Found: 13
Select item for more details and to access through your institution.
Exploring Antioxidant and α-Glucosidase Inhibitory Activities in Mulberry Leaves (Morus alba L.) across Growth Stages: A Comprehensive Metabolomic Analysis with Chemometrics.
- Published in:
- Molecules, 2024, v. 29, n. 1, p. 171, doi. 10.3390/molecules29010171
- By:
- Publication type:
- Article
Molecular Networking, Network Pharmacology, and Molecular Docking Approaches Employed to Investigate the Changes in Ephedrae Herba before and after Honey-Processing.
- Published in:
- Molecules, 2022, v. 27, n. 13, p. 4057, doi. 10.3390/molecules27134057
- By:
- Publication type:
- Article
Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 2, p. 333, doi. 10.1007/s00466-023-02336-5
- By:
- Publication type:
- Article
Convolution Hierarchical Deep-Learning Neural Network Tensor Decomposition (C-HiDeNN-TD) for high-resolution topology optimization.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 2, p. 363, doi. 10.1007/s00466-023-02333-8
- By:
- Publication type:
- Article
Concurrent n-scale modeling for non-orthogonal woven composite.
- Published in:
- Computational Mechanics, 2022, v. 70, n. 4, p. 853, doi. 10.1007/s00466-022-02199-2
- By:
- Publication type:
- Article
Hierarchical deep-learning neural networks: finite elements and beyond.
- Published in:
- Computational Mechanics, 2021, v. 67, n. 1, p. 207, doi. 10.1007/s00466-020-01928-9
- By:
- Publication type:
- Article
Clustering discretization methods for generation of material performance databases in machine learning and design optimization.
- Published in:
- Computational Mechanics, 2019, v. 64, n. 2, p. 281, doi. 10.1007/s00466-019-01716-0
- By:
- Publication type:
- Article
Reduced Order Machine Learning Finite Element Methods: Concept, Implementation, and Future Applications.
- Published in:
- CMES-Computer Modeling in Engineering & Sciences, 2021, v. 129, n. 3, p. 1351, doi. 10.32604/cmes.2021.017719
- By:
- Publication type:
- Article
Chemical Characteristics and Comparison of Schizonepetae Herba and Schizonepetae Herba Carbonisata by Combination of GC–MS and UHPLC–MS Strategies.
- Published in:
- Journal of AOAC International, 2023, v. 106, n. 4, p. 970, doi. 10.1093/jaoacint/qsad039
- By:
- Publication type:
- Article
Optimization of Extraction and Quality Evaluation of Abri Herba by Response Surface Methodology Combined with Quantitative Analysis of Multi-Components by a Single Marker.
- Published in:
- Journal of AOAC International, 2023, v. 106, n. 3, p. 760, doi. 10.1093/jaoacint/qsac149
- By:
- Publication type:
- Article
Comparison of Volatile Oils and Primary Metabolites of Raw and Honey-Processed Ephedrae Herba by GC-MS and Chemometrics.
- Published in:
- Journal of AOAC International, 2022, v. 105, n. 2, p. 576, doi. 10.1093/jaoacint/qsab139
- By:
- Publication type:
- Article
Exploration of chemical components and metabolite synthesis pathways in eight Ephedra species based on HS-GC-MS and UPLC-Q-TOF-MS.
- Published in:
- Frontiers in Plant Science, 2024, p. 1, doi. 10.3389/fpls.2024.1421008
- By:
- Publication type:
- Article
Centralizers in graph products of semigroups.
- Published in:
- Semigroup Forum, 2023, v. 106, n. 1, p. 285, doi. 10.1007/s00233-022-10331-0
- By:
- Publication type:
- Article