Regression models of predicting the biological age – chronological age ratio

<p><b>Copyright information:</b></p><p>Taken from "The metal ion theory of ageing: dietary target hazard quotients beyond radicals"</p><p>http://www.immunityageing.com/content/5/1/3</p><p>Immunity & ageing : I & A 2008;5():3-3.</p><p>Published online 20 May 2008</p><p>PMCID:PMC2438307.</p><p></p

Trend lines in DIs for major detectors for all RASFF notifications.

<p>For clarity the DI indices have been multiplied by 1000.</p

Impact on countries by selected transgressors at edge-weight cut-off value of 0 and 5.

<p>Edge-weights are derived according to the exponentially decaying model. Countries are listed in alphabetical order, UI = unidentified origin (the Commission Services).</p

The cumulative number of food alerts and transgressor indices (TI) indices for the countries listed among the first 30 in their category.

<p>UI denotes unidentified origin. “Alerts” means the total number of food alerts issued against that country up to 1 July 2008, “TI (PageRank)” and “TI (HITS)” are the two variants of the transgressor index based on the exponentially decaying edge weight model on 1 July 2008.</p

Trend lines in TIs for major transgressors for all RASFF notifications.

<p>For clarity the TI indices have been multiplied by 1000.</p

Food notification categories by contamination type and key components used for the filter function (percentage in brackets shows the proportion of the categorized notifications).

<p>Food notification categories by contamination type and key components used for the filter function (percentage in brackets shows the proportion of the categorized notifications).</p

Distribution of the General Nutritional Knowledge Questionnaire score over the Eating Attitude Test (EAT-26) scores

<p><b>Copyright information:</b></p><p>Taken from "Assessment of nutritional knowledge in female athletes susceptible to the Female Athlete Triad syndrome"</p><p>http://www.occup-med.com/content/2/1/10</p><p>Journal of Occupational Medicine and Toxicology (London, England) 2007;2():10-10.</p><p>Published online 27 Sep 2007</p><p>PMCID:PMC2098772.</p><p></p> Horizontal line represents the 'at risk' cutoff point. Vertical lines separate individuals in the 'at risk', 'borderline' and 'not at risk' categories

DI and TI HITS values for major detector nations on January 01, 2008.

<p>*For clarity the DI and TI indices have been multiplied by 1000.</p

Change in the number of transgressor and detector countries over the six-year period.

<p>2008 is pictured on alerts recorded until 23/08/2008. Note: there is an overlap between the two categories.</p

Transgressor and detector indices over time and network representations for selected countries.

<p>(A) Transgressor indices of China, Turkey and Iran from Jan 2004 to Jul 2008, derived from exponentially decaying edge weights. Plotted values are averaged over a 7-day window to improve readability. (B) The state of the food alert network on 1 July 2008, focusing on China (CHN). Edges with weight less than 1 are not shown. Arrows point from reporting countries to countries being reported on. Countries reporting on China or countries China reported on (currently none) are placed on the inner circle; countries not reporting directly on China but being connected to direct reporters on China are placed on the outer circle. Shades of red denote countries with high transgressor index; shades of green denote countries with high detector index. Edge thickness scales with the logarithm of the corresponding edge weight. (C) Detector indices of Germany, Italy and the United Kingdom from Jan 2004 to Jul 2008, derived from exponentially decaying edge weights. Plotted values are averaged as above. (D) The state of the food alert network on 1 July 2008, focusing on Germany (DEU). Arrowheads, edge thicknesses, vertex colors and layout as above.</p