Abstract: A millable-type silicone rubber composition, including: (A) 100 parts by mass of an organopolysiloxane represented by following average composition formula (1), the organopolysiloxane having polymerization degree of 100 or more, wherein a content of a low molecular siloxane contained as an impurity and having a polymerization degree of 10 or less is less than 1,000 ppm; (B) 5 to 100 parts by mass of a treated silica treated with a vinyl group-containing alkoxysilane and/or a vinyl group-containing organosilazane, the treated silica having a hydrophobicity degree of 40 or more; and (C) an effective amount of a curing agent. This provides a millable-type silicone rubber composition that yields a silicone rubber cured product with: a total of low molecular siloxane components having polymerization degree of 10 or less of less than 1,000 ppm; a small change in plasticity degree of the silicone rubber compound; and a small compression set.

Abstract: A method for manufacturing granulated silica. The method includes granulating silica powders each having a primary particle size of 5 to 50 nm by use of water, and hydrophobizing each surface of the silica powders with a silicon atom-containing hydrophobizing agent before or simultaneously with the granulation step.

Abstract: A method for manufacturing granulated silica. The method includes granulating silica powders each having a primary particle size of 5 to 50 nm by use of water, and hydrophobizing each surface of the silica powders with a silicon atom-containing hydrophobizing agent before or simultaneously with the granulation step.

Abstract: A cellulose nanofiber-supporting inorganic powder includes a cellulose nanofiber and an inorganic powder, wherein the cellulose nanofiber is supported on the inorganic powder. Thus, the cellulose nanofiber may be readily and uniformly dispersed in a resin or rubber composition, and, by adding to the composition, a cellulose nanofiber-supporting inorganic powder is capable of improving the physical properties of a resin or a rubber.

Abstract: An output sentence generation apparatus for automatically generating one output sentence from a plurality of input keywords includes a candidate sentence generator incorporating a learned neural network configured to take in the plurality of keywords and generate a plurality of candidate sentences each including at least some of the plurality of keywords, and an evaluation outputter configured to calculate an overlap ratio for each of the plurality of candidate sentences generated by the candidate sentence generator and increase an evaluation of the candidate sentence with a small overlap ratio to thereby determine an output sentence from the plurality of candidate sentences. The overlap ratio is the number of occurrences of an overlapping word with respect to the number of occurrences of all words included in the corresponding candidate sentence.

Abstract: The invention provides: an electrostatic image-developing toner external additive including granulated silica which is a granulated material of silica powders each having a primary particle size of 5 to 50 nm and a degree of hydrophobization of 50% or more, the granulated silica having a loose bulk density of 150 g/L or more; and a toner including the electrostatic image-developing toner external additive. These provide an electrostatic image-developing toner external additive excellent in handleability and workability and also capable of improving image quality, and a toner using the external additive.

Abstract: The present invention provides granulated silica including water-granulated silica powders, each of the silica powders having a primary particle size of 5 to 50 nm and a surface hydrophobized with a silicon atom-containing hydrophobizing agent; the granulated silica having a degree of hydrophobization of 40 or more and a loose bulk density of 150 g/L or more. This provides granulated silica that is excellent in handleability and has good dispersibility.

Abstract: An output sentence generation apparatus for automatically generating one output sentence from a plurality of input keywords includes a candidate sentence generator incorporating a learned neural network configured to take in the plurality of keywords and generate a plurality of candidate sentences each including at least some of the plurality of keywords, and an evaluation outputter configured to calculate an overlap ratio for each of the plurality of candidate sentences generated by the candidate sentence generator and increase an evaluation of the candidate sentence with a small overlap ratio to thereby determine an output sentence from the plurality of candidate sentences. The overlap ratio is the number of occurrences of an overlapping word with respect to the number of occurrences of all words included in the corresponding candidate sentence.