Results 101 to 110 of about 549,018 (333)

Bottom‐Up Programming of Cell States in Cancer Organoids with Defined Synthetic Adhesion Cues

Advanced Materials, EarlyView.
A bottom‐up biomaterial platform is developed to program transcriptomic states in pancreatic cancer organoids by tuning adhesion cues within synthetic matrices. By combining a Design of Experiments framework with multiobjective optimization, matrix compositions are identified that enrich specific cellular programs like EMT.
Ali Nadernezhad, Verena J. Kast, Dagmar Pette, Franziska Baenke, Daniel E. Stange, Carsten Werner, Daniela Loessner   +6 more
wiley   +1 more source

Novel Approach to Real Polynomial Root-finding and Matrix Eigen-solving [PDF]

, 2014
Univariate polynomial root-finding is both classical and important for modern computing. Frequently one seeks just the real roots of a polynomial with real coefficients.
Pan, Victor Y.
core  

On Matrix Multiplication and Polynomial Identity Testing [PDF]

, 2022
Robert Andrews
openalex   +1 more source

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source

Bivariate Polynomial Matrix and Smith Form

Mathematics
Matrix equivalence plays a pivotal role in multidimensional systems, which are typically represented by multivariate polynomial matrices. The Smith form of matrices is one of the important research topics in polynomial matrices.
Licui Zheng, Tao Wu, Jinwang Liu
doaj   +1 more source

Humid‐Air Condensation Heat Transfer on Hierarchical Structured Superhydrophobic Graphite Composites

Advanced Materials Interfaces, EarlyView.
Humid‐air condensation on graphite composites shows that making a surface superhydrophobic is not sufficient to enhance heat transfer. A hierarchical CuO/lauric‐acid coating yields spherical droplets but promotes Wenzel‐type pinning and adds effective thermal resistance under operation.
Raphael Raab, Tobias Melchior, Hannah Mennecke, Daniel Fotachov, Egbert Oesterschulze, Thomas Reviol, Erik von Harbou, Hans‐Jörg Bart   +7 more
wiley   +1 more source

New Operational Matrix via Genocchi Polynomials for Solving Fredholm-Volterra Fractional Integro-Differential Equations

Advances in Mathematical Physics, 2017
It is known that Genocchi polynomials have some advantages over classical orthogonal polynomials in approximating function, such as lesser terms and smaller coefficients of individual terms.
Jian Rong Loh, Chang Phang, Abdulnasir Isah   +2 more
doaj   +1 more source

Additive Manufacture of Diamond:Titanium Hybrid Quantum Sensors

Advanced Materials Interfaces, EarlyView.
ABSTRACT Additive manufacture represents one of the most advanced techniques for the creation of complex parts for applications as diverse as aerospace and implant surgery. However, a challenge with bespoke manufacture of metal parts is the incorporation of sensor elements in a fashion compatible with the 3D printing process.
Daniel Stavrevski, Marsilea A. Booth, David A. Broadway, Islay O. Robertson, Nour Mani, Joshua Zarins, Peter C. Sherrell, Amanda N. Abraham, Qiang Sun, Takeshi Ohshima, Brant C. Gibson, Kate Fox, Andrew D. Greentree   +12 more
wiley   +1 more source

Relative asymptotics for orthogonal matrix polynomials [PDF]

, 2010
In this paper we study sequences of matrix polynomials that satisfy a non-symmetric recurrence relation. To study this kind of sequences we use a vector interpretation of the matrix orthogonality.
Branquinho, A., Marcellán, F., Mendes, A.   +2 more
core   +1 more source

Strongly Damped Quadratic Matrix Polynomials [PDF]

SIAM Journal on Matrix Analysis and Applications, 2015
Summary: We study the eigenvalues and eigenspaces of the quadratic matrix polynomial \(M\lambda^2+sD\lambda+K\) as \(s\to\infty\), where \(M\) and \(K\) are symmetric positive definite and \(D\) is symmetric positive semidefinite. This work is motivated by its application to modal analysis of finite element models with strong linear damping.
openaire   +2 more sources