Abstract: There is provided a catalyst for the conversion of syngas to light paraffins. The catalyst includes a first catalytic component comprising carbon and/or at least one oxide of at least one element selected from the group consisting of copper, zinc, and aluminum, and a second catalytic component comprising at least one zeolite selected from the group consisting of ferrierite, mordenite, theta-1, ZSM-5, H-beta, H-Y and ZSM 23. The first catalytic component and the second catalytic component are present in a weight ratio of from 90:10 to 50:50 respectively.

Abstract: Syngas conversion catalysts are H-MOR catalysts including iron and zinc. The catalysts can be made using a solid-state ion exchange process. The catalysts can be used in DSTO processes.

Abstract: According to embodiments of the present disclosure, there are provided a method, device, medium, and product for state prediction. The method includes: obtaining a neural network, the neural network being trained to determine a state change of a physical system over time, training data of the neural network indicating states of a plurality of physical systems at a plurality of times; obtaining state data corresponding to a state of a target physical system at a first time; determining respective unit feature representations of the physical units in the target physical system based at least on target values of material properties of the physical units; and determining a state of the target physical system at a second time based on the state data by inputting at least the unit feature representations to the neural network. Through the above solution, generalization capability of the neural network can be significantly improved.

Abstract: A method of identifying NPK-deficiency includes measuring intensities of light reflected from a cannabis plant to produce intensities at a set of spectral bands, wherein the cannabis plant is one variety of a plurality of varieties of cannabis. The intensities are applied to a classifier so that the classifier provides one of an indication that the cannabis plant is NPK-deficient or an indication that the cannabis plant is NPK-sufficient, wherein the classifier has been trained using plants that include each of the plurality of varieties of cannabis.

Abstract: A method includes applying an image containing a plurality of wheat spikes to a trained neural network to produce a plurality of sub-images, each sub-image comprising a respective single wheat spike segmented from other wheat spikes of the plurality of wheat spikes. Each sub-image is applied to a second trained neural network to produce at least one disease pixel set, wherein each disease pixel set consists of pixels depicting a diseased portion of a wheat spike.