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The simulation program for the paper: Robust control of desalination plants using sliding mode control synthesis with observer
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This is a data set of 4,335,880 public posts published in Instagram, in the New York City area for 190 days.
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The study was conducted in 2018 on the factors determining child mortality at the community level in Nigeria were this kind of data is rarely available. The data collection was done by employing multi-stage cross-sectional survey technique conducted at the Local Government Area (LGA), Primary Health Care (PHC) facilities, and at he individual levels.The unit of analysis is pregnant women attending ante-natal care who had given birth to at least a child three years before the time of the study. The total sample was 1350 pregnant women collected at 20 Primary Health Care facilities in Ifo Local Government Area of Ogun State Nigeria. Key data collected included socio-demographic characteristics, environmental factors, child mortality, immunization, breastfeeding practices, preventable diseases, accessibility to health facilities among others.
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More than 200 gravity reading points along two profiles at location 1 and 2 were carried out perpendicular to the main traces of the fault in west-east profiles. The detail needed with separation between stations was 5 m. The 2D ERT data were collected along two profiles. The dipole-dipole array configuration was used with electrode spacing 3 and 5 m and the length is 141 and 235 m respectively. The 3D ERT data were collected along two profiles. The pole-pole array configuration was used with electrode and line spacing at 5 m respectively. The survey area was 115X15 m.
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In Supplementary data, M(H) curves, measured at 2 K, 100 K, 230 K and 300 K in magnetic field perpendicular to the microwire axis, approximated angular depend-ences of the magnetic moment in different applied fields, series of the hysteresis loops recorded by Kerr microscope scanning along microwire length at 300 K, temperature dependence of the anisotropy field, magnetic susceptibility, M(H) loops at T = 2 K after cooling at different fields in a range from +10 kOe to -10 kOe. The series of biased M(H) loops corresponding to different temperatures are placed. OPJ files for Origin 7.0 and higher versions are titled correspondently to theit meanings.
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The dataset is related to linear rock cutting experiments on concrete samples that consisted of different concrete mixtures. It is a supplement to scoping study using a procedural evaluation routine to analyse cutting Force Component Ratios (FCR) that could be used for the identification of changing mechanical rock properties during mechanical excavation. It focuses on the use of FCR in conjunction with point attack picks. The cutting depth and the spacing-to-depth ratio were varied at three levels each. 6, 8 and 12 mm for cutting depth (Coded as DZ in Dataset), the spacing ration at levels of 2, 3 and 4. In the dataset, the resulting spacing is stored as DY. Two artificial rock samples were tested. The samples were composed of two respective three different zones of concrete. The first block’s zones had a nominal cubic Uniaxial Compressive Strength (UCS) of 85 MPa (Zone 3) and 45 MPa (Zone 2). The zones of the second block were 85 (Zone 3), 45 (Zone 2) and 25 MPa (Zone 1). For each combination of cutting parameters, a whole layer of a specimen was cut in such a way that each cut groove crossed the different zones. In total, 414 single cuts were conducted to achieve reliable results. A procedural evaluation process was developed to assess the potential of Force Compononent Ratios for material differenciation based on statistical descriptors. The descriptors used where: arithmetic mean, geometric mean, median, interquartile range, 0.95-quantile, variance coefficient. A classification algorithm implemented in R was utilized to classify all combinations of statistical descriptors and Force Component Ratio. In total 72, combinations of Force Component Ratio and statistical descriptor were classified, 9 combinations were classified as suitable, 10 as partially suitable and the rest as unsuitable. The results imply that an FCR material differenciation based an raw cutting force measurements could be a tool for material diferenciation during mechanical excavation
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The present study The evidence reported above supports the notion that social support both directly affects the relapse tendency of women experiencing heroin addiction, but also may have an indirect impact through the active coping strategies. In addition, the role of social support may also be moderated by openness to experience. Further, previous studies of heroin addiction found that the age of addict and their parents' level of education level were significantly correlated with their rates of heroin abuse (Aggarwal et al., 2015; Kolodny et al., 2015). Therefore, it is necessary to control for these factors in the present study. Based on the above analysis, this study proposes the hypotheses listed here and summarized in the model in Fig. 1. (1) Active coping strategies would mediate the relationship between social support and the relapse tendency. (2) Openness to experience would moderate the relationships between social support and active coping strategies, and between social support and the relapse tendency. (3) Openness to experience would moderate the mediating effect of active coping strategies in the relationship between social support and the relapse tendency. Statistical analyses Descriptive analyses and Pearson’s correlations were used by SPSS 22.0 for all variables. To test the moderated mediation model, we have adopted Stride's advice, and constructs are measured by latent variables as opposed to observed variables (Stride, Gardner, Catley, & Thomas, 2015). The analysis process of the entire model corresponds to the SPSS macro PROCESS (http://www.afhayes.com) suggested by Hayes (2018) but applying Mplus 7.4. The mediating (indirect) effect with 5000 bootstrap samples. In order to better reveal the relationship between latent variables, we used the item parceling strategy (Hall, Snell, & Foust, 1999; Little, Cunningham, Shahar, & Widaman, 2002). The critical value of the statistical test includes p value under the standard 0.05 level, and 95% bias-correction bootstrap confidence interval.
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This data set contains all data used to build the urban ecosystem service model for predicting the the PM2.5 removal service in Beijing under three policy scenarios by 2035. It has two parts: (1) python script of the entire model and associated data including attribute data of sociaoeconomic status and TIFF files of land use change restirctions; (2) testing data and simulation results including TIFF files of LAI, land use distribution, PM2.5 concentration, wind speed.
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Habenula QSM data upload test
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This data set comprise the data generated during elaboration of the manuscript entitled "Design of a Micro-Machined Flow Sensor for Aircraft Air Data Systems Application: Mechanical Considerations". These data are COMSOL and ANSYS files.
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