A butterfly’s chemical key to various ant forts: intersection-odour or aggregate-odour multi-host mimicry?

Deception is a crucial yet incompletely understood strategy of social parasites. In central Europe, the Mountain Alcon Blue, Maculinea rebeli, a highly endangered butterfly, parasitises several Myrmica ant species. Caterpillars gain access to host nests probably by faking the ants odour. We analysed gas chromatography–mass spectrometry data of body surface hydrocarbons of pre-adoption and hibernated larvae of Maculinea rebeli and of their host species Myrmica sabuleti and M. schencki. Data were ordinated by different methods, based on similarities in the relative quantities of compounds between chromatograms. The two Myrmica species exhibit species-specific profiles. The Maculinea rebeli pre-adoption larva has a complex profile that simultaneously contains species-specific substances of the two investigated host species. This evidence leads to the interpretation that, in central Europe, Maculinea rebeli is predisposed for multi-host use by the chemical signature of its pre-adoption larva. The Maculinea rebeli larva clearly does not rely on an intersection-odour of compounds common to all host ant species, but synthesises an aggregate-odour containing specific compounds of each of the investigated hosts. We term this previously unknown chemical strategy aggregate-odour multi-host mimicry.B.C. Schlick-Steiner and F.M. Steiner contributed equally to this work.     

Powerful data analysis routine helps locate buried bombs

Heavy bombing during World War II in Europe, particularly in Germany, left thousands of unexploded bombs buried underground and underwater. The bombs can be detected with magnetic sensors, but sorting through the huge amounts of data generated in area searches has proven to be by far the most difficult part of the task. Recently, a data analysis program has been developed that is capable of correlating global positioning system (GPS) data to magnetic sensor readings to identify likely bomb site candidates in a remarkably short period of time. A key to the success of this application is the use of packaged data-analysis software, Origin, from Microcal Software, Inc. (Northampton, Massachusetts), which is capable of interfacing to external C and C++ pattern curve-fitting routines that operate at the required high rates of speed.     

The measurement of corporate environmental performance and its application to the analysis of efficiency in oil industry

This paper addresses a measurement of corporate environmental performance, and its application to the analysis of efficiency in the petroleum firms. In order to measure firms' environmental performance, we suggest a framework called “Gscore” that consists of five categories, namely general environmental management (GEM), input, process, output, and outcome. Gscore is a proxy measure of corporate environmental performance based on voluntary environment, health, and safety (EHS) report and is calculated by aggregating the points of the above five-categories. We apply our measurement framework to the data of 39 firms' voluntary EHS reports which are available on the internet. Ten of them, on which efficiency analysis was conducted with Gscore, assets, employee, and profits, are in petroleum and refining industry. According to our results: (1) a gap is found between rhetoric and practical environmental management stemming from calculating the relation between GEM and data part in 39 EHS reports. (2) On the whole, EHS reports of petroleum firms have something in common, but there are significant differences in the type and amounts of disclosed data among the EHS reports. (3) From the results of efficiency analysis, it is found that the number of employee exerts a considerable influence on determining the relative efficiency of petroleum firms, then Gscore, profits, and assets in sequence. Furthermore, Exxon, Ashland, Phillips Petroleum, and ARCO are shown to be efficient among 10 petroleum firms.     

Influence of CO<Subscript>2</Subscript> on the micro-structural properties of spider dragline silk: X-ray microdiffraction results

The mechanical properties of spider dragline fibres are altered by CO₂ exposure under anaesthetizing conditions during the spinning process. In order to relate these macroscopic changes to a microscopic model, the extrusion of dragline silk was studied by synchrotron radiation microdiffraction. A brief exposure of a female Nephila senigalensis spider to CO₂ results after an incubation time of less than 7 min in the extrusion of a thread (two fibres) swollen with water. The data are interpreted for a model of crystalline -sheet domains containing nanofibrils, which reinforce a network of protein chains. The protein network absorbs water, leaving the nanofibrils unaffected. A continuous flow of CO₂ results in a co-extrusion of a dragline thread and an isotropic silk fraction, which probably has a glycine-rich sequence. Long CO₂ exposure reduces the axial alignment of nanofibrils, presumably due to a partial destruction of the amorphous network.