1,573 research outputs found
Supplemental material - Nanoarchitectured Graphene Organic Framework for Drug Delivery and Chemo-photothermal Synergistic Therapy
No full textSupplementary material for Nanoarchitectured Graphene Organic Framework for Drug Delivery and Chemo-photothermal Synergistic Therapy by Chengfeng Xu, Shuting Yao, Peng Jiang, Cui Wang, Jinhua Hu, Junmin Wan, Zhiwen Hu, and Bing Wang in Journal of Biomaterials Applications</p
Supplemental material for Acid-labile hyperbranched poly(ortho ester amido amine) as efficient gene carriers: Preparation, characterization, and in vitro evaluation
No full textSupplemental Material for Acid-labile hyperbranched poly(ortho ester amido amine) as efficient gene carriers: Preparation, characterization, and in vitro evaluation by Shuting Li, Liefeng Hu, Jun Wang, Guo Yan, Xin Wang, Dapeng Li, Xiaoli Zeng and Rupei Tang in Journal of Biomaterials Applications</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
sj-docx-1-gpi-10.1177_13684302211051619 – Supplemental material for A world together: Global citizen identification as a basis for prosociality in the face of COVID-19
No full textSupplemental material, sj-docx-1-gpi-10.1177_13684302211051619 for A world together: Global citizen identification as a basis for prosociality in the face of COVID-19 by Zhechen Wang, Jolanda Jetten, Niklas K. Steffens, Belén Álvarez, Sarah V. Bentley, Bruno Gabriel Salvador Casara, Charlie R. Crimston, Octavia Ionescu, Henning Krug, Hema Preya Selvanathan, Porntida Tanjitpiyanond, Susilo Wibisono, Shuting Chen, Jiajun Wang, Xin Zhang and Shijin Sun in Group Processes & Intergroup Relations</p
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
Fast finite-time tracking consensus with applications on multiple servo motors
No full textThis article focuses on the fast finite-time tracking consensus for uncertain nonlinear multiagent systems. By gracefully combining the hierarchical decomposition, adding a barrier power integrator and disturbance compensation techniques, a new adaptive fast finite-time controller is proposed. Compared with the existing works, the proposed method has several distinguishing features: 1) It can achieve fast finite-time convergence with full state constraints; 2) it can deal with some fully unknown nonlinearities and state-dependent disturbance. Moreover, the nonlinearities can be related with the states of all the followers; 3) the input of the leader is not required to be zero, meaning a broad class of references signals can be generated; and 4) the controller is computationally simply and ready to be implemented. No fuzzy logic/neural networks are needed. Applications of the proposed method on multiple servo motors are also studied.Shiqi Zheng, Peng Shi, Yuanlong Xie, and Shuting Wan
Small-Molecule Modulators of Toll-like Receptors
No full textConspectusToll-like receptors (TLRs) are the "gatekeepers" of the immune system in humans and other animals to protect the host from invading bacteria, viruses, and other microorganisms. Since TLR4 was discovered as the receptor for endotoxin in the late 1990s, significant progress has been made in exploiting an understanding of the function of TLRs. The TLR-signaling pathway is crucial for the induction and progression of various diseases. Dysregulation of TLR signaling contributes to numerous pathological conditions, including chronic inflammation, sepsis, cancers, asthma, neuropathic pain, drug addiction, and autoimmune diseases. Therefore, manipulation of TLR signaling is promising to halt their activity in inflammatory diseases, to enhance their signaling to fight cancers, to modulate their role in autoimmune diseases, and to suppress them to treat drug addiction. TLR agonists have demonstrated great potential as antimicrobial agents and vaccine adjuvants, whereas TLR antagonists are being developed as reagents and drugs to dampen immune responses. Because of their pivotal potential therapeutic applications, fruitful small-molecule compounds and peptide fragments have been discovered, and many of them have advanced to various stages of clinical trials (though only two have been approved by the Food and Drug Administration (FDA): MPLA as a TLR4 agonist and imiquimod as a TLR7 agonist).In this Account, we focus on the progress in developing TLR signaling pathway modulators (mainly focused on the Yin and Wang laboratories) over the past decade and highlight the accomplishments and currently existing challenges in the development of TLR modulators. First, we briefly describe the members of the human TLR family along with their natural modulators. Second, we illustrate our endeavors to discover TLR-targeted agents using comprehensive approaches. Specifically, a discussion of identification and characterization of new chemical entities, determination of modes of action, and further applications is presented. For instance, the TLR3 antagonist was first discovered through in silico screening, and the inhibitory activity was confirmed in murine cells. Considering the glycosylation on TLR3, a new direction for TLR3 modulator design was pointed out to target asparagine glycosylation. We have particularly focused on the discovery of TLR4 antagonists and have assessed their great potential in the clinical treatment of drug addiction and alcohol use disorders. In addition, we discuss multiple other popular and robust techniques for modulator discovery. Not only small organic modulators but also stapled peptides and peptidomimetics will attract more and more attention in the future. Finally, current challenges, opportunities, and future perspectives for TLR-targeted agents are also discussed.Yibo Wang, Shuting Zhang, Hongyuan Li, Hongshuang Wang, Tianshu Zhang, Mark R. Hutchinson ... et al
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
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