Abstract: Used AHP or its components is converted into low molecular weight hydrocarbons using HTT reactor. These low molecular weight hydrocarbons produce ethylene, propylene, and other chemicals when fed into a steam cracker, which can be used to produce recycled components of the AHP or a fully recycled AHP.

Abstract: A detergent composition can include a cleaning composition including: (a) linear alkyl benzene sulphonate surfactant; (b) alkyl ethoxylated sulphate surfactant; and (c) alkoxylated polymer.

Abstract: A cleaning composition can include: (a) linear alkyl benzene sulphonate surfactant; (b) alkyl ethoxylated sulphate surfactant; and (c) alkoxylated polymer, wherein the alkoxylated polymer includes a core structure selected from sugar alcohol including at least 4 hydroxy moieties, wherein at least one of the hydroxy moieties of the core structure is modified with an alkylene oxide moiety selected from ethylene oxide (EO), propylene oxide (PO), butylene oxide (BO) and mixtures thereof, and wherein at least one of the hydroxy moieties derived from the alkylene oxide moiety is further substituted with an amino functional group, wherein the weight ratio of non-soap surfactant to polymer is greater than 4.0:1, and wherein the weight ratio of linear alkyl benzene sulphonate surfactant to alkyl ethoxylated sulphate surfactant is less than 2.0:1.

Abstract: The present disclosure relates to using a neural network to efficiently denoise images that were generated by a ray tracer. The neural network can be trained using noisy images generated with noisy samples and corresponding denoised or high-sampled images (e.g., many random samples). An input feature to the neural network can include color from pixels of an image. Other input features to the neural network, which would not be known in normal image processing, can include shading normal, depth, albedo, and other characteristics available from a computer-generated scene. After the neural network is trained, a noisy image that the neural network has not seen before can have noise removed without needing manual intervention.

Abstract: The present invention relates generally to methods for producing renewable detergent compounds. More specifically, the invention relates to methods for producing detergent intermediates, including bio-linear alkylbenzene (LAB), bio-alcohols, and long chain bio-paraffins, from natural oils.

Abstract: The present invention relates generally to methods for producing renewable detergent compounds. More specifically, the invention relates to methods for producing detergent intermediates, including bio-linear alkylbenzene (LAB), bio-alcohols, and long chain bio-paraffins, from natural oils.

Abstract: The present disclosure relates to using a neural network to efficiently denoise images that were generated by a ray tracer. The neural network can be trained using noisy images generated with noisy samples and corresponding denoised or high-sampled images (e.g., many random samples). An input feature to the neural network can include color from pixels of an image. Other input features to the neural network, which would not be known in normal image processing, can include shading normal, depth, albedo, and other characteristics available from a computer-generated scene. After the neural network is trained, a noisy image that the neural network has not seen before can have noise removed without needing manual intervention.

Abstract: The present disclosure relates to using a neural network to efficiently denoise images that were generated by a ray tracer. The neural network can be trained using noisy images generated with noisy samples and corresponding denoised or high-sampled images (e.g., many random samples). An input feature to the neural network can include color from pixels of an image. Other input features to the neural network, which would not be known in normal image processing, can include shading normal, depth, albedo, and other characteristics available from a computer-generated scene. After the neural network is trained, a noisy image that the neural network has not seen before can have noise removed without needing manual intervention.

Abstract: The present disclosure relates to using a neural network to efficiently denoise images that were generated by a ray tracer. The neural network can be trained using noisy images generated with noisy samples and corresponding denoised or high-sampled images (e.g., many random samples). An input feature to the neural network can include color from pixels of an image. Other input features to the neural network, which would not be known in normal image processing, can include shading normal, depth, albedo, and other characteristics available from a computer-generated scene. After the neural network is trained, a noisy image that the neural network has not seen before can have noise removed without needing manual intervention.

Abstract: The present invention relates generally to methods for producing renewable detergent compounds. More specifically, the invention relates to methods for producing detergent intermediates, including bio-linear alkylbenzene (LAB), bio-alcohols, and long chain bio-paraffins, from natural oils.

Abstract: The present invention relates generally to methods for producing renewable detergent compounds. More specifically, the invention relates to methods for producing detergent intermediates, including bio-linear alkylbenzene (LAB), bio-alcohols, and long chain bio-paraffins, from natural oils.

Abstract: A method of animation of surface deformation and wrinkling, such as on clothing, uses low-dimensional linear subspaces with temporally adapted bases to reduce computation. Full space simulation training data is used to construct a pool of low-dimensional bases across a pose space. For simulation, sets of basis vectors are selected based on the current pose of the character and the state of its clothing, using an adaptive scheme. Modifying the surface configuration comprises solving reduced system matrices with respect to the subspace of the adapted basis.

Abstract: A method of animation of surface deformation and wrinkling, such as on clothing, uses low-dimensional linear subspaces with temporally adapted bases to reduce computation. Full space simulation training data is used to construct a pool of low-dimensional bases across a pose space. For simulation, sets of basis vectors are selected based on the current pose of the character and the state of its clothing, using an adaptive scheme. Modifying the surface configuration comprises solving reduced system matrices with respect to the subspace of the adapted basis.

Abstract: The present invention relates generally to methods for producing renewable detergent compounds. More specifically, the invention relates to methods for producing detergent intermediates, including bio-linear alkylbenzene (LAB), bio-alcohols, and long chain bio-paraffins, from natural oils.

Abstract: The present invention relates generally to methods for producing renewable detergent compounds. More specifically, the invention relates to methods for producing detergent intermediates, including bio-linear alkylbenzene (LAB), bio-alcohols, and long chain bio-paraffins, from natural oils.

Abstract: A fluid cooled light emitting diode and associated lighting unit is disclosed. A fluid, preferably a liquid, cools and stabilizes the p-n junction of the light emitting diode thereby reducing the energy required to power the light emitting diode, lengthening its usable lifetime, and outputting more consistent light. The fluid cools the lens surrounding the light emitting diode, a printed circuit board on which the light emitting diode resides, or other heat transferring elements proximate to the lens of the light emitting diode.

Abstract: Novel poly-branched, mono- or poly-unsaturated functional materials are provided. More specifically, certain novel unsaturated branched functional compositions are provided that are made via isoprenoids and/or isoprenoid derivatives which come from either natural or synthetic sources. Also disclosed is their use or modification for use in consumer products such as laundry products, personal care products, dishcare products, shampoo products and hard surface cleaning products, and the like comprising the functional compositions or modified compositions.

Abstract: A fluid cooled lighting element is disclosed. A fluid, preferably a liquid, cools and stabilizes the p-n junction of a light emitting diode thereby reducing the energy required to power the light emitting diode, lengthening its usable lifetime, and outputting more consistent light. The fluid can cool a heat sink, printed circuit board, metal plates to which the light emitting diode is mounted, the lens surrounding the light emitting diode, or other heat transferring elements proximate to the light emitting diode.

Abstract: Methods of molding polymer-hydroxylated lipid compositions comprising intimate admixtures of thermoplastic polymers and hydroxylated lipids.

Abstract: Polymer-hydroxylated lipid compositions comprising intimate admixtures of thermoplastic polymer and hydroxylated lipid. Methods of making and using polymer-hydroxylated lipid compositions, and non-migrating articles made therefrom.