A Nguni calf wishes he were cooler, like Longhorn cattle who ride in rodeos, shaggy Highland cattle, or sacred Brahman cattle, until his mother shows him how the individual patterns of Nguni cattle make them "designer."

Postcolonial Polysystems: The Production and Reception of Translated Children’s Literature in South Africa is an original and provocative contribution to the field of children’s literature research and translation studies. It draws on a variety of methodologies to provide a perspective, both product- and process-oriented, on the ways in which translation contributes to the production of children’s literature in South Africa, with a special interest in language and power, as well as post- and neocolonial hybridity. The book explores the forces that affect the use of translation in producing children’s literature in various languages in South Africa, and shows how some of these forces precipitate in the selection, production and reception of translated children’s books in Afrikaans and English. It breaks new ground in its interrogation of aspects of translation theory within the multilingual and postcolonial context of South Africa, as well as in its innovative experimental investigation of the reception of domesticating and foreignising strategies in translated picture books.

A tale about why sheep, dogs, and goats all act differently when a car approaches them in the road.

There has been a growth in the use, acceptance, and popularity of indigenous knowledge. High rates of poverty and a widening economic divide is threatening the accessibility to western scientific knowledge in the developing world where many indigenous people live. Consequently, indigenous knowledge has become a potential source for sustainable development in the developing world. The Handbook of Research on Theoretical Perspectives on Indigenous Knowledge Systems in Developing Countries presents interdisciplinary research on knowledge management, sharing, and transfer among indigenous communities. Providing a unique perspective on alternative knowledge systems, this publication is a critical resource for sociologists, anthropologists, researchers, and graduate-level students in a variety of fields.

The edifice of colonial Africa starts cracking as the Black experience with colonialism becomes intimately personal. There is Martin Paul Samba, whose adopted German aristocratic home as a student does not consider him material for a son-in-law. There are also Prince Rudolph Douala Manga Bell and Dr Bele who go to school with Samba in Germany. And then, of course, Princess Zara, the youthful Amazon warrior who is rescued from a slave ship on the shores of Kamerun. Supported by the Douala princes, Martin Paul Samba champions the cause of the exploited, in a central drama pitting Kamerunian nationalism against German colonialism. This is the story of youthful endeavours and loves, of some of Africa's best and brightest, immediately before and after the First World War.

Advancements in data science have created opportunities to sort, manage, and analyze large amounts of data more effectively and efficiently. Applying these new technologies to the healthcare industry, which has vast quantities of patient and medical data and is increasingly becoming more data-reliant, is crucial for refining medical practices and patient care. Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines practical applications of healthcare analytics for improved patient care, resource allocation, and medical performance, as well as for diagnosing, predicting, and identifying at-risk populations. Highlighting a range of topics such as data security and privacy, health informatics, and predictive analytics, this multi-volume book is ideally designed for doctors, hospital administrators, nurses, medical professionals, IT specialists, computer engineers, information technologists, biomedical engineers, data-processing specialists, healthcare practitioners, academicians, and researchers interested in current research on the connections between data analytics in the field of medicine.