10 research outputs found
The impact and perceived barriers menstruation present to football participation in amateur female footballers.
No full textThis study looked to determine the impact different stages of the menstrual cycle has on experienced football performance and exercise ability, and to identify the experienced barriers to football participation menstruation presents in amateur women footballers. An online survey, developed using piloting and expert peer review, was used. The inclusion criteria were non-professional, women currently experiencing regular menstrual cycles, aged 18 years playing 60 min football/week in the UK. Descriptive statistics were performed on quantitative data and thematic analysis of the open-ended questions asking participants to list any barriers they felt menstruation presents to playing football. A total of 127 surveys were included. The majority of the respondents were aged between 18-25 (89%) and Caucasian (83%) and competing at the regional/British Universities and Colleges Sport/London Universities Sport Leagues level (69%). Menstruation was reported to âneverâ limit football playing in 17% of respondents, âsometimesâ in 47%, ârarelyâ in 25% and âalwaysâ in 10% of respondents. The majority (73%) reported one or more barriers menstruation present to football participation. Following thematic analysis, 165 meaning units, 23 themes and seven categories were identified. Confidence and aerobic capacity/endurance were identified to be the aspects most negatively impacted during the pre-menstrual and menstrual stages. Confidence is likely to be negatively impacted due to the barriers identified. Thus, recommendations on how to reduce these through education of players and involved staff, at the club and the FA level have been made
Wrapped Interferograms Enhanced By MuLSAR Method: Applications And Comparison To Other Methods
No full textInternational audienceSAR interferometry (InSAR) is a powerful technique to monitor surface displacements. However, InSAR suffers from numerous noise sources such as temporal and geometric decorrelation of images. In this study, we apply the MuLSAR method [1] to produce robust denoised wrapped phase time series from the combination of wrapped interferograms, using the redundancy of interferograms. It is particularly efficient in high temporal decorrelation areas. Our method has been applied to ENVISAT time series suffering from diverse temporal decorrelation in three regions: the Himalaya, the Levantine Fault in Lebanon and Western Pakistan. The interferograms are efficiently enhanced for every time series. First, we show that a criterion called colinearity is more efficient than the coherence to quantify wrapped phase quality. The performance of MuLSAR method is demonstrated as it enhances post-processing steps (DEM residual compensation, unwrapping). It is finally compared to another method of wrapped time series enhancement, SqueeSAR [2]
Mobiliser la sociologie pour une intervention de santé publique attentive au contexte local
No full textWrapped Interferograms Enhanced By MuLSAR Method: Applications And Comparison To Other Methods
No full textInternational audienceSAR interferometry (InSAR) is a powerful technique to monitor surface displacements. However, InSAR suffers from numerous noise sources such as temporal and geometric decorrelation of images. In this study, we apply the MuLSAR method [1] to produce robust denoised wrapped phase time series from the combination of wrapped interferograms, using the redundancy of interferograms. It is particularly efficient in high temporal decorrelation areas. Our method has been applied to ENVISAT time series suffering from diverse temporal decorrelation in three regions: the Himalaya, the Levantine Fault in Lebanon and Western Pakistan. The interferograms are efficiently enhanced for every time series. First, we show that a criterion called colinearity is more efficient than the coherence to quantify wrapped phase quality. The performance of MuLSAR method is demonstrated as it enhances post-processing steps (DEM residual compensation, unwrapping). It is finally compared to another method of wrapped time series enhancement, SqueeSAR [2]
Wrapped Interferograms Enhanced By MuLSAR Method: Applications And Comparison To Other Methods
No full textInternational audienceSAR interferometry (InSAR) is a powerful technique to monitor surface displacements. However, InSAR suffers from numerous noise sources such as temporal and geometric decorrelation of images. In this study, we apply the MuLSAR method [1] to produce robust denoised wrapped phase time series from the combination of wrapped interferograms, using the redundancy of interferograms. It is particularly efficient in high temporal decorrelation areas. Our method has been applied to ENVISAT time series suffering from diverse temporal decorrelation in three regions: the Himalaya, the Levantine Fault in Lebanon and Western Pakistan. The interferograms are efficiently enhanced for every time series. First, we show that a criterion called colinearity is more efficient than the coherence to quantify wrapped phase quality. The performance of MuLSAR method is demonstrated as it enhances post-processing steps (DEM residual compensation, unwrapping). It is finally compared to another method of wrapped time series enhancement, SqueeSAR [2]
Wrapped Interferograms Enhanced By MuLSAR Method: Applications And Comparison To Other Methods
No full textInternational audienceSAR interferometry (InSAR) is a powerful technique to monitor surface displacements. However, InSAR suffers from numerous noise sources such as temporal and geometric decorrelation of images. In this study, we apply the MuLSAR method [1] to produce robust denoised wrapped phase time series from the combination of wrapped interferograms, using the redundancy of interferograms. It is particularly efficient in high temporal decorrelation areas. Our method has been applied to ENVISAT time series suffering from diverse temporal decorrelation in three regions: the Himalaya, the Levantine Fault in Lebanon and Western Pakistan. The interferograms are efficiently enhanced for every time series. First, we show that a criterion called colinearity is more efficient than the coherence to quantify wrapped phase quality. The performance of MuLSAR method is demonstrated as it enhances post-processing steps (DEM residual compensation, unwrapping). It is finally compared to another method of wrapped time series enhancement, SqueeSAR [2]
