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Brain based BMIgap as a new tool to correlate obesity and neural alterations – a multicohort study

Neuroscience Applied 2022年 1卷

作者： A. Khuntia R. Paul O.A. Andreassen F. Degenhard R. Eils J. Erdmann C. Herrmann M. Hofmann-Apitius T. Kaufmann A.T. Kodamullil S. Mucha M.M. Nöthen M.L. Pedersen A. Quintero H. Schunkert A. Sharma H. Tost L.T. Westlye Y. Zhang J. Kambeitz N. Koutsouleris 1Department of Psychiatry and Psychotherapy- Ludwig-Maximilian-University Psychiatry Munich Germany 2Max Plank Institute of Psychiatry Psychiatry Munich Germany 3Department of Psychiatry and Psychotherapy- Ludwig-Maximilian-University- Munich- Germany Department of Psychiatry and Psychotherapy München Germany 4Norwegian Centre for Mental Disorders Research NORMENT Division of Mental Health and Addiction Oslo Norway 5Institute of Human Genetics- University of Bonn School of Medicine Bonn Germany 6Health Data Science Unit Heidelberg University Hospital- and BioQuant Heidelberg Germany 7Institute for Cardiogenetics University of Lübeck Lübeck Germany 8Heidelberg University Hospital- and BioQuant Health Data Science Unit Heidelberg Germany 9Fraunhofer Institute for Algorithms and Scientific Computing SCAI Bioinformatics Sankt Augustin Germany 10Fraunhofer Institute for Algorithms and Scientific Computing SCAI- Bioinformatics Sankt Augustin Germany 11Institute for Cardiogenetics- University of Lübeck- DZHK Cardiogenetics Lübeck Germany 12Institute of Human Genetics- University of Bonn Human Genetics Bonn Germany 13University of Oslo Department of Psychology Oslo Norway 14Deutsches Herzzentrum München- Technische Universität München Department of Cardiology Munich Germany 15Heidelberg University Hospital- and BioQuant Health Data Science Unit- Heidelberg Germany 16Central Institute of Mental Health Department of Psychiatry and Psychotherapy- Mannheim Germany 17University of Cologne Department of Psychiatry and Psychotherapy- Cologne Germany 18University of Turku Department of Psychiatry- Turku Finland 19Neuroscience and Sense Organs- University of Bari Aldo Moro Department of Basic Medical Science Bari Italy 20Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico Department of Neurosciences and Mental Health Milano Italy 21Institute of Mental Health- University of Birmingham Psychiatry Birmingham United Kingdom 22University of Birmingham School of Psyc

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Sparse grids and applications : Stuttgart 2014 /

引用

2016年

作者： Workshop on Sparse Grids and Applications

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The octet rule in chemical space: generating virtual molecules

arXiv

引用

arXiv 2017年

作者： Hamaekers, Rafel Maaß, Astrid Hamaekers, Jan Fraunhofer Institute Algorithms and Scientific Computing SCAI Schloss Birlinghoven Sankt AugustinD-53754 Germany

We present a generator of virtual molecules that selects valid chem- istry on the basis of the octet rule. Also, we introduce a mesomer group key that allows a fast detection of duplicates in the generated *** to existing approaches, our model is simpler and faster, generates new chemistry and avoids invalid chemistry. Its versatility is illustrated by the correct generation of molecules containing third-row elements and a surprisingly adept handling of complex boron chem- *** any empirical parameters, our model is designed to be valid also in unexplored regions of chemical space. One first unex- pected finding is the high prevalence of dipolar structures among gen- erated molecules. Copyright © 2017, The Authors. All rights reserved.

关键词： Molecules

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Ten new insights in climate science 2024

One Earth

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One Earth 2025年

作者： Schaeffer, Roberto Schipper, E. Lisa F. Ospina, Daniel Mirazo, Paula Alencar, Ane Anvari, Mehrnaz Artaxo, Paulo Biresselioglu, Mehmet Efe Blome, Tanja Boeckmann, Melanie Brink, Ebba Broadgate, Wendy Bustamante, Mercedes Cai, Wenju Canadell, Josep G. Cardinale, Roberto Chidichimo, Maria Paz Ditlevsen, Peter Eicker, Ursula Feron, Sarah Fikru, Mahelet G. Fuss, Sabine Gaye, Amadou T. Gustafsson, Örjan Harring, Niklas He, Cheng Hebden, Sophie Heilemann, Adrian Hirota, Marina Janardhanan, Nandakumar Juhola, Sirkku Jung, Tae Yong Kejun, Jiang Kilkiș, Şiir Kumarasinghe, Nilushi Lapola, David Lee, June-Yi Levis, Carolina Lusambili, Adelaide Maasakkers, Joannes D. MacIntosh, Claire Mahmood, Jemilah Mankin, Justin S. Marchegiani, Pía Martin, Maria Mukherji, Aditi Muñoz-Erickson, Tischa A. Niazi, Zeenat Nyangon, Joseph Pandipati, Santosh Perera, Amarasinghage T.D. Persad, Geeta Persson, Åsa Redman, Aaron Riipinen, Ilona Rockström, Johan Roffe, Sarah Roy, Joyashree Sakschewski, Boris Samset, Bjørn H. Schlosser, Peter Sharifi, Ayyoob Shih, Wan-Yu Sioen, Giles B. Sokona, Youba Stammer, Detlef Suk, Sunhee Thiam, Djiby Thompson, Vikki Tullos, Erin van Westen, René M. Vargas Falla, Ana Maria Vecellio, Daniel J. Worden, John Wu, Henry C. Xu, Chi Yang, Yang Zachariah, Mariam Zhang, Zhen Ziervogel, Gina Federal University of Rio de Janeiro Rio de Janeiro Brazil University of Bonn Bonn Germany Future Earth Secretariat Stockholm Sweden Arizona State University Tempe AZ United States Amazon Environmental Research Institute (IPAM) Brasilia Brazil Fraunhofer Institute for Algorithms and Scientific Computing SCAI St. Augustin Germany Potsdam Institute for Climate Impact Research (PIK) Potsdam Germany University of São Paulo São Paulo Brazil İzmir University of Economics İzmir Turkey Climate Service Center Germany (GERICS) Helmholtz-Zentrum Hereon Hamburg Germany University of Bremen Bremen Germany Lund University Lund Sweden University of Brasilia Brasilia Brazil Ocean University of China Qingdao China Xiamen University Xiamen China Commonwealth Scientific and Industrial Research Organisation (CSIRO) Environment Canberra ACT Australia University College London London United Kingdom National Scientific and Technical Research Council (CONICET) Buenos Aires Argentina National University of San Martin Buenos Aires Argentina University of Copenhagen Copenhagen Denmark Concordia University Montreal QC Canada University of Groningen Groningen Netherlands Missouri University of Science and Technology Rolla MO United States Mercator Research Institute on Global Commons and Climate Change (MCC) Berlin Germany Humboldt-University of Berlin Berlin Germany Cheikh Anta Diop University Dakar Senegal Stockholm University Stockholm Sweden University of Gothenburg Gothenburg Sweden Institute of Epidemiology Helmholtz Zentrum München—German Research Center for Environmental Health (GmbH) Neuherberg Germany European Space Agency (ESA) - European Centre for Space Applications and Telecommunications (ECSAT) Oxford United Kingdom Federal University of Santa Catarina Florianopolis Brazil Institute for Global Environmental Strategies (IGES) Hayama Japan University of Helsinki Helsinki Finland Yonsei University Graduate Seoul South Korea Chinese Academy of Macroeconomic

The years 2023 and 2024 were characterized by unprecedented warming across the globe, underscoring the urgency of climate action. Robust science advice for decision makers on subjects as complex as climate change requires deep cross- and interdisciplinary understanding. However, navigating the ever-expanding and diverse peer-reviewed literature on climate change is enormously challenging for individual researchers. We elicited expert input through an online questionnaire (188 respondents from 45 countries) and prioritized 10 key advances in climate-change research with high policy relevance. The insights span a wide range of areas, from changes in methane and aerosol emissions to the factors shaping citizens’ acceptance of climate policies. This synthesis and communications effort forms the basis for a science-policy report distributed to party delegations ahead of the 29th session of the Conference of the Parties (COP29) to inform their positions and arguments on critical issues, including heat-adaptation planning, comprehensive mitigation strategies, and strengthened governance in energy-transition minerals value chains. © 2025 The Authors

关键词： adaptation climate policy climate science governance just transition mitigation resilience science policy

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A knowledge-based surrogate modeling approach for cup drawing with limited data

引用

IOP Conference Series: Materials Science and Engineering 2019年第1期651卷

作者： L Morand D Helm R Iza-Teran J Garcke Fraunhofer Institute for Mechanics of Materials IWM Wöhlerstraße 11 Freiburg 79108 Germany Fraunhofer Center for Machine Learning and Institute for Algorithms and Scientific Computing SCAI Schloss Birlinghoven Sankt Augustin 53754 Germany Institute for Numerical Simulations University of Bonn Endenicher Allee 19b Bonn 53115 Germany

To predict the quality of a process outcome with given process parameters in real-time, surrogate models are often adopted. A surrogate model is a statistical model that interpolates between data points obtained either by process measurements or deterministic models of the process. However, in manufacturing processes the amount of useful data is often limited, and therefore setting up a sufficiently accurate surrogate model is challenging. The present contribution shows how to handle limited data in a surrogate modeling approach using the example of a cup drawing process. The purpose of the surrogate model is to classify the quality of the drawn cup and to predict its final geometry. These classification and regression tasks are solved via machine learning methods. The training data is sampled on a relatively wide range varying three parameters of a finite element simulation, namely sheet metal thickness, blank holder force, and friction. The geometrical features of the cup are extracted using domain knowledge. Besides this knowledge-based approach, an outlook is given for a data-driven surrogate modeling approach.

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Static spherically symmetric solutions of Einstein field equations with radial dark matter

arXiv

引用

arXiv 2017年

作者： Nikitin, Igor Department of High Performance Analytics Fraunhofer Institute for Algorithms and Scientific Computing Schloss Birlinghoven Sankt Augustin53757 Germany

We study a static spherically symmetric problem with a black hole and radially directed geodesic flows of dark matter. The obtained solutions have the following properties. At large distances, the gravitational field produces constant velocities of circular motion, i.e., flat rotation curves. At smaller distances, the field switches to Newtonian regime, then to Schwarzschild regime. Deviations from Schwarzschild regime start below the gravitational radius. The dark matter prevents the creation of event horizon, instead, a spherical region possessing extremely large redshift is created. The structure of space-time for the obtained solutions is investigated and the implications for the models of the galaxies are discussed. Copyright © 2017, The Authors. All rights reserved.

关键词： Gravitation

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Wormhole solutions of RDM model

arXiv

引用

arXiv 2017年

作者： Nikitin, Igor Department of High Performance Analytics Fraunhofer Institute for Algorithms and Scientific Computing Schloss Birlinghoven Sankt Augustin53757 Germany

The model of a spiral galaxy with radially directed flows of dark matter is extended by exotic matter, in a form of a perfect fluid with a linear anisotropic equation of state. The exotic matter is collected in the minimum of gravitational potential and opens a wormhole in the center of the galaxy. The flows of dark matter pass through the wormhole and form a mirror galaxy on the other side. The influence of model parameters to the shape of solution is studied, a solution matching parameters of Milky Way galaxy is computed. Copyright © 2017, The Authors. All rights reserved.

关键词： Galaxies

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Kernel-based stochastic collocation for the random two-phase navier-stokes equations

arXiv

引用

arXiv 2018年

作者： Griebel, M. Rieger, C. Zaspel, P. Institute for Numerical Simulation Bonn University Endenicher Allee 19b BonnD-53115 Fraunhofer Institute for Algorithms and Scientific Computing Scai Schloss Birlinghoven Sankt AugustinD-53754 Department of Mathematics Rwth Aachen University Schinkelstr. 2 AachenD-52062 Department of Mathematics and Computer Science University of Basel Spiegelgasse 1 Basel4051

In this work, we apply stochastic collocation methods with radial kernel basis functions for an uncertainty quantification of the random incompressible two-phase Navier-Stokes equations. Our approach is non-intrusive and we use the existing fluid dynamics solver NaSt3DGPF to solve the incompressible two-phase Navier-Stokes equation for each given realization. We are able to empirically show that the resulting kernel-based stochastic collocation is highly competitive in this setting and even outperforms some other standard methods. Copyright © 2018, The Authors. All rights reserved.

关键词： Viscous flow

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Publisher Correction: ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases

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npj Systems Biology and Applications 2019年第1期5卷 1页

作者： Daniel Domingo-Fernández Charles Tapley Hoyt Carlos Bobis-Álvarez Josep Marín-Llaó Martin Hofmann-Apitius Department of Bioinformatics Fraunhofer Institute for Algorithms and Scientific Computing Sankt Augustin Germany Bonn-Aachen International Center for IT Rheinische Friedrich-Wilhelms-Universität Bonn Bonn Germany Faculty of Medicine and Health Sciences University of Oviedo Oviedo Spain Rovira i Virgili University Tarragona Spain

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Sparse Grids and Applications - Munich 2012

引用

2016年

作者： Jochen Garcke Dirk Pflger

ISBN: (纸本)9783319381534

Sparse grids have gained increasing interest in recent years for the numerical treatment of high-dimensional problems. Whereas classical numerical discretization schemes fail in more than three or four dimensions, sparse grids make it possible to overcome the curse of dimensionality to some degree, extending the number of dimensions that can be dealt with. This volume of LNCSE collects the papers from the proceedings of the second workshop on sparse grids and applications, demonstrating once again the importance of this numerical discretization scheme. The selected articles present recent advances on the numerical analysis of sparse grids as well as efficient data structures, and the range of applications extends to uncertainty quantification settings and clustering, to name but a few examples.

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