516 research outputs found
sj-docx-1-npx-10.1177_1934578X221075854 - Supplemental material for A New Phenolic Diterpene From the Leaves of <i>Rosmarinus officinalis</i>
No full textSupplemental material, sj-docx-1-npx-10.1177_1934578X221075854 for A New Phenolic Diterpene From the Leaves of Rosmarinus officinalis by Tingwen Zhang, Deng-Gao Zhao, Shuting Li, Kun Zhang, Mei-Li Yang, Xuan Huang, Leyi Li and Yan-Yan Ma in Natural Product Communications</p
CCDC 2092056: Experimental Crystal Structure Determination
No full textRelated Article: Xiyue Yuan, Yunli Zhao, Tao Zhan, Jiyeon Oh, Jiadong Zhou, Junyu Li, Xiaojing Wang, Zhiqiang Wang, Shuting Pang, Ping Cai, Changduk Yang, Zhicai He, Zengqi Xie, Chunhui Duan, Fei Huang, Yong Cao|2021|Energy Environ.Sci.|14|5530|doi:10.1039/D1EE01957
Guidelines on how to quantify extremes in models using EVT (Milestone MS4)
No full textBlue-Action project
Milestone: MS4
Work package in charge: WP1 Improving seasonal long range forecast skill of risks for hazardous
weather and climate events
Actual achievement date of this milestone: Project‐month 18
Partner organisation in charge of the milestone and lead author:
The University of Reading (UREAD): Tamas Bodai
Other contributing authors:
Danish Meteorological Institute (DMI): Torben Schmith, Shuting Yang
Milestone Type: Report
Dissemination level: Public
Means of verification of attainment of the milestone: Analysis routines uploaded to data
Achieved: Yes
Abstract: The objective of this part of the project is to establish the statistical framework of predicting extremes
by a seasonal forecast system. This report summarises some preliminary results. Nonstationary extreme
value statistics of cold temperatures in Kiev has been evaluated, with some index of the NAO as a covariate
responsible for nonstationary conditions. We found that while mean DJF temperatures depend
more on negative values of an NAO index, some extremal features depend more on its positive values.
Furthermore, the lowest temperatures occur for intermediate values of the NAO index.The Blue-Action project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 727852 www.blue-action.e
Computational Methods for Transition States and Pathways in Rare Events
No full textBased on the calculation of transition states and the identification of transition paths, this book aims to provide a comprehensive guide to understanding and simulating rare events.
The author introduces both fundamental concepts of transition states and pathways and advanced computational techniques, focusing on Gentlest Ascent Dynamics (GAD) and its variants. In particular, she explores enhanced numerical methods such as the convex splitting method and the Scalar Auxiliary Variable (SAV) approach within the Iterative Minimization Formulation (IMF). In addition, the book applies these methods to real-world problems, highlighting the string method and the geometric Minimum Action Method (gMAM) for computing transition paths.
The book is written for researchers and practitioners in fields such as applied mathematics, physics, chemistry, and computational science who are interested in the underlying mechanisms of rare events and their transition processes.
Chapters 3 and 4 of this book are each freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license
Chapter 3 Variants of Gentlest Ascent Dynamics for Transition States
No full textBased on the calculation of transition states and the identification of transition paths, this book aims to provide a comprehensive guide to understanding and simulating rare events. The author introduces both fundamental concepts of transition states and pathways and advanced computational techniques, focusing on Gentlest Ascent Dynamics (GAD) and its variants. In particular, she explores enhanced numerical methods such as the convex splitting method and the Scalar Auxiliary Variable (SAV) approach within the Iterative Minimization Formulation (IMF). In addition, the book applies these methods to real-world problems, highlighting the string method and the geometric Minimum Action Method (gMAM) for computing transition paths. The book is written for researchers and practitioners in fields such as applied mathematics, physics, chemistry, and computational science who are interested in the underlying mechanisms of rare events and their transition processes. Chapters 3 and 4 of this book are each freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license
Chapter 4 Enhanced Numerical Schemes in IMF for Transition States
No full textBased on the calculation of transition states and the identification of transition paths, this book aims to provide a comprehensive guide to understanding and simulating rare events. The author introduces both fundamental concepts of transition states and pathways and advanced computational techniques, focusing on Gentlest Ascent Dynamics (GAD) and its variants. In particular, she explores enhanced numerical methods such as the convex splitting method and the Scalar Auxiliary Variable (SAV) approach within the Iterative Minimization Formulation (IMF). In addition, the book applies these methods to real-world problems, highlighting the string method and the geometric Minimum Action Method (gMAM) for computing transition paths. The book is written for researchers and practitioners in fields such as applied mathematics, physics, chemistry, and computational science who are interested in the underlying mechanisms of rare events and their transition processes. Chapters 3 and 4 of this book are each freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license
Enhancing clustering blog documents by utilizing author/reader comments
No full textBlogs are a new form of internet phenomenon and a vast ever-increasing information resource. Mining blog files for information is a very new research direction in data mining. Blog files are different from standard web files and may need specialized mining strategies. We propose to include the title, body, and comments of the blog pages in clustering datasets from blog documents. In particular, we argue that the author/reader comments of the blog pages may have more discriminating effect in clustering blog documents. We constructed a word-page matrix by downloading blog pages from a well-known website and experimented a k-means clustering algorithm with different weights assigned to the title, body, and comment parts. Our experimental results show that assigning a larger weight value to the blog comments helps the k-means algorithm produce better clustering solutions. The experimental results confirm our hypothesis that the author/reader comments of the blog files are very useful in discriminating blog files
Effets angulaires de la température de brillance de la surface observée à partir des données Sentinel-3A/SLSTR
No full textCe travail de thèse utilise les données TIR de SLSTR comme source principale pour extraire la température de brillance de la surface (SBT) en appliquant l’algorithme split-window, afin d’analyser l’effet angulaire sur la SBT. En se basant sur une base de données de simulation, une méthode d’extraction de la SBT a été développée et appliquée aux observations à double angle de SLSTR. L’étude a ensuite examiné l’amplitude et les caractéristiques des différences de SBT entre les vues nadir et obliques, en tenant compte de facteurs tels que l’occupation du sol /la couverture terrestre, la saison, la latitude et le climat. Enfin, l’outil GeoDetector a été utilisé pour effectuer une analyse d’attribution des effets angulaires sur la SBT.This study adopts SLSTR TIR data as the main data source and retrieves surface brightness temperature using split-window algorithm to analyze the angular effect of surface brightness temperature (SBT). Based on the simulation database, SBT retrieval method is developed and applied to SLSTR dual-angle SBT extraction. Then the magnitude and characteristics of SBT differences between nadir and oblique views were observed, considering factors such as land use/land cover, season, latitude and climate. Finally, GeoDetector tool was used to perform attribution analysis of SBT angular effects
Computational Methods for Transition States and Pathways in Rare Events
No full textBased on the calculation of transition states and the identification of transition paths, this book aims to provide a comprehensive guide to understanding and simulating rare events.
The author introduces both fundamental concepts of transition states and pathways and advanced computational techniques, focusing on Gentlest Ascent Dynamics (GAD) and its variants. In particular, she explores enhanced numerical methods such as the convex splitting method and the Scalar Auxiliary Variable (SAV) approach within the Iterative Minimization Formulation (IMF). In addition, the book applies these methods to real-world problems, highlighting the string method and the geometric Minimum Action Method (gMAM) for computing transition paths.
The book is written for researchers and practitioners in fields such as applied mathematics, physics, chemistry, and computational science who are interested in the underlying mechanisms of rare events and their transition processes.
Chapters 3 and 4 of this book are each freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license
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