910 resultados para China in Africa
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La Gestión de Recursos Humanos a través de Internet es un problema latente y presente actualmente en cualquier sitio web dedicado a la búsqueda de empleo. Este problema también está presente en AFRICA BUILD Portal. AFRICA BUILD Portal es una emergente red socio-profesional nacida con el ánimo de crear comunidades virtuales que fomenten la educación e investigación en el área de la salud en países africanos. Uno de los métodos para fomentar la educación e investigación es mediante la movilidad de estudiantes e investigadores entre instituciones, apareciendo así, el citado problema de la gestión de recursos humanos. Por tanto, este trabajo se centra en solventar el problema de la gestión de recursos humanos en el entorno específico de AFRICA BUILD Portal. Para solventar este problema, el objetivo es desarrollar un sistema de recomendación que ayude en la gestión de recursos humanos en lo que concierne a la selección de las mejores ofertas y demandas de movilidad. Caracterizando al sistema de recomendación como un sistema semántico el cual ofrecerá las recomendaciones basándose en las reglas y restricciones impuestas por el dominio. La aproximación propuesta se basa en seguir el enfoque de los sistemas de Matchmaking semánticos. Siguiendo este enfoque, por un lado, se ha empleado un razonador de lógica descriptiva que ofrece inferencias útiles en el cálculo de las recomendaciones y por otro lado, herramientas de procesamiento de lenguaje natural para dar soporte al proceso de recomendación. Finalmente para la integración del sistema de recomendación con AFRICA BUILD Portal se han empleado diversas tecnologías web. Los resultados del sistema basados en la comparación de recomendaciones creadas por el sistema y por usuarios reales han mostrado un funcionamiento y rendimiento aceptable. Empleando medidas de evaluación de sistemas de recuperación de información se ha obtenido una precisión media del sistema de un 52%, cifra satisfactoria tratándose de un sistema semántico. Pudiendo concluir que con la solución implementada se ha construido un sistema estable y modular posibilitando: por un lado, una fácil evolución que debería ir encaminada a lograr un rendimiento mayor, incrementando su precisión y por otro lado, dejando abiertas nuevas vías de crecimiento orientadas a la explotación del potencial de AFRICA BUILD Portal mediante la Web 3.0. ---ABSTRACT---The Human Resource Management through Internet is currently a latent problem shown in any employment website. This problem has also appeared in AFRICA BUILD Portal. AFRICA BUILD Portal is an emerging socio-professional network with the objective of creating virtual communities to foster the capacity for health research and education in African countries. One way to foster this capacity of research and education is through the mobility of students and researches between institutions, thus appearing the Human Resource Management problem. Therefore, this dissertation focuses on solving the Human Resource Management problem in the specific environment of AFRICA BUILD Portal. To solve this problem, the objective is to develop a recommender system which assists the management of Human Resources with respect to the selection of the best mobility supplies and demands. The recommender system is a semantic system which will provide the recommendations according to the domain rules and restrictions. The proposed approach is based on semantic matchmaking solutions. So, this approach on the one hand uses a Description Logics reasoning engine which provides useful inferences to the recommendation process and on the other hand uses Natural Language Processing techniques to support the recommendation process. Finally, Web technologies are used in order to integrate the recommendation system into AFRICA BUILD Portal. The results of evaluating the system are based on the comparison between recommendations created by the system and by real users. These results have shown an acceptable behavior and performance. The average precision of the system has been obtained by evaluation measures for information retrieval systems, so the average precision of the system is at 52% which may be considered as a satisfactory result taking into account that the system is a semantic system. To conclude, it could be stated that the implemented system is stable and modular. This fact on the one hand allows an easy evolution that should aim to achieve a higher performance by increasing its average precision and on the other hand keeps open new ways to increase the functionality of the system oriented to exploit the potential of AFRICA BUILD Portal through Web 3.0.
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Diversos estudios consideran que las claves para el desarrollo técnico, social y económico de los países en desarrollo, y en especial en África, son la educación, la investigación y la innovación. No obstante, en el ámbito sanitario en particular, la formación e investigación en África sigue siendo escasa por diversos motivos. Por un lado, los investigadores africanos encuentran dificultades añadidas para obtener financiación frente a investigadores en países de desarrollo. Y, por otro lado, los investigadores no disponen de las herramientas y tecnologías adecuadas para acceder a información relevante para su trabajo. En este contexto, el proyecto AFRICA BUILD tiene como principal objetivo mejorar y fomentar la investigación y educación sanitaria en África a través de las nuevas tecnologías. Uno de los resultados principales de este proyecto es el AFRICA BUILD Portal (ABP), que pretende ser un punto de encuentro para los investigadores africanos, donde podrán encontrar un amplio abanico de herramientas que les permita no sólo mejorar su educación, sino compartir conocimientos con otros investigadores. Este portal, que está actualmente en desarrollo, pretende fomentar la comunicación entre instituciones africanas y les proveerá herramientas biomédicas avanzadas. En este Trabajo de Fin de Grado se han marcado como principal objetivo la mejora del sistema de e-learning que existía en el ABP. El nuevo sistema será: (i) más potente, óptimo y rico en funcionalidades, (ii) tendrá una importante base social permitiendo a los usuarios aportar información y compartir conocimiento, y (iii) será distribuido y escalable, capaz de integrar distintos gestores de contenidos didácticos como fuentes de información. Los resultados obtenidos son positivos y el nuevo sistema de aprendizaje ha mejorado la usabilidad, funcionalidad y apariencia del anterior. Para concluir, la herramienta posee aún un gran margen de mejora, pero gracias al trabajo realizado el sistema de e-learning es ahora más social, distribuido, escalable e innovador. ---ABSTRACT---Several studies find that the keys to the technical, social and economic development of developing countries, especially in Africa, are education, research and innovation. However, in the health sector in particular, training and research in Africa remains low for various reasons. On the one hand, African researchers experience additional difficulties for funding against researchers in developing countries. And on the other hand, researchers do not have the right tools and technologies to access information relevant to their work. In this context, the AFRICA BUILD project's main objective is to improve and enhance research and health education in Africa through new technologies. One of the main results of this project is the AFRICA BUILD Portal (ABP), which aims to be a meeting point for African researchers, where they can find a wide range of tools that allows them to not only improve their education but to share knowledge with other researchers. This portal, which is currently under development, aims to promote communication between African institutions and will provide advanced biomedical tools. The main objective of this Final Year Project is the improvement of the former elearning system that already existed in the ABP. The new system will be: (i) more powerful, richer in features, (ii) will have an important social base allowing users to contribute information and knowledge sharing; and (iii) will be distributed and scalable, capable of integrating different learning management systems as sources of information. The final results obtained are fairly positive and the new e-learning system has improved its usability, functionality and appearance of the former. To conclude, the tool still has much room for improvement, but thanks to the new features of the improved elearning system has become more social, distributed, scalable and innovative.
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La agricultura es uno de los sectores más afectados por el cambio climático. A pesar de haber demostrado a lo largo de la historia una gran capacidad para adaptarse a nuevas situaciones, hoy en día la agricultura se enfrenta a nuevos retos tales como satisfacer un elevado crecimiento en la demanda de alimentos, desarrollar una agricultura sostenible con el medio ambiente y reducir las emisiones de gases de efecto invernadero. El potencial de adaptación debe ser definido en un contexto que incluya el comportamiento humano, ya que éste juega un papel decisivo en la implementación final de las medidas. Por este motivo, y para desarrollar correctamente políticas que busquen influir en el comportamiento de los agricultores para fomentar la adaptación a estas nuevas condiciones, es necesario entender previamente los procesos de toma de decisiones a nivel individual o de explotación, así como los efectos de los factores que determinan las barreras o motivaciones de la implementación de medidas. Esta Tesis doctoral trata de profundizar en el análisis de factores que influyen en la toma de decisiones de los agricultores para adoptar estrategias de adaptación al cambio climático. Este trabajo revisa la literatura actual y desarrolla un marco metodológico a nivel local y regional. Dos casos de estudio a nivel local (Doñana, España y Makueni, Kenia) han sido llevados a cabo con el fin de explorar el comportamiento de los agricultores hacia la adaptación. Estos casos de estudio representan regiones con notables diferencias en climatología, impactos del cambio climático, barreras para la adaptación y niveles de desarrollo e influencia de las instituciones públicas y privadas en la agricultura. Mientras el caso de estudio de Doñana representa un ejemplo de problemas asociados al uso y escasez del agua donde se espera que se agraven en el futuro, el caso de estudio de Makueni ejemplifica una zona fuertemente amenazada por las predicciones de cambio climático, donde adicionalmente la falta de infraestructura y la tecnología juegan un papel crucial para la implementación de la adaptación. El caso de estudio a nivel regional trata de generalizar en África el comportamiento de los agricultores sobre la implementación de medidas. El marco metodológico que se ha seguido en este trabajo abarca una amplia gama de enfoques y métodos para la recolección y análisis de datos. Los métodos utilizados para la toma de datos incluyen la implementación de encuestas, entrevistas, talleres con grupos de interés, grupos focales de discusión, revisión de estudios previos y bases de datos públicas. Los métodos analíticos incluyen métodos estadísticos, análisis multi‐criterio para la toma de decisiones, modelos de optimización de uso del suelo y un índice compuesto calculado a través de indicadores. Los métodos estadísticos se han utilizado con el fin de evaluar la influencia de los factores socio‐económicos y psicológicos sobre la adopción de medidas de adaptación. Dentro de estos métodos se incluyen regresiones logísticas, análisis de componentes principales y modelos de ecuaciones estructurales. Mientras que el análisis multi‐criterio se ha utilizado con el fin de evaluar las opciones de adaptación de acuerdo a las opiniones de las diferentes partes interesadas, el modelo de optimización ha tenido como fin analizar la combinación óptima de medidas de adaptación. El índice compuesto se ha utilizado para evaluar a nivel regional la implementación de medidas de adaptación en África. En general, los resultados del estudio ponen de relieve la gran importancia de considerar diferentes escalas espaciales a la hora de evaluar la implementación de medidas de adaptación al cambio climático. El comportamiento de los agricultores es diferente entre lugares considerados a una escala local relativamente pequeña, por lo que la generalización de los patrones del comportamiento a escalas regionales o globales resulta relativamente compleja. Los resultados obtenidos han permitido identificar factores determinantes tanto socioeconómicos como psicológicos y calcular su efecto sobre la adopción de medidas de adaptación. Además han proporcionado una mejor comprensión del distinto papel que desempeñan los cinco tipos de capital (natural, físico, financiero, social y humano) en la implementación de estrategias de adaptación. Con este trabajo se proporciona información de gran interés en los procesos de desarrollo de políticas destinadas a mejorar el apoyo de la sociedad a tomar medidas contra el cambio climático. Por último, en el análisis a nivel regional se desarrolla un índice compuesto que muestra la probabilidad de adoptar medidas de adaptación en las regiones de África y se analizan las causas que determinan dicha probabilidad de adopción de medidas. ABSTRACT Agriculture is and will continue to be one of the sectors most affected by climate change. Despite having demonstrated throughout history a great ability to adapt, agriculture today faces new challenges such as meeting growing food demands, developing sustainable agriculture and reducing greenhouse gas emissions. Adaptation policies planned on global, regional or local scales are ultimately implemented in decision‐making processes at the farm or individual level so adaptation potentials have to be set within the context of individual behaviour and regional institutions. Policy instruments can play a formative role in the adoption of such policies by addressing incentives/disincentives that influence farmer’s behaviour. Hence understanding farm‐level decision‐making processes and the influence of determinants of adoption is crucial when designing policies aimed at fostering adoption. This thesis seeks to analyse the factors that influence decision‐making by farmers in relation to the uptake of adaptation options. This work reviews the current knowledge and develops a methodological framework at local and regional level. Whilst the case studies at the local level are conducted with the purpose of exploring farmer’s behaviour towards adaptation the case study at the regional level attempts to up‐scale and generalise theory on adoption of farmlevel adaptation options. The two case studies at the local level (Doñana, Spain and Makueni, Kenya) encompass areas with different; climates, impacts of climate change, adaptation constraints and limits, levels of development, institutional support for agriculture and influence from public and private institutions. Whilst the Doñana Case Study represents an area plagued with water‐usage issues, set to be aggravated further by climate change, Makueni Case study exemplifies an area decidedly threatened by climate change where a lack of infrastructure and technology plays a crucial role in the uptake of adaptation options. The proposed framework is based on a wide range of approaches for collecting and analysing data. The approaches used for data collection include the implementation of surveys, interviews, stakeholder workshops, focus group discussions, a review of previous case studies, and public databases. The analytical methods include statistical approaches, multi criteria analysis for decision‐making, land use optimisation models, and a composite index based on public databases. Statistical approaches are used to assess the influence of socio‐economic and psychological factors on the adoption or support for adaptation measures. The statistical approaches used are logistic regressions, principal component analysis and structural equation modelling. Whilst a multi criteria analysis approach is used to evaluate adaptation options according to the different perspectives of stakeholders, the optimisation model analyses the optimal combination of adaptation options. The composite index is developed to assess adoption of adaptation measures in Africa. Overall, the results of the study highlight the importance of considering various scales when assessing adoption of adaptation measures to climate change. As farmer’s behaviour varies at a local scale there is elevated complexity when generalising behavioural patterns for farmers at regional or global scales. The results identify and estimate the effect of most relevant socioeconomic and psychological factors that influence adoption of adaptation measures to climate change. They also provide a better understanding of the role of the five types of capital (natural, physical, financial, social, and human) on the uptake of farm‐level adaptation options. These assessments of determinants help to explain adoption of climate change measures and provide helpful information in order to design polices aimed at enhancing societal support for adaptation policies. Finally the analysis at the regional level develops a composite index which suggests the likelihood of the regions in Africa to adopt farm‐level adaptation measures and analyses the main causes of this likelihood of adoption.
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In recent years, the establishment of cooperation networks between universities is one of the most important trends in higher education all over the world. Well recognized local and international university networks have been implemented in most educational institutions. It is common to find associations of various prestigious universities collaborating in a high-‐technology research project including a very specialized teaching as well. This is the most common cooperation networks among higher education institutions in developed countries. An increasingly common type of networking between developed and developing universities is related to cooperation for development. This is the case of many universities in Africa that are needed for external help in order to improve its capabilities. Numerous memorandums of understanding regarding first world institutions that collaborate with universities in developing countries describe contributions of eventual visiting professors, teaching material and courses. But probably there exist another type of more important, but less explored association, such as networking among developing universities. The new goal, in this case, is not only the excellence but also the mutual development.
Capacity Building through education, research and collaboration: AFRICA BUILD, an eHealth Case Study
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AFRICA BUILD (AB) is a Coordination Action project under the 7th European Framework Programme having the aim of improving the capacities for health research and education in Africa through Information and Communication Technologies (ICT). This project, started in 2012, has promoted health research, education and evidence-based practice in Africa through the creation of centers of excellence, by using ICT,?know-how?, eLearning and knowledge sharing, through Web-enabled virtual communities.
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The world contains boundaries (e.g., continental edge for terrestrial taxa) that impose geometric constraints on the distribution of species ranges. Thus, contrary to traditional thinking, the expected species richness pattern in absence of ecological or physiographical factors is unlikely to be uniform. Species richness has been shown to peak in the middle of a bounded one-dimensional domain, even in the absence of ecological or physiographical factors. Because species ranges are not linear, an extension of the approach to two dimensions is necessary. Here we present a two-dimensional null model accounting for effects of geometric constraints. We use the model to examine the effects of continental edge on the distribution of terrestrial animals in Africa and compare the predictions with the observed pattern of species richness in birds endemic to the continent. Latitudinal, longitudinal, and two-dimensional patterns of species richness are predicted well from the modeled null effects alone. As expected, null effects are of high significance for wide ranging species only. Our results highlight the conceptual significance of an until recently neglected constraint from continental shape alone and support a more cautious analysis of species richness patterns at this scale.
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We have analyzed 75 isolates of Plasmodium falciparum, collected in Venezuela during both the dry (November) and rainy (May–July) seasons, with a range of genetic markers including antigen genes and 14 random amplified polymorphic DNA (RAPD) primers. Thirteen P. falciparum stocks from Kenya and four other Plasmodium species are included in the analysis for comparison. Cross-hybridization shows that the 14 RAPD primers reveal 14 separate regions of the parasite's genome. The P. falciparum isolates are a monophyletic clade, significantly different from the other Plasmodium species. We identify three RAPD characters that could be useful as “tags” for rapid species identification. The Venezuelan genotypes fall into two discrete genetic subdivisions associated with either the dry or the rainy season; the isolates collected in the rainy season exhibit greater genetic diversity. There is significant linkage disequilibrium in each seasonal subsample and in the full sample. In contrast, no linkage disequilibrium is detected in the African sample. These results support the hypothesis that the population structure of P. falciparum in Venezuela, but not in Africa, is predominantly clonal. However, the impact of genetic recombination on Venezuelan P. falciparum seems higher than in parasitic species with long-term clonal evolution like Trypanosoma cruzi, the agent of Chagas' disease. The genetic structure of the Venezuelan samples is similar to that of Escherichia coli, a bacterium that propagates clonally, with occasional genetic recombination.
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In late 1994 and early 1995, Ebola (EBO) virus dramatically reemerged in Africa, causing human disease in the Ivory Coast and Zaire. Analysis of the entire glycoprotein genes of these viruses and those of other EBO virus subtypes has shown that the virion glycoprotein (130 kDa) is encoded in two reading frames, which are linked by transcriptional editing. This editing results in the addition of an extra nontemplated adenosine within a run of seven adenosines near the middle of the coding region. The primary gene product is a smaller (50-70 kDa), nonstructural, secreted glycoprotein, which is produced in large amounts and has an unknown function. Phylogenetic analysis indicates that EBO virus subtypes are genetically diverse and that the recent Ivory Coast isolate represents a new (fourth) subtype of EBO virus. In contrast, the EBO virus isolate from the 1995 outbreak in Kikwit, Zaire, is virtually identical to the virus that caused a similar epidemic in Yambuku, Zaire, almost 20 years earlier. This genetic stability may indicate that EBO viruses have coevolved with their natural reservoirs and do not change appreciably in the wild.
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This dissertation investigates China’s recent shift in its climate change policy with a refined discourse approach. Methodologically, by adopting a neo-Gramscian notion of hegemony, a generative definition of discourse and an ontological pluralist position, the study constructs a theoretical framework named “discursive hegemony” that identifies the “social forces” for enabling social change and focuses on the role of discursive mechanisms via which the forces operate and produce effects. The key empirical finding of this study was that it was a co-evolution of conditions that shaped the outcome as China’s climate policy shift. In examining the case, a before-after within-case comparison was designed to analyze the variations in the material, institutional, and ideational conditions, with methods including interviews, conventional narrative/text analysis and descriptive statistics. Specifically, changes in energy use, the structure of decision-making body, and the narratives about sustainable development reflected how the above three types of social force processed in China in the first few years of the 21st century, causing the economic development agenda to absorb the climate issue, and turning the policy frame for the latter from mainly a diplomatic matter to a potential opportunity for better-quality growth. With the discursive operation of the “Science-based development”, China’s energy policy has been a good example of the Chinese understanding of sustainability characterized by economic primacy, ecological viability and social green-engineering. This way of discursive evolution, however, is a double-edged sword that has pushed forward some fast, top-down mitigation measures on the one hand, but has also created and will likely continue creating social and ecological havoc on the other hand. The study makes two major contributions. First and on the empirical level, because China is an international actor that was not expected to cooperate on the climate issue according to major IR theories, this study would add one critical case to the studies on global (environmental) governance and the ideational approach in the IR discipline. Second and on the theory-building level, the model of discursive hegemony can be a causally deeper mode of explanation because it traces the process of co-evolution of social forces.
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This layer is a georeferenced raster image of the historic paper map entitled: Effigies ampli Regni auriferi Guineae in Africa siti, extensum inde ad insulis Atlanticis, vulgo dictis, de Cabo Verde : ad flumen Benin, us[que], ad cujus ripam sita est Regia urbs et magna Benin, at[que] inde ad promontorium Lopi Gonsalvi, delineata per S. Rovelascum, et politioribus lineamentis figurata per Lodovicum Texeram, protocosmographum Regis Hispaniarum ; Baptista Doetechomius sculpsit ; Carolus Allardt excudit. It was published by Carolus Allardt ca. 1690. Scale [ca. 1:8,000,000]. Covers portions of West and Central Africa. Map in Latin and Portuguese.The image inside the map neatline is georeferenced to the surface of the earth and fit to the World Miller Cylindrical projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, shoreline features, and more. Includes also illustrations and text.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.
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This paper develops a new underlying inflation gauge (UIG) for China which differentiates between trend and noise, is available daily and uses a broad set of variables that potentially influence inflation. Its construction follows the works at other major central banks, adopts the methodology of a dynamic factor model that extracts the lower frequency components as developed by Forni et al (2000) and draws on the experience of the People’s Bank of China in modelling inflation.
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Il presente elaborato nasce dalla volontà di far conoscere, attraverso una proposta di traduzione del primo capitolo, il libro del farmacista e traditerapeuta Pascal Nadembega, originario del Burkina Faso. Come indica il titolo stesso, il libro tratta della medicina tradizionale africana, nei suoi aspetti magici e scientifici. Il testo è anche pretesto per tracciare una breve panoramica storica della medicina in Africa, dalle origini al giorno d'oggi, con ostacoli e relative soluzioni appartenenti a ogni epoca. Nella proposta di traduzione si cerca di mantenere lo stile oralizzato tipico del francese delle popolazioni africane, con l'aggiunta di note a piè di pagina per facilitare la comprensione di culturemi. L'analisi del testo di partenza e il commento alla proposta di traduzione si propongono di studiare le difficoltà incontrate durante il processo di traduzione, nonché di metterle in relazione con la natura ibrida dell'argomento trattato dall'autore.
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Termites are the most important soil ecosystem engineers of semi-arid and arid habitats. They enhance decomposition processes as well as the subsequent mineralisation of nutrients by bacteria and fungi. Through their construction of galleries, nests and mounds, they promote soil turnover and influence the distribution of nutrients and also alter texture and hydrological properties of soils, thereby affecting the heterogeneity of their ecosystem. The main aim of the present thesis was to define the impact of termites on ecosys-tem functioning in a semi-arid ecosystem. In a baseline study, I assessed the diversity of termite taxa in relation to the amount of precipitation, the vegetation patterns and the land use systems at several sites in Namibia. Subsequently, I focussed on a species that is highly abundant in many African savannas, the fungus growing and mound building species Macro-termes michaelseni (Sjöstedt, 1914). I asked how this species influences the spatial hetero-geneity of soil and vegetation patterns. From repeated samplings at 13 sites in Namibia, I obtained 17 termite taxa of 15 genera. While the type of land use seems to have a minor effect on the termite fauna, the mean annual precipitation explained 96% and the Simpson index of vascular plant diversity 81% of the variation in taxa diversity. The number of termite taxa increased with both of these explanation variables. In contrast to former studies on Macrotermes mounds in several regions of Africa that I reviewed, soil analyses from M. michaelseni mounds in the central Namibian savanna revealed that they contain much higher nitrogen contents when compared to their parent material. Further analyses revealed that nitrate forms a major component of the nitrogen content in termite mounds. As nitrate solves easily in water, evaporation processes are most probably responsible for the transport of solved nitrates to the mound surface and their accumulation there. The analysed mounds in central Namibia contained higher sand propor-tions compared to the mounds of the former studies. Through the higher percentage of coarse and middle sized pores, water moves more easily in sandy soils compared to more clayey soils. In consequence, evaporation-driven nitrate accumulation can occur in the studied mounds at high rates. ff...
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The chemical index of alteration (CIA) and elemental ratios that are sensitive to chemical weathering, such as Ca/Ti, Na/Ti, Al/Ti, Al/Na, Al/K, and La/Sm, were analyzed for detrital sediments at Ocean Drilling Program Site 1148 from the northern South China Sea to reveal information of chemical weathering in the source regions during the early Miocene. High CIA values of ~80, coupled with high Al/Ti and Al/Na and low Na/Ti and Ca/Ti, are observed for the sediments at ~23 Ma, indicating a high chemical weathering intensity in the north source region, i.e., south China. This was followed by gradual decreases in Al/Ti, Al/Na, La/Sm, and Al/K ratios, as well as the CIA values, and increases in Ca/Ti and Na/Ti ratios. These records together with other paleoclimate proxies, such as black carbon d13C and benthic foraminifer d18O, give reliable information on the climate changes in south China. Our results show that the climate in south China was warm and humid in the early Miocene (~23 Ma) according to the chemical weathering records. The humidity in south China decreased from the early Miocene to Present with several fluctuations centering at approximately 15.7 Ma, 8.4 Ma, and 2.5 Ma, coincident with the global cooling since the middle Miocene. These climate changes implied that the summer east Asian monsoon has dramatically affected south China in the early Miocene, whereas the influence of the summer monsoon on this region has decreased continuously since that time, probably because of the intensification of the winter monsoon. Such an evolution for the east Asian monsoon is different from that for the Indian monsoon.
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Title from cover.