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In GO/MoSe2 semiconductor heterostructure, we have demonstrated a subtle control on the doping dynamics by modulating interlayer coupling through the combination of strain-reducing relative rotation of the constituting layers and variation…

The neural networks of the human brain act as very efficient parallel processing computers co-ordinating memory related responses to a multitude of input signals from sensory organs. Information storage, update and appropriate retrieval are…

chao-dyn · Physics 2015-06-24 A. M. Selvam

Active nematic systems consist of rod-like internally driven subunits that interact with one another to form large-scale coherent flows. They are important examples of far-from-equilibrium fluids, which exhibit a wealth of nonlinear…

Soft Condensed Matter · Physics 2025-06-27 Kevin A. Mitchell , Md Mainul Hasan Sabbir , Sean Ricarte , Brandon Klein , Daniel A. Beller

Topological defects in nematically aligned cell populations play a critical role in modulating collective motion, from microbial colonies to epithelial tissues. Despite the potential of manipulating such topological defects to control…

Soft Condensed Matter · Physics 2023-07-25 Ryo Ienaga , Kazusa Beppu , Yusuke T. Maeda

The heterointerfaces at complex oxides have emerged as a promising platform for discovering novel physical phenomena and advancing integrated sensing, storage, and computing technologies. Nevertheless, achieving precise control over a…

Materials Science · Physics 2025-09-01 Jiaxin Lv , Silan Li , Chenhao Duan , Shuanhu Wang , Hong Yan , Kexin Jin

Limbless locomotors, from microscopic worms to macroscopic snakes, traverse complex, heterogeneous natural environments typically using undulatory body wave propagation. Theoretical and robophysical models typically emphasize body…

Neuromodulatory receptors in presynaptic position have the ability to suppress synaptic transmission for seconds to minutes when fully engaged. This effectively alters the synaptic strength of a connection. Much work on neuromodulation has…

Neural and Evolutionary Computing · Computer Science 2014-05-13 Gabriele Scheler , Johann Schumann

Within living cells, the transport of cargo is accomplished by groups of molecular motors. Such collective transport could utilize mechanisms which emerge from inter-motor interactions in ways that are yet to be fully understood. Here we…

Biomolecules · Quantitative Biology 2016-10-04 David Ando , Michelle K. Mattson , Jing Xu , Ajay Gopinathan

Neural networks modularity is a major challenge for the development of control circuits of neural activity. Under physiological limitations, the accessible regions for external stimulation are possibly different from the functionally…

Neurons and Cognition · Quantitative Biology 2018-02-23 Hanna Keren , Johannes Partzsch , Shimon Marom , Christian Mayr

Quantum transport phenomena in two-dimensional electron gases (2DEGs) at oxide interfaces have garnered significant interest owing to their potential in spintronic and quantum information technologies. Here, we systematically investigate…

Strongly Correlated Electrons · Physics 2025-11-14 Hui Zhang , Daming Tian , Xiaobing Chen , Lu Chen , Min Li , Yetong Bai , Fengxia Hu , Baogen Shen , Jirong Sun , Weisheng Zhao

Kainate induces a marked expression of cyclooxygenase-2 after its systemic administration. Because cyclooxygenase-2 activity is associated to the production of reactive oxygen species, we investigated the effects of nimesulide, a selective…

Tissues and Organs · Quantitative Biology 2007-08-16 E. Candelario-Jalil , H. H. Ajamieh , S. Sam , G. Martinez , O. S. Leon

We use a computational model to propose a physiological mechanism by which transient control of beta oscillations in the indirect pathway of the basal ganglia is orchestrated at the cellular level. Our model includes a simple and robust…

Neurons and Cognition · Quantitative Biology 2013-11-12 Julie Dethier , Guillaume Drion , Alessio Franci , Rodolphe Sepulchre

Owing to the unusual geometry of kagome lattices-lattices made of corner-sharing triangles-their electrons are useful for studying the physics of frustrated, correlated and topological quantum electronic states. In the presence of strong…

We study geometrically-controlled twist transitions of a nematic confined between a sinusoidal grating and a flat substrate. In these cells the transition to the twisted state is driven by surface effects. We have identified the mechanisms…

Soft Condensed Matter · Physics 2009-11-07 P. Patricio , M. M. Telo da Gama , S. Dietrich

Optical methods for magnetism manipulation have been considered as a promising strategy for ultralow-power and ultrahigh-speed spin switches, which becomes a hot spot in the field of spintronics. However, a widely applicable and efficient…

Raman scattering experiments on LaFeAsO with splitted antiferromagnetic (T_AFM = 140 K) and tetragonal-orthorhombic (T_S = 155 K) transitions show a quasi-elastic peak (QEP) in B2g symmetry (2 Fe tetragonal cell) that fades away below…

Strongly Correlated Electrons · Physics 2017-07-14 U. F. Kaneko , P. F. Gomes , A. F. Garcia-Flores , J. Q. Yan , T. A. Lograsso , G. E. Barberis , D. Vaknin , E. Granado

This paper introduces a continuous model for Multi-cellular Developmental Design. The cells are fixed on a 2D grid and exchange "chemicals" with their neighbors during the growth process. The quantity of chemicals that a cell produces, as…

Artificial Intelligence · Computer Science 2007-05-23 Alexandre Devert , Nicolas Bredèche , Marc Schoenauer

Adenosine receptors are G-protein-coupled receptors involved in a wide range of physiological and pathological phenomena in most mammalian systems. All four receptors are widely expressed in the central nervous system, where they modulate…

Quantitative Methods · Quantitative Biology 2020-02-10 Vincent Huin , Claire-Marie Dhaenens , Mégane Homa , Kévin Carvalho , Luc Buée , Bernard Sablonnière

Gene regulatory relationships can be abstracted as a gene regulatory network (GRN), which plays a key role in characterizing complex cellular processes and pathways. Recently, graph neural networks (GNNs), as a class of deep learning…

Molecular Networks · Quantitative Biology 2023-11-07 Hui Zhang , Xuexin An , Qiang He , Yudong Yao , Yudong Zhang , Feng-Lei Fan , Yueyang Teng

We characterise the particlelike kinematics of charge-carrying topological defects in nematic media via a geometric field theory. This differs from the theory of electromagnetism, with which it is often compared, due to the absence of…

Soft Condensed Matter · Physics 2026-05-22 Joseph Pollard , Richard G. Morris
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