Results 81 to 90 of about 53,622 (251)

A Correlative SICM‐OPM Platform for Surface and Volumetric Imaging in Live Cells

Advanced Science, EarlyView.
A multifunctional correlative imaging platform integrating Scanning Ion Conductance Microscopy (SICM) with Oblique Plane Microscopy (OPM) enables simultaneous surface topography, mechanical mapping, and 3D volumetric fluorescence imaging in live cells.
Wenzhi Hong, Ziwei Zhang, Ao Li, Ting Sun, Yunzhao Wu, Devkee M. Vadukul, Dylan Jones, Bing Li, Fengjie Liu, Francesco A. Aprile, Yuri Korchev, Julia Gorelik, David Klenerman, Andrew Shevchuk   +13 more
wiley   +1 more source

An Input-to-State Stability-Based Load Restoration Approach for Isolated Power Systems

Energies, 2018
An isolated power system (IPS) is usually operated under a bad environment and is influenced by external disturbances. Advanced load restoration technology is an important way to enhance the survivability and reliability of IPS.
Boyu Qin, Haixiang Gao, Jin Ma, Wei Li, Albert Y. Zomaya   +4 more
doaj   +1 more source

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

Advanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin, Zijie Chen, Yurong Li, Meijing Fang, Longji Shen, Yilong Su, Odin Zhang, Qinghan Wang, Qun Su, Jike Wang, Tingjun Hou, Yu Kang   +11 more
wiley   +1 more source

Strong iISS: combination of iISS and ISS with respect to small inputs

, 2012
International audienceThis paper studies the notion of Strong iISS, which imposes both integral input-to-state stability (iISS) and input-to-state stability (ISS) with respect to small inputs.
Angeli, David, Chaillet, Antoine, Ito, Hiroshi   +2 more
core   +2 more sources

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

Improved input‐to‐state stability criteria for time‐varying switched singular systems

IET Control Theory & Applications
This paper is dedicated to proposing improved input‐to‐state stability (ISS) criteria for a class of continuous‐time time‐varying switched singular systems (CTSSS) under slow/fast/slow‐fast switching signals.
Junjie Lu, Yongqi Li, Shijie Wang, Zhikun She   +3 more
doaj   +1 more source

Electrohydraulic Folding Ring Actuators for Radial Contraction

Advanced Science, EarlyView.
This work presents an Electrohydraulic Folding Ring Actuator that combines high‐performance electrohydraulic actuation with origami‐inspired folding geometry to achieve constricting radial actuation. This integration yields significant inner lumen constriction, alongside a gripping force capable of holding objects exceeding four times the actuator's ...
Gavril Yong En Tan, Quan Xiong, Jonathan William Ambrose, Zeynep Altundal, Raye Chen‐Hua Yeow   +4 more
wiley   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Robust Adaptive Switching Control for Markovian Jump Nonlinear Systems via Backstepping Technique

Journal of Applied Mathematics, 2012
This paper investigates robust adaptive switching controller design for Markovian jump nonlinear systems with unmodeled dynamics and Wiener noise. The concerned system is of strict-feedback form, and the statistics information of noise is unknown due to ...
Jin Zhu, Hongsheng Xi, Qiang Ling, Wanqing Xie   +3 more
doaj   +1 more source

Exceptional Antimodes in Multi‐Drive Cavity Magnonics

Advanced Electronic Materials, EarlyView.
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith, Ryan D. McKenzie, Alban Joseph, Robert L. Stamps, Rair Macêdo   +4 more
wiley   +1 more source