1,191 research outputs found
A Definition of Vortex Vector and Vortex
Vortex is ubiquitous in nature. However, there is not a consensus on the
vortex definition in fluid dynamics. Lack of mathematical definition has caused
considerable confusions in visualizing and understanding the coherent vortical
structures in turbulence. According to previous study, it is realized that
vortex is not the vorticity tube and vorticity should be decomposed into a
rotational part which is the vortex vector and a non-rotational part which is
the shear. In this paper, several new concepts such as fluid rotation of local
point, the direction of fluid rotation axis and the strength of fluid rotation
are proposed by investigating the kinematics of fluid element in the 2D and 3D
flows. A definition of a new vector quantity called vortex vector is proposed
to describe the local fluid rotation. The direction of the vortex vector is
defined as the direction of local fluid rotation axis. The velocity components
in the plane orthogonal to the vortex vector have zero derivatives along the
vortex vector direction. The magnitude of the vortex vector is defined as the
rotational part of vorticity in the direction of the vortex vector, which is
the twice of the minimum angular velocity of fluid around the point among all
azimuth in the plane perpendicular to vortex vector. According to the
definition of the vortex vector, vortex is defined as a connected flow region
where the magnitude of the vortex vector at each point is larger than zero. The
new definition for the vortex vector and vortex follows three principles: 1.
Local in quantity, 2. Galilean invariant, 3. Unique. The definitions are
carefully checked by DNS and LES examples which clearly show that the new
defined vortex vector and vortex can fully represent the complex structures of
vortices in turbulence.Comment: 26 pages, 15figure
DNS Study on Vorticity Structures in Late Flow Transition
Vorticity and vortex are two different but related concepts. This paper
focuses on the investigation of vorticity generation and development, and
vorticity structure inside/ outside the vortex. Vortex is a region where the
vorticity overtakes deformation. Vortex cannot be directly represented by the
vorticity. Except for those vorticity lines which come from and end at side
boundaries, another type of vorticity, self-closed vorticity lines named
vorticity rings, is numerously generated inside the domain during flow
transition. These new vorticity rings are found around the hairpin vortex heads
and legs. The generation and growth of vorticity rings are produced by the
buildup of the vortices according to the vorticity transport equation. On the
other hand, vortex buildup is a consequence of vorticity line stretching,
tilting and twisting. Both new vorticity and new vortices are generated during
the flow transition. According to the Helmholtz vorticity flux conservation
law, vorticity line cannot be interrupted, started, or ended inside the flow
field, the newly produced vorticity has only one form which is the vorticity
rings. In addition, an interesting finding is that a single hairpin vortex
consists of several types of vorticity lines which could come from the side
boundaries, whole vorticity rings and part of vorticity rings
子宮頸部腫瘍性疾患患者からの液状細胞診検体におけるヒトパピローマウイルスE6/E7転写変異体の個別解析
筑波大学University of Tsukuba博士(医学)Doctor of Philosophy in Medical Sciences2018thesi
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Chromatin dysregulation and DNA methylation at transcription start sites associated with transcriptional repression in cancers.
Although promoter-associated CpG islands have been established as targets of DNA methylation changes in cancer, previous studies suggest that epigenetic dysregulation outside the promoter region may be more closely associated with transcriptional changes. Here we examine DNA methylation, chromatin marks, and transcriptional alterations to define the relationship between transcriptional modulation and spatial changes in chromatin structure. Using human papillomavirus-related oropharyngeal carcinoma as a model, we show aberrant enrichment of repressive H3K9me3 at the transcriptional start site (TSS) with methylation-associated, tumor-specific gene silencing. Further analysis identifies a hypermethylated subtype which shows a functional convergence on MYC targets and association with CREBBP/EP300 mutation. The tumor-specific shift to transcriptional repression associated with DNA methylation at TSSs was confirmed in multiple tumor types. Our data may show a common underlying epigenetic dysregulation in cancer associated with broad enrichment of repressive chromatin marks and aberrant DNA hypermethylation at TSSs in combination with MYC network activation
Effect of Low-Stress Fatigue on the Off-Crack-Plane Fracture Energy in Engineered Cementitious Composites
This paper presented an experimental study on the flexural properties of engineered cementitious composites (ECCs). The bending fatigue damage, residual deformation, and damage characteristics were investigated after a certain number of low stress levels in fatigue load. The composite fracture energy and fiber-bridging fracture energy were calculated by the J integral. It is observed that the number of cracks increased with the increment of stress levels, and most of the cracks were formed during the earlier stage of the dynamic test. The deformation capability decreased with the increment of stress levels while the reduction of the ultimate load was minor after the dynamic load. Furthermore, the strain-hardening phenomenon of the specimen enhanced initially and then weakened with the increment of stress levels. The residual equivalent yield strength became smaller with the increase of stress levels. Meanwhile, the trend was mild at low stress levels and then became steep at high stress levels
Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models
Diffusion-based generative models have recently emerged as powerful solutions
for high-quality synthesis in multiple domains. Leveraging the bidirectional
Markov chains, diffusion probabilistic models generate samples by inferring the
reversed Markov chain based on the learned distribution mapping at the forward
diffusion process. In this work, we propose Modiff, a conditional paradigm that
benefits from the denoising diffusion probabilistic model (DDPM) to tackle the
problem of realistic and diverse action-conditioned 3D skeleton-based motion
generation. We are a pioneering attempt that uses DDPM to synthesize a variable
number of motion sequences conditioned on a categorical action. We evaluate our
approach on the large-scale NTU RGB+D dataset and show improvements over
state-of-the-art motion generation methods
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