A potential beach monitoring based on integrated methods

This study focuses on the analysis of sandy beaches by integrating sedimentological, geomorphological, and geophysical investigations. The beach represents an extremely variable environment where different natural processes act simultaneously with human activities, leading to the gathering of different methodologies of the Earth Sciences to study its evolution in space and time. The aim of this research is to propose a potential procedure for monitoring the morpho-sedimentary processes of sandy beaches by analyzing the textural and compositional characteristics of the sands and quantifying the volumes involved in the coastal dynamics. The study area includes two Apulian sandy beaches (Torre Guaceto and Le Dune beach) that are representative of the coastal dynamics of a large sector of the central/northern Mediterranean Sea involving the southern Adriatic Sea and the northern Ionian Sea. Sedimentological and ecological investigations allowed to describe the textural and compositional characteristics of the beach sands by interpreting their sand provenance and the physical/biological interactions within the beach. The topographic surveys carried out with a Terrestrial Laser Scanner and an Optical Total Station, aimed to quantify the variations of sediment volume over time, whereas the Delft3d software was applied to analyze the effects of the dominant wave motion on the sedimentary dynamics. Lastly, the geophysical techniques which included Sub Bottom Profiler procedures, Ground Penetrating Radar investigation, and resistivity models enabled us to calculate the sand sediment thickness above the bedrock

NS3 Variability in Hepatitis C Virus Genotype 1A Isolates from Liver Tissue and Serum Samples of Treatment-Naïve Patients with Chronic Hepatitis C.

Background: Hepatitis C virus (HCV) NS3 resistance-associated substitutions (RASs) reduce HCV susceptibility to protease inhibitors. Little is known about NS3 RASs in viral isolates from the liver of chronic hepatitis C (CHC) patients infected with HCV genotype-1a (G1a). Aim: The objective of this work was to study NS3 variability in isolates from the serum and liver of HCV-G1a-infected patients naïve to direct-acting antivirals (DAAs). Methods: NS3 variability of HCV-G1a isolates from the serum and liver of 11 naïve CHC patients, and from sera of an additional 20 naïve CHC patients, was investigated by next-generation sequencing. Results: At a cutoff of 1%, NS3 RASs were detected in all the samples examined. At a cutoff of 15%, they were found in 54.5% (6/11) and 27.3% (3/11) of the paired liver and serum samples, respectively, and in 22.5% (7/31) of the overall serum samples examined. Twenty-six out of thirty-one (84%) patients showed NS3 variants with multiple RASs. Phylogenetic analysis showed that NS3 sequences clustered within 2 clades, with 10/31 (32.2%) patients infected by clade I, 15/31 (48.8%) by clade II, and 6/31 (19.3%) by both clades. Conclusions: Though the number of patients examined was limited, NS3 variants with RASs appear to be major components of both intrahepatic and circulating viral quasispecies populations in DAA-naïve patients

Impact of environmental pollution and weather changes on the incidence of ST-elevation myocardial infarction

Background: Environmental pollution and weather changes unfavorably impact on cardiovascular disease. However, limited research has focused on ST-elevation myocardial infarction (STEMI), the most severe yet distinctive form of acute coronary syndrome. Methods and results: We appraised the impact of environmental and weather changes on the incidence of STEMI, analysing the bivariate and multivariable association between several environmental and atmospheric parameters and the daily incidence of STEMI in two large Italian urban areas. Specifically, we appraised: carbon monoxide (CO), nitrogen dioxide (NO2), nitric oxide (NOX), ozone, particulate matter smaller than 10 μm (PM10) and than 2.5 μm (PM2.5), temperature, atmospheric pressure, humidity and rainfall. A total of 4285 days at risk were appraised, with 3473 cases of STEMI. Specifically, no STEMI occurred in 1920 (44.8%) days, whereas one or more occurred in the remaining 2365 (55.2%) days. Multilevel modelling identified several pollution and weather predictors of STEMI. In particular, concentrations of CO (p=0.024), NOX (p=0.039), ozone (p=0.003), PM10 (p=0.033) and PM2.5 (p=0.042) predicted STEMI as early as three days before the event, as well as subsequently, and NO predicted STEMI one day before (p = 0.010), as well as on the same day. A similar predictive role was evident for temperature and atmospheric pressure (all p < 0.05). Conclusions: The risk of STEMI is strongly associated with pollution and weather features. While causation cannot yet be proven, environmental and weather changes could be exploited to predict STEMI risk in the following days

A geo-chemo-mechanical study of a highly polluted marine system (Taranto, Italy) for the enhancement of the conceptual site model

The paper presents the results of the analysis of the geo-chemo-mechanical data gathered through an innovative multidisciplinary investigation campaign in the Mar Piccolo basin, a heavily polluted marine bay aside the town of Taranto (Southern Italy). The basin is part of an area declared at high environmental risk by the Italian government. The cutting-edge approach to the environmental characterization of the site was promoted by the Special Commissioner for urgent measures of reclamation, environmental improvements and redevelopment of Taranto and involved experts from several research fields, who cooperated to gather a new insight into the origin, distribution, mobility and fate of the contaminants within the basin. The investigation campaign was designed to implement advanced research methodologies and testing strategies. Differently from traditional investigation campaigns, aimed solely at the assessment of the contamination state within sediments lying in the top layers, the new campaign provided an interpretation of the geo-chemo-mechanical properties and state of the sediments forming the deposit at the seafloor. The integrated, multidisciplinary and holistic approach, that considered geotechnical engineering, electrical and electronical engineering, geological, sedimentological, mineralogical, hydraulic engineering, hydrological, chemical, geochemical, biological fields, supported a comprehensive understanding of the influence of the contamination on the hydro-mechanical properties of the sediments, which need to be accounted for in the selection and design of the risk mitigation measures. The findings of the research represent the input ingredients of the conceptual model of the site, premise to model the evolutionary contamination scenarios within the basin, of guidance for the environmental risk management. The study testifies the importance of the cooperative approach among researchers of different fields to fulfil the interpretation of complex polluted eco-systems

SENSITIVITY ANALYSIS IN FLOOD MODELING OF FLAT AREAS

The study of fl ooded areas is derived from detailed knowledge of the area under consideration (river and fl oodplain), hydrological analysis and hydraulic modeling. The estimated risk of fl ooding is now facilitated by survey systems able to create enable the creation of highly detailed digital terrain models (COBBY et alii, 2001), by complex mathematical models and sophisticated hardware and software which permit the achievement of complex elaborations within satisfactory time periods. However, the construction of the simulation model is always a compromise between the capability of the instruments and the detail that you want to achieve. So it can be useful to verify the extent of changes in hydraulic parameters of output compared to the choices made on the input parameters This is especially true when observed data of fl ood events are absent. Considering an extremely flat area, this work aims to analyze the results of hydrodynamic bi-dimentional simulations depending on the detail achieved in the characterization of the study area (expressed through the computational domain resolution) and the floodplain roughness