The Role of Immunoglobulin Superfamily Cell Adhesion Molecules in Cancer Metastasis
International Journal of Cell Biology, 2012 Metastasis is a major clinical problem and results in a poor prognosis for most cancers. The metastatic pathway describes the process by which cancer cells give rise to a metastatic lesion in a new tissue or organ.
Chee Wai Wong +2 more
doaj +1 more source
Frontiers in Materials, 2019 This paper presents a mini-review of magnetorheological (MRF) fluid-based devices (MRF devices in short) including the brake, clutch, damper, and the mount reported from 2013 to 2018. MRF devices are usually designed based on three operating modes of MRF:
Do Xuan Phu, Seung-Bok Choi
doaj +1 more source
Numerical analysis for the normal force of magnetorheological fluids
Materials Research Express, 2023 As one of the most important mechanical parameters of magnetorheological fluids (MRF), the normal force has been studied by a large number of researchers using various experimental equipment and methods.
Ji-Nan Zheng +3 more
doaj +1 more source
Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral image [PDF]
, 2013 Linear spectral unmixing is a challenging problem in hyperspectral imaging that consists of decomposing an observed pixel into a linear combination of pure spectra (or endmembers) with their corresponding proportions (or abundances). Endmember extraction
Benediktsson, Jon Atli +3 more
core +4 more sources
The impact of marine recreational fishing on key fish stocks in European waters. [PDF]
PLoS ONE, 2018 Marine recreational fishing (MRF) has been shown to substantially contribute to fishing mortality of marine fish. However, European MRF catches are only quantified for a small number of stocks, so it is unclear whether a significant part of fishing ...
Zachary Radford +9 more
doaj +1 more source
A JOINT PIXEL AND REGION BASED MULTISCALE MARKOV RANDOM FIELD FOR IMAGE CLASSIFICATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 MRF model is recognized as one of efficient tools for image classification. However, traditional MRF model prove to be limited for high resolution image classification.
T. Mei, L. Zheng, S. Zhong
doaj +1 more source
A brief review of variable stiffness and damping magnetorheological fluid dampers
Frontiers in Materials, 2022 With the development of magnetorheological fluid (MRF) technology, variable stiffness and damping MRF dampers as semi-active controllers gradually show their unique advantages in the vibration control field.
Huaxia Deng, Xinyu Lian, Xinglong Gong
doaj +1 more source
Computing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts models [PDF]
, 2013 This report considers the problem of computing the Cramer-Rao bound for the parameters of a Markov random field. Computation of the exact bound is not feasible for most fields of interest because their likelihoods are intractable and have intractable ...
Batatia, Hadj +3 more
core +7 more sources
A COMPARATIVE STUDY BETWEEN PAIR-POINT CLIQUE AND MULTI-POINT CLIQUE MARKOV RANDOM FIELD MODELS FOR LAND COVER CLASSIFICATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Markov random field (MRF) is an effective method for description of local spatial-temporal dependence of image and has been widely used in land cover classification and change detection.
B. Hu, P. Li
doaj +1 more source
The importance of initial-final state correlations for the formation of fragments in heavy ion collisions [PDF]
, 1997 Using quantum molecular dynamics simulations, we investigate the formation of fragments in symmetric reactions between beam energies of E=30AMeV and 600AMeV.
A. I. Warwick +24 more
core +3 more sources