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A deep neural network based surrogate model for damage identification in full-scale structures with incomplete noisy measurements

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Frontiers of structural and Civil engineering 2024年第3期18卷 393-410页

作者： Tram BUI-NGOC Duy-Khuong LY Tam T TRUONG Chanachai THONGCHOM T.NGUYEN-THOI Laboratory for Computational Mechanics Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh City 70000Vietnam Faculty of Mechanical-Electrical and Computer Engineering School of TechnologyVan Lang UniversityHo Chi Minh City 70000Vietnam Faculty of Civil Engineering School of TechnologyVan Lang UniversityHo Chi Minh City 70000Vietnam Department of Computer Science Aarhus UniversityAarhus 8000Denmark Thammasat University research unit in structural and foundation engineering Department of Civil EngineeringThammasat UniversityPathumthani 12120Thailand Laboratory for Applied and Industrial Mathematics Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh City 70000Vietnam Thammasat School of Engineering Thammasat UniversityPathumthani 12120Thailand

The paper introduces a novel approach for detecting structural damage in full-scale structures using surrogate models generated from incomplete modal data and deep neural networks(DNNs).A significant challenge in this field is the limited availability of measurement data for full-scale structures,which is addressed in this paper by generating data sets using a reduced finite element(FE)model constructed by SAP2000 software and the MATLAB programming *** surrogate models are trained using response data obtained from the monitored structure through a limited number of measurement *** proposed approach involves training a single surrogate model that can quickly predict the location and severity of damage for all potential *** achieve the most generalized surrogate model,the study explores different types of layers and hyperparameters of the training algorithm and employs state-of-the-art techniques to avoid overfitting and to accelerate the training *** approach’s effectiveness,efficiency,and applicability are demonstrated by two numerical *** study also verifies the robustness of the proposed approach on data sets with sparse and noisy measured ***,the proposed approach is a promising alternative to traditional approaches that rely on FE model updating and optimization algorithms,which can be computationally *** approach also shows potential for broader applications in structural damage detection.

关键词： vibration-based damage detection deep neural network full-scale structures finite element model updating noisy incomplete modal data

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Hygrothermomechanical loading-induced vibration study of multilayer piezoelectric nanoplates with functionally graded porous cores resting on a variable viscoelastic substrate

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International Journal of Thermofluids 2024年 23卷

作者： Jearsiripongkul, Thira Saffari, Peyman Roodgar Thongchom, Chanachai Lawongkerd, Jintara Saffari, Pouyan Roodgar Keawsawasvong, Suraparb Mitoulis, Stergios Aristoteles Research Unit in Advanced Mechanics of Solids and Vibration Department of Mechanical Engineering Thammasat School of Engineering Faculty of Engineering Thammasat University Pathumthani12120 Thailand Research Unit in Advanced Mechanics of Solids and Vibration Department of Civil Engineering Thammasat School of Engineering Faculty of Engineering Thammasat University Pathumthani12120 Thailand Research Unit in Structural and Foundation Engineering Department of Civil Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Pathumthani12120 Thailand Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures Department of Civil Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Pathumthani12120 Thailand Department of Civil Engineering School of Engineering University of Birmingham United Kingdom

Harnessing vibrations in multifunctional nanostructured plates is pivotal to next-gen microsystems but necessitates understanding scale effects under multifield loading. Investigated in this work are the forced and unforced vibrations of multilayered piezoelectric nanoplates supported on a variable viscoelastic medium and loaded hygrothermo-electromechanically with functionally graded porous (FGP) cores. The viscoelastic foundation is supposed to demonstrate non-linear changes in both stiffness and damping characteristics in the x-coordinate direction. The goal is to improve the accuracy of the results by using the nonlocal strain gradient theory (NSGT) and the third-order shear deformation assumption (TSDA), which include the effects of hardening and softening materials. The FGP core layer considers four states of porosity distribution patterns. These porosity distributions are expected to change in both the in-plane and thickness directions. The governing partial differential equations resulting from Hamilton's principle can be reduced to a system of algebraic equations by applying the Galerkin method. The parametric studies evaluate the effects of several factors, such as the initial electric voltage, viscoelastic medium parameters, moisture rise, temperature changes, porosity distributions, FG index, nonlocal and strain gradient features, and boundary conditions, on the vibration response. The novelty lies in the incorporation of advanced theories, such as the NSGT and TSDT, which capture size-dependent effects and material hardening/softening phenomena. Additionally, the consideration of four distinct porosity distribution patterns in the FGP core layer provides insights into the influence of porosity gradients on the dynamic response. The proposed model can guide the design and optimization of multifunctional nanostructured plates for applications in next-generation microsystems, energy harvesting devices, and smart structures. © 2024

关键词： Vibration analysis

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Vibration characteristics of multilayer functionally graded microplates with variable thickness reinforced by graphene platelets resting on the viscoelastic medium under thermal effects

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International Journal of Thermofluids 2024年 22卷

作者： Lawongkerd, Jintara Roodgar Saffari, Peyman Jearsiripongkul, Thira Thongchom, Chanachai Ismail, Sikiru Oluwarotimi Saffari, Pouyan Roodgar Keawsawasvong, Suraparb Department of Civil Engineering Thammasat School of Engineering Faculty of Engineering Thammasat University Pathumthani12120 Thailand Department of Mechanical Engineering Thammasat School of Engineering Faculty of Engineering Thammasat University Pathumthani12120 Thailand Research Unit in Structural and Foundation Engineering Department of Civil Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Pathumthani12120 Thailand Department of Engineering School of Physics Engineering and Computer Science University of Hertfordshire England HatfieldAL10 9AB United Kingdom Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures Department of Civil Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Pathumthani12120 Thailand

Due to their improved mechanical properties and adaptability, microplates with tailored variable thickness profiles are becoming essential parts of advanced micro- and nanoelectromechanical systems (MEMS and NEMS). This study conducts a thorough analytical analysis of the vibration properties of thermally loaded, multilayer functionally graded graphene platelet-reinforced composite (FG-GPLRC) microplates of linearly or parabolically varying thickness resting on viscoelastic medium under different boundary conditions. The Halpin–Tsai micromechanical model and the law of mixtures are employed to calculate the effective material characteristics for various reinforcement distributions in the microplate. These distributions encompass uniformly symmetric and asymmetric arrangements. The study utilized the first-order shear deformation theory (FSDT) in conjunction with the modified strain gradient theory (MSGT) and Hamilton's principle to generate the dynamic governing equations for the structure, accounting for size-dependent effects. The resulting equations are afterwards solved using the utilization of the Galerkin technique. This enables the evaluation of the proposed solution's correctness and precision. The impact of various factors on vibration behavior is investigated through numerical analysis. These factors encompass length scale parameters, temperature fluctuations, temperature distribution profiles, boundary conditions, the distribution pattern of the GPL, taper constants in both unidirectional and bidirectional scenarios, the weight fraction of the GPL. © 2024

关键词： Multilayers

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Behavior and performance of GFRP-reinforced concrete columns confined with CFRP under concentric and eccentric loading

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Structures 2025年 79卷

作者： Jongchai Jaitrong Chanachai Thongchom Thammasat University Research Unit in Structural and Foundation Engineering Department of Civil Engineering Thammasat School of Engineering Thammasat University Klongluang Pathumthani 12120 Thailand

At present, a lack of research exists on square concrete columns reinforced with both longitudinal and transverse Glass Fiber Reinforced Polymer (GFRP) bars and externally confined with Carbon Fiber Reinforced Polymer (CFRP) sheets. The structural performance of concrete columns was investigated in this study under both concentric and eccentric loading. The columns were reinforced with Glass Fiber Reinforced Polymer (GFRP) bars and confined with Carbon Fiber Reinforced Polymer (CFRP). Fourteen columns with different tie spacings and numbers of CFRP layers were tested to evaluate failure modes, axial stress capacity, deformability, the contribution of longitudinal GFRP bars, and the P-M interaction diagrams. The results showed that reducing the transverse tie spacing from 80 mm to 30 mm enhanced ductility and delayed failure, though its effect on ultimate axial strength was limited. Conversely, CFRP confinement significantly enhanced both the load-carrying capacity and deformation performance. The axial strength increased by over 54 % under eccentric loading and by up to 66.2 % under concentric loading. Increasing the number of CFRP layers further delayed failure and improved confinement efficiency. Strain measurements revealed that CFRP wrapping enabled longitudinal GFRP bars to reach up to 60 % of their ultimate tensile strain, compared to only 17.5 % in unconfined columns. Analytical models incorporating a GFRP strain limit of 0.005 provided the closest agreement with experimental results in terms of both axial capacity and P–M interaction diagrams.

关键词： Columns (structural)

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Ensemble boosting-based soft-computing models for predicting the bond strength between steel and CFRP plate

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Scientific reports 2025年第1期15卷 1-18页

作者： Irwan Afriadi Chanachai Thongchom Divesh Ranjan Kumar Suraparb Keawsawasvong Warit Wipulanusat Research Unit in Structural and Foundation Engineering Department of Civil Engineering Department of Civil Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Khlong Luang Pathumthani Thailand. Research Unit in Structural and Foundation Engineering Department of Civil Engineering Department of Civil Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Khlong Luang Pathumthani Thailand. tchanach@engr.tu.ac.th. Research Unit in Data Science and Digital Transformation Department of Civil Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Khlong Luang Pathumthani Thailand. Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures Department of Civil Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Khlong Luang Pathumthani Thailand.

Fiber reinforced polymers (FRPs) hold great potential for reinforcing and repairing structures due to their high strength-to-weight ratio and excellent resistance to corrosion and environmental degradation. Modeling debonding failures requires an understanding of the behavior of simple FRP-to-steel bonded connections. The use of boosting-based machine learning methods for CFRP-to-steel bonded contacts has received little research attention. The present study examines the bond behavior of CFRP sheets in steel beams using boosting-based ensemble machine learning approaches such as the XGBoost, GBM, CATBoost, LGBM, and ADABoost algorithms. For the machine learning boosting-based model approach, eight total input variables and one output variable were chosen to predict the maximum load (PU) of the bonding behavior between the CFRP and steel. The study uses a database of 317 experimental datasets compiled from previous literature for training and testing the proposed machine learning models. On the other hand, rank analysis was utilized to determine the optimal models. According to the results of rank analysis utilizing many performance criteria, ADABoost overcame the other outcomes, with R values for training and testing of 1 and 0.99882, respectively. The construction industry benefits directly from the application of established boosting-based machine learning techniques to investigate the bonding behavior of CFRP sheets on steel beams. This methodology enhances the accuracy of the design, reduces costs, and increases the general performance and durability of CFRP-reinforced buildings.

关键词： ADABoost CATBoost CFRP GBM LGBM XGBoost

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Genomic investigations of unexplained acute hepatitis in children

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Nature 2023年第7961期617卷 564-573页

作者： Morfopoulou, Sofia Buddle, Sarah Torres Montaguth, Oscar Enrique Atkinson, Laura Guerra-Assunção, José Afonso Moradi Marjaneh, Mahdi Zennezini Chiozzi, Riccardo Storey, Nathaniel Campos, Luis Hutchinson, J. Ciaran Counsell, John R. Pollara, Gabriele Roy, Sunando Venturini, Cristina Antinao Diaz, Juan F. Siam, Ala’a Tappouni, Luke J. Asgarian, Zeinab Ng, Joanne Hanlon, Killian S. Lennon, Alexander McArdle, Andrew Czap, Agata Rosenheim, Joshua Andrade, Catarina Anderson, Glenn Lee, Jack C. D. Williams, Rachel Williams, Charlotte A. Tutill, Helena Bayzid, Nadua Martin Bernal, Luz Marina Macpherson, Hannah Montgomery, Kylie-Ann Moore, Catherine Templeton, Kate Neill, Claire Holden, Matt Gunson, Rory Shepherd, Samantha J. Shah, Priyen Cooray, Samantha Voice, Marie Steele, Michael Fink, Colin Whittaker, Thomas E. Santilli, Giorgia Gissen, Paul Kaufer, Benedikt B. Reich, Jana Andreani, Julien Simmonds, Peter Alrabiah, Dimah K. Castellano, Sergi Chikowore, Primrose Odam, Miranda Rampling, Tommy Houlihan, Catherine Hoschler, Katja Talts, Tiina Celma, Cristina Gonzalez, Suam Gallagher, Eileen Simmons, Ruth Watson, Conall Mandal, Sema Zambon, Maria Chand, Meera Hatcher, James De, Surjo Baillie, Kenneth Semple, Malcolm Gracie Bellos, Evangelos Broderick, Claire Channon-Wells, Samuel De, Tisham D’Souza, Giselle Elorrieta, Leire Estramiana Estrada-Rivadeneyra, Diego Galassini, Rachel Habgood-Coote, Dominic Hamilton, Shea Jackson, Heather Kavanagh, James Marjaneh, Mahdi Moradi Menikou, Stephanie Nichols, Samuel Nijman, Ruud Patel, Harsita Pennisi, Ivana Powell, Oliver Reid, Ruth Vito, Ortensia Whittaker, Elizabeth Wilson, Clare Womersley, Rebecca Abdulla, Amina Darnell, Sarah Mustafa, Sobia Georgiou, Pantelis Manzano, Jesus-Rodriguez Moser, Nicolas Carter, Michael Tibby, Shane Cohen, Jonathan Davis, Francesca Kenny, Julia Wellman, Paul White, Marie Fish, Matthew Jennings, Aislinn Shankar-Hari Fidler, Katy Agranoff, Dan Richmond, Vivien Seal, Matthew Faust, Saul Owen, Dan Ensom, Ruth McKay, Sarah Mondo, Diana Shaji, Mariya Schra Infection Immunity and Inflammation Department Great Ormond Street Institute of Child Health University College London London United Kingdom Section for Paediatrics Department of Infectious Diseases Faculty of Medicine Imperial College London London United Kingdom Department of Microbiology Virology and Infection Control Great Ormond Street Hospital for Children NHS Foundation Trust London United Kingdom Section of Virology Department of Infectious Diseases Faculty of Medicine Imperial College London London United Kingdom University College London Mass Spectrometry Science Technology Platform Division of Biosciences University College London London United Kingdom Histopathology Department Great Ormond Street Hospital for Children NHS Foundation Trust London United Kingdom Research Department of Targeted Intervention Division of Surgery and Interventional Science University College London London United Kingdom Division of Infection and Immunity University College London London United Kingdom Gene Transfer Technology Group EGA-Institute for Women’s Health University College London London United Kingdom Genetics and Genomic Medicine Department Great Ormond Street Institute of Child Health University College London London United Kingdom Department of Neurodegenerative Disease Queen Square Institute of Neurology University College London London United Kingdom Wales Specialist Virology Centre Public Health Wales Microbiology Cardiff University Hospital of Wales Cardiff United Kingdom Department of Medical Microbiology Edinburgh Royal Infirmary Edinburgh United Kingdom Public Health Agency Northern Ireland Belfast United Kingdom School of Medicine University of St. Andrews St. Andrews United Kingdom Public Health Scotland Edinburgh United Kingdom West of Scotland Specialist Virology Centre Glasgow United Kingdom Micropathology Ltd University of Warwick Science Park Coventry United Kingdom Molecular and Cellular Immunology Great Ormond Street Institute of C

Since its first identification in Scotland, over 1,000 cases of unexplained paediatric hepatitis in children have been reported worldwide, including 278 cases in the UK1. Here we report an investigation of 38 cases, 6... 详细信息

Since its first identification in Scotland, over 1,000 cases of unexplained paediatric hepatitis in children have been reported worldwide, including 278 cases in the UK¹. Here we report an investigation of 38 cases, 66 age-matched immunocompetent controls and 21 immunocompromised comparator participants, using a combination of genomic, transcriptomic, proteomic and immunohistochemical methods. We detected high levels of adeno-associated virus 2 (AAV2) DNA in the liver, blood, plasma or stool from 27 of 28 cases. We found low levels of adenovirus (HAdV) and human herpesvirus 6B (HHV-6B) in 23 of 31 and 16 of 23, respectively, of the cases tested. By contrast, AAV2 was infrequently detected and at low titre in the blood or the liver from control children with HAdV, even when profoundly immunosuppressed. AAV2, HAdV and HHV-6 phylogeny excluded the emergence of novel strains in cases. Histological analyses of explanted livers showed enrichment for T cells and B lineage cells. Proteomic comparison of liver tissue from cases and healthy controls identified increased expression of HLA class 2, immunoglobulin variable regions and complement proteins. HAdV and AAV2 proteins were not detected in the livers. Instead, we identified AAV2 DNA complexes reflecting both HAdV-mediated and HHV-6B-mediated replication. We hypothesize that high levels of abnormal AAV2 replication products aided by HAdV and, in severe cases, HHV-6B may have triggered immune-mediated hepatic disease in genetically and immunologically predisposed children. © 2023, The Author(s).

关键词： Clinical microbiology Paediatric research

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The repertoire of mutational signatures in human cancer (vol 578, pg 94, 2020)

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NATURE 2023年第7948期614卷 E41-E41页

作者： Alexandrov, Ludmil B. Kim, Jaegil Haradhvala, Nicholas J. Huang, Mi Ni Ng, Alvin Wei Tian Wu, Yang Boot, Arnoud Covington, Kyle R. Gordenin, Dmitry A. Bergstrom, Erik N. Islam, S. M. Ashiqul Lopez-Bigas, Nuria Klimczak, Leszek J. McPherson, John R. Morganella, Sandro Sabarinathan, Radhakrishnan Wheeler, David A. Mustonen, Ville Getz, Gad Rozen, Steven G. Stratton, Michael R. Department of Cellular and Molecular Medicine Department of Bioengineering Moores Cancer Center University of California San Diego CA USA Wellcome Sanger Institute Wellcome Genome Campus Hinxton UK Department of Cellular and Molecular Medicine and Department of Bioengineering University of California San Diego La Jolla CA USA UC San Diego Moores Cancer Center San Diego CA USA University of California San Diego San Diego CA USA Broad Institute of MIT and Harvard Cambridge MA USA Center for Cancer Research Massachusetts General Hospital Boston MA USA Massachusetts General Hospital Boston MA USA Department of Pathology Massachusetts General Hospital Boston MA USA Harvard Medical School Boston MA USA Laboratory for Medical Science Mathematics RIKEN Center for Integrative Medical Sciences Yokohama Japan Computational Biology Program Ontario Institute for Cancer Research Toronto ON Canada Programme in Cancer & Stem Cell Biology Duke-NUS Medical School Singapore Singapore Centre for Computational Biology Duke-NUS Medical School Singapore Singapore Programme in Cancer and Stem Cell Biology Duke-NUS Medical School Singapore Singapore Programme in Cancer and Stem Cell Biology Centre for Computational Biology Duke-NUS Medical School Singapore Singapore SingHealth Duke-NUS Institute of Precision Medicine National Heart Centre Singapore Singapore Singapore Cancer Science Institute of Singapore National University of Singapore Singapore Singapore Institute of Molecular and Cell Biology Singapore Singapore Laboratory of Cancer Epigenome Division of Medical Science National Cancer Centre Singapore Singapore Singapore Duke-NUS Medical School Singapore Singapore Human Genome Sequencing Center Baylor College of Medicine Houston TX USA Dan L. Duncan Cancer Center Baylor College of Medicine Houston TX USA Department of Molecular and Human Genetics Baylor College of Medicine Houston TX USA Genome Integrity and Structural Biology Laboratory National Ins

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Patterns of somatic structural variation in human cancer genomes (vol 578, pg 112, 2020)

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NATURE 2023年第7948期614卷 E38-E38页

作者： Li, Yilong Roberts, Nicola D. Wala, Jeremiah A. Shapira, Ofer Schumacher, Steven E. Kumar, Kiran Khurana, Ekta Waszak, Sebastian Korbel, Jan O. Haber, James E. Imielinski, Marcin Weischenfeldt, Joachim Beroukhim, Rameen Campbell, Peter J. Cancer Genome Project Wellcome Trust Sanger Institute Hinxton UK Totient Inc Cambridge MA USA Wellcome Sanger Institute Wellcome Genome Campus Hinxton UK Department of Haematology University of Cambridge Cambridge UK Cambridge University Hospitals NHS Foundation Trust Cambridge UK Korea Advanced Institute of Science and Technology Daejeon South Korea Department of Zoology Genetics and Physical Anthropology University of Santiago de Compostela Santiago de Compostela Spain Centre for Research in Molecular Medicine and Chronic Diseases (CIMUS) University of Santiago de Compostela Santiago de Compostela Spain The Biomedical Research Centre (CINBIO) University of Vigo Vigo Spain Centre for Research in Molecular Medicine and Chronic Diseases (CiMUS) Universidade de Santiago de Compostela Santiago de Compostela Spain Department of Zoology Genetics and Physical Anthropology (CiMUS) Universidade de Santiago de Compostela Santiago de Compostela Spain The Biomedical Research Centre (CINBIO) Universidade de Vigo Vigo Spain The Broad Institute of Harvard and MIT Cambridge MA USA Bioinformatics and Integrative Genomics Harvard University Cambridge MA USA Department of Cancer Biology Dana-Farber Cancer Institute Boston MA USA Broad Institute of MIT and Harvard Cambridge MA USA Department of Medical Oncology Dana-Farber Cancer Institute Boston MA USA Harvard Medical School Boston MA USA Massachusetts General Hospital Center for Cancer Research Charlestown MA USA Dana-Farber Cancer Institute Boston MA USA Department of Biostatistics and Computational Biology Dana-Farber Cancer Institute and Harvard Medical School Boston MA USA Weill Cornell Medical College New York NY USA Department of Physiology and Biophysics Weill Cornell Medicine New York NY USA Institute for Computational Biomedicine Weill Cornell Medicine New York NY USA Controlled Department and Institution New York NY USA Englander Institute for Precision Medicine Weill Cornell Medicine Ne

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PLUMED Tutorials: a collaborative, community-driven learning ecosystem

arXiv

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arXiv 2024年

作者： Tribello, Gareth A. Bonomi, Massimiliano Bussi, Giovanni Camilloni, Carlo Armstrong, Blake I. Arsiccio, Andrea Aureli, Simone Ballabio, Federico Bernetti, Mattia Bonati, Luigi Brookes, Samuel G.H. Faidon Brotzakis, Z. Capelli, Riccardo Ceriotti, Michele Chan, Kam-Tung Cossio, Pilar Dasetty, Siva Donadio, Davide Ensing, Bernd Ferguson, Andrew L. Fraux, Guillaume Gale, Julian D. Gervasio, Francesco Luigi Giorgino, Toni Herringer, Nicholas S.M. Hocky, Glen M. Hoff, Samuel E. Invernizzi, Michele Languin-Cattoën, Olivier Leone, Vanessa Limongelli, Vittorio Lopez-Acevedo, Olga Marinelli, Fabrizio Martinez, Pedro Febrer Masetti, Matteo Mehdi, Shams Michaelides, Angelos Murtada, Mhd Hussein Parrinello, Michele Piaggi, Pablo M. Pietropaolo, Adriana Pietrucci, Fabio Pipolo, Silvio Pritchard, Claire Raiteri, Paolo Raniolo, Stefano Rapetti, Daniele Rizzi, Valerio Rydzewski, Jakub Salvalaglio, Matteo Schran, Christoph Seal, Aniruddha Zadeh, Armin Shayesteh Silva, Tomás F.D. Spiwok, Vojtěch Stirnemann, Guillaume Sucerquia, Daniel Tiwary, Pratyush Valsson, Omar Vendruscolo, Michele Voth, Gregory A. White, Andrew D. Wu, Jiangbo Centre for Quantum Materials and Technology School of Mathematics and Physics Queen’s University Belfast United Kingdom Institut Pasteur Université Paris Cité CNRS UMR 3528 Computational Structural Biology Unit Paris France Via Bonomea 265 Trieste34136 Italy Department of Biosciences University of Milano Milano Italy School of Molecular and Life Sciences Curtin University GPO Box U1987 PerthWA6845 Australia Coriolis Pharma Fraunhoferstrasse 18b Martinsried82152 Germany School of Pharmaceutical Sciences University of Geneva Rue Michel-Servet 1 GenevaCH-1206 Switzerland Institute of Pharmaceutical Sciences of Western Switzerland University of Geneva GenevaCH-1206 Switzerland Swiss Bioinformatics Institute University of Geneva GenevaCH-1206 Switzerland Via Celoria 26 Milan20133 Italy Department of Biomolecular Sciences University of Urbino "Carlo Bo" Piazza Rinascimento 6 Urbino61029 Italy Department of Pharmacy and Biotechnology Alma Mater Studiorum University of Bologna Via Belmeloro 6 Bologna40126 Italy Atomistic Simulations Italian Institute of Technology Genova Italy Yusuf Hamied Department of Chemistry University of Cambridge CambridgeCB2 1EW United Kingdom Institute for Bioinnovation Biomedical Sciences Research Center "Alexander Fleming" Vari16672 Greece Laboratory of Computational Science and Modeling Institut des Matériaux École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland Department of Chemistry University of California Davis DavisCA95616 United States Center for Computational Mathematics Flatiron Institute New YorkNY10010 United States Center for Computational Biology Flatiron Institute New YorkNY10010 United States Pritzker School of Molecular Engineering University of Chicago ChicagoIL60637 United States AI4Science Lab Informatics Institute University of Amsterdam Science Park 904 Amsterdam1098 XH Netherlands Computational Chemistry Group Van’t Hoff Institute for Molecular Sciences Unive

In computational physics, chemistry, and biology, the implementation of new techniques in a shared and open source software lowers barriers to entry and promotes rapid scientific progress. However, effectively training new software users presents several challenges. Common methods like direct knowledge transfer and in-person workshops are limited in reach and comprehensiveness. Furthermore, while the COVID-19 pandemic highlighted the benefits of online training, traditional online tutorials can quickly become outdated and may not cover all the software’s functionalities. To address these issues, here we introduce "PLUMED Tutorials", a collaborative model for developing, sharing, and updating online tutorials. This initiative utilizes repository management and continuous integration to ensure compatibility with software updates. Moreover, the tutorials are interconnected to form a structured learning path and are enriched with automatic annotations to provide broader context. This paper illustrates the development, features, and advantages of PLUMED Tutorials, aiming to foster an open community for creating and sharing educational resources. © 2024, CC BY.

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Global, regional, and national incidence of six major immune-mediated inflammatory diseases: findings from the global burden of disease study 2019

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eClinicalMedicine 2023年 64卷 102193-102193页

作者： Wu, Dongze Jin, Yingzhao Xing, Yuhan Abate, Melsew Dagne Abbasian, Mohammadreza Abbasi-Kangevari, Mohsen Abbasi-Kangevari, Zeinab Abd-Allah, Foad Abdelmasseh, Michael Abdollahifar, Mohammad-Amin Abdulah, Deldar Morad Abedi, Aidin Abedi, Vida Abidi, Hassan Aboagye, Richard Gyan Abolhassani, Hassan Abuabara, Katrina Abyadeh, Morteza Addo, Isaac Yeboah Adeniji, Kayode Nelson Adepoju, Abiola Victor Adesina, Miracle Ayomikun Adnani, Qorinah Estiningtyas Sakilah Afarideh, Mohsen Aghamiri, Shahin Agodi, Antonella Agrawal, Anurag Arriagada, Constanza Elizabeth Aguilera Ahmad, Aqeel Ahmad, Danish Ahmad, Sohail Ahmadi, Ali Ahmed, Ayman Aithala, Janardhana P. Ajadi, Abdullateef Abiodun Ajami, Marjan Akbarzadeh-Khiavi, Mostafa Alahdab, Fares AlBataineh, Mohammad T. Alemi, Sharifullah Al-Gheethi, Adel Ali Saeed Ali, Liaqat Alif, Sheikh Mohammad Almazan, Joseph Uy Almustanyir, Sami Alqahtani, Jaber S. Alqasmi, Ibrahim Altaf, Ihsan Ullah Khan Alvis-Guzman, Nelson Alvis-Zakzuk, Nelson J. Al-Worafi, Yaser Mohammed Aly, Hany Amani, Reza Amu, Hubert Amusa, Ganiyu Adeniyi Andrei, Catalina Liliana Ansar, Adnan Ansariniya, Hossein Anyasodor, Anayochukwu Edward Arabloo, Jalal Arefnezhad, Reza Arulappan, Judie Asghari-Jafarabadi, Mohammad Ashraf, Tahira Atata, Jamila Abdulhamid Athari, Seyyed Shamsadin Atlaw, Daniel Atout, Maha Moh'd Wahbi Aujayeb, Avinash Awan, Asma Tahir Ayatollahi, Haleh Azadnajafabad, Sina Azzam, Ahmed Y. Badawi, Alaa Badiye, Ashish D. Bagherieh, Sara Baig, Atif Amin Bantie, Berihun Bantie Barchitta, Martina Bardhan, Mainak Barker-Collo, Suzanne Lyn Barone-Adesi, Francesco Batra, Kavita Bayileyegn, Nebiyou Simegnew Behnoush, Amir Hossein Belgaumi, Uzma Iqbal Bemanalizadeh, Maryam Bensenor, Isabela M. Beyene, Kebede A. Bhagavathula, Akshaya Srikanth Bhardwaj, Pankaj Bhaskar, Sonu Bhat, Ajay Nagesh Bitaraf, Saeid Bitra, Veera R. Boloor, Archith Bora, Kaustubh Botelho, João Silva Buchbinder, Rachelle Calina, Daniela Cámera, Luis Alberto Carvalho, Andre F. Chan, Jeffrey Shi Kai Chattu, Vijay Kumar Abebe, Endeshaw Chekol Department of Rheumatology and Immunology Sichuan Provincial People's Hospital School of Medicine University of Electronic Science and Technology of China China Department of Medicine & Therapeutics The Chinese University of Hong Kong Hong Kong Department of Paediatrics The Chinese University of Hong Kong Hong Kong School of Pharmacy The Chinese University of Hong Kong Hong Kong Jockey Club School of Public Health and Primary Care The Chinese University of Hong Kong Hong Kong Department of Nursing Woldia University Woldia Ethiopia Department of Orthopedic Surgery Harvard University Boston MA United States Postgraduate Medical Education Harvard University Boston MA United States Maternal Fetal Care Center Harvard University Boston MA United States Department of Health Policy and Oral Epidemiology Harvard University Boston MA United States Division of General Internal Medicine Harvard University Boston MA United States Department of Orthopaedic Surgery Shahid Beheshti University of Medical Sciences Tehran Iran Social Determinants of Health Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Biotechnology Shahid Beheshti University of Medical Sciences Tehran Iran Department of Epidemiology Shahid Beheshti University of Medical Sciences Tehran Iran National Nutrition and Food Technology Research Institute Shahid Beheshti University of Medical Sciences Tehran Iran Department of Immunology Shahid Beheshti University of Medical Sciences Tehran Iran Department of Neurology Shahid Beheshti University of Medical Sciences Tehran Iran Department of Medical Genetics Shahid Beheshti University of Medical Sciences Tehran Iran Center for Comprehensive Genetic Services Shahid Beheshti University of Medical Sciences Tehran Iran Cancer Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Health Economics and Statistics Shahid Beheshti University of Medical Sciences Tehran Iran Functional Neuro

Background: The causes for immune-mediated inflammatory diseases (IMIDs) are diverse and the incidence trends of IMIDs from specific causes are rarely studied. The study aims to investigate the pattern and trend of IMIDs from 1990 to 2019. Methods: We collected detailed information on six major causes of IMIDs, including asthma, inflammatory bowel disease, multiple sclerosis, rheumatoid arthritis, psoriasis, and atopic dermatitis, between 1990 and 2019, derived from the Global Burden of Disease study in 2019. The average annual percent change (AAPC) in number of incidents and age standardized incidence rate (ASR) on IMIDs, by sex, age, region, and causes, were calculated to quantify the temporal trends. Findings: In 2019, rheumatoid arthritis, atopic dermatitis, asthma, multiple sclerosis, psoriasis, inflammatory bowel disease accounted 1.59%, 36.17%, 54.71%, 0.09%, 6.84%, 0.60% of overall new IMIDs cases, respectively. The ASR of IMIDs showed substantial regional and global variation with the highest in High SDI region, High-income North America, and united States of America. Throughout human lifespan, the age distribution of incident cases from six IMIDs was quite different. Globally, incident cases of IMIDs increased with an AAPC of 0.68 and the ASR decreased with an AAPC of −0.34 from 1990 to 2019. The incident cases increased across six IMIDs, the ASR of rheumatoid arthritis increased (0.21, 95% CI 0.18, 0.25), while the ASR of asthma (AAPC = −0.41), inflammatory bowel disease (AAPC = −0.72), multiple sclerosis (AAPC = −0.26), psoriasis (AAPC = −0.77), and atopic dermatitis (AAPC = −0.15) decreased. The ASR of overall and six individual IMID increased with SDI at regional and global level. Countries with higher ASR in 1990 experienced a more rapid decrease in ASR. Interpretation: The incidence patterns of IMIDs varied considerably across the world. Innovative prevention and integrative management strategy are urgently needed to mitigate the increasing ASR of rh

关键词： Global burden of disease study Immune-mediated inflammatory disease Incidence Trend

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