Results 211 to 220 of about 830,908 (304)
Urban Design Factors Influencing Surface Urban Heat Island in the High-Density City of Guangzhou Based on the Local Climate Zone. [PDF]
Sensors (Basel), 2019 Shi Y, Xiang Y, Zhang Y.
europepmc +1 more source
Agribusiness, EarlyView.ABSTRACT Native plants offer a variety of aesthetic (e.g., fall colour, fruit, flowers) and functional benefits (e.g., pollinator friendly, wildlife friendly, water management). How these benefits influence consumer choice and perceived value of native versus introduced plants is not well understood.
Alicia Rihn +3 more
wiley +1 more source
Agribusiness, EarlyView.ABSTRACT The Mekong Delta (MKD), Vietnam has achieved high rice productivity through rapid intensification. However, this progress has led to environmental degradation and adverse economic and health effects. To mitigate these challenges, sustainable agricultural practices (SAPs) have been promoted.
Nguyen Thi Thu Hien +5 more
wiley +1 more source
From climate zone to microhabitat-environmental factors affecting the coastal distribution of tiger beetles (Coleoptera: Cicindelidae) in the south-eastern European biodiversity hotspot. [PDF]
PeerJ, 2019 Jaskuła R, Płóciennik M, Schwerk A.
europepmc +1 more source
European climate zones and bio-climatic design requirements
Formulation of requirements attending to European climate zones and bio-climatic design considerations. These requirements will consider comfort, indoor climate, heating, cooling and daylight specifications as a function of climatic zones.
openaire +1 more source
The Role of Certifications in Improving Household Food Security Among Peruvian Farmers
Agribusiness, EarlyView.ABSTRACT Achieving global food security requires sustainable transformations in agri‐food systems. Voluntary Sustainability Standards (VSS) such as Organic and Fairtrade aim to internalize certain social and environmental costs while promoting more equitable value distribution, improved market access, and sustainable production practices.
Lisa‐Marie Schulte, Awudu Abdulai
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
Advanced Intelligent Discovery, EarlyView.We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen +6 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren +10 more
wiley +1 more source