Abstract: Provided is a masking agent for an off-flavor of plant-based protein ingredient, the masking agent containing phenylacetaldehyde and/or 4-hydroxyphenylacetaldehyde.

Abstract: The present invention relates to a mutant reverse transcriptase (RT) with increased thermal stability relative to the wildtype, a nucleic acid encoding the mutant RT, a cell comprising the mutant RT or the nucleic acid, a kit comprising the mutant RT, the use of the mutant RT for cDNA synthesis, method for reverse transcription of RNA comprising synthesizing cDNA with the use of the mutant RT and a method for detecting an RNA marker in a sample with the use of the mutant RT.

Abstract: A battery management system includes a control device and a storage. The storage stores at least one trained neural network. The trained neural network includes an input layer that accepts input data that represents a numeric value for each pixel in an image where a prescribed CCV waveform (a CCV charging waveform or a CCV discharging waveform) of a secondary battery is drawn in a region constituted of a predetermined number of pixels, and when input data is input to the input layer, the trained neural network outputs a full charge capacity of the secondary battery. The control device estimates the full charge capacity of a target battery by inputting input data obtained for the target battery into the input layer of the trained neural network.

Abstract: The present invention relates to a mutant reverse transcriptase (RT) with increased thermal stability relative to the wildtype, a nucleic acid encoding the mutant RT, a cell comprising the mutant RT or the nucleic acid, a kit comprising the mutant RT, the use of the mutant RT for cDNA synthesis, method for reverse transcription of RNA comprising synthesizing cDNA with the use of the mutant RT and a method for detecting an RNA marker in a sample with the use of the mutant RT.

Abstract: A battery management system includes a control device and a storage. The storage stores at least one trained neural network. The trained neural network includes an input layer that accepts input data that represents a numeric value for each pixel in an image where a prescribed CCV waveform (a CCV charging waveform or a CCV discharging waveform) of a secondary battery is drawn in a region constituted of a predetermined number of pixels, and when input data is input to the input layer, the trained neural network outputs a full charge capacity of the secondary battery. The control device estimates the full charge capacity of a target battery by inputting input data obtained for the target battery into the input layer of the trained neural network.

Abstract: A battery management system includes a control device and a storage. The storage stores at least one trained neural network. The trained neural network includes an input layer that accepts input data that represents a numeric value for each pixel in an image where a prescribed CCV waveform (a CCV charging waveform or a CCV discharging waveform) of a secondary battery is drawn in a region constituted of a predetermined number of pixels, and when input data is input to the input layer, the trained neural network outputs a full charge capacity of the secondary battery. The control device estimates the full charge capacity of a target battery by inputting input data obtained for the target battery into the input layer of the trained neural network.

Abstract: The present invention relates to a mutant reverse transcriptase (RT) with increased thermal stability relative to the wildtype, a nucleic acid encoding the mutant RT, a cell comprising the mutant RT or the nucleic acid, a kit comprising the mutant RT, the use of the mutant RT for cDNA synthesis, method for reverse transcription of RNA comprising synthesizing cDNA with the use of the mutant RT and a method for detecting an RNA marker in a sample with the use of the mutant RT.

Abstract: The present invention relates to a mutant reverse transcriptase (RT) with increased thermal stability relative to the wildtype, a nucleic acid encoding the mutant RT, a cell comprising the mutant RT or the nucleic acid, a kit comprising the mutant RT, the use of the mutant RT for cDNA synthesis, method for reverse transcription of RNA comprising synthesizing cDNA with the use of the mutant RT and a method for detecting an RNA marker in a sample with the use of the mutant RT.

Abstract: A battery management system includes a control device and a storage. The storage stores at least one trained neural network. The trained neural network includes an input layer that accepts input data that represents a numeric value for each pixel in an image where a prescribed CCV waveform (a CCV charging waveform or a CCV discharging waveform) of a secondary battery is drawn in a region constituted of a predetermined number of pixels, and when input data is input to the input layer, the trained neural network outputs a full charge capacity of the secondary battery. The control device estimates the full charge capacity of a target battery by inputting input data obtained for the target battery into the input layer of the trained neural network.

Abstract: The present invention relates to a mutant reverse transcriptase (RT) with increased thermal stability relative to the wildtype, a nucleic acid encoding the mutant RT, a cell comprising the mutant RT or the nucleic acid, a kit comprising the mutant RT, the use of the mutant RT for cDNA synthesis, method for reverse transcription of RNA comprising synthesizing cDNA with the use of the mutant RT and a method for detecting an RNA marker in a sample with the use of the mutant RT.