Comparing statistical process control charts for fault detection in wastewater treatment.

Fault detection is an important part of process supervision, especially in processes where there are strict requirements on the process outputs like in wastewater treatment. Statistical control charts such as Shewhart charts, cumulative sum (CUSUM) charts, and exponentially weighted moving average (EWMA) charts are common univariate fault detection methods. These methods have different strengths and weaknesses that are dependent on the characteristics of the fault. To account for this the methods in their base forms were tested with drift and bias sensor faults of different sizes to determine the overall performance of each method. Additionally, the faults were detected using two different sensors in the system to see how the presence of active process control influenced fault detectability. The EWMA method performed best for both fault types, specifically the drift faults, with a low false alarm rate and good detection time in comparison to the other methods. It was shown that decreasing the detection time can effectively reduce excess energy consumption caused by sensor faults. Additionally, it was shown that monitoring a manipulated variable has advantages over monitoring a controlled variable as set-point tracking hides faults on controlled variables; lower missed detection rates are observed using manipulated variables.

Estimating dementia cases amongst migrants living in Europe.

BACKGROUND AND PURPOSE: The phenomenon of dementia amongst migrants and ethnic minorities represents an emerging concern for European healthcare systems, posing additional challenges in terms of clinical approach, access to care and resource utilization. The aim of the present study was to estimate the cases of dementia amongst immigrant older subjects living in Europe and in each European country. METHODS: The estimated cases of dementia amongst older (i.e. 65+) migrants living in the European Union (EU-28) and European Free Trade Association member states were calculated by multiplying the number of migrants (obtained through the data provided by Eurostat) with the age- and sex-specific prevalence rates (derived by a recent meta-analysis). RESULTS: Overall, 6 507 360 older migrants lived in Europe in 2017. In addition, 1 204 671 migrants were registered in Germany in 2010. Nearly 475 000 dementia cases (329 028 women, 147 410 men) were estimated in this population by applying age- and sex-specific prevalence rates. When considering each European country, the number of estimated cases ranged from 108 (Iceland) to 119 161 (France). In parallel, the proportion of dementia cases occurring in migrants ranged from 0.9% (Czech Republic) to 51.2% (Liechtenstein). CONCLUSIONS: The issue of dementia in migrants and ethnic minorities is emerging but already relevant for European healthcare systems. The magnitude of this phenomenon and its complexities reinforce the need for coordinated initiatives both at a national and continental level. These epidemiological data should ideally be integrated with those coming from 'real world' services in order to better calibrate these actions.

Socioeconomic disparities in clinical trials on Alzheimer's disease: a systematic review.

BACKGROUND AND PURPOSE: There is now a wide consensus at recognizing social and economic circumstances as main determinants of an individual's health status. Nevertheless, characteristics relating to socioeconomic status (SES) are poorly described in research reports. The aim of the present review was to verify whether the SES of participants is adequately reported in interventional studies targeting Alzheimer's disease (AD), and to explore the impact of SES proxy measures on the efficacy of the considered medications. METHODS: A systematic review of available randomized controlled trials (RCTs) on the currently marketed drugs for AD (i.e. cholinesterase inhibitors and memantine) was conducted by performing a structured search on PubMed and the Cochrane databases. The following indicators of SES were considered in the retained studies: (i) educational level, (ii) lifetime job category, (iii) income and (iv) wealth. The study quality was assessed using the Cochrane Risk of Bias Tool for Randomized Controlled Trials. RESULTS: A total of 48 articles were finally selected. Overall, only eight RCTs reported data concerning the four considered SES indicators. Indeed, only information pertaining to the educational level of participants was provided. Only one RCT (n = 60) performed ad hoc, secondary analyses accounting for the SES of participating subjects. CONCLUSIONS: The research and clinical relevance of SES has mistakenly been overlooked by the vast majority of RCTs on AD. A greater effort should be made to collect and report data on those SES indicators that may significantly affect the clinical manifestations and trajectories of patients with cognitive disturbances.