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Based on a first video conference: small and middle sized companies in Russia and Germany: A comparative view organized by University "Interregional Institute of Economics and Law", Saint Petersburg/Russia and the University of Applied Sciences – Faculty of Business, Fulda/Germany held on 20th May 2010. Both institutes decided to organize a follow-up conference on January 27th 2011. Again the focus was to compare both markets for international operating companies in reasons for going abroad. The following papers are the outcome of this conference and were presented on the one hand by Fulda master students and on the other hand by Master Students from Saint Petersburg. The overall focus was again a comparative work from a company point of view. Hereby the main research question was to present different case studies based on a heterogeneous group of German-based companies in terms of size and branches. Success and failure in international management activities are discussed on an empirical and statistical basis. Furthermore the students from both institutes learnt also some practical matters like for example how can a foreign company establish its legal presence in Russia?
Good governance and redistribution in health financing : Pro-poor effects and general challenges
(2017)
Good governance has increasingly attained priority in international cooperation and health-system performance. Governance refers to all steering activities by public entities to influence the behaviour and activities of stakeholders involved. In the health sector, governance refers to a wide range of functions related to guidance and rule-making carried out by governments or other public decision-makers. More specifically, governance in the health-financing system applies to two different aspects: in addition to the approaches, strategies and policies determining how financial flows are implemented, managed and supervised according to rules- or outcome-based indicators, health-financing governance encompasses the question of how far resource generation, pooling and allocation are organised in an equitable, fair and sustainable manner. Individual and collective financial sustainability, burden sharing and social coherence or solidarity are essential parts of health-financing governance and depend deeply on societal priorities and values. Fairness of financing, transparent risk pooling and accountable purchasing of health services are intrinsic elements of governance in health financing and critical for achieving universal health coverage. The government is ultimately responsible for implementing an appropriate framework for a transparent, accountable and reliable health-financing system, for ensuring that the intermediate institutions can perform their functions, for executing effective and powerful supervision, and for providing civil society with the means to demand transparency and good financial governance.
Health-financing indicators show the system’s ability to effectively mobilise and allocate resources, implement social protection and pooling schemes, and distribute the financial burden of care equitably. Essentially two groups of indicators exist for assessing governance in the health financing system: rules-based approaches consider the existence of appropriate policies, strategies, and codified approaches for governance; outcome-based indicators measure whether rules and procedures are effectively implemented or enforced and health-financing targets achieved.
This article looks critically at the explanation provided by the so‐called ‘normalisation’
literature for Germany’s apparent reluctance and closefisted approach to the Eurozone crisis.
In contrast to the ‘normalisation’ argument which attributes the handling of the crisis to a more self‐interested and assertive stance in Germany’s European policy, this paper emphasizes the role of economic ideas as an explanatory factor. Based on the economic school of ordoliberalism in Germany, the crisis is perceived of as a debt and institutional crisis rather than a financial crisis, as suggested by ‘normalisation’ proponents. Consequently, a profound long‐term solution is thought to require policies of debt reduction and supply‐side reform as well as amendments to Eurozone institutions. In addition, unconditional financial bail‐outs are deemed inadequate to fight the source of the crisis. While the ‘normalisation’ literature stresses change in Germany’s approach to European integration relative to the early 1990s, the view outlined here suggests that there is a significant degree of continuity with the founding period of the European Economic and Monetary Union. Both then and now, Germany is primarily concerned with sound money, fiscal discipline and the institutional set‐up of the Eurozone, all based on principles derived from ordoliberal economic thinking.
The two Bretton Woods Sisters – International Monetary Fund (IMF) and World Bank – have been key actors in the international political economy since their inception in 1944. While the IMF was established to support national economies during rather short-term, macroeconomic crises, the World Bank has had a more long-term focus on development and economic growth. In pursuit of their goals, both institutions’ instrumental repertoire includes the provision of information, surveillance, technical assistance and training, policy advice, and – arguably most importantly – lending to those countries that have limited or no access to private capital markets. In this paper, I critically analyse the Bretton Woods sisters’ institutional set-up, their objectives and instruments. Further, various criticisms and challenges of the multilateral system are discussed, including the economic policy conditions imposed on borrowing countries, the Western-dominated governance structure and the under-representation of major emerging economies such as China and India.
The aim of this project is to prepare a nutrition guidebook for early childhood active stakeholders that are applicable across Europe and Turkey. The developed nutrition guidebook is the result of two-year collaboration between academics from different professions (nutritionists, home economists, paediatricians, education scientists, health psychologists) across five countries.
This guideline is a result of the project CHANCE, funded by the EU-programme GRUNDTVIG / “Lifelong Learning Programme” conducted from December 2007 to November 2009.
The project focuses on the approach of “CommunityBuilding“, which is beyond counselling and education campaigns designed for the social and environmental circumstances and aims to initiate the build-up of networks and local communities.
The manual is based on the interdisciplinary view of health (holistic according to the WHO), community and social environment (promotion of personal and structural potential).
After the introduction with regard to the subject matter, the manual presents 13 fundamental guidelines and illustrates project examples from the participating countries.
This article guides you through the development of a successful moderated and collaborative e-learning course on the basis of an e-learning pattern template. The created patterns are a blueprint of the learning activity which could be implemented by using different web-based communication tools. The “e-learning pattern template” takes the special context of online-courses (compared to face-to-face teaching) into account, with a development focus on the participants’ motivation.
Currently, process control in automation technology is mostly regulated by fixed process parameters as a compromise between several identically constructed systems or by plant operators, who are often guided by intuition based on decades of experience. Some operators are not able to pass on their knowledge to the next generation due to societal developments, e.g. academization or increased desire for self-actualization. In contrast, the vision of Smart Factories includes intelligent machining processes that should ultimately lead to self-optimization and adaptation to uncontrollable variables. To consistently implement this vision of self-optimizing machines, a defined quality criterion must be automatically monitored and act as a feedback for continual, autonomous and safe optimization. The term safe refers to the compliance with process quality standards, which must always be maintained. In a very conservative branch such as automation technology, no risks whatsoever are allowed through random experiments for data generation in production operations, since, for example, an unscheduled downtime leads to serious financial losses. Furthermore, machine-driven decisions may at no time pose a threat. Thus, decisions under uncertainty may only be taken where the amount of uncertainty can be considered uncritical. Additionally, industrial applications require a guaranteed real-time capability in terms of reaction to ensure that the actions can be taken in time whenever needed. Since economic aspects are often crucial for decisions in industry, necessary experiments under laboratory conditions, for example, should also be as avoidable as possible, while the effort required for integration into a field application should be as simple as possible.
The aim of this work is the scientific investigation of the integration of learning feedback
for intelligent decision making in the control of industrial processes. The successful integration enables data-driven process optimization. To get closer to the vision of self-optimizing machines, safe optimization methods for industrial applications on the process level are investigated and developed. Here, considering the given restrictions of the automation industry is critical. This work addresses several fields including technical, algorithmic and conceptual aspects. The algorithmic refinements are essential for enabling a wider use of safe optimization for industrial applications. They allow, e.g., the automatic handling of the majority of hyper-parameters and the solution of complex problems by increased computational efficiency. Furthermore, the trade-off between exploration and exploitation of safe optimization in high-dimensional spaces is improved. To account for changeable states perceived via sensor data, contextual Bayesian optimization is modified so that safety requirements are met and real-time capability is satisfied. A software application for industrial safe optimization is implemented within a real-time capable control to be able to interact with other software modules to reach an intelligent decision. Further contributions cover recommendations regarding technical requirements with focus on edge control devices and the conceptual inclusion of machine learning to industrial process control.
To emphasize the application relevance and feasibility of the presented concepts, real world lighthouse projects are realized in the course of this work, indented to reduce skepticism and thus initiate the breakthrough of self-optimizing machines.
We present the first comprehensive and systematic review on the structurally diverse toco-chromanols and -chromenols found in photosynthetic organisms, including marine organisms, and as metabolic intermediates in animals. The focus of this work is on the structural diversity of chromanols and chromenols that result from various side chain modifications. We describe more than 230 structures that derive from a 6-hydroxy-chromanol- and 6-hydroxy-chromenol core, respectively, and comprise di-, sesqui-, mono- and hemiterpenes. We assort the compounds into a structure–activity relationship with special emphasis on anti-inflammatory and anti-carcinogenic activities of the congeners. This review covers the literature published from 1970 to 2017.