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Social Assistance
(2018)
If the first Sustainable Development Goal (SDG) to “End poverty in all its forms everywhere” is to be taken seriously, most low- and middle-income countries face a huge challenge. An estimated 1 billion people have indeed escaped extreme poverty since the early 1990s, and the global poverty rate fell from 35% in 1990 to 10.7% in 2013, but the absolute number of people living below the international poverty line of $1.90 at purchasing power parity has hardly changed. Countries in Asia contributed greatly to the overall decline in poverty rates: from 2012 to 2013, over 100 million people in Asia left extreme poverty behind, notably in India, Indonesia, and the People’s Republic of China (PRC) (World Bank 2016). Yet the living standards of those still below that line have hardly improved (Ravallion 2016). The achievement of the first SDG requires additional efforts at global and national levels, particularly on policies that address chronic poverty traps and that improve the outcomes of poor and vulnerable populations.
Internships and professional experience are becoming more and more important requisites for students and graduates and are almost taken for granted by many HR officials. In opposition to this, many newly created Bachelor and Master programmes make it difficult for students to integrate internships into their studies without having to add another semester and thereby "losing" valuable time. This becomes all the more relevant with private universities or universities generally that charge considerable tuition fees.
According to the International Union of Pure and Applied Chemistry (IUPAC) recommendation, analytical pyrolysis (Py) is defined as the characterization in an inert atmosphere of a material or a chemical process by a chemical degradation reaction(s) induced by thermal energy [1]. Thermal degradation under controlled conditions is often used as a part of an analytical procedure, either to render a sample into a suitable form for subsequent analysis by gas chromatography (GC), mass spectrometry (MS), gas chromatography coupled with the mass spectrometry (GC/MS), with the Fourier-transform infrared spectroscopy (GC/FTIR), or by direct monitoring as an analytical technique in its own right [2].
While Anglo-Saxon HEIs focus on a strong educational background and personal development of students, the German system, in particular Universities of Applied Sciences, emphasize employability through the transfer of job-related professional and soft skills. In this context, learning by practical application of skills has become an important instrument. Concepts for linking theory and application include research-based learning, practical internships or service learning – methods, which also maintain high standards of academic education.
Gas chromatography (GC) is a type of chromatography. According to the International Union of Pure and Applied Chemistry (IUPAC) recommendation, gas chromatography is defined as a separation technique in which the mobile phase is a gas. Gas chromatography is always carried out in a column [1]. GC is a separation and detection method for sample mixtures, whose components can be volatilized without thermal decomposition.
Introduction
(2018)
This handbook describes the processes and success factors of marketoriented university services to the non-academic world, and the processes to integrate these services into teaching. It aims to highlight benchmark examples from Africa and Germany in order to outline motivational factors, influencing aspects, as well as drivers and barriers to applied university services in developing countries.
Conclusion
(2018)
There is a paradigm shift from traditional content-based education and training to competencybased and practice-oriented training. This shift has occurred because practice-oriented teaching has been found to produce a training outcome that is industry focused, generating the relevant occupational standards. Competency-based training program often comprises of modules broken into segments called learning outcomes. These learning outcomes are based on criteria set by industry and assessment is designed to ensure students become competent in their respective areas of specialization.
Multidisciplinary, multicultural, and multitasking has taken center stage in the global educational debate. Globalization and improvement in communication have affected the way organisations operate and hence influenced whom they hire. Today, it is common practice to work with people from diverse backgrounds and it requires competencies that go beyond general project management. Intercultural awareness, networking in different global communities, and learning to develop specific communication strategies for different stakeholders is all part of the package of skills and competencies that are required in today's interconnected world. This has indirect implication on the nature of skills and competencies institutions/universities must equip their students with to enable them to compete successfully in the working world.
Project Overview
(2018)
The project "German-African University Partnership Platform for the Development of Entrepreneurs and Small/Medium Enterprises" started in 2015 within the framework of the program "University-Business-Partnerships between Higher Education Institutions and Business Partners in Germany and in Developing Countries", funded by the German Ministry of Economic Cooperation and Development (BMZ), and the German Academic Exchange Service (DAAD). It is carried out by Hochschule Bonn-Rhein-Sieg, University of Applied Sciences in Germany (H-BRS), the University of Cape Coast (UCC) in Ghana, and the University of Nairobi (UoN) in Kenya.
From September 2016 to February 2017, I did an internship at the University of Cape Coast, Ghana (UCC) as part of my studies in Business Administration at Hochschule Bonn-Rhein-Sieg, University of Applied Sciences, Germany (H-BRS). At H-BRS, an internship of five or six months (or, alternatively, one exchange semester) is an obligatory part of the curriculum so students get hands-on experience even before they enter the job market. My internship was also part of the intercontinental partnership between UCC and H-BRS, which has resulted in many different projects.
The curricula of all degree programs at H-BRS have many different practice-oriented activities and focus on hands-on learning. In labs and small classrooms (30–60 persons), students get a personalized learning environment which is complemented with many individual and group projects that foster collaborative work situations. There are several main areas that students learn from working with industry, local organizations or public institutions.
Telecollaborating and communicating in online contexts using English as a Lingua Franca (ELF) requires students to develop multiple literacies in addition to foreign language skills and intercultural communicative competence. This chapter looks at the intersection of technology and teaching ELF, examining mutual contributions of technologies, more specifically Web 2.0, and ELF to each other, and the challenges in designing and implementing collaboration projects across cultures. Moreover, it looks at how the development of digital competencies in ELF (DELF) can be enhanced through the implementation of Web 2.0 mediated intercultural dialogues. The detail of the research design including internet tools used, participants and tasks are also discussed. Data analysis points to a positive attitude towards telecollaboration, also providing confirmation of some of the problems identified in theoretical framework, such as different levels of personal engagement.
Improving the Performance of Parallel SpMV Operations on NUMA Systems with Adaptive Load Balancing
(2018)
For a parallel Sparse Matrix Vector Multiply (SpMV) on a multiprocessor, rather simple and efficient work distributions often produce good results. In cases where this is not true, adaptive load balancing can improve the balance and performance. This paper introduces a low overhead framework for adaptive load balancing of parallel SpMV operations. It uses statistical filters to gather relevant runtime performance data and detects an imbalance situation. Three different algorithms were compared that adaptively balance the load with high quality and low overhead. Results show that for sparse matrices, where the adaptive load balancing was enabled, an average speedup of 1.15 (regarding the total execution time) could be achieved with our best algorithm over 4 different matrix formats and two different NUMA systems.
Social Insurance
(2018)
Extending coverage through contributory social insurance or other contributory programs is tempting for governments as a potential avenue for mobilizing new resources and creating new fiscal space. Such extension has clear limits, however: it applies only to those in the labor market who have employment status with high degree of formality and whose incomes are significantly above subsistence level and received regularly. It also requires administrative structures with capacity to regularly register incomes of those covered, and to collect contributions.
This chapter analyzes the potential of social insurance (also called contributory social protection) in the 16 Asian countries reviewed in this publication to fill the protection and coverage gaps in income security. It focuses on pensions, but also reviews other benefits temporarily replacing lost labor income due to events such as sickness, maternity, and unemployment. As current labor market structures largely determine the chances of extending coverage through these means, this chapter also examines their characteristics and analyzes coverage by the different forms of social insurance and assesses the potential for extension.
Social protection measures require sustainable financing – creating and maintaining adequate fiscal space at the national level. Good governance of social protection at all stages – planning policies, policy reforms, and implementation – requires continuous monitoring of its performance and finances, including long-term projections and simulations of cost and benefits of different social protection programs and overall social protection systems. These projections and simulations should take into account demographic trends, including demographic ageing.