This study was conducted to develop fundamental relationships between soil properties from three representative Florida soil orders and their spectral characteristics. The ultimate goal of this work is to develop a real–time soil property sensor for use in effective farm management. A total of 270 samples collected from the three representative soil orders (Alfisol, Entisol, and Ultisol) in Flo...

Recent developments allow high-pressure mercury intrusion experiments to be performed under reservoir-representative confining stress. NMR relaxation measurements on core samples are increasingly being used in addition to mercury intrusion data since the two techniques yield complementary information about the pore network. Integration of the different measurement techniques result in a more de...

STUDY OBJECTIVE The aim was to estimate the dose-response relations of height and respiratory symptoms to passive smoking in children aged 5-11 years. DESIGN The study was an analysis of existing observational studies, comprising three samples: English representative; English inner city; Scottish representative. SETTING Primary schools (children aged 5-11 years). PARTICIPANTS The study po...

Marine megafauna plays an important functional role in marine ecosystems as top predators but are threatened by a wide range of anthropogenic activities. Bycatch, the incidental capture non-targeted species commercial and recreational fisheries, is particular concern for small cetacean species, such dolphins porpoises. In North-East Atlantic, common dolphin ( Delphinus delphis , Linné 1758) byc...

When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with their true class. Acquiring such training sets is difficult and costly. One way to alleviate this problem is to enlarge training sets by generating artificial, synthetic samples. Of course this immediately raises many...

Labeling training data is quite time-consuming but essential for supervised learning models. To solve this problem, the active learning has been studied and applied to select the informative and representative data points for labeling. However, during the early stage of experiments, only a small number (or none) of labeled data points exist, thus the most representative samples should be select...

Bioinformatics and the Internet keep generating graph data with thousands of nodes. Most traditional graph algorithms for data analysis are too slow for analysing these large graphs. One way to work around this problem is to sample a smaller ‘representative subgraph’ from the original large graph. Existing representative subgraph sampling algorithms either randomly select sets of nodes or edges...

Supplementary Figure 1: Isotype control of NKG2DL on medium treated PAM2.12 cells. Representative histogram profiles of medium treated PAM2.12 cells stained with isotype control or Mult-1, Rae-1 and H60 specific Ab. Samples were analyzed by FACS.