Results 71 to 80 of about 27,601,135 (361)
Decision Support for Mitigation of Livestock Disease: Rinderpest as a Case Study
A versatile, interactive model to predict geographically resolved epidemic progression after pathogen introduction into a population is presented.
Judith R. Mourant +3 more
doaj +1 more source
A Grid for Multidimensional and Multivariate Spatial Representation and Data Processing
Researchers use 2D and 3D spatial models of multivariate data of differing resolutions and formats. It can be challenging to work with multiple datasets, and it is time consuming to set up a robust, performant grid to handle such spatial models. We share
Tobias Stål, Anya M. Reading
doaj +1 more source
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
Introduction. In this study, we develop a system for assessing the environmental impact of road transport on air quality in cities. The research relevance is determined by the need to create improved approaches to assessing air pollution in cities ...
N. I. Kurakina +3 more
doaj +1 more source
Model-Based Estimation of Collision Risks of Predatory Birds with Wind Turbines
The expansion of renewable energies, such as wind power, is a promising way of mitigating climate change. Because of the risk of collision with rotor blades, wind turbines have negative effects on local bird populations, particularly on raptors such as ...
Marcus Eichhorn +3 more
doaj +1 more source
Our aim in this article is to point out that mainstream spatial models (either world-based or experience-based) prove largely inadequate for the analysis of verbal particles in English.
Catherine Douay, Daniel Roulland
doaj +1 more source
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
Forecasting the traffic flows is a critical issue for researchers and practitioners in the field of transportation. However, it is very challenging since the traffic flows usually show high nonlinearities and complex patterns.
S. Guo +4 more
semanticscholar +1 more source
Spatial-temporal network data forecasting is of great importance in a huge amount of applications for traffic management and urban planning. However, the underlying complex spatial-temporal correlations and heterogeneities make this problem challenging ...
Chao Song +3 more
semanticscholar +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Continuous Indoor Visual Localization Using a Spatial Model and Constraint
Visual localization is an accurate and low-cost indoor localization solution. A bottleneck for visual localization is the computation efficiency of continuous image searching and matching.
Xing Zhang +4 more
doaj +1 more source

