当社グループは 3,000 以上の世界的なカンファレンスシリーズ 米国、ヨーロッパ、世界中で毎年イベントが開催されます。 1,000 のより科学的な学会からの支援を受けたアジア および 700 以上の オープン アクセスを発行ジャーナルには 50,000 人以上の著名人が掲載されており、科学者が編集委員として名高い
。オープンアクセスジャーナルはより多くの読者と引用を獲得
700 ジャーナル と 15,000,000 人の読者 各ジャーナルは 25,000 人以上の読者を獲得
Ryan’s Henry*
Surface roughness may be thought of as a surface's tendency to not be smooth, and it is therefore connected to how humans (via their haptics) perceive the texture of a surface. It is a multsiscale feature that is connected to the spatial variability structure of surfaces from a mathematical standpoint. Depending on the disciplines that are taken into consideration, it has many definitions and interpretations. In nature, rough surfaces are common. Surface roughness is encountered and produced by near-surface processes. The resolution, scope, and accessibility of topographic information have all increased as a result of recent developments in surveying. In order to facilitate a more organized interchange of roughness formulations, this comprehensive overview summarizes efforts to express surface roughness in such datasets using examples from many Earth Science fields. The notion of roughness is surrounded by a variety of problems. Although these distinctions are occasionally made, the word "roughness" has been used to refer to a surface feature, a flow attribute, and a model tuning parameter. The number of techniques for measuring surface roughness has multiplied.