The authors bring back 70 cases of pericarditis brought together between 2012 and 2017 in the service of surgery B of the CHU Point G and to the Hospital Mother-Child, the Luxembourg in Mali. The average age of the pa...The authors bring back 70 cases of pericarditis brought together between 2012 and 2017 in the service of surgery B of the CHU Point G and to the Hospital Mother-Child, the Luxembourg in Mali. The average age of the patients is 31.5 years with extremes of 2 years and 84 years. The tubercular etiology widely comes to mind with 49 cases. The diagnostic contributions of the echocardiography are analyzed. The accent is put on good tolerance hemodynamic of the tubercular pericarditis. The forecast depends essentially on the etiology and on the diagnostic delay;indeed the tamponade pericardium can be inaugural or complicated;the evolution of the pericarditis is burdened of a heavy mortality (4.2% in our series). On the other hand the passage in the chronicity complicates essentially pericarditis seen late (8.6% in our series).展开更多
Urbanization in recent years plays an important role in increase in impervious areas with reducing in vegetation cover and pervious areas of natural landscape. This leads to a rise in temperature of urban areas, by se...Urbanization in recent years plays an important role in increase in impervious areas with reducing in vegetation cover and pervious areas of natural landscape. This leads to a rise in temperature of urban areas, by several degrees particularly at night [1,2]. A novel geospatial approach has been adopted to determine the maximum temperature areas (hot spots) over Kamrup Metro District of Assam, which is a gateway for seven neighboring north eastern states of India. The G statistics have been calculated for detecting the presence of hot spot or cold spot over the entire study area which is a new approach in urban heat island studies. The resultant z-scores and p-values show the pixels with either high or low values cluster spatially. For statistically significant positive z-scores, the larger the z-score is, the more intense the clustering of high values (hot spot) and vice versa. Land Surface Temperature (LST) anomaly values and percentage of Impervious Surface Area (ISA) along with climatic data are used to conform the hot spot location. It is one of the densely populated areas with more commercial pockets thereby giving rise to anthropogenic heat discharge which accelerates the heat island phenomenon. Incorporation of socio-economic survey data as well as certain biophysical parameters can be used to know about the cause and future impact of urbanization.展开更多
文摘The authors bring back 70 cases of pericarditis brought together between 2012 and 2017 in the service of surgery B of the CHU Point G and to the Hospital Mother-Child, the Luxembourg in Mali. The average age of the patients is 31.5 years with extremes of 2 years and 84 years. The tubercular etiology widely comes to mind with 49 cases. The diagnostic contributions of the echocardiography are analyzed. The accent is put on good tolerance hemodynamic of the tubercular pericarditis. The forecast depends essentially on the etiology and on the diagnostic delay;indeed the tamponade pericardium can be inaugural or complicated;the evolution of the pericarditis is burdened of a heavy mortality (4.2% in our series). On the other hand the passage in the chronicity complicates essentially pericarditis seen late (8.6% in our series).
文摘Urbanization in recent years plays an important role in increase in impervious areas with reducing in vegetation cover and pervious areas of natural landscape. This leads to a rise in temperature of urban areas, by several degrees particularly at night [1,2]. A novel geospatial approach has been adopted to determine the maximum temperature areas (hot spots) over Kamrup Metro District of Assam, which is a gateway for seven neighboring north eastern states of India. The G statistics have been calculated for detecting the presence of hot spot or cold spot over the entire study area which is a new approach in urban heat island studies. The resultant z-scores and p-values show the pixels with either high or low values cluster spatially. For statistically significant positive z-scores, the larger the z-score is, the more intense the clustering of high values (hot spot) and vice versa. Land Surface Temperature (LST) anomaly values and percentage of Impervious Surface Area (ISA) along with climatic data are used to conform the hot spot location. It is one of the densely populated areas with more commercial pockets thereby giving rise to anthropogenic heat discharge which accelerates the heat island phenomenon. Incorporation of socio-economic survey data as well as certain biophysical parameters can be used to know about the cause and future impact of urbanization.
