Education and the role of the church in Africa: three relevant aspects

In this article an attempt is made to provide a grounded basis for expanded church involvement in the provision of formal education, HIV and AIDS education and leadership education in Africa. This is done on the basis of a fundamental reflection on the role of the church in education, as well as a brief analysis of the formal education challenge, the HIV and AIDS challenge and the leadership challenge in Africa

Moving beyond a limited follow-up in cost-effectiveness analyses of behavioral interventions

Background Cost-effectiveness analyses of behavioral interventions typically use a dichotomous outcome criterion. However, achieving behavioral change is a complex process involving several steps towards a change in behavior. Delayed effects may occur after an intervention period ends, which can lead to underestimation of these interventions. To account for such delayed effects, intermediate outcomes of behavioral change may be used in cost-effectiveness analyses. The aim of this study is to model cognitive parameters of behavioral change into a cost-effectiveness model of a behavioral intervention. Methods The cost-effectiveness analysis (CEA) of an existing dataset from an RCT in which an high-intensity smoking cessation intervention was compared with a medium-intensity intervention, was re-analyzed by modeling the stages of change of the Transtheoretical Model of behavioral change. Probabilities were obtained from the dataset and literature and a sensitivity analysis was performed. Results In the original CEA over the first 12 months, the high-intensity intervention dominated in approximately 58% of the cases. After modeling the cognitive parameters to a future 2nd year of follow-up, this was the case in approximately 79%. Conclusion This study showed that modeling of future behavioral change in CEA of a behavioral intervention further strengthened the results of the standard CEA. Ultimately, modeling future behavioral change could have important consequences for health policy development in general and the adoption of behavioral interventions in particular

Rapport van het driemanschap in de zaak betreffende mevr. C.M. Post

FDR Procesrecht en mediation -- ou

Evolutionary history of the Karoo bush rat, Myotomys unisulcatus (Rodentia: Muridae): disconcordance between morphology and genetics

Morphological characters have historically been used as the basis for mammalian taxonomic designations and, in a geographic context, subspecies descriptions. Geographic genetic structuring of a species, however, often reflects a contrasting classification for sampled populations. To investigate morphological and genetic congruence, geometric morphometrics and phylogeographic mitochondrial DNA sequence analyses of a South African plainsdwelling species, Myotomys unisulcatus, the Karoo bush rat, was performed across its range. A Bayesian population structure analysis identified two closely-related distinct genetic assemblages: the first contains populations from both the eastern, southern, and western parts of the species range (coastal lowland group), and the second comprises individuals from the Little Karoo (central interior group). Areas of sharp elevation (the Great Escarpment), coupled to vegetational differences, appeared to be the main factor limiting gene flow between these two groups. Geometric morphometric analyses on the ventral and dorsal views of the crania of M. unisulcatus failed to support the genetic groupings. Instead environmental factors in the respective biomes appeared to play a more important role in shaping the crania of both genders. The contrasting patterns obtained between morphology and genetics in M. unisulcatus is probably indicative of phenotypic plasticity throughout the range of the species, and it is hypothesized that regional environmental factors play a prominent role in explaining geographic morphological variation within the species

An Efficient, Streamable Text Format for Multimedia Captions and Subtitles

International audienceIn spite of the high profile of media types such as video, audio and images, many multimedia presentations rely extensively on text content. Text can be used for incidental labels, or as subtitles or captions that accompany other media objects. In a multimedia document, text content is not only constrained by the need to support presentation styles and layout, it is also constrained by the temporal context of the presentation. This involves intra-text and extra-text timing synchronization with other media objects. This paper describes a new timed-text representation language that is intended to be embedded in a non-text host language. Our format, which we call aText (for the Ambulant Text Format), balances the need for text styling with the requirement for an efficient representation that can be easily parsed and scheduled at runtime. aText, which can also be streamed, is defined as an embeddable text format for use within declarative XML languages. The paper presents a discussion of the requirements for the format, a description of the format and a comparison with other existing and emerging text formats. We also provide examples for aText when embedded within the SMIL and MLIF languages and discuss our implementation experiences of aText with the Ambulant Player

Moving beyond a limited follow-up in cost-effectiveness analyses of behavioral interventions

Background Cost-effectiveness analyses of behavioral interventions typically use a dichotomous outcome criterion. However, achieving behavioral change is a complex process involving several steps towards a change in behavior. Delayed effects may occur after an intervention period ends, which can lead to underestimation of these interventions. To account for such delayed effects, intermediate outcomes of behavioral change may be used in cost-effectiveness analyses. The aim of this study is to model cognitive parameters of behavioral change into a cost-effectiveness model of a behavioral intervention. Methods The cost-effectiveness analysis (CEA) of an existing dataset from an RCT in which an high-intensity smoking cessation intervention was compared with a medium-intensity intervention, was re-analyzed by modeling the stages of change of the Transtheoretical Model of behavioral change. Probabilities were obtained from the dataset and literature and a sensitivity analysis was performed. Results In the original CEA over the first 12 months, the high-intensity intervention dominated in approximately 58% of the cases. After modeling the cognitive parameters to a future 2nd year of follow-up, this was the case in approximately 79%. Conclusion This study showed that modeling of future behavioral change in CEA of a behavioral intervention further strengthened the results of the standard CEA. Ultimately, modeling future behavioral change could have important consequences for health policy development in general and the adoption of behavioral interventions in particular