This RPI proxy variation shows that there is extremely high at ~ 19.2 ka and relatively low values appear to persist over the periods before and after ~ 19.2 ka.
The large positive error noticed during the 270th and 290th days in Fig. 10, is absolutely not related to the solar proxy variation; however, may be related to the geomagnetic activity index for some of these days.
Positive errors, which are related to the solar proxy variation represented by ΔSSN, are noticed on the 35th day of the 0030 LT comparison in Fig. 9, and on the 195th day of the 1230 LT comparison in Fig. 11.
The negative errors, which are related to the solar proxy variation, do not clearly appear in the study period but those related to geomagnetic activity can be seen on the 132nd, 140th, 147th, and 170th days of the 0630 LT comparison in Fig. 10.
In both of these examples, residential in-fill causes significant heterogeneity of socioeconomic status and, by proxy, variation in health outcomes typical of the developing world (11).
Since the amplitude of short-term solar-proxy variations are induced by solar rotation, one solar rotation is equal to 27 days, and the long-term variations follow the 11-year solar activity period (Maruyama, 2010), we choose the 27-day mean SSN as one of the input parameters for the second neural network (NN2) to represent the solar activity.
This suggests a high overall functional role of CNVs in variation of gene expression and, by proxy, trait variation.
Indeed, temperature variation has been used as a proxy for variation in the influx of hypoxic waters over the shelf in the northern Benguela (Monteiro et al., 2008; Rouault, 2012).
We use data on variation in home television viewing as a proxy for variation in time spent in the home and, by extension, contact.
Taking word usage as a proxy for variation in language [14, 15], we hypothesise that this variation should closely match the community structure of the network.
