Abstract: A solid titanium catalyst component (I) for olefin polymer production contains titanium, magnesium, halogen, and a cyclic multiple-ester-group-containing compound (a) represented by the formula (1). Preferably, a propylene polymer that is obtained by the olefin polymerization method and has specific thermal properties as determined primarily by differential scanning calorimetry (DSC).

Abstract: The solid titanium catalyst component (I) of the present invention contains titanium, magnesium, halogen, and a cyclic multiple-ester-group-containing compound (a) represented by the following formula (1).

Abstract: [Problem] To provide an internal donor component capable of producing, with high productivity, a propylene polymer having extremely high stereoregularity when used mainly as a solid titanium catalyst component. [Solution] A polyol ester compound having a specific polycyclic structure represented by formula (1). This ester compound is characterized in that sites including a C-R3 structure and a C-R4 structure satisfy a specific relationship.

Abstract: An apparatus identifies partial tensor data that contributes to machine learning using tensor data in a tensor format obtained by transforming training data having a graph structure. Based on the partial tensor data and the training data, the apparatus generates expanded training data to be used in the machine learning by expanding the training data.

Abstract: A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process, the process includes acquiring training data in which information that indicates whether or not an attack is performed from a first device to a second device is associated with each of a specific operation log from the first device to the second device and a plurality of operation logs that includes operation logs from the first device to the second device before and after the specific operation log; generating order matrix data that includes a graph structure that corresponds to each of the plurality of operation logs and an order relationship of the specific operation log and the operation logs before and after the specific operation log; and generating a machine learning model based on the training data by inputting the data of the order matrix data to a neural network.

Abstract: An apparatus identifies partial tensor data that contributes to machine learning using tensor data in a tensor format obtained by transforming training data having a graph structure. Based on the partial tensor data and the training data, the apparatus generates expanded training data to be used in the machine learning by expanding the training data.