Abstract: The present invention relates to a method for optimization and recovery of second-generation sugar diluted stream, comprising pretreatment, enzymatic hydrolysis and mainly washing the residual solid from the enzymatic hydrolysis, which allows the increase of sugar recovery. The use of this sugar diluted stream is crucial for process integration, may have different possibilities of use, for example, can be applied in the mechanical refining step, microorganisms propagation, enzyme production, fermentation, enzymatic hydrolysis, including combination of uses.

Abstract: A method is described. The method includes receiving a communication including a command for a data source accessed via an interface. The interface is a data source agnostic platform and is capable of decoupling execution of the commands for the data source from a current session. The method also includes generating an augmented communication including the command and dynamically injected code for enforcing at least one policy. The augmented communication is provided to the interface. The interface enforces policies in response to the dynamically injected code in the augmented communication being executed by the interface.

Abstract: A method, comprising: heating at a temperature of at least 90° C. for a time of at least 10 minutes and a pressure of at least one atmosphere: 1) a potassic framework silicate ore; 2) at least one material selected from the group consisting of an oxide, a hydroxide, and a carbonate of at least one of an alkaline earth metal and an alkali metal; and 3) water, thereby producing a first product; combining the first product with a source of a component to form a second product; and drying the second product to provide a composition comprising an MPM and the component, wherein the source of the component comprises at least one member selected from the group consisting of KCl, a macronutrient source, a micronutrient source and a source of a beneficial element.

Abstract: A method for identifying a resource in a field using historic well data including vertical well logs for the resource and historic horizontal well production data for the resource, the method including extracting a plurality of features from the vertical well logs, performing a spatial interpolation of the plurality of features extracted from the vertical well logs onto coordinates of the horizontal well production data to determine a plurality of interpolated features, and building a model predicting production of the resource in the field by regressing the horizontal well production data onto the interpolated features, wherein the model is displayed as a visualization of the resource production predicted in the field.

Abstract: A method for identifying a resource in a field using historic well data including vertical well logs for the resource and historic horizontal well production data for the resource, the method including extracting a plurality of features from the vertical well logs, performing a spatial interpolation of the plurality of features extracted from the vertical well logs onto coordinates of the horizontal well production data to determine a plurality of interpolated features, and building a model predicting production of the resource in the field by regressing the horizontal well production data onto the interpolated features, wherein the model is displayed as a visualization of the resource production predicted in the field.

Abstract: Computer implemented methods of compressing and decompressing image data are described. A discrete cosine (DCT) transformation is applied to each of a plurality of pixel blocks to generate a set of DCT coefficients for each pixel block comprising a DC DCT coefficient and a plurality of AC DCT coefficient. Each set of DCT coefficients is quantized. A DC array is formed from the set of quantized DC OCT coefficients and an AC matrix is formed from the set of quantized AC DCT coefficients. The AC matrix is compressed by eliminating blocks of data having only zero values and forming a reduced AC array from blocks including non-zero values. The reduced AC array is compressed using a key to form a coded AC array. The DC array and coded AC array are arithmetically coded to form arithmetically coded data which is included in a compressed image file. The decompression method is essentially the reverse process.

Abstract: The present invention relates to a packaging method for increasing the shelf life of fungal spores and to the packaging that contains such spores. The packaging method comprises the steps of pre-drying the spores to a water activity range viable for the fungus of interest, followed by packing of the spores into gas- and water-vapor-impermeable packaging by means of the use of sachets, thereby providing an atmosphere of low relative humidity and low oxygen content, followed by keeping of the spores in the packaging for a certain period of time at the temperature suitable for the spores prior to the exposure thereof to high temperatures.

Abstract: Computer implemented methods of compressing and decompressing image data are described. A discrete cosine (DCT) transformation is applied to each of a plurality of pixel blocks to generate a set of DCT coefficients for each pixel block comprising a DC DCT coefficient and a plurality of AC DCT coefficient. Each set of DCT coefficients is quantised. A DC array is formed from the set of quantised DC OCT coefficients and an AC matrix is formed from the set of quantised AC DCT coefficients. The AC matrix is compressed by eliminating blocks of data having only zero values and forming a reduced AC array from blocks including non-zero values. The reduced AC array is compressed using a key to form a coded AC array. The DC array and coded AC array are arithmetically coded to form arithmetically coded data which is included in a compressed image file. The decompression method is essentially the reverse process.

Abstract: A method for identifying a resource in a field using historic well data including vertical well logs for the resource and historic horizontal well production data for the resource, the method including extracting a plurality of features from the vertical well logs, performing a spatial interpolation of the plurality of features extracted from the vertical well logs onto coordinates of the horizontal well production data to determine a plurality of interpolated features, and building a model predicting production of the resource in the field by regressing the horizontal well production data onto the interpolated features, wherein the model is displayed as a visualization of the resource production predicted in the field.

Abstract: A method for identifying a resource in a field using historic well data including vertical well logs for the resource and historic horizontal well production data for the resource, the method including extracting a plurality of features from the vertical well logs, performing a spatial interpolation of the plurality of features extracted from the vertical well logs onto coordinates of the horizontal well production data to determine a plurality of interpolated features, and building a model predicting production of the resource in the field by regressing the horizontal well production data onto the interpolated features, wherein the model is displayed as a visualization of the resource production predicted in the field.

Abstract: A population comparison system, method and a computer program product. A stored list of population members, e.g., hydrocarbon reservoirs, includes parameters for corresponding known characteristics and analogous members for each member. A new population member input receives new member descriptions including parameters for each respective new member. A parameter extraction system automatically extracts an estimated value for each missing key parameter, providing a supplemented description. An analogous member selector automatically selects a subset of listed population members as analogous members for each new population member responsive to the supplemented description. The analogous members serve as a basis for uncertainty characterization from the joint parameter distribution and univariate distributions for each parameter.

Abstract: A population comparison system, method and a computer program product therefor. A stored list of population members, e.g., hydrocarbon reservoirs, includes parameters for corresponding known characteristics and analogous members for each member. A new population member input receives new member descriptions including parameters for each respective new member. A parameter extraction system automatically extracts an estimated value for each missing key parameter, providing a supplemented description. An analogous member selector automatically selects a subset of listed population members as analogous members for each new population member responsive to the supplemented description.

Abstract: A population comparison system, method and a computer program product. A stored list of population members, e.g., hydrocarbon reservoirs, includes parameters for corresponding known characteristics and analogous members for each member. A new population member input receives new member descriptions including parameters for each respective new member. A parameter extraction system automatically extracts an estimated value for each missing key parameter, providing a supplemented description. An analogous member selector automatically selects a subset of listed population members as analogous members for each new population member responsive to the supplemented description. The analogous members serve as a basis for uncertainty characterization from the joint parameter distribution and univariate distributions for each parameter.

Abstract: A population comparison system, method and a computer program product therefor. A stored list of population members, e.g., hydrocarbon reservoirs, includes parameters for corresponding known characteristics and analogous members for each member. A new population member input receives new member descriptions including parameters for each respective new member. A parameter extraction system automatically extracts an estimated value for each missing key parameter, providing a supplemented description. An analogous member selector automatically selects a subset of listed population members as analogous members for each new population member responsive to the supplemented description.

Abstract: The present invention relates to a packaging method for increasing the shelf life of fungal spores and to the packaging that contains such spores. The packaging method comprises the steps of pre-drying the spores to a water activity range viable for the fungus of interest, followed by packing of the spores into gas- and water-vapour-impermeable packaging by means of the use of sachets, thereby providing an atmosphere of low relative humidity and low oxygen content, followed by keeping of the spores in the packaging for a certain period of time at the temperature suitable for the spores prior to the exposure thereof to high temperatures.

Abstract: A 3D scanning apparatus configured to image a physical entity comprises a radiation projector for projecting a plurality of radiation stripes onto the physical entity, a detector for detecting striped radiation received from the physical entity; and a data storage device for storing the received radiation as a pixellated bitmap image, the apparatus characterised in that the physical entity, the radiation projector and the detector are geometrically arranged to constrain the number of times that each received stripe is permitted to occur in a given pixel row of the bitmap, the geometrica) constraint determining a stored occlusion classification comprising a plurality of types of occlusions and the apparatus additionally comprising an occlusion type processing means configured to utilise the classification for detecting the various types of occlusions in said received image data.

Abstract: A 3D scanning apparatus configured to image a physical entity comprises a radiation projector for projecting a plurality of radiation stripes onto the physical entity, a detector for detecting striped radiation received from the physical entity; and a data storage device for storing the received radiation as a pixellated bitmap image, the apparatus characterised in that the physical entity, the radiation projector and the detector are geometrically arranged to constrain the number of times that each received stripe is permitted to occur in a given pixel row of the bitmap, the geometrica) constraint determining a stored occlusion classification comprising a plurality of types of occlusions and the apparatus additionally comprising an occlusion type processing means configured to utilise the classification for detecting the various types of occlusions in said received image data.