Abstract: A congestion prediction device, a congestion prediction method, and a storage medium are provided. A mapping outputs an output variable when input variables are input to the mapping. The output variable indicates a degree of congestion in a predetermined specific area. The mapping is learned in advance by machine learning. The input variables include congestion variables. Each of the congestion variables indicates a degree of congestion in the specific area at regular time intervals within a specific period. The output variable indicates a degree of congestion after a lapse of the regular time interval from an end time of the specific period.

Abstract: Plastic composite gears and bearings with excellent friction and wear properties and further, plastic composite molded parts with excellent dimensional accuracy, can be presented at a low cost without adding large quantities of solid lubricant and glass fibers, etc., by adding a crystalline nucleus to crystalline polymers, such as polyacetal, polyamide, polyphenylene sulfide, etc.

Abstract: A biaxially stretched polyester film comprising a polyester and zirconium as an internal particle material, produced by polycondensation of terephthalic acid or its esterified derivative and alkylene glycol as the major essential monomeric components in the presence of a polycondensation catalyst, during which zirconium in the form of any compound thereof in an amount of 80 to 2500 ppm in terms of zirconium atom to the polyester as produced being introduced into the reaction system at a stage after the initiation of the reaction and before the intrinsic viscosity of the reaction mixture reaching 0.2, and subjecting the produced polyester to film forming.