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A systematic methodology is described for calculating structured residuals with high fault diagnostic capabilities for detecting sensor and actuators failures. The effort addresses implementation issues for real-time applications such as residual computation complexity and sensitivity to measurement noise. These specific requirements have been rigorously introduced through a cost function measuring the quality of the residual signal. A structural analysis approach of the nonlinear model of the system in conjunction with the unknown variables elimination method is used to derive subsets of residual equations. An algorithm is proposed for selecting the residual equations with maximum "failure isolability" and minimum cost, according to the selected performance criteria. The methodology has been applied to the design of a real-time residual generator for a nonlinear model of a remotely controlled semi-scale YF-22 research aircraft.

ORIGINAL RESEARCH ARTICLEand low survival, lung cancer is the most common cause of death from cancer worldwide with 1.59 million deaths, more than 1 million in men and 491,000 in women (1). In Europe, it is the third most common cause of cancer, after breast and prostate cancer (1).The epidemiology of lung cancer is changing in many areas of the world in terms of incidence by gender, age class and histological type (3, 4). Different histological subtypes are linked to different risk factors; for example, outdoor particulate matter has been recognized as a stronger risk factor for adenocarcinoma of the lung than for other histologies, while smoking has been associated in the past mainly with squamous cell carcinoma. However, because of the dissemination of low-tar filter cigarettes, smoking has been hypothesized to be linked also with adenocarcinoma (3). Lung cancer appears to have biologically different characteristics in men and women. The histological distribution of lung cancer subtypes is distinctly different and female smokers are more likely to develop adenocarcinoma of the lung than squamous cell carcinoma, which is more common in men (4). However, the differences in incidence rates between men and women are mainly attributable to the different exposure to tobacco smoking (3).

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Background Early diagnosis of breast, colon, rectum and prostate cancers improves health outcomes. Low socioeconomic status (SES) is related to advanced stages at diagnosis; inequalities could explain differences in outcomes by age. The influence of SES, age and residence area on staging was explored in the Umbrian population. Methods 2001-2010 cases were geo-coded by census tract of residence. Stage distribution or Gleason score were analyzed by multilevel multinomial logistic regression with age and SES as the fixed effects and census tract as the random-effect. ResultsFor breast and colorectal cancers, the screening age class was advantaged. For breast, age effect was modulated by deprivation and census tract. In the elderly, the richest were advantaged, the poorest disadvantaged; issues emerged for the young. For colon, age effect is modulated by census tract in early stages and deprivation in late stages. The elderly were disadvantaged; the young and the deprived had more stages IV. About rectum, age effect was modulated by deprivation in the late stages. The elderly were disadvantaged; the young and the deprived presented more stages IV. For prostate, age effect was modulated by deprivation and census tract.The intermediate age class was advantaged, the elderly disadvantaged. ConclusionAge was not always the determinant of a delayed staging when SES was considered. For breast and colorectal cancers, issues of delayed diagnosis emerged in the young. If the care center was near the residence, the census tract modified the stage at diagnosis. These results are useful to reduce SES barriers by specific programs adapted to the age of the patient and area of residence.