Recently, researches of parallel distributed computation are getting more important. Especially, massively parallel systems are studied with enthusiasm, and many topologies have been proposed. Since multiple faulty elements are expected in a massively parallel system, fault-tolerant routing is also studied eagerly for communication avoiding the faulty elements [4,6,8]. In this study, we focus o...

OBJECTIVES The current study examined the extent to which symptom improvement and full return to work occurs among clinically burnt-out employees and what the influence of concurring sleep problems is with respect to health recovery. METHODS Fifty-nine burnt-out employees on extended sick leave assessed their symptoms for 2 weeks using an electronic diary. After 6 months, the measurements wer...

Lichens associated with old forest are commonly assumed to be negatively affected by tree logging or natural disturbances. However, in this study performed in a spruce-dominated sylvopastoral landscape in the Swiss Jura Mountains, we found that genetic diversity of the epiphytic old-forest lichen Lobaria pulmonaria depends on the type of disturbance. We collected 923 thalli from 41 sampling plo...

Wildfires are a major problem in Portugal. Since 1980 an area equivalent to 3/5 of the forested surface has burned. The aim of the study was to assess the potential impact of regional climate change on wildfires in Portugal using an appropriate Burnt Area Model (BAM). Based on multiple regression analysis, the model was able to estimate the decimal logarithm of the monthly burnt areas in July a...

Meeting citizens’ requirements economically and efficiently is the most important objective of Smart Cities. As a matter of fact, they are considered a key concept both for future Internet and ICT. It is expected that a wide range of services will be made available for residential users (e.g.: intelligent transportation systems, e-government, e-banking, e-commerce, smart management of energy de...

The explosion of online user-generated content (UGC) and the development of big data analysis provide a new opportunity and challenge to understand and respond to public opinions in the G2C e-government context. To better understand semantic searching of public comments on an online platform for citizens’ opinions about urban affairs issues, this paper proposed an approach based on the latent D...