Parteistrategien auf Oligopolistischen Issue-Märkten. Eine Empirische Analyse der Wahlprogrammatik in Deutschland, Dänemark, Österreich und den Niederlanden mit Hilfe des Gutenberg-Modells

Based on saliency theory, the idea of issue ownership means that parties enjoy specific electoral support on certain issues. Narud/Valen (2001) have shown, moreover, that parties in multi-party systems must use the right issue-marketing to gain votes. This paper takes up the idea of issue marketing, making particular use of the microeconomic Gutenberg Model. I will sketch an issue market in which parties can win or lose votes by modifying their programmatic positions. If a party neglects its historically typical core issues, and does not successfully replace these with new core issues, the party will lose votes. I will test my hypotheses using the CMP data set to do a panel regression for Germany, Denmark, Austria, and the Netherlands. This confirms the hypothesized connection between programmatic and voter popularity, especially for social democratic parties.     

Short tandem repeat (STR) DNA markers are hypervariable and informative in Cannabis sativa: implications for forensic investigations

Short tandem repeat (STR) markers are the DNA marker of choice in forensic analysis of human DNA. Here we extend the application of STR markers to Cannabis sativa and demonstrate their potential for forensic investigations. Ninety-three individual cannabis plants, representing drug and fibre accessions of widespread origin were profiled with five STR makers. A total of 79 alleles were detected across the five loci. All but four individuals from a single drug-type accession had a unique multilocus genotype. An analysis of molecular variance (AMOVA) revealed significant genetic variation among accessions, with an average of 25% genetic differentiation. By contrast, only 6% genetic difference was detected between drug and fibre crop accessions and it was not possible to unequivocally assign plants as either drug or fibre type. However, our results suggest that drug strains may typically possess lower genetic diversity than fibre strains, which may ultimately provide a means of genetic delineation. Our findings demonstrate the promise of cannabis STR markers to provide information on: (1) agronomic type, (2) the geographical origin of drug seizures, and (3) evidence of conspiracy in production of clonally propagated drug crops.     

A study of how individuals solve complex and ill-structured problems

A number of factors cause individuals to use diverse strategies to solve problems. This paper presents a methodology for examining these differences in strategy. Verbal protocols are elicited to collect data on the cognitive processes occurring during problem solving. These data, codified into propositional representations, and non-parametric statistical comparisons are then used to evaluate the significance of strategy differences. These strategies are then mapped with dynamical graphs, with which we examine the task-independent and the task-specific cognitive representations the participants used. As an illustrative example we apply this methodology to study the influence of two contributing factors, professional training and national culture, on the strategies adopted by professionals to solve a complex and ill-structured problem (hunger in a country). The problem-solving strategies of professionals from different countries and trained in architecture, engineering, law or medicine are analyzed to show some intriguing differences in the general strategies adopted by individuals belonging to different professions, and the outcomes from using these strategies.     

Finding out rapidly: A soft systems approach to training needs analysis in Thailand

Thailand is experiencing the unfamiliar phenomenon of aid and multilateral agencies such as the World Bank and Asian Development Bank lending money for internal development programmes. In the economic boom years, aid was neither sought nor required since structural development was funded from the growth which South-East Asian countries had begun to take for granted. Today, falling growth and rising unemployment linked to a depreciating currency and weak export markets have meant that Thailand has had to look elsewhere for development capital and to become proficient in managing educational projects. This article describes a rapid training needs analysis of the Thai educational sector commissioned by the British Council, the purpose of which was to discover the capacity of the education sector to undertake and deliver externally funded projects. Using the Kolb learning cycle as a paradigm of good practice, and an adapted version of the soft systems approach to planning, the paper describes a learning process for developing an action plan to produce a training package for enhancing project management skills. Finally, the paper reflects on the experience of the project and sets out some learning objectives for future exercises of this type.     

Contextual meanings in policy discourse: A case study of language use concerning resource policy in the New Zealand high country

Variation in the meaning and use of the term landscape by different decision makers and decision influencers in the New Zealand high country is analysed in relation to the way they describe a resource policy issue. The case study is based upon documentary sources and oral accounts of the role that trees might play in high country land use. Links between language use and interest are identified and explored, and some consequential implications discussed.     

The Governance of Fiscal Policy in the United Kingdom and Canada

This article analyzes the governance of fiscal policy in the United Kingdom and Canada under the Blair Government and the Chrétien Government. It seeks to identify whether the capacity of the core executive to steer fiscal policy has been “hollowed out.” The conclusion drawn is that in both the United Kingdom and Canada, far from having been hollowed out, there has actually been a strengthening of the capacity of the Treasury and the Department of Finance, respectively, to steer fiscal policy.     

Identifying Fatal Head Injuries on Postmortem Computed Tomography Using Convolutional Neural Network/Deep Learning: A Feasibility Study

Postmortem computed tomography (PMCT) is a relatively recent advancement in forensic pathology practice that has been increasingly used as an ancillary investigation and screening tool. One area of clinical CT imaging that has garnered a lot of research interest recently is the area of “artificial intelligence” (AI), such as in screening and computer-assisted diagnostics. This feasibility study investigated the application of convolutional neural network, a form of deep learning AI, to PMCT head imaging in differentiating fatal head injury from controls. PMCT images of a transverse section of the head at the level of the frontal sinus from 25 cases of fatal head injury were combined with 25 nonhead-injury controls and divided into training and testing datasets. A convolutional neural network was constructed using Keras and was trained against the training data before being assessed against the testing dataset. The results of this study demonstrated an accuracy of between 70% and 92.5%, with difficulties in recognizing subarachnoid hemorrhage and in distinguishing congested vessels and prominent falx from head injury. These results are promising for potential applications as a screening tool or in computer-assisted diagnostics in the future.