Leptospiral outer membrane proteins (OMPs) are highly conserved in different species, and play an essential role in the development of new immunoprotection and serodiagnosis strategies. The genes encoding LipL21, LipL32 and OmpL1 were cloned from the complete genome sequence of Leptospira interrogans serovar lai strain Lai and expressed in vitro. Sequence comparison analysis revealed that the t...

The aim of this article is to present a concept of using airborne laser scanning (LIDAR), with one scan only, to map defoliation as a forest health variable. The idea is to apply two independent algorithms on the LIDAR data set, to produce both actual and expected leaf area index (LAI) values for every cell in a grid over the area. LAI is estimated based on laser pulse penetration through the c...

To accurately estimate leaf area index (LAI) in mangrove areas, the selection of appropriate models and predictor variables is critical. However, there is a major challenge in quantifying and mapping LAI using multi-spectral sensors due to the saturation effects of traditional vegetation indices (VIs) for mangrove forests. WorldView-2 (WV2) imagery has proven to be effective to estimate LAI of ...

Long-term global datasets of the Leaf Area Index (LAI) are important for monitoring global vegetation dynamics and are an important input for Earth system models (ESM). The comparison of long-term datasets is based on two recently available datasets both derived from AVHRR (Advanced Very High Resolution Radiometer) time series. The LAI3g dataset is developed from the new improved third generati...

Abstract Background Fabry disease (FD) is a lysosomal storage that affects one or multiple organ systems and can cause left ventricular hypertrophy (LVH). FD mimic hypertrophic cardiomyopathy (HCM), clinicians occasionally miss the diagnosis of for HCM. The factors associated with FD-HCM misdiagnosis remain unclear. Purpose We sought to determine prevalence among patients LVH uncover misdiagnos...

Knowledge of temporal variations of Leaf Area Index (LAI) aids in understanding the climate-vegetation interaction of different vegetative systems. This information is amenable from high temporal remote sensing data. India has around 78.37 million hectare, accounting for 23.84% of the geographic area of the country under forest/tree cover. India has a diverse set of vegetation types ranging fro...

Estimating the contribution of forests to carbon sequestration is commonly done by applying forest growth models. Such models inherently use field observations, such as leaf area index (LAI), whereas relevant information is also available from remotely sensed images. The purpose of this study is to improve the LAI estimated from the physiological principles predicting growth (3-PG) model by com...

Leaf Area Index (LAI) is an important biophysical variable for characterizing the land surface vegetation. Global LAI product has been routinely produced from the MODerate resolution Imaging Spectroradiometer (MODIS) aboard the Terra and Aqua satellite platforms. However, the MODIS standard LAI product is not continuous both spatially and temporally. To fill the gaps and improve the quality, we...