Journal articles: 'Large-scale survey'

1

Demers, S., M. J. Irwin, and W. E. Kunkel. "Large scale photographic survey of Fornax." Astronomical Journal 108 (November 1994): 1648. http://dx.doi.org/10.1086/117186.

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PAO, ELEANOR M., KATHERINE E. SYKES, and YASMIN S. CYPEL. "Dietary Intake—Large Scale Survey Methods." Nutrition Today 25, no. 6 (November 1990): 11–17. http://dx.doi.org/10.1097/00017285-199011000-00004.

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Zheng, Kan, Long Zhao, Jie Mei, Bin Shao, Wei Xiang, and Lajos Hanzo. "Survey of Large-Scale MIMO Systems." IEEE Communications Surveys & Tutorials 17, no. 3 (2015): 1738–60. http://dx.doi.org/10.1109/comst.2015.2425294.

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Bahcall, N. A. "Large Scale Structure of the Universe." Symposium - International Astronomical Union 179 (1998): 317–28. http://dx.doi.org/10.1017/s0074180900128906.

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How is the universe organized on large scales? How did this structure evolve from the unknown initial conditions of a rather smooth early universe to the present time? The answers to these questions will shed light on the cosmology we live in, the amount, composition and distribution of matter in the universe, the initial spectrum of density fluctuations that gave rise to this structure, and the formation and evolution of galaxies, lusters of galaxies, and larger scale structures.To address these fundamental questions, large and accurate sky surveys are needed—in various wavelengths and to various depths. In this presentation I review current observational studies of large scale structure, present the constraints these observations place on cosmological models and on the amount of dark matter in the universe, and highlight some of the main unsolved problems in the field of large-scale structure that could be solved over the next decade with the aid of current and future surveys. I briefly discuss some of these surveys, including the Sloan Digital Sky Survey that will provide a complete imaging and spectroscopic survey of the high-latitude northern sky, with redshifts for the brightest ∼ 106 galaxies, 105 quasars, and 103.5 rich clusters of galaxies. The potentialities of the SDSS survey, as well as of cross-wavelength surveys, for resolving some of the unsolved problems in large-scale structure and cosmology are discussed.

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Pierre, Marguerite. "X-ray Cluster Large Scale Structure and Cosmology." Symposium - International Astronomical Union 216 (2005): 373–80. http://dx.doi.org/10.1017/s0074180900196809.

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We outline the main arguments in favor of cosmological X-ray surveys of galaxy clusters. We summarize recent advances in our understanding of cluster physics. After a short review of past surveys, we present the scientific motivations of the XMM Large Scale Structure survey. We further illustrate how such a survey can help constrain the nature of the dark energy as well as cluster scaling law evolution, i.e. non-gravitational physics.

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Holtham, Elliot, and Douglas W. Oldenburg. "Large-scale inversion of ZTEM data." GEOPHYSICS 77, no. 4 (July 1, 2012): WB37—WB45. http://dx.doi.org/10.1190/geo2011-0367.1.

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A Z-Axis Tipper Electromagnetic Technique (ZTEM) survey is an airborne natural source electromagnetic survey that relates the vertical magnetic field to the horizontal magnetic fields measured at a reference station on the ground. For large airborne surveys, the high number of cells required to discretize the entire area at a reasonable resolution can make the computational cost of inverting the data set all at once prohibitively expensive. We present an iterative methodology that can be used to invert large natural source surveys by using a combination of coarse and fine meshes as well as a domain decomposition that allows the full model area to be split into smaller subproblems, which can be run in parallel. For this procedure, the entire data set is first inverted on a coarse mesh. The recovered coarse model and computed fields are used as starting models and source terms in the subsequent tiled inversions. After each round of tiled inversions, the tiles are merged together to form an update model, which is then forward modeled to determine if the model achieves the target misfit. Following this procedure, we first invert the data computed from a large synthetic model of the Noranda mining camp. The inverted models from this example are consistent among our different tiling choices. The recovered models show excellent large-scale agreement with the true model and they also recover several of the mineralized zones that were not apparent from the initial coarse inversion. Finally, we invert a [Formula: see text] block of the 2010 ZTEM survey collected over the porphyry Pebble Deposit in Alaska. The inverted ZTEM results are consistent with the results obtained using other electromagnetic methods.

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Liu, Ning, Dong-sheng Li, Yi-ming Zhang, and Xiong-lve Li. "Large-scale graph processing systems: a survey." Frontiers of Information Technology & Electronic Engineering 21, no. 3 (March 2020): 384–404. http://dx.doi.org/10.1631/fitee.1900127.

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Deaton, David. "Management style and large scale survey evidence." Industrial Relations Journal 16, no. 2 (June 1985): 67–71. http://dx.doi.org/10.1111/j.1468-2338.1985.tb00516.x.

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Walsh, Andrew J., Philip C. Myers, James Di Francesco, Subhanjoy Mohanty, Tyler L. Bourke, Robert Gutermuth, and David Wilner. "A Large‐Scale Survey of NGC 1333." Astrophysical Journal 655, no. 2 (February 2007): 958–72. http://dx.doi.org/10.1086/510193.

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Thompson, David R., David S. Wettergreen, and Francisco J. Calderóon Peralta. "Autonomous science during large-scale robotic survey." Journal of Field Robotics 28, no. 4 (June 21, 2011): 542–64. http://dx.doi.org/10.1002/rob.20391.

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Naboulsi, Diala, Marco Fiore, Stephane Ribot, and Razvan Stanica. "Large-Scale Mobile Traffic Analysis: A Survey." IEEE Communications Surveys & Tutorials 18, no. 1 (2016): 124–61. http://dx.doi.org/10.1109/comst.2015.2491361.

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BAZIGOS, G., and S. KAVADAS. "Optimal sampling designs for large-scale fishery sample surveys in Greece." Mediterranean Marine Science 8, no. 2 (December 3, 2007): 65. http://dx.doi.org/10.12681/mms.154.

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The paper presents the quality problem of fishery statistics produced by the conducted land-based and sea-going, large scale sample surveys of the survey programme of the Institute of Marine Biological Resources of the Hellenic Centre for Marine Research (IMBR/HCMR) in Greece, and the optimality strategies developed in their sampling designs for the maximization of precision of the calculated sample estimates for a given cost of sampling.The optimality problems of the sampling designs of the individual large scale sample surveys are described, and the optimality solutions developed under the sampling variance structure are explained.The paper deals with the optimization of the following three large scale sample surveys: biological sample survey of commercial landings (BSCL), experimental fishing sample survey (EFSS), and commercial landings and effort sample survey (CLES).

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Fong, R., N. Metcalfe, and T. Shanks. "Photometric Calibration and Large-Scale Clustering in the Universe." Symposium - International Astronomical Union 161 (1994): 295–300. http://dx.doi.org/10.1017/s0074180900047513.

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The machine measurements of UK Schmidt plates have produced two very large galaxy surveys, the APM survey and the Edinburgh-Durham Southern Galaxy Catalogue (or COSMOS survey). These surveys can constrain the power on large scales of ≳ 10h −1 Mpc better than current redshift surveys, simply because such large numbers, ≳ 2 million galaxies to bJ ≤ 20.5, provide very high signal/noise in the estimated two-point correlation function for galaxies. Furthermore, the results for the three-dimensional galaxy two point correlation function, ξ(r), obtained from the measured projected function, ω(θ), should be quite robust for reasonable model number-redshift distributions, N(z), for these magnitude limits (see, e.g., Roche et al. 1993). Another clear advantage of measuring ω(θ) is that it is unaffected by the peculiar velocities of the galaxies, whereas they have an important effect on the corresponding ξ,(s) using galaxy redshift surveys.

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Jawale, Anupama, and Ganesh Magar. "Survey of Clustering Methods for Large Scale Dataset." International Journal of Computer Sciences and Engineering 7, no. 5 (May 31, 2019): 1338–44. http://dx.doi.org/10.26438/ijcse/v7i5.13381344.

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Hu, Huaping. "Survey of Security Technology for Large Scale MANET." Journal of Computer Research and Development 44, no. 4 (2007): 545. http://dx.doi.org/10.1360/crad20070401.

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Gonzalez-Solares, E. A., S. Oliver, C. Gruppioni, F. Pozzi, C. Lari, M. Rowan-Robinson, S. Serjeant, F. La Franca, and M. Vaccari. "Large-scale structure in the ELAIS S1 Survey." Monthly Notices of the Royal Astronomical Society 352, no. 1 (July 2004): 44–48. http://dx.doi.org/10.1111/j.1365-2966.2004.07890.x.

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Doroshkevich, A., D. L. Tucker, S. Allam, and M. J. Way. "Large scale structure in the SDSS galaxy survey." Astronomy & Astrophysics 418, no. 1 (April 2004): 7–23. http://dx.doi.org/10.1051/0004-6361:20031780.

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Gordon, Claire C., and Bruce Bradtmiller. "Interobserver error in a large scale anthropometric survey." American Journal of Human Biology 4, no. 2 (1992): 253–63. http://dx.doi.org/10.1002/ajhb.1310040210.

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GUSTEDT, JENS, EMMANUEL JEANNOT, and MARTIN QUINSON. "EXPERIMENTAL METHODOLOGIES FOR LARGE-SCALE SYSTEMS: A SURVEY." Parallel Processing Letters 19, no. 03 (September 2009): 399–418. http://dx.doi.org/10.1142/s0129626409000304.

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The increasing complexity of available infrastructures with specific features (caches, hyperthreading, dual core, etc.) or with complex architectures (hierarchical, parallel, distributed, etc.) makes it extremely difficult to build analytical models that allow for a satisfying prediction. Hence, it raises the question on how to validate algorithms if a realistic analytic analysis is not possible any longer. As for some many other sciences, the one answer is experimental validation. Nevertheless, experimentation in Computer Science is a difficult subject that today still opens more questions than it solves: What may an experiment validate? What is a "good experiment"? How to build an experimental environment that allows for "good experiments"? etc. In this paper we will provide some hints on this subject and show how some tools can help in performing "good experiments", mainly in the context of parallel and distributed computing. More precisely we will focus on four main experimental methodologies, namely in-situ (real-scale) experiments (with an emphasis on PlanetLab and Grid'5000), Emulation (with an emphasis on Wrekavoc) benchmarking and simulation (with an emphasis on SimGRID and GridSim). We will provide a comparison of these tools and methodologies from a quantitative but also qualitative point of view.

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Diemer, Matthew A. "Large Scale Survey Data in Career Development Research." Journal of Career Development 35, no. 1 (September 2008): 42–59. http://dx.doi.org/10.1177/0894845308317935.

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Locke, Sean A., Monica Caffara, David J. Marcogliese, and Maria L. Fioravanti. "A large-scale molecular survey ofClinostomum(Digenea, Clinostomidae)." Zoologica Scripta 44, no. 2 (December 22, 2014): 203–17. http://dx.doi.org/10.1111/zsc.12096.

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22

Sutton, Halley. "Large-scale sexual assault survey reinforces violence rates." Campus Security Report 12, no. 9 (December 16, 2015): 9. http://dx.doi.org/10.1002/casr.30121.

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23

Peacock, J. A. "Large-Scale Structure from 2dFGRS." Symposium - International Astronomical Union 216 (2005): 77–94. http://dx.doi.org/10.1017/s0074180900196524.

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The 2dF Galaxy Redshift Survey is now complete, and the full data are public. 2dFGRS was the first survey to observe more than 100,000 redshifts, making possible precise measurements of many aspects of galaxy clustering, which can be studied as a function of galaxy spectral type, and also of broad-band colour. Early-type galaxies are more strongly clustered than late types, with a relative bias of b = 1.25 ± 0.09 on large scales. For both types, luminosity dependence of clustering is detected at high significance, and is well described by a relative bias of b/b* = 0.85 + 0.15(L/L*). This is consistent with the observation that L* in rich clusters is brighter than the global value by 0.28 ± 0.08 mag. Redshift-space distortions from large-scale infall velocities measure the distortion parameter β = Ω0.6m/b = 0.49 ± 0.09. The power spectrum is measured to ≲ 10% accuracy for k > 0.02 h Mpc--1, and is well fitted by a CDM model with Ωmh = 0.18 ± 0.02 and a baryon fraction of 0.17 ± 0.06. The 2dFGRS plays an essential role in breaking model degeneracies inherent in CMB data; a joint analysis with WMAP results requires Ωm = 0.25 ± 15% and h = 0.73 ± 5%, assuming scalar fluctuations.

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Tröster, Tilman, Ariel G. Sánchez, Marika Asgari, Chris Blake, Martín Crocce, Catherine Heymans, Hendrik Hildebrandt, et al. "Cosmology from large-scale structure." Astronomy & Astrophysics 633 (January 2020): L10. http://dx.doi.org/10.1051/0004-6361/201936772.

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We reanalyse the anisotropic galaxy clustering measurement from the Baryon Oscillation Spectroscopic Survey (BOSS), demonstrating that using the full shape information provides cosmological constraints that are comparable to other low-redshift probes. We find Ωm = 0.317+0.015−0.019, σ8 = 0.710±0.049, and h = 0.704 ± 0.024 for flat ΛCDM cosmologies using uninformative priors on Ωch2, 100θMC, ln1010As, and ns, and a prior on Ωbh2 that is much wider than current constraints. We quantify the agreement between the Planck 2018 constraints from the cosmic microwave background and BOSS, finding the two data sets to be consistent within a flat ΛCDM cosmology using the Bayes factor as well as the prior-insensitive suspiciousness statistic. Combining two low-redshift probes, we jointly analyse the clustering of BOSS galaxies with weak lensing measurements from the Kilo-Degree Survey (KV450). The combination of BOSS and KV450 improves the measurement by up to 45%, constraining σ8 = 0.702 ± 0.029 and S8 = σ8 Ωm/0.3 = 0.728 ± 0.026. Over the full 5D parameter space, the odds in favour of a single cosmology describing galaxy clustering, lensing, and the cosmic microwave background are 7 ± 2. The suspiciousness statistic signals a 2.1 ± 0.3σ tension between the combined low-redshift probes and measurements from the cosmic microwave background.

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Zwaan, Martin, Martin Meyer, Rachel Webster, and Lister Staveley-Smith. "The Local Large-Scale Structure from HIPASS." Symposium - International Astronomical Union 216 (2005): 196–202. http://dx.doi.org/10.1017/s0074180900196639.

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The HI Parkes All Sky Survey (HIPASS) offers a unique perspective on the galaxy population in the local universe. A catalogue of 4315 HI-selected galaxies has been extracted from the southern region of the survey (δ < +2°). This catalogue gives a clear view of the local large-scale structure and is used to study the two-point correlation function, the Tully-Fisher relation, and galaxy luminosity and mass functions. Some initial results are discussed here.

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Matsuoka, Daisuke, and Fumiaki Araki. "Survey on Scientific Data Visualization for Large-scale Simulations." JAMSTEC Report of Research and Development 13 (2011): 35–63. http://dx.doi.org/10.5918/jamstecr.13.35.

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Razzak, Humera, and Christian Heumann. "HYBRID MULTIPLE IMPUTATION IN A LARGE SCALE COMPLEX SURVEY." Statistics in Transition New Series 20, no. 4 (2019): 33–58. http://dx.doi.org/10.21307/stattrans-2019-033.

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SWEDA, Tatsuo. "Large-scale Forest Biomass Survey using Airborne Laser Altimetry." TRENDS IN THE SCIENCES 15, no. 6 (2010): 71–81. http://dx.doi.org/10.5363/tits.15.6_71.

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Taylor, Andrew J., Khamsing Vongphayloth, Malavanh Vongsouvath, Marc Grandadam, Paul T. Brey, Paul N. Newton, Ian W. Sutherland, and Sabine Dittrich. "Large-Scale Survey for Tickborne Bacteria, Khammouan Province, Laos." Emerging Infectious Diseases 22, no. 9 (September 2016): 1635–39. http://dx.doi.org/10.3201/eid2209.151969.

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Ahuja, Ravindra K., Özlem Ergun, James B. Orlin, and Abraham P. Punnen. "A survey of very large-scale neighborhood search techniques." Discrete Applied Mathematics 123, no. 1-3 (November 2002): 75–102. http://dx.doi.org/10.1016/s0166-218x(01)00338-9.

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Sudhakaran, Saniya, and Meera Treesa. "A Survey on Data Deduplication in Large Scale Data." International Journal of Computer Applications 165, no. 1 (May 17, 2017): 1–4. http://dx.doi.org/10.5120/ijca2017913696.

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32

Geller, Margaret J., John P. Huchra, and Valérie de Lapparent. "Large-Scale Structure: The Center for Astrophysics Redshift Survey." Symposium - International Astronomical Union 124 (1987): 301–13. http://dx.doi.org/10.1017/s0074180900159248.

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Two slices of the Center for Astrophysics (CfA) redshift survey extension are now complete. The survey indicates that galaxies are distributed on the thin surfaces of “bubble-like” structures. The voids in the survey have diameters as large as 5,000 km s−1. These structures challenge theories for the formation of large-scale structure in the universe and suggest new approaches to several problems in the field.

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Thibon, F., L. Weppe, N. Vigier, C. Churlaud, T. Lacoue-Labarthe, M. Metian, Y. Cherel, and P. Bustamante. "Large-scale survey of lithium concentrations in marine organisms." Science of The Total Environment 751 (January 2021): 141453. http://dx.doi.org/10.1016/j.scitotenv.2020.141453.

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34

Frieman, Joshua A. "The Sloan Digital Sky Survey and large-scale structure." Physics Reports 307, no. 1-4 (December 1998): 61–66. http://dx.doi.org/10.1016/s0370-1573(98)00051-9.

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35

SUN, WENZHI, NING LI, and SHIGANG HE. "Large-scale morophological survey of rat retinal ganglion cells." Visual Neuroscience 19, no. 4 (July 2002): 483–93. http://dx.doi.org/10.1017/s0952523802194107.

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Ganglion cells in an isolated wholemount preparation of the rat retina were labeled using the “DiOlistic” labeling method (Gan et al., 2000) and were classified according to their morphological properties. Tungsten particles coated with a lipophilic dye (DiI) were propelled into the wholemount retina using a gene gun. When a dye-coated particle contacted the cell membrane, the entire cell was labeled. The ganglion cells were classified into four types based on their soma size, dendritic-field size, branching pattern, and level of stratification. Broadly monostratified cells were classified into three types: RGA cells (large soma, large dendritic field); RGB cells (small- to medium-sized soma, small- to medium-sized dendritic field); and RGC cells (small- to medium-sized soma, medium-to-large dendritic field). Bistratified cells were classified as RGD. Several subtypes were identified within each ganglion cell group. A number of new subtypes were discovered and added into the existing catalog, among them were two types of bistratified cells. This study therefore represents the most complete morphological classification of rat retinal ganglion cells available to date.

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36

Cunningham, M., N. Lo, C. Kramer, I. Bains, P. Jones, M. Burton, E. Muller, and V. Ossenkopf. "Large Scale Structure and Turbulence: The Mopra G333 Survey." EAS Publications Series 31 (2008): 9–14. http://dx.doi.org/10.1051/eas:0831003.

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DeLuca, Christopher, Adelina Valiquette, Andrew Coombs, Danielle LaPointe-McEwan, and Ulemu Luhanga. "Teachers’ approaches to classroom assessment: a large-scale survey." Assessment in Education: Principles, Policy & Practice 25, no. 4 (October 31, 2016): 355–75. http://dx.doi.org/10.1080/0969594x.2016.1244514.

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Park, Changbom, J. R. ,. III Gott, and L. N. da Costa. "Large-scale structure in the Southern Sky Redshift Survey." Astrophysical Journal 392 (June 1992): L51. http://dx.doi.org/10.1086/186423.

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Hu, Jinshuo, and Hongbin Gu. "Survey on Flight Control Technology for Large-Scale Helicopter." International Journal of Aerospace Engineering 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/5309403.

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A literature review of flight control technology is presented for large-scale helicopter. Challenges of large-scale helicopter flight control system (FCS) design are illustrated. Following this, various flight control methodologies are described with respect to their engineering implementation and theoretical developments, whose advantages and disadvantages are also analyzed. Then, the challenging research issues on flight control technology are identified, and future directions are highlighted.

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Kerscher, M., K. Mecke, J. Schmalzing, C. Beisbart, T. Buchert, and H. Wagner. "Morphological fluctuations of large-scale structure: The PSCz survey." Astronomy & Astrophysics 373, no. 1 (July 2001): 1–11. http://dx.doi.org/10.1051/0004-6361:20010604.

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Ezzati-Jivan, Naser, and Michel R. Dagenais. "Multi-scale navigation of large trace data: A survey." Concurrency and Computation: Practice and Experience 29, no. 10 (March 21, 2017): e4068. http://dx.doi.org/10.1002/cpe.4068.

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Tsokas, G. N., A. Sarris, M. Pappa, M. Bessios, C. B. Papazachos, P. Tsourlos, and A. Giannopoulos. "A large-scale magnetic survey in Makrygialos (Pieria), Greece." Archaeological Prospection 4, no. 3 (September 1997): 123–37. http://dx.doi.org/10.1002/(sici)1099-0763(199709)4:3<123::aid-arp76>3.0.co;2-9.

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Sun, Wenzhi, Ning Li, and Shigang He. "Large-scale morphological survey of mouse retinal ganglion cells." Journal of Comparative Neurology 451, no. 2 (August 14, 2002): 115–26. http://dx.doi.org/10.1002/cne.10323.

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Shen, Lijuan, Beatrice Cassottana, Hans Rudolf Heinimann, and Loon Ching Tang. "Large‐scale systems resilience: A survey and unifying framework." Quality and Reliability Engineering International 36, no. 4 (June 2020): 1386–401. http://dx.doi.org/10.1002/qre.2634.

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Oka, Tomoharu, Tetsuo Hasegawa, Fumio Sato, Masato Tsuboi, and Atsushi Miyazaki. "A Large‐Scale CO Survey of the Galactic Center." Astrophysical Journal Supplement Series 118, no. 2 (October 1998): 455–515. http://dx.doi.org/10.1086/313138.

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HOUTKOOP-STEENSTRA, HANNEKE, and HUUB van den BERGH. "Effects of Introductions in Large-Scale Telephone Survey Interviews." Sociological Methods & Research 28, no. 3 (February 2000): 281–300. http://dx.doi.org/10.1177/0049124100028003002.

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47

Okpala, Don CI. "State of national land survey and large-scale mapping." Land Use Policy 13, no. 4 (October 1996): 317–23. http://dx.doi.org/10.1016/0264-8377(96)84560-1.

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Mahdavi, Sedigheh, Mohammad Ebrahim Shiri, and Shahryar Rahnamayan. "Metaheuristics in large-scale global continues optimization: A survey." Information Sciences 295 (February 2015): 407–28. http://dx.doi.org/10.1016/j.ins.2014.10.042.

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Newby, Paul R. T., and Donald W. Proctor. "Revision of large-scale maps at the Ordnance Survey." ISPRS Journal of Photogrammetry and Remote Sensing 45, no. 3 (July 1990): 137–51. http://dx.doi.org/10.1016/0924-2716(90)90054-f.

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Aagaard, Kevin, James E. Lyons, and Wayne E. Thogmartin. "Accounting for Surveyor Effort in Large-Scale Monitoring Programs." Journal of Fish and Wildlife Management 9, no. 2 (August 14, 2018): 459–66. http://dx.doi.org/10.3996/022018-jfwm-012.

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AbstractAccounting for errors in wildlife surveys is necessary for reliable status assessments and quantification of uncertainty in estimates of population size. We apply a hierarchical log-linear Poisson regression model that accounts for multiple sources of variability in count data collected for the Integrated Waterbird Management and Monitoring Program during 2010–2014. In some large-scale monitoring programs (e.g., Christmas Bird Count) there are diminishing returns in numbers counted as survey effort increases; therefore, we also explore the need to account for variable survey duration as a proxy for effort. In general, we found a high degree of concordance between counts and effort-adjusted estimates of relative abundance from the Integrated Waterbird Management and Monitoring Program (x̄difference = 0.02%; 0.25% SD). We suggest that the model-based adjustments were small because there is only a weak asymptotic relationship with effort and count. Whereas effort adjustments are reasonable and effective when applied to count data from plots of standardized area, such adjustments may not be necessary when the area of sample units is not standardized and surveyor effort increases with number of birds present. That is, large units require more effort only when there are many birds present. The general framework we implemented to evaluate effects of varying survey effort applies to a wide variety of wildlife monitoring efforts.

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Journal articles on the topic 'Large-scale survey'

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