Results 71 to 80 of about 2,343 (229)

New Integral Inequalities via Harmonically Convex Functions [PDF]

Mathematics and Statistics, 2015
In this paper, we establish some estimates, involving the Euler Beta function and the Hypergeometric function of the integral for the class of functions whose certain powers of the absolute value are harmonically convex.
Imdat Iscan, Mustafa Aydin, Sema Dikmenoglu   +2 more
openaire   +1 more source

Semiconducting THO‐C3N Monolayers for Ultrahigh Anisotropic Carrier Mobility

Advanced Science, EarlyView.
A precise site‐specific N‐doping strategy that drives a secondary electronic transition in net W is proposed, enabling the electronic properties transition from metal to Dirac semimetal and ultimately to semiconductor. The obtained THO‐C3N‐2 and THO‐C3N‐3 semiconductors exhibit high carrier mobilities and pronounced mobility anisotropy, with THO‐C3N‐2 ...
Rui Tan, Xueqing Chen, Jifeng Luo, Zhe Xue, Zehou Li, Xiaolin Wei, Zhenkun Tang, Gaokuo Zhong   +7 more
wiley   +1 more source

Heat flow in chains driven by thermal noise

, 2012
We consider the large deviation function for a classical harmonic chain composed of N particles driven at the end points by heat reservoirs, first derived in the quantum regime by Saito and Dhar and in the classical regime by Saito and Dhar and Kundu et ...
Alberto Imparato, den Hollander F, Derrida B, Fogedby H C, Fogedby H C, Gradshteyn I S, Hans C Fogedby, Imparato A, Imparato A, Imparato A, Imparato A, Kundu A, Kurchan J, Reichl L E, Sabhapandit S, Seifert U, Visco P, Zinn-Justin J   +17 more
core   +1 more source

Single‐Cell Morphomechanics of Prostate Cancer‐Associated Fibroblasts Identifies Distinct Features Associated with Patient Outcome

Advanced Science, EarlyView.
Cancer‐associated fibroblasts (CAFs) in prostate tumors exhibit distinct morphomechanical traits vs normal fibroblasts, including greater stiffness and volume, more elongated stress fibres, and larger and more elongated nuclei. These features, quantified through imaging and real‐time deformability cytometry, correlate with patient outcomes and can be ...
Antje Garside, Angela Jacobi, Shivakumar Keerthikumar, Vaibhav Mahajan, Michelle Richards, Birunthi Niranjan, Linda Teng, Nicholas Choo, Johannes Low Jun Wei, Gail P Risbridger, Mitchell G Lawrence, Anna V. Taubenberger   +11 more
wiley   +1 more source

Capacity, quasi-local mass, and singular fill-ins

, 2019
We derive new inequalities between the boundary capacity of an asymptotically flat 3-manifold with nonnegative scalar curvature and boundary quantities that relate to quasi-local mass; one relates to Brown--York mass and the other is new.
Mantoulidis, Christos, Miao, Pengzi, Tam, Luen-Fai   +2 more
core   +1 more source

Quasiconformal harmonic functions between convex domains [PDF]

Publications de l'Institut Mathematique, 2004
Summary: We generalize \textit{O. Martio}'s paper [Ann. Acad. Sci. Fenn., Ser. A I 425, 10 p. (1968; Zbl 0162.37902)]. Indeed the problem studied in this paper is under which conditions on a homeomorphism \(f\) between the unit circle \(S^1:=\{z: |z|=1\}\) and a fixed convex Jordan curve \(\gamma\) the harmonic extension of \(f\) is a quasiconformal ...
openaire   +2 more sources

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

Advanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Vincenzo Galdi   +4 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Entanglement detection in hybrid optomechanical systems

, 2011
We study a device formed by a Bose Einstein condensate (BEC) coupled to the field of a cavity with a moving end-mirror and find a working point such that the mirror-light entanglement is reproduced by the BEC-light quantum correlations.
D. F. Walls, G. Massimo Palma, Gabriele De Chiara, L. Pitaevskii, Mauro Paternostro   +4 more
core   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source