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To capture the attributes of the educational system better, the educational inputs data were lagged by 20 years to capture the time when immigrants were in school.
Upon completion of data inputs, data were then exported to the SAS software for statistical analysis (SAS Institute Inc., USA, version 9.3).
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The other input data were taken from the AmeriFlux database.
Input data were dependent on a combination of random factors.
Input data were analyzed by principal component method.
Input data were randomized to two sets: learning and testing.
RP input data were extracted from governmental databases.
The large differences in remotely sensed input data were buffered inside the hydrological models.
Economic input data were adjusted where appropriate to be consistent with the CRT-D setting.
censored input data were given, in the MDR value not being determined.
Input data were taken from the Department of Soft Tissue/Bone Sarcoma and Melanoma, Warsaw Memorial Cancer Center and Institute of Oncology, as dermoscopic images.
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