in recent years, increasing population, vehicles and industrial growth have caused air pollution that is initiated many environment problems and damaged public health. to check the air quality in different regions, pollution data that are collected in air pollution stations are required. for better and more realistic monitoring of air pollution, the stations must be distributed exactly and even...

This paper identifies factors that encourage or reduce pick-pocketing at underground rail stations through a case study analysis of the London Underground. Negative binomial Poisson regression models found possible predictor variables of pick-pocketing selected from the internal characteristics of stations, and features of their nearby surroundings. Factors that increased risk were those associ...

In this paper, we address the issue of short-term wind speed prediction at a given site. We show that, when one uses spatiotemporal information as provided by data neighboring stations, significantly improves quality. Our methodology does not focus on any peculiar forecasting model but rather considers set various methods, from very basic linear regression to different machine learning models. ...

Waste transfer-stations play an important role in a community’s waste management system, serving as the link between a community’s solid waste collection program and a final waste disposal facility. This study aims to estimate economic values of externalities related to waste transfer-stations in Israel. Most externalities are associated with local disamenities experienced by residents living i...

Dynamical mass measurements to date have allowed determinations of the mass M and the distance D of a number of nearby supermassive black holes. In the case of Sgr A*, these measurements are limited by a strong correlation between the mass and distance scaling roughly as M ∼ D2. Future very long baseline interferometric (VLBI) observations will image a bright and narrow ring surrounding the sha...