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The recalibrated (DC component removed) data were saved for post processing and 3D visualization purposes.
While the calves were in the processing chute the accelerometers were removed, data were downloaded and accelerometers were re-initialized, and re-attached to the calves.
Notably, the removed data were considered to be compliant with anonymization requirements mandated by the US Health Insurance Portability and Accountability Act, and re-identification occurred despite this.
After patients with BMIs lower than 25 kg/m were removed, data were analysed for 91 413 patients, with mean age 56 years, including 55 094 (60%) overweight and 36 319 (40%) or obese, including 4099 (5%) with morbid obesity.
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At the receiver, the CP removed data is converted back to the "frequency domain" by performing an N point DFT and is passed to the symbol Detection-Decoding block.
An example of removed data can be seen in Figure 7.
After blink removal, drifts due to changes in head and/or eye position were removed, and data were smoothed using a Gaussian filter.
Continuum removed spectral data were transformed by Principal Component Analysis (PCA), and Fuzzy K-means algorithm and taxonomic distance were applied to cluster soil samples and profiles, respectively.
They were weighed and loggers were removed and data were downloaded to a computer.
Bad spots were removed, and data were print-tip lowess normalized.
Flagged spots as well as control spots were systematically removed, and data were log2 transformed.
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