Results 181 to 190 of about 944,336 (291)

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Highly Resolved Community Sewage Metagenomics Unveiling Landscape and Transmission Patterns of Antibiotic Resistome in Hong Kong Populations

Advanced Science, EarlyView.
A large‐scale, high‐resolution antimicrobial resistance (AMR) surveillance in Hong Kong community sewage combining short‐ and long‐read sequencing. The resistome profile is comprehensively characterized, and this upstream sampling strategy demonstrated superiority in reflecting the human gut resistome.
Jiahui Ding, Mengying Wang, Xiaoqing Xu, Dou Wang, Xi Chen, Shuxian Li, Xiawan Zheng, You Che, Yu Deng, Tommy T. Y. Lam, Liguan Li, Tong Zhang   +11 more
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

Hierarchical Summary Statistics Encoding Across Primary Visual and Posterior Parietal Cortices

Advanced Science, EarlyView.
This study shows that mouse V1 simultaneously encodes the ensemble mean and variance of motion, providing a robust summary‐statistic representation that persists despite single‐neuron variability. These signals propagate to PPC, where they are transformed into abstract category representations during decision making.
Young‐Beom Lee, Oliver James, Gaeun Jung, Doyun Lee, Yee‐Joon Kim   +4 more
wiley   +1 more source

A bio-inspired minimal model for non-stationary K-armed bandits. [PDF]

Biol Cybern
Danieli K, Lepperød ME.
europepmc   +1 more source

Metabolic Regulation of Dimethylsulfoniopropionate Cleavage and Dimethyl Sulfide Production in Halomonas sp. D47

Advanced Science, EarlyView.
Dimethylsulfoniopropionate (DMSP) is a major marine organosulfur compound central to climate‐relevant dimethyl sulfide (DMS) production. In Halomonas sp. D47, DMSP catabolism is revealed to be coordinated by two transcriptional regulators, AcuR and AcuZ, which control gene expression by sensing DMSP and its metabolites.
Li‐Yuan Zheng, Wen‐Xin Jiang, Xiao‐Meng Sun, Li Liu, Zhao‐Jie Teng, Hou‐Qi Wang, Wen‐Jing Zhu, Chang Ge, Qi‐Long Qin, Ning‐Hua Liu, Hai‐Yan Cao, Hui‐Hui Fu, Chun‐Yang Li, Jonathan D. Todd, Xiu‐Lan Chen, Yu‐Zhong Zhang, Peng Wang   +16 more
wiley   +1 more source

Energy expenditure and cellular activity underlie antibiotic tolerance of <i>Pseudomonas aeruginosa</i>. [PDF]

mBio
Gates MF, Lewis K.
europepmc   +1 more source

Stationary distribution of self-organized states and biological information generation. [PDF]

Sci Rep, 2013
Woo HJ.
europepmc   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

Advanced Science, EarlyView.
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, Tommaso Gili, Andrea Gabrielli, Maurizio Mattia   +3 more
wiley   +1 more source