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Livres sur le sujet « Planar cluster »

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Auteur : Grafiati
Publié le 10 mars 2023

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1

U.S. Fish and Wildlife Service. Region 1, dir. Lana'i plant cluster recovery plan. Portland, Or : U.S. Fish and Wildlife Service, 1995.

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2

U.S. Fish and Wildlife Service., dir. Big Island plant cluster recovery plan. Portland, Or : Published by U.S. Fish and Wildlife Service, 1996.

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3

Patricia, Douglas, et U.S. Fish and Wildlife Service. Region 1., dir. Big Island plant cluster recovery plan. Portland, Or : U.S. Fish and Wildlife Service, 1996.

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4

U.S. Fish and Wildlife Service. Region 1., dir. Lana'i plant cluster recovery plan. Portland, Or : U.S. Fish and Wildlife Service, 1995.

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5

U.S. Fish and Wildlife Service. Region 1, dir. Recovery plan for Koolau Mountain Plant Cluster. Portland, Or : The Service, 1996.

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6

U.S. Fish and Wildlife Service. Region 1. Recovery plan for the Molokai plant cluster. Portland, Or : U.S. Fish and Wildlife Service, 1996.

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7

Recovery plan for the Molokai plant cluster. Portland, Or : U.S. Fish and Wildlife Service, 1996.

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8

U.S. Fish and Wildlife Service. Region 1., dir. Recovery plan for Koolau Mountain Plant Cluster. Portland, Or : The Service, 1996.

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9

Sharpe, Elizabeth. Recovery plan for the Waianae plant cluster. Portland, Or : U.S. Fish and Wildlife Service, Pacific Region, 1995.

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10

Sharpe, Elizabeth. Recovery plan for the Waianae plant cluster. Portland, Or : U.S. Fish and Wildlife Service, Pacific Region, 1995.

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11

U.S. Fish and Wildlife Service. Region 1., dir. Recovery plan for the Maui plant cluster (Hawaii). Portland, Or : U.S. Fish and Wildlife Service, 1997.

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12

U.S. Fish and Wildlife Service, dir. Draft recovery plan for the multi-island plant cluster. Portland, Or : U.S. Fish & Wildlife Service, 1996.

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13

Cluster pavilions : Expo Milano 2015. Segrate, Milano : Mondadori, 2014.

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14

Rowland, Craig. Recovery plan for the Molokai plant cluster. Portland, Or : U.S. Fish and Wildlife Service, 1996.

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15

Johnston, Scott M. Recovery plan for the Koolau Mountain plant cluster. Portland, Or : U.S. Fish and Wildlife Service, 1996.

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16

U.S. Fish and Wildlife Service. Region 1., dir. Kauai II : Addendum to the recovery plan for the Kauai plant cluster : draft. Portland, Or : U.S. Fish and Wildlife Service, 1997.

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17

H, Lambers, et Poot P, dir. Structure and functioning of cluster roots and plant responses to phosphate deficiency. Dordrecht : Kluwer Academic Publishers, 2003.

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18

U.S. Fish and Wildlife Service. Region 1., dir. Draft : Molokai II : addendum to the recovery plan for the Molokai plant cluster. Portland, Or : U.S. Fish and Wildlife Service, 1997.

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19

U.S. Fish and Wildlife Service, dir. Draft : Kauai II : addendum to the recovery plan for the Kauai plant cluster. Portland, Or : U.S. Fish and Wildlife Service, 1997.

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20

U.S. Fish and Wildlife Service, dir. Draft : Molokai II : addendum to the recovery plan for the Molokai plant cluster. Portland, Or : U.S. Fish and Wildlife Service, 1997.

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21

U.S. Fish and Wildlife Service., dir. Molokai II : Addendum to the recovery plan for the Molokai plant cluster. Portland, Or : U.S. Fish and Wildlife Service, 1998.

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22

U.S. Fish and Wildlife Service. Region 1, dir. Recovery plan for the Wahiawa plant cluster : Cyanea undulata, Dubautia pauciflorula, Hesperomannia lydgatei, Labordia lydgatei and Viola helenae. Portland, Or : U.S. Fish and Wildlife Service, 1994.

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23

Jensen, Karen. Big Island II : Addendum to the recovery plan for the Big Island plant cluster. Portland, Or : U.S. Fish and Wildlife Service, 1997.

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24

Jensen, Karen. Big Island II : Addendum to the recovery plan for the Big Island plant cluster. Portland, Or : U.S. Fish and Wildlife Service, 1997.

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25

Jensen, Karen. Big Island II : Addendum to the recovery plan for the Big Island plant cluster. Portland, Or : U.S. Fish and Wildlife Service, 1997.

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26

United States. National Aeronautics and Space Administration., dir. Spectral characteristics and the extent of paleosols of the Palouse formation : Second semiannual progress report. [Washington, D.C : National Aeronautics and Space Administration, 1987.

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27

Jensen, Karen. Big Island II : Addendum to the recovery plan for the Big Island plant cluster : draft. Portland, Or : U.S. Fish and Wildlife Service, 1997.

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28

Jensen, Karen. Big Island II : Addendum to the recovery plan for the Big Island plant cluster : draft. Portland, Or : U.S. Fish and Wildlife Service, 1997.

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29

Jensen, Karen. Big Island II : Addendum to the recovery plan for the Big Island plant cluster : draft. Portland, Or : U.S. Fish and Wildlife Service, 1997.

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30

Michael, Pyatok, et University of Washington. Dept. of Architecture., dir. Designing for density : Ideas for more compact housing and communities. Seattle : Dept. of Architecture, College of Architecture and Urban Planning, University of Washington, 1992.

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31

Murray, Louis C. Hydrogeologic and water-quality data from well clusters near the wastewater-treatment plant, U.S. Marine Corps Air Station, Cherry Point, North Carolina. Raleigh, N.C : Dept. of the Interior, U.S. Geological Survey, 1990.

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32

C, Daniel Charles, United States Marine Corps et Geological Survey (U.S.), dir. Hydrogeologic and water-quality data from well clusters near the wastewater-treatment plant, U.S. Marine Corps Air Station, Cherry Point, North Carolina. Raleigh, N.C : Dept. of the Interior, U.S. Geological Survey, 1990.

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33

Murray, Louis C. Hydrogeologic and water-quality data from well clusters near the wastewater-treatment plant, U.S. Marine Corps Air Station, Cherry Point, North Carolina. Raleigh, N.C : Dept. of the Interior, U.S. Geological Survey, 1990.

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34

C, Daniel Charles, United States Marine Corps et Geological Survey (U.S.), dir. Hydrogeologic and water-quality data from well clusters near the wastewater-treatment plant, U.S. Marine Corps Air Station, Cherry Point, North Carolina. Raleigh, N.C : Dept. of the Interior, U.S. Geological Survey, 1990.

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35

Javier, Mozas, et Arpa Javier, dir. HoCo : Density housing construction & costs. Vitoria-Gasteiz : A+t, 2009.

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36

(India), National Buildings Organisation, dir. Low cost rural houses : Compilation of completed clusters of demonstration rural housing projects put up by Regional Housing Development Centres of NBO. New Delhi : Govt. of India, National Buildings Organisation and U.N. Regional Housing Centre, ESCAP, 1987.

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37

Projeler yapılar. Fulya, İstanbul : YEM, 2010.

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38

Big Island plant cluster recovery plan. Portland, Or : Published by U.S. Fish and Wildlife Service, 1996.

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39

Recovery plan for the Kauai plant cluster. Portland, Or : U.S. Fish and Wildlife Service, 1995.

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40

Spectral characteristics and the extent of paleosols of the Palouse formation : Final report. [Washington, DC : National Aeronautics and Space Administration, 1988.

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41

Induced resistance to disease in plants. Dordrecht : Kluwer Academic Publishers, 1995.

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42

Häuser in der Gruppe. Kissing : WEKA Fachverlage, 1990.

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43

Collective Housing : A Manual. Actar, 2007.

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44

Collective housing : A manual. Barcelona : Actar, 2007.

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45

Esler, Karen J., Anna L. Jacobsen et R. Brandon Pratt. Organisms and their Interactions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198739135.003.0003.

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Both animal and plant species exhibit adaptive traits related to features of mediterranean-type ecosystems (MTEs). For plants, the seasonality of the MTC has been an important factor in the evolution of plant phenological traits. Root adaptive traits that improve nutrient extraction from impoverished soils are present within MTC regions, including cluster roots, root nodules, and mycorrhizal symbioses. Fire has been an important driver of plant traits, such as smoke, charate, or heat-induced seed germination or seed release (i.e. serotiny), and post-fire flowering. Adaptive traits in animals include both physiological and behavioural traits. MTC regions have been used in the study of many ecological and evolutionary patterns, particularly as related to organismal adaptations to unique soil and substrates (edaphic communities) and interactions between plants and animals, such as plant–herbivore interactions, plant–pollinator interactions, and plant–seed disperser interactions. These interactions shape many plant and animal characters within MTC regions.
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46

Goldstein, Inge F., et Martin Goldstein. How Much Risk ? Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195139945.001.0001.

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An excellent critical analysis and scientific assessment of the nature and actual level of risk leading environmental health hazards pose to the public. Issues such as radiation from nuclear testing, radon in the home, and the connection between electromagnetic fields and cancer, environmental factors and asthma, pesticides and breast cancer and leukemia clusters around nuclear plants are discussed, and how scientists assess these risks is illuminated. This book will enable readers to better understand environmental health issues, and with the proper scientific understanding, make informed, rational decisions about them.
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47

Horing, Norman J. Morgenstern. Non-Equilibrium Green’s Functions : Variational Relations and Approximations for Particle Interactions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0009.

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Chapter 09 Nonequilibrium Green’s functions (NEGF), including coupled-correlated (C) single- and multi-particle Green’s functions, are defined as averages weighted with the time-development operator U(t0+τ,t0). Linear conductivity is exhibited as a two-particle equilibrium Green’s function (Kubo-type formulation). Admitting particle sources (S:η,η+) and non-conservation of number, the non-equilibrium multi-particle Green’s functions are constructed with numbers of creation and annihilation operators that may differ, and they may be derived as variational derivatives with respect to sources η,η+ of a generating functional eW=TrU(t0+τ,t0)CS/TrU(t0+τ,t0)C. (In the non-interacting case this yields the n-particle Green’s function as a permanent/determinant of single-particle Green’s functions.) These variational relations yield a symmetric set of multi-particle Green’s function equations. Cumulants and the Linked Cluster Theorem are discussed and the Random Phase Approximation (RPA) is derived variationally. Schwinger’s variational differential formulation of perturbation theories for the Green’s function, self-energy, vertex operator, and also shielded potential perturbation theory, are reviewed. The Langreth Algebra arises from analytic continuation of integration of products of Green’s functions in imaginary time to the real-time axis with time-ordering along the integration contour in the complex time plane. An account of the Generalized Kadanoff-Baym Ansatz is presented.
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48

Wang, Bin. Intraseasonal Modulation of the Indian Summer Monsoon. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.616.

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The strongest Indian summer monsoon (ISM) on the planet features prolonged clustered spells of wet and dry conditions often lasting for two to three weeks, known as active and break monsoons. The active and break monsoons are attributed to a quasi-periodic intraseasonal oscillation (ISO), which is an extremely important form of the ISM variability bridging weather and climate variation. The ISO over India is part of the ISO in global tropics. The latter is one of the most important meteorological phenomena discovered during the 20th century (Madden & Julian, 1971, 1972). The extreme dry and wet events are regulated by the boreal summer ISO (BSISO). The BSISO over Indian monsoon region consists of northward propagating 30–60 day and westward propagating 10–20 day modes. The “clustering” of synoptic activity was separately modulated by both the 30–60 day and 10–20 day BSISO modes in approximately equal amounts. The clustering is particularly strong when the enhancement effect from both modes acts in concert. The northward propagation of BSISO is primarily originated from the easterly vertical shear (increasing easterly winds with height) of the monsoon flows, which by interacting with the BSISO convective system can generate boundary layer convergence to the north of the convective system that promotes its northward movement. The BSISO-ocean interaction through wind-evaporation feedback and cloud-radiation feedback can also contribute to the northward propagation of BSISO from the equator. The 10–20 day oscillation is primarily produced by convectively coupled Rossby waves modified by the monsoon mean flows. Using coupled general circulation models (GCMs) for ISO prediction is an important advance in subseasonal forecasts. The major modes of ISO over Indian monsoon region are potentially predictable up to 40–45 days as estimated by multiple GCM ensemble hindcast experiments. The current dynamical models’ prediction skills for the large initial amplitude cases are approximately 20–25 days, but the prediction of developing BSISO disturbance is much more difficult than the prediction of the mature BSISO disturbances. This article provides a synthesis of our current knowledge on the observed spatial and temporal structure of the ISO over India and the important physical processes through which the BSISO regulates the ISM active-break cycles and severe weather events. Our present capability and shortcomings in simulating and predicting the monsoon ISO and outstanding issues are also discussed.
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