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Journal articles on the topic 'Spatial formation'

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1

Last, Nana. "Flow’s Socio-spatial Formation." Thresholds 40 (January 2012): 39–46. http://dx.doi.org/10.1162/thld_a_00130.

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2

Jiang, Luo-Luo, Wen-Xu Wang, and Bing-Hong Wang. "Pattern formation in spatial games." Physics Procedia 3, no. 5 (August 2010): 1933–39. http://dx.doi.org/10.1016/j.phpro.2010.07.038.

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3

Nagel, Kai, Martin Shubik, Maya Paczuski, and Per Bak. "Spatial competition and price formation." Physica A: Statistical Mechanics and its Applications 287, no. 3-4 (December 2000): 546–62. http://dx.doi.org/10.1016/s0378-4371(00)00392-7.

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4

Eggers, J., T. Grava, M. A. Herrada, and G. Pitton. "Spatial structure of shock formation." Journal of Fluid Mechanics 820 (May 5, 2017): 208–31. http://dx.doi.org/10.1017/jfm.2017.205.

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The formation of a singularity in a compressible gas, as described by the Euler equation, is characterized by the steepening and eventual overturning of a wave. Using self-similar variables in two space dimensions and a power series expansion based on powers of $|t_{0}-t|^{1/2}$, $t_{0}$ being the singularity time, we show that the spatial structure of this process, which starts at a point, is equivalent to the formation of a caustic, i.e. to a cusp catastrophe. The lines along which the profile has infinite slope correspond to the caustic lines, from which we construct the position of the shock. By solving the similarity equation, we obtain a complete local description of wave steepening and of the spreading of the shock from a point. The shock spreads in the transversal direction as $|t_{0}-t|^{1/2}$ and in the direction of propagation as $|t_{0}-t|^{3/2}$, as also found in a one-dimensional model problem.
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5

Leonova, E. I., M. V. Baranov, and O. V. Galzitskaya. "Formation of RNA spatial structures." Molecular Biology 46, no. 1 (February 2012): 34–46. http://dx.doi.org/10.1134/s0026893312010104.

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6

Puu, T. "Pattern formation in spatial economics." Chaos, Solitons & Fractals 3, no. 1 (January 1993): 99–129. http://dx.doi.org/10.1016/0960-0779(93)90043-z.

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7

Cortes-Poza, Yuriria, Pablo Padilla-Longoria, and Elena Alvarez-Buylla. "Spatial dynamics of floral organ formation." Journal of Theoretical Biology 454 (October 2018): 30–40. http://dx.doi.org/10.1016/j.jtbi.2018.05.032.

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8

FUJIMOTO, Koichi, Shuji ISHIHARA, and Kunihiko KANEKO. "Network Evolution of Spatial Pattern Formation." Seibutsu Butsuri 50, no. 1 (2010): 018–22. http://dx.doi.org/10.2142/biophys.50.018.

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9

Tainaka, K., S. Fukazawa, H. Nishimori, M. Yokosawa, and S. Mineshige. "Spatial Pattern Formation of Interstellar Medium." International Astronomical Union Colloquium 134 (1993): 117–20. http://dx.doi.org/10.1017/s0252921100014007.

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AbstractPopulation dynamics of multi-phased interstellar medium (ISM) is investigated by using the lattice model in position-fixed reaction. Interactions between three distinct phases of gas, cold clouds, warm gas, and hot gas give rise to cyclic phase changes in ISM. Such local phase changes are propagated in space, and stochastic steady-state spatial pattern is finally achieved. We obtain the following two characteristic patterns: (1)When the sweeping rate of a warm gas into a cold component is relatively high, cold clouds associated with warm gas form small-scale clumps and are dispersively distributed, whereas hot gas covers large fraction of space.(2)When the sweeping rate is relatively low, in contrast, warm gas and cold clouds are diffusively and equally distributed, while hot gas component is substantially localized.
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10

Müller, Stefan C., and John Ross. "Spatial Structure Formation in Precipitation Reactions." Journal of Physical Chemistry A 107, no. 39 (October 2003): 7997–8008. http://dx.doi.org/10.1021/jp030364o.

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11

Tainaka, K., S. Fukazawa, H. Nishimori, M. Yokosawa, and S. Mineshige. "Spatial pattern formation of interstellar medium." Astrophysics and Space Science 210, no. 1-2 (December 1993): 117–20. http://dx.doi.org/10.1007/bf00657880.

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12

Blockmans, Tom. "Essays on spatial coalition formation theory." 4OR 13, no. 4 (April 8, 2015): 443–44. http://dx.doi.org/10.1007/s10288-015-0286-7.

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13

Eguia, Jon X. "A spatial theory of party formation." Economic Theory 49, no. 3 (February 10, 2011): 549–70. http://dx.doi.org/10.1007/s00199-011-0604-z.

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14

Donovan, Graham M., and Thibaut Kritter. "Spatial pattern formation in the lung." Journal of Mathematical Biology 70, no. 5 (May 9, 2014): 1119–49. http://dx.doi.org/10.1007/s00285-014-0792-9.

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15

Long, Xiaoyang, and Sheng-Jia Zhang. "A novel somatosensory spatial navigation system outside the hippocampal formation." Cell Research 31, no. 6 (January 18, 2021): 649–63. http://dx.doi.org/10.1038/s41422-020-00448-8.

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AbstractSpatially selective firing of place cells, grid cells, boundary vector/border cells and head direction cells constitutes the basic building blocks of a canonical spatial navigation system centered on the hippocampal-entorhinal complex. While head direction cells can be found throughout the brain, spatial tuning outside the hippocampal formation is often non-specific or conjunctive to other representations such as a reward. Although the precise mechanism of spatially selective firing activity is not understood, various studies show sensory inputs, particularly vision, heavily modulate spatial representation in the hippocampal-entorhinal circuit. To better understand the contribution of other sensory inputs in shaping spatial representation in the brain, we performed recording from the primary somatosensory cortex in foraging rats. To our surprise, we were able to detect the full complement of spatially selective firing patterns similar to that reported in the hippocampal-entorhinal network, namely, place cells, head direction cells, boundary vector/border cells, grid cells and conjunctive cells, in the somatosensory cortex. These newly identified somatosensory spatial cells form a spatial map outside the hippocampal formation and support the hypothesis that location information modulates body representation in the somatosensory cortex. Our findings provide transformative insights into our understanding of how spatial information is processed and integrated in the brain, as well as functional operations of the somatosensory cortex in the context of rehabilitation with brain-machine interfaces.
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16

Vysloukh, V. A., V. Kutuzov, V. M. Petnikova, and V. V. Shuvalov. "Formation of spatial solitons and spatial shock waves in photorefractive crystals." Journal of Experimental and Theoretical Physics 84, no. 2 (February 1997): 388–94. http://dx.doi.org/10.1134/1.558128.

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17

Ye Yan, Chao Li, and Yue-neng Yang. "Simulation on Spacecraft Formation Flight and Formation Reconfiguration." MATEC Web of Conferences 160 (2018): 05011. http://dx.doi.org/10.1051/matecconf/201816005011.

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Spacecraft formation flight refers to two or more spacecraft according to a certain formation or arrangement of flight, it has important application value for deep spatial exploration, spatial science experiment, ground investigation and military and so. This paper studies the spacecraft formation flight design and formation reconfiguration based on STK. Firstly, the Clohessy-Wiltshire (CW) equation is used to describe the relative motion of the near-circular orbit and deduce the relative orbital dynamics model. Then, based on the dynamic method of the CW equation, the spatial circular formation is designed and the STK is applied to simulate it. Finally, based on the above formation, a simple multi-impulse formation reconfiguration is performed and the simulation test is verified by STK. The simulation results show that the absolute error of orbital elements of the spacecraft is calculated by the relative orbital dynamics model is less than 10-5, and the expected formation can be completed under the condition of two-body environment, and the feasibility of simple multi-pulse formation reconfiguration is proved successfully.
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18

HANIBUCHI, Tomoya. "Spatial Formation of International Non-Governmental Organizations." Geographical Review of Japan 78, no. 2 (2005): 87–112. http://dx.doi.org/10.4157/grj.78.87.

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19

TAKAYAMA, Yuki. "MECHANISMS OF PATTERN FORMATION IN SPATIAL ECONOMIES." Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 69, no. 5 (2013): I_31—I_46. http://dx.doi.org/10.2208/jscejipm.69.i_31.

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20

Ikemoto, Yusuke, Yasuhisa Hasegawa, Toshio Fukuda, and Kazuhiko Matsuda. "Graduated Spatial Pattern Formation of Robot Group." Journal of the Robotics Society of Japan 22, no. 7 (2004): 911–19. http://dx.doi.org/10.7210/jrsj.22.911.

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21

Collins, Peter. "Spatial cognition: Parietal cortex and hippocampal formation." Trends in Cognitive Sciences 1, no. 3 (June 1997): 85–86. http://dx.doi.org/10.1016/s1364-6613(97)01030-9.

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22

Ferrando, Albert, Mario Zacarés, Pedro Fernández de Córdoba, Daniele Binosi, and Juan A. Monsoriu. "Spatial soliton formation in photonic crystal fibers." Optics Express 11, no. 5 (March 10, 2003): 452. http://dx.doi.org/10.1364/oe.11.000452.

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23

Kollman, Ken, John H. Miller, and Scott E. Page. "Landscape formation in a spatial voting model." Economics Letters 55, no. 1 (August 1997): 121–30. http://dx.doi.org/10.1016/s0165-1765(97)00041-4.

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24

Yakubailik, Oleg E. "The Formation of Regional Spatial Data Infrastructure." Journal of Siberian Federal University. Engineering & Technologies 9, no. 7 (November 2016): 979–86. http://dx.doi.org/10.17516/1999-494x-2016-9-7-979-986.

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25

Shabazz, Rashad. "Toward a spatial analysis of racial formation." Dialogues in Human Geography 5, no. 2 (July 2015): 247–49. http://dx.doi.org/10.1177/2043820615574441.

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26

Manrubia, Susanna C., and Ricard V. Solé. "On Forest Spatial Dynamics with Gap Formation." Journal of Theoretical Biology 187, no. 2 (July 1997): 159–64. http://dx.doi.org/10.1006/jtbi.1997.0409.

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27

Horvath, V. K., and T. Vicsek. "Stochastic spatial behaviour in deterministic pattern formation." Journal of Physics A: Mathematical and General 23, no. 6 (March 21, 1990): L259—L264. http://dx.doi.org/10.1088/0305-4470/23/6/005.

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28

Mareev, E. A., and G. F. Sarafanov. "On spatial structures formation in dusty plasmas." Physics of Plasmas 5, no. 5 (May 1998): 1563–65. http://dx.doi.org/10.1063/1.873097.

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29

Wöbbeking, T., H. Dötsch, and A. F. Popkov. "Spatial pattern formation in strongly driven ferromagnets." Journal of Physics D: Applied Physics 31, no. 20 (October 21, 1998): 2751–53. http://dx.doi.org/10.1088/0022-3727/31/20/008.

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30

Couton, Gilles, Hervé Maillotte, and Mathieu Chauvet. "Self-formation of multiple spatial photovoltaic solitons." Journal of Optics B: Quantum and Semiclassical Optics 6, no. 5 (May 1, 2004): S223—S230. http://dx.doi.org/10.1088/1464-4266/6/5/009.

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31

Frot-Coutaz, Jacques, Robert Létoublon, Agnès Degiuli, Yannick Fayet, Colette Audigier-Petit, and René Got. "Spatial aspects of mannosyl phosphoryl retinol formation." Biochimica et Biophysica Acta (BBA) - General Subjects 841, no. 3 (September 1985): 299–305. http://dx.doi.org/10.1016/0304-4165(85)90072-8.

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32

ZHANG, YUHONG, KEQING LU, JIANBANG GUO, XUEWEN LONG, XIAOHONG HU, and KEHAO LI. "Formation of multiple dark photovoltaic spatial solitons." Pramana 78, no. 2 (January 11, 2012): 265–75. http://dx.doi.org/10.1007/s12043-011-0226-9.

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33

Parajuli, Jitendra, and Kingsley Haynes. "Spatial Heterogeneity, Broadband, and New Firm Formation." Quality Innovation Prosperity 21, no. 1 (April 30, 2017): 165. http://dx.doi.org/10.12776/qip.v20i3.791.

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<p><strong>Purpose:</strong> This paper examines the spatial heterogeneity associated with broadband Internet and new firm formation in a number of U.S. states.</p><p><strong>Methodology/Approach:</strong> Both ordinary least-squares regression and Geographically Weighted Regression are used for the estimation purpose.</p><p><strong>Findings:</strong> The global coefficient estimates of ordinary least-squares regression account for the marginal change in a phenomenon, but such a global measure cannot reveal the locally-varying dynamics. Using Geographically Weighted Regression, it was found that at the aggregate and economic sector levels, the association between single-unit firm births and the provision of broadband Internet varies across counties in Florida and Ohio.</p><p><strong>Originality/Value of paper:</strong> There are numerous studies on broadband Internet in the U.S., but this is the first that explicitly examines broadband provision and new firm formation by taking into account spatial heterogeneity across countries.</p>
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34

Hülskamp, Martin, and Arp Schnittger. "Spatial regulation of trichome formation inArabidopsis thaliana." Seminars in Cell & Developmental Biology 9, no. 2 (April 1998): 213–20. http://dx.doi.org/10.1006/scdb.1997.0209.

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35

Wako, Ryo, and Saho Ayabe-Kanamura. "Formation of haptic peri-personal spatial representation." Proceedings of the Annual Convention of the Japanese Psychological Association 78 (September 10, 2014): 2PM—1–068–2PM—1–068. http://dx.doi.org/10.4992/pacjpa.78.0_2pm-1-068.

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36

KURT KIRAL, Merve, and Emel AKIN. "SPATIAL FORMATION IN ARCADES: ANKARA-YENİŞEHİR ARCADES." INTERNATIONAL REFEREED JOURNAL OF DESIGN AND ARCHITECTURE, no. 21 (2020): 0. http://dx.doi.org/10.17365/tmd.2020.21.7.

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Spaces are conditioned by social conditions; on the other hand, social structure is affected by spaces. Arcades, the subject of this article, first appeared in Europe in the 18th century as a result of an increase in trading activities. The arcades in Ankara, which were started to be built in the 1950s together with increasing trading activities, contributed to the urban economy with intense activities of shopping, re-determined social and urban relations as essential places of everyday life and became distinctive urban buildings with their original building typologies and the function of maintaining public continuity in the area of private ownership. Aim: This study aims to study the process in which passages emerged and to analyze their spatial features and, in particular, to examine the spatial formation of the distinctive passages in Ankara on the basis of their causation. Method: In the article, spatial features of the passages in the West were mentioned, and the conditions of the period in which the passages in Ankara were built were briefly explained. Spatial analysis of the passages found in the research area were conducted, and the formation of these passages were analyzed together with their reasons. Results: Of the 31 arcades in Ankara, 27 were built between 1950 and 1980 on and around the Atatürk Boulevard in Yenişehir/Kizilay. As of the mid-1950s, new planning decisions which were made one after the other in the built-up area re-shaped the Boulevard and its surrounding as the existing buildings were demolished, allowing to construct new buildings with arcades or stores in their entrances. Their interior designs and connections to the streets are different from the arcades in the West. Conclusion: The present subdivision system and new planning decisions applied in property order shaped the passages which were peculiar to Ankara.
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37

Mandolesi, L., M. G. Leggio, F. Spirito, and L. Petrosini. "Cerebellar contribution to spatial event processing: do spatial procedures contribute to formation of spatial declarative knowledge?" European Journal of Neuroscience 18, no. 9 (November 2003): 2618–26. http://dx.doi.org/10.1046/j.1460-9568.2003.02990.x.

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38

He, Yilin, Jingdi Zhang, Si Xiao, Yingwei Wang, and Jun He. "Effect of concentration on the formation time of diffraction rings in spatial self-phase modulation." Chinese Optics Letters 20, no. 1 (2022): 011901. http://dx.doi.org/10.3788/col202220.011901.

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39

Peet, Richard. "Materialism, Social Formation and Socio-Spatial Relations : an Essay in Marxist Geography." Cahiers de géographie du Québec 22, no. 56 (April 12, 2005): 147–57. http://dx.doi.org/10.7202/021390ar.

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Marxist geography is a part of marxist science and as such it has the relative autonomy of the instances of the societal whole studied. These instances or the relations between instances which are the object of marxist geography are first the dialectical relation between social formations and the natural world and second the spatial dialectic between components of a social formation embedded into space or between social formations in different regions. Hence the need to refer to the concepts of mode of production and of social formation and to define and illustrate the concept of spatial dialectic and the development of contradictions in space.
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40

Middleton, Deborah A. "Multi-Scale Assessment of Urban Gardens as Constructed Habitats for Biodiversity Conservation in Jeddah, Saudi Arabia." International Journal of Environmental Science & Sustainable Development 4, no. 3 (December 30, 2019): 27. http://dx.doi.org/10.21625/essd.v4i3.675.

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Biodiversity in arid urban environments depends upon habitat formation that balances both bioclimatic and biophysical environment needs. There is the potential for urban gardens to establish symbiotic ecosystem services from microhabitat formation that collectively form an assemblage of ecological patches to connect a diverse range of flora and fauna, and establish community driven nursery and seed collection initiatives. This study of urban garden habitats situated within a new urban district of Jeddah Saudi. The analysis concentrates on the ability of garden spatial formations to construct a heterogeneous spatial morphology of sub-patch within the larger urban landscape patch. Patch and subpatch formations are examined based on the criteria of (I) assemblage of the spatial habitat (characterized by shape and spatial organization); (II) integration of spatial, functional and vegetation plantation patterns; (III) connectivity. Findings reveal that garden layout is structured by the integration and layering of plant types to generate cool understory habitat with seedling establishment, and water conservation. Designed layout of the garden as a spatial pattern is augmented with a range of microclimate mediators to dim solar exposure within the plantation habitat. A strong heterogeneity in plant formations and combinations is seen to dominant the garden formations.
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41

Zobel, Benjamin H., Richard L. Freyman, and Lisa D. Sanders. "Attention is critical for spatial auditory object formation." Attention, Perception, & Psychophysics 77, no. 6 (May 5, 2015): 1998–2010. http://dx.doi.org/10.3758/s13414-015-0907-4.

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42

Zayachyk, M. "FORMATION OF FARMING IN UKRAINE: SPATIAL-TEMPORAL ANALYSIS." Ukrainian Geographical Journal 2014, no. 4 (November 15, 2014): 57–62. http://dx.doi.org/10.15407/ugz2014.04.057.

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43

Getling, A. V. "Formation of spatial structures in Rayleigh—Bйnard convection." Uspekhi Fizicheskih Nauk 161, no. 9 (1991): 1–80. http://dx.doi.org/10.3367/ufnr.0161.199109a.0001.

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44

Heinz, G., J. Parisi, V. Ya Pokrovskii, and A. Kittel. "Spatial structure formation in charge density wave systems." Synthetic Metals 104, no. 1 (June 1999): 61–71. http://dx.doi.org/10.1016/s0379-6779(99)00027-2.

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45

Sun, Gui-Quan, Juan Zhang, Li-Peng Song, Zhen Jin, and Bai-Lian Li. "Pattern formation of a spatial predator–prey system." Applied Mathematics and Computation 218, no. 22 (July 2012): 11151–62. http://dx.doi.org/10.1016/j.amc.2012.04.071.

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46

Scarsoglio, Stefania, Francesco Laio, Paolo D’Odorico, and Luca Ridolfi. "Spatial pattern formation induced by Gaussian white noise." Mathematical Biosciences 229, no. 2 (February 2011): 174–84. http://dx.doi.org/10.1016/j.mbs.2010.11.008.

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47

Pantleon, W., and N. Hansen. "Disorientations in dislocation boundaries: formation and spatial correlation." Materials Science and Engineering: A 309-310 (July 2001): 246–50. http://dx.doi.org/10.1016/s0921-5093(00)01762-7.

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48

Zhang, Yang, and Komei Sasaki. "Effects of subcenter formation on urban spatial structure." Regional Science and Urban Economics 27, no. 3 (June 1997): 297–324. http://dx.doi.org/10.1016/s0166-0462(96)02164-3.

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49

Getling, Aleksandr V. "Formation of spatial structures in Rayleigh–Bénard convection." Soviet Physics Uspekhi 34, no. 9 (September 30, 1991): 737–76. http://dx.doi.org/10.1070/pu1991v034n09abeh002470.

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50

Simpson, I. A. "Spatial constraints on anthropogenic soil formation in Orkney." Scottish Geographical Magazine 110, no. 2 (September 1994): 100–104. http://dx.doi.org/10.1080/00369229418736914.

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