Results 211 to 220 of about 243,816 (294)

Numerical Modeling of Photothermal Self‐Excited Composite Oscillators

Advanced Robotics Research, EarlyView.
We present a numerical framework for simulating photothermal self‐excited oscillations. The driving mechanism is elucidated by highlighting the roles of inertia and overshoot, as well as the phase lag between the thermal moment and the oscillation angle, which together construct the feedback loop between the system state and the environmental stimulus.
Zixiao Liu, Ryan R. Rusch, Zheng Wu, Chi Chen, Pengju Shi, Hao Qiu, Ximin He   +6 more
wiley   +1 more source

Pathogenic Roles of Polyketide Synthase CLPKS18 and (<i>R</i>)-(-)-Mellein from <i>Curvularia lunata</i> in Maize Leaf Spot. [PDF]

J Fungi (Basel)
Lu Z, Shang L, Wang S, Wang X, Li Y, Zhang S, Wang J, Chen J.   +7 more
europepmc   +1 more source

Origami‐Inspired Structural Design for Aquatic‐Terrestrial Amphibious Robots

Advanced Robotics Research, EarlyView.
This work presents a lightweight amphibious origami robot actuated by a single shape memory alloy wire. A rigid foldable origami structure with displacement amplification enables efficient terrestrial crawling and aquatic swimming. The addition of fan‐shaped units allows controllable turning in both environments.
Weiqi Liu, Chunlong Wang, Xiaohang Sun, Hongwei Guo, Jiayao Ma, Yan Chen   +5 more
wiley   +1 more source

Isolation and identification of antagonistic fungi for biocontrol of <i>Impatiens hawkeri</i> leaf spot disease and their growth-promoting potential. [PDF]

Front Microbiol
Li H, Yang M, Liu J, Sun Y, Yang H, Lu J.   +5 more
europepmc   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Root‐Stimulated Movements in Mimosa Pudica for Biohybrid Robotic Systems

Advanced Robotics Research, EarlyView.
This study demonstrates that thermal and electrical stimulation of Mimosa pudica root induces movement of the petiole and pinnules without direct stimulation of the aerial organs, thereby enabling a plant‐based robotic gripper and providing a foundation for the development of intelligent and sustainable systems.
Misao Sato, Kazuya Murakami, Yu Ikeda, Yuki Sakashita, Hayato Kurusu, Ken Yokawa, Jun Shintake   +6 more
wiley   +1 more source

Mungbean G × E interaction unveiling resistance to Cercospora leaf spot through GGE biplot analysis. [PDF]

Sci Rep
Irfan M, Bhat MA, Rashid U, Bhat FA, Alwutayd KM.   +4 more
europepmc   +1 more source

RNF213 Is an Interferon‐Stimulated Gene That Targets Influenza A Virus NP and Activates MDA5 to Restrict Infection

Advanced Science, EarlyView.
RNF213 is characterized as a dual‐functional antiviral effector. It directly mediates the degradation of the influenza A virus nucleoprotein (NP) while simultaneously activating the MDA5‐mediated innate immune signaling pathway. This coordinated response establishes a powerful host defense system against viral infection. ABSTRACT Influenza A virus (IAV)
Haoning Li, Yuying Zhang, Jingjing Wang, Qianqian Zhang, Hailiang Sun, Fanhua Wei   +5 more
wiley   +1 more source

Synergistic curative effects of <i>Trichoderma hamatum</i> and <i>Rumex dentatus</i> against <i>Alternaria alternata</i>, the causal agent of tomato leaf spot disease. [PDF]

Front Plant Sci
Philip B, Eid AR, Bayoumi SR, Heflish A, Atallah OO, Abdelwahab EA, Michalecka M, Behiry SI, Abdelkhalek A, Al-Askar AA.   +9 more
europepmc   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source