检索结果-内蒙古大学图书馆

Dynamic Soil-Structure Interaction Using ITM-FEM Approach

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.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Considering discrepancy when calibrating a mechanistic electrophysiology model

arXiv

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

来源：评论

学校读者我要写书评

暂无评论

Magnetized and quadratic convection based thermal transport in ternary radiative bio-nanofluid via intelligent neural networks: Two hidden layers mechanism

引用

Results in Physics 2024年 65卷

作者： Ayub, Assad Darvesh, Adil Shah, Syed Zahir Hussain Junjua, Moin-ud-Din Santos, Elizaldo Domingues dos Ahmad, Shabbir Hendy, Ahmed S. Ragab, Adham E. Department of Mathematics & Statistics Hazara University Manshera Pakistan School of Mathematical Sciences Zhejiang Normal University Zhejiang Jinhua 321004 China Programa de Pós-Graduação em Modelagem Computacional/LMCE Escola de Engenharia Universidade Federal do Rio Grande – FURG RS Rio Grande 96203900 Brazil FURG Escola de Engenharia RS Rio Grande Brazil Department of Basic Sciences and Humanities Muhammad Nawaz Sharif University of Engineering and Technology Multan 60000 Pakistan Department of Computational Mathematics and Computer Science Institute of Natural Sciences and Mathematics Ural Federal University 19 Mira St. Yekaterinburg 620002 Russian Federation Department of Industrial Engineering College of Engineering King Saud University P.O. Box 800 Riyadh 11421 Saudi Arabia Department of Mathematics Ghazi University Dera Ghazi Khan 32200 Pakistan Graduate Program of Ocean Engineering School of Engineering Universidade Federal do Rio Grande Italia Avenue km 8 96201-900 Rio Grande Brazil Department of Mechanics and Mathematics Western Caspian University Baku 1001 Azerbaijan

Significance: The thermal analysis of nanofluid in a vertical cylinder (artery) in a magnetized environment holds significant implications in physiological and thermal regulation networks. This research is significant in biomedical engineering with applications like medical diagnostics and treatment strategies. Motive: This study investigates the thermal behavior of a magnetized blood-based ternary Carreau nanofluid flowing through a vertically bounded artery with quadratic convection. Velocity and heat transfer analysis is conducted within the artery, utilizing thermal radiation and quadratic convection in a magnetized setting. The base fluid consists of blood, augmented with three nanoparticles: CuO, Al₂O₃, and TiO₂. The investigation centers on examining the properties of blood nanofluid, arterial geometry, and thermal dynamics. Methodology: The physical model generates a set of partial differential equations (PDEs) and similarities mechanism is utilized to fetch its non dimensional form in terms of ordinary differential equations (ODEs). Furthermore, numerical outcomes are obtained with Matlab function bvp4c and obtained data set is trained through robust scheme Levenberg-Marquardt neural network (LMNN) procedure to predict the solution. Findings: Velocity of blood is reduced with increased values of wiessenberg number, magnetic parameter and mixed convection parameter and velocity increases for Second-order convection parameter. Temperature profile decreases with curvature parameter, mixed convection parameter and permeability parameter. © 2024

关键词： Blood fluid Intelligent neural network Magnetized environment Ternary nanoparticles Thermal scrutiny

来源：评论

学校读者我要写书评

暂无评论

APPLICATION OF ELECTROMAGNETIC LOGGING TO CONTAMINATION INVESTIGATIONS IN GLACIAL SAND-AND-GRAVEL AQUIFERS

引用

GROUND WATER MONITORING AND REMEDIATION 1993年第3期13卷 129-138页

作者： WILLIAMS, JH LAPHAM, WW BARRINGER, TH John H. Williams received an M.S. in geology from Penn State University in 1980 and has worked for the U.S. Geological Survey since that time. He currently is the ground water specialist for the New York District (P.O. Box 1669 Albany NY 12201) and the borehole geophysics specialist for the Northeastern Region. He is also an instructor for the National Ground Water Association course on aquifer test methods. His primary interest is the application of borehole geophysics to ground water studies. Wayne W. Lapham has been employed as a hydrologist with the U.S. Geological Survey since 1976. He currently works for USGS as a ground water specialist for the National Water-Quality Assessment Program (MS 413 Reston VA 22092). He received a B.S. degree in mechanical engineering from Northeastern University in 1969 an M.S. in geology from the University of Massachusetts in 1975 and a Ph.D. in hydrology from the University of Arizona in 1988. He has been involved with various aspects of ground water hydrology including resource appraisal and ground water modeling. Thomas H. Barringer is the statistical methods specialist for the New Jersey District of the U.S. Geological Survey (810 Bear Tavern Rd West Trenton NJ 08628). His interests include spatial statistics and the application of statistical methods to hydrological problems. He has a joint M.S. in regional planning and regional science and a PhD. in regional science from the University of Pennsylvania.

Electromagnetic (EM) logging provides an efficient method for high-resolution, vertical delineation of electrically conductive contamination in glacial sand-and-gravel aquifers. EM, gamma, and lithologic logs and specific conductance data from sand-and-gravel aquifers at five sites in the northeastern United States were analyzed to define the relation of EM conductivity to aquifer lithology and water quality. Municipal waste disposal, septic waste discharge, or highway deicing salt application at these sites has caused contaminant plumes in which the dissolved solids concentration and specific conductance of ground water exceed background levels by as much as 10 to 20 times. The major hydrogeologic factors that affected EM log response at the five sites were the dissolved solids concentration of the ground water and the silt and clay content in the aquifer. EM conductivity of sand and gravel with uncontaminated water ranged from less than 5 to about 10 millisiemens per meter (mS/m);that of silt and clay zones ranged from about 15 to 45 mS/m;and that of the more highly contaminated zones in sand and gravel ranged from about 10 to more than 80 mS/m. Specific conductance of water samples from screened intervals in sand and gravel at selected monitoring well installations was significantly correlated with EM conductivity. EM logging can be used in glacial sand-and-gravel aquifer investigations to (1) determine optimum depths for the placement of monitoring well screens;(2) provide a nearly continuous vertical profile of specific conductance to complement depth-specific water quality samples;and (3) identify temporal changes in water quality through sequential logging. Detailed lithologic or gamma logs, preferably both, need to be collected along with the EM logs to define zones in which elevated EM conductivity is caused by the presence of silt and clay beds rather than contamination.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Time-Varying ℓ₀ Optimization for Spike Inference from Multi-Trial Calcium Recordings

引用

Data Science in Science 2024年第1期3卷

作者： Shen, Tong Du, Mingyu Johnston, Kevin Grieco, Steven F. Crary, Rachel Guzowski, John F. Lur, Gyorgy Xu, Xiangmin Ombao, Hernando Guindani, Michele Yu, Zhaoxia Department of Statistics University of California Irvine 92697 CA United States Center for Complex Biological Systems University of California Irvine 92697 CA United States Department of Mathematics and The NSF-Simons Center for Multiscale Cell Fate Research University of California Irvine 92697 CA United States Department of Anatomy and Neurobiology School of Medicine University of California Irvine 92697 CA United States Department of Neurobiology and Behavior University of California Irvine 92697 CA United States The Center for the Neurobiology of Learning and Memory University of California Irvine 92697 CA United States Department of Biomedical Engineering University of California Irvine 92697 CA United States Department of Computer Science University of California Irvine 92697 CA United States The Center for Neural Circuit Mapping University of California Irvine 92697 CA United States Statistics Program KAUST Thuwal Saudi Arabia Department of Biostatistics University of California Los Angeles CA United States

Optical imaging of genetically encoded calcium indicators is a powerful tool to record the activity of a large number of neurons simultaneously over a long period of time from freely behaving animals. However, determining the exact time at which a neuron spikes and estimating the underlying firing rate from calcium fluorescence data remains challenging, especially for calcium imaging data obtained from a longitudinal study. We propose a multi-trial time-varying ℓ₀ penalized method to jointly detect spikes and estimate firing rates by robustly integrating evolving neural dynamics across trials. Our simulation study shows that the proposed method performs well in both spike detection and firing rate estimation. We demonstrate the usefulness of our method on calcium fluorescence trace data from two studies, with the first study showing differential firing rate functions between two behaviors and the second study showing evolving firing rate functions across trials due to learning. © 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.

关键词： calcium imaging firing rate spike detection Time-varying penalty ℓ0 regularization

来源：评论

学校读者我要写书评

暂无评论

Exponential acceleration of macroscopic quantum tunneling in a Floquet Ising model

arXiv

引用

arXiv 2023年

作者： Grattan, George Barton, Brandon A. Feeney, Sean Mossi, Gianni Patnaik, Pratik Sagal, Jacob C. Carr, Lincoln D. Oganesyan, Vadim Kapit, Eliot Quantum Engineering Program Colorado School of Mines 1523 Illinois St CO Golden80401 United States Department of Computer Science Colorado School of Mines 1500 Illinois St CO Golden80401 United States Department of Applied Mathematics and Statistics Colorado School of Mines 1500 Illinois St CO Golden80401 United States Department of Physics Colorado School of Mines 1523 Illinois St CO Golden80401 United States KBR Inc. 601 Jefferson St. HoustonTX77002 United States NASA Ames Research Center Moffett FieldCA94035 United States Department of Physics and Astronomy College of Staten Island CUNY Staten IslandNY10314 United States Physics program and Initiative for the Theoretical Sciences The Graduate Center CUNY New YorkNY10016 United States Center for Computational Quantum Physics Flatiron Institute 162 5th Avenue New YorkNY10010 United States

The exponential suppression of macroscopic quantum tunneling (MQT) in the number of elements to be reconfigured is an essential element of broken symmetry phases. Slow MQT is also a core bottleneck in quantum algorithms, such as traversing an energy landscape in optimization, and adiabatic state preparation more generally. In this work, we demonstrate the possibility to accelerate MQT through Floquet engineering with the application of a uniform, high frequency transverse drive field. Using the ferromagnetic phase of the transverse field Ising model in one and two dimensions as a prototypical example, we identify three qualitatively distinct regimes as a function of drive strength: (i) for weak drive, the system exhibits exponentially slow MQT alongside robust magnetic order, as expected;(ii) at intermediate drive strength, we find polynomial decay of rates alongside vanishing magnetic order consistent with critical or paramagnetic state;(iii) at very strong drive strengths both the tunnelling rate and time-averaged magnetic order remain finite with increasing system size. We support these claims with extensive full wavefunction and matrix-product state numerical simulations, and theoretical analysis. An experimental test of these results presents a technologically important and novel scientific question accessible on NISQ-era quantum computers. © 2023, CC BY.

关键词： Ising model

来源：评论

学校读者我要写书评

暂无评论

Occupational Risk Factors for Prostate Cancer Mortality in British Columbia, Canada

引用

American Journal of Industrial Medicine 1998年第1期35卷

作者： Jane A. Buxton MBBS Richard P Gallagher MA Nhu D. Le PhD Pierre R. Band MD, FRCP(C) Joel L. Bert PhD Department of Health Care and Epidemiology University of British Columbia Vancouver Canada Cancer Control Research Program BC Cancer Agency Vancouver BC Canada Department of Statistics University of British Columbia Vancouver Canada Environmental Health Directorate Health Protection Branch Health Canada Ottawa Ontario Department of Chemical Engineering University of British Columbia Vancouver Canada

Background Although prostate cancer is the most common life-threatening cancer among males in North America, relatively little is known about its etiology. We have conducted a proportional mortality study to generate hypotheses concerning occupational risk factors for the disease. Methods Age standardized proportional mortality ratios (PMR) for prostate cancer were calculated for a total of 216 occupations and 88 industries. Separate calculations were done for all male deaths age 20 and up and for deaths that occurred during men's working lifetime (age 20–65). Results Elevated mortality from prostate cancer was seen among business owners and managers (PMR = 110; 95%CI = 101–118), brokers (PMR = 184; 95%CI = 122–266), farmers and farm managers (PMR = 112; 95%CI = 105–120), and school teachers (PMR = 133; 95%CI = 101–174). Evaluation by industry shows elevated prostate cancer mortality in agriculture (PMR = 110; 95%CI = 103–118), financial institutions (PMR = 138, 95% CI = 112–170), and transportation equipment manufacture (PMR = 136; 95%CI = 109–168). Conclusions The findings suggest that workers in a number of occupations have elevated risks of prostate cancer including farmers and teachers. More detailed cohort and case-control studies, evaluating specific exposures are required before primary prevention programs in the workplace are feasible. Am. J. Ind. Med. 35:82–86, 1999. © 1999 Wiley-Liss, Inc.

关键词： occupation mortality risk factor prostate cancer

来源：评论

学校读者我要写书评

暂无评论

An integrated data envelopment analysis framework for operational efficiency assessment in Brazilian international airports

引用

Decision Analytics Journal 2024年 12卷

作者： de Oliveira, Maiquiel Schmidt Steffen, Vilmar Krukoski, Franklin Angelo Mezoni, Maressa Fontana Trojan, Flávio Academic Department of Physics Statistics and Mathematics (DAFEM) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Paraná Francisco Beltrão 85602-863 Brazil Post-Graduate Program in Production Engineering (PPGEP) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Paraná Ponta Grossa 84017-220 Brazil Academic Departments of Engineering (DAENG) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Paraná Francisco Beltrão 85602-863 Brazil State University of Western Parana (UNIOESTE) Rua Maringá 1200 Francisco Beltrão 85605-010 Brazil Academic Department of Electronics (DAELE) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Paraná Ponta Grossa 84017-220 Brazil

International airports play a significant role in a country's economic development. We propose an integrated framework for operational efficiency analysis using Data Envelopment Analysis, Windows Analysis, and Malmquist Index to identify inefficiencies and areas of improvement in the air transportation industry. This study analyzed 23 Brazilian international airports from 2010 to 2021, using the DEA Window Analysis (DEAWA) combined with the Index (MI). The airports were grouped geographically in southern Brazil. The integration of these methods brought an important insight to the evaluation processes, even for those previously analyzed using DEA. The analyses found that COVID-19 potently influenced the drop in the efficiency index. No airport was fully efficient over the analyzed periods. Private airports achieved an efficiency index slightly higher than public ones, but the difference of the efficiency index by public–private management type is not clear. This type of analysis provides a strategic and comparative tool, making it possible to understand better the weaknesses of the air transportation system. © 2024 The Author(s)

关键词： Airports management COVID-19 Data envelopment analysis Efficiency index Malmquist index Window analysis

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：