This motion, from powerful to exoticized, illustrates the trick later employed at the height of phrenological and eugenic crazes of forcing the worth, and, ultimately, the humanity, of certain individuals to correspond with often arbitrary aesthetic categories.
This motion, from powerful to exoticized, illustrates the trick — later employed at the height of phrenological and eugenic crazes — of forcing the worth, and, ultimately, the humanity, of certain individuals to correspond with often arbitrary aesthetic categories.
Interestingly, activation energies for this motion decrease from 20 kJ/mol to 15 kJ/mol with increasing polymer content and are independent on the salt content.
We rule out any possibility of this motion resulting from round-off errors, but it does depend on the level of resolution.
He couldn't figure it out, but Einstein theorized that this motion results from the collision of the particles with the atoms that comprise the liquid.
This motion results from the thermal energy carried by diffusing molecules and it is characterized by a diffusion coefficient D that provides information about the behavior of the molecular motion which in turn depends on the characteristics of the medium in which the diffusion occurs.
In a previous Research article (Bai et al., 2013) we showed that correcting for this motion by processing movies from fast direct-electron detectors allowed structure determination to near-atomic resolution from 35,000 ribosome particles.
In our study, we estimate a source model for generating strong ground motions from this earthquake by comparing the observed records from the mainshock with synthesized motions based on a characterized source model and the empirical Green's function method.
In order to understand the origin of ground motions from this earthquake and how it caused such strong shaking in Taipei, a numerical earthquake model is analyzed, including models of source rupture and wave propagation.
Strong ground motions from this earthquake were recorded by dense and accurate strong-motion networks such as Kyoshin Net (K-NET) and Kiban-Kyoshin Net (KiK-net) of the National Research Institute for Earth Science and Disaster Resilience (NIED) and the Seismic Intensity Meters Network of the Japan Metrological Agency JMAA).
In this paper, the subtle motions from recorded video (i.e. a sequence of images) are extracted by means of Phase-based Motion Estimation (PME) and the extracted information is used to conduct damage identification on a 2.3-m long Skystream® wind turbine blade (WTB).
