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arXiv 2022年

作者： Fečkan, Michal Kostić, Marko Velinov, Daniel Department of Mathematical Analysis and Numerical Mathematics Faculty of Mathematics Physics and Informatics Comenius University Slovakia Mathematical Institute Slovak Academy of Sciences Štefánikova 49 Bratislava814 73 Slovakia Faculty of Technical Sciences University of Novi Sad Trg D. Obradovića 6 Novi Sad21125 Serbia Department for Mathematics Faculty of Civil Engineering Ss. Cyril and Methodius University Partizanski Odredi 24 P.O. box 560 Skopje1000 Macedonia

In this paper, we investigate the existence and uniqueness of (ω, ρ)periodic solutions for a class of the abstract impulsive integro-differential equations on Banach *** Codes 34A37, 34C25, 34C27 © 2022, CC BY.

关键词： Banach spaces

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New unconditionally stable staggered solution procedures for coupled soil-pore fluid dynamic problems

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International Journal for numerical methods in engineering 1999年第6期43卷

作者： Maosong Huang O. C. Zienkiewicz Department of Civil Engineering McMaster University Hamilton Ontario Canada L8S 4L7 Institute for Numerical Methods in Engineering University of Wales Swansea Swansea SA2 8PP U.K.

A new class of unconditionally stable staggered implicit–implicit time-stepping algorithms for coupled soil-pore fluid dynamic problems is presented. The proposed schemes are stabilized with a pressure correction method and the staggered procedure introduced earlier by the second author is a simplified case of the new algorithms. The stabilized procedure is efficient in numerical time domain analysis of soil-pore fluid interaction occurring in earthquake and consolidation problems. Several examples of linear and non-linear problems demonstrate the stability and accuracy of the proposed numerical solution algorithms. © 1998 John Wiley & Sons, Ltd.

关键词： soil-pore fluid interaction staggered solution finite elements

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Implicit large-Eddy simulation with a moving least squares-based finite volume method

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IOP Conference Series: Materials Science and engineering 2010年第1期10卷

作者： Xesús Nogueira Sofiane Khelladi Luis Cueto-Felgueroso Farid Bakirt Ignasi Colominas Héctor Gómez Group of Numerical Methods in Engineering (GMNI) Department of Applied mathematics Civil Engineering School Universidade da Coruña Campus de Elviña 15071 A Coruña Spain Laboratoire de Dynamique des Fluides (DynFluid) Arts et Métiers ParisTech 151 boulevard de l'Hôpital 75013 Paris France Department of Civil and Environmental Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA

In this contribution we present the application of a numerical method based on a mesh free interpolation technique (Moving Least-Squares (MLS)) in a finite volume framework to the computation of turbulent flows. Our approach is based on the monotonically implicit Large Eddy Simulation (MILES). The main idea of MILES methodology is the absence of any explicit subgrid scale (SGS) model in the numerical algorithm to solve turbulent flows. As MLS approximations are used to compute the gradients and higher-order derivatives, the parameters of the kernel function plays a crucial role on the properties of the numerical scheme, particularly on the dispersion and dissipation of the method. This allows us to define an implicit filter that acts as a SGS model in turbulence computations. We present the results for the decay of compressible isotropic turbulence, which are very promising, and the our first results computing turbulence flows in presence of walls.

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Digital heuristic paradigm of research and development work in the conditions of university 2

Digital heuristic paradigm of research and development work ...

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2nd International Scientific Conference on Metrological Support of Innovative Technologies, ICMSIT II-2021

作者： Kosnikova, O.V. Munister, V.D. Zolkin, A.L. Yudanov, P.M. Ozhiganov, V.E. Department of Economic Cybernetics Federal State Budgetary Educational Institution of Higher Education Kuban State Agrarian University Named after I.T. Trubilin KalininaStreet 13 Krasnodar350044 Russia Department of Mathematical Methods and Computer-Aided Design Private Educational Institution Donetsk Academy of Transport Dzerzhinsky Street 7 Donetsk83086 Ukraine Department of Enterprise Economics State Educational Institution of Higher Professional Education Donetsk National Technical University Shibankova Street 2 Pokrovsk Donetsk region85300 Ukraine Computer and Information Sciences Department Povolzhskiy State University of Telecommunications and Informatics L.Tolstogo Street 23 Samara443010 Russia Natural Sciences Department Private Institution of Higher Education Medical University Reaviz Chapaevskaya Street 227 Samara443001 Russia Chemistry and Material Sciences Department Civil Defence Academy of Emercom of Russia Novogorskdstr. Khimki Moscow region141435 Russia Engineering Department 2 Russian Federal Nuclear Centerall Russian Research Institute of Experimental PhysicsFSUE Rfnc - Vniief Mira Ave 37 Sarov Nizhny Novgorod region607188 Russia

The article discusses the model of a digital university. The author's paradigm of research and design work, based on the student social network model, is researched, the scientometric and heuristic aspects of the proposed system functioning are determined. The role and general significance of the proposed methodology is indicated. A schematic diagram of the reduction to the proposed digital paradigm is given. The application of the model and its transparency are substantiated. © Published under licence by IOP Publishing Ltd.

关键词： Schematic diagrams

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Shooting-projection method for a small object moving under the influence of a force

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Journal of Physics: Conference Series 2021年第1期2014卷

作者： S M Filipov I Faragó A Avdzhieva Department of Computer Science Faculty of Chemical and System Engineering University of Chemical Technology and Metallurgy 8 St. Kliment Ohridski Blvd. 1756 Sofia Bulgaria Department of Differential Equations Institute of Mathematics Budapest University of Technology and Economics & MTA-ELTE Research Group Egry József u. 1 1111 Budapest Hungary Department of Numerical Methods Faculty of Mathematics and Informatics Sofia University St. Kliment Ohridski 5 James Bourchier Blvd. 1164 Sofia Bulgaria

We consider a small object in 3D moving under the influence of a force that may depend explicitly on time, on the position of the object, and on its velocity. The equations of motion of classical mechanics are assumed to hold. If the position of the object is specified at some initial and some final time, obtaining the trajectory of the object requires the solution of a two-point boundary value problem. To solve the problem various numerical technics can be applied. This paper extends the recently proposed shooting-projection method to 3D. We introduce a Lagrangian from which, applying the principle of least action, the projection trajectory is derived. Analysis of the action reveals the meaning of the projection trajectory. Using the shooting-projection method, the considered two-point boundary value problem is solved for the case of a projectile motion in the presence of air resistance and wind.

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Finite Volume Solvers and Moving Least Square Approximations for the Linearized Euler Equations on Unstructured Grids

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The Journal of the Acoustical Society of America 2008年第5_SUPPLEMENT期123卷 3381-3381页

作者： Sofiane Khelladi Xesús Nogueira Farid Bakir Luis Cueto‐Felgueroso Ignasi Colominas Lab. d'Energétique et de Mécanique des Fluides Interne Arts et Métiers ParisTech 151 boulevard de l'Hôpital 75013 Paris France sofiane.khelladi@paris.ensam.fr Group of Numerical Methods in Engineering GMNI Dept. of Applied Mathematics School of Civil Engineering University of A Coruña Campus de Elviña 15071 A Coruña Spain xnogueira@udc.es Lab. d'Energétique et de Mécanique des Fluides Interne Arts et Métiers ParisTech 151 Boulevard de l'Hôpital 75013 Paris France farid.bakir@paris.ensam.fr Aerospace Computational Design Lab. Dept. of Aeronautics and Astronautics Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 USA lcueto@mit.edu Group of Numerical Methods in Engineering GMNI Dept. of Applied Mathematics School of Civil Engineering University of A Coruña Campus de Elviña 15071 A Coruña Spain icolominas@udc.es

This paper presents the application of a high‐order finite volume scheme based on the Moving Least Squares approximations (FVMLS) to solve Linearized Euler Equations (EEL) on unstructured grids. The proposed method allows the direct reconstruction of the (convective) fluxes using compact stencils, and without introducing new degrees of freedom, which is a real advantage over the most popular existing high‐order methods. This particularity confers to the proposed methodology a significant reduction in workload and memory storage capability. The proposed scheme is compared to a second‐order accurate finite volume scheme with centered fluxes around a uniform flow, with absorbing and/or reflecting boundary conditions. Some test cases are used to illustrate the potential of the FVMLS approximations on acoustic wave propagation. The ultimate objective of our research action is to simulate acoustic wave propagation into confined geometries and complex flows provided by subsonic turbomachines.

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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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INTRODUCTION

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Bulletin of the American Meteorological Society 2024年第8期105卷 S1-S11页

作者： Boyer, T. Blunden, J. Dunn, R.J.H. NOAA/NESDIS National Centers for Environmental Information Silver Spring Maryland NOAA/NESDIS National Centers for Environmental Information Asheville North Carolina Met Office Hadley Centre Exeter United Kingdom European Centre for Medium-Range Weather Forecasts Reading United Kingdom University of Maryland College Park Maryland Scripps Institution of Oceanography University of California San Diego La Jolla California NOAA/NWS National Centers for Environmental Prediction Climate Prediction Center College Park Maryland Brandenburg University of Technology (BTU) Cottbus-Senftenberg Germany Servicio Meteorológico Nacional Buenos Aires Argentina NOAA/OAR Physical Sciences Laboratory Boulder Colorado European Centre for Medium-Range Weather Forecasts Bonn Germany Center for Geophysical Research and School of Physics University of Costa Rica San José Costa Rica Department of Meteorology and National Centre for Earth Observation University of Reading Reading United Kingdom Centro Nacional de Monitoramento e Alertas de Desastres Naturais CEMADEN São Paulo Brazil Université Grenoble Alpes Institut des Géosciences de l’Environnement IRD CNRS Grenoble INP Grenoble France Hampton University Hampton Virginia Seychelles Meteorological Authority Mahe Seychelles Section for Glaciers Ice and Snow Norwegian Water Resources and Energy Directorate Oslo Norway National Research Institute for Agriculture Food and Environment (INRAE) CARRTEL Université Savoie Mont Blanc Thonon les Bains France Graduate School of Agriculture Osaka Metropolitan University Sakai Japan Science Faculty Universidad Nacional de Colombia Bogotá Colombia University of Bremen Bremen Germany NOAA Global Monitoring Laboratory Boulder Colorado Servicio Nacional de Meteorología e Hidrología del Perú Lima Perú Centro de Investigaciones sobre Desertificación – Spanish National Research Council (CSIC-UV-GVA) Valencia Spain Hydro-Climate Extremes Lab (H-CEL) Ghent University Ghent Belgium Department o

In 2023, La Niña conditions that generally prevailed in the eastern Pacific Ocean from mid-2020 into early 2023 gave way to a strong El Niño by October. Atmospheric concentrations of Earth’s major greenhouse gases—carbon dioxide, methane, and nitrous oxide—all increased to record-high levels. The annual global average carbon dioxide concentration in the atmosphere rose to 419.3±0.1 ppm, which is 50% greater than the pre-industrial level. The growth from 2022 to 2023 was 2.8 ppm, the fourth highest in the record since the 1960s. The combined short-term effects of El Niño and the long-term effects of increasing levels of heat-trapping gases in the atmosphere contributed to new records for many essential climate variables reported here. The annual global temperature across land and oceans was the highest in records dating as far back as 1850, with the last seven months (June–December) having each been record warm. Over land, the globally averaged temperature was also record high. Dozens of countries reported record or near-record warmth for the year, including China and continental Europe as a whole (warmest on record), India and Russia (second warmest), and Canada (third warmest). Intense and widespread heatwaves were reported around the world. In Vietnam, an all-time national maximum temperature record of 44.2°C was observed at Tuong Duong on 7 May, surpassing the previous record of 43.4°C at Huong Khe on 20 April 2019. In Brazil, the air temperature reached 44.8°C in Araçuaí in Minas Gerais on 20 November, potentially a new national record and 12.8°C above normal. The effect of rising temperatures was apparent in the cryosphere, where snow cover extent by June 2023 was the smallest in the 56-year record for North America and seventh smallest for the Northern Hemisphere overall. Heatwaves contributed to the greatest average mass balance loss for Alpine glaciers around the world since the start of the record in 1970. Due to rapid volume loss beginning in 2021, St. A

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Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017 (vol 395, pg 1779, 2020)

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LANCET 2020年第10239期395卷 1762-1762页

作者： Reiner, R. C., Jr. Hay, S., I Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Global Health School of Medicine University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States College of Health and Medical Sciences Haramaya University Harar Ethiopia Department of Epidemiology and Biostatistics Haramaya University Harar Ethiopia Department of Medical Laboratory Sciences Haramaya University Harar Ethiopia School of Nursing and Midwifery Haramaya University Harar Ethiopia School of Pharmacy Haramaya University Harar Ethiopia School of Public Health Haramaya University Harar Ethiopia Haramaya University Harar Ethiopia Advanced Diagnostic and Interventional Radiology Research Center Tehran University of Medical Sciences Tehran Iran Cancer Biology Research Center Tehran University of Medical Sciences Tehran Iran Cancer Research Institute Tehran University of Medical Sciences Tehran Iran Department of Economics and Management Sciences for Health Tehran University of Medical Sciences Tehran Iran Department of Environmental Health Engineering Tehran University of Medical Sciences Tehran Iran Department of Epidemiology and Biostatistics Tehran University of Medical Sciences Tehran Iran Department of Health Management and Economics Tehran University of Medical Sciences Tehran Iran Department of Microbiology Tehran University of Medical Sciences Tehran Iran Department of Pharmacology Tehran University of Medical Sciences Tehran Iran Digestive Diseases Research Institute Tehran University of Medical Sciences Tehran Iran Endocrinology and Metabolism Research Center Tehran University of Medical Sciences Tehran Iran Hematology-Oncology and Stem Cell Transplantation Research Center Tehran University of Medical Sciences Tehran Iran Iran National Institute of Health Research Tehran University of Medical Sciences Tehran Iran Metabolomics and

Summary Background Across low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood *** We used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor *** The greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54·0% (95% uncertainty interval [UI] 38·1-65·8), 17·4% (7·7-28·4), and 59·5% (34·2-86·9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. Although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy *** By co-analysing geospatial trends in d

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Digital heuristic paradigm of research and development work in the conditions of university

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Journal of Physics: Conference Series 2021年第2期1889卷

作者： O V Kosnikova V D Munister A L Zolkin P M Yudanov V E Ozhiganov Department of Economic Cybernetics Federal State Budgetary Educational Institution of Higher Education «Kuban State Agrarian University named after I.T. Trubilin» KalininaStreet 13 Krasnodar 350044 Russia Department of Mathematical Methods and Computer-Aided Design Private educational institution 'Donetsk Academy of Transport' Dzerzhinsky Street 7 Donetsk 83086 Ukraine Computer and Information Sciences Department Povolzhskiy State University of Telecommunications and Informatics L.Tolstogo Street 23 Samara 443010 Russia Chemistry and material sciences department Civil Defence Academy of EMERCOM of Russia Novogorskdstr. Khimki Moscow region 141435 Russia Engineering department 2 RUSSIAN FEDERAL NUCLEAR CENTERAll-Russian Research Institute of Experimental PhysicsFSUE RFNC – VNIIEF Mira Ave 37 Sarov Nizhny Novgorod region607188 Russia Department of Enterprise Economics State educational institution of higher professional education 'Donetsk National Technical University' Shibankova Street 2 Pokrovsk Donetsk region 85300 Ukraine Natural Sciences Department Private institution of higher education 'Medical University' Reaviz Chapaevskaya Street 227 Samara 443001 Russia

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