Abstract: A prelithiated negative electrode, and a secondary battery including a prelithiated electrode, including a negative electrode current collector; and a negative electrode active material layer present on at least one surface of the negative electrode current collector. The negative electrode active material layer includes high-capacity artificial graphite having no carbon coating. The negative electrode active material layer is prelithiated, and the content of lithium intercalated to the prelithiated negative electrode active material layer is 3% to 5% based on the lithium content intercalated when the negative electrode is charged to 100%.

Abstract: A substrate inspection apparatus generates, when anomalies of a plurality of second solder pastes among a plurality of first solder pastes printed on a first substrate is detected, at least one image indicating a plurality of second solder pastes with anomalies detected by using an image about a first substrate, applies the at least one image to a machine-learning-based model, acquires a plurality of first values indicating relevance of respective first fault types to the at least one image and a plurality of first images indicating regions associated with one of a plurality of first fault types, determines a plurality of second fault types, which are associated with the plurality of second solder pastes by using the plurality of first values and the plurality of first images, and determines at least one third solder paste, which is associated with the respective second fault types.

Abstract: Disclosed is a method for obtaining properties using an indentation. The method includes an initial value calculating step, a reference value calculating step, a pre-set value setting step and a checking step.

Abstract: A substrate inspection apparatus generates, when anomalies of a plurality of second solder pastes among a plurality of first solder pastes printed on a first substrate is detected, at least one image indicating a plurality of second solder pastes with anomalies detected by using an image about a first substrate, applies the at least one image to a machine-learning-based model, acquires a plurality of first values indicating relevance of respective first fault types to the at least one image and a plurality of first images indicating regions associated with one of a plurality of first fault types, determines a plurality of second fault types, which are associated with the plurality of second solder pastes by using the plurality of first values and the plurality of first images, and determines at least one third solder paste, which is associated with the respective second fault types.