Results 121 to 130 of about 12,615 (262)

Autonomous Navigation of Pollen‐Inspired Magnetic Microrobots for Biomedical Applications

Advanced Robotics Research, EarlyView.
A sunflower pollen‐inspired magnetic microrobot enables controlled rolling navigation in vessel‐like environments. Its open geometry reduces hydrodynamic drag, while vision‐based closed‐loop control, shortest‐path planning, and reinforcement learning support target‐reaching and maze navigation with microrobot‐scale accuracy, highlighting a route toward
Ali Anil Demircali, Abdurrahim Yilmaz, Meysam Keshavarz, Jinshi Zhao, Ara Darzi, Eric Yeatman, Burak Temelkuran   +6 more
wiley   +1 more source

Stiffness‐Programmable Origami Robots With Tendon‐Driven Actuation via Multimaterial 3D Printing

Advanced Robotics Research, EarlyView.
Motion diversity is achieved in a tendon‐driven origami robot through programmable stiffness rather than modified actuation. Multimaterial 3D printing embeds soft creases, modular inserts redirect identical tendon inputs into distinct behaviors, and variable‐stiffness inserts enable real‐time switching.
Elisha Lerner, Jianguo Zhao
wiley   +1 more source

Consensus Formation and Change are Enhanced by Neutrality

Advanced Science, EarlyView.
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, Janina A. Hoffmann, Tim Rogers, Christian A. Yates   +3 more
wiley   +1 more source

Exploring epidemic control policies using nonlinear programming and mathematical models. [PDF]

PLoS Comput Biol
Montes-Olivas S, Kucharski AJ, Gravenor MB, Frost SDW.   +3 more
europepmc   +1 more source

Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement

Advanced Science, EarlyView.
The temperature‐induced Arrhenius activation energy switching phenomenon of electrical conduction in electrically conductive cement originates from structural degradation within the biphasic ionic‐electronic conduction architecture and shows percolation‐governed characteristics: pore network opening dominates the low‐percolation regime with downward ...
Jiacheng Zhang, Xinyuan Ke, Andrew Heath, Richard J. Ball, Jiawei Xie, Jinchen Fan, Guisheng Li, Kevin Paine   +7 more
wiley   +1 more source

Moving from table to graph in physics-informed spatio-temporal symbolic regression. [PDF]

Sci Rep
Lazebnik T, Liberzon A.
europepmc   +1 more source

Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution

Advanced Science, EarlyView.
Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley   +1 more source

Research on agricultural development issues based on comprehensive optimization strategy. [PDF]

Sci Rep
Dayou H, Jieyun LI, Ya W, Susu G, Xinran W, Xianchao W.   +5 more
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Predicting methane adsorption in coal and shale with white-box and black-box machine learning models. [PDF]

Sci Rep
Sheikhshoaei AH, Hadavimoghaddam F, Abuswer MA, Mohaddespour A, Hemmati-Sarapardeh A, Atashrouz S.   +5 more
europepmc   +1 more source