Abstract: A light-source device includes a plurality of light emitters; and a plurality of optical elements through which laser beams emitted from the plurality of light emitters pass. The plurality of optical elements includes: a first optical element configured to emit a laser beam of a first divergence angle; and a second optical element configured to emit a laser beam of a second divergence angle smaller than the first divergence angle.

Abstract: A method for producing a molded article of expanded beads includes filling tubular polypropylene-based resin expanded beads each having a through-hole in a mold, and supplying a heating medium to fusion-bond the expanded beads to each other. The expanded beads have a foamed layer constituted by polypropylene-based resin. A closed cell of the expanded beads is 90% or more. An average hole diameter (d) of through-holes of the expanded beads is less than 1 mm. A ratio [d/D] of the average hole diameter (d) to an average outer diameter (D) of the expanded beads is 0.4 or less. An open cell content of the molded article of expanded beads is 2.5% or more and 12% or less.

Abstract: According to an aspect of the present invention, provided is an information processing apparatus comprising a memory configured to store a program; and a processor configured to execute a program so as to output a parameter result in relation to a thin film by inputting a profile result in relation to an intensity of X-ray from the thin film to a neural network, wherein the neural network is a neural network that is allowed to machine-learn teacher data using profile data in relation to an intensity of X-ray from a thin film as input data and using parameter data in relation to the thin film as output data.

Abstract: According to an aspect of the present invention, provided is an information processing apparatus, comprising: a processor configured to execute a program so as to output a diagnostic result diagnosing an analysis profile result by inputting an input profile result in relation to an intensity of X-ray from a thin film and the analysis result of the input profile result to a neural network, wherein the neural network is a neural network that is allowed to machine-learn teacher data using input profile data in relation to an intensity of X-ray from a thin film and analysis profile data obtained from the input profile data as input data, and using diagnostic data obtained by diagnosing the analysis profile data as output data.