Figure S1: Plot of the t-statistic versus the log standard-error for RMA expression values of the Golden-Spike data normalized using different methods. All normalization were performed after summarization of probe intensities. The FC1-based normalizations are ideal, and in real nonspike-in studies are not possible. LVS-normalization is closest to the FC1-based normalization. The others show neg...

Limiting factors for the precise orbit determination POD of low-earth orbit LEO satellite using dual-frequency GPS are nowadays mainly encountered with the in-flight phase error modeling. The phase error is modeled as a systematic and a random component each depending on the direction of GPS signal reception. The systematic part and standard deviation of random part in phase error model are, re...

in this study artificial neural network (ann) was used for modeling of wastewater treatment plants with using. for this purpose, the base of the quality parameters measured at the plant input, plant output value was predicted. neural network input data, including temperature (t), biochemical oxygen demand (bod), chemical oxygen demand (cod), total suspended solids (tss), total solids (ts) and p...

drought monitoring is a fundamental component of drought risk management. it is normally performed using various drought indices that are effectively continuous functions of rainfall and other hydrometeorological variables. in many instances, drought indices are used for monitoring purposes. geostatistical methods allow the interpolation of spatially referenced data and the prediction of values...