Titlebook: Kurzkommentar zum ABGB; Allgemeines bürgerli Helmut Koziol,Peter Bydlinski,Raimund Bollenberger Book 2005Latest edition Springer-Verlag Vie

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Ursula King of same-sex desire. Scholars have devoted much time to the nineteenth century, which witnessed the rise of sexological investigations into homosexuality and the appearance of some of the earliest opponents of the sodomy laws. The nineteenth century also allows for a consideration of the fascinating

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,Conclusions: From the?Study of the?Age of Onset to the?Development of Age-Specific Interventions inentive strategies (Kessler et al. 2007). The compilation of chapters in this book provides a blueprint to guide such strategies through the comprehensive examination of AOO for the most relevant mental disorders. Despite the limitations of the evidence-base reviewed (e.g. various definition of AOO),

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Damages for Violations of Human Rights Law in the United Kingdom,ights Act 1998 (HRA). The HRA has been designed to replicate at the national level the treatment a claimant would receive before the European Court of Human Rights (ECtHR). Courts contemplating an award of damages under the HRA must therefore consider the principles set out in the HRA itself, includ

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ook is a comprehensive and easy-to-understand guide for using the Oracle Data Provider (ODP) version 11.g. on the .NET Framework. It also outlines the core GoF (Gang of Four) design patterns and coding techniques employed to build and deploy high-impact mission-critical applications using advanced O

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Alternative Approaches to Educational Evaluation and Improvement Through Collaboration,akeholders are involved in the quality process and could be more involved in the democratic design of the curriculum and in the running of colleges. The chapter also describes the value of progressive leadership approaches and, consequently, how the culture of colleges can be changed to provide a more effective and better experience for all.

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https://doi.org/10.1007/978-3-662-11724-8 the sampling strategy into the construction of the Random Forest classifier. This balanced random forest classifier can effectively reduce the bias induced by the imbalanced nature of data while also ensuring better generalizability. Our proposed approach provides a more balanced predictive perform