A Multifidelity Framework for Wind Speed Data

Monitoring wind speed is essential to develop offshore wind farms. However, recorded wind data often lack the necessary accuracy for understanding the profitability of the wind farm, and even when they exist, they are scarce in time or space. Intuitively, using multiple data sources could balance the trade-off between scarcity and accuracy. A multi-fidelity framework in the form of the autoregressive Gaussian process is introduced to analyze wind speed reanalysis data fusing datasets of different reliability and resolution to provide a more accurate wind speed data product

State space functional principal component analysis to identify spatiotemporal patterns in remote sensing lake water quality

Satellite remote sensing can provide indicative measures of environmental variables that are crucial to understanding the environment. The spatial and temporal coverage of satellite images allows scientists to investigate the changes in environmental variables in an unprecedented scale. However, identifying spatiotemporal patterns from such images is challenging due to the complexity of the data, which can be large in volume yet sparse within individual images. This paper proposes a new approach, state space functional principal components analysis (SS-FPCA), to identify the spatiotemporal patterns in processed satellite retrievals and simultaneously reduce the dimensionality of the data, through the use of functional principal components. Furthermore our approach can be used to produce interpolations over the sparse areas. An algorithm based on the alternating expectation–conditional maximisation framework is proposed to estimate the model. The uncertainty of the estimated parameters is investigated through a parametric bootstrap procedure. Lake chlorophyll-a data hold key information on water quality status. Such information is usually only available from limited in situ sampling locations or not at all for remote inaccessible lakes. In this paper, the SS-FPCA is used to investigate the spatiotemporal patterns in chlorophyll-a data of Taruo Lake on the Tibetan Plateau, observed by the European Space Agency MEdium Resolution Imaging Spectrometer

Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support

Statistical downscaling has been developed for the fusion of data of different spatial support. However, environmental data often have different temporal support, which must also be accounted for. This paper presents a novel method of nonparametric statistical downscaling, which enables the fusion of data of different spatiotemporal support through treating the data at each location as observations of smooth functions over time. This is incorporated within a Bayesian hierarchical model with smoothly spatially varying coefficients, which provides predictions at any location or time, with associated estimates of uncertainty. The method is motivated by an application for the fusion of in situ and satellite remote sensing log(chlorophyll-a) data from Lake Balaton, in order to improve the understanding of water quality patterns over space and time

Exploring Pathways into and out of Amphetamine Type Stimulant use at Critical Turning Points: A Qualitative Interview Study

Amphetamine Type Stimulants (ATS) are increasingly used drugs globally. There is limited evidence about what shapes ATS use at critical turning points located within drug using pathways. Using turning point theory, as part of a life course approach, the ATTUNE study aimed to understand which social, economic and individual factors shape pathways into and out of ATS use. Qualitative, semi-structured interviews (n=70) were undertaken with individuals who had used ATS, or who had been exposed to them at least once in their lifetime. Our findings show that turning points for initiation were linked to pleasure, curiosity, boredom and declining mental health; increased use was linked to positive effects experienced at initiation and multiple life-stressors, often leading to more intense use. Decreased use was prompted by pivotal events (e.g. imprisonment) and sustained through continued wellbeing, day-to-day structure, and non-using social networks. We argue that the heterogeneity of these individuals challenges stereotypes of stimulant use allied to nightclubs and ‘hedonism’. Further, even at critical turning points for recovery, the use of services for problematic ATS consumption was low because users prioritised their alcohol or opioid use when seeking help. There is a need to develop service provision, training, and better outreach to individuals who need support at critical turning points

Attitudes to antipsychotic drugs and their side effects: a comparison between general practitioners and the general population

BACKGROUND: Attitudes towards antipsychotic medication play an important part in the treatment for schizophrenia and related disorders. We aimed measuring general practitioners' attitudes to antipsychotic drugs and their adverse side effects and comparing these with the attitudes of the general population. METHODS: Analysis and comparison of two representative samples, one comprising 100 General Practitioners (GPs), the other 791 individuals randomly selected from the general population. The setting was the German speaking cantons of Switzerland. RESULTS: General practitioners have significantly more positive attitudes towards anti-psychotic drugs than the general public. They reject widespread prejudices about the use of anti-psychotic medication significantly more than the general population. In particular the risk of dependency was assessed as 'low' by GP's (80%), in contrast to only 18% of the general population sample. In no instance did a majority of the GPs advise not tolerating any of the 10 possible adverse effects presented in this study. This is in marked contrast to the general population sample, where a majority recommended discontinuation for movement disorder (63%), strong tremor (59%), risk of dependency (55%) and feelings of unrest (54%). CONCLUSION: As well as effective management of side-effects being a vital aspect of patient and carer education, prescribing doctors need to be aware that their mentally ill patients are likely to be confronted with extremely negative public attitudes towards antipsychotic medication and with strong pressures to stop taking their medication in the event of side-effects