The book presents findings of anthropological studies conducted by researchers from Agricultural Technology Demonstration Center in a number of African countries, including Zimbabwe, Ethiopia, Tanzania, and Mozambique. The aim of these ethnological studies is to understand the Center's experience in these countries as well as the way it works in terms of institutional arrangement, interaction between Chinese and local staff and technology transfer. A basic contention of the book is that insofar as these Centers showcase China's achievements in domestic development for purpose of sharing the country's experiences with host countries, what they do essentially points toward a new and innovative approach to foreign aid.

The book presents findings of anthropological studies conducted by researchers from Agricultural Technology Demonstration Center in a number of African countries, including Zimbabwe, Ethiopia, Tanzania, and Mozambique. The aim of these ethnological studies is to understand the Center’s experience in these countries as well as the way it works in terms of institutional arrangement, interaction between Chinese and local staff and technology transfer. A basic contention of the book is that insofar as these Centers showcase China’s achievements in domestic development for purpose of sharing the country’s experiences with host countries, what they do essentially points toward a new and innovative approach to foreign aid.

This open access handbook analyses the role of development cooperation in achieving the 2030 Agenda in a global context of 'contested cooperation'. Development actors, including governments providing aid or South-South Cooperation, developing countries, and non-governmental actors (civil society, philanthropy, and businesses) constantly challenge underlying narratives and norms of development. The book explores how reconciling these differences fosters achievement of the Sustainable Development Goals.

In this book a distributed algorithm for coordinate- free Wireless Sensor Networks to elect a small subset of nodes achieving full coverage is introduced. To the best of the authors' knowledge, this is the first time that a practical and efficient algorithm for electing a sub-optimal subset of nodes for full coverage is introduced only using connectivity information. It also provides an efficient way to detect accurate boundary of un-triangulated holes and recovery them in Wireless Sensor Networks. A distributed hole recovery (DHR) algorithm is also introduced, which is executed on the nodes which define the hole boundary. It iteratively activates only those redundant nodes required to recover the hole. Each node knows about nodes only one or two hops away, as well as information about the connectivity between the boundary nodes enclosing the hole. Another Distributed Boundary Detection (DBD) algorithm for coordinate-free Wireless Sensor Networks is also introduced. It requires only 2-hop neighbor information for each node regardless of node density and network topology.

Discover Topology Using Connectivities A distributed coordinate-free topology aware algorithm called Triangular Mesh Self-organized self- Healing (3MeSH) is introduced to detect boundaries of coverage holes using connectivity information, and recover such holes by activating the minimum number of redundant nodes using a distributed iterative process. A routing hole can be detected in almost the same way as a coverage hole, therefore routing holes, jamming holes, sink/black holes and worm holes may also be detected or avoided using exactly the same algorithm (3MeSH). A probabilistic model is also introduced to calculate the probability of triangulation for any position in a randomly deployed sensor network given the node density. Another mathematical model is introduced to calculate the mean size of holes. Based on these models, the expected number of holes and the probability of complete coverage are formulated for a sensor network with any node density and target area.