Results 71 to 80 of about 1,285 (251)

Meta-Reinforcement Learning in Time-Varying UAV Communications: Adaptive Anti-Jamming Channel Selection [PDF]

Radioengineering
Unmanned Aerial Vehicle (UAV) communication networks are vulnerable to malicious jamming and co-channel interference, deteriorating the performance of the networks.
L. Hu, Y. Shao, Y. Qian, F. Du, J. Li, Y. Lin, Z. Wang   +6 more
doaj  

Safety and Efficacy of the Versius Surgical System in Transoral Robotic Surgery: A Prospective Study

Otolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective To evaluate the safety and feasibility of the Versius surgical robotic system for transoral robotic surgery in benign and malignant head and neck indications. Study Design Open‐label, prospective, single‐arm, phase II clinical trial. Setting Liverpool Head and Neck Centre, United Kingdom. Methods Between December 2023 and March 2025,
Jason C. Fleming, Katharine Davies, Christopher Loh, Mark Wilkie, Xander Lawson, Saul Truckle, James Constable, Jennifer Gwinnutt, Jennifer Rodrigues, Paul Banks, Zoe Mellor, Terry M. Jones   +11 more
wiley   +1 more source

How can children and young people have a voice in urban treescapes?

People and Nature, EarlyView.
Abstract Scientific understanding of climate change has, to date, failed to result in sufficient action. This paper proposes that a deficit model of top‐down learning and dissemination in relation to public engagement with science may be part of the problem, particularly when considering the attitudes, values and empowerment of children and young ...
Simon Carr, Abi Hackett, Kate Pahl, Samyia Ambreen, Khawla Badwan, Elizabeth Curtis, Susannah Gill, Ambika Kapoor, Peter Lawrence, Johan Siebers, Jan White   +10 more
wiley   +1 more source

Deep reinforcement learning-empowered anti-jamming strategy aided by sample information entropy

Tongxin xuebao
For the deep reinforcement learning (DRL)-empowered intelligent jamming, an anti-jamming strategy aided by sample information entropy was proposed. Firstly, the anti-jamming strategy network and entropy prediction network were designed based on neural ...
LI Gang, WU Qi, WANG Xiang, LUO Hao, LI Lianghong, JING Xiaorong, CHEN Qianbin   +6 more
doaj   +2 more sources

Thinking with trees: Responding to sympoietic plant relations through visual art

PLANTS, PEOPLE, PLANET, EarlyView.
Amid escalating climate crises, this paper explores how we might rethink our relationship with the natural world, particularly with plants and trees, through the perspectives of visual art. This paper reveals how art invites us to see trees and other plant life not as passive background scenery, but as living beings with their own forms of experience ...
Xiaoyu Yang
wiley   +1 more source

Using art history to explore society's changing connections with agriculture

PLANTS, PEOPLE, PLANET, EarlyView.
Food insecurity is a looming challenge that especially affects those least fortunate. Consumer food choices have a substantial impact on the sustainability of current food systems. Here, we use art as a lens through which to consider our contemporary and historical relationship to one of the world's most crucial crops, the potato, in the context of the
Edward F. Hill‐King, Martin R. McAinsh, Michael R. Roberts   +2 more
wiley   +1 more source

Few-Shot Intelligent Anti-Jamming Access with Fast Convergence: A GAN-Enhanced Deep Reinforcement Learning Approach

Applied Sciences
To address the small-sample training bottleneck and inadequate convergence efficiency of Deep Reinforcement Learning (DRL)-based communication anti-jamming methods in complex electromagnetic environments, this paper proposes a Generative Adversarial ...
Tianxiao Wang, Yingtao Niu, Zhanyang Zhou   +2 more
doaj   +1 more source

Large language models unlock large text corpora in the search for data on medicinal plants and fungi

PLANTS, PEOPLE, PLANET, EarlyView.
Millions of people worldwide depend on plants and fungi for their healthcare needs, yet our understanding of which species are used medicinally—and how—remains fragmented and incomplete. As part of Kew's Plants for Health service, we developed a pipeline to mine large text corpora for information on natural products, initially focusing on the medicinal
Adam Richard‐Bollans, Francesco Civita, Tiziana A. Cossu, Ifra Saifi, Kristina Patmore, Caroline Wilkinson, Bob Allkin   +6 more
wiley   +1 more source

Energy-Efficient Anti-Jamming over Time-Varying Fading Channels via DQN-Based Joint Channel Selection and Power Control

Technologies
Addressing the dual threats of malicious jamming and time-varying fading faced by wireless communication links in complex dynamic electromagnetic adversarial environments, existing intelligent anti-jamming methods predominantly focus on single ...
Yuqi Wen, Yingtao Niu, Yusi Zhang
doaj   +1 more source

Aboveground herbivory elevates belowground rhizosphere volatile organic compound concentrations in ambient and polluted air, independent of volatile sampling methodology

PLANTS, PEOPLE, PLANET, EarlyView.
The effect of air pollution on plants is still underexplored, especially belowground. We used a field facility that released diesel exhaust and ozone at concentrations equivalent to those near a busy road in Reading, UK, to measure belowground gas exchange of Scots pine together with feeding by large pine weevils, a major pest of conifers.
Tihomir Simin, Luke Bell, James M. W. Ryalls, Robbie D. Girling, Oliver E. I. Welling, Neil J. Mullinger, Muhammad Usman Rasheed, James D. Blande   +7 more
wiley   +1 more source