BACKGROUND Traditionally text mention normalization corpora have normalized concepts to single ontology identifiers ("pre-coordinated concepts"). Less frequently, normalization corpora have used concepts with multiple identifiers ("post-coordinated concepts") but the additional identifiers have been restricted to a defined set of relationships to the core concept. This approach limits the abili...

We present a great improvement while performing semi-supervised learning tasks from training data sets when only a small fraction of the data pairs is labeled. In particular, we propose a novel decision strategy based on normalized model outputs. We give the explanation why the normalization step helps. The paper compares performances of two popular semi-supervised approaches (Consistency Metho...

abstract soil temperature is one of the key parameters affecting most hydrologic and agricultural processes. therefore, its measurement and prediction is very crucial. so far, the statistical regression methods have been used for estimation of soil temperature for specific location encountering with lack or shortage of data. in this work, soil temperature data are estimated at six different dep...

climate is a complex system which is changing mainly due to the increase of greenhouse gases. because of the importance of climate change and the effects it can have on water resources, in recent years, this topic has been taken into consideration for different basins on earth. the objective of this study is to investigate the effects of climate change and forecasting meteorological variables o...

Abstract Introduction: Cutaneous leishmaniasis is recognized as one of the important neglected parasitic diseases worldwide. The present study aimed to determine the epidemiological patterns of cutaneous leishmaniasis in a period of ten years in Yazd province in Iran. Materials & Methods: This ecological study was performed on 5784 recorded cases within 2004-2013in health center...

Motivation: Gene-expression data obtained from high throughput technologies are subject to various sources of noise and accordingly the raw data are pre-processed before formally analyzed. Normalization of the data is a key pre-processing step, since it removes systematic variations across arrays. There are numerous normalization methods available in the literature. Based on our experience, in ...

BACKGROUND The evaluation of exposure to ambient temperatures in epidemiological studies has generally been based on records from meteorological stations which may not adequately represent local temperature variability. Here we propose a spatially explicit model to estimate local exposure to temperatures of large populations under various meteorological conditions based on satellite and meteoro...