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Department of

Biosciences

A wide range of advanced biological research activities are performed in the Department of Biosciences: from curiosity-driven “basic science” disciplines to investigations into the molecular basis of life. The scientific interests of the Department are directed towards understanding the organization and evolution of biodiversity, from the structure and function of biomolecules, to the cellular, ..

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Seminar Giorgia PALLAFACCHINA 13 December 2019

Neuroscience Institute, CNR and Dept. of Biomedical Sciences, University of Padova - “New players in the game of myogenesis: CK2 subunits as regulators of muscle-specific gene expression and cell fusion”

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Seminar Paolo TROST 13 December 2019

Dipartimento di Farmacia e Biotecnologie, Università degli Studi di Bologna - “Structural insights into the 'complex' regulation of the Calvin Benson cycle”

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Seminar Steffen VANNESTE 13 December 2019

VIB-UGent Center for Plant Systems Biology - “Extracellular calcium controls plasma membrane electrostatics and endocytosis via TIR1/AFB-CNGC14 sensitive pathway”

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Harris & Benedict.. the original sin

Prediction (regression) equations are widely used, but their reliability as predictive tools is questionable as they provide contradicting results. The key point is that values calculated by regression equations are not precisely defined numbers but lie within a range of possible values in the standard deviation interval, none of which can be considered as the most probable. Ignoring this point leads to illicit/improper calculations, generating wrong results, which may have adverse consequences for human health. To demonstrate this, we applied the equations of Harris and Benedict in a reverse method, i.e. calculating (predicting) the daily energy expenditure in the same subjects used to obtain the equations and comparing values with the original measured data. We used the Bland-Altman and frequency distribution analyses. We found large differences in both individual data and population characteristics, showing that prediction equations are not predictive tools.

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