Results 51 to 60 of about 18,915 (259)
Auto‐Routing Fluidic Printed Circuit Boards
Advanced Robotics Research, EarlyView.This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre +3 more
wiley +1 more source
An Approach to Neutrosophic Hyper Soft Rough Matrix and its Application [PDF]
Neutrosophic Sets and SystemsThis paper introduces a novel of Neutrosophic Hyper Soft Rough Matrix (NHSRM). We discuss various operators on NHSRM such as addition, multiplication, scalar multiplication and complement.
J. Boobalan, E. Mathivadhana
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The matrix arithmetic–geometric mean inequality revisited
Linear Algebra and its Applications, 2008 The authors survey the developments of a matrix version of the arithmetic-geometric mean inequality, and discuss other closely related matters. The article can also serve as introduction to the basic ideas and typical problems of the flourishing subject of matrix inequalities.
Bhatia, Rajendra, Kittaneh, Fuad
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Advanced Science, EarlyView.Stem cell differentiation follows a conserved surface condensate trajectory: H3K27ac super enhancers nucleate large RNA polymerase II clusters that grow and unfold before transcriptional activity disperses them. This work reveals how biophysical forces at enhancer surfaces dynamically build and dismantle stem cell transcription hubs, reshaping cell ...
Tim Klingberg +18 more
wiley +1 more source
A Geometric Mean of Parameterized Arithmetic and Harmonic Means of Convex Functions
Abstract and Applied Analysis, 2012 The notion of the geometric mean of two positive reals is extended by Ando (1978) to the case of positive semidefinite matrices A and B. Moreover, an interesting generalization of the geometric mean A # B of A and B to convex functions was introduced by ...
Sangho Kum, Yongdo Lim
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Advanced Science, EarlyView.STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li +9 more
wiley +1 more source
Notes on matrix arithmetic–geometric mean inequalities
Linear Algebra and its Applications, 2000 The authors prove that a unitarily invariant norm of 4AB does not exceed that of \((A+B)^2\), for positive semi-definite matrices \(A\), \(B\). Connections with some other matrix arithmetic-geometric mean inequalities and trace inequalities are discussed.
Bhatia, Rajendra, Kittaneh, Fuad
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Advanced Science, EarlyView.An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang +10 more
wiley +1 more source
Some Equivalent Forms of the Arithematic-Geometric Mean Inequality in Probability: A Survey
Journal of Inequalities and Applications, 2008 We link some equivalent forms of the arithmetic-geometric mean inequality in probability and mathematical statistics.
Wenyaw Chan, Hung-Wen Yeh, Cheh-Chih Yeh
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A refinement of various mean inequalities
Journal of Inequalities and Applications, 1998 A new refinement of the classical arithmetic mean and geometric mean inequality is given. Moreover, a new interpretation of the classical mean is given and this refinement theorem is generalized.
Takahasi Sin-Ei +2 more
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