Health technology innovation in low- and middle-income countries (LMICs), including countries in Africa, falls far short of meeting the healthcare needs of these settings. The result is a heavy reliance on products and technologies imported from industrialised countries that are often not suited to, or sustainable for, LMICs. Appropriate healthcare products for LMICs are best developed in these countries, where local knowledge and understanding of needs, context and available resources may be incorporated into designs and implementation plans. The objectives for enabling health technology development in LMICs include: 1) expanding the base of expertise through research training programmes with a problem-solving focus; 2) stimulating new knowledge, approaches and solutions by enabling innovation; and 3) integrating research communities within and across institutions to build critical mass. The field of biomedical engineering is central to health technology innovation. This book is a response to the need for biomedical engineering capacity in Africa. It is grounded in the African context. It serves as a resource for academics and students in biomedical engineering, for those interested in entering the field in any capacity and for practitioners at every stage of product development. University leaders intent on establishing new biomedical engineering programmes or departments, may draw on the content for guidance on structuring their offerings. The book reaches beyond Africa, as it is relevant to other LMIC settings, and provides insights to guide global health initiatives focused on technology innovation.
Abstract. We carry out a Lie group analysis of the Sachs equations for a time-dependent axisymmetric nonrotating space-time in which the Ricci tensor vanishes. These equations, which are the first two members of the set of Newman-Penrose equations, define the characteristic initial-value problem for the space-time. We find a particular form for the initial data such that these equations admit a Lie symmetry, and so defines a geometrically special class of such spacetimes. These should additionally be of particular physical interest because of this special geometric feature.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.