Integrating Blue Energy in Maritime Spatial Planning of Mediterranean Regions

Blue Energy (BE) is expected to play a strategic role in the energy transition of Europe, particularly toward the 2050 horizon. It refers to a set of Marine Energy Sources (MES), including offshore wind, waves, tides, marine currents, sea thermal energy, salinity gradients, and marine biomass, which are exploited by different BE technologies. Nevertheless, the implementation of integrated solutions to exploit MES in marine areas does not just concern technological issues; it requires inclusive planning practices considering different aspects regarding climate and environmental impacts, landscape compatibility, interference with other marine activities (such as shipping, fishing, and tourism), and social acceptance. A replicable BE planning framework has been developed based on interdisciplinary knowledge in three Mediterranean sites in Greece, Croatia, and Cyprus, under the scope of the Interreg Med BLUE DEAL project. It has been implemented by some interdisciplinary experts through a collaborative and iterative process of data elaboration, mapping, evaluation, and visualization. Results concern the localization of suitable sites to install BE plants and the estimation of potential energy production and avoided emissions in selected scenarios. Together with visual simulations, this study shows the potential effects of the implementation of BE in specific marine areas, with a special focus on the most promising offshore floating wind farms and wave energy converters (WECs), as basic information for participative design and stakeholder engagement initiatives, including public authorities, businesses, and citizens

SPATIAL DMBS ARCHITECTURE FOR A FREE AND OPEN SOURCE BIM

Recent research on the field of Building Information Modelling (BIM) technology, revealed that except of a few, accessible and free BIM viewers there is a lack of Free & Open Source Software (FOSS) BIM software for the complete BIM process. With this in mind and considering BIM as the technological advancement of Computer-Aided Design (CAD) systems, the current work proposes the use of a FOSS CAD software in order to extend its capabilities and transform it gradually into a FOSS BIM platform. Towards this undertaking, a first approach on developing a spatial Database Management System (DBMS) able to store, organize and manage the overall amount of information within a single application, is presented

OPEN SOURCE CLOUD-BASED TECHNOLOGIES FOR BIM

This paper presents a Cloud-based open source system for storing and processing data from a 3D survey approach. More specifically, we provide an online service for viewing, storing and analysing BIM. Cloud technologies were used to develop a web interface as a BIM data centre, which can handle large BIM data using a server. The server can be accessed by many users through various electronic devices anytime and anywhere so they can view online 3D models using browsers. Nowadays, the Cloud computing is engaged progressively in facilitating BIM-based collaboration between the multiple stakeholders and disciplinary groups for complicated Architectural, Engineering and Construction (AEC) projects. Besides, the development of Open Source Software (OSS) has been rapidly growing and their use tends to be united. Although BIM and Cloud technologies are extensively known and used, there is a lack of integrated open source Cloud-based platforms able to support all stages of BIM processes. The present research aims to create an open source Cloud-based BIM system that is able to handle geospatial data. In this effort, only open source tools will be used; from the starting point of creating the 3D model with FreeCAD to its online presentation through BIMserver. Python plug-ins will be developed to link the two software which will be distributed and freely available to a large community of professional for their use. The research work will be completed by benchmarking four Cloud-based BIM systems: Autodesk BIM 360, BIMserver, Graphisoft BIMcloud and Onuma System, which present remarkable results

Using a chemistry transport model to account for the spatial variability of exposure concentrations in epidemiologic air pollution studies

International audienceEnvironmental epidemiology and more specifically time-series analysis have traditionally used area-averaged pollutant concentrations measured at central monitors as exposure surrogates to associate health outcomes with air pollution. However, spatial aggregation has been shown to contribute to the overall bias in the estimation of the exposure-response functions. This paper presents the benefit of adding features of the spatial variability of exposure by using concentration fields modeled with a chemistry transport model instead of monitor data and accounting for human activity patterns. On the basis of county-level census data for the city of Paris, France, and a Monte Carlo simulation, a simple activity model was developed accounting for the temporal variability between working and evening hours as well as during transit. By combining activity data with modeled concentrations, the downtown, suburban, and rural spatial patterns in exposure to nitrogen dioxide, ozone, and PM2.5 (particulate matter [PM] = 10 µm in aerodynamic diameter) were captured and parametrized. Exposures predicted with this model were used in a time-series study of the short-term effect of air pollution on total nonaccidental mortality for the 4-yr period from 2001 to 2004. It was shown that the time series of the exposure surrogates developed here are less correlated across co-pollutants than in the case of the area-averaged monitor data. This led to less biased exposure-response functions when all three co-pollutants were inserted simultaneously in the same regression model. This finding yields insight into pollutant-specific health effects that are otherwise masked by the high correlation among co-pollutants. Copyright 2011 Air & Waste Management Association

Alterations in human papillomavirus-related biomarkers after treatment of cervical intraepithelial neoplasia

Objective: This study aims to assess the alterations in various HPV-related biomarkers 6 months post-treatment and how these relate to various risk factors and individual characteristics; their role for the prediction of treatment failure was also evaluated. Material and methods: Design: Prospective observational study. Population: Women planning to undergo treatment for cervical intraepithelial neoplasia. Intervention: A liquid-based cytology sample was taken pre-operatively. This was tested for HPV genotyping, Nucleic Acid Sequence Based Amplification, flow cytometric evaluation and p16 immunostaining. A repeat LBC sample was obtained 6 months post-treatment and was tested for the same biomarkers. Outcomes: The alterations of the biomarkers 6 months post-treatment were recorded. Their relation to individual characteristics and risk factors (age, smoking, sexual history, use of condom, CIN grade, excision margin status, crypt involvement) as well as their role for the prediction of residual/recurrent disease were assessed. Analysis: The accuracy parameters (sensitivity, specificity, positive and negative predictive value and the likelihood ratios) of each biomarker for the prediction of recurrent/residual CIN were calculated. Results: A total of 190 women were recruited. All biomarkers had significantly higher negativity rates post-treatment compared to pre-treatment ones. Multivariate analysis demonstrated that consistent condom use post-treatment significantly reduces the high-risk HPV positivity rates in comparison to no use (OR = 0.18; 95% CI: 0.09-0.38). Sensitivity and specificity for all high risk HPV DNA testing were 0.5/0.62, respectively; the relevant values for only type 16 or 18 DNA typing were 0.5/0.92, for NASBA 0.5/0.94, for flow 0.5/0.85 and for p16 0.25/0.93. Conclusion: CIN treatment reduces positivity for all HPV-related biomarkers. Consistent condom use significantly reduces high-risk HPV positivity rates. More cases of treatment failures are required in order to specify whether different combinations of HPV-related biomarkers could enhance the accuracy of follow up, possibly in the form of a Scoring System that could allow tailored post-treatment surveillance

Condylomata acuminata in children

We describe a study on 38 children from 1 to 11 years of age, with anogenital warts, 25 were girls. The disease was primarily perianal. Sexual abuse was confirmed in one 9-year-old boy. Most responded to monotherapy with podophyllotoxin, imiquimod 5%, or cryotherapy in a 3-month follow-up period. © 2012 by Lippincott Williams & Wilkins

A Comparison of Human Papillomavirus Genotype-Specific DNA and E6/E7 mRNA Detection to Identify Anal Precancer among HIV-Infected Men Who Have Sex with Men

BACKGROUND: Human papillomavirus (HPV) RNA detection is reportedly more specific for the detection of anogenital precancer than HPV DNA but it is unknown whether this is due to detection of RNA or due to HPV genotype restriction. MATERIALS AND METHODS: 363 human immunodeficiency virus (HIV)-positive men who have sex with men had two anal cytology samples taken and were evaluated using high-resolution anoscopy and biopsies of visible lesions. Anal specimens were tested for E6/E7 RNA for 5 carcinogenic HPV genotypes (HPV16, 18, 31, 33, and 45) and tested for the DNA of 13 carcinogenic HPV genotypes. RESULTS: DNA testing was more likely to be positive than RNA testing (53% vs. 48%, p = 0.02) for the same 5 HPV genotypes in aggregate. When restricted to 5 HPV genotypes targeted by the RNA test, the sensitivity to detect anal precancer was the same for DNA and RNA (81%) while RNA was more specific than DNA (65% vs. 58%, p = 0.007). By comparison, DNA detection of all 13 carcinogenic HPV genotypes was more sensitive (96% vs. 81%, p = 0.001) but much less specific (65% vs. 33%, p < 0.001) compared to RNA detection of the 5 HPV genotypes. CONCLUSION: After controlling for HPV genotypes, RNA was only slightly more specific than DNA detection for anal precancer. IMPACT: DNA or RNA testing for a subset of the most carcinogenic HPV genotypes may be useful for distinguishing between those HPV-positive men at higher and lower risk of anal precancer and cancer