Results 111 to 120 of about 101,809 (286)
Bioinspired Soft‐Skeleton Robotics With Cooperative Shape Transformation and Stiffness Adaptation
A bioinspired soft‐skeleton robot that integrates variable‐stiffness chain skeletons into a soft textile skin is developed. The chain skeletons are highly flexible initially but can stiffen upon pneumatic actuation, enabling large deformation and enhanced load‐bearing capacity.
Mengyuan Niu +5 more
wiley +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
Various firing activities and finite-time synchronization of an improved Hindmarsh-Rose neuron model under electric field effect. [PDF]
Wouapi KM +5 more
europepmc +1 more source
A Nanoparticle‐Integrated Complete Manufacturing Pipeline of Chemically Engineered Exosomes
We report a novel manufacture technology of chemically engineered exosomes. The four steps of manufacturing, i.e., biogenesis, loading, isolation, and storage, are integrated by the use of a nanoparticle. The manufacture technology incorporates three innovative components, i.e., a new nano‐bio effect, a new composite nanoparticle, and a new isolation ...
Xiaowei Wen +13 more
wiley +1 more source
Climate change reshapes the spatial alignment between crop production and environmental resources. Using multi‐source data and a crop model, integrated climatic, water, and soil endowments for maize and wheat are quantified and compared with harvest distributions.
Zheng'e Su +13 more
wiley +1 more source
Finite-Time Synchronization of Uncertain Complex Dynamic Networks with Nonlinear Coupling
The finite-time synchronization control is studied in this paper for a class of nonlinear uncertain complex dynamic networks. The uncertainties in the network are unknown but bounded and satisfy some matching conditions. The coupling relationship between
Yiping Luo, Yuejie Yao
doaj +1 more source
Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio +3 more
wiley +1 more source
Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma +5 more
wiley +1 more source
Enhanced quantum synchronization of a driven qubit under structured reservoir
Synchronizing a few-level quantum system is of fundamental importance to the understanding of synchronization in the deep quantum regime. We investigate quantum phase synchronization of a two-level system (qubit) driven by a semiclassical laser field, in
Po-Wen Chen +2 more
doaj +1 more source
Photonic time crystals (PTCs) are systems in which electromagnetic parameters are modulated periodically in time, producing momentum bandgaps via temporal scattering rather than spatial Bragg processes. This review examines the theoretical frameworks, modeling, and computational tools for time‐varying media, and summarizes experimental demonstrations ...
Ranjan Kumar Patel +3 more
wiley +1 more source

