Federalism and university governance in Canada

There is increasing interest in how universities are governed, externally and internally (Austin and Jones 2016). Drawing on a comparative case study of the governance of six major Canadian universities and the literature, this article describes the impact of federal research and innovation policy and programs on universities and reflects on Ottawa's role. We suggest that the federal government participates in the external governance of universities, but in a way that differs significantly from provincial governments. Canadian federalism appears to be generally beneficial for university autonomy and examination of its operation sheds light on factors that enable universities to sustain their autonomy.     

Ethics revisited in a society in transition: the case of the former East Germany

Since 1990, the German government has been demanding from the civil servants of the former East Germany a new adaptability and creativity that was never promoted in the GDR bureaucracy. The article analyses the change of ethics in the former East Germany after 1990. It looks at the development of the German civil service, discusses the economic disparity between East and West, and examines the ethical tradition in the former socialist country. It uses the case of the selection in 2001 of the city of Leipzig by BMW as the location of a new manufacturing plant as an illustration of the new goal‐oriented activities of the present Eastern bureaucracy. More than 250 European cities were competing for the new plant, which will create over 10,000 jobs. The level of performance of the Leipzig bureaucracy in the BMW case reveals the new efficiency and professionalism of the former Eastern civil service. In addition to Leipzig, virtually all the local and state administrations from the former East Germany have developed a sense of the necessities of the time, including globalization. Copyright © 2002 John Wiley & Sons, Ltd.     

Laissez-faire follies

He is a lecturer at the University of Dayton in Dayton, Ohio. His research centers on domestic political and economic influences on congressional decisions to terminate weapons production.     

The detection and enhancement of latent fingermarks using infrared chemical imaging

The use of a new technique, Fourier transform infrared (FTIR) chemical imaging, has been demonstrated for the enhancement of latent fingermarks on a number of surfaces. Images of untreated fingermarks on glass backgrounds with excellent ridge detail were acquired using infrared chemical imaging. High quality fingermarks on glass backgrounds were also developed using ethyl cyanoacrylate (super glue) fuming and subsequent infrared chemical imaging. This new method allows the collection of images from backgrounds that traditionally pose problems for current fingermark detection methods. The background may, for example, be highly colored, have a complex pattern, or possess other pattern or image characteristics that make it difficult to separate fingermark ridges using traditional optical or luminescent visualization. One background that has proven to be a challenging surface for the development of latent fingermarks is the Australian polymer banknote. To demonstrate the power and applicability of infrared chemical imaging, fingermarks fumed with ethyl cyanoacrylate were successfully imaged from Australian polymer banknotes.     

Evaluation of Raman spectroscopy for the analysis of colored fibers: a collaborative study

A collaborative study on Raman spectroscopy was carried out by members of the ENFSI (European Network of Forensic Science Institutes) European Fibres Group (EFG) on three dyed fibers: two red acrylics and one red wool. Raman instruments from six different manufacturers were tested as well as nine different laser wavelengths ranging from blue (lambda = 458 nm) to near infrared-NIR (lambda = 1064 nm). This represents the largest comparison study of Raman analytical parameters carried out on identical fiber samples. For the chosen fiber and dye samples, red lasers (lambda = 633 and 685 nm) gave the poorest spectral quality whereas blue (458 nm), green (514 nm) and near infrared lasers (785, 830 and 1064 nm) provided average results. Blue (488 nm) and green lasers (532 nm) globally gave the best quality spectra. Fluorescence problems were often encountered with some of the excitation wavelengths and therefore a flexible Raman instrument equipped with different lasers can be recommended to measure forensic fiber samples. The instrument should also be equipped with a Raman microscope in order to be able to focus on a single fiber. This study shows that Raman spectroscopy usually enables the identification of the main dye present in a colored fiber; however, minor dye components are much more difficult to detect. SERRS (Surface Enhanced Resonance Raman Scattering) techniques give an improvement of the dye's spectral intensity but no spectral improvement was observed for the two red acrylic and red wool fibers tested.     

Classification of premium and regular gasoline by gas chromatography/mass spectrometry,principal component analysis and artificial neural networks

Detection and correct classification of gasoline is important for both arson and fuel spill investigation. Principal component analysis (PCA) was used to classify premium and regular gasolines from gas chromatography-mass spectrometry (GC-MS) spectral data obtained from gasoline sold in Canada over one calendar year. Depending upon the dataset used for training and tests, around 80-93% of the samples were correctly classified as either premium or regular gasoline using the Mahalanobis distances calculated from the principal components scores. Only 48-62% of the samples were correctly classified when the premium and regular gasoline samples were divided further into their winter/summer sub-groups. Artificial neural networks (ANNs) were trained to recognise premium and regular gasolines from the same GC-MS data. The best-performing ANN correctly identified all samples as either a premium or regular grade. Approximately 97% of the premium and regular samples were correctly classified according to their winter or summer sub-group.