Results 131 to 140 of about 26,484 (294)
Advanced Healthcare Materials, EarlyView.We describe a microfluidic tumor‐stroma co‐culture model, engineered to resist collagen‐hydrogel contraction driven by fibroblast activity. Surface silanization with APTES covalently anchors the matrix to the chip, while Genipin crosslinking progressively increases stiffness and elasticity without harming cells. This supports >10 days of co‐culture and
Doriane Le Manach +4 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.A miniaturized drug sensitivity and resistance testing (DSRT) workflow based on the Droplet Microarray (DMA) platform enables functional drug testing using minimal patient‐derived tumor material. By screening nanoliter‐scale droplets containing as few as 300 cells, this approach generates reproducible and tumor‐specific drug response profiles ...
Maryam Salarian +7 more
wiley +1 more source
Video Analysis Via Nonlinear Dimensionality Reduction [PDF]
, 2007 In this work we present an application of nonlinear dimensionality reduction techniques for video analysis. We review several methods for dimensionality reduction and then concentrate on the study of Diffusion Maps. First we show how diffusion maps can be applied to video analysis.
openaire +1 more source
Efficient Parallel Algorithm for Nonlinear Dimensionality Reduction on GPU
, 2012 [[abstract]]Advances in nonlinear dimensionality reduction provide a way to understand and visualize the underlying structure of complex data sets. The performance of large-scale nonlinear dimensionality reduction is of key importance in data mining ...
Tsung Tai Yeh;Tseng-Yi Chen;Wei-Kuan Shih;Yeh-Chiu Chen
core
Riemannian manifold learning for nonlinear dimensionality reduction
, 2006 In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient algorithm called Riemannian manifold learning (RML).
Hongbin Zha +8 more
core +1 more source
Advanced Healthcare Materials, EarlyView.Packed hydrogel microfiber (PHM) materials consist of flexible and high aspect ratio hydrogel components that, as a bulk material, are simultaneously mechanically robust and dynamic. Cells cultured in or on PHM scaffolds can be influenced by topographical cues or interact with a dynamic environment that permits cell spreading and multicellular ...
M. Gregory Grewal +7 more
wiley +1 more source
Microengineered Gradient Hydrogels for Mechanobiology
Advanced Healthcare Materials, EarlyView.Gradient hydrogels are used to mimic the mechanical heterogeneity in native tissues, offering powerful in vitro platforms to study cell‐material interactions in diverse pathophysiological contexts. Here, we present a comprehensive review of the design and experimental considerations for stiffness gradient hydrogels, discussing exemplary achievements ...
Shin Wei Chong +4 more
wiley +1 more source
Learning Propagators for Sea Surface Height Forecasts Using Koopman Autoencoders
Geophysical Research LettersDue to the wide range of processes impacting the sea surface height (SSH) on daily‐to‐interannual timescales, SSH forecasts are hampered by numerous sources of uncertainty.
Andrew E. Brettin +2 more
doaj +1 more source
Nonlinear dimensionality reduction methods in climate data analysis
, 2008 Linear dimensionality reduction techniques, notably principal component analysis, are widely used in climate data analysis as a means to aid in the interpretation of datasets of high dimensionality.
Ross, Ian
core
Gaussian processes autoencoder for dimensionality reduction
, 2014 Learning low dimensional manifold from highly nonlinear data of high dimensionality has become increasingly important for discovering intrinsic representation that can be utilized for data visualization and preprocessing.
Cai, Z. +7 more
core +1 more source