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Cassava production in the central, southern and eastern parts of Africa is under threat by cassava brown streak virus
Using an ecological momentary assessment to evaluate your digital health product.
A model for predicting long term changes in coastal landscapes. This study created a framework to predict how coastal environments will change as a result of natural processes and man-made interventions.
This project developed better ways of estimating how often extreme water levels might happen by combining all the factors that cause them.
This study took place at 5 locations in Uganda
Forecasts for the UK economy is a monthly comparison of independent forecasts.
Developing and testing a new method that produces improved rainfall forecasts to help our prediction of flood events.
An overview of levee and soil based dam breaches to identify future research needs.
Find out what you must include in an air dispersion modelling report to get an environmental permit.
The authors conducted studies in cassava in order to understand the pattern of competition
Research into people's attitudes and behaviour towards retirement planning.
Paper prepared by Professor Julia Gog, Cambridge University, predicting transmission reduction by non-pharmaceutical interventions.
This project explored the best ways of predicting how cliffs will erode and provided guidance on the best way of managing soft cliffs for conservation.
Monitoring abundance is essential for vector management, but it is often only possible in a fraction of managed areas
Cassava faces severe yield loses due to 2 viral diseases: cassava brown streak disease (CBSD) and cassava mosaic disease
Information and minutes for OSPAR, REACH and research groups and forums for offshore oil and gas.
A cross-sectional study in 2014 based on the compiled reports from past 5 years from all the 30 districts of the state
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