Abstract: Disclosed is an aerosol-delivery component comprising a vaporiser in fluid communication with a reservoir for storing a liquid aerosol precursor and an air flow path extending from an inlet of the component to an outlet of the component. The vaporiser comprises a tubular ceramic wick defining a vaporiser portion of the air flow path through the vaporiser. The vaporiser further comprises a heating element within the vaporiser portion of the air flow path wherein the heating element comprises a sheet of absorbent, electrically-conductive material.

Abstract: A method and system for generating two or three dimensional computer graphics images using multisample antialiasing (MSAA) is provided, which enables memory bandwidth to be conserved. For each of one or more pixels it is determined whether all of a plurality of sample areas of that pixel are located within a particular primitive. For those pixels where it is determined that all the sample areas of that pixel are located within that primitive, a value is stored in a multisample memory for a smaller number of the sample areas of that pixel than the total number of the sample areas of that pixel and data is stored indicating that all the sample areas of that pixel are located within that primitive.

Abstract: A non-transitory computer readable medium includes a set of instructions that in operation cause a processor to determine at least one modelled parameter of a feature of interest in petroleum exploration. The instructions also cause a processor to assign a likelihood value to each modelled parameter of the at least one modelled parameter and to generate an initial chance map for each modelled parameter of the at least one modelled parameter. Further, the instructions cause a processor to assign a weighting factor for each modelled parameter of the at least one modelled parameter, and to combine the initial chance maps using the weighting factor for each modelled parameter of the at least one modelled parameter to generate a first simulation chance map.

Abstract: A system includes a processor and a memory. The memory includes instructions that are executable by the processor to access training data of a modern feature of interest from direct observations, remotely determined data, or a combination thereof. The instructions are also executable to compile parameter data from at least one model simulation that impacts the modern feature of interest. The instructions are executable to train a machine-learning model to generate a predictive model that matches the training data of the modern feature of interest using the compiled parameter data as input. Furthermore, the instructions are executable to predict a feature of interest in a past time period using the predictive model and at least one historical model simulation that impacts the feature of interest. Additionally, the instructions are executable to execute a processing operation for facilitating hydrocarbon exploration based on the predicted feature of interest from the predictive model.

Abstract: A method for printing onto a substrate is disclosed. An ink is printed onto a liquid polymer layer to form a printed polymer layer. Printed substrates are also disclosed.

Abstract: A method comprising obtaining a thickness for each of one or more sediment packages of a subsurface formation. The method comprises generating a thickness profile of each of the one or more sediment packages based on the thickness. The method comprises obtaining one or more properties of each of the one or more sediment packages based on the thickness profile. The method comprises generating, via a learning machine, one or more sediment package classifications based on the one or more properties. The method comprises and performing a subsurface operation based on the one or more sediment package classifications.

Abstract: The invention provides a p38 MAPK inhibitor of Formula I, or a pharmaceutically acceptable salt or solvate thereof: for use in the treatment or prevention of hypercytokinemia in a human patient; wherein R is C1-3alkyl, optionally substituted by one or more halo, NR1R2 or hydroxy, and R1 and R2 are independently H, halo or C1-3alkyl, optionally substituted by one or more F. Also provided are compositions for use in the treatment or prevention of hypercytokinemia comprising the p38 MAPK inhibitor of Formula I; and methods for treating or preventing hypercytokinemia in a human patient in need thereof comprising administering to the patient a therapeutically or prophylactically effective amount of a p38 MAPK inhibitor of Formula I. The invention also provides a p38 MAPK inhibitor and an antimicrobial agent, such as an antiviral agent, for use in the treatment or prevention of hypercytokinemia.

Abstract: A system can determine a heterogeneity and a score for a reservoir for optimizing a drilling location. The system can receive a wireline log associated with a well that is positioned in a subterranean formation that includes a reservoir. The system can determine, using the wireline log, at least one statistical parameter for an interval of the well. The system can determine, using the at least one statistical parameter, a vertical heterogeneity of the reservoir. The system can determine, using the vertical heterogeneity, a score associated with the reservoir. The score can indicate an extraction difficulty and a carbon intensity of the reservoir. The system can output the score for optimizing a drilling location.

Abstract: A desalination system including: a partitioned container having upstream and downstream compartments divided by a movable partition, a first inlet port at an upstream end, and a second inlet port and an outlet port at the downstream end; a membrane container housing a cross-flow semipermeable membrane dividing the membrane container into saline and desalinated compartments, the saline compartment including first and second cross-flow ports, the desalinated compartment including a desalinated water outlet port; a feed pump connected to the first inlet port; a recharge pump having an inlet connected to the second cross-flow port and an outlet connected to the second inlet port; a main valve connected between the outlet port and the first cross-flow port; a bypass valve connecting the inlet port to the second cross-flow port and the recharge pump inlet; and a purge valve connecting the first cross-flow port and the main valve to a purge port.

Abstract: A system is described for determining an analogue geological feature. The system may include a processor and a non-transitory computer-readable medium comprising instructions that are executable by the processor to cause the processor to perform various operations. The system may generate, by extracting parameter signatures for geological features, a database including parameters about geological features associated with parameter signatures. The system may receive data including parameters and a feature-type about a geological feature of interest. The system may generate a signature including values for a subset of the feature-of-interest parameters selected based on the geological feature of interest for the feature-of-interest using the data. The system may execute a comparison of the feature signature to the parameter signatures included in the database for identifying an analogue geological feature for the feature of interest.

Abstract: A system can determine a heterogeneity and a score for a reservoir for optimizing a drilling location. The system can receive a wireline log associated with a well that is positioned in a subterranean formation that includes a reservoir. The system can determine, using the wireline log, at least one statistical parameter for an interval of the well. The system can determine, using the at least one statistical parameter, a vertical heterogeneity of the reservoir. The system can determine, using the vertical heterogeneity, a score associated with the reservoir. The score can indicate an extraction difficulty and a carbon intensity of the reservoir. The system can output the score for optimizing a drilling location.

Abstract: A lithology prediction that uses a geological age model as an input to a machine learning model. The geological age model is capable of separating and recoding different seismic packages derived from the horizon interpretation. Once the machine learning model has been trained, a validation may be performed to determine the quality of the machine learning model. The quality may be improved by refining the training of the machine learning model. The lithology prediction generated by the machine learning model that utilizes the geological age model provides an improved lithology prediction that more accurately reflects the subterranean formation of an area of interest.

Abstract: A method and system for generating two or three dimensional computer graphics images using multisample antialiasing (MSAA) is provided, which enables memory bandwidth to be conserved. For each of one or more pixels it is determined whether all of a plurality of sample areas of that pixel are located within a particular primitive. For those pixels where it is determined that all the sample areas of that pixel are located within that primitive, a value is stored in a multisample memory for a smaller number of the sample areas of that pixel than the total number of the sample areas of that pixel and data is stored indicating that all the sample areas of that pixel are located within that primitive.

Abstract: A method and system for generating two or three dimensional computer graphics images using multisample antialiasing (MSAA) is provided, which enables memory bandwidth to be conserved. For each of one or more pixels it is determined whether all of a plurality of sample areas of that pixel are located within a particular primitive. For those pixels where it is determined that all the sample areas of that pixel are located within that primitive, a value is stored in a multisample memory for a smaller number of the sample areas of that pixel than the total number of the sample areas of that pixel and data is stored indicating that all the sample areas of that pixel are located within that primitive.

Abstract: A non-metallic media substrate includes a disc-shaped substrate body having at least one media storage surface on a face thereof. The substrate body has a center opening having an inner diameter and an outer diameter surface, and the substrate body has a thickness. The substrate further includes an annular groove at the outer diameter of the media substrate, the annular groove having chamfered edges and an internal concavity extending toward the inner diameter.

Abstract: A system is described for determining an analogue geological feature. The system may include a processor and a non-transitory computer-readable medium comprising instructions that are executable by the processor to cause the processor to perform various operations. The system may generate, by extracting parameter signatures for geological features, a database including parameters about geological features associated with parameter signatures. The system may receive data including parameters and a feature-type about a geological feature of interest. The system may generate a signature including values for a subset of the feature-of-interest parameters selected based on the geological feature of interest for the feature-of-interest using the data. The system may execute a comparison of the feature signature to the parameter signatures included in the database for identifying an analogue geological feature for the feature of interest.

Abstract: A method, a tool, and a system for modeling sediment surface paleo-temperature are provided. The method includes: determining a latitudinal temperature gradient of a location for a time period in the geologic past based on a depositional environment of the location during the time period; determining a surface temperature of the location during the time period using the latitudinal temperature gradient and a latitude of the location during the time period; and modifying the surface temperature at the location during the time period based on an altitude of the location during the time period.

Abstract: A system includes a processor and a memory. The memory includes instructions that are executable by the processor to access training data of a modern feature of interest from direct observations, remotely determined data, or a combination thereof. The instructions are also executable to compile parameter data from at least one model simulation that impacts the modern feature of interest. The instructions are executable to train a machine-learning model to generate a predictive model that matches the training data of the modern feature of interest using the compiled parameter data as input. Furthermore, the instructions are executable to predict a feature of interest in a past time period using the predictive model and at least one historical model simulation that impacts the feature of interest. Additionally, the instructions are executable to execute a processing operation for facilitating hydrocarbon exploration based on the predicted feature of interest from the predictive model.

Abstract: The present invention relates to a process for producing LPG and BTX from a mixed feedstream comprising C5-C12 hydrocarbons by contacting said feedstream in the presence of hydrogen with a first hydrocracking catalyst and contacting the thus obtained first hydrocracked product in the presence of hydrogen with a second hydrocracking catalyst to produce a second hydrocracked product stream comprising LPG and BTX.

Abstract: One or more techniques and/or systems are provided for travel speed prediction. A spatial context of a prediction segment of a travel network for which a speed prediction is to be made is identified. The spatial context comprises one or more segments of the travel network that are part of trajectories of objects passing through the predication segment and that have predicted likelihoods of influencing travel speed along the prediction segment above a threshold. Features of the spatial context are formatted into a format compatible for input into the model based upon a structure of the model. The features are input into the model for processing using machine learning functionality to output the speed prediction for the prediction segment.