In a brief intermezzo, we derive the basic relations concerning spatial diversity gains that are achievable with linear receivers in case of correlated signals.
Reassuringly, in the discovery sample, social support (operationalized as the self‐reported number of individuals a person can rely on in case of emergency) correlated substantially with the PAUSS (Spearman rank correlation for N = 639: r s = −0.313, P = 5 × 10−16, Fig 4F), underlining the relevance of this phenotype for autism.
Both showed that the ability of subjects to decide whether a given fragment was a part of a familiar object (such as a car, a face or some other object, in case of Harel et al [25]) correlated with the MI of the fragment.
In case of discrepancies, the results were correlated with findings on FDG-PET, bone marrow biopsy or follow-up studies.
We found that these parameters were not correlated in case of FMD (R Spearman = −0,13, P = 0,42) and NMD (R Spearman = −0,025, P = 0,87).
Moreover, in practice, the case of correlated data symbols arises due to various signal processing operations at the baseband in the transmitter.
However in case of plant, microsatellite frequency is negatively correlated with genome size [ 21].
In case of complex enzymatic mixtures, as it is the case in our study, correlating yields of products to levels of enzymatic activities is not an easy task.
Quantitative endotracheal aspirates in cases of severe NHAP correlate well with quantitative bronchoscopic PSB and BAL in intubated nursing home patients who are suspected of having clinical pneumonia.
Rab23 and Rab32 show extensive patterns of loss, which in the case of Rab23 correlate well to loss of cilia or flagella, consistent with functional work on this protein [ 35].
