Results 111 to 120 of about 109,360 (279)

Greater future range expansions in alien than native ant species

Oikos, EarlyView.
There is growing concern that many species may not be able to track suitable conditions under climate change and suffer range contractions as a result. At the same time, alien species introduced to novel geographic ranges are often assumed to benefit from climate change.
Tongyi Liu, Sébastien Ollier, Cleo Bertelsmeier   +2 more
wiley   +1 more source

Effect distances of road traffic noise on wildlife behaviour: A soundscape mapping approach using bird habitat selection

People and Nature, EarlyView.
Abstract Road traffic noise is a pervasive environmental pollutant that negatively affects wildlife globally. Despite growing research, quantifying the spatial extent of noise impacts remains underdeveloped. Soundscape mapping from social sciences and engineering literature offers a useful yet rarely implemented tool to depict noise impact distances ...
Yael Lehnardt, Gopal Murali, Uri Roll, Oded Berger‐Tal   +3 more
wiley   +1 more source

Experimental and Numerical Investigation on the Dynamic Impact Response of Hat‐Shaped Basalt Fiber‐Reinforced Polymer Composite Structures With Improved Interfacial Properties

Polymer Composites, EarlyView.
Graphical abstract illustrating the experimental design and key findings of the study. ABSTRACT Basalt fiber‐reinforced polymer (BFRP) composites are gaining attention as sustainable alternatives to conventional fiber‐reinforced polymers owing to their favorable mechanical properties and environmental advantages.
Abdulrahman Adeiza Musa, Min Gyu Kim, Anand Prakash Jaiswal, Thuan Ho‐Nguyen‐Tan, Jaesang Yu, Soon Ho Yoon, Azikiwe Peter Onwualu, Minkook Kim   +7 more
wiley   +1 more source

EKV-VBQ: Ensuring Verifiable Boolean Queries in Encrypted Key-Value Stores

Sensors
To address the deficiencies in privacy-preserving expressive query and verification mechanisms in outsourced key-value stores, we propose EKV-VBQ, a scheme designed to ensure verifiable Boolean queries over encrypted key-value data.
Yuxi Li, Jingjing Chen, Fucai Zhou, Dong Ji   +3 more
doaj   +1 more source

Spatial Variability of Permafrost and Active Layer Thickness in a Forested Hillslope of the Taiga Shield

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT Under continued climate warming, understanding present‐day permafrost distribution and the controls on ground thaw are critical for predicting permafrost thaw trajectories and associated implications. This study presents a high‐resolution investigation of permafrost extent and active layer thickness (ALT) across a coniferous forested hillslope
Alana Muenchrath, Christopher Spence, Andrew Ireson   +2 more
wiley   +1 more source

Growth of bilinear maps III: decidability

Theoretical Computer Science
The following notion of growth rate can be seen as a generalization of joint spectral radius: Given a bilinear map $*:\mathbb R^d\times\mathbb R^d\to\mathbb R^d$ with nonnegative coefficients and a nonnegative vector $s\in\mathbb R^d$, denote by $g(n)$ the largest possible entry of a vector obtained by combining $n$ instances of $s$ using $n-1 ...
openaire   +2 more sources

Reduced‐Order Modeling of Energetic Materials Using Physics‐Aware Recurrent Convolutional Neural Networks in a Latent Space (LatentPARC)

Propellants, Explosives, Pyrotechnics, EarlyView.
Physics‐Aware Recurrent Convolutional Neural Networks (PARC) can reliably learn the thermomechanics of energetic materials as a function of morphology. This work introduces LatentPARC, which accelerates PARC by modeling the dynamics in a low‐dimensional latent space.
Zoë J. Gray, Joseph B. Choi, Youngsoo Choi, H. Keo Springer, H. S. Udaykumar, Stephen S. Baek   +5 more
wiley   +1 more source

COBASE: A new copula‐based shuffling method for ensemble weather forecast postprocessing

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We propose COBASE, a novel copula‐based postprocessing methododology that combines the strengths of multivariate parametric correction with non‐parametric rank‐based approaches. We consider two case studies for multi‐site temperature in Austria and multi‐site temperature and dew‐point temperature in the Netherlands.
Maurits Flos, Bastien François, Irene Schicker, Kirien Whan, Elisa Perrone   +4 more
wiley   +1 more source

Bivariate postprocessing of wind vectors

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner, David Jobst, Annette Möller, Claudia Czado   +3 more
wiley   +1 more source

FSBNet: A Classifying Framework of Disaster Scene for Volcanic Lithology Through Deep-Learning Models

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volcanic lithology classification is one of the fundamental tasks in remote sensing investigation of disaster scenes, and deep learning can improve the accuracy and efficiency of classification.
Lan Liu, Zhouyi Xiao, Jianpeng Hu, Jingxin Han, Jung Yoon Kim, Rohit Sharma, Chengfan Li   +6 more
doaj   +1 more source