Results 141 to 150 of about 810,661 (307)
Current Directions in Biomedical EngineeringIn recent years, the popularity of veganism has surged, prompting a growing interest in its health implications. While vegan diets offer numerous benefits, they also pose challenges due to potential deficiencies in essential nutrients and the presence of
Jhonson Reynald +4 more
doaj +1 more source
Map Reduce Based Optimized Frequent Subgraph Mining Algorithm for Large Graph Database
, 2020 Sadhana Priyadarshini, Sireesha Rodda
openalex +1 more source
Advanced Functional Materials, EarlyView.A reproducible synthesis to control 3D/0D phase ratios via water‐tuned solvent–antisolvent methods is presented. Enhanced scintillation yield and ultrafast decay are achieved. Defect‐driven emission mechanisms are revealed through cathodoluminescence and radioluminescence, shedding light on the underexplored role of the 0D Cs4PbBr6 and mixed 0D/3D ...
Mario Calora +18 more
wiley +1 more source
Social network analysis of EU flood risk management plans: Case Finland
Journal of Flood Risk ManagementFlood risks are increasing in Europe, and the EU Floods Directive is one of the main efforts to implement and harmonize effective flood risk governance and management among member states.
Thomas Banafa +3 more
doaj +1 more source
Subgraph Isomorphism Search in Massive Graph Databases
, 2016 Chemseddine Nabti, Hamida Seba
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Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth
Advanced Functional Materials, EarlyView.This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh +4 more
wiley +1 more source
Semantic 3D City Database — An enabler for a dynamic geospatial knowledge graph
, 2021 Arkadiusz Chadzynski +9 more
openalex +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Zhongguo dianliAs the widespread integration of new energy and interconnection of large power grids, the operation modes of power systems are undergoing transformations, which leads to a fast surge in data volumes and higher demands for real-time information processing,
Pei ZHANG +8 more
doaj +1 more source
XAI4Wind: A Multimodal Knowledge Graph Database for Explainable Decision Support in Operations & Maintenance of Wind Turbines [PDF]
, 2020 Joyjit Chatterjee, Nina Dethlefs
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