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Author Correction: The power of genetic diversity in genome-wide association studies of lipids

Nature 2023年第7965期618卷 E19-E20页

作者： Sarah E Graham Shoa L Clarke Kuan-Han H Wu Stavroula Kanoni Greg J M Zajac Shweta Ramdas Ida Surakka Ioanna Ntalla Sailaja Vedantam Thomas W Winkler Adam E Locke Eirini Marouli Mi Yeong Hwang Sohee Han Akira Narita Ananyo Choudhury Amy R Bentley Kenneth Ekoru Anurag Verma Bhavi Trivedi Hilary C Martin Karen A Hunt Qin Hui Derek Klarin Xiang Zhu Gudmar Thorleifsson Anna Helgadottir Daniel F Gudbjartsson Hilma Holm Isleifur Olafsson Masato Akiyama Saori Sakaue Chikashi Terao Masahiro Kanai Wei Zhou Ben M Brumpton Humaira Rasheed Sanni E Ruotsalainen Aki S Havulinna Yogasudha Veturi QiPing Feng Elisabeth A Rosenthal Todd Lingren Jennifer Allen Pacheco Sarah A Pendergrass Jeffrey Haessler Franco Giulianini Yuki Bradford Jason E Miller Archie Campbell Kuang Lin Iona Y Millwood George Hindy Asif Rasheed Jessica D Faul Wei Zhao David R Weir Constance Turman Hongyan Huang Mariaelisa Graff Anubha Mahajan Michael R Brown Weihua Zhang Ketian Yu Ellen M Schmidt Anita Pandit Stefan Gustafsson Xianyong Yin Jian'an Luan Jing-Hua Zhao Fumihiko Matsuda Hye-Mi Jang Kyungheon Yoon Carolina Medina-Gomez Achilleas Pitsillides Jouke Jan Hottenga Gonneke Willemsen Andrew R Wood Yingji Ji Zishan Gao Simon Haworth Ruth E Mitchell Jin Fang Chai Mette Aadahl Jie Yao Ani Manichaikul Helen R Warren Julia Ramirez Jette Bork-Jensen Line L Kårhus Anuj Goel Maria Sabater-Lleal Raymond Noordam Carlo Sidore Edoardo Fiorillo Aaron F McDaid Pedro Marques-Vidal Matthias Wielscher Stella Trompet Naveed Sattar Line T Møllehave Betina H Thuesen Matthias Munz Lingyao Zeng Jianfeng Huang Bin Yang Alaitz Poveda Azra Kurbasic Claudia Lamina Lukas Forer Markus Scholz Tessel E Galesloot Jonathan P Bradfield E Warwick Daw Joseph M Zmuda Jonathan S Mitchell Christian Fuchsberger Henry Christensen Jennifer A Brody Mary F Feitosa Mary K Wojczynski Michael Preuss Massimo Mangino Paraskevi Christofidou Niek Verweij Jan W Benjamins Jorgen Engmann Rachel L Kember Roderick C Slieker Ken Sin Lo Nuno R Zilhao Phuong Le Marcus E Kleber Graciela E Delgado Shaofeng Huo Dai Department of Internal Medicine Division of Cardiology University of Michigan Ann Arbor MI USA. VA Palo Alto Health Care System Palo Alto CA USA. Department of Medicine Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA. Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor MI USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Department of Biostatistics and Center for Statistics Genetics University of Michigan Ann Arbor MI USA. Department of Genetics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Clinical Pharmacology William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK. Endocrinology Boston Children's Hospital Boston MA USA. Medical and Population Genetics Broad Institute Cambridge MA USA. Department of Genetic Epidemiology University of Regensburg Regensburg Germany. McDonnell Genome Institute and Department of Medicine Washington University St Louis MO USA. Department of Precision Medicine Division of Genome Science National Institute of Health Cheongju-si South Korea. Tohoku Medical Megabank Organization Tohoku University Sendai Japan. Sydney Brenner Institute for Molecular Bioscience Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa. Center for Research on Genomics and Global Health National Human Genome Research Institute National Institutes of Health Bethesda MD USA. Blizard Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Wellcome Sanger Institute Hinxton UK. Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA. Atlanta VA Health Care System Decatur GA USA. Malcolm Randall VA Medical Center Gainesville FL USA. Division of Vascular Sur

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Search algorithms for the maximum power point on photovoltaic panels

Search algorithms for the maximum power point on photovoltai...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Dragos-Viorel Balan Crina-Loredana Torous Dumitru Popescu Dorel-Bogdan Balan Department of Automatic Control and Systems Engineering Faculty of Automatic Control and Computer Science UPB Bucharest Romania Department of Automatic Control and Systems Engineering UPB Bucharest Romania

The paper presents the results obtained by the authors during the research done on the efficient usage of photovoltaic panels and proposes performant numerical methods for the estimation of the maximum power point (MPP). The P(U) and P(I,U) models are computed for the BGSP - P225 solar panel model. For the first model, P(U), the paper proposes a polynomial interpolation search algorithm and for the P(I,U) model an optimal gradient algorithm, respectively. The performances obtained with these methods are evaluated and the main results are commented. The implementation of the search algorithms for the maximum power point is important for the computation of the set point given to the control systems, which control the photovoltaic panel, in order to obtain optimal photovoltaic generated power.

关键词： Mathematical model Photovoltaic systems Computational modeling Approximation algorithms Photovoltaic cells Integrated circuit modeling

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Aberration Correction Techniques in Imaging systems Using Adaptive Optics for Fluorescence Microscopy

Aberration Correction Techniques in Imaging Systems Using Ad...

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International Conference on control systems and computer science (CSCS)

作者： Carmen-Gabriela Radulescu Alina Voda Dan Stefanoiu Romania Faculty of Automatic Control and Computer Science Politehnica University of Bucharest GIPSA-lab Control Systems Department Joseph Fourier University France

The aim of this article is to develop optical aberration correcting methods using adaptive optics for co focal microscopy in imaging systems. In order to compensate the aberrations, a dynamic element, consisting of a deformable mirror, was used. The correction is performed by controlling the surface of the deformable mirror, in order to improve the overall system image resolution. Moreover, the wave front sensor less system case was considered. By combining the automatic control algorithms with the physics laws, quite accurate estimations can be obtained, while testing several different scenarios.

关键词： Customer relationship management Adaptive optics Optimized production technology Mathematical model Optical sensors Mirrors Optical imaging

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Towards general results on singular boundary value problem for second order ODEs with power type nonlinearity and two fixed singularities

Towards general results on singular boundary value problem f...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Radosław Antoni Kycia Invited Session “Control and Optimization of Infinite Dimensional Systems” Faculty of Physics Mathematics and Computer Science Kraków Poland

An example of a simple second order ordinary differential equation with power type nonlinearity that possesses two finite fixed singular points is presented. Around these points there are local analytic solutions. These two solutions can be used to construct global analytic solution that connects these two singular points. Some concepts and motivation to general theory of a wider class of the equations that is based on results of papers [2] and [9] will be presented.

关键词： Mathematical model Convergence Differential equations Propagation Spirals computer science

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Core losses model of switched reluctance motor

Core losses model of switched reluctance motor

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Selected Problems of Electrical Engineering and Electronics (WZEE)

作者： Mirosław Wciślik Karol Suchenia Faculty of Electrical Engineering Division of Devices and Systems in Automatic Control Kielce Poland Faculty of Electrical Engineering Automatic Control and Computer Science Kielce University of Technology Kielce Poland

The paper deals with a mathematical model of switched reluctance motor, with stator of on induction motor. The parameters of this model were determined experimentally. The motor winding were supplied from different frequencies AC voltage source. Based on the measurements of current and voltage equivalent resistance and inductance of motor windings as a function of frequency were determined using the least squares method. The measurements for different rotation angle of the rotor were carried out. The measured resistance value was significantly higher than the value of the winding resistance because of “iron losses”. The losses are modeled as the losses of a single turn wound on the rotor core, representing the eddy currents circuit. The losses are dependent on the angle of the rotor rotation relative to the stator. Based on the relationship between the equivalent inductance and resistance of the motor measured and specified of the model, the parameters were determined.

关键词： Reluctance motors Mathematical model Windings Resistance Induction motors Radio frequency Magnetic cores

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Data-driven Property Verification of Grey-box systems by Bayesian Experiment Design

Data-driven Property Verification of Grey-box Systems by Bay...

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American control Conference

作者： S. Haesaert P.M.J. Van den Hof A. Abate Control Systems group in the Faculty of Electrical Engineering Eindhoven University of Technology The Netherlands Department of Computer Science Oxford University UK

ISBN: (纸本)9781479917730

A measurement-based statistical verification approach is developed for systems with partly unknown dynamics. These grey-box systems are subject to identification experiments which, new in this contribution, enable accepting or rejecting system properties expressed in a linear-time logic. We employ a Bayesian framework for the computation of a confidence level on the properties and for the design of optimal experiments. Applied to dynamical systems, this work enables data-driven verification of partly-known system dynamics with controllable non-determinism (inputs) and noisy output observations. A numerical case study concerning the safety of a dynamical system is used to elucidate this data-driven and model-based verification technique.

关键词： data driven Verification DYNAMICAL systems Bayesian inference System dynamics box system

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Publisher Correction: Transcriptomic alterations during ageing reflect the shift from cancer to degenerative diseases in the elderly

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Nature communications 2019年第1期10卷 2459页

作者： Peer Aramillo Irizar Sascha Schäuble Daniela Esser Marco Groth Christiane Frahm Steffen Priebe Mario Baumgart Nils Hartmann Shiva Marthandan Uwe Menzel Jule Müller Silvio Schmidt Volker Ast Amke Caliebe Rainer König Michael Krawczak Michael Ristow Stefan Schuster Alessandro Cellerino Stephan Diekmann Christoph Englert Peter Hemmerich Jürgen Sühnel Reinhard Guthke Otto W Witte Matthias Platzer Eytan Ruppin Christoph Kaleta Research Group Medical Systems Biology Institute of Experimental Medicine Christian-Albrechts-University Kiel D-24105 Kiel Germany. Jena University Language and Information Engineering Lab Friedrich-Schiller-University Jena D-07743 Jena Germany. GerontoSys JenAge Consortium D-07745 Jena Germany. Genome Analysis Lab Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Hans Berger Department of Neurology Jena University Hospital D-07747 Jena Germany. Systems Biology and Bioinformatics Group Leibniz Institute for Natural Product Research and Infection Biology-Hans-Knöll-Institute D-07745 Jena Germany. Biology of Ageing Lab Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Molecular Genetics Lab Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Imageing Facility Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Integrated Research and Treatment Center Center for Sepsis Control and Care (CSCC) Jena University Hospital D-07747 Jena Germany. Network Modeling Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute D-07745 Jena Germany. Institute for Medical Informatics and Statistics Christian-Albrechts-University Kiel D-24105 Kiel Germany. Energy Metabolism Laboratory Swiss Federal Institute of Technology (ETH) Zurich Schwerzenbach/Zürich CH-8603 Switzerland. Department of Bioinformatics Friedrich-Schiller-University Jena D-07743 Jena Germany. Laboratory of Neurobiology Scuola Normale Superiore University of Pisa I-56100 Pisa Italy. Molecular Biology Lab Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Faculty of Biology and Pharmacy Friedrich-Schiller-University Jena D-07743 Jena Germany. Biocomputing Lab Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Department of Computer Science and Center for Bioinformatics and Computational Biology University of Maryland College Park M

The original version of this Article contained an error in the spelling of the author Jule Müller, which was incorrectly given as Julia Müller. Additionally, in Fig. 4a, the blue-red colour scale for fold change in ageing/disease regulation included a blue stripe in place of a red stripe at the right-hand end of the scale. These errors have been corrected in both the PDF and HTML versions of the Article.

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROscience 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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A robust dynamic controller with observer for the tracking of a ZMP reference trajectory: A biped robot's walking under constraints

A robust dynamic controller with observer for the tracking o...

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World Symposium on Mechatronics Engineering & Applied Physics (WSMEAP)

作者： Mohamed Adel Sellami Imen Dakhli Elyes Maherzi Mongi Besbes Laboratory of Analysis Conception and Control of Systems Faculty of sciences of Tunis University of EI Manar Tunisia Unity of Mechatronic systems and signals High School of Technology and Computer Science University of Carthage Tunisia

In this work, we propose a novel robust dynamic controller in order to stabilize a walking biped robot with input and output constraints. Firstly, the trajectory of the robot is generated via the Zero Moment Point method based on the resolution of a convex optimization problem with Linear Matrix Inequalities. Then, the tracking of a referential trajectory is insured by the design of an optimal dynamic controller with predictive control theory. The synthesized dynamic controller allows the Lyapunov stability of the robot's walk. Moreover, it ensures the reducing of the overshoot and undershoot of the output signal, difficult to be adjusted by classical methods. This work is validated by a simulation via Matlab of some illustrative examples and results highlight the efficiency of the proposed study.

关键词： Robustness Legged locomotion Trajectory Observers Predictive control

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Optimal Placement of the Distribution Substations to Improve Reliability Under Load Growth

Optimal Placement of the Distribution Substations to Improve...

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IEEE Power and Energy Society General Meeting

作者： M. R. Haghifam M. Esmaeeli A. Kazemi H. Shayanfar Faculty of Electrical and Computer Engineering Tarbiat Modares University Center of Excellence for Power Systems Control and Operation Department of Electrical Engineering Iran University of Science and Technology

ISBN: (纸本)9781467380416

In this paper, an approach is proposed for planning distribution networks in which the placement of distribution transformer is optimally planned. The size, number, and placement of distribution transformers are optimally determined in order to improve system reliability and to minimize the losses under load growth. An objective function is constituted, composed of the investment cost, maintenance cost, loss cost, and reliability cost. The reliability worth is not usually considered in the optimization of the distribution substation placement. However, it may be effective on the planning problem. The proposed approach is applied to a test system consisting of 42 electric load points. It is observed that the considering reliability in the planning approach reduces the total cost of the distribution transformer placement. However, the associated investment cost is increased but the reliability cost is more decreased.

关键词： Distribution Planning Load Growth Mixed Integer Nonlinear Programming (MINLP) Reliability Transformer

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