Results 151 to 160 of about 150,474 (283)

Deformation Driven Suction Cups: A Mechanics‐Based Approach to Wearable Electronics

Advanced Science, EarlyView.
Deformation‐driven suction cups enable robust, reversible adhesion of wearable electronics to human skin spanning wide mechanical compliance, without adhesives or tight straps. By integrating mechanics modeling, experiments, and contact mechanics theory, this work reveals how cup geometry, substrate compliance, and interfacial adhesion govern suction ...
Seola Lee, Andrew Akerson, Roham Pardakhtim, Ehsan Hajiesmaili, Kevin Rhodes, Zidong Li, Andrew Stanley, Amirhossein Amini, Daniele Piazza, Chiara Daraio, Tianshu Liu   +10 more
wiley   +1 more source

Exact Response Theory for Delay Equations. [PDF]

Entropy (Basel)
Gollinucci F, Ortu E, Rondoni L.
europepmc   +1 more source

Enhancement of Calcium Ion Permeation via Resonant Coupling of Ion and Terahertz Waves in Voltage Gated Calcium Channels

Advanced Science, EarlyView.
We introduce a novel, ion‐targeted strategy to enhance calcium permeation in voltage gated calcium channels. By directly driving the ions’ coherent collective motion via resonant coupling with a 1.65 THz field, we lower the inter‐site energy barrier, inducing a statistically significant enhancement of ion influx.
Zihao Zhang, Yuankun Sun, Xinqiao Zhou, Sunchao Huang, Shengpeng Yang, Shaomeng Wang, Yubin Gong   +6 more
wiley   +1 more source

Dynamics of kink solitons under additive white noise in the power-law nonlinear Schrödinger equation. [PDF]

Sci Rep
Alsatami KA.
europepmc   +1 more source

Mechanical Strain‐Programmed SDC1+ Sheath Fibroblasts Trigger CXCR4hi Neutrophil‐Mediated Enthesitis in Ankylosing Spondylitis

Advanced Science, EarlyView.
In ankylosing spondylitis (AS), mechanical strain‐programmed SDC1+ sheath fibroblasts secrete CXCL5 to recruit neutrophils and promote the activation of CXCR4hi neutrophils, thereby exacerbating enthesitis by promoting neutrophil extracellular traps (NETs) formation. SOX5 controls the generation of SDC1+ sheath fibroblasts via super‐enhancers.
Jiajie Lin, Zepeng Su, Yipeng Zeng, Yi Zhou, Chenying Zeng, Weihao Zhang, Qibo Li, Zipeng Xiao, Zibin Chen, Ziqian Liu, Yangfeng Lin, Guan Zheng, Wenhui Yu, Zhongyu Xie   +13 more
wiley   +1 more source

Entropy Production and Irreversibility in the Linearized Stochastic Amari Neural Model. [PDF]

Entropy (Basel)
Lucente D, Gradenigo G, Salasnich L.
europepmc   +1 more source

An Implantable Scaffold Sequentially Releasing STING Agonist and B7‐H3 Antibody for Bone Metastasis Immunotherapy

Advanced Science, EarlyView.
We developed an implantable dual‐drug depot using GelMA for bone metastasis treatment, co‐delivering MSA‐2 and αB7‐H3‐loaded CaCO3 microparticles. Sustained release from GelMA scaffold enables MSA‐2 to activate STING signaling and enhance T‐cell infiltration and activation, while sequentially released αB7‐H3 blocks MSA‐2‐induced B7‐H3 upregulation ...
Qijun Lin, Hong Xiao, Shuai Fan, Kaimin Cai, Yanteng Xu, Xinwen Wang, Guanhong Chen, Chuandong Lang, Xinsheng Peng, Mingqiang Li, Yuhu Dai   +10 more
wiley   +1 more source

Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics

Advanced Science, EarlyView.
Magnetic Probabilistic Computing (MPC) utilizes intrinsic stochastic dynamics in domain walls to establish a hardware foundation for uncertainty‐aware artificial intelligence. Thermally driven domain‐wall fluctuations, voltage‐controlled magnetic anisotropy, and TMR readout enable fully electrical, tunable probabilistic inference.
Tianyi Wang, Bingqian Dai, Shijie Xu, Kin Wong, Yaochen Li, Yang Cheng, Qingyuan Shu, Haoran He, Puyang Huang, Hanshen Huang, Xixiang Zhang, Kang L. Wang   +11 more
wiley   +1 more source

Simulation and optimal control of stochastic delay differential models for hepatitis C virus epidemics. [PDF]

Sci Rep
Kumar N, Sajid M, Chauhan TS, Chauhan IS.   +3 more
europepmc   +1 more source

Newton's method for stochastic functional differential equations

Electronic Journal of Differential Equations, 2012
Summary: We apply Newton's method to stochastic functional differential equations. The first part concerns a first-order convergence. We formulate a Gronwall-type inequality which plays an important role in the proof of the convergence theorem for the Newton method. In the second part, probabilistic second-order convergence is studied.
openaire   +2 more sources