An Internet of Things (IoT) Ecosystem for Detection and Removal of Radon Gas

The region that served as the basis for this work is characterized by the abundance of different types of granite. In some places, the predominance of certain uraniferous minerals, the existence of faults and mines may even be responsible for the existence of very high levels of natural radioactivity, especially with regard to radon. The main motivation for studying the effects of population exposure to radon is based on the fact that this gas, radioactive, odorless, colorless and tasteless, has been recognized since 1988 by the World Health Organization as the 2nd leading cause of death from lung cancer for the general population, after tobacco. Approximately 80 % of the background radiation to which populations are exposed daily comes from natural sources, which can include radioactive materials of natural origin, NORM, present in the earth’s crust, in food, in some drinks and, including certain building materials. In December 2018, a new legislation was approved in Portugal, DL no 108/2018, transposed from European Directive 59/2013 / Euratom, which establishes uniform basic safety standards for the protection of the health of people subject to exposure professional, public and medical professionals against the dangers arising from ionizing radiation. The radon isotope, 222Rn, which results from radio disintegration, 226Ra, and one of the uranium decay products, 238U, is the main radionuclide of radiological interest in terms human health. This radioactive gas is spontaneously released from some rocks and, being slightly denser than air, it tends to accumulate in ground areas of closed spaces and is responsible for the majority of the radiation dose received by the population. Some traditional solutions have been applied in order to solve the problem, however, after the detection of the radon they do not use the data collected in order to combat and prevent the gas from accumulating in the interior spaces. In Portugal it is a problem that has not been given due attention. Taking into account the possible harmful effects of radon on the population, the main motivation of this work was the development of an IoT (Internet of Things) system with the objective of detecting, mitigating and predicting the levels of radon gas inside homes. Based on this assumption, it will be possible to create a healthier environment that will reduce health risks in closed environments. To achieve this goal, an IoT system was developed, consisting of a radon sensor and an automated switch, which allows the fans installed and / or switched off to be installed in the residence, as well as predicting and making decisions in the face of a potentially dangerous situation based on the records provided by the sensors. This system also includes a web application that allows the user to consult the statistical data related to the average radon concentration. On the other hand, through the web application, it is possible to not only activate the fans manually, but also to edit the limit at which the fans are activated. This system was tested in a real context and, therefore, it is possible to compare two radon gas mitigation methods and identify which would be the most effective. Once the method to be used was determined and after stabilizing the data obtained by the sensor, the results obtained by the system were analyzed, which allowed us to conclude that the system reduced considerably the levels of radon in the house. On average, there was a 93% reduction in the concentration of radon gas. This result demonstrates that the implementation of the system was successful and allows us to conclude that it can be applied on a larger scale.A região que serviu de base para a realização deste trabalho é caracterizada pela abundância de diversos tipos de granitos. Em alguns locais, a predominância de determinados minerais uraníferos, a existência de falhas e minas podem, inclusivamente, ser responsáveis pela existência de níveis de radioatividade natural bastante elevados, especialmente no que se refere ao radão. A principal motivação para se estudar os efeitos da exposição das populações ao radão baseia-se no facto de este gás, radioativo, inodoro, incolor e insípido, ser desde 1988, reconhecido pela Organização Mundial de Saúde como a 2a causa de morte por cancro pulmonar para a população geral, depois do tabaco. Cerca de 80% da radiação de fundo a que as populações estão, diariamente, expostas tem origem em fontes naturais nas quais se podem incluir os materiais radioativos de origem natural, NORM, presentes na crosta terrestre, na comida, em algumas bebidas e, inclusivamente, em certos materiais de construção. Em dezembro de 2018, foi aprovada, em Portugal, uma nova legislação, o DL no 108/2018, transposta da Diretiva Europeia 59/2013/Euratom, que estabelece normas de segurança de base uniformes para a proteção da saúde de pessoas sujeitas a exposição profissional, da população e médica contra os perigos resultantes das radiações ionizantes. O isótopo radão, 222Rn, que resulta da desintegração do radio, 226Ra, e um dos produtos de decaimento do urânio, 238U, é o principal radionuclídeo com interesse radiológico em termos de saúde humana. Este gás radioativo liberta-se, espontaneamente de algumas rochas e, sendo ligeiramente mais denso do que o ar, tem tendência a acumular-se em zonas térreas de espaços fechados e é responsável pela maioria da dose de radiação recebida pela população. Algumas soluções tradicionais têm sido aplicadas de modo a resolver o problema, no entanto, depois da deteção do radão estas não usam os dados recolhidos de forma a combater e a prevenir que o gás se acumule nos espaços interiores. Em Portugal é um problema que não tem a devida atenção. Tendo em conta os possíveis efeitos nocivos do radão na população, a principal motivação deste trabalho consistiu no desenvolvimento de um sistema IoT (Internet das Coisas) com o objetivo de detetar, mitigar e prever os níveis do gás radão no interior das habitações. Partindo deste pressuposto, será possível criar um ambiente mais saudável que permitirá reduzir os riscos para a saúde em ambientes fechados. Para se concretizar este objetivo foi desenvolvido um sistema IoT que consiste em um sensor de radão e um interruptor automatizado, que permite ligar e/ou desligar os ventiladores instalados na residência, bem como prever e tomar decisões perante uma situação potencialmente perigosa com base nos registos fornecidos pelos sensores. Este sistema integra também uma aplicação web que permite ao utilizador consultar os dados estatísticos relativos à concentração média de radão. Por outro lado, através da aplicação web, é possível não só ativar os ventiladores manualmente, como também editar o limite em que os ventiladores são accionados. Este sistema foi testado num contexto real e, por isso, possível comparar dois métodos de mitigação do gás radão e identificar qual seria o mais eficaz. Uma vez determinado o método a ser utilizado e após a estabilização dos dados obtidos pelo sensor, analisaram-se os resultados obtidos pelo sistema que permitiram concluir que o sistema reduziu consideravelmente os níveis de radão na habitação. Foi verificada, em média, uma redução de cerca de 93% na concentração de gás radão. Este resultado demonstra que a implementação do sistema foi um sucesso e permite concluir que poderá ser aplicado numa escala maior

Development of an Automatic Low-Cost Air Quality Control System: A Radon Application

[Abstract] Air pollution is the fourth-largest overall risk factor for human health worldwide. Ambient air pollution (outdoors) and household air pollution (indoors) cause about 6.5 million premature deaths. The World Health Organization has established that between 3% and 14% of lung cancer cases are due to radon gas, making it the most important cause of lung cancer after smoking. This work presents a fully automated, low-cost indoor air quality control system that can monitor temperature, pressure, humidity, total volatile organic compounds (TOVC), and radon concentration. Using the radon concentration as an air quality measure, we created a prediction algorithm. The system uses those predictions to control a ventilation system automatically. We tested the algorithm for different prediction windows and compared the results with those without the ventilation system in a radon research room. In this room, the radon concentration is high 100% of the time, reaching a level eleven times higher than the recommended limit. The results show that the system can achieve an 86% reduction of the radon concentration, maintaining it low 90% of the time while having the ventilation system on during only 34% of the time. This work demonstrates that we can control air quality using low-cost resources, keeping a household or workplace safe but comfortable.This work was supported by Spanish Ministry of Economy and Competitiveness through the project BIA2017-86738-R and through the funding of the unique installation BIOCAI (UNLC08-1E-002, UNLC13-13-3503) and the European Regional Development Funds (FEDER) by the European Union. This work is supported in part by grants from the European Social Fund 2014–2020. CITIC (Research Centre of the Galician University System) and the Galician University System (SUG) obtained funds through Regional Development Fund (ERDF), with 80% from the Operational Program ERDF Galicia 2014–2020 and the remaining 20% from the Secretaría Xeral de Universidades of the Galician University System (SUG) (Ref ED431G 2019/01). Additional support was provided by the Consolidation and Structuring of Competitive Research Units—Competitive Reference Groups (ED431C 2018/49)Xunta de Galicia; ED431G 2019/01Xunta de Galicia; ED431C 2018/4

Evaluating housing quality, health and safety using an Internet-based data collection and response system: a cross-sectional study

<p>Abstract</p> <p>Background</p> <p>Typically housing and health surveys are not integrated together and therefore are not representative of population health or national housing stocks. In addition, the existing channels for distributing information about housing and health issues to the general public are limited. The aim of this study was to develop a data collection and response system that would allow us to assess the Finnish housing stock from the points of view of quality, health and safety, and also to provide a tool to distribute information about important housing health and safety issues.</p> <p>Methods</p> <p>The data collection and response system was tested with a sample of 3000 adults (one per household), who were randomly selected from the Finnish Population Register Centre. Spatial information about the exact location of the residences (i.e. coordinates) was included in the database inquiry. People could participate either by completing and returning a paper questionnaire or by completing the same questionnaire via the Internet. The respondents did not receive any compensation for their time in completing the questionnaire.</p> <p>Results</p> <p>This article describes the data collection and response system and presents the main results of the population-based testing of the system. A total of 1312 people (response rate 44%) answered the questionnaire, though only 80 answered via the Internet. A third of the respondents had indicated they wanted feedback. Albeit a majority (>90%) of the respondents reported being satisfied or quite satisfied with their residence, there were a number of prevalent housing issues identified that can be related to health and safety.</p> <p>Conclusions</p> <p>The collected database can be used to evaluate the quality of the housing stock in terms of occupant health and safety, and to model its association with occupant health and well-being. However, it must be noted that all the health outcomes gathered in this study are self-reported. A follow-up study is needed to evaluate whether the occupants acted on the feedback they received. Relying solely on an Internet-based questionnaire for collecting data would not appear to provide an adequate response rate for random population-based surveys at this point in time.</p

An Innovative System for Monitoring Radon and Indoor Air Quality

Nowadays, a global trend towards increasing the performance of a building is the reduction in energy consumption. In this respect, for existing residential buildings the most common techniques are the application of a thermal insulation layer to the exterior wall of the building and / or window replacements. Unfortunately, their application without proper education of those involved may have a negative effect on the indoor air quality. The use of a continuous monitoring device can give the owner the ability to understand the impact of his behaviour on indoor air quality and, as such, to adjust his routine in order to maintain the indoor air quality at the desired level. This paper introduces a prototype, called ICA system, for continuous, real-time indoor air quality monitoring. The ICA system presents sensors for monitoring the concentration of radon, CO2, CO, VOCs, as well as meteorological parameters, such as temperature, pressure, and relative humidity. Experiments were performed both in laboratory and in situ conditions for testing and validating the proposed system.This work was supported by the project ID P_37_229, Contract No. 22/01.09.2016, with the title “Smart Systems for Public Safety through Control and Mitigation of Residential Radon linked with Energy Efficiency Optimization of Buildings in Romanian Major Urban Agglomerations SMART-RAD-EN” of the POC Programme

TAMEE: data management and analysis for tissue microarrays

BACKGROUND: With the introduction of tissue microarrays (TMAs) researchers can investigate gene and protein expression in tissues on a high-throughput scale. TMAs generate a wealth of data calling for extended, high level data management. Enhanced data analysis and systematic data management are required for traceability and reproducibility of experiments and provision of results in a timely and reliable fashion. Robust and scalable applications have to be utilized, which allow secure data access, manipulation and evaluation for researchers from different laboratories. RESULTS: TAMEE (Tissue Array Management and Evaluation Environment) is a web-based database application for the management and analysis of data resulting from the production and application of TMAs. It facilitates storage of production and experimental parameters, of images generated throughout the TMA workflow, and of results from core evaluation. Database content consistency is achieved using structured classifications of parameters. This allows the extraction of high quality results for subsequent biologically-relevant data analyses. Tissue cores in the images of stained tissue sections are automatically located and extracted and can be evaluated using a set of predefined analysis algorithms. Additional evaluation algorithms can be easily integrated into the application via a plug-in interface. Downstream analysis of results is facilitated via a flexible query generator. CONCLUSION: We have developed an integrated system tailored to the specific needs of research projects using high density TMAs. It covers the complete workflow of TMA production, experimental use and subsequent analysis. The system is freely available for academic and non-profit institutions from

The geographical differences and similarities of radon affected areas in England

The geographical distribution of radon gas is very uneven. The gas occurs naturally in all buildings at concentrations which can vary from below the United Kingdom national average of 20 Bq m(^-3) to more than 2,000 Bq m(^-3). Five counties have been identified by the NRPB as 'Affected Areas' where more than 1% of homes have radon levels in excess of the current Action Level of 200 Bq m(^-3) (Miles et al., 1992). These counties are Cornwall, Devon, Somerset, Derbyshire and Northamptonshire. The level of radon gas in buildings is largely dependent on the underlying geology but geology does not always provide a full answer as to why spatial variations in radon occur. The implication of land capability on indoor radon levels in the five Affected Areas has been assessed using ARC/INFO and in Northamptonshire die influence of social factors (population density, social class and the proportion of households consisting only of pensioners) has been analysed. There are some similarities in the results for the Affected Areas (especially between the counties located in the south-west of die country) as well as some striking differences (for example, the relationship between urban areas and radon levels differs in all the Affected Areas). Results in Somerset and Northamptonshire are strongly influenced by one or more dominant radon category or land capability grade. In general, higher radon levels are associated with poor quality agricultural land and, in Northamptonshire, with high population density at ward level. The areas of Northamptonshire which have above average proportions in social classes I and II (1991 Census) are more likely to be associated with low radon levels (at district level), whereas areas with high proportions of households consisting only of pensioners tend to be associated with areas where more than 10% of homes are above the Action Level (at ward level)

Do wastewater treatment plants increase antibiotic resistant bacteria or genes in the environment? Protocol for a systematic review

Background: Antibiotic resistance is a global public health threat. Water from human activities is collected at wastewater treatment plants where processes often do not sufficiently neutralize antibiotic resistant bacteria and genes, which are further shed into the local environment. This protocol outlines the steps to conduct a systematic review based on the Population, Exposure, Comparator and Outcome (PECO) framework, aiming at answering the question "Are antimicrobial-resistant enterobacteriaceae and antimicrobial resistance genes present (O) in air and water samples (P) taken either near or downstream or downwind or down-gradient from wastewater treatment plants (E), as compared to air and water samples taken either further away or upstream or upwind or up-gradient from such wastewater treatment plant (C)?" Presence of antimicrobial-resistant bacteria and genes will be quantitatively measured by extracting their prevalence or concentration, depending on the reviewed study. Methods: We will search PubMed, EMBASE, the Cochrane database and Web of Science for original articles published from 1 Jan 2000 to 3 Sep 2018 with language restriction. Articles will undergo a relevance and a design screening process. Data from eligible articles will be extracted by two independent reviewers. Further, we will perform a risk of bias assessment using a decision matrix. We will synthesize and present results in narrative and tabular form and will perform a meta-analysis if heterogeneity of results allows it. Discussion: Antibiotic resistance in environmental samples around wastewater treatment plants may pose a risk of exposure to workers and nearby residents. Results from the systematic review outlined in this protocol will allow to estimate the extend of exposure, to inform policy making and help to design future studies

New Knowledge for Old Regions? The Case of the Software Park Hagenberg in the Traditional Industrial Region of Upper Austria

This paper seeks to enhance our understanding about the opportunities and limits of new path creation in traditional regional innovation systems. Due to their inherited historical legacies, such systems are usually thought of being ill-equipped to give rise to high-tech or knowledge intensive activities. Departing from recent insights on research concerned with the transformation of innovation systems and evolutionary economic geography we identify in a conceptual way enabling and constraining factors for the rise of new development paths in traditional regions. Empirically, we focus on the case of the “Software Park Hagenberg†(SPH) located in the old industrial region of Upper Austria. We examine key events triggering the emergence and subsequent evolution of the SPH and explore the role of the RIS in shaping the development trajectory of the SPH. Moreover, applying social network analysis tools, we investigate the pattern of networking between firms, research organisations and educational bodies within the SPH and we provide some evidence on the diffusion of knowledge and innovation generated though these interactions throughout the regional economy.