Life service information plays an important role in people’s life, such as weather conditions, so the study of how to get life service information has important significance. This paper put forward a question processing method called “integrated semantic algorithm” in Q&A System of life service information. The new algorithm was based on the semantic web, word order similarity algorithm and the...

Then detection and identification of extreme weather events in large-scale climate simulations is an important problem for risk management, informing governmental policy decisions and advancing our basic understanding of the climate system. Recent work has shown that fully supervised convolutional neural networks (CNNs) can yield acceptable accuracy for classifying well-known types of extreme w...

Introduction: Coronary artery disease is the most common type of cardiovascular disease. Despite the increasing number of patients with coronary artery disease, the lived experiences of these patients have remained unknown. The purpose of the study was to understand the lived experiences of elderly patients with coronary artery disease. Methods: This qualitative research was conducted usin...

Mutations that increase the longevity of the soil nematode Caenorhabditis elegans could define genes involved in a process specific for aging. Alternatively, these mutations could reduce animal metabolic rate and increase longevity as a consequence. In ectotherms, longevity is often negatively correlated with metabolic rate. Consistent with these observations, environmental conditions that redu...

North part of Japan is one of the heaviest snowfall regions in winter. In a certain case, wet snow accretes to civil engineering structure such as power lines. There is a demand for the prediction that when the snow accretion will occur. General weather forecast is not enough resolution and meteorological variable for estimating snow accretion. By calculating weather condition on our own accoun...