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Your search keyword '"Wang, Tianlu"' showing total 13 results
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13 results on '"Wang, Tianlu"'

2. Cholesteric liquid crystal polymeric coatings for colorful artificial muscles and motile humidity sensor skin integrated with magnetic composites

Author

Sitti, Metin (ORCID 0000-0001-8249-3854 & YÖK ID 297104), Feng, Wei; Pal, Aniket; Wang, Tianlu; Ren, Ziyu; Yan, Yingbo; Lu, Yanqing; Yang, Huai, College of Engineering; School of Medicine, Department of Mechanical Engineering, Sitti, Metin (ORCID 0000-0001-8249-3854 & YÖK ID 297104), Feng, Wei; Pal, Aniket; Wang, Tianlu; Ren, Ziyu; Yan, Yingbo; Lu, Yanqing; Yang, Huai, College of Engineering; School of Medicine, and Department of Mechanical Engineering

Abstract

Structural colorful cholesterics show impressive susceptibility to external stimulation, leading to applications in electro/mechano-chromic devices. However, out-of-plane actuation of structural colorful actuators based on cholesterics and the integration with other stimulation remains underdeveloped. Herein, colorful actuators and motile humidity sensors are developed using humidity-responsive cholesteric liquid crystal networks (CLCNs) and magnetic composites. The developed colorful actuator can exhibit synergistic out-of-plane shape morphing and color change in response to humidity, with CLCNs as colorful artificial muscles. Through the integration with magnetic control, the motile sensor can be navigated to open and confined spaces with the aid of friction to detect local relative humidity. The integration of multi-stimulation actuation of cholesteric magnetic actuators will expand the research frontier of structural colorful actuators and motile sensors for confined spaces., European Union (EU); Horizon 2020; European Research Council (ERC); Advanced Grant; SoMMoR Project; Alexander von Humboldt Postdoctoral Fellowships; Max Planck Society; Projekt DEAL

Published
2023

7. Identification of a STIM1 Splicing Variant that Promotes Glioblastoma Growth (Adv. Sci. 11/2022)

Author

Xie, Jiansheng, primary, Ma, Guolin, additional, Zhou, Lijuan, additional, He, Lian, additional, Zhang, Zhao, additional, Tan, Peng, additional, Huang, Zixian, additional, Fang, Shaohai, additional, Wang, Tianlu, additional, Lee, Yi‐Tsang, additional, Wen, Shufan, additional, Siwko, Stefan, additional, Wang, Liuqing, additional, Liu, Jindou, additional, Du, Yangchun, additional, Zhang, Ningxia, additional, Liu, Xiaoxuan, additional, Han, Leng, additional, Huang, Yun, additional, Wang, Rui, additional, Wang, Youjun, additional, Zhou, Yubin, additional, and Han, Weidong, additional

Published
2022
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13. Direct modulation index: A measure of phase amplitude coupling for neurophysiology data.

Author

Scherer M, Wang T, Guggenberger R, Milosevic L, and Gharabaghi A

Subjects
Humans, Models, Neurological, Neurophysiology, Brain diagnostic imaging, Brain physiology
Abstract

Neural communication across different spatial and temporal scales is a topic of great interest in clinical and basic science. Phase-amplitude coupling (PAC) has attracted particular interest due to its functional role in a wide range of cognitive and motor functions. Here, we introduce a novel measure termed the direct modulation index (dMI). Based on the classical modulation index, dMI provides an estimate of PAC that is (1) bound to an absolute interval between 0 and +1, (2) resistant against noise, and (3) reliable even for small amounts of data. To highlight the properties of this newly-proposed measure, we evaluated dMI by comparing it to the classical modulation index, mean vector length, and phase-locking value using simulated data. We ascertained that dMI provides a more accurate estimate of PAC than the existing methods and that is resilient to varying noise levels and signal lengths. As such, dMI permits a reliable investigation of PAC, which may reveal insights crucial to our understanding of functional brain architecture in key contexts such as behaviour and cognition. A Python toolbox that implements dMI and other measures of PAC is freely available at https://github.com/neurophysiological-analysis/FiNN., (© 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.)

Published
2023
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