IDENTIFYING POLICY RELEVANT VARIABLES FOR REDUCING CHILDHOOD MALNUTRITION IN RURAL MALI

The paper uses OLS and Logit analyses of household survey data to identify and compare determinants of the health and nutritional status of Malian children living in three distinct agricultural production zones (cotton, millet/sorghum, and irrigated rice). These preliminary results suggest that improvements in health center coverage (e.g., reducing the average distance to a health center from 20 to 10 kilometers) and more diversity in complementary foods after six months of age (two or more different foods during a 24 hour period) have the potential to significantly improve standardized height for age scores. Other factors of importance are mother's incomes, prenatal visits, and parents' standardized heights (reflecting either genetic traits or generations of poor nutrition). Recommendations for reducing Mali's high prevalence of malnutrition include the need to raise awareness of the problem among rural populations. Because rural health workers, local administrators, and parents do not recognize malnutrition as a problem, newly empowered decentralized governments will need some external assistance to get the issue on local agendas and identify potential solutions.Food Consumption/Nutrition/Food Safety,

A Strategic Approach to Agricultural Research Program Planning in Sub-Saharan Africa

Research and Development/Tech Change/Emerging Technologies, Downloads May 2008-July 2009: 13,

A Strategic Approach to Agricultural Research Program Planning in Sub-Saharan Africa

Recent studies have shown that agricultural research can have high payoffs in Africa, but impact depends on how well technology fits with evolving needs and capacity in the agricultural sector and the rest of the economy. Structural adjustment policies (e.g., market liberalization, currency devaluation) and political change are transforming user demands for new technology and the economic environment in which technology must perform. The challenge is how to design agricultural research as a strategic input to promote broad-based economic growth, structural transformation, and food security in the increasingly market-driven, but fragile, economies of Africa.Food Security, Food Policy, Agricultural Research, Research and Development/Tech Change/Emerging Technologies, Downloads May 2008-July 2009: 44, Q18,

Compartmental pharmacokinetics of nefopam during mild hypothermia

Background Nefopam is a non-opioid, non-steroidal, centrally acting analgesic which has an opioid-sparing effect. It also reduces the threshold (triggering core temperature) for shivering without causing sedation or respiratory depression. The drug is therefore useful as both an analgesic and to facilitate induction of therapeutic hypothermia. However, compartmental pharmacokinetics during hypothermia are lacking for nefopam. Methods We conducted a prospective, randomized, blinded study in eight volunteers. On two different occasions, one of two nefopam concentrations was administered and more than 30 arterial blood samples were gathered during 12 h. Plasma concentrations were determined using gas chromatography/mass spectrometry to investigate the pharmacokinetics of nefopam with non-linear mixed-effect modelling. Results A two-compartment mammillary model with moderate inter-individual variability and inter-occasional variability independent of covariates was found to best describe the data [mean (se): V1=24.13 (2.8) litre; V2=183.34 (13.5) litre; Clel=0.54 (0.07) litre min−1; Cldist=2.84 (0.42) litre min−1]. Conclusions The compartmental data set describing a two-compartment model was determined and could be implemented to drive automated pumps. Thus, work load could be distributed to a pump establishing and maintaining any desired plasma concentration deemed necessary for a treatment with therapeutical hypothermi

Uma Abordagem Estratégica Sobre e Planificação de Programas de Pesquisa Agrícola na África Sub-Sahariana

Crop Production/Industries, Downloads July 2008-June 2009: 5,

Une approche stratégique pour la planification du programme de recherche agricole en Afrique sub-saharienne

Research and Development/Tech Change/Emerging Technologies, Downloads July 2008-June 2009: 6,

Une approche stratégique pour la planification du programme de recherche agricole en Afrique sub-saharienne

Des études récentes ont montré que la recherche agricole en Afrique peut avoir une rentabilité élevée, mais son impact dépend de l'adaptabilité des nouvelles technologies aux capacités et aux besoins changeants du secteur agricole et du reste de l'économie. Les politiques d'ajustement structurel (ex : la libéralisation des marchés et la dévaluation monétaire) et les changements politiques sont en train de transformer la demande de nouvelles technologies et l'environnement économique au sein duquel ces technologies doivent opérer. Le défi est de concevoir la recherche agricole comme un intrant stratégique qui encourage une croissance économique à base élargie, la transformation structurelle de l'économie et la sécurité alimentaire dans des économies africaines de plus de plus orientées vers la production pour la commercialisation mais qui restent encore fragiles.food security, food policy, agricultural research, Research and Development/Tech Change/Emerging Technologies, Downloads June 2008-June 2009: 11, Q18,

A Comparison of Two Shallow Water Models with Non-Conforming Adaptive Grids: classical tests

In an effort to study the applicability of adaptive mesh refinement (AMR) techniques to atmospheric models an interpolation-based spectral element shallow water model on a cubed-sphere grid is compared to a block-structured finite volume method in latitude-longitude geometry. Both models utilize a non-conforming adaptation approach which doubles the resolution at fine-coarse mesh interfaces. The underlying AMR libraries are quad-tree based and ensure that neighboring regions can only differ by one refinement level. The models are compared via selected test cases from a standard test suite for the shallow water equations. They include the advection of a cosine bell, a steady-state geostrophic flow, a flow over an idealized mountain and a Rossby-Haurwitz wave. Both static and dynamics adaptations are evaluated which reveal the strengths and weaknesses of the AMR techniques. Overall, the AMR simulations show that both models successfully place static and dynamic adaptations in local regions without requiring a fine grid in the global domain. The adaptive grids reliably track features of interests without visible distortions or noise at mesh interfaces. Simple threshold adaptation criteria for the geopotential height and the relative vorticity are assessed.Comment: 25 pages, 11 figures, preprin

The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability

The Earth System Prediction Suite (ESPS) is a collection of flagship U.S. weather and climate models and model components that are being instrumented to conform to interoperability conventions, documented to follow metadata standards, and made available either under open source terms or to credentialed users.The ESPS represents a culmination of efforts to create a common Earth system model architecture, and the advent of increasingly coordinated model development activities in the U.S. ESPS component interfaces are based on the Earth System Modeling Framework (ESMF), community-developed software for building and coupling models, and the National Unified Operational Prediction Capability (NUOPC) Layer, a set of ESMF-based component templates and interoperability conventions. This shared infrastructure simplifies the process of model coupling by guaranteeing that components conform to a set of technical and semantic behaviors. The ESPS encourages distributed, multi-agency development of coupled modeling systems, controlled experimentation and testing, and exploration of novel model configurations, such as those motivated by research involving managed and interactive ensembles. ESPS codes include the Navy Global Environmental Model (NavGEM), HYbrid Coordinate Ocean Model (HYCOM), and Coupled Ocean Atmosphere Mesoscale Prediction System (COAMPS); the NOAA Environmental Modeling System (NEMS) and the Modular Ocean Model (MOM); the Community Earth System Model (CESM); and the NASA ModelE climate model and GEOS-5 atmospheric general circulation model