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CHANCE is a project funded by the EU-programme GRUNDTVIG/ “Lifelong Learning Programme” conducted from December 2007 to November 2009. Partners from the participating countries presented their individual project results at the 2nd international meeting on June 12th 2009, in Fulda, Germany. CHANCE describes new pathways to enhance and support people in the long term to be well-informed and to take responsibility for their own health. The focus of the project was based on the following questions: - What resources are offered by the community to live healthy or healthier and what are the barriers that need to be resolved? - Are there cultural differences in health behaviours and in the perception of health information? - What health information is perceived in general and by whom? - What information and health interventions are required? CHANCE shows how people in different European cities and communities live, perceive information with regard to health and process it. The inhabitants of the communities were motivated to participate actively in the improvement of local interventions with regard to consumer education in health. The community approach aims to reach socially, culturally or economically disadvantaged groups such as elderly people, migrants and single parents.
Can Buddhism be called a stronghold of free thinking? What relevance might Buddhism have for social developments in the twenty-first century, and where will it position itself in these processes? Free thinking has been emphasized and celebrated as an outstanding accomplishment of the human mind. This anthology might inspire the reader to look at some questions of global concern from a new angle and provide a stimulus for developing a freethinking attitude. It is the outcome of international and even transcontinental cooperation involving expert authors from Asia, Australia, Europe and the U.S.A. Contributions have been made by Bhikkhu Anâlayo, Karl-Heinz Brodbeck, Ashby Butnor, Silja Graupe, Guang Xing, Barbara Kameniar, Sallie B. King, and Charles S. Prebish.
The research papers published in this reader were presented to an audience of academicians and practitioners at several international business research conferences. All of the submitted articles and presentations abstracts were subject to a review by the Editorial Board of the conference, comprised of the following persons: Prof. Dr. Klaus Kellner (Universitiy of Applied Science Augsburg, Germany), Prof. em. Dr. Johannes Lachhammer (Augsburg University, Germany) and Prof. Guenther Kress, PhD, California State University. The Editorial Board also reviewed and approved the submitted full papers for publication in this reader. This reader intends to sustainably stimulate the discussion concerning recent developments in Business Management Research among scholars and practitioners. Each and every feedback, also and particularly from students, is most welcome.
The 1st Jordanian Conference on Logistics in the Mashreq Region was organized within the framework of the research project “JOINOLOG”, funded by the German Ministry of Education and Science.
The project’s conclusion and introduction to an audience of peers was the 1st Jordanian Conference on Logistics in the Mashreq Region (JCLM1), conducted on November 14th and 15th, 2023. These are the proceedings of this final event. They consolidate the shared efforts of all participants and speakers in JCLM1. The collection of these scientific results aims to promote logistical sciences and its transfer into application, which is reflected by their multidimensional presentation in this document.
In our paper we investigate the role of civil society organisations (CSOs) in the provision of services and in forming advocacy coalitions for illegalized migrants in Bern and Vienna. We analyse the variety of CSOs which actively challenge policies of exclusion at the urban level. We examine the political and social practices of CSOs in local welfare arrangements and their organizational structures, the way they build up solidarity relations, networks and alliances, and their relations to municipality and urban authorities. By focusing on varieties of practices and strategies of CSOs, we shed light on civil society’s crucial role concerning the construction of urban infrastructure of solidarity and aim to show how local arrangements for illegalized migrants are co-produced and negotiated by a variety of actors within urban settings.
Abstract:
There is still little experience in Germany in employing peers in social psychiatric institutions and services. Based on the European Leonardo da Vinci project „Experienced Involvement" from 2005-2007 pioneering work took long to broaden ist influence.
The presented work focused on the employment situation of ExIn recovery accompaniments in Germany and used a mixed methods design for this. On one hand a complete survey with a questonaire was used. This focused on the type and scope of Experienced Involvement as well as fields of application of ExIn recovery support and asked for reasons for non-employment and potential perspectives for future engagement. To find out about the subjective perspectives qualitative research methodes were used. This started with the implementation of focus groups to bring in the perspective of prospective ExIn recovery accompaniments. Further on guideline-based interviews were conducted with ExIn recovery accompaniments and their teammates on the experience of professional action, the conditions for this and the effects on the services and themselves.
The following article is targeted at both trainers and managers in educational organisations. It aims to provide support to those who would like to implement e-learning and new teaching methods in their organisations and who have a) already experienced resistance to such a change management process, or b)expect potential resistance. The article intends to help this target group by providing an understanding of the role of new media in the process of changing a “learning culture” in an educational organisation. Furthermore it introduces an approach to change management in educational settings which attempts to change resistance from a hindering to a productive element of change processes.
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.
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.