5,601 research outputs found
Outcome evaluation of research for development work conducted in Ghana and Sri Lanka under the Resource, Recovery and Reuse (RRR) subprogram of the CGIAR Research Program on Water, Land and Ecosystems (WLE).
This is the main report of an external evaluation of the Resource Recovery and Reuse Flagship of the Water Land and Ecosystems (WLE) CGIAR Research Program. WLE commissioned the study. The Evaluators interviewed researchers and partners in two countries, Ghana and Sri Lanka, and in Ghana visited two sites. They also interviewed key international partners and analyzed a wide range of documents, reports and publications. The evaluation was focused on understanding how and in what ways the research and other activities carried out by IWMI and supported by WLE contributed to the outcomes. In essence, the purpose was to understand the specific impact pathways from research to outputs and outcomes
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Towards evaluation design for smart city development
Smart city developments integrate digital, human, and physical systems in the built environment. With growing urbanization and widespread developments, identifying suitable evaluation methodologies is important. Case-study research across five UK cities - Birmingham, Bristol, Manchester, Milton Keynes and Peterborough - revealed that city evaluation approaches were principally project-focused with city-level evaluation plans at early stages. Key challenges centred on selecting suitable evaluation methodologies to evidence urban value and outcomes, addressing city authority requirements. Recommendations for evaluation design draw on urban studies and measurement frameworks, capitalizing on big data opportunities and developing appropriate, valid, credible integrative approaches across projects, programmes and city-level developments
Research and training in the Olifants and Limpopo basins of southern Africa
L'article décrit la participation des chercheurs français, détachés à l'Institut international de la gestion des ressources en eau (IWMI) par le ministÚre français de l'Agriculture, aux travaux concernant les bassins hydrographiques de référence Olifants et Limpopo, entrepris dans le cadre du Programme pour relever les défis « Eau et alimentation ». Les scientifiques français mis à la disposition de l'IWMI ne sont pas seulement investis dans les dimensions économiques, géographiques et agronomiques de ces programmes de recherche et de formation, ils contribuent également à la coordination des différents programmes dans les bassins hydrographiques et à l'amélioration de leur coordination. / This paper describes the contribution of the French researchers seconded to International Water Management Institute (IWMI) by the French Ministry of Agriculture in the Olifants and Limpopo benchmark basins of the Challenge Program on Water and Food. The French researchers made available to IWMI are not only involved in the economic, geographic and agronomic aspects of these projects, but also participate in coordinating and developing synergy between different projects in the basins.GESTION DE L'EAU;RECHERCHE;FORMATION PROFESSIONNELLE;AFRIQUE DU SUD;RESEARCH;TRAINING;WATER MANAGEMENT;SOUTHERN AFRICA
Mathematical modeling of irrigation canal systems. Part I - Presentation of the "Mistral-Simutra" software package; Part II - Application of "Mistral - Simutra" to the Kalankuttiya branch canal (Mahaweli System H) Sri Lanka
Mathematical models / Computer software / Canal construction / Simulation models / Sri Lanka / Mahaweli Project / Kalankuttiya
An overview of the hydrology of the Zayandeh Rud Basin
River basins / Hydrology / Water use / Reservoirs / Water balance / Climate / Irrigation systems / Iran / Esfahan Province / Zayandeh Rud Basin / Chadegan Reservoir
Innovative approaches to agricultural water use for improving food security in Sub- Saharan Africa
Irrigated farming / Water use / Food security / Water resources / Water supply / Rain / Water harvesting / Wetlands / Food production / Groundwater management / Urbanization / Recycling / Effluents / Waste waters / Water reuse / Water demand / Crop production
Social disparities in heart disease risk and survivor bias among autoworkers: an examination based on survival models and g-estimation.
ObjectivesTo examine gender and racial disparities in ischaemic heart disease (IHD) mortality related to metalworking fluid exposures and in the healthy worker survivor effect.MethodsA cohort of white and black men and women autoworkers in the USA was followed from 1941 to 1995 with quantitative exposure to respirable particulate matter from water-based metalworking fluids. Separate analyses used proportional hazards models and g-estimation.ResultsThe HR for IHD among black men was 3.29 (95% CI 1.49 to 7.31) in the highest category of cumulative synthetic fluid exposure. The HR for IHD among white women exposed to soluble fluid reached 2.44 (95% CI 0.96 to 6.22). However, no increased risk was observed among white men until we corrected for the healthy worker survivor effect. Results from g-estimation indicate that if white male cases exposed to soluble or synthetic fluid had been unexposed to that fluid type, then 1.59 and 1.20â
years of life would have been saved on average, respectively.ConclusionsWe leveraged the strengths of two different analytic approaches to examine the IHD risks of metalworking fluids. All workers may have the same aetiological risk; however, black and female workers may experience more IHD from water-based metalworking fluid exposure because of a steeper exposure-response or weaker healthy worker survivor effect
Nurses Alumni Association Bulletin, Fall 2008
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Centered Partition Process: Informative Priors for Clustering
There is a very rich literature proposing Bayesian approaches for clustering
starting with a prior probability distribution on partitions. Most approaches
assume exchangeability, leading to simple representations in terms of
Exchangeable Partition Probability Functions (EPPF). Gibbs-type priors
encompass a broad class of such cases, including Dirichlet and Pitman-Yor
processes. Even though there have been some proposals to relax the
exchangeability assumption, allowing covariate-dependence and partial
exchangeability, limited consideration has been given on how to include
concrete prior knowledge on the partition. For example, we are motivated by an
epidemiological application, in which we wish to cluster birth defects into
groups and we have prior knowledge of an initial clustering provided by
experts. As a general approach for including such prior knowledge, we propose a
Centered Partition (CP) process that modifies the EPPF to favor partitions
close to an initial one. Some properties of the CP prior are described, a
general algorithm for posterior computation is developed, and we illustrate the
methodology through simulation examples and an application to the motivating
epidemiology study of birth defects
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