Health Assessment Methods (HAM) and Structural Health Monitoring (SHM) aim to improve the standard of knowledge regarding the safety and maintenance of structures and infrastructure acquiring information about geometrical, mechanical and dynamical characteristics of structures. In earthquake-prone areas, this activity has the double aim of assessing the buildings structural integrity and extrac...

abstract   background: due to the high incidence of breast cancer and the effect of its early diagnosis on decreasing morbidity and mortality, we used the gail model to study breast cancer risk in iranian women.   methods: this study was done in a simple randomized way. participants were 2000 iranian women older than 35 years old. the questionnaire consisted of demographic data such as age, rac...

background: the aim of this study was to determine bioavailability heavy metal concentrations of cu, cd, cr, co and zn and health risk assessment in different types of klang district, selangor (malaysia) urban surface soil using in physiologically based extraction test in vitro human digestion model. methods: a total of 76 urban surface soil was sampled based on seven different types of land us...

conclusions our results showed that the study population perceived a high likelihood of cchf risk. improving public knowledge and awareness could result in a more realistic assessment of cchf risk, hence better compliance with taking precaution measures to tackle the disease. results approximately 70% of the respondents reported the cchf risk to be 'high'. factors independently associated with ...

This paper extends some authors’ previous approaches to models and methods based on fuzzy sets and fuzzy logic, for the seismic fragility updating and seismic damage evaluation, in their contributions to the IFIP 8 Conference (Krakow – 1998), SMiRT 16 (Washington DC – 2001) and SMiRT 18 (Beijing – 2005) Conferences. A short survey of such earlier and more recent proposals for applying fuzzy con...

The paper presents results of application of a machine learning method, namely the induction of classification and regression rules, for seismic hazard prediction in coal mines. The main aim of this research was to verify if machine learning methods would be able to predict seismic hazard more accurately than methods routinely used in Polish coal mines on the basis of data gathered by monitorin...

This document provides an assessment of the current state of advanced airborne and spaceborne remote sensing and ground-based technologies applicable to the analysis of seismic risk and vulnerability of buildings and lifeline systems. Continuous Global Positioning System (GPS) ground deformation monitoring and seismological networks provide critical measurements for understanding the earthquake...

During recent earthquakes, seaports have demonstrated that they can be highly vulnerable to seismic motion and associated ground failures. Poor seismic performance of seaports has resulted in billions of dollars of losses. Seaports are critical nodes in regional transportation networks and have an important impact on the economy of the area. Thus, the need for risk analysis of port facilities i...