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Journal articles on the topic 'Modes'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

ROSEBERRY, WILLIAM. "Domestic Modes, Domesticated Models." Journal of Historical Sociology 1, no. 4 (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 (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 (1995): 257–60. http://dx.doi.org/10.1016/0370-2693(95)00385-x.

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4

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

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5

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

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6

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

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7

Yu, Qi, Qi Miao, Zhenxiang Xu, et al. "Tuning of laser modes in an Er3+-doped whispering-gallery-mode microresonator." Chinese Optics Letters 22, no. 12 (2024): 121406. http://dx.doi.org/10.3788/col202422.121406.

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8

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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9

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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10

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

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11

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

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12

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

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13

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

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14

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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15

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 fie

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16

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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17

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

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18

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

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19

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

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20

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

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21

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

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22

Shi, Junjie, Jiang Bian, Jakob Richter, et al. "MODES: model-based optimization on distributed embedded systems." Machine Learning 110, no. 6 (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

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23

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 (1997): 687–706. http://dx.doi.org/10.1143/ptp.98.687.

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24

Goncharov, V., and V. Pavlov. "Null modes effect in Rossby wave model." Nonlinear Processes in Geophysics 11, no. 3 (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

Mao, Baiwei, Yange Liu, Hongwei Zhang, et al. "Expanded Jones complex space model to describe arbitrary higher-order spatial states in fiber." Nanophotonics 8, no. 10 (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 i

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26

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 (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 pre

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27

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 (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 basi

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28

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

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29

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

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30

Snyder, P. B., H. R. Wilson, J. R. Ferron, et al. "Edge localized modes and the pedestal: A model based on coupled peeling–ballooning modes." Physics of Plasmas 9, no. 5 (2002): 2037–43. http://dx.doi.org/10.1063/1.1449463.

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31

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 (1997): 41–43. http://dx.doi.org/10.1088/0150-536x/28/1/008.

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32

Phillies, George David Joseph. "The Kirkwood–Riseman Model of Polymer Solution Dynamics Is Qualitatively Correct." Polymers 15, no. 9 (2023): 1995. http://dx.doi.org/10.3390/polym15091995.

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The Rouse model is the foundational basis of much of modern polymer physics. The period alternative, the Kirkwood–Riseman model, is rarely mentioned in modern monographs. The models are qualitatively different. The models do not agree as to how many internal modes a polymer molecule has. In the Kirkwood–Riseman model, polymers in a shear field perform whole-body rotation; in the Rouse model, polymers respond to shear with an affine deformation. We use Brownian dynamics to show that the Kirkwood–Riseman model for chain motion is qualitatively correct. Contrary to the Rouse model, in shear flow,

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33

Franzke, Christian, and Andrew J. Majda. "Low-Order Stochastic Mode Reduction for a Prototype Atmospheric GCM." Journal of the Atmospheric Sciences 63, no. 2 (2006): 457–79. http://dx.doi.org/10.1175/jas3633.1.

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Abstract This study applies a systematic strategy for stochastic modeling of atmospheric low-frequency variability to a three-layer quasigeostrophic model. This model climate has reasonable approximations of the North Atlantic Oscillation (NAO) and Pacific–North America (PNA) patterns. 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 in the total energy metric. The low-order stochastic climate model predicts the evolution of these climate modes a prio

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34

Ishibashi, Shiro. "Modal Analysis of Rotating Gaseous Disks : Physical Properties of Global Modes and Wave-Rotation Interaction." Publications of the Astronomical Society of Japan 39, no. 1 (1987): 69–93. https://doi.org/10.1093/pasj/39.1.69.

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Abstract For a better understanding of the spiral structures of disk galaxies, we carried out a modal analysis of rotating gaseous disks and investigated the dynamical properties of modes. We can classify the obtained modes as p-modes and r-modes in the hot model, and these modes change their natures to become gravitationally unstable modes and r-modes as the model becomes cold. In a rather simple uniformly rotating model, this continuous change of the properties of modes is well understood by the analysis of the oscillation energy. Therefore, this approach is also useful for the interpretatio

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35

ROZMEJ, PIOTR, WOLFGANG NÖRENBERG, and GABOR PAPP. "SPINODAL INSTABILITIES OF HOT AND DILUTE NUCLEAR DROPLET – ISOVECTOR EFFECTS." International Journal of Modern Physics E 15, no. 02 (2006): 362–67. http://dx.doi.org/10.1142/s0218301306004211.

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The paper describes an extension of the model treating dissipative collective motion of hot and dilute nuclear droplets on two-fluid case. The previous results obtained for adiabatic isoscalar modes1 and those for dissipative isoscalar modes2 are generalized. The present formulation includes isovector modes on the same footing as isoscalar ones and allows to estimate the effect of isovector modes on the spinodal decomposition of infinite nuclear matter and finite nuclear droplets at their expansion phase.

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36

Bayly, P. V., and K. S. Wilson. "Analysis of unstable modes distinguishes mathematical models of flagellar motion." Journal of The Royal Society Interface 12, no. 106 (2015): 20150124. http://dx.doi.org/10.1098/rsif.2015.0124.

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The mechanisms underlying the coordinated beating of cilia and flagella remain incompletely understood despite the fundamental importance of these organelles. The axoneme (the cytoskeletal structure of cilia and flagella) consists of microtubule doublets connected by passive and active elements. The motor protein dynein is known to drive active bending, but dynein activity must be regulated to generate oscillatory, propulsive waveforms. Mathematical models of flagellar motion generate quantitative predictions that can be analysed to test hypotheses concerning dynein regulation. One approach ha

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37

Niu, Sai Sai, Jian Xin Shen, Chun Liang, and Yun Hai Zhang. "Wavefront Aberration Correction with Conjugated Combination Models of Zernike Modes." Applied Mechanics and Materials 241-244 (December 2012): 847–51. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.847.

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In view of the coupling relationship between the Zernike modes over the concentric circle domain within the unit circle and the wavefront counteraction of those coupling modes within the reconstruction pupil region, the linear combination models of Zernike modes are presented. The modes in each model share with negative correlation, same coefficient sign and prescribed amount. Finally, the experiments are implemented on AO system, the results show that it’s feasible and advantageous to use the combination models in the process of aberration correction.

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38

Wang, Shijie. "Reliability Model of Mechanical Components with Dependent Failure Modes." Mathematical Problems in Engineering 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/828407.

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A mechanical component may fail in many modes that are usually not independent. There is generally not a joint probability density function to describe these correlated failure modes. Thus, it is difficult to compute the reliability when considering the correlations between the failure modes. It is supposed that three or more failure modes arise synchronously to be a very small probability event. The relationship between ultimate state functions in different failure modes is established by utilizing linear regression method. A double integration model for reliability of mechanical components w

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39

WEI, MINGJUN, and CLARENCE W. ROWLEY. "Low-dimensional models of a temporally evolving free shear layer." Journal of Fluid Mechanics 618 (January 10, 2009): 113–34. http://dx.doi.org/10.1017/s0022112008004539.

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We develop low-dimensional models for the evolution of a free shear layer in a periodic domain. The goal is to obtain models simple enough to be analysed using standard tools from dynamical systems theory, yet including enough of the physics to model nonlinear saturation and energy transfer between modes (e.g. pairing). In the present paper, two-dimensional direct numerical simulations of a spatially periodic, temporally developing shear layer are performed. Low-dimensional models for the dynamics are obtained using a modified version of proper orthogonal decomposition (POD)/Galerkin projectio

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40

JEON, Sangjun, and Kwang-Yong CHOI. "Kitaev’s Chain Model and Majorana Zero Modes." Physics and High Technology 29, no. 6 (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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41

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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42

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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43

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

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44

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

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45

Smith, Thomas J. "The Evolution of Design – Models and Modes." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (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 desi

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46

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 (1993): 5185. http://dx.doi.org/10.1088/0305-4470/26/19/047.

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47

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 (1993): 895–904. http://dx.doi.org/10.1088/0305-4470/26/4/016.

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48

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

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49

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 (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 s

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50

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 (2006): 7–15. http://dx.doi.org/10.1016/j.physa.2005.11.056.

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