Results 71 to 80 of about 2,771,485 (258)

From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits

open access: yesAdvanced Science, EarlyView.
This review establishes a unified PS–EQ–RF framework linking graphene sensing mechanisms, native electrical outputs, and output‐specific readout circuits. Voltage‐, current‐, resistance‐, and capacitance‐type sensing systems are systematically classified to guide architecture selection, low‐noise design, system co‐design, and practical integration ...
Jinduo Zhang   +5 more
wiley   +1 more source

A note on the choice of the number of slices in sliced inverse regression [PDF]

open access: yes, 2007
Sliced inverse regression (SIR) is a clever technique for reducing the dimension of the predictor in regression problems, thus avoiding the curse of dimensionality. There exist many contributions on various aspects of the performance of SIR. Up to now, few attention has been paid to the problem of choosing the number of slices within the SIR procedure ...
Becker, Claudia, Gather, Ursula
openaire   +3 more sources

Semi-Independent Sliced Inverse Regression

open access: yes, 2014
This paper deals with dimension reduction in regression for large dataset. A new method based on the sliced inverse regression approach is introduced, called semi-independent regularized sliced inverse regression.
Li, Kevin
core  

The Interplay of Curvature, Geometry, and Topology Shapes Tissue Organisation in Epithelial Shells

open access: yesAdvanced Science, EarlyView.
Purely geometric 3D Voronoi models predict the organisation of epithelial shells. The interplay of curvature, geometry, and topology enriches the number of pentagons in shells with lower number of cells. Small MDCK cysts and Mouse embryos match the top polygonal configurations in a compactness‐based ranking derived from the Voronoi model. In conclusion,
Laura Morato   +9 more
wiley   +1 more source

S2IR: Standardized Sliced Inverse Regression

open access: yes, 2013
In this paper we consider a semiparametric regression model involving a $p$-dimensional explanatory variable ${\mathbf{x}}$ and including a dimension reduction of ${\mathbf{x}}$ via an index $B'{\mathbf{x}}$.
Kevin, Li
core  

Macrophage Trogocytosis of Tumor Cells Drives the Immunosuppression of Tumor Microenvironment

open access: yesAdvanced Science, EarlyView.
Trogocytosis efficiency varies significantly among different tumor cells and is inversely related to their cortical stiffness; this efficiency dictates the extent of immunosuppression via upregulation of CXCL5 and Arg‐1, ultimately driving CD8+T cell exhaustion and tumor escape.
Chao Liang   +9 more
wiley   +1 more source

ISIR: Independent Sliced Inverse Regression

open access: yes, 2013
International audienceIn this paper we consider a semiparametric regression model involving a $p$-dimensional explanatory variable ${\mathbf{x}}$ and including a dimension reduction of ${\mathbf{x}}$ via an index $B'{\mathbf{x}}$. In this model, the main
Li, Kevin
core  

Robust estimation of dimension reduction space [PDF]

open access: yes
Most dimension reduction methods based on nonparametric smoothing are highly sensitive to outliers and to data coming from heavy-tailed distributions. We show that the recently proposed methods by Xia et al.
Wolfgang Härdle, Pavel Cizek
core   +2 more sources

TGFBI Maintains Fibrocartilage Homeostasis by Restraining O‐GlcNAcylation to Inactivate and Destabilize ADAMTS16 in Temporomandibular Joint Osteoarthritis

open access: yesAdvanced Science, EarlyView.
TGFBI deficiency elevates O‐GlcNAcylation, promoting the transcriptional activation of ADAMTS16 and OGT‐mediated post‐translational modification of ADAMTS16 at Ser1170. This leads to its stabilization and accumulation, driving chondrocyte metabolic disorders and senescent phenotypes, ultimately resulting in fibrocartilage dysfunction and TMJOA ...
Xin Liu   +12 more
wiley   +1 more source

Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications

open access: yesAdvanced Science, EarlyView.
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen   +11 more
wiley   +1 more source

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