Results 221 to 230 of about 107,644 (266)
A 3D‐printed piezoionic GPMx hydrogel enables stable electromechanical signal generation under mechanical loading, exhibiting long‐term durability and low fatigue. As a bioactive patch, it restores endogenous bioelectricity to stimulate osteogenesis via Ca2+ influx and mitochondrial activation, while simultaneously enabling label‐free alkaline ...
Sayan Deb Dutta +3 more
wiley +1 more source
Microgel‐based 3D printed constructs represent a compelling and versatile innovation for engineering architecturally complex, dynamically remodelable, and biocompatible structures with high structural fidelity and bioactivity. By integrating material design, biofabrication, and biological function, these systems enable the development of adaptive ...
Elena Ghighină +2 more
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Surface‐host dialogue at the implant interface governs biological fate and osseointegration. Surface physicochemical properties of titanium (Ti) dental implants, including microgrooves, nanopatterns, nanotopography, roughness, and wettability, modulate the initial adsorption of proteins and the formation of a dynamic biointerface.
Daniela Moreira Cunha +9 more
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Natural Biomaterials for Osteochondral Repair: From Source to Strategy
Biological origin‐guided overview of natural biomaterials and therapeutic strategies for osteochondral tissue engineering. The circular diagram categorizes representative materials and strategies into plant/algae‐derived, microbial‐derived, animal‐derived, and human‐derived sources, centered on an osteochondral defect repair model.
Hengyu Liu +5 more
wiley +1 more source
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SIAM Journal on Control and Optimization, 2009
We give a necessary and sufficient condition for the existence of a matrix $F$ such that the singular values of $A+BF$ are the prescribed values. We also give a simple algorithm to compute $F$ if the prescribed values satisfy the condition.
Clyde F. Martin, Xiaochang A. Wang
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We give a necessary and sufficient condition for the existence of a matrix $F$ such that the singular values of $A+BF$ are the prescribed values. We also give a simple algorithm to compute $F$ if the prescribed values satisfy the condition.
Clyde F. Martin, Xiaochang A. Wang
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Downdating the Singular Value Decomposition
SIAM Journal on Matrix Analysis and Applications, 1995Let \(A\) be a matrix with known singular values and left and/or right singular vectors, and let \(A'\) be the matrix obtained by deleting a row from \(A\). Computing the singular value decomposition (SVD) of \(A'\) from the SVD of \(A\) is called the downdating singular value decomposition problem (DSVDP).
Ming Gu 0002, Stanley C. Eisenstat
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Continuation of Singular Value Decompositions
Mediterranean Journal of Mathematics, 2005In this work we consider computing a smooth path for a (block) singular value decomposition of a full rank matrix valued function. We give new theoretical results and then introduce and implement several algorithms to compute a smooth path. We illustrate performance of the algorithms with a few numerical examples.
L. DIECI L +2 more
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Computing the Structured Singular Value
SIAM Journal on Matrix Analysis and Applications, 1992Discussing some problems of multivariable control theory, the author begins to examine some algorithms to compute the structured singular value due to \textit{J. C. Doyle} [Analysis of feedback systems with structured uncertainties. Proc. IEE-D 129, No. 6, 246-250 (1982; MR 84a:93035)]; this notion, in particular, includes the largest singular value of
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Singular value features of images
SPIE Proceedings, 2000This paper presents the preliminary results of our investigation on using singular value decomposition transform to extract effective image features. It proposes using the singular values of subimages to discriminate different classes of imagery.
Jingxin Zhang 0001 +4 more
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Minimization of a particular singular value
2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2016We consider the problem of minimizing a particular singular value of a matrix variable, which is then subject to some convex constraints. Convex heuristics for this problem are discussed, including some counter-intuitive results regarding which is best, which then provide upper bounds on the value of the problem.
Alborz Alavian, Michael Rotkowitz
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