Evaluation of risk factors leading to soil destabilisation on the south coastal sandplain of Western Australia

The problems of wind erosion in part of the south coast of Western Australian sandplain area were described previously (Gorddard et al, 1981) with 7.3 per cent of cleared and 18.3 per cent of the cropped area showing evidence of sand blasting. Department of Agriculture trials have shown that the loss of the top four millimetres of top soil from pastured paddocks can reduce following crop yields by up to 20 per cent (Marsh and Carter, 1983). Animal production problems associated with wind erosion of soils have not been quantified, but a number of problems such as reduced carrying capacity and nutritional problems are seen as significant throughout the area. Farmer opinion suggests that high grazing pressures are a major contributing factor to wind erosion however Gorddard et al (1981) were unable to identify any empirical relationship between stocking rate, cropping practice and erosion risk

Synthesis and Structure of Two New (Guanidinate) Boron Dichlorides and their Attempted Conversion to Boron(I) Derivatives

To test the feasibility of the guanidinate architecture for the support of boron( I) carbene analogues the energy gap between the singlet and triplet states of the model compound, [Me(2)NC{N(Ph)}(2)B:] (7), has been probed by both DFT and second order Moller - Plesset (MP2) methods. The singlet state is calculated to be more stable than the triplet state by between 6.0 and 10.1 kcal mol(-1). The new (guanidinate)boron dichlorides [Ph(2)NC{N(Mes)(2)]BCl(2) (14) and [Ph(2)NC{N(Dipp)(2)]BCl(2) (15) have been prepared and characterized by single- crystal X-ray diffraction. Attempts to reduce 14 and 15 to the corresponding boron(I) species were not successful.National Science Foundation CHE-0240008Robert A. Welch Foundation F-0003Chemistr

The role of potential vorticity anomalies in the Somali Jet on Indian summer monsoon intraseasonal variability

The climate of the Indian subcontinent is dominated by rainfall arising from the Indian summer monsoon (ISM) during the summer season (June to September). Intraseasonal variability during the monsoon is characterized by periods of heavy rainfall interspersed by drier periods, known as active and break events respectively. Understanding and predicting such events is of vital importance for forecasting human impacts such as water resources. The Somali Jet is a key regional feature of this circulation. In the present study, we find that the spatial structure of Somali Jet potential vorticity (PV) anomalies varies considerably during active and break periods. Analysis of these anomalies shows a mechanism whereby sea surface temperature (SST) anomalies propagate north/northwestwards through the Arabian Sea, caused by a positive feedback loop joining anomalies in SST, convection, modification of PV by diabatic heating and mixing in the atmospheric boundary layer, wind stress curl, and upwelling processes. The feedback mechanism is consistent with observed coupled ocean-atmosphere system variability timescales of approximately 20 days. This research suggests that better understanding and prediction of monsoon subseasonal variability in the South Asian monsoon may be gained by analysis of the day-to-day dynamical evolution of PV in the Somali Jet

Factors Affecting Pre-Travel Health Seeking Behaviour and Adherence to Pre-Travel Health Advice: A Systematic Review.

BACKGROUND: Recent years have seen unprecedented growth in international travel. Travellers are at high risk for acquiring infections while abroad and potentially bringing these infections back to their home country. There are many ways to mitigate this risk by seeking pre-travel advice (PTA), including receiving recommended vaccinations and chemoprophylaxis, however many travellers do not seek or adhere to PTA. We conducted a systematic review to further understand PTA-seeking behaviour with an ultimate aim to implement interventions that improve adherence to PTA and reduce morbidity and mortality in travellers. METHODS: We conducted a systematic review of published medical literature selecting studies that examined reasons for not seeking PTA and non-adherence to PTA over the last ten years. 4484 articles were screened of which 56 studies met our search criteria after full text review. RESULTS: The major reason for not seeking or non-adherence to PTA was perceived low risk of infection while travelling. Side effects played a significant role for lack of adherence specific to malaria prophylaxis. CONCLUSIONS: These data may help clinicians and public health providers to better understand reasons for non-adherence to PTA and target interventions to improve travellers understanding of potential and modifiable risks. Additionally, we discuss specific recommendations to increase public health education that may enable travellers to seek PTA

Adaptive model-driven user interface development systems

Adaptive user interfaces (UIs) were introduced to address some of the usability problems that plague many software applications. Model-driven engineering formed the basis for most of the systems targeting the development of such UIs. An overview of these systems is presented and a set of criteria is established to evaluate the strengths and shortcomings of the state-of-the-art, which is categorized under architectures, techniques, and tools. A summary of the evaluation is presented in tables that visually illustrate the fulfillment of each criterion by each system. The evaluation identified several gaps in the existing art and highlighted the areas of promising improvement

Wind direction and proximity to larval sites determines malaria risk in Kilifi District in Kenya

Studies of the fine-scale spatial epidemiology of malaria consistently identify malaria hotspots, comprising clusters of homesteads at high transmission intensity. These hotspots sustain transmission, and may be targeted by malaria-control programmes. Here we describe the spatial relationship between the location of Anopheles larval sites and human malaria infection in a cohort study of 642 children, aged 1–10-years-old. Our data suggest that proximity to larval sites predict human malaria infection, when homesteads are upwind of larval sites, but not when homesteads are downwind of larval sites. We conclude that following oviposition, female Anophelines fly upwind in search for human hosts and, thus, malaria transmission may be disrupted by targeting vector larval sites in close proximity, and downwind to malaria hotspots

Indian summer monsoon onset forecast skill in the UK Met Office initialized coupled seasonal forecasting system (GloSea5-GC2)

Accurate and precise forecasting of the Indian monsoon is important for the socio-economic security of India, with improvements in agriculture and associated sectors from prediction of the monsoon onset. In this study we establish the skill of the UK Met Office coupled initialized global seasonal forecasting system, GloSea5-GC2, in forecasting Indian monsoon onset. We build on previous work that has demonstrated the good skill of GloSea5 at forecasting interannual variations of the seasonal mean Indian monsoon using measures of large-scale circulation and local precipitation. We analyze the summer hindcasts from a set of three springtime start-dates in late April/early May for the 20-year hindcast period (1992-2011). The hindcast set features at least fifteen ensemble members for each year and is analyzed using five different objective monsoon indices. These indices are designed to examine large and local-scale measures of the monsoon circulation, hydrological changes, tropospheric temperature gradient, or rainfall for single value (area-averaged) or grid-point measures of the Indian monsoon onset. There is significant correlation between onset dates in the model and those found in reanalysis. Indices based on large-scale dynamic and thermodynamic indices are better at estimating monsoon onset in the model rather than local-scale dynamical and hydrological indices. This can be attributed to the model's better representation of large-scale dynamics compared to local-scale features. GloSea5 may not be able to predict the exact date of monsoon onset over India, but this study shows that the model has a good ability at predicting category-wise monsoon onset, using early, normal or late tercile categories. Using a grid-point local rainfall onset index, we note that the forecast skill is highest over parts of central India, the Gangetic plains, and parts of coastal India - all zones of extensive agriculture in India. El Niño Southern Oscillation (ENSO) forcing in the model improves the forecast skill of monsoon onset when using a large-scale circulation index, with late monsoon onset coinciding with El Niño conditions and early monsoon onset more common in La Niña years. The results of this study suggest that GloSea5's ensemble-mean forecast may be used for reliable Indian monsoon onset prediction a month in advance despite systematic model errors