The Ever-Increasing Demand For (And Reliance On) French And English In Post-Independence Sub-Saharan Africa

2011 ◽  
Vol 21 (1) ◽  
Author(s):  
JM Lubinda
2021 ◽  

Cet ouvrage collectif rassemble quatorze contributions scientifiques consacrées à La traduction et l’interprétation en Afrique subsaharienne. Le sous-titre Les nouveaux défis d’un espace multilingue se situe au cœur des préoccupations des auteurs, qui allient souvent une expérience professionnelle indéniable à leur statut universitaire. Rédigées en français et en anglais, leurs analyses couvrent au moins sept pays différents, lorsqu’elles ne décrivent pas des réalités et des défis qui transcendent largement les frontières. Les problématiques abordées sont nombreuses et étroitement imbriquées : enseignement multilingue, formation professionnelle des interprètes et des traducteurs, interprétation communautaire, besoins des administrations et des organisations internationales, création de ressources lexicales, ingénierie linguistique… This collective work contains fourteen scientific contributions related to Translation and Interpretation in Sub-Saharan Africa. The subtitle ‘The New Challenges in a Multilingual Space’ is at the heart of the concerns of the authors, who often blend their undeniable professional experience with their university status. Their analyses, written in French and English, cover at least seven different countries, and sometimes describe realities and challenges that largely transcend borders. Numerous issues that are closely intertwined are addressed including multilingual education, professional training of interpreters and translators, community interpreting, the needs of governments and international organizations, the development of lexical resources, language engineering, etc.


2021 ◽  
Vol 5 ◽  
Author(s):  
Kwasi Adu Obirikorang ◽  
Wonder Sekey ◽  
Benjamin Apraku Gyampoh ◽  
George Ashiagbor ◽  
Winston Asante

Increasing demand on water resources, reduced land water availability, and concerns over food security have spurred the evolution of many innovative and complex food production. An aquaponic system is a productive, innovative, and sustainable fish and vegetable production system that is revolutionizing agriculture in the face of drought, soil fertility losses, and climate change. Aquaponics, as an advanced aquaculture-agriculture system, is expected to improve food security in developing countries. However, as an emerging technology, there is very limited information on the system in Africa. Questions about the ecological and socio-economic sustainability of aquaponics are answered in this comprehensive review. This review considers aquaponics projects in Africa, categorizes the technology by evidences of their effectiveness, fish and plant yields, and juxtaposes the technology within best-use practices to make recommendations that will inform evidence-based policymaking. It also maps the present spatial adoption of the technology in sub-Saharan Africa and highlights the system's contribution to improving food security on the continent. Egypt and South Africa are countries where aquaponics is emerging and being adopted at faster rates and contributing to food security. In West Africa, significantly lower net-discounted benefit-cost ratios were realized when aquaponics systems were constructed using imported materials compared to using locally available materials. Despite aquaponics systems generally having higher start-up costs currently, its potential to be economically viable when undertaken with local materials is very high.


2019 ◽  
Author(s):  
Alexander T. Xue ◽  
Daniel R. Schrider ◽  
Andrew D. Kern ◽  

AbstractIdentification of partial sweeps, which include both hard and soft sweeps that have not currently reached fixation, provides crucial information about ongoing evolutionary responses. To this end, we introduce partialS/HIC, a deep learning method to discover selective sweeps from population genomic data. partialS/HIC uses a convolutional neural network for image processing, which is trained with a large suite of summary statistics derived from coalescent simulations incorporating population-specific history, to distinguish between completed versus partial sweeps, hard versus soft sweeps, and regions directly affected by selection versus those merely linked to nearby selective sweeps. We perform several simulation experiments under various demographic scenarios to demonstrate partialS/HIC’s performance, which exhibits excellent resolution for detecting partial sweeps. We also apply our classifier to whole genomes from eight mosquito populations sampled across sub-Saharan Africa by the Anopheles gambiae 1000 Genomes Consortium, elucidating both continent-wide patterns as well as sweeps unique to specific geographic regions. These populations have experienced intense insecticide exposure over the past two decades, and we observe a strong overrepresentation of sweeps at insecticide resistance loci. Our analysis thus provides a list of candidate adaptive loci that may be relevant to mosquito control efforts. More broadly, our supervised machine learning approach introduces a method to distinguish between completed and partial sweeps, as well as between hard and soft sweeps, under a variety of demographic scenarios. As whole-genome data rapidly accumulate for a greater diversity of organisms, partialS/HIC addresses an increasing demand for useful selection scan tools that can track in-progress evolutionary dynamics.


Author(s):  
E.L. Kuksova ◽  
T.G. Voloshina ◽  
Yu.S. Blazhevich

The study focuses on the existence of French and English in sub-Saharan Africa. The article discusses two new linguocultural environments that have developed in postcolonial Africa: anglophone and francophone. Scientists raise the question of the state status of English and French in Sub-Saharan Africa, their sociocultural role and the problems of their functioning in these countries. Particular attention is paid to the ongoing language policy in sub-Saharan Africa, according to which English and French become an obligatory component of the sociocultural environment, which, on the one hand, is imposed against the will of Africans, and, on the other hand, unites multilingual African ethnic groups. The main role in the conduct of language policy is played by education, through which the European languages in question penetrate into an unnatural linguocultural environment for them. The paper describes the approaches to teaching languages, typical of English-speaking and French-speaking countries, evaluating their strengths and weaknesses.


Author(s):  
Alexander T Xue ◽  
Daniel R Schrider ◽  
Andrew D Kern ◽  

Abstract Identification of partial sweeps, which include both hard and soft sweeps that have not currently reached fixation, provides crucial information about ongoing evolutionary responses. To this end, we introduce partialS/HIC, a deep learning method to discover selective sweeps from population genomic data. partialS/HIC uses a convolutional neural network for image processing, which is trained with a large suite of summary statistics derived from coalescent simulations incorporating population-specific history, to distinguish between completed versus partial sweeps, hard versus soft sweeps, and regions directly affected by selection versus those merely linked to nearby selective sweeps. We perform several simulation experiments under various demographic scenarios to demonstrate partialS/HIC’s performance, which exhibits excellent resolution for detecting partial sweeps. We also apply our classifier to whole genomes from eight mosquito populations sampled across sub-Saharan Africa by the Anopheles gambiae 1000 Genomes Consortium, elucidating both continent-wide patterns as well as sweeps unique to specific geographic regions. These populations have experienced intense insecticide exposure over the past two decades, and we observe a strong overrepresentation of sweeps at insecticide resistance loci. Our analysis thus provides a list of candidate adaptive loci that may be relevant to mosquito control efforts. More broadly, our supervised machine learning approach introduces a method to distinguish between completed and partial sweeps, as well as between hard and soft sweeps, under a variety of demographic scenarios. As whole-genome data rapidly accumulate for a greater diversity of organisms, partialS/HIC addresses an increasing demand for useful selection scan tools that can track in-progress evolutionary dynamics.


2017 ◽  
Vol 1 (6) ◽  
pp. 533-537
Author(s):  
Lorenz von Seidlein ◽  
Borimas Hanboonkunupakarn ◽  
Podjanee Jittmala ◽  
Sasithon Pukrittayakamee

RTS,S/AS01 is the most advanced vaccine to prevent malaria. It is safe and moderately effective. A large pivotal phase III trial in over 15 000 young children in sub-Saharan Africa completed in 2014 showed that the vaccine could protect around one-third of children (aged 5–17 months) and one-fourth of infants (aged 6–12 weeks) from uncomplicated falciparum malaria. The European Medicines Agency approved licensing and programmatic roll-out of the RTSS vaccine in malaria endemic countries in sub-Saharan Africa. WHO is planning further studies in a large Malaria Vaccine Implementation Programme, in more than 400 000 young African children. With the changing malaria epidemiology in Africa resulting in older children at risk, alternative modes of employment are under evaluation, for example the use of RTS,S/AS01 in older children as part of seasonal malaria prophylaxis. Another strategy is combining mass drug administrations with mass vaccine campaigns for all age groups in regional malaria elimination campaigns. A phase II trial is ongoing to evaluate the safety and immunogenicity of the RTSS in combination with antimalarial drugs in Thailand. Such novel approaches aim to extract the maximum benefit from the well-documented, short-lasting protective efficacy of RTS,S/AS01.


1993 ◽  
Vol 47 (3) ◽  
pp. 555-556
Author(s):  
Lado Ruzicka

Crisis ◽  
2011 ◽  
Vol 32 (1) ◽  
pp. 43-51 ◽  
Author(s):  
Eugene Kinyanda ◽  
Ruth Kizza ◽  
Jonathan Levin ◽  
Sheila Ndyanabangi ◽  
Catherine Abbo

Background: Suicidal behavior in adolescence is a public health concern and has serious consequences for adolescents and their families. There is, however, a paucity of data on this subject from sub-Saharan Africa, hence the need for this study. Aims: A cross-sectional multistage survey to investigate adolescent suicidality among other things was undertaken in rural northeastern Uganda. Methods: A structured protocol administered by trained psychiatric nurses collected information on sociodemographics, mental disorders (DSM-IV criteria), and psychological and psychosocial risk factors for children aged 3–19 years (N = 1492). For the purposes of this paper, an analysis of a subsample of adolescents (aged 10–19 years; n = 897) was undertaken. Results: Lifetime suicidality in this study was 6.1% (95% CI, 4.6%–7.9%). Conclusions: Factors significantly associated with suicidality included mental disorder, the ecological factor district of residence, factors suggestive of low socioeconomic status, and disadvantaged childhood experiences.


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