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arXiv 2020年

作者： Protachevicz, Paulo R. Iarosz, K.C. Caldas, I.L. Antonopoulos, C.G. Batista, A.M. Kurths, J. Institute of Physics University of São Paulo São Paulo SP Brazil Faculdade de Telêmaco Borba FATEB Telêmaco Borba Paraná Brazil Graduate Program in Chemical Engineering Federal University of Technology Paraná Ponta GrossaParaná Brazil Department of Mathematical Sciences University of Essex Wivenhoe Park United Kingdom Department of Mathematics and Statistics State University of Ponta Grossa Ponta Grossa PR Brazil Department Complexity Science Potsdam Institute for Climate Impact Research Potsdam Germany Department of Physics Humboldt University Berlin Germany Centre for Analysis of Complex Systems Sechenov First Moscow State Medical University Moscow Russia

A great deal of research has been devoted on the investigation of neural dynamics in various network topologies. However, only a few studies have focused on the influence of autapses, synapses from a neuron onto itself via closed loops, on neural synchronisation. Here, we build a random network with adaptive exponential integrate-and-fire neurons coupled with chemical synapses, equipped with autapses, to study the effect of the latter on synchronous behaviour. We consider time delay in the conductance of the pre-synaptic neuron for excitatory and inhibitory connections. Interestingly, in neural networks consisting of both excitatory and inhibitory neurons, we uncover that synchronous behaviour depends on their synapse type. Our results provide evidence on the synchronous and desynchronous activities that emerge in random neural networks with chemical, inhibitory and excitatory synapses where neurons are equipped with autapses. Copyright © 2020, The Authors. All rights reserved.

关键词： Synchronization

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Exploring the Relationship between Saturated Soil Hydraulic Conductivity and Co-Driven Factors Using Artificial Neural Networks at Watershed Scale

SSRN

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SSRN 2024年

作者： Soares, Mauricio Fornalski Nunes, Romulo Félix Siqueira, Tirzah Moreira Pedrollo, Olavo Correa Reichardt, Klaus Barros, Willian Silva She, Dongli Timm, Luís Carlos Water Resources Post-Graduate Program Center of Technological Development Federal University of Pelotas Campus Porto Rua Gomes Carneiro n. 01 Rio Grande do Sul Pelotas96010-610 Brazil Center of Engineering Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Soil and Water Management and Conservation Post-Graduate Program Faculty of Agronomy Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Hydraulic Researchs Institute Federal University of Rio Grande do Sul Rio Grande do Sul Porto Alegre Brazil Soil Physics Laboratory CENA Department of Crop Production ESALQ University of São Paulo São Paulo Piracicaba Brazil Department of Statistics Federal University of Pelotas Campus Universitário s/n Rio Grande do Sul Capão do Leão96010-900 Brazil College of Agricultural Sciences and Engineering Hohai University Nanjing210098 China Department of Rural Engineering Faculty of Agronomy Federal University of Pelotas Campus Universitário s/n Ri o Grande do Sul CEP Capão do Leão96010-900 Brazil

Saturated hydraulic conductivity (KSat) is a key soil attribute that influences hydrological processes at multiple scales. It is well known that KSat is difficult to measure in the field. Field KSat measurement requires time and expensive equipment, skilled labor, and due to the variability of KSat, many samples are required. Artificial neural networks (ANNs) are powerful non-linear mathematical models that can estimate KSat from different soil and environmental input variables as well as using dimensionless variables generated using database resizing techniques via principal component analysis (PCA). Our main goal is to construct artificial neural network models for predicting KSat using soil and different land uses as input variables at a watershed scale. The study area is the Eller Creek watershed of about 0.7 km2 in southern Brazil, in which we established an experimental grid of 178 sampling points. Data of soil bulk density, total porosity, microporosity, macroporosity, soil organic carbon content, sand, silt and clay, and KSat were determined at each point in the 0-20 cm layer. A land-use map was derived from satellite images and used to identify the land use around each soil sampling point. PCA was applied to the original dataset and two selected PCs were included as input variables for ANN modeling. Our results suggest that PC inclusion as input parameters, collectively or individually, combined with the original data, increased the performance of the analyzed ANN models, when compared to similar models using only the original data and without PCs. The use of ANN models showed that the variation of KSat in the ECW watershed is not only associated with soil hydrological and environmental covariates, but also to PCs which are orthogonal linear recombinations that encapsulate the main sources of variation of the original datasets. © 2024, The Authors. All rights reserved.

关键词： Soils

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Integrated data envelopment analysis, multi-criteria decision making, and cluster analysis methods: Trends and perspectives

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Decision Analytics Journal 2023年 8卷

作者： de Oliveira, Maiquiel Schmidt Steffen, Vilmar de Francisco, Antonio Carlos Trojan, Flavio Academic Department of Physics Statistics and Mathematics (DAFEM) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão Paraná 85602-863 Brazil Academic Departments of Engineering (DAENG) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão 85602-863 Paraná Brazil Academic Department of Electronics (DAELE) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa 84017-220 Paraná Brazil Post-Graduate Program in Production Engineering (PPGEP) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa 84017-220 Paraná Brazil

Data Envelopment Analysis (DEA), Multi-criteria Decision Analysis (MCDA), and Cluster Analysis (CA) are techniques widely used to help decision-makers determine the solution to problems with multiple and often conflicting criteria. This study presents a comprehensive review of the literature on the DEA, MCDA, and CA models to identify existing and potential applications and future development trends. To this end, the Methodi Ordinatio was applied to determine which publications have the greatest impact, considering articles in three databases: Scopus, ScienceDirect, and Web of Science. We pair the techniques two by two since no results were found to integrate the three techniques. The results point to a portfolio with 490 articles, in which approximately 43.87% of the articles combine DEA and MCDA techniques for solving efficiency and productivity analysis problems. © 2023 The Author(s)

关键词： Cluster analysis Combined decision techniques Data envelopment analysis Literature review Methodi ordinatio Multi-criteria decision making

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Technology integration in mechanical engineering vocational education: engineering mathematics and engineering physics

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AIP Conference Proceedings 2023年第1期2720卷

作者： Rochmad Novian Inderanata Thomas Sukardi Putu Sudira Tuti Purwaningsih Slamet Priyanto Doctoral Program Student in Technology and Vocational Education Yogyakarta State University Yogyakarta Indonesia Mechanical Engineering Education Department Yogyakarta State University Yogyakarta Indonesia Technology and Vocational Education Graduate Schools Yogyakarta State University Yogyakarta Indonesia Statistics Department Universitas Islam Indonesia Yogyakarta Indonesia Mechanical Engineering Vocational Education Department Universitas Sarjanawiyata Tamansiswa Yogyakarta Indonesia

Technology integration has been applied in the industrial world for the production process, distribution, employment to worker training. The training in Vocational Education is expected to facilitate every learning with various technological transformations that develop. engineering Mathematics and engineering Physics are lessons that must be given to vocational students as a vocational basis. This study aims to explore the impact of using technology in vocational learning. This study uses qualitative research methods, with an emic approach. The theories used are: (1) Critical Theory from Max Horkheimer and Theodor W. Adorno regarding assumptions; (2) Technology Acceptance Model (TAM) theory regarding perceived usefulness and perceived ease of use; and (3) the concept of Ki Hadjar Dewantara’s teachings about “ngerti”, “ngroso” and “nglakoni". The results of this study are: (1) the integration of technology provides benefits to student learning activities seen from the critical theory that learning theory is not boring so that students become more active to take part in learning engineering mathematics and engineering physics; (2) the integration of technology in learning provides positive emotions for students in terms of the perceived benefits and perceived ease of use both from the software and hardware devices they have to solve problems in engineering mathematics and engineering physics; (3) technology integration benefits students’ curiosity about "ngerti", "ngroso" and "nglakoni" according to the concept of Ki Hadjar Dewantara’s teachings seen from seeing the lecturer in explaining the material, demonstrating software and hardware devices, viewing, remember and mark, and imitate implementation in everyday life.

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A systematic review of the literature on video assistant referees in soccer: Challenges and opportunities in sports analytics

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Decision Analytics Journal 2023年 7卷

作者： de Oliveira, Maiquiel Schmidt Steffen, Vilmar Trojan, Flavio Academic Department of Physics Statistics and Mathematics (DAFEM) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão Paraná 85602-863 Brazil Academic Department of Engineering (DAENG) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão Paraná 85602-863 Brazil Academic Department of Electronics (DAELE) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa Paraná 84017-220 Brazil Post-graduate Program in Production Engineering (PPGEP) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa Paraná 84017-220 Brazil

Refereeing in sports is about fairness. The referee's job is to balance what the player with the ball thinks is fair with what the player trying to take the ball thinks is fair. Referees are judges on those two opposite opinions. Football (soccer) has massive global appeal and fan interest. Some football championships now use Video Assistant Referees (VAR) to help the referees make correct decisions. This study reviews the literature on VAR in football using the Methodi Ordinatio. Methodi Ordinatio is a methodology used to select and rank relevant scientific papers combining the impact factor, number of citations, and year of publication. We present a case study about the distance the VAR officials cover in the main Brazilian football championship (Brazilian Serie A). This study adopts the p-medians method to analyse the impact of opening VAR operation rooms in the distance covered by the professionals travelling to officiate matches. The locations of VAR operation rooms were obtained, and applying these locations in the first ten rounds of the Brazilian Serie A season 2021 would possibly reduce about 70% of the distance covered by the VAR officials travelling compared to the total distance performed. © 2023 The Author(s)

关键词： Decision-aid technology Distance minimization Methodi ordinatio p-medians Soccer Sports analytics Video assistant referee

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Influence of inhibitory synapses on the criticality of excitable neuronal networks

arXiv

引用

arXiv 2020年

作者： Borges, F.S. Protachevicz, P.R. Santos, V. Santos, M.S. Gabrick, E.C. Iarosz, K.C. Lameu, E.L. Baptista, M.S. Caldas, I.L. Batista, A.M. Center for Mathematics Computation and Cognition Federal University of ABC São Bernardo do CampoSP09606-045 Brazil Graduate Program in Science - Physics State University of Ponta Grossa Ponta Grossa PR84030-900 Brazil Institute of Physics University of São Paulo São PauloSP05508-900 Brazil Faculdade de Telêmaco Borba Telêmaco BorbaPR84266-010 Brazil Graduate Program in Chemical Engineering Federal University of Technology Paraná Ponta Grossa PR84016-210 Brazil Cell Biology and Anatomy Department University of Calgary AB T2N 4N1 CalgaryAB Canada Institute for Complex Systems and Mathematical Biology University of Aberdeen AberdeenScotlandAB24 3UE United Kingdom Department of Mathematics and Statistics State University of Ponta Grossa Ponta Grossa PR84030-900 Brazil

In this work, we study the dynamic range of a neuronal network of excitable neurons with excitatory and inhibitory synapses. We obtain an analytical expression for the critical point as a function of the excitatory and inhibitory synaptic intensities. We also determine an analytical expression that gives the critical point value in which the maximal dynamic range occurs. Depending on the mean connection degree and coupling weights, the critical points can exhibit ceasing or ceaseless dynamics. However, the dynamic range is equal in both cases. We observe that the external stimulus mask some effects of self-sustained activity (ceaseless dynamic) in the region where the dynamic range is calculated. In these regions, the firing rate is the same for ceaseless dynamics and ceasing activity. Furthermore, we verify that excitatory and inhibitory inputs are approximately equal for a network with a large number of connections, showing excitatory-inhibitory balance as reported experimentally. Copyright © 2020, The Authors. All rights reserved.

关键词： Dynamics

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Dynamic Soil-Structure Interaction Using ITM-FEM Approach

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Journal of Physics: Conference Series 2018年第1期1028卷

作者： Hidajat Lesmana Roesdiman Soegiarso Josia Irwan Rastandi Cholil Hasyim Muhammad Ikhsan Setiawan Nuning Kurniasih Ansari Saleh Ahmar Department of Civil Engineering Doctoral Program Tarumanagara University Jakarta 11440 Indonesia Department of Management Darul Ulum University Jombang Jawa Timur 61419 Indonesia Department of Civil Engineering Narotama University Surabaya Jawa Timur 60117 Indonesia Faculty of Communication Science Library & Information Science Universitas Padjadjaran Bandung Jawa Barat 45363 Indonesia Department of Statistics Universitas Negeri Makassar Indonesia

The effect of dynamic soil-structure interaction is really important to be examined. Moreover if the structure is nuclear power structure or multi-storey structure. In solving the dynamic problem caused by dynamic mass on the soil-structure and interaction, it will use wavelet transform. This study aims to examine the dynamic soil-structure interaction using ITM-FEM approach. In this study, soil is considered as a semi-infinite media in z-direction with unbounded domain in x-direction. The characteristic of material is considered as an isotropic, homogenous, and linear elastic material, and the material damping seems not dependent on the frequency. The dynamic soil-structure interaction using ITM-FEM approach is conducted by counting dynamic stiffness matrix { D^FE }, space truss, hexahedron solid coupling element between FEM and ITM.

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Considering discrepancy when calibrating a mechanistic electrophysiology model

arXiv

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arXiv 2020年

作者： Lei, Chon Lok Ghosh, Sanmitra Whittaker, Dominic G. Aboelkassem, Yasser Beattie, Kylie A. Cantwell, Chris D. Delhaas, Tammo Houston, Charles Novaes, Gustavo Montes Panfilov, Alexander V. Pathmanathan, Pras Riabiz, Marina Weber dos Santos, Rodrigo Worden, Keith Mirams, Gary R. Wilkinson, Richard D. Computational Biology & Health Informatics Dept. of Computer Science University of Oxford United Kingdom MRC Biostatistics Unit University of Cambridge United Kingdom Centre for Mathematical Medicine & Biology School of Mathematical Sciences University of Nottingham United Kingdom Department of Bioengineering University of California San Diego United States Systems Modeling and Translational Biology GlaxoSmithKline R&D Stevenage United Kingdom ElectroCardioMaths Programme Centre for Cardiac Engineering Imperial College London United Kingdom CARIM School for Cardiovascular Diseases Maastricht University Netherlands Graduate Program in Computational Modeling Universidade Federal de Juiz de Fora Brazil Department of Physics and Astronomy Ghent University Belgium Laboratory of Computational Biology and Medicine Ural Federal University Ekaterinburg Russia U.S. Food and Drug Administration Center for Devices and Radiological Health Office of Science and Engineering Laboratories United States Department of Biomedical Engineering King’s College London Alan Turing Institute United Kingdom Dynamics Research Group Department of Mechanical Engineering University of Sheffield United Kingdom School of Mathematics and Statistics University of Sheffield United Kingdom

Uncertainty quantification (UQ) is a vital step in using mathematical models and simulations to take decisions. The field of cardiac simulation has begun to explore and adopt UQ methods to characterise uncertainty in model inputs and how that propagates through to outputs or predictions. In this perspective piece we draw attention to an important and under-addressed source of uncertainty in our predictions — that of uncertainty in the model structure or the equations themselves. The difference between imperfect models and reality is termed model discrepancy, and we are often uncertain as to the size and consequences of this discrepancy. Here we provide two examples of the consequences of discrepancy when calibrating models at the ion channel and action potential scales. Furthermore, we attempt to account for this discrepancy when calibrating and validating an ion channel model using different methods, based on modelling the discrepancy using Gaussian processes (GPs) and autoregressive-moving-average (ARMA) models, then highlight the advantages and shortcomings of each approach. Finally, suggestions and lines of enquiry for future work are provided. Copyright © 2020, The Authors. All rights reserved.

关键词： Uncertainty analysis

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CBIO-23THE TEAD4-DRIVEN TRANSPORTOME MEDIATES ACTIVATION OF THE OSMOTIC ENGINE TO POTENTIATE GLIOBLASTOMA INVASION

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Neuro-Oncology 2015年第SUPPL_5期17卷 v59–v59页

作者： Martinez-Gutierrez, Juan Carlos Shah, Sagar R. Ruiz-Valls, Alejandro Wong, Bin S. Tippens, Nathaniel D. Konstantopoulos, Konstantinos Quinones-Hinojosa, Alfredo Johns Hopkins University School of Medicine Department of Neurosurgery Baltimore MD USA Johns Hopkins University School of Medicine Department of Biomedical Engineering Baltimore MD USA Johns Hopkins University Department of Chemical and Biomolecular Engineering Baltimore MD USA Department of Biological Statistics and Computational Biology Cornell UniversityDepartment of Biological Statistics and Computational Biology Cornell University Ithaca NY USA Tri-Institutional Training Program in Computational Biology and Medicine New York NY USA Johns Hopkins University School of Medicine Department of Oncology Baltimore MD USA

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Artificial Neural Network Models to Examine the Relationship between Saturated Soil Hydraulic Conductivity and Co-Driven Factors at the Watershed Scale

SSRN

引用

SSRN 2023年

作者： Soares, Mauricio Fornalski Siqueira, Tirzah Moreira Nunes, Romulo Félix Pedrollo, Olavo Correa Reichardt, Klaus Barros, Willian Silva Timm, Luís Carlos Water Resources Post-Graduate Program Center of Technological Development Federal University of Pelotas Campus Porto Rua Gomes Carneiro n. 01 Rio Grande do Sul PelotasCEP: 96010-610 Brazil Center of Engineering Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Soil and Water Management and Conservation Post-Graduate Program Faculty of Agronomy Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Hydraulic Researchs Institute Federal University of Rio Grande do Sul Rio Grande do Sul Porto Alegre Brazil Soil Physics Laboratory CENA Department of Crop Production ESALQ University of São Paulo Piracicaba São Paulo Brazil Department of Statistics Federal University of Pelotas Campus Universitário s/n Rio Grande do Sul Capão do LeãoCEP: 96010-900 Brazil Department of Rural Engineering Faculty of Agronomy Federal University of Pelotas Campus Universitário s/n Rio Grande do Sul Capão do LeãoCEP: 96010-900 Brazil

Saturated soil hydraulic conductivity (KSat) is a key soil attribute that affects hydrological processes in the soil surface layer. It is well known that KSat is difficult to be obtained in the field, requires time and expensive equipment, skilled labor and, due to its variability, requires many samples and can hardly be extrapolated. Artificial neural networks (ANNs) are powerful no-linear mathematical models to estimate KSat from different soil hydro-physical and environmental input variables as well as by using dimensionless variables generated by database resizing techniques from principal component analyses (PCA). The present study aimed to construct artificial neural network models for predicting KSat using soil attributes and different land uses as input variables at a watershed scale. The study was carried out in the Ellert Creek watershed of about 0.7 km2, Brazil, in which an experimental grid consisted of 178 sampling points was established. Data of soil bulk density, total porosity, microporosity, macroporosity, soil organic carbon content, sand, silt and clay, and KSat were determined at each point in the 0-20 cm layer. A land-use map was derived from satellite images and used to identify the land use around each soil sampling point. PCA was applied to the original data set and selected PCs were used as input variables for ANN modeling. Two PCs were selected and the results suggest that their inclusion as input parameters, both or individually, combined with the original data, increased the performance of the analyzed ANN models, when compared to similar models with only original data and without PCs. The use of ANN models showed that the variation of KSat in the ECW watershed is not only associated to soil hydrological and environment covariates, but also to PCs which are orthogonal linear recombinations that resume the main sources of variation of the original data sets. © 2023, The Authors. All rights reserved.

关键词： Soils

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