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1

Navratil, Gerhard. "Adjustment computations: spatial data analysis." International Journal of Geographical Information Science 25, no. 2 (2011): 326–27. http://dx.doi.org/10.1080/13658816.2010.501335.

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2

Aslam, Jamal. "BER Performance of Versatile Spatial Adjustment." International Innovative Research Journal of Engineering and Technology 4, no. 4 (2019): EC—10—EC—14. http://dx.doi.org/10.32595/iirjet.org/v4i4.2019.90.

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3

Phibbs, Peter. "The Spatial Implications of Rural Adjustment." Urban Policy and Research 6, no. 1 (1988): 43–44. http://dx.doi.org/10.1080/08111148808551325.

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4

Overeem, Aart, Iwan Holleman, and Adri Buishand. "Derivation of a 10-Year Radar-Based Climatology of Rainfall." Journal of Applied Meteorology and Climatology 48, no. 7 (2009): 1448–63. http://dx.doi.org/10.1175/2009jamc1954.1.

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Abstract Weather radars give quantitative precipitation estimates over large areas with high spatial and temporal resolutions not achieved by conventional rain gauge networks. Therefore, the derivation and analysis of a radar-based precipitation “climatology” are highly relevant. For that purpose, radar reflectivity data were obtained from two C-band Doppler weather radars covering the land surface of the Netherlands (≈3.55 × 104 km2). From these reflectivities, 10 yr of radar rainfall depths were constructed for durations D of 1, 2, 4, 8, 12, and 24 h with a spatial resolution of 2.4 km and a data availability of approximately 80%. Different methods are compared for adjusting the bias in the radar precipitation depths. Using a dense manual gauge network, a vertical profile of reflectivity (VPR) and a spatial adjustment are applied separately to 24-h (0800–0800 UTC) unadjusted radar-based precipitation depths. Further, an automatic rain gauge network is employed to perform a mean-field bias adjustment to unadjusted 1-h rainfall depths. A new adjustment method is developed (referred to as MFBS) that combines the hourly mean-field bias adjustment and the daily spatial adjustment methods. The record of VPR gradients, obtained from the VPR adjustment, reveals a seasonal cycle that can be related to the type of precipitation. A verification with automatic (D ≤ 24 h) and manual (D = 24 h) rain gauge networks demonstrates that the adjustments remove the systematic underestimation of precipitation by radar. The MFBS adjustment gives the best verification results and reduces the residual (radar minus rain gauge depth) standard deviation considerably. The adjusted radar dataset is used to obtain exceedance probabilities, maximum rainfall depths, mean annual rainfall frequencies, and spatial correlations. Such a radar rainfall climatology is potentially valuable for the improvement of rainfall parameterization in weather and climate models and the design of hydraulic structures.
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5

Keller, Joshua P., and Adam A. Szpiro. "Selecting a scale for spatial confounding adjustment." Journal of the Royal Statistical Society: Series A (Statistics in Society) 183, no. 3 (2020): 1121–43. http://dx.doi.org/10.1111/rssa.12556.

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6

Stephens, Emma C., Edward Mabaya, Stephan von Cramon-Taubadel, and Christopher B. Barrett. "Spatial Price Adjustment with and without Trade*." Oxford Bulletin of Economics and Statistics 74, no. 3 (2011): 453–69. http://dx.doi.org/10.1111/j.1468-0084.2011.00651.x.

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7

Herdener, Nathan, Christopher D. Wickens, Benjamin A. Clegg, and C. A. P. Smith. "Spatial Anchoring and Adjustment Under Mental Workload." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 349. http://dx.doi.org/10.1177/1541931213601567.

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8

Yang, Guang, Yan Han, Hao Gong, and Tiantian Zhang. "Spatial-Temporal Response Patterns of Tourist Flow under Real-Time Tourist Flow Diversion Scheme." Sustainability 12, no. 8 (2020): 3478. http://dx.doi.org/10.3390/su12083478.

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This paper excavates tourist decision-making mechanism under the real-time tourist flow diversion scheme (RTFDS) and evaluates the tourist flow diversion effect of RTFDS. To meet the objectives, the stated preference survey and tourist flow survey of the Summer Palace were implemented. The tourist behavior adjustment model and tourist flow diversion simulation model were established. The results show that: (a) For core tourist spots, 66.5% and 16.5% of tourists will choose “behavior adjustment” and “no longer adjustment” under RTFDS, these behavior adjustments all shorten tourists’ residence time in tourist spots; (b) When the tourist congestion perception degree equals 4 or 5, tourists tend to adopt behavior adjustment or the individuals adopt no longer adjustment instead of cognitive adjustment when they face low tourist congestion perception degree, which equals 1 or 2; (c) When core tourist spots’ residence time is reduced by 10% and 20%, there are 60% and 73% time nodes where core tourist spots’ tourist flow density is less than or equal to the condition of null information, there are 73% and 60% time nodes where periphery tourist spots’ density is more than the condition of null information. The simulation results showed that some tourists could be guided from core tourist spots to periphery tourist spots through releasing RTFDS information. The research can provide theoretical support for the implementation of RTFDS, and alleviate the congestion inside the tourist attraction.
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9

Brorsen, B. Wade, Jean-Paul Chavas, and Warren R. Grant. "Market Structure and Spatial Price Dynamics." Journal of Agricultural and Applied Economics 23, no. 2 (1991): 65–74. http://dx.doi.org/10.1017/s0081305200018185.

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AbstractA method was developed with time series models to test hypotheses about the relationship between market structure and spatial price dynamics. Long-run dynamic multipliers measuring the magnitude of lagged adjustment for spatial milled rice prices were calculated from the time series model and used as the dependent variable in a regression model that included a number of factors expected to influence price determination. Results show that price adjustments were slower as regional submarket concentration increased and were faster in the regions with a higher market share. Arkansas, the state with the largest market share, was consistently a price leader.
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10

Herdener, Nathan, Benjamin A. Clegg, Christopher D. Wickens, and C. A. P. Smith. "Anchoring and Adjustment in Uncertain Spatial Trajectory Prediction." Human Factors: The Journal of the Human Factors and Ergonomics Society 61, no. 2 (2018): 255–72. http://dx.doi.org/10.1177/0018720818800591.

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Objective: The aim of this study was to explore the impact of prior information on spatial prediction and understanding of variability. Background: In uncertain spatial prediction tasks, such as hurricane forecasting or planning search-and-rescue operations, decision makers must consider the most likely case and the distribution of possible outcomes. Base performance on these tasks is varied (and in the case of understanding the distribution, often poor). Humans must update mental models and predictions with new information, sometimes under cognitive workload. Method: In a spatial-trajectory prediction task, participants were anchored on accurate or inaccurate information, or not anchored, regarding the future behavior of an object (both average behavior and the variability). Subsequently, they predicted an object’s future location and estimated its likelihood at multiple locations. In a second experiment, participants repeated the process under varying levels of external cognitive workload. Results: Anchoring influenced understanding of most likely predicted location, with fairly rapid adjustment following inaccurate anchors. Increasing workload resulted in decreased overall performance and an impact on the adjustment component of the task. Overconfidence was present in all conditions. Conclusion: Prior information exerted short-term influence on spatial predictions. Cognitive load impaired users’ ability to effectively adjust to new information. Accurate graphical anchors did not improve user understanding of variability. Application: Prior briefings or forecasts about spatiotemporal trajectories affect decisions even in the face of initial contradictory information. To best support spatial prediction tasks, efforts also need to be made to separate extraneous load-causing tasks from the process of integrating new information. Implications are discussed.
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11

Parr, John B. "Spatial Cost Curves and Adjustment of the Firm." Regional Studies 27, no. 6 (1993): 513–26. http://dx.doi.org/10.1080/00343409312331347735.

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12

Combes, Pierre Philippe, Gilles Duranton, and Henry G. Overman. "Agglomeration and the adjustment of the spatial economys." Papers in Regional Science 84, no. 3 (2005): 311–49. http://dx.doi.org/10.1111/j.1435-5957.2005.00038.x.

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13

ANYINAM, CHARLES. "SPATIAL IMPLICATIONS OF STRUCTURAL ADJUSTMENT PROGRAMMES IN GHANA." Tijdschrift voor Economische en Sociale Geografie 85, no. 5 (1994): 446–60. http://dx.doi.org/10.1111/j.1467-9663.1994.tb00703.x.

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14

Zhao, Qiangqiang, Junkang Guo, Dewen Yu, Feifei Chen, Jun Hong, and Zhigang Liu. "Link adjustment for spatial multi-loop deployable structures considering redundant constraints based on multi-objective discrete optimization." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 14 (2019): 5003–18. http://dx.doi.org/10.1177/0954406219839081.

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Because of the existence of link errors, assembly deviations, and redundant constraints, link adjustments for deployable structures must be implemented during the assembly process to ensure accurate performance and deployable reliability. Thus, this study proposes an optimization method to conduct quantitative link adjustments for spatial multi-loop deployable structures considering redundant constraints. First, the equations of the deformation compatibility are derived based on static analysis. Second, by formulating the objective functions of surface accuracy and strain energy, a multiobjective discrete optimization model of link adjustment, subjected to the equations of the deformation compatibility and adjustable scopes of the support links, is established accordingly. Third, the optimization model is solved using the successive Taguchi approach, which uses the grey relational analysis coupled with principal component analysis as the multicriteria decision-making model, leading to the optimal adjustment for each link. Finally, a numerical example is presented to verify the validity of the proposed method.
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15

Wei, Zhao, Chang Ming, Liu Hu, et al. "Spatial rotation multi-axis parallelism adjustment and calibration technology." Journal of Applied Optics 39, no. 5 (2018): 29–34. http://dx.doi.org/10.5768/jao201839.0501006.

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16

Kamiyama, M., and T. Higuchi. "Adjustment of nonuniform sampling locations in spatial data sets." IEEE Signal Processing Magazine 23, no. 3 (2004): 47–56. http://dx.doi.org/10.1109/msp.2004.1296542.

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17

Herdener, Nathan, Christopher D. Wickens, Benjamin A. Clegg, and C. A. P. Smith. "Anchoring and Adjustment With Spatial Uncertainty in Trajectory Prediction." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (2016): 1605–9. http://dx.doi.org/10.1177/1541931213601370.

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Anchoring and adjustment is a prevalent heuristic, common in a range of settings and decisions. While it is well studied using values, there has been limited research on its function in visual-spatial domains. The present study explored the role of anchoring and adjustment with visual displays containing uncertainty information related to spatial prediction. Participants were given a graphical briefing to anchor them on accurate, inaccurate, or no information regarding the future behavior of an object (both its average behavior and the variance in behavior). They then made predictions of future object location and estimated its likelihood at multiple locations. Overall individuals utilized the anchoring information and were able to adjust to incorrect anchors. However, individuals vastly overestimated the likelihood the object would be at any given location, suggesting that they were not anchored on the variance.
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18

Pugh, Cedric. "International Structural Adjustment and its Sectoral and Spatial Impacts." Urban Studies 32, no. 2 (1995): 261–85. http://dx.doi.org/10.1080/00420989550013077.

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19

Jack, William. "Optimal risk adjustment with adverse selection and spatial competition." Journal of Health Economics 25, no. 5 (2006): 908–26. http://dx.doi.org/10.1016/j.jhealeco.2006.01.005.

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20

Thomas, Kedron. "Structural Adjustment, Spatial Imaginaries, and “Piracy” in Guatemala's Apparel Industry." Anthropology of Work Review 30, no. 1 (2009): 1–10. http://dx.doi.org/10.1111/j.1548-1417.2009.01008.x.

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21

Fujimoto, Kanon, and Hiroshi Ashida. "Postural adjustment as a function of the spatial frame tilt." Journal of Vision 21, no. 9 (2021): 2079. http://dx.doi.org/10.1167/jov.21.9.2079.

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22

Sasaki, Ayana, Hiroshi Shibai, Taro Matsuo, et al. "Optical Adjustment of the FITE Interferometer." Journal of Astronomical Instrumentation 09, no. 01 (2020): 2050002. http://dx.doi.org/10.1142/s2251171720500026.

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We have developed a balloon-borne far-infrared interferometer, the Far-infrared Interferometric Telescope Experiment (FITE). The final goal of spatial resolution was one arcsec at 100[Formula: see text][Formula: see text]m. As a first step, we aimed to achieve a spatial resolution of five arcsecs at 155[Formula: see text][Formula: see text]m with a 6-m baseline. FITE is a two-beam interferometer like Michelson’s stellar interferometer. Positions and attitudes of all mirrors required to have their alignment checked and possibly adjusted before launch and were checked during observation. We had to satisfy three requirements: the coincidence of the phases of each beam (wavefront error), image quality of the two beams at the (common) focus, and no optical path difference between the two beams for celestial objects. In order to achieve the former two requirements, we developed an interferometer adjustment system that used a newly-developed interferometer measurement instrument. This instrument adopted a Shack–Hartmann wavefront sensor to measure wavefront errors of the two off-axis parabolic mirrors, simultaneously. With this system, the adjustment of the FITE interferometer was carried out at the Alice Springs balloon base in Australia as the JAXA’s Australia balloon experiment campaign of 2018. On-site adjustment was successful; wavefront errors of the two off-axis parabolic mirrors were 1.78[Formula: see text][Formula: see text]m and 4.99[Formula: see text][Formula: see text]m (peak-to-valley), and the Hartmann constant was 13 arcsecs. As for the optical path difference, we achieved the requirement by step-wise displacement of a folding plane mirror. Results satisfied the requirements for an interferometer designed for a wavelength of 155[Formula: see text][Formula: see text]m. Improvement of spatial resolution at far-infrared wavelengths is undoubtedly important for research on protoplanetary disks, circumstellar dust shells of late-type stars, and star-forming galaxies. The method we have developed is also useful for future space interferometers.
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23

Vollmann, J., H. Buerstmayr, and P. Ruckenbauer. "Efficient Control of Spatial Variation in Yield Trials Using Neighbour Plot Residuals." Experimental Agriculture 32, no. 2 (1996): 185–97. http://dx.doi.org/10.1017/s0014479700026090.

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SUMMARYThe effect of spatial variation on experimental error variance and the significance of differences between genetic entries was evaluated in five performance trials. A significant portion of spatial variation could be detected in all the experiments investigated and various neighbour plot residuals were applied to adjust for local field trends. Neighbour plot adjustment was clearly more efficient than the randomized complete block design in reducing error variance and in detecting significant differences between entries. It was also more efficient than lattice designs in trial fields exhibiting short distance trends, which could not be covered efficiently by incomplete blocks. In most experiments with long and narrow plots, longitudinal adjustment using two neighbours at each side of a test plot was superior to adjustment by only one ‘nearest’ neighbour.
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24

Ivey, C. E., H. A. Holmes, Y. T. Hu, J. A. Mulholland, and A. G. Russell. "Development of PM<sub>2.5</sub> source impact spatial fields using a hybrid source apportionment air quality model." Geoscientific Model Development Discussions 8, no. 1 (2015): 645–71. http://dx.doi.org/10.5194/gmdd-8-645-2015.

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Abstract. An integral part of air quality management is knowledge of the impact of pollutant sources on ambient concentrations of particulate matter (PM). There is also a growing desire to directly use source impact estimates in health studies; however, source impacts cannot be directly measured. Several limitations are inherent in most source apportionment methods, which has led to the development of a novel hybrid approach that is used to estimate source impacts by combining the capabilities of receptor modeling (RM) and chemical transport modeling (CTM). The hybrid CTM-RM method calculates adjustment factors to refine the CTM-estimated impact of sources at monitoring sites using pollutant species observations and the results of CTM sensitivity analyses, though it does not directly generate spatial source impact fields. The CTM used here is the Community Multi-Scale Air Quality (CMAQ) model, and the RM approach is based on the Chemical Mass Balance model. This work presents a method that utilizes kriging to spatially interpolate source-specific impact adjustment factors to generate revised CTM source impact fields from the CTM-RM method results, and is applied to January 2004 over the continental United States. The kriging step is evaluated using data withholding and by comparing results to data from alternative networks. Directly applied and spatially interpolated hybrid adjustment factors at withheld monitors had a correlation coefficient of 0.89, a linear regression slope of 0.83 ± 0.02, and an intercept of 0.14 ± 0.02. Refined source contributions reflect current knowledge of PM emissions (e.g., significant differences in biomass burning impact fields). Concentrations of 19 species and total PM2.5 mass were reconstructed for withheld monitors using directly applied and spatially interpolated hybrid adjustment factors. The mean concentrations of total PM2.5 for withheld monitors were 11.7 (± 8.3), 16.3 (± 11), 8.59 (± 4.7), and 9.20 (± 5.7) μg m−3 for the observations, CTM, directly applied hybrid, and spatially interpolated hybrid predictions, respectively. Results demonstrate that the hybrid method along with a spatial extension can be used for large-scale, spatially resolved source apportionment studies where observational data are spatially and temporally limited. Data withholding also provides an estimate of method uncertainty. Species concentrations were reconstructed using spatial hybrid results, and the error relative to observed concentrations was greatly reduced as compared to CTM-simulated concentrations.
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25

Magnussen, Steen. "A method to adjust simultaneously for spatial microsite and competition effects." Canadian Journal of Forest Research 24, no. 5 (1994): 985–95. http://dx.doi.org/10.1139/x94-129.

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A patchy microsite mosaic gives rise to positive spatial correlations among first-order neighbors in field trials. Competition for a resource in short supply tends to enhance size differences among first-order neighbors. Simulation studies demonstrated that positive spatial autocorrelations will seriously inflate family variance components and, thus, the individual narrow sense heritability in sib trials with multiunit plots in randomized complete block designs. Moderate levels of competition between first-order neighbors had the effect of lowering this inflation. Results from simulated single-tree plot designs were never biased. In the absence of strong competition, this design type is clearly preferable. An effective method for adjusting results obtained from multiunit plot designs is presented. Adjusted values of family variances and heritabilities were within 6% of the true values in two of three simulations. Adjustments are based on an iterative nearest neighbor (NN) regression on family values and a NN adjustment of ANOVA residuals. An application of the NN adjustments to height and diameter data in a jack pine (Pinusbanksiana Lamb.) sib test lowered heritabilities of height to the expected level and indicated similar levels of genetic control of the two traits.
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26

Huang, P. S., C. S. Chiang, C. P. Chang, and T. M. Tu. "Robust spatial watermarking technique for colour images via direct saturation adjustment." IEE Proceedings - Vision, Image, and Signal Processing 152, no. 5 (2005): 561. http://dx.doi.org/10.1049/ip-vis:20041081.

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27

Migliaccio, Giovanni C., Michele Guindani, Maria D’Incognito, and Linlin Zhang. "Empirical Assessment of Spatial Prediction Methods for Location Cost-Adjustment Factors." Journal of Construction Engineering and Management 139, no. 7 (2013): 858–69. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000654.

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28

Gibbins, Roger, and Marcus Spiller. "The Spatial Implications of Rural Adjustment: What is the Policy Agenda?" Urban Policy and Research 6, no. 1 (1988): 41–42. http://dx.doi.org/10.1080/08111148808551323.

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29

Fromhold-Eisebith, Martina. "Sectoral Resilience: Conceptualizing Industry-Specific Spatial Patterns of Interactive Crisis Adjustment." European Planning Studies 23, no. 9 (2015): 1675–94. http://dx.doi.org/10.1080/09654313.2015.1047329.

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30

Mate-Sanchez, Mariluz, Fernando A. López Hernández, and Jesus Mur Lacambra. "Analyzing long-term average adjustment of financial ratios with spatial interactions." Economic Modelling 29, no. 4 (2012): 1370–76. http://dx.doi.org/10.1016/j.econmod.2012.03.001.

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31

Hu, Weipeng, Lingjun Yu, and Zichen Deng. "Minimum Control Energy of Spatial Beam with Assumed Attitude Adjustment Target." Acta Mechanica Solida Sinica 33, no. 1 (2019): 51–60. http://dx.doi.org/10.1007/s10338-019-00132-4.

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32

Kuriki, Satoshi, Kunihiko Takahashi, and Hisayuki Hara. "Multiplicity adjustment for temporal and spatial scan statistics using Markov property." Japanese Journal of Statistics and Data Science 1, no. 1 (2018): 191–213. http://dx.doi.org/10.1007/s42081-018-0007-5.

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33

Neeley, E. Shannon, Keith A. Baggerly, and Steven M. Kornblau. "Surface Adjustment of Reverse Phase Protein Arrays using Positive Control Spots." Cancer Informatics 11 (January 2012): CIN.S9055. http://dx.doi.org/10.4137/cin.s9055.

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Reverse phase protein arrays (RPPA) measure the relative expression levels of a protein in many samples simultaneously. Observed signal from these arrays is a combination of true signal, additive background, and multiplicative spatial effects. Background subtraction alone is not sufficient to remove all nonbiological trends from the data. We developed a surface adjustment that uses information from positive control spots to correct for spatial trends on the array beyond additive background. This method uses a generalized additive model to estimate a smoothed surface from positive controls. When positive controls are printed in a dilution series, a nested surface adjustment performs an intensity-based correction. When applicable, surface adjustment is able to remove spatial trends and increase within slide replicate agreement better than background subtraction alone as demonstrated on two sets of arrays. This work demonstrates the importance of including positive control spots on the array.
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34

Amit, Vered, and Caroline Knowles. "Improvising and Navigating Mobilities: Tacking in Everyday Life." Theory, Culture & Society 34, no. 7-8 (2017): 165–79. http://dx.doi.org/10.1177/0263276417724876.

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This article aims to deepen and extend theoretical understanding of mobility by exploring some of the mechanisms by which it operates. It introduces the concept and practices of ‘tacking’ as a frame for examining the creative processes of navigation and improvisation through which people approach and reflect on the irregularities and uncertainties of their everyday rounds, enacted or otherwise narrated as spatial biography – lives conceived in mobile-spatial terms. ‘Tacking’ also travels beyond this frame of reference, i.e. it is ‘good to think with’ across different substantive contexts of social interaction. Tacking suggests ongoing adjustment and modification that respond to shifting circumstances and may create new facts on the ground, which elicit further adjustments.
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Schroeder, Ted C. "Fed Cattle Spatial Transactions Price Relationships." Journal of Agricultural and Applied Economics 29, no. 2 (1997): 347–62. http://dx.doi.org/10.1017/s1074070800007847.

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AbstractDelineation of geographic markets for fed cattle is essential in monitoring price behavior and determining geographic markets. This study uses transactions data from 28 U.S. fed cattle slaughter plants to determine the extent of the geographic market for fed cattle. Results indicate a national market for fed cattle with prices across most plants cointegrated. In addition, price discovery originates predominantly at plants located in Nebraska, and typically one-third of the total price adjustment to spatial integration occurs in one day.
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Yu, Bo, and Lu Feng Yang. "Efficient Elastic Modulus Adjustment Procedure for Limit Analysis of Spatial Frame Structure." Advanced Materials Research 446-449 (January 2012): 126–31. http://dx.doi.org/10.4028/www.scientific.net/amr.446-449.126.

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An efficient elastic modulus adjustment procedure to evaluate lower-bound ultimate bearing capacity of spatial frame structures was proposed based on the strain energy equilibrium principle. Four strategies to determine the elastic modulus adjustment factor were developed based on the fixed strain method (FSM), circular arc method (CAM), strain energy conservation law (SECL) and strain energy equilibrium principle (SEEP). The precisions and convergent properties of above four strategies were quantitatively investigated through two numerical examples. The results show that the efficiency and accuracy of the SEEP are of most acceptable.
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Zhong, Zhicheng, Wenqi Gong, Hao Jiang, Honggang Gu, Xiuguo Chen, and Shiyuan Liu. "Investigation of Spatial Chirp Induced by Misalignments in a Parallel Grating Pair Pulse Stretcher." Applied Sciences 10, no. 5 (2020): 1584. http://dx.doi.org/10.3390/app10051584.

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Spatial chirp induced by the misaligned gratings and mirrors in a parallel grating pair pulse stretcher can significantly affect the performance of the output pulses. Firstly, a detailed analysis about the spatial chirp of the stretched pulses caused by the misalignments has been carried out using the ray tracing simulation method. According to the simulation results, an adjustment procedure has been summarized to accurately calibrate these misalignments. The proposed method has been successfully applied in a home-made chirped pulse stretcher. By measuring the output pulse with an imaging spectrometer, the results show the stretched pulse has a good linear temporal chirp and little spatial chirp, which demonstrates the good adjustment of the stretcher.
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Cheng, Zhonghua, and Xiai Shi. "Can Industrial Structural Adjustment Improve the Total-Factor Carbon Emission Performance in China?" International Journal of Environmental Research and Public Health 15, no. 10 (2018): 2291. http://dx.doi.org/10.3390/ijerph15102291.

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How to improve the industrial total-factor carbon emission performance (TCPI), or total-factor carbon productivity, through industrial structural adjustment, is crucial to China’s energy conservation and emission reduction and sustainable growth. In this paper, we use a dynamic spatial panel model to empirically analyze the effect of industrial structural adjustment on TCPI of 30 provinces in China from 2000 to 2015. The results show that most of the provinces with high TCPI are located in the eastern coastal areas, while the provinces with relatively low TCPI are to be found in the central and western regions. The spatial auto-correlation tests show that there are significant global spatial auto-correlation and local spatial agglomeration characteristics in TCPI. The regression results of the dynamic spatial panel models show that at the national level, the structure of industrialization, the industrial structure of heavy industrialization, the coal-based energy consumption structure and the endowment structure have significant negative effects on the improvement of TCPI. The expansion of industrial enterprise scale, on the other hand, is conducive to an improvement in TCPI while the effects of foreign direct investment (FDI) structure and ownership structure on TCPI are not significant. At the regional level, there are certain differences in the effects of different types of industrial structural adjustment on TCPI.
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Mülmenstädt, Johannes, Edward Gryspeerdt, Marc Salzmann, Po-Lun Ma, Sudhakar Dipu, and Johannes Quaas. "Separating radiative forcing by aerosol–cloud interactions and rapid cloud adjustments in the ECHAM–HAMMOZ aerosol–climate model using the method of partial radiative perturbations." Atmospheric Chemistry and Physics 19, no. 24 (2019): 15415–29. http://dx.doi.org/10.5194/acp-19-15415-2019.

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Abstract. Using the method of offline radiative transfer modeling within the partial radiative perturbation (PRP) approach, the effective radiative forcing by aerosol–cloud interactions (ERFaci) in the ECHAM–HAMMOZ aerosol climate model is decomposed into a radiative forcing by anthropogenic cloud droplet number change and adjustments of the liquid water path and cloud fraction. The simulated radiative forcing by anthropogenic cloud droplet number change and liquid water path adjustment are of approximately equal magnitude at −0.52 and −0.53 W m−2, respectively, while the cloud-fraction adjustment is somewhat weaker at −0.31 W m−2 (constituting 38 %, 39 %, and 23 % of the total ERFaci, respectively); geographically, all three ERFaci components in the simulation peak over China, the subtropical eastern ocean boundaries, the northern Atlantic and Pacific oceans, Europe, and eastern North America (in order of prominence). Spatial correlations indicate that the temporal-mean liquid water path adjustment is proportional to the temporal-mean radiative forcing, while the relationship between cloud-fraction adjustment and radiative forcing is less direct. While the estimate of warm-cloud ERFaci is relatively insensitive to the treatment of ice and mixed-phase cloud overlying warm cloud, there are indications that more restrictive treatments of ice in the column result in a low bias in the estimated magnitude of the liquid water path adjustment and a high bias in the estimated magnitude of the droplet number forcing. Since the present work is the first PRP decomposition of the aerosol effective radiative forcing into radiative forcing and rapid cloud adjustments, idealized experiments are conducted to provide evidence that the PRP results are accurate. The experiments show that using low-frequency (daily or monthly) time-averaged model output of the cloud property fields underestimates the ERF, but 3-hourly mean output is sufficiently frequent.
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40

Yusubov, N. D., and H. M. Abbasova. "Models for Machining Accuracy in Multi-Tool Adjustment." International Journal of Automotive and Mechanical Engineering 17, no. 3 (2020): 8067–85. http://dx.doi.org/10.15282/ijame.17.3.2020.01.0605.

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The article discusses the technology capabilities of multi-purpose CNC machines, and possible options for implementing parallel multi-tool processing. It was revealed that the technological capabilities of these machines are used at best by 50% in factories. This is due to the lack of recommendations for the design and use of such adjustments for these machines. To this end, generalised lattice matrix models of the accuracy of multi-tool machining have been developed in order to fulfill the requirements of algorithmic uniformity models and their structural transparency. The use of lattice matrices greatly simplifies the error in model of multi-tool machining and makes it extremely visual. Also, full-factorial distortion models and scattering fields of the dimensions of multi-tool machining performed on modern multi-purpose CNC lathe machines have been developed to take into account the angular displacements of the workpiece when machining parts with prevailing overall dimensions. They take into account the flexibility of the technological system for all six degrees of freedom to identify the influence degree of complex of technological factors on the machining accuracy (structure of multi-tool adjustment, deformation properties of subsystems of a technological system, cutting conditions). A methodology has been developed for determining the complex characteristics of compliance of a technological system. On the basis of the developed accuracy models in spatial adjustments, it is possible to develop recommendations for the design of adjustments for modern multi-purpose machines in CNC turning group (creation of CAD of multi-tool machining). Thus, it is possible to achieve a number of ways to control multi-tool machining, including improving the structure of multi-tool adjustment, calculating the limiting cutting conditions.
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Doligez, Blandine, Anne Berthouly, Damien Doligez, et al. "SPATIAL SCALE OF LOCAL BREEDING HABITAT QUALITY AND ADJUSTMENT OF BREEDING DECISIONS." Ecology 89, no. 5 (2008): 1436–44. http://dx.doi.org/10.1890/07-0113.1.

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Yu, Bo, and Lu Feng Yang. "Efficient Elastic Modulus Adjustment Procedure for Limit Analysis of Spatial Frame Structure." Advanced Materials Research 446-449 (January 2012): 126–31. http://dx.doi.org/10.4028/scientific5/amr.446-449.126.

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43

Stopková, Eva. "Spatial information recovery in the desert using LMS-based geodetic network adjustment." Survey Review 51, no. 367 (2018): 334–44. http://dx.doi.org/10.1080/00396265.2018.1459360.

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Gangnon, Ronald E. "Local Multiplicity Adjustment for the Spatial Scan Statistic Using the Gumbel Distribution." Biometrics 68, no. 1 (2011): 174–82. http://dx.doi.org/10.1111/j.1541-0420.2011.01643.x.

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Holden, Mark P., Kim M. Curby, Nora S. Newcombe, and Thomas F. Shipley. "A category adjustment approach to memory for spatial location in natural scenes." Journal of Experimental Psychology: Learning, Memory, and Cognition 36, no. 3 (2010): 590–604. http://dx.doi.org/10.1037/a0019293.

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Jiangping Zhu, Song Hu, Xianyu Su, and Zhisheng You. "Adjustment Strategy for Inclination Moiré Fringes in Lithography by Spatial Frequency Decomposition." IEEE Photonics Technology Letters 27, no. 4 (2015): 395–98. http://dx.doi.org/10.1109/lpt.2014.2370072.

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CHAMBERS, STEVEN M. "Spatial Structure, Genetic Variation, and the Neighborhood Adjustment to Effective Population Size." Conservation Biology 9, no. 5 (1995): 1312–15. http://dx.doi.org/10.1046/j.1523-1739.1995.9051307.x-i1.

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CHAMBERS, STEVEN M. "Spatial Structure, Genetic Variation, and the Neighborhood Adjustment to Effective Population Size." Conservation Biology 9, no. 5 (1995): 1312–15. http://dx.doi.org/10.1046/j.1523-1739.1995.9051312.x.

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49

Jung, Inkyung. "A generalized linear models approach to spatial scan statistics for covariate adjustment." Statistics in Medicine 28, no. 7 (2009): 1131–43. http://dx.doi.org/10.1002/sim.3535.

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50

Amikuzuno, Joseph. "Spatial price transmission analysis in Ghanaian agricultural markets: Does the data frequency improve our estimation?" Journal of Economic and Financial Sciences 4, no. 2 (2011): 301–16. http://dx.doi.org/10.4102/jef.v4i2.322.

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Unavailability of high frequency weekly or daily data compels most studies of price transmission in developing countries to use low frequency monthly data for their analyses. Analysing price dynamics, especially in agricultural markets, with monthly data may however yield imprecise price adjustment parameters and lead to wrong inferences on price dynamics. This is because agricultural markets in developing countries usually operate daily or weekly, not monthly, as implied by the market analysts who use low frequency data. This paper investigates the relevance of data frequency in price transmission analysis by using a standard and a threshold vector error correction model to estimate and compare price adjustment parameters for high frequency semi-weekly data and low frequency monthly data obtained from five major fresh tomato markets in Ghana. The results reveal that adjustment parameters estimated from the low frequency data are higher in all cases than those estimated from the high frequency data. There is reason to suspect that using low frequency data, as confirmed in some literature, leads to an overestimation of the price adjustment parameters. More research involving a large number of observations is however needed to enhance our knowledge about the usefulness of high frequency data in price transmission analysis.
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