Academic literature on the topic 'Multi scale methods'

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Journal articles on the topic "Multi scale methods"

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Liu, Wing Kam, Su Hao, Ted Belytschko, Shaofan Li, and Chin Tang Chang. "Multi-scale methods." International Journal for Numerical Methods in Engineering 47, no. 7 (March 10, 2000): 1343–61. http://dx.doi.org/10.1002/(sici)1097-0207(20000310)47:7<1343::aid-nme828>3.0.co;2-w.

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de Borst, R. "Multi-Scale Methods and Evolving Discontinuities." Computational Technology Reviews 1 (September 14, 2010): 1–28. http://dx.doi.org/10.4203/ctr.1.1.

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Zhou, Xiaoxiang, and Leilei Chen. "Review on Multi-scale Simulation Methods." IOP Conference Series: Materials Science and Engineering 394 (August 7, 2018): 032139. http://dx.doi.org/10.1088/1757-899x/394/3/032139.

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Greve, L., and S. Vlachoutsis. "Multi-scale and multi-model methods for efficient crash simulation." International Journal of Crashworthiness 12, no. 4 (October 3, 2007): 437–48. http://dx.doi.org/10.1080/13588260701483425.

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Bardi, Istvan, Kezhong Zhao, Rickard Petersson, John Silvestro, and Nancy Lambert. "Multi-domain multi-scale problems in high frequency finite element methods." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 32, no. 5 (September 9, 2013): 1471–83. http://dx.doi.org/10.1108/compel-04-2013-0123.

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Mylonakis, A. G., M. Varvayanni, N. Catsaros, P. Savva, and D. G. E. Grigoriadis. "Multi-physics and multi-scale methods used in nuclear reactor analysis." Annals of Nuclear Energy 72 (October 2014): 104–19. http://dx.doi.org/10.1016/j.anucene.2014.05.002.

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Pereira, Drew Joseph, Taylor R. Garrick, and John W. Weidner. "Improvements to Multi-Scale, Mechano-Electrochemical Modeling Methods." ECS Meeting Abstracts MA2020-02, no. 68 (November 23, 2020): 3508. http://dx.doi.org/10.1149/ma2020-02683508mtgabs.

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Heinz, Stefan. "Stochastic Multi-Scale Methods for Turbulent Flow Simulations." PAMM 6, no. 1 (December 2006): 669–70. http://dx.doi.org/10.1002/pamm.200610315.

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Avramova, Maria, Agustin Abarca, Jason Hou, and Kostadin Ivanov. "Innovations in Multi-Physics Methods Development, Validation, and Uncertainty Quantification." Journal of Nuclear Engineering 2, no. 1 (March 7, 2021): 44–56. http://dx.doi.org/10.3390/jne2010005.

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This paper provides a review of current and upcoming innovations in development, validation, and uncertainty quantification of nuclear reactor multi-physics simulation methods. Multi-physics modelling and simulations (M&S) provide more accurate and realistic predictions of the nuclear reactors behavior including local safety parameters. Multi-physics M&S tools can be subdivided in two groups: traditional multi-physics M&S on assembly/channel spatial scale (currently used in industry and regulation), and novel high-fidelity multi-physics M&S on pin (sub-pin)/sub-channel spatial scale. The current trends in reactor design and safety analysis are towards further development, verification, and validation of multi-physics multi-scale M&S combined with uncertainty quantification and propagation. Approaches currently applied for validation of the traditional multi-physics M&S are summarized and illustrated using established Nuclear Energy Agency/Organization for Economic Cooperation and Development (NEA/OECD) multi-physics benchmarks. Novel high-fidelity multi-physics M&S allow for insights crucial to resolve industry challenge and high impact problems previously impossible with the traditional tools. Challenges in validation of novel multi-physics M&S are discussed along with the needs for developing validation benchmarks based on experimental data. Due to their complexity, the novel multi-physics codes are still computationally expensive for routine applications. This fact motivates the use of high-fidelity novel models and codes to inform the low-fidelity traditional models and codes, leading to improved traditional multi-physics M&S. The uncertainty quantification and propagation across different scales (multi-scale) and multi-physics phenomena are demonstrated using the OECD/NEA Light Water Reactor Uncertainty Analysis in Modelling benchmark framework. Finally, the increasing role of data science and analytics techniques in development and validation of multi-physics M&S is summarized.
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Allard, William K., Guangliang Chen, and Mauro Maggioni. "Multi-scale geometric methods for data sets II: Geometric Multi-Resolution Analysis." Applied and Computational Harmonic Analysis 32, no. 3 (May 2012): 435–62. http://dx.doi.org/10.1016/j.acha.2011.08.001.

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Dissertations / Theses on the topic "Multi scale methods"

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Zettervall, Niklas. "Multi-scale methods for stochastic differential equations." Thesis, Umeå universitet, Institutionen för fysik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-53704.

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Standard Monte Carlo methods are used extensively to solve stochastic differential equations. This thesis investigates a Monte Carlo (MC) method called multilevel Monte Carlo that solves the equations on several grids, each with a specific number of grid points. The multilevel MC reduces the computational cost compared to standard MC. When using a fixed computational cost the variance can be reduced by using the multilevel method compared to the standard one. Discretization and statistical error calculations are also being conducted and the possibility to evaluate the errors coupled with the multilevel MC creates a powerful numerical tool for calculating equations numerically. By using the multilevel MC method together with the error calculations it is possible to efficiently determine how to spend an extended computational budget.
Standard Monte Carlo metoder används flitigt för att lösa stokastiska differentialekvationer. Denna avhandling undersöker en Monte Carlo-metod (MC) kallad multilevel Monte Carlo som löser ekvationerna på flera olika rutsystem, var och en med ett specifikt antal punkter. Multilevel MC reducerar beräkningskomplexiteten jämfört med standard MC. För en fixerad beräkningskoplexitet kan variansen reduceras genom att multilevel MC-metoden används istället för standard MC-metoden. Diskretiserings- och statistiska felberäkningar görs också och möjligheten att evaluera de olika felen, kopplat med multilevel MC-metoden skapar ett kraftfullt verktyg för numerisk beräkning utav ekvationer. Genom att använda multilevel MC tillsammans med felberäkningar så är det möjligt att bestämma hur en utökad beräkningsbudget speneras så effektivt som möjligt.
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Munafo, Alessandro. "Multi-Scale models and computational methods for aerothermodynamics." Phd thesis, Ecole Centrale Paris, 2014. http://tel.archives-ouvertes.fr/tel-00997437.

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This thesis aimed at developing multi-scale models and computational methods for aerother-modynamics applications. The research on multi-scale models has focused on internal energy excitation and dissociation of molecular gases in atmospheric entry flows. The scope was two-fold: to gain insight into the dynamics of internal energy excitation and dissociation in the hydrodynamic regime and to develop reduced models for Computational Fluid Dynamics applications. The reduced models have been constructed by coarsening the resolution of a detailed rovibrational collisional model developed based on ab-initio data for the N2 (1Σ+g)-N (4Su) system provided by the Computational Quantum Chemistry Group at NASA Ames Research Center. Different mechanism reduction techniques have been proposed. Their appli-cation led to the formulation of conventional macroscopic multi-temperature models and vi-brational collisional models, and innovative energy bin models. The accuracy of the reduced models has been assessed by means of a systematic comparison with the predictions of the detailed rovibrational collisional model. Applications considered are inviscid flows behind normal shock waves, within converging-diverging nozzles and around axisymmetric bodies, and viscous flows along the stagnation-line of blunt bodies. The detailed rovibrational colli-sional model and the reduced models have been coupled to two flow solvers developed from scratch in FORTRAN 90 programming language (SHOCKING_F90 and SOLV-ER_FVMCC_F90). The results obtained have shown that the innovative energy bin models are able to reproduce the flow dynamics predicted by the detailed rovibrational collisional model with a noticeable benefit in terms of computing time. The energy bin models are also more accurate than the conventional multi-temperature and vibrational collisional models. The research on computational methods has focused on rarefied flows. The scope was to formu-late a deterministic numerical method for solving the Boltzmann equation in the case of multi-component gases with internal energy by accounting for both elastic and inelastic collisions. The numerical method, based on the weighted convolution structure of the Fourier trans-formed Boltzmann equation, is an extension of an existing spectral-Lagrangian method, valid for a mono-component gas without internal energy. During the development of the method, particular attention has been devoted to ensure the conservation of mass, momentum and en-ergy while evaluating the collision operators. Conservation is enforced through the solution of constrained optimization problems, formulated in a consistent manner with the collisional in-variants. The extended spectral-Lagrangian method has been implemented in a parallel com-putational tool (best; Boltzmann Equation Spectral Solver) written in C programming lan-guage. Applications considered are the time-evolution of an isochoric gaseous system initially set in a non-equilibrium state and the steady flow across a normal shock wave. The accuracy of the proposed numerical method has been assessed by comparing the moments extracted from the velocity distribution function with Direct Simulation Monte Carlo (DSMC) method predictions. In all the cases, an excellent agreement has been found. The computational results obtained for both space homogeneous and space inhomogeneous problems have also shown that the enforcement of conservation is mandatory for obtaining accurate numerical solutions.
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Holst, Henrik. "Multi-scale methods for wave propagation in heterogeneous media." Licentiate thesis, Stockholm : Datavetenskap och kommunikation, Kungliga Tekniska högskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-10511.

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Liu, Zhen. "Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/19191.

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In this thesis we study stochastic modeling and simulation methods for biochemical systems. The thesis is focused on systems with multi-state and multi-scale features and divided into two parts. In the first part, we propose new algorithms that improve existing multi-state simulation methods. We first compare the well known Gillespie\\\'s stochastic simulation algorithm (SSA) with the StochSim, an agent-based simulation method. Based on the analysis, we propose a hybrid method that possesses the advantages of both methods. Then we propose two new methods that extend the Network-Free Algorithm (NFA) for rule-based models. Numerical results are provided to show the performance improvement by our new methods. In the second part, we investigate two simulation schemes for the multi-scale feature: Haseltine and Rawlings\\\' hybrid method and the quasi-steady-state stochastic simulation method. We first propose an efficient partitioning strategy for the hybrid method and an efficient way of building stochastic cell cycle models with this new partitioning strategy. Then, to understand conditions where the two simulation methods can be applied, we develop a way to estimate the relaxation time of the fast sub-network, and compare it with the firing interval of the slow sub-network. Our analysis are verified by numerical experiments on different realistic biochemical models.
Ph. D.
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Joung, Young Soo. "Electric field based fabrication methods for multi-scale structured surfaces." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92160.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 217-227).
Control of micro/nano scale surface structures and properties is crucial to developing novel functional materials. From an engineering point of view, the development of scalable and economical micro/nano-fabrication methods has been in high demand. In this dissertation, electrophoretic deposition (EPD) and breakdown anodization (BDA) are examined for their potential to produce multi-scale structured surfaces. EPD uses electrophoresis to deposit thin films of nanoparticles, dispersed in suspension, onto charged or porous substrates. Depending upon the dispersion stability, the surface roughness can be modulated in order to affect the resulting wettability. BDA can be utilized to alter surface features by employing instabilities during high voltage anodization, which lead to micro scale topography. Different microporous structures are generated depending on electric potential and electrolyte temperature during BDA. A hybrid method employing EPD and BDA results in hierarchical surface structures with both nano/micro scale features. In this work EPD and BDA are utilized for the development of superhydrophobic and superhydrophilic surfaces; sample applications include anti-wetting fabric, capillarity driven flow design, and critical heat flux enhancement. In many applications it is critical to understand how moving liquid water droplets will behave when they encounter these modified surfaces. We investigate drop impingement on porous thin films produced by BDA and EPD in order to understand the effects of surface structure and chemical properties on droplet dynamics. Using dimensional analysis we've discovered a novel dimensionless parameter, named the Washburn- Reynolds number, which can predict the droplet impingement modes. Intriguingly we've also discovered that under certain conditions drop impingement results in gas trapped in the spreading droplet, leading to the generation of aerosol above the droplet when the gas bubbles burst. The Washburn-Reynolds number also largely dictates the aerosol generation process. Our results inform the understanding of dynamic interactions between porous surfaces and liquid drops for applications ranging from droplet microfluidics to aerosol generators. In summary, EPD and BDA provide promising micro and nano-scale fabrication technologies with reasonable control of surface morphology and properties in a cost-effective and time-effective and scalable.
by Young Soo Joung.
Ph. D.
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Feickert, Aaron James. "Multi-Scale Simulation Methods of Crosslinked Polymer Networks and Degradation." Diss., North Dakota State University, 2018. https://hdl.handle.net/10365/28764.

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Crosslinked thermoset polymers are used heavily in industrial and consumer products, as well as in infrastructure. When used as a protective coating, a thermoset's net-like structure can act as a barrier to protect an underlying substrate from permeation of moisture, salt, or other chemicals that otherwise weaken the coating or lead to substrate corrosion. Understanding how such coatings degrade, both at microscopic and macroscopic scales, is essential for the development and testing of materials for optimal service life. Several numerical and computational techniques are used to analyze the behavior of model crosslinked polymer networks under changing conditions at a succession of scales. Molecular dynamics is used to show the effects of cooling and constraints on cavitation behavior in coarse-grained bulk thermosets, as well as to investigate dynamical behavior under varying degradation conditions. Finite-element analysis is applied to examine strain distributions and loci of failure in several macroscopic coated test panel designs, discussing the effects of flexure and coating stack moduli. Finally, the transport of moisture through model coatings under cycled conditions is examined by lattice Boltzmann numerical techniques, considering several common concentration-dependent diffusivity models used in the literature and suggesting an optimal behavior regime for non-constant diffusivity.
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Wei, Jiangong. "Surface Integral Equation Methods for Multi-Scale and Wideband Problems." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1408653442.

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Sbailò, Luigi [Verfasser]. "Efficient multi-scale sampling methods in statistical physics / Luigi Sbailò." Berlin : Freie Universität Berlin, 2020. http://d-nb.info/1206180722/34.

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Mahler, Nicolas. "Machine learning methods for discrete multi-scale fows : application to finance." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2012. http://tel.archives-ouvertes.fr/tel-00749717.

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This research work studies the problem of identifying and predicting the trends of a single financial target variable in a multivariate setting. The machine learning point of view on this problem is presented in chapter I. The efficient market hypothesis, which stands in contradiction with the objective of trend prediction, is first recalled. The different schools of thought in market analysis, which disagree to some extent with the efficient market hypothesis, are reviewed as well. The tenets of the fundamental analysis, the technical analysis and the quantitative analysis are made explicit. We particularly focus on the use of machine learning techniques for computing predictions on time-series. The challenges of dealing with dependent and/or non-stationary features while avoiding the usual traps of overfitting and data snooping are emphasized. Extensions of the classical statistical learning framework, particularly transfer learning, are presented. The main contribution of this chapter is the introduction of a research methodology for developing trend predictive numerical models. It is based on an experimentation protocol, which is made of four interdependent modules. The first module, entitled Data Observation and Modeling Choices, is a preliminary module devoted to the statement of very general modeling choices, hypotheses and objectives. The second module, Database Construction, turns the target and explanatory variables into features and labels in order to train trend predictive numerical models. The purpose of the third module, entitled Model Construction, is the construction of trend predictive numerical models. The fourth and last module, entitled Backtesting and Numerical Results, evaluates the accuracy of the trend predictive numerical models over a "significant" test set via two generic backtesting plans. The first plan computes recognition rates of upward and downward trends. The second plan designs trading rules using predictions made over the test set. Each trading rule yields a profit and loss account (P&L), which is the cumulated earned money over time. These backtesting plans are additionally completed by interpretation functionalities, which help to analyze the decision mechanism of the numerical models. These functionalities can be measures of feature prediction ability and measures of model and prediction reliability. They decisively contribute to formulating better data hypotheses and enhancing the time-series representation, database and model construction procedures. This is made explicit in chapter IV. Numerical models, aiming at predicting the trends of the target variables introduced in chapter II, are indeed computed for the model construction methods described in chapter III and thoroughly backtested. The switch from one model construction approach to another is particularly motivated. The dramatic influence of the choice of parameters - at each step of the experimentation protocol - on the formulation of conclusion statements is also highlighted. The RNN procedure, which does not require any parameter tuning, has thus been used to reliably study the efficient market hypothesis. New research directions for designing trend predictive models are finally discussed.
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Castronovo, Anna Margherita <1984&gt. "Techniques and Methods for a multi-scale analysis of neuromuscular fatigue." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6274/7/Castronovo_AnnaMargherita_tesi.pdf.

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This thesis proposes an integrated holistic approach to the study of neuromuscular fatigue in order to encompass all the causes and all the consequences underlying the phenomenon. Starting from the metabolic processes occurring at the cellular level, the reader is guided toward the physiological changes at the motorneuron and motor unit level and from this to the more general biomechanical alterations. In Chapter 1 a list of the various definitions for fatigue spanning several contexts has been reported. In Chapter 2, the electrophysiological changes in terms of motor unit behavior and descending neural drive to the muscle have been studied extensively as well as the biomechanical adaptations induced. In Chapter 3 a study based on the observation of temporal features extracted from sEMG signals has been reported leading to the need of a more robust and reliable indicator during fatiguing tasks. Therefore, in Chapter 4, a novel bi-dimensional parameter is proposed. The study on sEMG-based indicators opened a scenario also on neurophysiological mechanisms underlying fatigue. For this purpose, in Chapter 5, a protocol designed for the analysis of motor unit-related parameters during prolonged fatiguing contractions is presented. In particular, two methodologies have been applied to multichannel sEMG recordings of isometric contractions of the Tibialis Anterior muscle: the state-of-the-art technique for sEMG decomposition and a coherence analysis on MU spike trains. The importance of a multi-scale approach has been finally highlighted in the context of the evaluation of cycling performance, where fatigue is one of the limiting factors. In particular, the last chapter of this thesis can be considered as a paradigm: physiological, metabolic, environmental, psychological and biomechanical factors influence the performance of a cyclist and only when all of these are kept together in a novel integrative way it is possible to derive a clear model and make correct assessments.
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Books on the topic "Multi scale methods"

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Liu, Mou-Bin. Particle methods for multi-scale and multi-physics. New Jersey: World Scientific, 2016.

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Romeny, Bart M. ter Haar. Front-end vision and multi-scale image analysis: Multi-scale computer vision theory and applications, written in Mathematica. [Dordrecht]: Springer, 2008.

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Bart M. ter Haar Romeny. Front-end vision and multi-scale image analysis: Multi-scale computer vision theory and applications, written in Mathematica. [Dordrecht]: Springer, 2008.

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Bart M. ter Haar Romeny. Front-end vision and multi-scale image analysis: Multi-scale computer vision theory and applications, written in Mathematica. Dordrecht: Kluwer Academic, 2003.

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T, Dubois, Temam Roger, and Langley Research Center, eds. The nonlinear Galerkin method: A multi-scale method applied to the simulation of homogeneous turbulent flows. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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Jebahi, Mohamed, Frédéric Dau, Jean-Luc Charles, and Ivan Iordanoff. Discrete-Continuum Coupling Method to Simulate Highly Dynamic Multi-Scale Problems. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119115274.

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Skip. Marketing scales handbook: A compilation of multi-item measures. Chicago, Ill., USA: American Marketing Association, 1994.

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Center, Langley Research, ed. Analytic and computational perspectives of multi-scale theory for homogeneous, laminated composite, and sandwich beams and plates. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2012.

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Liu, M. B., and Gui-Rong Liu. Particle Methods for Multi-Scale and Multi-Physics. World Scientific Publishing Co Pte Ltd, 2015.

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Liu, M. B. Particle Methods for Multi-Scale and Multi-Physics. World Scientific Publishing Co Pte Ltd, 2015.

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Book chapters on the topic "Multi scale methods"

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Johnson, Michel B., and Mary Anne White. "Thermal Methods." In Multi Length-Scale Characterisation, 63–119. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118683972.ch2.

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Franzke, Christian L. E., Marcel Oliver, Jens D. M. Rademacher, and Gualtiero Badin. "Multi-scale Methods for Geophysical Flows." In Mathematics of Planet Earth, 1–51. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05704-6_1.

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Grzhibovskis, Richards, Christian Michel, and Sergej Rjasanow. "Fast Boundary Element Methods for Composite Materials." In Multi-scale Simulation of Composite Materials, 97–141. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-57957-2_5.

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Lindeberg, Tony, and Lars Bretzner. "Real-Time Scale Selection in Hybrid Multi-scale Representations." In Scale Space Methods in Computer Vision, 148–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44935-3_11.

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Pahl-Wostl, Claudia. "Multi-level and Cross-Scale Governance." In Water Governance - Concepts, Methods, and Practice, 99–124. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21855-7_6.

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Zhang, Lucy T., Wing K. Liu, Shao F. Li, Dong Qian, and Su Hao. "Survey of Multi-Scale Meshfree Particle Methods." In Lecture Notes in Computational Science and Engineering, 441–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-56103-0_30.

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de Borst, René. "Computational Multi-Scale Methods and Evolving Discontinuities." In Computational Structural Engineering, 3–9. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2822-8_1.

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O’Malley, Robert E. "Two-Timing, Geometric, and Multi-scale Methods." In Historical Developments in Singular Perturbations, 141–81. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11924-3_5.

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Navas, Pedro, Susana López-Querol, Rena C. Yu, and Bo Li. "Meshfree Methods Applied to Consolidation Problems in Saturated Soils." In Innovative Numerical Approaches for Multi-Field and Multi-Scale Problems, 241–64. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39022-2_11.

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Prieto, Juan Luis. "Multi-scale Simulation of Newtonian and Non-Newtonian Multi-phase Flows." In Computational Methods in Applied Sciences, 379–98. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27996-1_14.

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Conference papers on the topic "Multi scale methods"

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Fu, Dayuan, Biqing Qi, Yihuai Gao, Che Jiang, Guanting Dong, and Bowen Zhou. "MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 643–59. Stroudsburg, PA, USA: Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.38.

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Watts, Ishaan, Varun Gumma, Aditya Yadavalli, Vivek Seshadri, Manohar Swaminathan, and Sunayana Sitaram. "PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 7900–7932. Stroudsburg, PA, USA: Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.451.

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Li, Zhun, Yan Zhang, and Wei Li. "Fusion of L2 Regularisation and Hybrid Sampling Methods for Multi-Scale SincNet Audio Recognition." In 2024 IEEE 7th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 1556–60. IEEE, 2024. http://dx.doi.org/10.1109/itnec60942.2024.10733176.

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Rau, Christoph, Darren J. Batey, Andrew J. Bodey, Silvia Cipiccia, Peng Li, Shashidhara Marathe, Malte Storm, Gunjan Das, and Ralf Ziesche. "Fast multi-scale x-ray imaging." In X-Ray Nanoimaging: Instruments and Methods V, edited by Barry Lai and Andrea Somogyi. SPIE, 2021. http://dx.doi.org/10.1117/12.2596477.

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Esposito, Adelano, and Herbert Martins Gomes. "Multi-Scale System Reliability Analysis." In XXXVI Iberian Latin American Congress on Computational Methods in Engineering. Rio de Janeiro, Brazil: ABMEC Brazilian Association of Computational Methods in Engineering, 2015. http://dx.doi.org/10.20906/cps/cilamce2015-0445.

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Castet, Frédéric, Benoi^t Champagne, Masayoshi Nakano, Hideaki Takahashi, George Maroulis, and Theodore E. Simos. "Multi-scale simulations for materials and life sciences." In Computational Methods in Science and Engineering. AIP, 2007. http://dx.doi.org/10.1063/1.2827019.

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Fichtner, Andreas, Michael Afanasiev, Korbinian Sager, and Laura Ermert. "MULTI-SCALE/MULTI-DATA INVERSION FOR ELASTIC EARTH STRUCTURE - A CONCEPT." In 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2015. http://dx.doi.org/10.7712/120115.3442.396.

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Ely, Gregory, and Shuchin Aeron. "Methods for large scale hydraulic fracture monitoring." In 2013 IEEE 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, 2013. http://dx.doi.org/10.1109/camsap.2013.6714060.

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Mohan, Ram, Arunachalam Rajendran, and Wayne Hodo. "COMPUTATIONAL MODELING OF MULTI-SCALE FEATURES IN CEMENTITIOUS MATERIALS." In 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2015. http://dx.doi.org/10.7712/120115.3571.1914.

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Rocha, Felipe Figueredo, Pablo Javier Blanco, Raúl Feijóo, Pablo Javier Sánchez, and Alfredo Edmundo Huespe. "A multi-scale approach to model arterial tissue." In XXXVI Iberian Latin American Congress on Computational Methods in Engineering. Rio de Janeiro, Brazil: ABMEC Brazilian Association of Computational Methods in Engineering, 2015. http://dx.doi.org/10.20906/cps/cilamce2015-0241.

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Reports on the topic "Multi scale methods"

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Cai, Wei. Multi-scale and Multi-physics Numerical Methods for Modeling Transport in Mesoscopic Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada572398.

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Cai, Wei. Multi-scale and Multi-physics Numerical Methods for Modeling Transport in Mesoscopic Systems. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada617374.

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Downar, Thomas, and Volkan Seker. Multi-Scale Multi-physics Methods Development for the Calculation of Hot-Spots in the NGNP. Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1082926.

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Ayoul-Guilmard, Q., F. Nobile, S. Ganesh, M. Nuñez, R. Tosi, C. Soriano, and R. Rosi. D5.5 Report on the application of multi-level Monte Carlo to wind engineering. Scipedia, 2022. http://dx.doi.org/10.23967/exaqute.2022.3.03.

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We study the use of multi-level Monte Carlo methods for wind engineering. This report brings together methodological research on uncertainty quantification and work on target applications of the ExaQUte project in wind and civil engineering. First, a multi-level Monte Carlo for the estimation of the conditional value at risk and an adaptive algorithm are presented. Their reliability and performance are shown on the time-average of a non-linear oscillator and on the lift coefficient of an airfoil, with both preset and adaptively refined meshes. Then, we propose an adaptive multi-fidelity Monte Carlo algorithm for turbulent fluid flows where multilevel Monte Carlo methods were found to be inefficient. Its efficiency is studied and demonstrated on the benchmark problem of quantifying the uncertainty on the drag force of a tall building under random turbulent wind conditions. All numerical experiments showcase the open-source software stack of the ExaQUte project for large-scale computing in a distributed environment.
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Chapman, Ray, Phu Luong, Sung-Chan Kim, and Earl Hayter. Development of three-dimensional wetting and drying algorithm for the Geophysical Scale Transport Multi-Block Hydrodynamic Sediment and Water Quality Transport Modeling System (GSMB). Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41085.

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The Environmental Laboratory (EL) and the Coastal and Hydraulics Laboratory (CHL) have jointly completed a number of large-scale hydrodynamic, sediment and water quality transport studies. EL and CHL have successfully executed these studies utilizing the Geophysical Scale Transport Modeling System (GSMB). The model framework of GSMB is composed of multiple process models as shown in Figure 1. Figure 1 shows that the United States Army Corps of Engineers (USACE) accepted wave, hydrodynamic, sediment and water quality transport models are directly and indirectly linked within the GSMB framework. The components of GSMB are the two-dimensional (2D) deep-water wave action model (WAM) (Komen et al. 1994, Jensen et al. 2012), data from meteorological model (MET) (e.g., Saha et al. 2010 - http://journals.ametsoc.org/doi/pdf/10.1175/2010BAMS3001.1), shallow water wave models (STWAVE) (Smith et al. 1999), Coastal Modeling System wave (CMS-WAVE) (Lin et al. 2008), the large-scale, unstructured two-dimensional Advanced Circulation (2D ADCIRC) hydrodynamic model (http://www.adcirc.org), and the regional scale models, Curvilinear Hydrodynamics in three dimensions-Multi-Block (CH3D-MB) (Luong and Chapman 2009), which is the multi-block (MB) version of Curvilinear Hydrodynamics in three-dimensions-Waterways Experiments Station (CH3D-WES) (Chapman et al. 1996, Chapman et al. 2009), MB CH3D-SEDZLJ sediment transport model (Hayter et al. 2012), and CE-QUAL Management - ICM water quality model (Bunch et al. 2003, Cerco and Cole 1994). Task 1 of the DOER project, “Modeling Transport in Wetting/Drying and Vegetated Regions,” is to implement and test three-dimensional (3D) wetting and drying (W/D) within GSMB. This technical note describes the methods and results of Task 1. The original W/D routines were restricted to a single vertical layer or depth-averaged simulations. In order to retain the required 3D or multi-layer capability of MB-CH3D, a multi-block version with variable block layers was developed (Chapman and Luong 2009). This approach requires a combination of grid decomposition, MB, and Message Passing Interface (MPI) communication (Snir et al. 1998). The MB single layer W/D has demonstrated itself as an effective tool in hyper-tide environments, such as Cook Inlet, Alaska (Hayter et al. 2012). The code modifications, implementation, and testing of a fully 3D W/D are described in the following sections of this technical note.
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Radcliffe, Joel, Friederike Gadow, Hannah Leary, and Rory Kelly. Doing Consent Differently: A University Practitioners’ Reflection on Delivering Large-Scale Respect and Consent Education. Journal of the Australian and New Zealand Student Services Association, April 2024. http://dx.doi.org/10.30688/janzssa.2024-1-05.

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Sexual assault and sexual harassment (SASH) remain pressing issues on university campuses, making it imperative for higher education institutions to develop prevention strategies. Within this context, education plays a pivotal role in addressing the underlying factors contributing to SASH, while also providing crucial information about care and support pathways for survivors. This paper, authored by practitioners from the Australian National University’s (ANU) Respectful Relationships Unit (RRU), reflects on the conceptualisation, implementation, and evaluation of a large-scale respect and consent education program. Tailored to ANU's context, the program utilised a multi-modal approach including an online module, face-to-face workshops, and residential hall pilots. Challenges, such as engagement and sustainability, were addressed through collaborative partnerships and continuous improvement efforts. Evaluation, conducted in collaboration with social scientists from the ANU Centre for Social Research and Methods (CSRM), provided insights for refinement and future directions. ANU's ongoing commitment to community engagement, innovation, equity, and evaluation underscores its dedication to fostering safer and more inclusive campus environments. Through collaboration and a shared commitment to prevention, ANU aims to make meaningful progress towards a campus free of sexual harm.
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Dhakal, Tilak Raj. Multi-scale calculation based on dual domain material point method combined with molecular dynamics. Office of Scientific and Technical Information (OSTI), February 2017. http://dx.doi.org/10.2172/1345173.

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de Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model development. Canada in 3D (C3D) is a vision and road map for transforming the Geological Survey of Canada's (GSC) work practice by leveraging emerging 3D technologies. Primarily the transformation from 2D geological mapping, to a well-structured 3D modelling practice that is both data-driven and knowledge-driven. It is tempting to imagine that advanced 3D computational methods, coupled with Artificial Intelligence and Big Data tools will automate the bulk of this process. To effectively apply these methods there is a need, however, for data to be in a well-organized, classified, georeferenced (3D) format embedded with key information, such as spatial-temporal relations, and earth process knowledge. Another key challenge for C3D is the relative infancy of 3D geoscience technologies for geological inference and 3D modelling using sparse and heterogeneous regional geoscience information, while preserving the insights and expertise of geoscientists maintaining scientific integrity of digital products. In most geological surveys, there remains considerable educational and operational challenges to achieve this balance of digital automation and expert knowledge. Emerging from the last two decades of research are more efficient workflows, transitioning from cumbersome, explicit (manual) to reproducible implicit semi-automated methods. They are characterized by integrated and iterative, forward and reverse geophysical modelling, coupled with stratigraphic and structural approaches. The full impact of research and development with these 3D tools, geophysical-geological integration and simulation approaches is perhaps unpredictable, but the expectation is that they will produce predictive, instructive models of Canada's geology that will be used to educate, prioritize and influence sustainable policy for stewarding our natural resources. On the horizon are 3D geological modelling methods spanning the gulf between local and frontier or green-fields, as well as deep crustal characterization. These are key components of mineral systems understanding, integrated and coupled hydrological modelling and energy transition applications, e.g. carbon sequestration, in-situ hydrogen mining, and geothermal exploration. Presented are some case study examples at a range of scales from our efforts in C3D.
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de Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331871.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model development. Canada in 3D (C3D) is a vision and road map for transforming the Geological Survey of Canada's (GSC) work practice by leveraging emerging 3D technologies. Primarily the transformation from 2D geological mapping, to a well-structured 3D modelling practice that is both data-driven and knowledge-driven. It is tempting to imagine that advanced 3D computational methods, coupled with Artificial Intelligence and Big Data tools will automate the bulk of this process. To effectively apply these methods there is a need, however, for data to be in a well-organized, classified, georeferenced (3D) format embedded with key information, such as spatial-temporal relations, and earth process knowledge. Another key challenge for C3D is the relative infancy of 3D geoscience technologies for geological inference and 3D modelling using sparse and heterogeneous regional geoscience information, while preserving the insights and expertise of geoscientists maintaining scientific integrity of digital products. In most geological surveys, there remains considerable educational and operational challenges to achieve this balance of digital automation and expert knowledge. Emerging from the last two decades of research are more efficient workflows, transitioning from cumbersome, explicit (manual) to reproducible implicit semi-automated methods. They are characterized by integrated and iterative, forward and reverse geophysical modelling, coupled with stratigraphic and structural approaches. The full impact of research and development with these 3D tools, geophysical-geological integration and simulation approaches is perhaps unpredictable, but the expectation is that they will produce predictive, instructive models of Canada's geology that will be used to educate, prioritize and influence sustainable policy for stewarding our natural resources. On the horizon are 3D geological modelling methods spanning the gulf between local and frontier or green-fields, as well as deep crustal characterization. These are key components of mineral systems understanding, integrated and coupled hydrological modelling and energy transition applications, e.g. carbon sequestration, in-situ hydrogen mining, and geothermal exploration. Presented are some case study examples at a range of scales from our efforts in C3D.
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Naddafi, Rahmat, Göran Sundblad, Alfred Sandström, Lachlan Fetterplace, Jerker Vinterstare, Martin Ogonowski, and Nataliia Kulatska. Developing management goals and associated assessment methods for Sweden’s nationally managed fish stocks : a project synthesis. Department of Aquatic Resources, Swedish University of Agricultural Sciences, 2023. http://dx.doi.org/10.54612/a.31cfjep2i0.

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This report summarizes and synthesizes results from the Swedish Agency of Marine and Water Management (SwAM, or HaV) funded project “Förvaltningsmål för nationella arter (Management goals for nationally managed species)”. The objectives of the project have been to promote the development of management goals and associated status assessment methods and indicators, as well as reference points, for some nationally managed fish stocks both in coastal as well as freshwater areas. The report focusses largely on species and stocks that can be defined as data-poor. Such stocks are characterised by marked limitations in data availability and/or resources allocated to detailed analytical stock projections. Data-poor stocks also often lack carefully formulated management goals and associated methods and indicators for assessing stock status. In this report, we provide an overview of potential assessment methods and indicators and try to synthesise how they work and what the strengths and weaknesses are by applying them to selected data poor stocks such as pikeperch, pike, whitefish, and vendace. We also discuss how they relate to different potential management goals and provide recommendations for their application. We grouped the indicators and assessment methods by the three categories that are now used in the yearly status assessment framework provided by SLU Aqua (Resursöversikten/Fiskbarometern) – i) mortality, ii) abundance/biomass and iii) size/age structure. The results are also described for these three main categories of assessment indicators. Included is also a status report from a size- and age-based population dynamics model (Stock Synthesis 3) that is being developed for pikeperch in Lake Hjälmaren. An important experience from the project is that to improve the assessment methods for Swedish national fish stocks, it is important that managers develop both general as well as more detailed quantitative goals for the individual stocks. This should ideally be conducted in various forms of collaboration with the main stakeholders and scientists involved with assessment as participatory processes foster legitimacy. Carefully articulated management goals, which are possible to translate into quantitative targets, will facilitate the development of various approaches and methods to monitor stock statuses. Given the strong and complex interactions of fish and their environments it is also important to consider other pressures than fisheries when developing indicators and assessment methods. Our synthesis highlights a number of areas where the assessment of data-poor stocks can be improved: 1. Apply precautionary principles for data-limited stocks, particularly ones that are known to be vulnerable to exploitation. 2. Tailor approaches to how fisheries are managed in Sweden. Swedish nationally managed fish stocks are not managed by quotas (with one exception, vendace in the Bothnian Bay) and do not aim for maximum sustainable yield. Instead, the coastal and inland fisheries are managed by regulating the effort in the small-scale commercial fisheries (number of fishers/licenses and amount of gear). Regulation of recreational and subsistence fisheries effort, in terms of licenses or number of fishers) is not applied, nor possible since the fisheries is lacking obligatory notification and reporting systems. All national fisheries, however, are regulated by various technical measures (closed areas, size-limits, bag-limits, gear restrictions etc). Thus, goals and assessment methods that result in harvest limits or quota recommendations expressed in e.g. biomass/numbers are difficult to use as basis for management. Instead, there is a need for alternative management goals and associated assessment methods. 3. Use best practice methods and indicators and adapt as scientific knowledge is developed. Data-limited methods are developing rapidly, and new methods/approaches are proposed in the scientific literature every year. It is thus important to be updated on the most recent developments. 4. Clearly describe limitations/assumptions of methods used. It is important to be aware of and critically evaluate the assumptions underlying the analyses, and to carefully communicate uncertainty together with the stock status assessment. 5. Be particularly careful with low sample numbers. Many indicators and methods can be applied also on small sample sizes, however, the accuracy and precision of the estimates risk being low in such cases. 6. Accept that there is no "gold standard" for fisheries assessment. Each case study is unique and needs to be balanced against data availability, local needs and other important factors. This also means that analysts need to be careful when using generic reference levels or “borrowing” data from other stocks. 7. If possible, use several different methods/indicators. Although several indicators aim to measure similar aspects of the stock, small methodological differences can support the overall interpretation of individual indicator values. It is particularly important to incorporate many aspects and indicators (size/age/abundance/mortality) in order to produce a balanced assessment. 8. Develop means of communication. Indicators and goals should be easy to understand. However, interpretation of results from multi-indicator frameworks can be challenging. There is thus a need for finding ways of communication that can convey complicated results in a simple-to-understand manner. 9. For details on additional improvements, we refer the reader to the sub-header “recommendations for the future” found under each chapter. The implementation of Stock Synthesis for pikeperch in Lake Hjälmaren showed that it is possible to develop a more ambitious and detailed stock assessment model for a relatively data-poor stock. The model results partly support earlier interpretations of the development of the stock and the importance of the changes in regulations in 2001 (increased minimum size, increased mesh size and reduced mortality of undersized pikeperch). Before the model can be implemented and used for practical management, a number of actions for improvement are needed, which are highlighted in the relevant chapter. The most important next step is establishing management goals and reference levels for this stock. We recommend that such a dialogue is initiated by managers. The fisheries management goals should consider both biomass, fisheries mortality and size-based targets. To conclude, we stress the importance of improving all ongoing aspects related to the assessments of data-poor Swedish stocks. Strong local stocks and sustainable fisheries are vital for a variety of fisheries-related businesses and practices, particularly in rural areas, providing economical and societal value. Fishes also have important roles in aquatic food-webs and it is important that ecological values are managed wisely in order to reach targets for water quality, ecosystem structure and diversity. Given the strong and complex interactions of fish and their environments it is also important to consider other pressures than fisheries when developing indicators and assessment methods.
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