A Novel Approach for Evaluation of Food Functions and Safety Applied in RR GM Soybeans

[Objective] This study aimed to evaluate tbe healthy risk of genetically modified （ GM ） soybeans by using a novel approach for functions and safety of food. [ Me^od] Different from traditional evaluation of substantial equivalence, three great innovations were performed in this study, involving in basic diet, evalu- ation approaches and principle, as well as the clarification of connotation differences between absolute and relative mass of organs. Hence a novel BDI-GS （Bendib Damage Index and General Score） evaluation approach was established and applied in comparative evaluation between RR GM and natural soybeans. Healthy male ICR mice during linear growth were selected; experimental mice were fed with 15% RR GM soybeans and 15% natural soybeans blending maize meal diets, and control mice were fed with single maize meal diet for 13 d; the mice were dissected after collecting blood samples and perfectly obtained nine organs or tissues to re- cord their masses and conduct statistical analyses. [Result] Plenty of matching information was obtained through simple design. The growth performance of treated mice was markedly of individual differences, some mice were thwarted due to regular intake of RR soybeans. Meanwhile, the functions and safety of RR soybeans were markedly lowered in overall nutritional and healthy effects than those of natural soybeans expressed in GS values, and presents some declines in nutrition and health of thymus, pancreas and spermary; especially, it can make thymus immune （P 〈0.05） in markedly lower level than that of natural soybeans. [ Conclusion] Therefore, major troubles and risks of RR soybeans intake are of personal risks in different degrees, in addition, it may increase sub-health and related chronic epi- demics risks, and herein it will presents certain safety issues. The creation of this novel evaluation system provides a simple and available evaluation approach for functions and potential risks revelation of food effects, and will yield far-reaching influences to safety evaluation and healthy development of GM foods, as well as public health.

Safety Performance Functions for Traffic Signals:Phasing and Geometry

A significant proportion of urban crashes,especially serious and fatal crashes,occur at traffic signals.Many of the black-spots in both Australia and New Zealand cities occur at high volume and/or high-speed traffic signals.Given this,crash reduction studies often focus on the major signalised intersections.However,there is limited information that links the phasing configuration,degree of saturation and overall cycle time to crashes.While a number of analysis tools are available for assessing the efficiency of intersections,there are very few tools that can assist engineers in assessing the safety effects of intersection upgrades and new intersections.Safety performance functions have been developed to help quantify the safety impact of various traffic signal phasing configurations and level of intersection congestion at low and high-speed traffic signals in New Zealand and Australia.Data from 238 signalised intersection sites in Auckland,Wellington,Christchurch,Hamilton,Dunedin and Melbourne was used to develop crash prediction models for key crash-causing movements at traffic signals.Different variables(road features)effect each crash type.The models indicate that the safety of intersections can be improved by longer cycle times and longer lost inter-green times,especially all-red time,using fully protected right turns and by extending the length of right turn bays.The exception is at intersections with lots of pedestrians where shorter cycle times are preferred as pedestrian crashes increase with longer wait times.A number of factors have a negative impact on safety including,free left turns,more approach lanes,intersection arms operating near or over capacity in peak periods and higher speed limits.