introduction no2 is not only a potential air pollutant in urban and industrial environments but also a precursor for smog of urban environment that is another ozone pollutant as well. some of the urban environments in iran have high tropospheric and near surface no2 which requires research attentions especially in these years. that is the issue of concern in the present study using satellite da...

The burden of cervical cancer is increasing in Vietnam in the recent years, infection with high risk HPV being the cause. This study aimed to examine the prevalence of HPV and the distribution of HPV specific types among the general population in 5 big cities in Vietnam. Totals of 1500 women in round 1 and 3000 in round 2 were interviewed and underwent gynecological examination. HPV infection s...

background: air pollution and concerns about health impacts have been raised in metropolitan cities like tehran. trend and prediction of air pollutants can show the effectiveness of strategies for the management and control of air pollution. artificial neural network (ann) technique is widely used as a reliable method for modeling of air pollutants in urban areas. therefore, the aim of current ...

Today analyzing seismicity hazard urban different areas is critical and inevitable due to develop and to expand cities in seismically active zones and naturally, the hazard because the earthquake is more in the bigger cities and the necessity to consider these hazards would be increased. Expanding the cities in Iran seismically active zones caused to be necessary to analyze earthquake hazard. B...

This paper propose the concept of big model as a novel research paradigm for regional and urban studies. Big models are fine-scale regional/urban simulation models for a large geographical area, and they overcome the trade-off between simulated scale and spatial unit by tackling both of them at the same time enabled by emerging big/open data, increasing computation power and matured regional/ur...

New, “big data” sources allow measurement of city characteristics and outcome variables at higher collection frequencies and more granular geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big urban data has the most value for the study of cities when it allows measurement of the previously opaque, or when it can be coupled wit...

Defining space by dividing it to inside and outside is one of human’s ways to recognize his positionin environment. Architecture is created to response to this need for inside/outside spaces. Design of inside and outsideSpaces and relation between them always has been one of necessities for definition and limitation of human livingspaces, but little attention to relation of this two spatial rea...