IoT technologies for wine supply chain traceability: Potential application in the Southern Apulia Region (Italy)

The high value and volume of Italian wine production determines a strong stimulus for counterfeiting, which generates negative consequences for grape growers, winemakers and consumers. In this context, IoT technologies and the blockchain can serve as tools to ensure traceability, transparency and efficiency along the whole wine supply chain. Using primary data collected through interviews to the main grape growers and wineries involved in the wine supply chain in the Southern Apulia Region and secondary data, acquired from previous scientific literature, the study proposes a framework for the traceability and efficiency of the wine supply chain based on a combination of blockchain, Radio-Frequency Identification (RFID) and Near Field Communication (NFC) tags, Serial Shipping Container Codes (SSCC) and Quick Response (QR) codes. The developed framework allows for the systematic storage of information about commodities and processes throughout the supply chain, from grape growers to wine consumption and packaging disposal and/or reuse (forward and reverse flows). In addition, it ensures the transparency, safety, and security of all processes involved within the wine supply chain, serving as a quality information management tool. The information collected along the wine supply chain is entered into the management system by farmers, winemakers and bottlers and is accessible to all of them, while the distributors, consumers and the bottle reverse logistics operators, can only consult all of the information stored on the blockchain in order to know the origin, the quality, the processing and the authenticity of wines, without being able to enter data and/or modify the existent information

Climate change assessment for Mediterranean agricultural areas by statistical downscaling

In this paper we produce projections of seasonal precipitation for four Mediterranean areas: Apulia region (Italy), Ebro river basin (Spain), Po valley (Italy) and Antalya province (Turkey). We performed the statistical downscaling using Canonical Correlation Analysis (CCA) in two versions: in one case Principal Component Analysis (PCA) filter is applied only to predictor and in the other to both predictor and predictand. After performing a validation test, CCA after PCA filter on both predictor and predictand has been chosen. Sea level pressure (SLP) is used as predictor. Downscaling has been carried out for the scenarios A2 and B2 on the basis of three GCM's: the CCCma-GCM2, the Csiro-MK2 and HadCM3. Three consecutive 30-year periods have been considered. For Summer precipitation in Apulia region we also use the 500 hPa temperature (T500) as predictor, obtaining comparable results. Results show different climate change signals in the four areas and confirm the need of an analysis that is capable of resolving internal differences within the Mediterranean region. The most robust signal is the reduction of Summer precipitation in the Ebro river basin. Other significative results are the increase of precipitation over Apulia in Summer, the reduction over the Po-valley in Spring and Autumn and the increase over the Antalya province in Summer and Autumn

Agricultural Insurance in the DOCG Area of Conegliano—Valdobbiadene: An Assessment of Policy Measures

Agricultural insurance stands prominant in the protection of crop products. In Italy, the increasing occurrence of extreme weather events has had an important impact on the crop insurance market’s dynamics by lowering insurance companies propensity to take on climate risks. In this context, the main aim of the study is to focus on an economic assessment of the demand for insurance in the Controlled and Guaranteed Designation of Origin (DOCG) area of Conegliano-Valdobbiadene, exploiting the economic effects of public contributions for the three main subjects involved in the market: winegrowers, public stakeholders, and insurance companies. The results showed that the more favorable conditions laid down in the Omnibus Regulation in favor of producers do not appear justified in the area investigated. As regards the goodness of public intervention, the overall positivity of the Indicator Efficiency Subsidies (IES) underlines the relative efficiency of the subsidized contribution. As for the insurance companies, the financial equilibrium appears precarious, closed between falling tariffs and increasing quotas in consideration of the feared climate change

Brief communication: Towards a universal formula for the probability of tornadoes

A methodological approach is proposed to provide an analytical (exponential-like) expression for the probability of occurrence of tornadoes as a function of the convective available potential energy and the wind shear (or, alternatively, the storm relative helicity). The resulting expression allows the probability of tornado occurrence to be calculated using variables that are computed by weather prediction and climate models, thus compensating for the lack of resolution needed to resolve these phenomena in numerical simulations

Meningococcal C conjugate vaccine effectiveness before and during an outbreak of invasive meningococcal disease due to Neisseria meningitidis serogroup C/cc11, Tuscany, Italy

Introduction: In Tuscany, Italy, where a universal immunization program with monovalent meningococcal C conjugate vaccine (MCC) was introduced in 2005, an outbreak of invasive meningococcal disease (IMD) due to the hypervirulent strain of Neisseria meningitidis C/cc11 occurred in 2015–2016, leading to an immunization reactive campaign using either the tetravalent (ACWY) meningococcal conjugate or the MCC vaccine. During the outbreak, IMD serogroup C (MenC) cases were also reported among vaccinated individuals. This study aimed to characterize meningococcal C conjugate vaccines (MenC-vaccines) failures and to estimate their effectiveness since the introduction (2005–2016) and during the outbreak (2015–2016). Methods: MenC cases and related vaccine-failures were drawn from the National Surveillance System of Invasive Bacterial Disease (IBD) for the period 2006–2016. A retrospective cohort-study, including the Tuscany' population of the birth-cohorts 1994–2014, was carried out. Based on annual reports of vaccination, person-years of MenC-vaccines exposed and unexposed individuals were calculated by calendar-year, birth-cohort, and local health unit. Adjusted (by birth-cohort, local health unit, and calendar-year) risk-ratios (ARR) of MenC invasive disease for vaccinated vs unvaccinated were estimated by the Poisson model. Vaccine-effectiveness (VE) was estimated as: VE = 1-ARR. Results: In the period 2006–2016, 85 MenC-invasive disease cases were reported; 61 (71.8%) from 2015 to 2016. Twelve vaccine failures occurred, all of them during the outbreak. The time-interval from immunization to IMD onset was 20 days in one case, from 9 months to 3 years in six cases, and ≥7 years in five cases. VE was, 100% (95%CI not estimable, p = 0.03) before the outbreak (2006–2014) and 77% (95%CI 36–92, p < 0.01) during the outbreak; VE was 80% (95%CI 54–92, p < 0.01) during the overall period. Conclusions: In Tuscany, MenC-vaccine failures occurred exclusively during the 2015–2016 outbreak. Most of them occurred several years after vaccination. VE during the outbreak-period was rather high supporting an effective protection induced by MenC-vaccines

High-level multiplexing in digital PCR with intercalating dyes by coupling real-time kinetics and melting curve analysis.

Digital polymerase chain reaction (dPCR) is a mature technique that has enabled scientific breakthroughs in several fields. However, this technology is primarily used in research environments with high-level multiplexing representing a major challenge. Here, we propose a novel method for multiplexing, referred to as amplification and melting curve analysis (AMCA), which leverages the kinetic information in real-time amplification data and the thermodynamic melting profile using an affordable intercalating dye (EvaGreen). The method trains a system comprised of supervised machine learning models for accurate classification, by virtue of the large volume of data from dPCR platforms. As a case study, we develop a new 9-plex assay to detect mobilised colistin resistant (mcr) genes as clinically relevant targets for antimicrobial resistance. Over 100,000 amplification events have been analysed, and for the positive reactions, the AMCA approach reports a classification accuracy of 99.33 ± 0.13%, an increase of 10.0% over using melting curve analysis. This work provides an affordable method of high-level multiplexing without fluorescent probes, extending the benefits of dPCR in research and clinical settings

Growth factor-binding compounds and methods of use

Growth factor binding compounds having a plurality of acyclic isophthalic acid groups attached to a non-peptide organic scaffold and pharmaceutical compositions of the same are disclosed. Methods of administering and using the growth factor binding compounds or the growth factor binding compositions are also taught. These novel growth factor binding compounds are useful for treating angiogenesis, excessive cellular proliferation, tumor growth, and a combination thereof as well as inhibiting growth factor binding to cells and phosphorylation

The Sky Arrow ERA, an innovative airborne platform to monitor mass, momentum and energy exchange of ecosystems

Substantial worldwide efforts are underway aimed at identifying the spatial and temporal distribution of the global sources and sinks of atmospheric carbon dioxide (CO2). The sink/source strength of vegetated surfaces at ground sites can now be estimated with reasonable accuracy and micrometeorological techniques are now well established, while difficulties exist in up scaling these figures to the regional and global scales. Airborne measurement of mass, momentum, and energy fluxes for boundary layer research has been available for decades requiring the use of large aircraft to carry instruments and dedicated support facilities. The advent of compact, lowpower instruments and high speed, high-capacity digital data acquisition systems has recently allowed small research aircraft to perform such measurements with high accuracy. This paper first describes the Sky Arrow ERA (Environmental Research Aircraft), a small research aircraft that has been recently developed in Italy, in the frame of an international scientific collaboration. This aircraft can be operated to measure fluxes of mass, momentum and energy while flying at low altitude and reduced ground speed. The fluxes are computed with the airborne eddy correlation technique. The basic theory at the basis of the flux measurement technique is also described in the paper, and two application examples are discussed to illustrate the quality and the accuracy of the measurements that can be made using this research platform. Potential applications of those data to parametrize land surface schemes, validate simulation models and provide extensive and reliable ground truthing for satellite remote sensing applications are highlighted

Approaches to the ethology of hydroids and medusae (Cnidaria, Hydrozoa)

The behavioural patterns of 26 species of Antho- and Leptomedusae (with or without medusa stage) were investigated by video recordings. The analysed activities were: answers to mechanical stimuli, prey capture and ingestion, digestion, egestion, and swimming. The quantity of behavioural patterns identified in the small number of hydrozoan diversity studied so far is sufficient to demonstrate that these supposedly "simple" animals have evolved a complex array of responses to both external and internal stimuli