors that express a macromolecule, such as a protein, protein mimetic or a peptide and compositions comprising these plasma cells or plasma cell precursors. The application further relates to methods of using and making the plasma cells and plasma cell precursors that express the macromolecule. Methods of treatment comprising administering the plasma cells or plasma cell precursors are also contemplated.

Abstract: A bit-depth optimization engine reduces the hardware cost of a neural network. When training data is applied to a neural network during training routines, accuracy cost and hardware costs are generated. A hardware complexity cost generator generates costs for weights near bit-depth steps where the number of binary bits required to represent a weight decreases, such as from 2N to 2N?1, where one less binary bit is required. Gradients are generated from costs for each weight, and weights near bit-depth steps are easily selected since they have a large gradient, while weights far away from a bit-depth step have near-zero gradients. The selected weights are reduced during optimization. Over many cycles of optimization, a low-bit-depth neural network is generated that uses fewer binary bits per weight, resulting in lower hardware costs when the low-bit-depth neural network is manufactured on an Application-Specific Integrated Circuit (ASIC).

Abstract: The present application relates to plasma cells and plasma cell precursors that express a macromolecule, such as a protein, protein mimetic or a peptide and compositions comprising these plasma cells or plasma cell precursors. The application further relates to methods of using and making the plasma cells and plasma cell precursors that express the macromolecule. Methods of treatment comprising administering the plasma cells or plasma cell precursors are also contemplated.

Abstract: A bit-depth optimization engine reduces the hardware cost of a neural network. When training data is applied to a neural network during training routines, accuracy cost and hardware costs are generated. A hardware complexity cost generator generates costs for weights near bit-depth steps where the number of binary bits required to represent a weight decreases, such as from 2N to 2N?1, where one less binary bit is required. Gradients are generated from costs for each weight, and weights near bit-depth steps are easily selected since they have a large gradient, while weights far away from a bit-depth step have near-zero gradients. The selected weights are reduced during optimization. Over many cycles of optimization, a low-bit-depth neural network is generated that uses fewer binary bits per weight, resulting in lower hardware costs when the low-bit-depth neural network is manufactured on an Application-Specific Integrated Circuit (ASIC).

Abstract: An image processor generates a Super-Resolution (SR) frame by upscaling. A Human Visual Preference Model (HVPM) helps detect random texture regions, where visual artifacts and errors are tolerated to allow for more image details, and immaculate regions having flat areas, corners, or regular structures, where details may be sacrificed to prevent annoying visual artifacts that seem to stand out more. A regularity or isotropic measurement is generated for each input pixel. More regular and less anisotropic regions are mapped as immaculate regions. Higher weights for blurring, smoothing, or blending from a single frame source are assigned for immaculate regions to reduce the likelihood of generated artifacts. In the random texture regions, multiple frames are used as sources for blending, and sharpening is increased to enhance details, but more artifacts are likely. These artifacts are more easily tolerated by humans in the random texture regions than in the regular-structure immaculate regions.

Abstract: A frame-rate converter reduces halo artifacts along edges of moving objects. Halo artifacts occur on interpolated frames where a moving object covers and uncovers pixels along its edges. Motion estimation among three original frames produces hybrid direction motion vectors that are bi-directional for background and objects, but are unidirectional for covered and uncovered regions, since motion vectors with large matching errors are deleted. Covered regions in the interpolated frame are detected as intersecting only a forward but no backward hybrid motion vector. Bi-directional motion estimation from the hybrid motion vectors of two original frames produces refined motion vectors for the interpolated frame. Refined motion vectors in the covered regions are deleted and replaced with hybrid motion vectors from the original frames. Hybrid motion vectors from the original frames are assigned to the critical covered regions rather than using interpolated vectors in the covered regions, reducing halo artifacts.

Abstract: An image processor generates a Super-Resolution (SR) frame by upscaling. A Human Visual Preference Model (HVPM) helps detect random texture regions, where visual artifacts and errors are tolerated to allow for more image details, and immaculate regions having flat areas, corners, or regular structures, where details may be sacrificed to prevent annoying visual artifacts that seem to stand out more. A regularity or isotropic measurement is generated for each input pixel. More regular and less anisotropic regions are mapped as immaculate regions. Higher weights for blurring, smoothing, or blending from a single frame source are assigned for immaculate regions to reduce the likelihood of generated artifacts. In the random texture regions, multiple frames are used as sources for blending, and sharpening is increased to enhance details, but more artifacts are likely. These artifacts are more easily tolerated by humans in the random texture regions than in the regular-structure immaculate regions.

Abstract: Embodiments of the present invention include apparatuses, systems and methods for multi-patch based super-resolution from a single video frame. Such embodiments include a scale-invariant self-similarity (SiSS) based super-resolution method. Instead of searching HR examples in a database or in LR image, the present embodiments may select the patches according to the SiSS characteristics of the patch itself, so that the computational complexity of the method may be reduced because there is not any search involved. To solve the problem of lack of relevant examples in natural images, the present embodiments may employ multi-shaped and multi-sized patches in HR image reconstruction. Additionally, embodiments may include steps for a hybrid weighing method for suppressing artifacts. Advantageously, certain embodiments of the method may be 10˜1,000 times faster than the example based SR approaches using patch searching and can achieve comparable HR image quality.

Abstract: Embodiments of the present invention include apparatuses, systems and methods for multi-patch based super-resolution from a single video frame. Such embodiments include a scale-invariant self-similarity (SiSS) based super-resolution method. Instead of searching HR examples in a database or in LR image, the present embodiments may select the patches according to the SiSS characteristics of the patch itself, so that the computational complexity of the method may be reduced because there is not any search involved. To solve the problem of lack of relevant examples in natural images, the present embodiments may employ multi-shaped and multi-sized patches in HR image reconstruction. Additionally, embodiments may include steps for a hybrid weighing method for suppressing artifacts. Advantageously, certain embodiments of the method may be 10˜1,000 times faster than the example based SR approaches using patch searching and can achieve comparable HR image quality.

Abstract: A circular knitted fabric for the manufacture of a garment includes a first group of courses formed of a low melting point yarn and a first yarn, and a continuing second group of courses formed of the low melting point yarn and a second yarn. The second group of courses has an elastane content greater than that of the first group of courses. The low melting point yarn fuses with the first and second yarns after heating to a temperature sufficient to melt the low melting point yarn only. The fabric, after finishing, is adapted to be cut into a garment in such a way that the first group of courses becomes a body or the first group of courses of the garment, and the second group of courses becomes an integral elastic band portion or the second group of courses-like selvedge of the garment.

Abstract: A frame-rate converter reduces halo artifacts along edges of moving objects. Halo artifacts occur on interpolated frames where a moving object covers and uncovers pixels along its edges. Motion estimation among three original frames produces hybrid direction motion vectors that are bi-directional for background and objects, but are unidirectional for covered and uncovered regions, since motion vectors with large matching errors are deleted. Covered regions in the interpolated frame are detected as intersecting only a forward but no backward hybrid motion vector. Bi-directional motion estimation from the hybrid motion vectors of two original frames produces refined motion vectors for the interpolated frame. Refined motion vectors in the covered regions are deleted and replaced with hybrid motion vectors from the original frames. Hybrid motion vectors from the original frames are assigned to the critical covered regions rather than using interpolated vectors in the covered regions, reducing halo artifacts.

Abstract: A circular knitted fabric for the manufacture of a garment includes a first group of courses formed of a low melting point yarn and a first yarn, and a continuing second group of courses formed of the low melting point yarn and a second yarn. The second group of courses has an elastane content greater than that of the first group of courses. The low melting point yarn fuses with the first and second yarns after heating to a temperature sufficient to melt the low melting point yarn only. The fabric, after finishing, is adapted to be cut into a garment in such a way that the first group of courses becomes a body or the first group of courses of the garment, and the second group of courses becomes an integral elastic band portion or the second group of courses-like selvedge of the garment.

Abstract: A circular knitted fabric for the manufacture of a garment includes a first portion formed of a low melting point yarn and a first yarn, and a continuing second portion formed of the low melting point yarn and a second yarn. The second portion has an elastane content greater than that of the first portion. The low melting point yarn fuses with the first and second yarns after heating to a temperature sufficient to melt the low melting point yarn only. The fabric, after finishing, is adapted to be cut into a garment in such a way that the first portion becomes a body of the garment, and the second portion becomes an integral elastic band-like selvedge of the garment.

Abstract: A circular knitted fabric for the manufacture of a garment includes a first portion formed of a low melting point yam and a first yarn, and a continuing second portion formed of the low melting point yarn and a second yarn. The second portion has an elastane content greater than that of the first portion. The low melting point yarn fuses with the first and second yams after heating to a temperature sufficient to melt the low melting point yarn only. The fabric, after finishing, is adapted to be cut into a garment in such a way that the first portion becomes a body of the garment, and the second portion becomes an integral elastic band-like selvedge of the garment.

Abstract: A new method for measuring refractive index, small angle, pressure or temperature is disclosed. The method of the present invention utilizes a heterodyne interferometry technique to measure the phase difference between s-(vertical) and p-(horizontal) polarizations, and then substitutes the difference into Fresnel's equations so as to obtain the physical values of the medium to be tested, such as refractive index, small angle, pressure or temperature.

Abstract: An incident ray is emitted into a vacuum probe manufactured by a transparent material inside a cavity and is totally reflected according to the invention. Based on Fresnel's equation, when an angle of incidence is fixed, the phase difference between a s-polarized light and p-polarized light is a function of two refractive indexes on the both sides of an interface. Therefore, when the refractive index of gas inside the cavity varies with pressure therein, the phase difference between the s-polarized light and p-polarized light can be measured by a total-internal-reflection heterodyne interfermetry. Next, the refractive index of the vacuum cavity can be estimated based on the variation of the phase difference. Then, the pressure inside the cavity is obtained from the measured refractive index of the vacuum cavity cooperating a known pressure contrast list, so that vacuum degree inside the cavity is known.