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13th International Conference Management of Large-Scale System Development, MLSD 2020

作者： Skiba, Alexander Skiba, Nadezhda Federal Research Center Computer Science and Control of the Russian Academy of Sciences Department of Design Methods for Developing Systems Moscow Russia Named after Prof. Vartumyan G. T. Kuban State Technological University Ministry of Science and Higher Education Institute of Oil Gas and Energy Department of Oil and Gas Business Krasnodar Russia

ISBN: (纸本)9781728110943

A continuous aggregated dynamic model of gas production at a gas field is under construction. Several issues related to gas extraction modeling are under discussion. Two possible options for developing a gas field with certain conditions are under consideration. The first strategy concerns the development of one gas field at two consecutive time stages: At a constant rate of wells drilling and in the absence of drilling. The second strategy concerns maintaining an unaltered level of gas production by commissioning new wells. We study each option in detail and draw appropriate conclusions. We also pose and solve optimization problems for maximum overall extraction and maximum profit. The issues proposed for the study belong to the class of optimal control problems with a free right end and a fixed time. The necessary mathematical apparatus is the Pontryagin maximum principle. © 2020 IEEE.

关键词： Extraction

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Hawkes processes on graphons

arXiv

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arXiv 2021年

作者： Xu, Hongteng Luo, Dixin Zha, Hongyuan Gaoling School of Artificial Intelligence Renmin University of China Beijing China Beijing Key Laboratory of Big Data Management and Analysis Methods Beijing China School of Computer Science and Technology Beijing Institute of Technology Beijing China School of Data Science Shenzhen Research Institute of Big Data Chinese University of Hong Kong Shenzhen China

We propose a novel framework for modeling multiple multivariate point processes, each with heterogeneous event types that share an underlying space and obey the same generative mechanism. Focusing on Hawkes processes and their variants that are associated with Granger causality graphs, our model leverages an uncountable event type space and samples the graphs with different sizes from a nonparametric model called graphon. Given those graphs, we can generate the corresponding Hawkes processes and simulate event sequences. Learning this graphon-based Hawkes process model helps to 1) infer the underlying relations shared by different Hawkes processes;and 2) simulate event sequences with different event types but similar dynamics. We learn the proposed model by minimizing the hierarchical optimal transport distance between the generated event sequences and the observed ones, leading to a novel reward-augmented maximum likelihood estimation method. We analyze the properties of our model in-depth and demonstrate its rationality and effectiveness in both theory and experiments. © 2021, CC BY.

关键词： Maximum likelihood estimation

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Shooting-projection method for a small object moving under the influence of a force 10

Shooting-projection method for a small object moving under t...

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202 10th International Conference on Engineering Mathematics and Physics, ICEMP 2021

作者： Filipov, S.M. Faragó, I. Avdzhieva, A. Department of Computer Science Faculty of Chemical and System Engineering University of Chemical Technology and Metallurgy 8 St. Kliment Ohridski Blvd. Sofia1756 Bulgaria Department of Differential Equations Institute of Mathematics Budapest University of Technology and Economics MTA-ELTE Research Group Egry József u. 1 Budapest1111 Hungary Department of Numerical Methods Faculty of Mathematics and Informatics Sofia University St. Kliment Ohridski 5 James Bourchier Blvd. Sofia1164 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. © 2021 institute of Physics Publishing. All rights reserved.

关键词： Trajectories

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Language and Gender Differences in Financial Literacy: The Role of Feminized, Masculinized, and Neutral Question Phrasing

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International Journal of Consumer Studies 2025年第4期49卷

作者： Andrzej Cwynar Piotr Białowolski Robert Porzak Dorota Weziak-Bialowolska Institute of Public Administration and Business WSEI University Lublin Poland Department of Economics Kozminski University Warsaw Poland Human Flourishing Program Harvard University Cambridge Massachusetts USA Institute of Psychology and Human Sciences WSEI University Lublin Poland Department of Quantitative Methods and Applications of Computer Science Kozminski University Warsaw Poland

We examine whether the phrasing of financial literacy test questions affects the test scores of women and men. To this end, we developed three language versions of a well-known set of financial literacy questions: feminized, masculinized, and neutral. We then surveyed a large, representative sample of adult Poles ( N = 4389), with respondents randomly assigned to one of these three language versions. Using item response theory (IRT), we examined how female and male respondents answered the questions and scored on the financial literacy test, depending on the language version. We found that both women and men performed differently contingent on the phrasing of questions. Through our analysis, we identified a subset of questions free from language bias. Utilizing this language bias-resistant set, we assessed financial literacy levels for both genders. Even in this language bias-resistant shortened test, a significant gender gap favoring men persisted, with a difference of 0.775 on the standardized scale. In a series of alternative models, we found that the gender gap in financial literacy was noticeably smaller when feminized language was used compared to both masculinized language and the language bias-resistant version of the test. This study confirms the existence of a gender gap in financial literacy but suggests that its magnitude may be overestimated when masculinized language is utilized in testing instruments.

关键词： financial literacy framing gender gender gap language wording

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Rate Equations for Graphs 18th

Rate Equations for Graphs

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18th International Conference on Computational methods in Systems Biology, CMSB 2020

作者： Danos, Vincent Heindel, Tobias Honorato-Zimmer, Ricardo Stucki, Sandro CNRS ENS-PSL INRIA Paris France Institute of Commercial Information Technology and Quantitative Methods Technische Universität Berlin Berlin Germany Centro Interdisciplinario de Neurociencia de Valparaíso Universidad de Valparaíso Valparaiso Chile Department of Computer Science and Engineering University of Gothenburg Gothenburg Sweden

ISBN: (纸本)9783030603267

In this paper, we combine ideas from two different scientific traditions: 1) graph transformation systems (GTSs) stemming from the theory of formal languages and concurrency, and 2) mean field approximations (MFAs), a collection of approximation techniques ubiquitous in the study of complex dynamics. Using existing tools from algebraic graph rewriting, as well as new ones, we build a framework which generates rate equations for stochastic GTSs and from which one can derive MFAs of any order (no longer limited to the humanly computable). The procedure for deriving rate equations and their approximations can be automated. An implementation and example models are available online at https://***/fragger. We apply our techniques and tools to derive an expression for the mean velocity of a two-legged walker protein on DNA. © 2020, Springer Nature Switzerland AG.

关键词： Formal languages

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Multifractal wavelet dynamic mode decomposition modeling for marketing time series

arXiv

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arXiv 2024年

作者： Zidan, Mohamed Elshazli A. Ben Mabrouk, Anouar Ben Abdallah, Nidhal Alanazi, Tawfeeq M. Department of Mathematics Faculty of Science University of Tabuk King Faisal road Tabuk47512 Saudi Arabia Department of Mathematics Higher Institute of Applied Mathematics and Computer Science University of Kairouan Street of Assad Ibn Alfourat Kairouan3100 Tunisia Laboratory of Algebra Number Theory and Nonlinear Analysis Department of Mathematics Faculty of Sciences University of Monastir Avenue of the Environment Monastir5000 Tunisia Department of Quantitative Methods Faculty of Economic Sciences and Management University of Monastir Sidi Messaoud Hiboun Mahdia 5111 Tunisia Laboratoire THEMA de l'ESCT Tunis Université de Carthage Campus Universitaire de Manouba Mannouba Mannouba 2010 Tunisia Department of Marketing Faculty of Business Administration University of Tabuk King Faisal road Tabuk47512 Saudi Arabia

Marketing is the way we ensure our sales are the best in the market, our prices the most accessible, and our clients satisfied, thus ensuring our brand has the widest distribution. This requires sophisticated and advanced understanding of the whole related network. Indeed, marketing data may exist in different forms such as qualitative and quantitative data. However, in the literature, it is easily noted that large bibliographies may be collected about qualitative studies, while only a few studies adopt a quantitative point of view. This is a major drawback that results in marketing science still focusing on design, although the market is strongly dependent on quantities such as money and time. Indeed, marketing data may form time series such as brand sales in specified periods, brand-related prices over specified periods, market shares, etc. The purpose of the present work is to investigate some marketing models based on time series for various brands. This paper aims to combine the dynamic mode decomposition and wavelet decomposition to study marketing series due to both prices, and volume sales in order to explore the effect of the time scale on the persistence of brand sales in the market and on the forecasting of such persistence, according to the characteristics of the brand and the related market competition or competitors. Our study is based on a sample of Saudi brands during the period 22 November 2017 to 30 December *** Codes 65T60, 91B84, 91B55, 37M10 © 2024, CC0.

关键词： Dynamic mode decomposition

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The COVID-19 Data Exchange Platform of the German University Medicine 32

The COVID-19 Data Exchange Platform of the German University...

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32nd Medical Informatics Europe Conference, MIE 2022

作者： Prokosch, Hans-Ulrich Bahls, Thomas Bialke, Martin Eils, Jürgen Fegeler, Christian Gruendner, Julian Haarbrandt, Birger Hampf, Christopher Hoffmann, Wolfgang Hund, Hauke Kampf, Marvin Kapsner, Lorenz A. Kasprzak, Piotr Kohlbacher, Oliver Krefting, Dagmar Mang, Jonathan M. Marschollek, Michael Mate, Sebastian Müller, Armin Prasser, Fabian Sass, Julian Semler, Sebastian Stenzhorn, Holger Thun, Sylvia Zenker, Sven Eils, Roland Chair of Medical Informatics Friedrich-Alexander-Universität Erlangen-Nürnberg Wetterkreuz 15 Erlangen91058 Germany Institute for Community Medicine University Medicine Greifswald Greifswald Germany Berlin Institute of Health at Charité-Universitätsmedizin Berlin Berlin Germany Gecko Institute Heilbronn University of Applied Sciences Heilbronn Germany Peter L. Reichertz Institute for Medical Informatics of Tu Braunschweig and Hannover Medical School Hannover Germany Medical Center for Information and Communication Technology Universitätsklinikum Erlangen Erlangen Germany Institute for Translational Bioinformatics University Medical Center Tübingen Germany Department of Medical Informatics University Medical Center Göttingen Göttingen Germany Tmf-Technology Methods and Infrastructure for Networked Medical Research Berlin Germany Institute for Medical Biometry Epidemiology und Medical Informatics Saarland University Medical Center Homburg Germany Commercial DirectorateInstitute for Medical Biometry Informatics & EpidemiologyDepartment of Anesthesiology and Intensive Care Medicine University Hospital Bonn Bonn Germany Institute for Bioinformatics and Medical Informatics University of Tübingen Tübingen Germany Department of Computer Science University of Tübingen Tübingen Germany Gesellschaft für Wissenschaftliche Datenverarbeitung MbH Göttingen Germany

ISBN: (纸本)9781643682846

COVID-19 has challenged the healthcare systems worldwide. To quickly identify successful diagnostic and therapeutic approaches large data sharing approaches are inevitable. Though organizational clinical data are abundant, many of them are available only in isolated silos and largely inaccessible to external researchers. To overcome and tackle this challenge the university medicine network (comprising all 36 German university hospitals) has been founded in April 2020 to coordinate COVID-19 action plans, diagnostic and therapeutic strategies and collaborative research activities. 13 projects were initiated from which the CODEX project, aiming at the development of a Germany-wide Covid-19 Data Exchange Platform, is presented in this publication. We illustrate the conceptual design, the stepwise development and deployment, first results and the current status. © 2022 European Federation for Medical Informatics (EFMI) and IOS Press.

关键词： Electronic data interchange

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sbi reloaded: a toolkit for simulation-based inference workflows

arXiv

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arXiv 2024年

作者： Boelts, Jan Deistler, Michael Gloeckler, Manuel Tejero-Cantero, Álvaro Lueckmann, Jan-Matthis Moss, Guy Steinbach, Peter Moreau, Thomas Muratore, Fabio Linhart, Julia Durkan, Conor Vetter, Julius Miller, Benjamin Kurt Herold, Maternus Ziaeemehr, Abolfazl Pals, Matthijs Gruner, Theo Bischoff, Sebastian Krouglova, Anastasia N. Gao, Richard Lappalainen, Janne K. Mucsányi, Bálint Pei, Felix Schulz, Auguste Stefanidi, Zinovia Rodrigues, Pedro L.C. Schröder, Cornelius Zaid, Faried Abu Beck, Jonas Kapoor, Jaivardhan Greenberg, David S. Gonçalves, Pedro J. Macke, Jakob H. Machine Learning in Science University of Tübingen Germany Tübingen AI Center Germany TransferLab AppliedAI Institute for Europe Germany ML Colab Cluster ML in Science University of Tübingen Germany Google Research United States Helmholtz-Zentrum Dresden-Rossendorf Germany Université Paris-Saclay INRIA CEA Palaiseau France Robert Bosch GmbH Germany School of Informatics University of Edinburgh United Kingdom University of Amsterdam Netherlands Research and Innovation Center BMW Group Germany Institute for Applied Mathematics and Scientific Computing University of the Bundeswehr Munich Germany Aix Marseille INSERM INS France TU Darmstadt Hessian.AI Germany University Hospital Tübingen M3 Research Center Germany Faculty of Science KU Leuven B-3000 Belgium Imec Belgium Methods of Machine Learning University of Tübingen Germany Neuroscience Institute Carnegie Mellon University United States Université Grenoble Alpes INRIA CNRS Grenoble INP LJK France Hertie Institute for AI in Brain Health University of Tübingen Germany Institute of Coastal Systems - Analysis and Modeling Helmholtz AI Germany Departments of Computer Science Electrical Engineering KU Leuven Belgium Department Empirical Inference Max Planck Institute for Intelligent Systems Tübingen Germany

Scientists and engineers use simulators to model empirically observed phenomena. However, tuning the parameters of a simulator to ensure its outputs match observed data presents a significant challenge. Simulation-based inference (SBI) addresses this by enabling Bayesian inference for simulators, identifying parameters that match observed data and align with prior knowledge. Unlike traditional Bayesian inference, SBI only needs access to simulations from the model and does not require evaluations of the likelihood-function. In addition, SBI algorithms do not require gradients through the simulator, allow for massive parallelization of simulations, and can perform inference for different observations without further simulations or training, thereby amortizing inference. Over the past years, we have developed, maintained, and extended sbi, a PyTorch-based package4 that implements Bayesian SBI algorithms based on neural networks. The sbi toolkit implements a wide range of inference methods, neural network architectures, sampling methods, and diagnostic tools. In addition, it provides well-tested default settings but also offers flexibility to fully customize every step of the simulation-based inference workflow. Taken together, the sbi toolkit enables scientists and engineers to apply state-of-the-art SBI methods to black-box simulators, opening up new possibilities for aligning simulations with empirically observed data. © 2024, CC BY-SA.

关键词： Neural networks

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Topical Issue Scientific Machine Learning (1/2)

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GAMM Mitteilungen 2021年第1期44卷

作者： Benner, Peter Klawonn, Axel Stoll, Martin Computational Methods in Systems and Control Theory Max Planck institute for Dynamics of Complex Technical Systems Magdeburg Germany Fakultät für Mathematik Otto-von-Guericke Universität Magdeburg Germany Department of Mathematics and Computer Science University of Cologne Germany Center for Data and Simulation Science University of Cologne Germany Chair of Scientific Computing Department of Mathematics TU Chemnitz Germany

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The Definitions of Health Apps and Medical Apps From the Perspective of Public Health and Law: Qualitative Analysis of an Interdisciplinary Literature Overview

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JMIR mHealth and uHealth 2022年第10期10卷 e37980-e37980页

作者： Maaß, Laura Freye, Merle Pan, Chen-Chia Dassow, Hans-Henrik Niess, Jasmin Jahnel, Tina Department of Health Long-Term Care and Pensions Research Center on Inequality and Social Policy University of Bremen Bremen Germany Leibniz ScienceCampus Digital Public Health Bremen Germany Institute for Information Health and Medical Law University of Bremen Bremen Germany Unit of Lifestyle-Related Disorders Department of Epidemiological Methods and Etiological Research Leibniz Institute for Prevention and Epidemiology Bremen Germany Department of Prevention and Health Promotion Institute for Public Health and Care Research University of Bremen Bremen Germany Institute for Philosophy University of Bremen Bremen Germany Human Computer Interaction Research Group Institute of Computer Science University of St. Gallen St. Gallen Switzerland Department of Health Services Research Institute for Public Health and Care Research University of Bremen Bremen Germany

Background: The terms health app and medical app are often used interchangeably but do not necessarily mean the same thing. To better understand these terms and better regulate such technologies, we need distinct definitions of health and medical apps. Objective: This study aimed to provide an overview of the definitions of health and medical apps from an interdisciplinary perspective. We summarized the core elements of the identified definitions for their holistic understanding in the context of digital public health. methods: The legal frameworks for medical device regulation in the United States, the European Union, and Germany formed the basis of this study. We then searched 6 databases for articles defining health or medical apps from an interdisciplinary perspective. The narrative literature review was supported by a forward and backward snowball search for more original definitions of health and medical apps. A qualitative analysis was conducted on the identified relevant aspects and core elements of each definition. On the basis of these findings, we developed a holistic definition of health and medical apps and created a decision flowchart to highlight the differences between the 2 types. Results: The legal framework showed that medical apps could be regulated as mobile medical devices, whereas there is no legal term for health apps. Our narrative literature review identified 204 peer-reviewed publications that offered a definition of health and medical apps. After screening for original definitions and applying the snowball method, 11.8% (24/204) of the publications were included in the qualitative analysis. Of these 24 publications, 22 (88%) provided an original definition of health apps and 11 (44%) described medical apps. The literature suggests that medical apps are a part of health apps. To describe health or medical apps, most definitions used the user group, a description of health, the device, the legal regulation, collected data, or technological

关键词： DiGA digital care applications digital health digital health applications DiPA health app medical app mobile health mobile medical device mobile phone regulation snowball search

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