Results 51 to 60 of about 4,767 (172)

Pteris madhusoodananii (Pteridaceae), a new fern species from India

Nordic Journal of Botany, EarlyView.
Pteris madhusoodananii sp. nov. (Pteridaceae), from the Kolli hills of Eastern Ghats, India, is described. The new taxon is morphologically distinct, characterized by a unique lamina texture and coloration, specific pinna‐pinnule architecture and distinct spore micromorphology.
Kalathil Sethumadhavan Abhilash, Alex Philip Alen, Thekkekara Suresh Gayathri, Veerankutty Suresh, Jose Sojan, V. K. Sreenivas, Lakshmanan Leeja   +6 more
wiley   +1 more source

Planting for healthy air: Urban biodiversity enhances natural chemical environments

PLANTS, PEOPLE, PLANET, EarlyView.
Cities urgently need nature to improve public health, support biodiversity, and increase resilience to climate change. Yet not all green spaces offer the same benefits. In this study, we show that more diverse urban plantings create richer “chemical environments”; subtle, naturally scented atmospheres formed by plant emissions that can influence how ...
Aurora Ruggeri, Fethi Ben Fraj, Gaetan Glauser, Gregory Röder, Ola Söderström, Sergio Rasmann   +5 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

AI‐Revealed Transition From Density‐ to Connectivity‐Controlled Mechanics in Hierarchical Porous Materials

Small, EarlyView.
Using synchrotron‐based multiscale imaging, generative modeling algorithms, and computational mechanics models, our study reveals a scale‐dependent transition in bone mechanics. The results of the power‐scaling law illustrate a transition from density‐controlled stiffness at the trabecular scale to connectivity‐controlled, porosity‐sensitive mechanics ...
Milad Masrouri, Federica Buccino, Laura Maria Vergani, Zhao Qin   +3 more
wiley   +1 more source

MXene Bioinks for 3D Bioprinting: Design and Translation

Small, EarlyView.
This study establishes a comprehensive framework for MXene‐based bioinks in 3D bioprinting, highlighting the interplay between rheological engineering and electroactive hydrogels. By optimizing electrical percolation and mediated signaling, these formulations drive tissue‐specific biological outcomes and accelerated regeneration.
Begüm Sarac, Seydanur Yücer, Fatih Ciftci   +2 more
wiley   +1 more source

Micro‐habitat selection by boreal woodland caribou improves access to food

Wildlife Biology, EarlyView.
Bio‐logging sensors attached to radiotelemetry receivers have great potential to transform our understanding of the ecological, physiological, and energetic constraints that shape patterns of wildlife movement under field conditions. We used video camera collars to assess microhabitat selectivity by woodland caribou Rangifer tarandus in boreal forests ...
Ian D. Thompson, Philip A. Wiebe, Arthur R. Rodgers, Douglas Reid, James A. Baker, Brent R. Patterson, Eric McNeill, Romain Dejeante, John M. Fryxell   +8 more
wiley   +1 more source

A novel sparse recovery space‐time adaptive processing algorithm using the log‐sum penalty to approximate the ℓ0 − norm penalty

IET Radar, Sonar & Navigation
Applying the sparse recovery (SR) technique to airborne radar space‐time adaptive processing (STAP) can greatly reduce the number of required training samples, which is advantageous in detecting targets in non‐homogeneous and non‐stationary clutter ...
Kun Liu, Tong Wang
doaj   +1 more source

DSCT: Dual-Sparse Coherent Transformer With Cross-Feature Alignment for Remote Sensing Image Super-Resolution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Transformer-based methods have achieved significant progress in remote sensing image super-resolution (SR), benefiting from the flexible formulation of self-attention mechanisms for modeling long-range dependencies and structural correlations.
Shuaifang Wei, Shipeng Fu, Haoran Yang, Xiaomin Yang   +3 more
doaj   +1 more source

Exploration and Exploitation: A Study on Sample Efficiency in Reinforcement Learning With Multifaceted Curiosity Rewards and Adaptive Experience Replay Utilisation in Sparse Reward Environments

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In recent years, the widespread application of deep reinforcement learning (DRL) in autonomous systems has highlighted the importance of achieving high sample efficiency under sparse reward conditions. To improve sample efficiency in sparse reward environments, this paper proposes a reinforcement learning framework built upon the Soft Actor ...
Jingyi Huang, Guipeng Xi, Meixiu Lin, Haohui Zhang, Bo Li, Evgeny Neretin   +5 more
wiley   +1 more source

Reducing acquisition time and radiation damage: data‐driven subsampling for spectro‐microscopy

Journal of Synchrotron Radiation, EarlyView.
Data‐driven sparse acquisition in spectro‐microscopy reduces acquisition time and radiation dose while preserving information.Spectro‐microscopy is an experimental technique which can be used to observe spatial variations in chemical state and changes in chemical state over time or under experimental conditions.
Maike Meier, Lorenzo Lazzarino, Boris Shustin, Hussam Al Daas, Paul Quinn   +4 more
wiley   +1 more source