Journal articles: 'Modes'

1

ROSEBERRY, WILLIAM. "Domestic Modes, Domesticated Models." Journal of Historical Sociology 1, no. 4 (December 1988): 423–30. http://dx.doi.org/10.1111/j.1467-6443.1988.tb00014.x.

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2

Caldersmith, Graham. "Coupling of violin bridge modes to corpus modes analytical model." Journal of the Acoustical Society of America 132, no. 3 (September 2012): 2069. http://dx.doi.org/10.1121/1.4755628.

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3

Aldabe, F. "Can plane wave modes be physical modes in soliton models?" Physics Letters B 351, no. 1-3 (May 1995): 257–60. http://dx.doi.org/10.1016/0370-2693(95)00385-x.

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4

Zhang, Zhenzhen, Cheng Guo, Liang Cui, Yichi Zhang, Cheng Du, and Xiaoying Li. "All-fiber few-mode erbium-doped fiber amplifier supporting six spatial modes." Chinese Optics Letters 17, no. 10 (2019): 100604. http://dx.doi.org/10.3788/col201917.100604.

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5

Van Heck, Guus L. "Modes and models in anxiety." Anxiety Research 1, no. 3 (January 1988): 199–214. http://dx.doi.org/10.1080/08917778808248719.

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6

Modak, S. V. "Model updating using uncorrelated modes." Journal of Sound and Vibration 333, no. 11 (May 2014): 2297–322. http://dx.doi.org/10.1016/j.jsv.2014.01.013.

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7

Stoitcheva, G., A. Ludu, and J. P. Draayer. "Antisoliton model for fission modes." Mathematics and Computers in Simulation 55, no. 4-6 (March 2001): 621–25. http://dx.doi.org/10.1016/s0378-4754(00)00290-1.

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8

Chenchen Zhao, Chenchen Zhao, Ji Chen Ji Chen, Hanmeng Li Hanmeng Li, Tao Li Tao Li, and Shining Zhu Shining Zhu. "Mode division multiplexed holography by out-of-plane scattering of plasmon/guided modes." Chinese Optics Letters 16, no. 7 (2018): 070901. http://dx.doi.org/10.3788/col201816.070901.

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9

Huang, W. N., and J. W. Rasul. "Collective modes in theU=∞ Hubbard model." Physical Review B 45, no. 8 (February 15, 1992): 3995–99. http://dx.doi.org/10.1103/physrevb.45.3995.

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10

Lema, Gareth M. C., and Anthony Auerbach. "Modes and models of GABAAreceptor gating." Journal of Physiology 572, no. 1 (March 28, 2006): 183–200. http://dx.doi.org/10.1113/jphysiol.2005.099093.

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11

Hamada, Y., and T. Kobayashi. "Massive Modes in Magnetized Brane Models." Progress of Theoretical Physics 128, no. 5 (November 1, 2012): 903–23. http://dx.doi.org/10.1143/ptp.128.903.

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12

Fernandez, Enrique, Joaquin de Cea, Michael Florian, and Enrique Cabrera. "Network Equilibrium Models with Combined Modes." Transportation Science 28, no. 3 (August 1994): 182–92. http://dx.doi.org/10.1287/trsc.28.3.182.

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13

Guenther, D. B., P. Demarque, M. H. Pinsonneault, and Y. C. Kim. "Standard solar model. II - g-modes." Astrophysical Journal 392 (June 1992): 328. http://dx.doi.org/10.1086/171432.

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14

Rüdiger, G., D. Elstner, and M. Schultz. "The Galactic Dynamo: Modes and Models." Symposium - International Astronomical Union 157 (1993): 321–31. http://dx.doi.org/10.1017/s0074180900174364.

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The hitherto known essentials of the present-day dynamo theory of the galactic magnetic fields are reported. The vertical stratification of the interstellar turbulence is exclusively considered as the source of the α-effect. New expressions for this tensorial effect and its quenching by the field are applied. Although its anisotropy and the influence of the halo easily yield the excitation of non-axisymmetric magnetic configurations of diverse equatorial symmetry, the galactic differential rotation finally leads to axisymmetric and quadrupolar solutions. The magnetic strength of the dynamo fields slightly exceeds the equipartition value while its angular momentum transport (into the intergalactic space) is very small.For increasingly steep vertical gradients of the turbulence intensity a saturation of the field strength is found since the eddy diffusivity grows with the α-effect. Only beyond the maximum of the field the equatorial symmetry changes to an equatorial antisymmetry,i.e.to dipolar solutions.In order to produce the observed values of the pitch angles one has only to choose correlation times of the turbulence slightly exceeding the usually accepted 107yrs.

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15

Essex, Christopher, and Anastasios A. Tsonis. "Model falsifiability and climate slow modes." Physica A: Statistical Mechanics and its Applications 502 (July 2018): 554–62. http://dx.doi.org/10.1016/j.physa.2018.02.090.

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16

Rakowski, Mark. "Topological modes in dual lattice models." Physical Review D 52, no. 1 (July 1, 1995): 354–57. http://dx.doi.org/10.1103/physrevd.52.354.

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17

Cristina Tavares, Maria, José Pissolato Filho, and Carlos Manuel Portela. "Quasi-modes multiphase transmission line model." Electric Power Systems Research 49, no. 3 (April 1999): 159–67. http://dx.doi.org/10.1016/s0378-7796(98)00105-9.

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18

Gilmer, George H., and Marcia H. Grabow. "Models of Thin Film Growth Modes." JOM 39, no. 6 (June 1987): 19–23. http://dx.doi.org/10.1007/bf03258055.

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19

Takeno, Shozo, and Michel Peyrard. "Nonlinear modes in coupled rotator models." Physica D: Nonlinear Phenomena 92, no. 3-4 (May 1996): 140–63. http://dx.doi.org/10.1016/0167-2789(95)00284-7.

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20

Palumbo, Fabrizio. "Collective Modes in BCS-Like Models." Journal of Superconductivity and Novel Magnetism 31, no. 3 (November 16, 2017): 625–29. http://dx.doi.org/10.1007/s10948-017-4420-y.

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21

Hotta, K., K. Kikkawa, and H. Kunitomo. "Correlation between Momentum Modes and Winding Modes in Brandenberger-Vafa's String Cosmological Model." Progress of Theoretical Physics 98, no. 3 (September 1, 1997): 687–706. http://dx.doi.org/10.1143/ptp.98.687.

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22

Shi, Junjie, Jiang Bian, Jakob Richter, Kuan-Hsun Chen, Jörg Rahnenführer, Haoyi Xiong, and Jian-Jia Chen. "MODES: model-based optimization on distributed embedded systems." Machine Learning 110, no. 6 (June 2021): 1527–47. http://dx.doi.org/10.1007/s10994-021-06014-6.

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AbstractThe predictive performance of a machine learning model highly depends on the corresponding hyper-parameter setting. Hence, hyper-parameter tuning is often indispensable. Normally such tuning requires the dedicated machine learning model to be trained and evaluated on centralized data to obtain a performance estimate. However, in a distributed machine learning scenario, it is not always possible to collect all the data from all nodes due to privacy concerns or storage limitations. Moreover, if data has to be transferred through low bandwidth connections it reduces the time available for tuning. Model-Based Optimization (MBO) is one state-of-the-art method for tuning hyper-parameters but the application on distributed machine learning models or federated learning lacks research. This work proposes a framework $$\textit{MODES}$$ MODES that allows to deploy MBO on resource-constrained distributed embedded systems. Each node trains an individual model based on its local data. The goal is to optimize the combined prediction accuracy. The presented framework offers two optimization modes: (1) $$\textit{MODES}$$ MODES -B considers the whole ensemble as a single black box and optimizes the hyper-parameters of each individual model jointly, and (2) $$\textit{MODES}$$ MODES -I considers all models as clones of the same black box which allows it to efficiently parallelize the optimization in a distributed setting. We evaluate $$\textit{MODES}$$ MODES by conducting experiments on the optimization for the hyper-parameters of a random forest and a multi-layer perceptron. The experimental results demonstrate that, with an improvement in terms of mean accuracy ($$\textit{MODES}$$ MODES -B), run-time efficiency ($$\textit{MODES}$$ MODES -I), and statistical stability for both modes, $$\textit{MODES}$$ MODES outperforms the baseline, i.e., carry out tuning with MBO on each node individually with its local sub-data set.

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23

Dhia, Anne-Sophie Bonnet-Ben, and Fabrice Mahé. "A guided mode in the range of the radiation modes for a rib waveguide." Journal of Optics 28, no. 1 (February 1997): 41–43. http://dx.doi.org/10.1088/0150-536x/28/1/008.

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24

Goncharov, V., and V. Pavlov. "Null modes effect in Rossby wave model." Nonlinear Processes in Geophysics 11, no. 3 (May 28, 2004): 281–93. http://dx.doi.org/10.5194/npg-11-281-2004.

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Abstract. The problem of the null-modes existence and some particularities of their interaction with nonlinear vortex-wave-like structures is discussed. We show that the null-modes are fundamental elements of nonlinear wave fields. The conditions under which null-modes can manifest themselves are elucidated. The Rossby-Hasegawa-Mima (RHM) model is used for the illustration of features of null-modes-waves interactions.

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25

Kaufman, Sharon R. "Modes of Attention: Modes of Storytelling." Medical Anthropology 39, no. 4 (January 24, 2020): 361–64. http://dx.doi.org/10.1080/01459740.2020.1714610.

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26

Mirbabayi, Mehrdad. "The quasinormal modes of quasinormal modes." Journal of Cosmology and Astroparticle Physics 2020, no. 01 (January 27, 2020): 052. http://dx.doi.org/10.1088/1475-7516/2020/01/052.

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27

Mao, Baiwei, Yange Liu, Hongwei Zhang, Kang Yang, Mao Feng, Zhi Wang, and Zhaohui Li. "Expanded Jones complex space model to describe arbitrary higher-order spatial states in fiber." Nanophotonics 8, no. 10 (August 15, 2019): 1757–69. http://dx.doi.org/10.1515/nanoph-2019-0165.

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AbstractAs a new multiplexing dimension, spatial modes are catching increasing attentions nowadays. It is a fundamental task to establish an appropriate theoretical model to describe these spatial modes, especially higher-order spatial modes. However, existing theoretical models are only able to explain some special higher-order spatial states in fiber. The basic problem in these models is that their discussed dimensions are not enough. Indeed, to describe a higher-order spatial state, at least four dimensions are needed. In this paper, we present an expanded Jones complex space model, which is four-dimensional when a single higher-order state is discussed. The expanded Jones model is based on the discussion of an arbitrary combination of four degenerated higher-order modes. As a result, arbitrary spatial states are described. Because the number of used dimensions matches that of the problem, the descriptions of higher-order modes are more complete than other models. Also, we have verified the reliability of the expanded Jones model in our experiment. This model has the potential to simplify many analyses related to spatial modes in fiber.

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28

Snyder, P. B., H. R. Wilson, J. R. Ferron, L. L. Lao, A. W. Leonard, T. H. Osborne, A. D. Turnbull, D. Mossessian, M. Murakami, and X. Q. Xu. "Edge localized modes and the pedestal: A model based on coupled peeling–ballooning modes." Physics of Plasmas 9, no. 5 (May 2002): 2037–43. http://dx.doi.org/10.1063/1.1449463.

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29

Franzke, Christian, Andrew J. Majda, and Eric Vanden-Eijnden. "Low-Order Stochastic Mode Reduction for a Realistic Barotropic Model Climate." Journal of the Atmospheric Sciences 62, no. 6 (June 1, 2005): 1722–45. http://dx.doi.org/10.1175/jas3438.1.

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Abstract This study applies a systematic strategy for stochastic modeling of atmospheric low-frequency variability to a realistic barotropic model climate. This barotropic model climate has reasonable approximations of the Arctic Oscillation (AO) and Pacific/North America (PNA) teleconnections as its two leading principal patterns of low-frequency variability. The systematic strategy consists first of the identification of slowly evolving climate modes and faster evolving nonclimate modes by use of an empirical orthogonal function (EOF) decomposition. The low-order stochastic climate model predicts the evolution of these climate modes a priori without any regression fitting of the resolved modes. The systematic stochastic mode reduction strategy determines all correction terms and noises with minimal regression fitting of the variances and correlation times of the unresolved modes. These correction terms and noises account for the neglected interactions between the resolved climate modes and the unresolved nonclimate modes. Low-order stochastic models with only four resolved modes capture the statistics of the original barotropic model modes quite well. A budget analysis establishes that the low-order stochastic models are dominated by linear dynamics and additive noise. The linear correction terms and the additive noise stem from the linear coupling between resolved and unresolved modes, and not from nonlinear interactions between resolved and unresolved modes as assumed in previous studies.

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30

Vikhliaev, Yury, Paul Schopf, Tim DelSole, and Ben Kirtman. "Finding Multiple Basin Modes in a Linear Ocean Model." Journal of Atmospheric and Oceanic Technology 24, no. 6 (June 2007): 1033–49. http://dx.doi.org/10.1175/jtech2020.1.

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A method for finding the most unstable eigenmodes in linear models using the breeding technique was developed. The breeding technique was extended to allow for the calculation of complex eigenvalues and eigenvectors of the linear model operator without involving computationally expensive matrix manipulations. While the breeding method finds the most unstable modes, multiple planetary basin modes may be found by removing the leading modes using the adjoint model. To test the sensitivity of basin modes to model formulation, the method was applied for the calculation of the gravest planetary basin modes in a reduced-gravity linear shallow water model with complex basin geometry and background circulation. It was found that the leading basin modes are not sensitive to the form of the dissipation or model resolution, suggesting that the decadal modes are robust. However, the properties of the low-frequency modes are strongly affected by the basin geometry and the mean flow.

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31

Zheng, L. J., and M. Furukawa. "Current-interchange tearing modes: Conversion of interchange-type modes to tearing modes." Physics of Plasmas 17, no. 5 (May 2010): 052508. http://dx.doi.org/10.1063/1.3425857.

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32

Iye, Masanori. "Oscillations of rotating gas disks : p-modes, g-modes, and r-modes." Symposium - International Astronomical Union 106 (1985): 535–36. http://dx.doi.org/10.1017/s0074180900243076.

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Short-wavelength adiabatic oscillations of an infinitesimally thin, rotating and self-gravitating gas disk in dynamical equilibrium are studied. The problem is formulated in terms of the theory of oscillations of gas spheres (i.e. stars) in order to help galactic and stellar seismologists towards their mutual understanding of their rather similar subjects.

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33

Henderson, Daniel J., Christopher F. Parmeter, and R. Robert Russell. "Modes, weighted modes, and calibrated modes: evidence of clustering using modality tests." Journal of Applied Econometrics 23, no. 5 (August 2008): 607–38. http://dx.doi.org/10.1002/jae.1023.

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34

JEON, Sangjun, and Kwang-Yong CHOI. "Kitaev’s Chain Model and Majorana Zero Modes." Physics and High Technology 29, no. 6 (June 30, 2020): 3–7. http://dx.doi.org/10.3938/phit.29.018.

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A Majorana Fermion (MF), defined as a particle that is its own anti-particle, can be engineered in the form of quasi-particles appearing in condensed matter systems. Majorana zero modes (MZMs), topologically protected zero-energy states, can exist at the topological phase boundary of one- or two-dimensional systems. These MZMs follow non-Abelian statistics and can be used as a building block for fault-tolerant quantum computers. Here, we introduce the conceptual development of MZMs based on Kitaev’s chain model and give a brief history of the experimental realization of MZMs.

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35

Li, Lie, Yigang He, Lei Wang, Chuankun Wang, and Xiaoyan Liu. "IGBT lifetime model considering composite failure modes." Materials Science in Semiconductor Processing 143 (June 2022): 106529. http://dx.doi.org/10.1016/j.mssp.2022.106529.

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36

Mebarki, N., M. Djouala, J. Mimouni, and H. Aissaoui. "New Compact 341 Model: Higgs Decay Modes." Journal of Physics: Conference Series 1258 (October 2019): 012011. http://dx.doi.org/10.1088/1742-6596/1258/1/012011.

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37

Chang, Edmund K. M. "Resonating Neutral Modes of the Eady Model." Journal of the Atmospheric Sciences 49, no. 24 (December 1992): 2452–63. http://dx.doi.org/10.1175/1520-0469(1992)049<2452:rnmote>2.0.co;2.

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38

Picu, R. C., and M. C. Pavel. "Fast Relaxation Modes in Model Polymeric Systems." Macromolecules 35, no. 5 (February 2002): 1840–47. http://dx.doi.org/10.1021/ma0115949.

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39

Smith, Thomas J. "The Evolution of Design – Models and Modes." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 440–44. http://dx.doi.org/10.1177/1541931213601099.

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Objective: To address the evolution of design from the perspective of human factors/ergonomics (HF/E), with a focus on the phenomenon of performance-design interaction that supports such evolution. Method: Six different models of design evolution are reviewed, four of which have evident parallels with patterns of natural evolution. Result: All of these models implicitly or explicitly emphasize performance-design interaction as a central HF/E feature of design evolution. Yet the different models also display a distinct lack of consistency insofar as underlying assumptions about exactly how design evolution proceeds. Conclusion: A context specificity interpretation for the latter observation is offered, namely that new designs evoke new patterns of behavior, leading in turn to newer designs, suggesting that design evolution may display more than one trajectory and therefore may conform to more than one model. Application: The critical role of human work in guiding and facilitating the evolution of design is emphasized.

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40

Bonatsos, Dennis, Lucília Brito, Debora Menezes, Constança Providência, and João da Providência. "The q-deformed Moszkowski model: RPA modes." Journal of Physics A: Mathematical and General 26, no. 19 (October 7, 1993): 5185. http://dx.doi.org/10.1088/0305-4470/26/19/047.

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41

Bonatsos, Dennis, Lucília Brito, Debora Menezes, Constança Providência, and João da Providência. "The q-deformed Moszkowski model: RPA modes." Journal of Physics A: Mathematical and General 26, no. 4 (February 21, 1993): 895–904. http://dx.doi.org/10.1088/0305-4470/26/4/016.

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42

Edwards, B. J., A. N. Beris, and V. G. Mavrantzas. "A model with two coupled Maxwell modes." Journal of Rheology 40, no. 5 (September 1996): 917–42. http://dx.doi.org/10.1122/1.550768.

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43

Syd Ali, Busyairah, Washington Ochieng, Arnab Majumdar, Wolfgang Schuster, and Thiam Kian Chiew. "ADS-B System Failure Modes and Models." Journal of Navigation 67, no. 6 (June 17, 2014): 995–1017. http://dx.doi.org/10.1017/s037346331400037x.

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Automatic Dependent Surveillance Broadcast (ADS-B) is envisioned to support seamless aircraft surveillance and enhanced air-to-air and air-to-ground applications. ADS-B is an integrated system, dependent on on board navigation systems to obtain aircraft state information as well as a communication data link to broadcast this information to Air Traffic Control (ATC) on the ground and other ADS-B equipped aircraft. To quantify system safety, a good understanding of the potential failure modes of the system is vital. ADS-B system failure modes include those from the communication and navigation systems and human and environmental factors, as well as ADS-B-specific components. In this paper, potential failure modes of the ADS-B system are identified using an approach developed in this paper. The end output of the approach is an ADS-B failure mode register. However, the approach is transferable to other ATC surveillance systems. The paper further provides the failure classification and modelling, and also analyses the failure modes' impact on ATC operations and finally proposes potential mitigations. It is important to note that the work carried out in this paper is based on the assumption that the ADS-B operates as the primary surveillance source for the ATC.

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44

Fendrik, A. J., L. Romanelli, and R. P. J. Perazzo. "Collective modes in a coupled ratchet model." Physica A: Statistical Mechanics and its Applications 368, no. 1 (August 2006): 7–15. http://dx.doi.org/10.1016/j.physa.2005.11.056.

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45

Campos, Rafael G., and Eduardo S. Tututi. "Aliasing modes in the lattice Schwinger model." Physics Letters A 361, no. 1-2 (January 2007): 1–5. http://dx.doi.org/10.1016/j.physleta.2006.09.019.

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46

Kokkotas, Kostas D., and Bernard F. Schutz. "Normal modes of a model radiating system." General Relativity and Gravitation 18, no. 9 (September 1986): 913–21. http://dx.doi.org/10.1007/bf00773556.

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47

Lazzaro, E., K. Avinash, N. Gottardi, and P. Smeulders. "Relaxation model of H-modes in JET." Plasma Physics and Controlled Fusion 31, no. 8 (July 1, 1989): 1199–214. http://dx.doi.org/10.1088/0741-3335/31/8/001.

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48

Martin, Luc, Violaine Cahouët, Myriam Ferry, and Florent Fouque. "Optimization model predictions for postural coordination modes." Journal of Biomechanics 39, no. 1 (January 2006): 170–76. http://dx.doi.org/10.1016/j.jbiomech.2004.10.039.

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49

Hung, Y. S., and M. A. Muzlifah. "Hankel-norm model reduction with fixed modes." IEEE Transactions on Automatic Control 35, no. 3 (March 1990): 373–77. http://dx.doi.org/10.1109/9.50363.

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50

Vekhter, B., Mark A. Ratner, and R. B. Gerber. "Dynamic mean‐field models with correlated modes." Journal of Chemical Physics 99, no. 10 (November 15, 1993): 7916–25. http://dx.doi.org/10.1063/1.465669.

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Journal articles on the topic 'Modes'

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