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Journal articles on the topic 'Large Scale'

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Author: Grafiati

Published: 4 June 2021

Last updated: 4 May 2024

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1

Lee, Jin-Sung, Jung-Su Park, and Young-Shin Lee. "Study on the Computational Simulation of Large Scale Gap Test." Journal of the Korea Institute of Military Science and Technology 14, no. 5 (October 5, 2011): 932–40. http://dx.doi.org/10.9766/kimst.2011.14.5.932.

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2

Demiański, M., and A. G. Doroshkevich. "Super–Large‐Scale Structure and Large‐Scale Bias." Astrophysical Journal 512, no. 2 (February 20, 1999): 527–46. http://dx.doi.org/10.1086/306779.

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3

PALMER, MICHAEL W. "A Large-Scale Scale Book." BioScience 50, no. 4 (2000): 372. http://dx.doi.org/10.1641/0006-3568(2000)050[0372:alssb]2.3.co;2.

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4

Kiørboe, Thomas. "Formation and fate of marine snow: small-scale processes with large- scale implications." Scientia Marina 65, S2 (December 30, 2001): 57–71. http://dx.doi.org/10.3989/scimar.2001.65s257.

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5

Saeeda, Hina, Fahim Arif, Nasir Mehmood Minhas, and Mammona Humayun. "Agile Scalability for Large Scale Projects: Lessons Learned." Journal of Software 10, no. 7 (July 2015): 893–903. http://dx.doi.org/10.17706//jsw.10.7.893-903.

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6

Laing, R. A. "Large-Scale Structure: Jets on kiloparsec Scales." Symposium - International Astronomical Union 175 (1996): 147–52. http://dx.doi.org/10.1017/s0074180900080360.

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This paper examines some of the consequences of the hypothesis that jets in all radio galaxies and quasars are relativistic on small scales, in the sense that the flow velocity >0.5c. This idea is suggested by a number of lines of evidence. Firstly, Unified Models (Urry & Padovani, 1995) imply that the relativistic motion required in core-dominated objects must also occur in a larger parent population consisting of most, if not all, extended sources. Secondly, superluminal motion is detected in the nuclei of extended sources and in the kpc-scale jet of M 87 (Hough, 1994; Biretta, Zhou & Owen, 1995). Thirdly, jets are one-sided in the same sense on pc and kpc scales; at all luminosities, the radio emission tends to become more symmetrical on larger scales, as expected if an initially relativistic flow decelerates (Bridle & Perley, 1984; Bridle et al., 1994a; Parma et al., 1994). Finally, depolarization asymmetry occurs in both low (Parma, de Ruiter & Fanti, 1996) and high (Laing, 1988; Garrington et al., 1988) luminosity sources: the implication is that the brighter jet is on the near side of the source. It is likely that the key difference between radio sources in the two morphological classes defined by Fanaroff & Riley (1974) are that relativistic flow persists to the extremities of FRII sources, but that FRI jets decelerate smoothly on intermediate scales (Laing, 1993; Bicknell, 1995). On kiloparsec scales, we can identify structures which we propose should be called fast jets. These are well-collimated and generally one-sided (in the sense that the jet/counterjet ratio >4:1). They also have longitudinal apparent magnetic field (B||). They occur both in FRII sources, and at the bases of FRI jets (Bridle & Perley, 1984). We suggest that they are relativistic flows, and that this fact is crucial to an understanding of their evolution. A framework for the understanding of the variety of extended structures in extragalactic radio sources in this context is illustrated in Figure 1, which is an improved version of the diagram presented by Laing (1993). A fast jet appears to be able to: decelerate and recollimate to form a slow jet with β << 1 (therefore two-sided unless external effects dominate); disrupt, as in wide-angle tail sources, or hit the external medium and form a hot-spot. Slow jets are probably formed only when a decelerating fast jet can be recollimated by the external pressure gradient (Phinney, 1983; Bowman, Leahy & Komissarov, 1995). This may not be possible for more powerful sources in flatter pressure gradients and it is likely that wide-angle tail sources are formed when a fast jet decelerates rapidly but cannot recollimate. Deceleration by entrainment is efficient when the jet is transonic, and Bicknell (1994) showed that this corresponds to β ≈0.3 − 0.7 for a relativistic jet. If the jet does not slow down sufficiently (e.g. by mass loading; Komissarov 1994), then the flow will remain supersonic until it impacts on the external medium, and an FRII source will result. The radio morphology is therefore determined by a combination of initial jet speed and thrust and the effects of the environment, via the rate of stellar mass loss and the pressure gradient. On the largest scales, a bridge(backflow) or tail (outflow) will be formed. If the jet remains supersonic as far as the end of the lobe (as in an FRII source), then it is inevitable that a backflow (bridge) will be generated. As emphasised by Parma, de Ruiter & Fanti (1996), the majority of FRI sources also show bridges: the residual momentum of the jets, their density contrast with the external medium and the external pressure gradient are all likely to be important in determining their large-scale morphologies.

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7

Sadie, Stanley. "Large-Scale Handel." Musical Times 127, no. 1720 (August 1986): 444. http://dx.doi.org/10.2307/965167.

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8

Law, Daniel. "Large scale discrimination." Nursing Standard 7, no. 52 (September 15, 1993): 53. http://dx.doi.org/10.7748/ns.7.52.53.s62.

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9

Ghiorso, M. S., and F. J. Spera. "Large Scale Simulations." Reviews in Mineralogy and Geochemistry 71, no. 1 (January 1, 2010): 437–63. http://dx.doi.org/10.2138/rmg.2010.71.20.

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10

Carlson, Robert H. "Large-Scale Study." Oncology Times 34, no. 14 (July 2012): 8. http://dx.doi.org/10.1097/01.cot.0000418352.75540.03.

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11

Kim, Meeri. "Large-Scale Review." Oncology Times 37, no. 7 (April 2015): 14–16. http://dx.doi.org/10.1097/01.cot.0000464346.49561.36.

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12

&NA;. "Large-Scale Trauma." American Journal of Nursing 100 (January 2000): 19. http://dx.doi.org/10.1097/00000446-200001000-00015.

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13

Agres, Ted. "Large-scale science." Genome Biology 4 (2003): spotlight—20030623–01. http://dx.doi.org/10.1186/gb-spotlight-20030623-01.

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14

Jorgensen, Rich. "Large-Scale Biology." Plant Cell 18, no. 9 (September 2006): 2095–96. http://dx.doi.org/10.1105/tpc.106.180980.

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15

McDermott, E. "Large-scale operations." Chemical Health and Safety 6, no. 2 (March 1999): 4. http://dx.doi.org/10.1016/s1074-9098(00)80004-0.

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16

Cérin, Christophe. "Large scale grids." Parallel Computing 33, no. 4-5 (May 2007): 235–37. http://dx.doi.org/10.1016/j.parco.2007.02.009.

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17

Ellis, Derek, and Hjalmar Thiel. "Large scale experiments." Marine Pollution Bulletin 20, no. 3 (March 1989): 108–10. http://dx.doi.org/10.1016/0025-326x(88)90813-2.

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18

Bharadwaj, Somnath. "Large scale structure." Pramana 53, no. 6 (December 1999): 977–87. http://dx.doi.org/10.1007/s12043-999-0053-4.

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19

Won, Rachel. "Large-scale control." Nature Photonics 6, no. 3 (February 29, 2012): 138. http://dx.doi.org/10.1038/nphoton.2012.39.

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20

Hanson, B., and D. Voss. "Large Scale Measurements." Science 256, no. 5055 (April 17, 1992): 289. http://dx.doi.org/10.1126/science.256.5055.289.

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21

Seed, Amanda M., and Keith Jensen. "Large-scale cooperation." Nature 472, no. 7344 (April 2011): 424–25. http://dx.doi.org/10.1038/472424a.

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22

Einasto, Jaan. "Large scale structure." New Astronomy Reviews 45, no. 4-5 (March 2001): 355–72. http://dx.doi.org/10.1016/s1387-6473(00)00158-5.

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23

Fioravanti, Richard, Khoi Vu, and Walter Stadlin. "Large-scale solutions." IEEE Power and Energy Magazine 7, no. 4 (July 2009): 48–57. http://dx.doi.org/10.1109/mpe.2009.932869.

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24

Fox, J. F., and A. Patrick. "Large-scale eddies measured with large scale particle image velocimetry." Flow Measurement and Instrumentation 19, no. 5 (October 2008): 283–91. http://dx.doi.org/10.1016/j.flowmeasinst.2008.01.003.

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25

Stewart, D. F. "Large-scale v small-scale mining." Natural Resources Forum 13, no. 1 (February 1989): 44–52. http://dx.doi.org/10.1111/j.1477-8947.1989.tb00850.x.

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26

Figeys, Daniel. "Large-scale screening on small scale." Trends in Biotechnology 18, no. 9 (September 2000): 363–64. http://dx.doi.org/10.1016/s0167-7799(00)01479-7.

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27

Keetha, Laxminarayana, Sadanandam Palle, Vinodkumar Ramanatham, Mukkanti Khagga, and Rajendiran Chinnapillai. "Highly Convenient and Large Scale Synthesis of 5-chloroindole and its 3-substituted Analogues." Journal of the Korean Chemical Society 55, no. 2 (April 20, 2011): 240–42. http://dx.doi.org/10.5012/jkcs.2011.55.2.240.

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28

K., Ferents Koni. "MCMC based SOR Detector for Large Scale MIMO Systems." Journal of Advanced Research in Dynamical and Control Systems 51, SP3 (February 28, 2020): 538–43. http://dx.doi.org/10.5373/jardcs/v12sp3/20201290.

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29

Brandt, A., V. Ilyin, and A. Skarboviychuk. "Large Scale Monte Carlo Simulations of Fluids Under Gravity." Ukrainian Journal of Physics 60, no. 8 (August 2015): 737–47. http://dx.doi.org/10.15407/ujpe60.08.0737.

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30

Luo, Zhifeng, Xiang Chen, Liqiang Zhao, Yao Xiao, Xiaofeng Lu, Weijie Miao, and Huifeng Liu. "Large-Scale Acid Fracturing Based on a Large-Scale Conductivity Apparatus." ACS Omega 6, no. 10 (March 3, 2021): 6559–70. http://dx.doi.org/10.1021/acsomega.0c03792.

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31

Savran, Ibrahim, Yang Gao, and Jason D. Bakos. "Large-Scale Pairwise Sequence Alignments on a Large-Scale GPU Cluster." IEEE Design & Test 31, no. 1 (February 2014): 51–61. http://dx.doi.org/10.1109/mdat.2013.2290116.

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32

GUALA, M., S. E. HOMMEMA, and R. J. ADRIAN. "Large-scale and very-large-scale motions in turbulent pipe flow." Journal of Fluid Mechanics 554, no. -1 (April 24, 2006): 521. http://dx.doi.org/10.1017/s0022112006008871.

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33

Lee, Jun-Hee, Ki-Taek Lim, Jong-Chan Kim, Dong-Hoan Seo, and Hyung-Rae Cho. "Large scale propagation analysis suitable for domestic highway environment." Journal of the Korean Society of Marine Engineering 41, no. 9 (November 30, 2017): 914–20. http://dx.doi.org/10.5916/jkosme.2017.41.9.914.

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34

Scott, Rebecca J. "Small-Scale Dynamics of Large-Scale Processes." American Historical Review 105, no. 2 (April 2000): 472. http://dx.doi.org/10.2307/1571462.

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35

Smith, Roger. "Small-Scale Science to Large-Scale Profession." Contemporary Psychology 45, no. 4 (August 2000): 396–98. http://dx.doi.org/10.1037/002246.

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36

Ispolatov, Yaroslav. "Small-scale universality and large-scale diversity." Physics of Life Reviews 17 (July 2016): 163–65. http://dx.doi.org/10.1016/j.plrev.2016.06.003.

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37

Stern, Jacques, Robert Madelin, Norbert Kroó, Paul Verschure, Jerzy Langer, and Paul ‘t Hoen. "Large Scale Funding vs. Small Scale Funding." Procedia Computer Science 7 (2011): 125. http://dx.doi.org/10.1016/j.procs.2011.12.037.

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38

Yano, Jun-Ichi, and Marine Bonazzola. "Scale Analysis for Large-Scale Tropical Atmospheric Dynamics." Journal of the Atmospheric Sciences 66, no. 1 (January 1, 2009): 159–72. http://dx.doi.org/10.1175/2008jas2687.1.

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Abstract A systematic scale analysis is performed for large-scale dynamics over the tropics. It is identified that two regimes are competing: 1) a dynamics characterized by balance between the vertical advection term and diabatic heating in the thermodynamic equation, realized at horizontal scales less than L ∼ 103 km given a velocity scale U ∼ 10 m s−1, and 2) a linear equatorial wave dynamics modulated by convective diabatic heating, realized at scales larger than L ∼ 3 × 103 km given U ∼ 3 m s−1. Under the first dynamic regime (balanced), the system may be approximated as nondivergent to leading order in asymptotic expansion, as originally pointed out by Charney. Inherent subtleties of scale analysis at large scales for the tropical atmosphere are emphasized. The subtleties chiefly arise from a strong sensitivity of the nondimensional β parameter to the horizontal scale. This amounts to qualitatively different dynamic regimes for scales differing only by a factor of 3, as summarized above. Because any regime under asymptotic expansion may have a wider applicability than a formal scale analysis would suggest, the question of which one of the two identified regimes dominates can be answered only after extensive modeling and observational studies. Preliminary data analysis suggests that the balanced dynamics, originally proposed by Sobel, Nilsson, and Polvani, is relevant for a wider range than the strict scale analysis suggests. A rather surprising conclusion from the present analysis is a likely persistence of balanced dynamics toward scales as small as the mesoscale L ∼ 102 km. Leading-order nondivergence also becomes more likely the case for the smaller scales because otherwise the required diabatic heating rate becomes excessive compared to observations by increasing inversely proportionally with decreasing horizontal scales.

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39

Somov, B. V., T. Kosugi, I. V. Oreshina, and G. P. Lyubimov. "Large-scale reconnection in a large flare." Advances in Space Research 35, no. 10 (January 2005): 1712–22. http://dx.doi.org/10.1016/j.asr.2004.12.054.

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40

YASUMURA, MOTOI. "Large-Scale Timber Structures." Wood Preservation 23, no. 4 (1997): 199–207. http://dx.doi.org/10.5990/jwpa.23.199.

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41

Steinhaus, Thomas, Stephen Welch, Richard Carvel, and José Torero. "Large-scale pool fires." Thermal Science 11, no. 2 (2007): 101–18. http://dx.doi.org/10.2298/tsci0702101s.

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A review of research into the burning behavior of large pool fires and fuel spill fires is presented. The features which distinguish such fires from smaller pool fires are mainly associated with the fire dynamics at low source Froude numbers and the radiative interaction with the fire source. In hydrocarbon fires, higher soot levels at increased diameters result in radiation blockage effects around the perimeter of large fire plumes; this yields lower emissive powers and a drastic reduction in the radiative loss fraction; whilst there are simplifying factors with these phenomena, arising from the fact that soot yield can saturate, there are other complications deriving from the intermittency of the behavior, with luminous regions of efficient combustion appearing randomly in the outer surface of the fire according the turbulent fluctuations in the fire plume. Knowledge of the fluid flow instabilities, which lead to the formation of large eddies, is also key to understanding the behavior of large-scale fires. Here modeling tools can be effectively exploited in order to investigate the fluid flow phenomena, including RANS- and LES-based computational fluid dynamics codes. The latter are well-suited to representation of the turbulent motions, but a number of challenges remain with their practical application. Massively-parallel computational resources are likely to be necessary in order to be able to adequately address the complex coupled phenomena to the level of detail that is necessary.

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42

Landim, Claudio, Stefano Olla, and Herbert Spohn. "Large Scale Stochastic Dynamics." Oberwolfach Reports 10, no. 4 (2013): 3039–113. http://dx.doi.org/10.4171/owr/2013/52.

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43

Bodineau, Thierry, Fabio Toninelli, and Bálint Tóth. "Large Scale Stochastic Dynamics." Oberwolfach Reports 13, no. 4 (December 20, 2017): 3031–86. http://dx.doi.org/10.4171/owr/2016/54.

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44

Bodineau, Thierry, Fabio Toninelli, and Bálint Tóth. "Large Scale Stochastic Dynamics." Oberwolfach Reports 16, no. 3 (September 9, 2020): 2605–69. http://dx.doi.org/10.4171/owr/2019/42.

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45

Petley, David. "Large-scale Geologic Structures." Mountain Research and Development 20, no. 1 (February 2000): 103–4. http://dx.doi.org/10.1659/0276-4741(2000)020[0103:lsgs]2.0.co;2.

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46

PANSU, Pierre. "Large scale conformal maps." Annales scientifiques de l'École Normale Supérieure 54, no. 4 (2021): 831–87. http://dx.doi.org/10.24033/asens.2472.

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47

Shulha, Lyn, and Robert WIlson. "Rethinking large-scale assessment." Assessment Matters 1 (June 1, 2009): 111–34. http://dx.doi.org/10.18296/am.0071.

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48

Litzinger, William, Allan M. Mohrman, Susan Albers Mohrman, Gerald E. Ledford, Thomas G. Cummings, and Edward E. Lawler. "Large-Scale Organizational Change." Academy of Management Review 15, no. 4 (October 1990): 710. http://dx.doi.org/10.2307/258696.

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49

Okayama, A. "Large scale intervention trial." SANGYO EISEIGAKU ZASSHI 40, Special (1998): 365. http://dx.doi.org/10.1539/sangyoeisei.kj00001990190.

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50

WALKER, C. "Large-scale Oral Testing." Applied Linguistics 11, no. 2 (June 1, 1990): 200–219. http://dx.doi.org/10.1093/applin/11.2.200.

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