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Living Cell Membranes Can Self-Sort Their Components By ‘Demixing’（图）
Living Cell Membranes Self-Sort Components Demixing
2017/12/19
Cells — the building blocks of our bodies — are encapsulated by membranes. The same goes for the specialized compartments within our cells.These membranes are extremely thin, oily films, containing pr...
2018年SPIEX射线/EUV光学元件进展会议（SPIE Advances in X-Ray/EUV Optics and Components XIII）
2018年 SPIE X射线/EUV光学元件进展 会议
2017/11/27
Expanding use of x-ray and EUV radiation in many scientific and technical applications requires the continued development of new and improved sources and optics to deliver brighter, better-conditioned...
OPTO is organized into eight tracks. Choose a track and click to see the list of conferences.Review conference details by clicking on the titles below. These details include paper titles, authors, sch...
Effect of the Ratio of Raw Material Components on the Physico-chemical Characteristics of Emulsion-type Pork Sausages
Raw Material Components Formulation Physicochemical Characteristics Water content
2016/5/19
This study was conducted to investigate the effects of raw material ratio on the physicochemical characteristics of emulsion-type pork sausages. Experiment design was divided into 12 treatments, based...
Variance Components and Genetic Parameters Estimated for Fat and Protein Content in Individual Months of Lactation: The Case of Tsigai Sheep
Sheep Milk Composition Test Day Model Variance Ratios Heritability Genetic Correlations
2016/5/19
The objective of this study was to assess variance components and genetic parameters for fat and protein content in Tsigai sheep using multivariate animal models in which fat and protein content in in...
Exactly calculable field components of electric dipoles in planar boundary
calculable field components electric dipoles planar boundary
2015/10/16
The Sommerfeld integrals for the electromagnetic fields in the planar boundary between air and a homogeneous, isotropic medium, due to a horizontal and a vertical electric dipole each lying along the ...
Topological components of spaces of representations
representations Topological components
2015/9/29
Let S be a closed oriented surface of genus g > 1 and let ~r denote its fundamental
group. Let G be a semisimple Lie group. The purpose of this paper is to investigate the global properties of the s...
Mud volcanoes and microseepage: the forgotten geophysical components of atmospheric methane budget
methane lithosphere degassing mudvolcanoes greenhouse gas geodynamics
2015/9/10
Mud volcanoes and microseepage are two important natural sources of atmospheric methane, controlled by neotectonics
and seismicity. Petroleum and gas reservoirs are the deep sources, and faults and f...
A signal-strength model for gravity-field spectrum components in a local space
Earth's Gravitational Potential Local Area Spectrum Structure Spherical Cap Harmonic Analysi
2015/8/26
In the Earth gravity-field model, potential coefficients are projections of the Earth gravitational potential on the corresponding spherical harmonics by degree and order. These coefficients reflect t...
Prediction by Supervised Principal Components
Gene expression Microarray Regression Survival analysis
2015/8/21
In regression problems where the number of predictors greatly exceeds the number of observations, conventional regression techniques may produce unsatisfactory results. We describe a technique called ...
In regression problems where the number of predictors greatly exceeds the number of observations, conventional regression techniques may produce unsatisfactory results. We describe a technique called ...
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
Canonical correlation analysis DNA copy number Integrative genomic analysis L1 Matrix decomposition Principal component analysis Sparse principal component analysis SVD.
2015/8/21
We present a penalized matrix decomposition (PMD), a new framework for computing a rank-K approximation for a matrix. We approximate the matrix X as X ˆ = k K=1 dkukvk T , where dk, uk, and vk m...
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
sparse inverse covariance selection sparsity graphical lasso Gaussian graphical models graph connected components concentration graph large scale covariance estimation
2015/8/21
We consider the sparse inverse covariance regularization problem or graphical lasso with regularization parameter λ. Suppose the sample covariance graph formed by thresholding the entries of the sampl...
VARIANCE COMPONENTS AND GENERALIZED SOBOL' INDICES
VARIANCE COMPONENTS GENERALIZED SOBOL' INDICES
2015/8/21
This paper introduces generalized Sobol' indices, compares strategies for their estimation, and makes a systematic search for ecient estimators. Of particular interest are contrasts,
sums of squares...
Principal components analysis (PCA) is a classical method for the reduction of dimensionality of
data in the form of n observations (or cases) of a vector with p variables. Contemporary data sets
of...