Abstract: The present disclosure relates to a composition for preparing hexanol or butanol and a method for preparing hexanol or butanol using ethanol and synthesis gas, wherein the composition according to an aspect of the present disclosure is a medium composition containing ethanol as an active ingredient, and by culturing a strain producing hexanol or butanol after inoculating with a medium containing the composition and supplying synthesis gas, hexanol or butanol can be prepared economically using inexpensive synthesis gas, and hexanol or butanol can be prepared with high efficiency by focusing the flow of a carbon source consumed in a fermentation process to the production of hexanol or butanol.

Abstract: Provided is a process proximity effect correction method capable of efficiently improving the dispersion of patterns. There is a process proximity effect correction method according to some embodiments, the process proximity effect correction method of a process proximity effect correction device for performing process proximity effect correction (PPC) of a plurality of patterns using a machine learning module executed by a processor, comprising: training a sensitivity model by inputting a layout image of the plurality of patterns and a layout critical dimension (CD) of the plurality of patterns into the machine learning module; estimating an after cleaning inspection critical dimension (ACI-CD) sensitivity prediction value of the plurality of patterns by inferring an ACI-CD prediction value of the plurality of patterns; and determining a correction rate of the layout CD of the plurality of patterns using the estimated sensitivity prediction value.

Abstract: A method of reinforcement learning of a neural network device for generating a verification vector for verifying a circuit design comprising a circuit block includes inputting a test vector to the circuit block, generating one or more rewards based on a coverage corresponding to the test vector, the coverage being determined based on a state transition of the circuit block based on the test vector, and applying the one or more rewards to a reinforcement learning.

Abstract: The present invention provides a method for preparing a water insoluble gel composition comprising: mixing a water soluble polysaccharide, an epoxy cross-linking agent, an alkaline compound and a solvent; and drying the thus obtained mixture at 1 to 30° C. under vacuum to remove the solvent, and a water insoluble gel composition.

Abstract: The present invention provides a method for preparing a water insoluble gel composition comprising: mixing a water soluble polysaccharide, an epoxy cross-linking agent, an alkaline compound and a solvent; and drying the thus obtained mixture at 1 to 30° C. under vacuum to remove the solvent, and a water insoluble gel composition.