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• Image quality metrics in the context of movie restoration. • Use and test of some metrics as tool for restorers. • A single metric is not sufficient to assess the quality of a frame. This paper describes the digital acquisition and restoration of a Super 8 documentary on the origins of citizens' awareness on paper recycling in the city of Brescia, Lombardy, northern Italy. This film is currently stored in Fondazione ASM archives, and its acquisition is part of a larger project of preservation of industrial memories in Italy. Here we describe the tools used for the acquisition and the post-processing with a Spatial Colour Algorithm (SCA) for unsupervised colour and contrast enhancement. This method provides a semi-automatic image restoration, whose quality has been tested through different evaluations. In this paper, some advantages of the use of SCAs in the restoration pipeline are presented, together with a preliminary discussion on the problem of assessing frame restoration results. To this aim, we present objective vs. subjective evaluation, and some issues associated with this complex task. The most used full-reference and no-reference metrics have been used, together with alternative low-level descriptors. Data and examples are presented and discussed. [ABSTRACT FROM AUTHOR]

Abstract: The paper manufacturing process remained unchanged for many centuries, until, in the nineteenth century, the crisis of rags led industrialized countries to patent new production processes with different raw materials. This study deals with this period of transition by analyzing four samples stored at the archives of Superintendency Beni Architettonici per il Paesaggio e per il Patrimonio Storico Artistico ed Etnoantropologico (BAPPDAD) of Venice Lagoon, based in the Palazzo Ducale. The samples were analyzed by FT-IR (ATR), SEM-EDS, HPLC-MS/MS and Py-GC/MS. These techniques allow the characterization of various raw materials and adhesives used in various stages of paper production. These analyses have found a gradual introduction of ground wood in the composition of papers from the mid-nineteenth century, and the use of rosin as glue only in more recent documents. [Copyright &y& Elsevier]

The main aim of this study was to define a procedure useful to evaluate the potential environmental, social and economic benefits contained in paper and cardboard (or other recyclables), which are wasted in the unsorted fraction of municipal solid waste (MSW). To give a practical example, the procedure was applied to the 550 municipalities of the Campania region, in Southern Italy, but the developed procedure is applicable in any context in an 'urban mining' perspective. The procedure consists of five phases and uses two methodologies: one for the estimation of the composition analysis of the unsorted residual waste and another for the calculation of sustainability indicators able to measure the benefits wasted in the unsorted residual MSW. Six indicators were defined: two for the environment (carbon footprint and ecological footprint), two for the society (health footprint and occupational benefits) and two for the economy (economic profit and economic saving). The first methodology was developed by the regional environmental protection agency to update the MSW regional management plan. The second methodology is based on the use of the Life Cycle Assessment (LCA) through which it was possible to calculate the reference parameters useful for the calculation of the impacts (i.e., loss of benefits) for recycling, mechanical and biological treatment (MBT), incineration and landfilling of paper and cardboard contained in the unsorted residual waste. The obtained results confirmed the presence of such an enormous deposit of recyclable materials contained in the unsorted residual waste, which is a potential source, but not exploited, of environmental, social and economic benefits. For instance, the paper and cardboard 'urban mine' of Naples was greater than 16 million of euro (economic profit + economic saving), with a potential saving of around 11.4 million of kgCO 2 eq. (carbon footprint), 207 million of m2 (ecological footprint), 44 Disability Adjusted Life Years (health footprint), with a creation of 30 job positions in the waste management sector (occupational benefits). [Display omitted] • A procedure consisting of five phases was developed using two methodologies. • One methodology estimates the composition analysis of the unsorted residual waste. • Another methodology used a Life Cycle Assessment (LCA) approach. • Two indicators for the environment, two for the society and two for the economy. • The paper and cardboard 'urban mine' of Naples was greater than 16 million of euro. [ABSTRACT FROM AUTHOR]

On-orbit servicing and on-orbit assembly represent very appealing mission concepts that could facilitate the exploitation of the space environment. Autonomy is a critical requirement for systems aimed at the execution of these operations. The development of enabling technologies for this type of missions is a focal research topic for the global space community. The AUTOMA project (University of Padua, Italy) aims at the development of technologies to enable the on-orbit assembly of a standardized modular unit by means of a robotic arm. The goal is the development of a capture interface, composed of a gripper mechanism and a suite of close-range navigation sensors (a navcam, four time-of-flight sensors, two custom matrix sensors based on a set of phototransistors), and the mock-up of a modular assembly unit. The paper prevalently focuses on the conspicuous series of tests that has been performed at subsystem level for the characterization of the two custom matrix sensors, both in terms of their resolution and range of application. In particular, the test campaign has proven how the in-plane matrix sensor provides information about lateral misalignment and relative distance with a resolution of a few millimetres while the roll matrix sensor provides information about the angular roll misalignment with a resolution dependent on the distance between the two bodies. In addition, an analytical relation for the computation of the relative distance through the information provided by the in-plane matrix has been investigated. • Capture interface composed of a gripper mechanism and a suite of close-range navigation sensors. • Design of a standardized unit mock-up for modular assembly. • Custom sensors based on a matrix of phototransistors activated by an infrared LED beacon counterpart. • Testing campaign aimed at the characterization of the custom matrix sensors. • Analysis of a relation for the retrieval of the relative distance based on the number of phototransistors activated. [ABSTRACT FROM AUTHOR]

Projectile implements are one of the most frequent transformed lithic blanks within the Upper Paleolithic assemblages. Since the first taxonomic studies, their morphological variability has been used as primary fossil director to define specific regional trends and diachronic phases. However, an exhaustive analysis of manufacturing methods and techniques applied to shape this gear category is extremely rare. In fact, during the Late Epigravettian, except for a certain typological variability, the lack of detailed studies resulted in an apparent homogeneity in armatures production. In this paper, a technological and traceological approach applied to reconstruct the whole chaîne opératoire of armatures manufacture in three Northern Italian sites dated between 17,000 and 12,000 cal BP demonstrates important variations in how projectile implements are fashioned, concerning shape, production methods and retouch techniques. Moreover, a large-scale comparison suggests how renewals in projectile implements production in North-Eastern Italy may result from long-distance connections between human groups over the western Late Epigravettian territory. [ABSTRACT FROM AUTHOR]

In this paper, we study the structural change in both central-northern and southern Italy, focusing on its implications for productivity dynamics and its micro-economic determinants. We document three main results. First, between 2001 and 2018, the deindustrialization process involved both areas; however, in the southern regions it mostly started after the financial crisis. In the South, the employment shares in low knowledge-intensive services increased more than in the central-northern area, whereas those in high knowledge-intensive services increased less markedly. Second, structural change slowed down productivity growth in the central and northern regions, but had no role in the productivity fall in the South. Finally, in central and northern Italy, employment growth was driven by the net creation of jobs among incumbents and larger firms. In contrast, employment dynamics in the southern regions largely reflected the process of firms entering and exiting the market, in particular in less knowledge-intensive service sectors, and in young and smaller enterprises. [ABSTRACT FROM AUTHOR]

The development of new technological innovations for eco-friendly vehicles combined with the usage of renewable energy sources is essential for mitigating the environmental impact of freight transport. In this context, this paper investigates the opportunities for implementing the eHighway system, a novel recent technology designed to supply new hybrid trucks. This technology uses overhead catenary heavy-duty vehicles that are supplied with electric energy from overhead power lines through a pantograph that is positioned at the top of the truck. A novel bi-level multi-objective network electrification design (BM-NED) model is proposed to assess the environmental benefits and opportunities of adopting eHighways, considering the limited budgetary resources for road infrastructure electrification. Still, the implementation of eHighways requires collaboration between public and private stakeholder interests. The upper level considers multiple objectives aiming at minimizing the total travel cost, infrastructure, and environmental costs and maximizing the average traffic density of OC hybrid trucks on electrified arcs, whereas the lower level is the traffic assignment model. The Elitist multi-objective Genetic Algorithms are used as a solution approach for the multi-objective optimization and the Pareto front of the non-dominated solutions have been generated. Results of the model, tested on a part of a motorway network in the Veneto region in Italy, show that the implementation of the eHighway system can lead to an average emission reduction of about 66%, considering all Pareto-optimal solutions. Furthermore, a sensitivity analysis has been carried out by giving different weights to the objective functions that can be a basis for decision-makers regarding the adoption of this new technology. • The implementation of the eHighway system is investigated to evaluate its benefits. • A novel bi-level multi-objective network electrification design model is proposed. • The model is tested on a part of a motorway network in the Veneto region (Italy). • Sensitivity analysis evaluates different solutions for potential decision-makers. • The study gives insights for policy makers regarding eHighway adoption. [ABSTRACT FROM AUTHOR]

Precision Agriculture (PA) has revolutionized crop management by leveraging information technology, satellite positioning data, and remote sensing. One crucial component in PA applications is the Normalized Difference Vegetation Index (NDVI), which offers valuable insights into crop vigor and health. However, discontinuity of optical satellite acquisitions related to cloud cover and the huge load of the required processing time pose challenges to real-time applications. NDVI prediction emerges as an innovative solution to address these limitations. It allows for proactive decision-making by providing accurate estimates, enabling farmers and land managers to plan essential agronomic activities such as irrigation, fertilization, and pest control, based on anticipated future conditions. This study introduces an Artificial Neural Network (ANN) model incorporating NDVI, Normalized Difference Water Index (NDWI), temperatures, and precipitation as predictive variables. The model employs a novel time series slicing algorithm, Boosting Adaptive Time Series Slicer (BATS), to enhance the input training dataset's variability, presenting the model with a broader range of examples. A 2-Bidirectional Long Short-Term Memory (LSTM) forecasting model was developed to predict future NDVI values over short and medium-term horizons. The study area used to train, test and validate the ANN corresponds to a diverse landscape of cultivated corn fields located in Piemonte (NW-Italy). Results showed that NDVI future estimates were accurate; considering three time horizons for predictions (5, 10, and 15 days) RMSE values resulted to be 0.028, 0.038 and 0.050, respectively. Additionally, ablation tests proved that the most important variable for enhancing the model's accuracy is the NDWI, and the most useful timesteps are the four most recent ones. To preliminary investigate the capability of the ANN to operate over a wider and different area it was applied over the entire Europe, using the LUCAS dataset as reference map to locate corn fields. Results show RMSE of 0.062, 0.083 and 0.105 for the 5, 10 and 15 days forecasting horizons, respectively. The methodology proposed in this paper can be a possible alternative to more ordinary approaches for NDVI forecasting that nowadays appears to be a fundamental step for a proactive precision agriculture where crop management can be significantly improved. Future developments should explore the use of sequence-to-sequence ANNs to predict the development of multiple spectral indices over multiple crop types simultaneously. [ABSTRACT FROM AUTHOR]

The aim of the study was to perform dimensional, morpho-structural, mechanical and chemical characterization of four materials based on paper currently in use in Romania (RO), Italy (IT), Spain (SP) and Slovenia (SLO) designed for the temporarily wrapping of meat. SEM-EDXS, FTIR and DSC showed that RO is laminated on one side with polyethylene, SP is waxed, IT is modified with a multilayered polyethylene film and SLO is coated with hydrophobized starch. RO, IT and SLO comply with the standards of determination of density, roughness, breaking length and bending resistance. The highest content of metals found in the SP explains the highest electrical conductivity and the poor quality of the recycled material used for manufacturing. The highest values of total dissolved solids (TDS) and chemical oxygen demand (COD) resulted for SP sample expressed its water solubility and availability of migration into foodstuff. RO, IT and SLO are suitable for food packaging. In contrast, SP do not meet the requirements for safety and mechanical resistance. [Display omitted] • Characterization of four types of materials based on paper. • RO, IT-single-face coated with PE, SP-double-side waxed, SLO-coated with starch. • RO, IT, SLO comply the standards of mechanical resistance and are suitable for food packaging. • SP do not meet the requirements for safety and mechanical resistance. [ABSTRACT FROM AUTHOR]

Freedom of Information (FOI) is considered a crown jewel of reforms fostering public administration transparency and accountability. However, FOI's symbolic power alone cannot overcome the organizational barriers and obstacles to its effective implementation. This paper presents the results of a field experiment performed in Italy, a late FOI adopter, where an FOI request was sent to the 307 municipalities with more than 30k inhabitants. The experimental design exploits marginal wording variation in the requests to test whether municipalities discriminate between ordinary citizens and high-profile requesters. The experimental evidence suggests that most Italian municipalities reply to FOI requests. The results show two opposite types of discretionary bias: Northern municipalities tend to favor high-profile requesters, whereas Southern municipalities tend to respond to them with a higher degree of attrition. The study investigates the determinants of this difference. [ABSTRACT FROM AUTHOR]

• A multimodal computational approach was used for the 3D survey of a panel painting. • Data from close-range photogrammetry and laser microprofilometry were fused. • The warping arrow before and after restoration was quantified on the 3D point cloud. • Multi-temporal monitoring of the painting is computed via Cloud-to-Cloud distance. • Micrometric roughness of paint layers is measured by laser microprofilometry. This paper reports the results obtained from the workflow designed for the 3D survey of a Renaissance panel painting using close-range photogrammetry and conoscopic laser microprofilometry, before and after its restoration. The artwork under examination is the central panel of a Renaissance polyptych realized by a late Gothic painter active in central Italy in the late 15th century. This painting has had a rather troubled conservation history following numerous adverse events that have severely damaged it structurally. In preparation for restoration work, the fusion of point cloud data derived from active and passive sensors served to create a single multi-resolution model on which to conduct advanced metrological analyses for multi-temporal monitoring of the changes undergone by the panel painting during and after structural restoration. [ABSTRACT FROM AUTHOR]

Cooperative, connected and automated mobility (CCAM) has a great potential to change drastically the mobility landscape and improve safety on the roads by assisting drivers to take the best decisions in given circumstances or by supporting autonomous driving features aboard the car, among other expected benefits. Yet, providing CCAM services poses not only technical but also business challenges, especially in cross-border environments. In this paper, we present a general techno-economic methodology intended first, to identify the cross-border ecosystem and the potential business models to enable CCAM services provision and second, to derive the Total Cost of Ownership (TCO) of deploying the required Vehicle to Infrastructure (V2I) and Vehicle to Network (V2N) infrastructure. As an illustration, we then apply this methodology to a canonical Cooperative Lane Merging (CLM) scenario in a representative border environment (i.e., the Brenner pass between Italy and Austria). On this occasion, the impact of Multi-access Edge Computing (MEC) placement on the deployment cost is also discussed and finally, a cost allocation model is developed to link these deployment costs to the key stakeholders within the identified business models. Results aim to give insights into the different deployment strategies in typical cross-border environments and settings. • This paper presents a comprehensive techno-economic analysis of providing CCAM services in cross-border environment considering both technical and business challenges. • Proposed business models based on the adoption of new 5G technologies namely network slicing and MEC to ensure seamless service provision. • Collaborative business model is the most promising but needs review of regulations. • The collaborative business model is particularly attractive when considering the implementation of passive and active network sharing strategies. • Cost modelling results provide TCO insights for 5G network deployment scenarios. [ABSTRACT FROM AUTHOR]

This paper presents a novel energy management strategy (EMS) to control a wind-hydrogen microgrid which includes a wind turbine paired with a hydrogen-based energy storage system (HESS), i.e., hydrogen production, storage and re-electrification facilities, and a local load. This complies with the mini-grid use case as per the IEA-HIA Task 24 Final Report, where three different use cases and configurations of wind farms paired with HESS are proposed in order to promote the integration of wind energy into the grid. Hydrogen production surpluses by wind generation are stored and used to provide a demand-side management solution for energy supply to the local and contractual loads, both in the grid-islanded and connected modes, with corresponding different control objectives. The EMS is based on a hierarchical model predictive control (MPC) in which long-term and short-term operations are addressed. The long-term operations are managed by a high-level MPC, in which power production by wind generation and load demand forecasts are considered in combination with day-ahead market participation. Accordingly, the hydrogen production and re-electrification are scheduled so as to jointly track the load demand, maximize the revenue through electricity market participation and minimize the HESS operating costs. Instead, the management of the short-term operations is entrusted to a low-level MPC, which compensates for any deviations of the actual conditions from the forecasts and refines the power production so as to address the real-time market participation and the short time-scale equipment dynamics and constraints. Both levels also take into account operation requirements and devices' operating ranges through appropriate constraints. The mathematical modeling relies on the mixed-logic dynamic (MLD) framework so that the various logic states and corresponding continuous dynamics of the HESS are considered. This results in a mixed-integer linear program which is solved numerically. The effectiveness of the controller is analyzed by simulations which are carried out using wind forecasts and spot prices of a wind farm in center-south of Italy. • Design of control algorithms for islanded and grid-connected microgrids. • Development of hierarchical MPCs to target long-term and short-term operations. • Tracking the load demand and maximizing the revenue via electricity markets. • Minimization of the HESS operational costs. [ABSTRACT FROM AUTHOR]

This paper takes advantage of the COVID-19 outbreak to explore the determinants of firms' R&D choices around an exogenous shock. We make use of unique panel data on 7,800 Italian companies between January –right before the pandemic– and March 2020 –amid lockdown policies. We exploit the short-run revision in firms' research plans to test the impact of deteriorating expectations and uncertainty on firms' R&D. In addition to the significant role played by firms' expectations, we find that preexisting innovative activities significantly shaped the reaction to the general uncertainty shock. • We explore the determinants of firms R&D choices around an exogenous shock. • We test the differential effect of deteriorating expectations and uncertainty on firms' R&D. • Expectations on future demand have a dramatic effect, especially for innovative companies. • Characteristics of the innovative process shape firms' reaction to the general uncertainty. • Newly innovative and transitioning companies are particularly affected. [ABSTRACT FROM AUTHOR]

Gait analysis is recognized as a useful assessment tool in the field of human movement research. However, doubts remain on its real effectiveness as a clinical tool, i.e. on its capability to change the diagnostic-therapeutic practice. In particular, the conditions in which evidence of a favorable cost-benefit ratio is found and the methodology for properly conducting and interpreting the exam are not identified clearly. To provide guidelines for the use of Gait Analysis in the context of rehabilitation medicine, SIAMOC (the Italian Society of Clinical Movement Analysis) promoted a National Consensus Conference which was held in Bologna on September 14th, 2013. The resulting recommendations were the result of a three-stage process entailing i) the preparation of working documents on specific open issues, ii) the holding of the consensus meeting, and iii) the drafting of consensus statements by an external Jury. The statements were formulated based on scientific evidence or experts' opinion, when the quality/quantity of the relevant literature was deemed insufficient. The aim of this work is to disseminate the consensus statements. These are divided into 13 questions grouped in three areas of interest: 1) General requirements and management, 2) Methodological and instrumental issues, and 3) Scientific evidence and clinical appropriateness. SIAMOC hopes that this document will contribute to improve clinical practice and help promoting further research in the field. [ABSTRACT FROM AUTHOR]

Hydrogen supplying to industrial users is currently the major hydrogen business worldwide and the demand for hydrogen is almost entirely supplied from fossil fuels. In the last years a widespread interest on hydrogen has grown as energy vector for the decarbonization of multiple sectors, including industry, transport and buildings. Nevertheless, the impact of natural gas and other fossil fuels substitution with hydrogen is highly affected by the mix of different technologies and energy sources applied for hydrogen generation. The paper aims to investigate current CO 2 emissions related with hydrogen generation in Australia and Italy by means of PEM and alkaline technologies; and to evaluate the potential impact considering cell characteristics variation and 3 scenarios based on energy mix. A sensitivity analysis is performed to identify the critical parameters. Based on experimental data, the energy consumption for hydrogen production using PEM technology is more sensitive to cell voltage compared to current density, which indicates the importance of cell manufacturing and electrolyte resistance. In addition, by performing sensitivity analysis regarding energy sources scenarios it is found that carbon dioxide emission in Australia is more sensitive to renewable energy sources rather than Italy. [Display omitted] • Importance of manufacturing and electrolyte resistance because of high PEM energy consumption sensitivity to cell voltage. • Predicted emission in 2030 is 5–10 kg CO 2 using PEM/alkaline technology in Italy. • 18% reduction of national electricity grid CO 2 emission in Australia is predicted. (In 2030 in comparison to 2019). [ABSTRACT FROM AUTHOR]

Public infrastructure procurement is a crucial policy tool, a prerequisite for public and private investments and for economic and social capital growth. Low performance in execution severely hinders infrastructure provision and benefits delivery. One of the most sensitive phases in public infrastructure procurement is the design because of the strategic relationship that it potentially creates between procurers and contractors in the execution stage, affecting the costs and the duration of the contract. In this paper, using recent developments in non-parametric frontiers and propensity score matching, we evaluate the performance in the execution of public works in Italy. The analysis provides robust evidence of significant improvement of performance where procurers opt for design and build contracts, which lead to lower transaction costs, allowing contractors to better accommodate the project in the execution. Our findings bear considerable policy implications. [ABSTRACT FROM AUTHOR]

[Display omitted] • Management of organic fraction of MSW (OFMSW) and excess sludge is difficult. • Anaerobic codigestion of these two substrates in presence of bioplastic is analyzed. • Influence of bioplastics on methane production has not been evidenced. • Bioplastic biodegradation is very limited and the presence of fragments is evident. • A possible increase in phytotoxicity has been also signalized. Co-digestion of the organic fraction of municipal solid waste (OFMSW) and excess sludge has several benefits especially related to improved methane production and better process stability. In recent years, the presence of biodegradable plastics is increasingly common in OFMSW especially since, as in Italy, biodegradable bags are used for its collection. In this paper, the influence and the fate of biodegradable bags during anaerobic co-digestion of excess sludge and OFMSW are assessed. The best results in terms of methane yield (about 180 NmL/g VS) have been obtained with the 50:50 (VS basis) co-digestion of excess sludge and OFMSW with an organic loading rate of 2 kg VS /m3·d. Bioplastic degradation is very limited during the co-digestion but it does not influence methane production or digestate chemical characteristics. However, the feeding of bioplastic bags seems to induce a higher phytotoxicity and the presence of undigested fragments is anyway a problem for further treatment or direct utilization of digestate. [ABSTRACT FROM AUTHOR]

• Policymakers need electoral consensus to achieve sustainable structural transformation. • Structural change sustainability might be threatened by anti-system party consensus. • We analyze the local spending-electoral consensus nexus at municipal level in Italy. • We find that increasing local public spending reduces anti-system party consensus. • Heterogenous effects arise at different geographical areas and spending categories. This paper explores electoral consensus regarding local public spending as a way for policymakers, particularly in western democracies, to secure long-term electoral support to govern the sustainability of structural change. Public spending is perceived by local electoral constituencies as immediately affecting people's lives and thus strongly influences individual voting behaviour. Focusing on the case of Italy, this paper explores the electoral consensus–public spending nexus on the municipal level. The results show that, on average, an increase in local public spending is associated with a reduction in electoral consensus towards anti-system parties, whereas an increase in local public spending does not yield a significant raise in electoral consensus for pro-system parties. We find nevertheless heterogeneous effects across different geographical areas and spending categories for both anti-system and pro-system party consensus. The results yield insights for scholarly debate and implications for policymaking to garner the electoral consensus needed for sustainable structural change. [ABSTRACT FROM AUTHOR]

• The shareholding state in Italy emerges following the partial privatizations of State-Owned Enterprises (SOEs) in the 1990s. • The literature finds that states retaining minority stakes in their former SOEs are unlikely to influence corporate strategies. • This paper suggests that state minority stakes may serve state interests. • The decision to retain majority or minority stakes depends on sectoral specificities. • It also depends on the influence that private shareholders may exercise on the board. The shareholding state in Italy emerges following the partial privatizations of State-Owned Enterprises (SOEs) in the 1990s. As today, it is still debated whether the Italian state is using its controlling stakes in former SOEs to pursue policy objectives, or if it is acting passively as other financial shareholders. The limited contributions in this field of study find that states retaining a minority stake are unlikely to influence corporate strategies, while the opposite occurs when a majority stake is held. This paper suggests that minority stakes may also serve state interests even if the company's statute does not envisage the state to play an active role. The issue is explored through a case study of the partial privatizations of CDP, in which the state retains a majority stake, and Eni, in which the state retains a minority (albeit predominant) stake, and that operate respectively in the banking and energy sectors. Their different level of financialization unveils the diversified strategies adopted by the Italian state to preserve national interests. [ABSTRACT FROM AUTHOR]

• Risk assessment was estimated starting from environmental hazard data and vulnerability and • exposure information of architectural buildings. • Three different risk levels can be assessed starting from air pollution and meteorological data measured by national monitoring station network. • Vulnerability and exposure describe the conservation condition based on damage intensity. • Risk assessment as a tool to plan maintenance and restoration activities according a priority scale. Limestone monuments are generally subjected to natural and anthropogenic environmental threats. This paper describes a methodology to assess the risk of surface recession damage, due to air pollution and meteorological factors, to architectural buildings in Italy. Through the elaboration of environmental data and information on conservation conditions of cultural heritage, three different risk models were identified: i) the territorial risk, obtained combining territorial hazard information with the density of historic buildings defined at municipal scale; ii) the individual risk, attained by overlapping territorial hazard data at municipal scale, with surface vulnerability and exposure information of a single monument; iii) the local risk, defined starting from the combination of territorial hazard at sub-municipal scale, with vulnerability and exposure information of a single monument. The first model refers to the risk of an aggregate of cultural assets located in a municipality, while the other two indicators identify the damage risk of a single monument at municipal and sub-municipal spatial scales. The proposed method was applied, using GIS (Geographical Information System) application, to identify the three risk models for Italian architectural buildings using environmental and monument conservation data updated to 2018. The territorial hazard was defined by assessing the material loss damage expressed as surface recession and quantified starting from air pollutant concentrations and meteorological data measured by the monitoring station network of Italy in 2018. The vulnerability and exposure information were extracted from the Italian Risk Map of Cultural Heritage system. The obtained results allowed to identify the potentially most aggressive areas from climatic and environmental point of view and the architectural buildings most exposed to surface recession risk. The methodology described in this paper can be therefore considered as a tool that can be used, by policy makers, to plan priority maintenance and conservation activities in order to reduce the progress and the intensity of decay on outdoor cultural properties. [Display omitted] [ABSTRACT FROM AUTHOR]

• SeSAME system for collecting and analysing the behaviours of visitors inside a museum environment. • SeSAME is based on a multi-modal deep neural network architecture. • SeSAME uses re-identification techniques to perform visual profiling of visitor interest. • SeSAME aims at developing a tailored user experience in museum environment. Nowadays, understanding and analysing visitors activities and behaviours is becoming imperative for personalising and improving the user experience in a museum environment. Users' behaviour can provide important statistics, insights and objective information about their interactions, such as attraction, attention and action. These data represent a precious value for the museum curators, and they are one of the parameters that need to be assessed. These information are collected through manual approaches based on questionnaires or visual observations. This procedure is time consuming and can be affected by the subjective interpretation of the evaluator. From such premises, SeSAME (Senseable Self Adapting Museum Environment) a novel system for collecting and analysing the behaviours of visitors inside a museum environment is presented in this paper. SeSAME is based on a multi-modal deep neural network architecture able to extract anthropometric and appearance features from RGB-D videos acquired in crowded environments. Our approach has been tested on four different temporal modelling methods to aggregate a sequence of image-level features into clip-level features. This paper uses as a benchmark TVPR2, a public dataset of acquired videos with an RGB-D camera in a top-view configuration, in the presence of persistent and temporarily heavy occlusion. Moreover, a dataset specifically collected for this work has been acquired in a real museum environment, which is Palazzo Buonaccorsi, an important historical building in Macerata, in Marche Region in the center of Italy. During the experimental phase, the evaluation metrics show the effectiveness and the suitability of the proposed method. [ABSTRACT FROM AUTHOR]

This paper presents the first detailed analysis of cloud-to-ground (CG) and intra-cloud (IC) strokes characteristics from the Lightning Detection Network (LINET) over Italy and the Central Mediterranean area, a lightning active area in south Europe. We study the strokes over a 13-year period from 2010 to 2022, aiming to understand how it varies with different temporal scales (hourly, monthly, seasonally, and yearly), surface types (sea and land), and ground levels (0–100 m ; 100–200 m ; 200–400 m ; 400–800 m ; 800–1200 m ; 1200–2000 m and above 2000 m). We found that the stroke's maximum activity was observed in August; specifically, July has the maximum activity over the land with a maximum diurnal peak in the afternoon, while in September, the convection shifts over the sea with a secondary daily maximum in the morning. The largest current intensities are observed in January, over sea and during nighttime. Moreover we found that stroke current intensities, polarity and IC height emissions are influenced by ground altitude level. Our paper provides new insights into the spatio-temporal patterns and characteristics of lightning over Italy and the Central Mediterranean area, which can be useful for improving weather forecasting, climate modeling, risk assessment, and damage mitigation strategies in this area. • Orography has strong impact on lightning density, polarity, intensity and discharge height. • Vigorous convection develops over the land in summer and over the sea in autumn. • Overall stroke density reaches its peak in August. • Atmospheric instability decreases the breakdown threshold increasing weaker strokes. [ABSTRACT FROM AUTHOR]

This paper examines the underexplored impact of the procedures in public contracts on market allocation efficiency that are at risk of corruption. We integrated the GMM-SYS estimator with analyses of a balanced panel database of all the provinces in Italy between the period 2013–2021. The use of a high level of spatial granularity in an under-researched context revealed two distinct scenarios. In competitive markets, a more entrepreneurial and less widespread form of corruption emerged which may enhance market efficiency (bottom-up pattern). Conversely, in a context with limited market competition and low institutional quality, corruption indicators may be less useful due to potential pre-bribery behavior (top-down pattern). Our study underscores the capacity of corrupt suppliers to exploit market opportunities and secure selection. We found that corruption risk practices within public contracts have the potential to improve market efficiency, thus rendering them appealing to corrupt suppliers due to their capacity to deliver economic advantages. This also applies to provinces with high-quality governance. Additionally, the paper highlights the limitations of indicators in alternative contexts. The paper has significant implications for policymakers in defining assignation criteria in high-quality contexts, but also offers insights into the effectiveness of grand corruption indicators for academics. • Examines the impact of public contract procedures on market efficiency. • GMM-SYS estimator and innovative matching DID for panel analysis. • Bottom-up corruption in competitive markets, top-down in less competitive ones. • Corrupt suppliers exploit market opportunities, enhancing efficiency. • Offers insights in assignation criteria, and limitation of indicators. [ABSTRACT FROM AUTHOR]

The number and importance of renewable energy communities (RECs) are increasing in all European countries due to the support of EU and national policies in order to foster the energy transition through participatory strategies for distributed energy systems. However, their development is rather slow in some countries, including Italy. The paper addressed the issue of the emergence of these socio-technical configurations in Italy, after the related law which entered into force in 2020 allowing the possibility of creating them. Our study focused on the alliances among different actors (professionals, institutions, NGOs, citizens) highlighting possible trends or models for the future that need to be confirmed in further research. The approach proposed to analyse this current process is the Actor-Network Theory, aiming at drawing the assemblages of human and non-human actants at a general level. Accordingly, we selected three case studies in order to show their different ways of organising, the relevance of trust in establishing each REC and the influence of local context on the composition and features of the actor-networks. [ABSTRACT FROM AUTHOR]

In the framework of the NWO project "What went into the melting pot? Land-use, agriculture, and craft production as indicators for the contributions of Greek migrants and local inhabitants to the so-called Greek colonization in Italy (ca. 850–550 BC)", science-based methods are employed to analyze and compare the organization of subsistence strategies in the Greek motherland and in the indigenous and colonial milieus of Italy (Crielaard et al. 2020). As a part of the subproject 'Flora & Fauna', which focuses on farming practices, subsistence strategies and surplus production, Iron Age material from the settlement of Krania in the Pieria region of Greece was analyzed. The site was excavated in 2001 and revealed occupation phases from the 3rd millennium BC to the Hellenistic period. The amount of ceramics recovered demonstrates the importance of trade with the rest of Greece, in particular Corinth, providing evidence for long-standing contacts and networks. Two pit structures contained a high concentration of material, notably charcoal and ceramics dating to the 9th-8th centuries BC. This material constitutes an interesting case study in itself but also as a regional comparandum with other Greek assemblages. This paper discusses how anthracological analysis can contribute to our understanding of human-environment interactions, anthropogenic practices and environmental management. [ABSTRACT FROM AUTHOR]

The literature lacks a systematic analysis of HRS equipment and operating standards. Researchers, policymakers, and HRS operators could find this information relevant for planning the network's future expansion. This study is intended to address this information need by providing a comprehensive strategic overview of the regulations currently in place for the construction and maintenance of hydrogen fueling stations. A quick introduction to fundamental hydrogen precautions and hydrogen design is offered. The paper, therefore, provides a quick overview of hydrogen's safety to emphasize HRS standards, rules, and regulations. Both gaseous and liquid safety issues are detailed, including possible threats and installation and operating expertise. After the safety evaluation, layouts, equipment, and operating strategies for HRSs are presented, followed by a review of in-force regulations: internationally, by presenting ISO, IEC, and SAE standards, and Europeanly, by reviewing the CEN/CENELEC standards. A brief and concise analysis of Italy's HRS regulations is conducted, with the goal of identifying potential insights for strategic development and more convenient technology deployment. [ABSTRACT FROM AUTHOR]

[Display omitted] • A new and efficient fractional model is explored for the investigation of COVID-19 dynamics. • The associated dynamical behaviors are discussed in terms of equilibrium points, invariant region, etc. • To implement the proposed model numerically, an efficient approximation scheme is also employed. • Simulation results are compared with a real case of COVID-19 pandemic in Italy. • As a result, the new fractional model simulates the reality more precisely than the other classical frameworks. Mathematical modelling is a rapidly expanding field that offers new and interesting opportunities for both mathematicians and biologists. Concerning COVID-19, this powerful tool may help humans to prevent the spread of this disease, which has affected the livelihood of all people badly. The main objective of this research is to explore an efficient mathematical model for the investigation of COVID-19 dynamics in a generalized fractional framework. The new model in this paper is formulated in the Caputo sense, employs a nonlinear time-varying transmission rate, and consists of ten population classes including susceptible, infected, diagnosed, ailing, recognized, infected real, threatened, diagnosed recovered, healed, and extinct people. The existence of a unique solution is explored for the new model, and the associated dynamical behaviours are discussed in terms of equilibrium points, invariant region, local and global stability, and basic reproduction number. To implement the proposed model numerically, an efficient approximation scheme is employed by the combination of Laplace transform and a successive substitution approach; besides, the corresponding convergence analysis is also investigated. Numerical simulations are reported for various fractional orders, and simulation results are compared with a real case of COVID-19 pandemic in Italy. By using these comparisons between the simulated and measured data, we find the best value of the fractional order with minimum absolute and relative errors. Also, the impact of different parameters on the spread of viral infection is analyzed and studied. According to the comparative results with real data, we justify the use of fractional concepts in the mathematical modelling, for the new non-integer formalism simulates the reality more precisely than the classical framework. [ABSTRACT FROM AUTHOR]

It is beyond doubt that Solow's proposal for "an elementary way of segregating variations in output per head due to technical change from those due to the availability of capital per head" (Solow, 1957, p. 312) leading to the 'residual', and hence, TFP growth, has been a crucial development of Neoclassical economics. This notwithstanding, the critique of (and alternative to) Solow's proposal advanced by Pasinetti (1959) has not been equally acknowledged. The debate re-emerged when a posthumous note by Richard Stone (1998[1960]) triggered a further exchange between the authors. This paper aims at retracing the key conceptual aspects of the discussion, pointing to some limitations of Pasinetti's original implementation of his measure of productivity changes, and providing an Input–Output generalisation based on Pasinetti's notion of hyper-integrated labour. Seen in this light, Pasinetti's computable measure of technical change provides a theoretically sound alternative to perform productivity analyses from a Classical perspective. • Review of debate between Solow and Pasinetti on productivity measurement. • Pasinetti's 1959 index of technical change co-moves with K/W, rather than with K/Q. • Input–Output reformulation validates Pasinetti's original intuition. • Novel indicator of direction of technical change at aggregate and sectoral levels. • Illustrative empirical application to the case of Italy. [ABSTRACT FROM AUTHOR]

• Food categories most wasted in Italy are fruit, vegetables, bread, milk and yogurt. • Larger town areas, 1 member families, and who have a low income wasted more. • Retired people and families with children wasted less. • This assessment poses the basis for a surveillance system on food waste in Italy. • Educational campaigns for specific target groups should be developed. In the present paper, the results of the first comparative assessment of household food waste in Italy are reported with a timeframe of three years coupled with an evaluation of seasonality effects. To pursue the aim of Sustainable Development Goal 12.3 to halve consumer food waste by 2030, the Italian Observatory on Food Surplus, Recovery and Waste carried out two surveys in 2021 (July and November) to characterize household food waste and to evaluate the seasonality effects. Data were collected with a validated questionnaire. For monitoring purposes, data collected in July 2021 were compared with those collected in July 2018. In three years, waste increased from 187.2 to 203.8 g per capita per week (p = 0.00). Fresh foods such as fruits and vegetables, bread, milk, yogurt, and non-alcoholic beverages, were the most wasted. In July the level of waste was higher for fruit (p = 0.00) while in November was higher for potato products (p = 0.04), pasta (p = 0.00), rice (p = 0.04), legumes (p = 0.01), and soups (p = 0.04). Data collected in July 2021 showed that retired people (p = 0.04), families with children (p = 0.01), particularly young children (9–13 years old) (p = 0.02), wasted less while who live in large town areas (p = 0.00), people with self-perceived limited monetary resources (p = 0.01) and mono-component families (p = 0.00) wasted more. The findings of the present work showed that there are specific population groups that wasted more with a gap between the intentions and the actions. The present data have a particular value posing the roots for the establishment of a food waste surveillance system in Italy. [ABSTRACT FROM AUTHOR]

The use of feed additives with antioxidant and immune response modulatory activity could be a useful strategy in suckling calves to reduce morbidity and mortality. This strategy is based on several feed additives tested for these purposes. The aim of the paper is the examination of a commercial feed additive for adult cows for use in calves, with and without nucleotide supplementation. Seventy-five Holstein Friesian male calves were divided in 3 groups, with each calf randomly assigned to a group according to birth order. All calves received 2 L of pooled colostrum within 2 h of birth. The commercial feed supplement group was orally administered with 5 g/head of Decosel (dried brewer's yeast lysate (Saccharomyces cerevisiae), brewer's yeast walls (Saccharomyces cerevisiae), diatoms, spirulina, barley flour, calcium carbonate; Agroteam srl, Torrimpietra, Italy) and the nucleotides + commercial feed supplement group was orally administered with 5 g/head of an additive containing 2.5 g of Decosel and 2.5 g of nucleotides once daily from birth to 25 d. The control group was orally administered 20 mL of fresh water/head once daily. Calves that received the supplement and the nucleotides showed lower rates of protein and metabolizable energy conversion, with longer villi and greater crypt depth in duodenum. Moreover, the commercial feed supplement alone increased antioxidant capacity [2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) and ferric-reducing antioxidant power] in plasma some activity of antioxidant liver enzymes, and peripheral blood mononuclear cell viability after in vitro concanavalin A and H 2 O 2 stimuli. Dietary supplementation with a commercial feed supplement containing yeast products (yeast cell walls and hydrolyzed yeast) and microalgae enhanced the redox balance and gut morphology in calves, allowing calves to improve their immune response, increasing resistance to stress. Moreover, these beneficial effects were strongly potentiated when dietary nucleotides were added to the supplement. [ABSTRACT FROM AUTHOR]

Hydrogen storage can help achieve climate change and reduce greenhouse gas emissions. This paper presents a first assessment of the suitability of northeastern Italy for underground hydrogen storage (UHS). The study focuses on the analysis of publicly available well data, which allowed identifying geological formations potentially suitable for UHS. The most promising area, known as the "Treviso Area" consists of both saline aquifers and depleted gas fields. One of the key petrophysical properties, i.e. porosity, was calculated for each of the five wells revealing conditions potentially suitable for UHS by applying empirical formulas to geophysical log data. For the two depleted gas fields, a hydrogen injection simulation was also performed. This work is a pioneer study and lays the foundation for hopeful further analyses, which could help implement the recently launched "North Adriatic Hydrogen Valley" initiative. [Display omitted] • A first assessment of underground hydrogen storage (UHS) in Italy is provided. • In NE Italy, saline aquifers and depleted gas fields are potentially suitable for UHS. • A key petrophysical property for UHS, porosity, is calculated from geophysical logs. • A simulation of hydrogen injection and production is provided. [ABSTRACT FROM AUTHOR]

Decision-making processes related to transportation systems are often very complex, belonging to the class of "wicked problems" in social studies. The literature and the media abound in examples of transportation planning "failures" including decisions made, delayed or withdrawn without any traceable motivations, public opposition, public opposition, extra costs/implementation times and outright cancellation, wrong traffic/revenue forecasts. Planning failures stem from several causes, including technical errors in forecasting predictable effects, lack of consensus, new governance cycles and inability to recognize the intrinsic uncertainty affecting some key variables. The underlying assumption of this paper is that the quality of the decision-making process critically depends on how the process is structured and managed. The paper proposes a conceptual model to represent and organize transport planning as a cognitive decision-making process with strong involvement of different stakeholders in various stages, accounting for different levels of uncertainty and including short- and long-term decisions options. The result is a planning process that allows for changes in objectives, strategies and decisions during different stages of the process itself, as is usually the case when different governance and socio-economic cycles succeed over time. However, the process maintains a form of procedural consistency and is intended to counteract the "Penelope syndrome", whereby decisions made under previous governance cycles are undone regardless of their merits and costs. The real-life implementation of the proposed model requires strong "political commitment" to an open and accountable decision-making process, a technical structure able to act as "process owner" coordinating technical and engagement activities, and a general societal attitude towards organized participation to public decision making. The proposed model was applied to the Regional Transportation Plan of Veneto in Italy where the above conditions applied. A number of lessons were learnt from that exercise: i) stakeholders' engagement revealed an important potential to manage uncertainty and increase consensus; ii) flexibility and robustness with respect to medium–to–high uncertainty levels already recognized at the time of the plan (immediately before the COVID-19 crisis) were an appreciated feature of the plan; iii) separation between mature decisions and those needing further analysis was a success strategy, reducing political "decision costs" (from naysaying) by delaying decisions still recognizing underlying needs; iv) reduced decision time (a largely bi-partisan vote in less than one year). • Transport-related decision-making process may lead to unsatisfactory results (failures). • The quality of the decision-making process is a key factor for a successful planning and design. • A novel cognitive participative decision-making model under uncertainty levels is proposed. • The application of the model to the Regional Transportation Plan of Veneto (Italy) is also discussed. • A number of lessons learned were derived. [ABSTRACT FROM AUTHOR]

Time perspective (TP) influences various aspects of human life. We aimed to explore the associations between TP, daily time use, and levels of functioning among 620 patients (313 residential patients and 307 outpatients) with a diagnosis of Schizophrenia Spectrum Disorders (SSD) recruited from 37 different centres in Italy. The Brief Psychiatric Rating Scale and the Specific Levels of Functioning (SLOF) were used to assess psychiatric symptoms severity and levels of functioning. Daily time use was assessed using an ad hoc paper and pencil Time Use Survey. The Zimbardo Time Perspective Inventory (ZTPI) was used to assess TP. Deviation from Balanced Time Perspective (DBTP-r) was used as an indicator of temporal imbalance. Results showed that the amount of time spent on non-productive activities (NPA) was positively predicted by DBTP-r (Exp(β): 1.36; p.003), and negatively predicted by the Past-Positive (Exp(β): 0.80; p.022), Present-Hedonistic (Exp(β): 0.77; p.008), and Future (Exp(β): 0.78; p.012) subscales. DBTP-r significantly negatively predicted SLOF outcomes (p.002), and daily time use, in particular the amount of time spent in NPA and Productive Activities (PA), mediated their association. Results suggested that rehabilitative programs for individuals with SSD should consider fostering a balanced time perspective to reduce inactivity, increase physical activity, and promote healthy daily functioning and autonomy. [ABSTRACT FROM AUTHOR]

The presence of surface layers with altered chemical composition in gold alloys is investigated exploiting X-ray line ratios populated in energy-dispersive X-ray fluorescence investigations. We show that the use of the Ag (L α /K α) X-ray ratio and the Ag (L α /K α)/Au (M α /L α) double-ratio allows to ascertain surface gold enrichment that can be attributed to a depletion of silver concentration in a thin (< 1 μ m) surface layer of the material. The formalism developed in this paper is exploited to probe the chemical composition of precious protohistoric gold findings belonging to the largest complex of Bronze Age gold ornaments ever found in Italy. The results support the findings of complementary micrography investigations, performed on the same collection, and are relevant to contribute to understanding techniques used in ancient metallurgy. • X-ray line ratios and double-ratios can be effectively used to non-destructively probe material surface layers. • The proposed framework can be exploited to analyze materials with even particularly thin surface alteration. • We analyze precious gold findings dated to the Final Italian Bronze Age. • Artifacts with a thin (< 1 μ m) gilding, due to depletion of the silver concentration, are identified. • The findings are relevant to archaeometallurgical studies. [ABSTRACT FROM AUTHOR]

• A timber system is proposed for the seismic retrofit of URM buildings. • Analytical equations are derived for design against different failure modes. • Wall in-plane and out-of-plane responses, diaphragms and connections are addressed. • The proposed equations are applied to case-study buildings and structural members. • Good agreement between analytical calculations and experimental data is shown. An innovative timber retrofit was investigated at the EUCENTRE and at the University of Pavia, Italy, as part of a comprehensive research campaign on the seismic vulnerability of existing unreinforced masonry buildings subjected to induced seismicity in The Netherlands. The retrofit system consists of timber frames, connected to the masonry piers and to the floor diaphragms, and oriented-strand board sheathing nailed to the frames and to flexible timber diaphragms. Starting from the main critical aspects observed in experimental tests, the proposed solution was conceived to enhance the in-plane and out-of-plane capacities of masonry piers, improve the overall wall-to-diaphragm connections, increase the floor diaphragm stiffness and strength, and allow possible integration with energy efficiency upgrades. This paper, the first of a series of two, focuses on the conceptual bases of the seismic retrofit system and on the analytical equations that can be used for the design of its components. Moreover, a step-by-step design procedure is presented to guide the reader through the application of these equations. A companion paper [1] will discuss the validation of the analytical formulation with the experimental data from quasi-static cyclic and dynamic shake-table tests on building components and complete specimens. [ABSTRACT FROM AUTHOR]

• Hydrological digital twins (HDT) are essential tools to understand the hydrological cycle especially in a changing climate. • We present, test, and validate an open-source framework to implement HDT in the large anthropized alpine Adige catchment. • The HDT is calibrated/validated on a variety of hydrological processes and data sources providing satisfactory performances. Understanding and simulating the hydrological cycle, especially in a context of climate change, is crucial for quantitative water risk assessment and basin management. The hydrological cycle is complex as it is a combination of non-linear natural processes and anthropogenic influences that alter landforms and water flows. Human-induced changes of relevance, including changes in land uses, construction of dams and artificial reservoirs, and diversion of the river course, lead to changes in water flows throughout the basin. These should be explicitly accounted for a realistic representation of the anthropogenically altered hydrological cycle. Such a realistic representation of the hydrological cycle is a necessary input for the water risk assessment in a particular region. In this paper, we present a hydrological digital twin (HDT) model of a large anthropized alpine basin: the Adige basin located in the northeast of Italy. Most catchments model often overlook land-uses changes over time and forget to model reservoir operation and their influence over time on water flow. Yet, for example, the Adige basin has>30 reservoirs affecting the water flow. We therefore use the GEOframe modeling framework to demonstrate the ability to create a hydrological twin model accounting for these anthropogenic changes. Specifically, we model each component of the water cycle over 39 years (1980–2018) at daily timescale through calibration of the Adige HDT with a multi-site approach using discharge data of 33 stations, based on a high-resolution (1 km) temperature and precipitation dataset and a calculated crop potential evapotranspiration (PETc) dataset, which accounts for human-induced change of the land cover over time. The modeling system also includes the simulation of artificial reservoirs and dams by the dynamically zoned target release (DZTR) reservoir model. The Adige HDT is assessed/validated/compared through a variety of hydrological processes (i.e., river and reservoir discharges, PETc and actual evapotranspiration, snow, and soil moisture) and data sources (i.e., observations and remote sensing data). Overall, the HDT reproduces well the measured discharge in space and time with a Kling Gupta Efficiency (KGE) above 0.7 (0.8) for 30 (23) of the 33 gauge-stations. For 7 artificial reservoirs with available data, the reservoir turbinated discharges are successfully reproduced with an average KGE of 0.92. A comparison between modeled and MODIS remote sensing snow data showed an average error of < 10% across the entire basin; the model also presented a good spatio-temporal agreement both with GLEAMS potential (and actual evapotranspiration) with an average KGE of 0.63 (0.60) and a high-level of correlation (0.5 on average) with the ASCAT satellite retrieved soil moisture. The findings of this paper demonstrate the potential of the open-source, component-based, GEOframe system to build a HDT, to provide a reliable and long term (39 years) estimation of all the water cycle components in a complex anthropized river basin at high spatial resolution. Spatially detailed HDT models results of this type can be used to inform basin-wise adaptation policy decisions and better water management practices in a time of changing climate. [ABSTRACT FROM AUTHOR]

An accurate, frequently updated, automatic and reproducible mapping procedure to identify seasonal cultivated crops is a prerequisite for many crop monitoring activities. Deep learning was demonstrated to be an effective mapping approach already successfully applied to decametric resolution satellite images (like Sentinel-2 data) to produce yearly crop maps. In this framework, algorithm training is performed with ground truth typically consisting of spatially explicit information available after the end of the season (e.g. yearly crop maps and/or farmer declaration for subsidies at parcel level); however, such data (i) does not allow performing in-season prediction, and (ii) does not provide temporal details fundamental to describe a dynamic crop succession and/or to understand crop management (i.e. planting and harvesting). In this paper we present a Deep Neural Network-based approach capable of generating (i) a crop map of the current season at a specific point in time ("In season mapping" conventionally at the end of the current year), along with (ii) all intermediate maps during the season able to describe in near real-time the evolution of crop presence ("Dynamic-mapping" at the temporal granularity of satellite imagery revisiting, e.g., 5 days for Sentinel-2 data). This approach adopts a smart training procedure of a Deep Neural model by exploiting historical satellite data and ground truth. We introduce a method to automatically generate "short-term" ground truth maps (i.e. 5 days reference) starting from the "long-term" ones (i.e. available yearly static reference) and characterizing temporally the different crop presence by performing a phenological analysis of historical time series. The model was trained and validated in Lombardy (North of Italy) exploiting multi-annual authoritative crop maps from 2016 to 2019. Validation was performed both in time (same areas used for training in a different year) and space (different location) for the year 2019. The quantitative error metrics calculation and Spatio-temporal analysis clearly demonstrate that the model can predict in-season crop presence with a generalization capacity over the long-term (yearly maps: OA > 70% and Kappa > 0.64%) and that the short-term predictions (5 days maps) are coherent with the reference information from expert knowledge (local crop calendars). The model can produce dynamically along the season short-term maps with a medium-high crop-specific User Accuracy at the maximum green-up phase (UA > 53% up to 95%). These products are of extreme interest for final users providing information at the peak of plant development that dynamically changes according to the considered crop, the specific location and the investigated season. These results demonstrate that it is possible to produce a crop map early in the season and extract useful additional information such as crop intensity (e.g. double crops presence) and crop dynamics related to different sowing dates. [ABSTRACT FROM AUTHOR]

• Role of cash for underground economy is analyzed with a unique dataset for Italy. • An increase in cash use translates into a higher share of shadow value added. • Rising the maximum threshold for cash transactions shifts the same share upwards. • Stricter limits on cash use are an effective instrument to tackle tax evasion. This paper explores the role of cash usage in feeding the underground economy by using a unique dataset that combines, at province level, official estimates of Italian firms' underreporting with data on cash transactions drawn from the aggregate anti-money laundering reports filed to the Italian Financial Intelligence Unit (UIF) by banks. In order to derive causal evidence, we apply two different econometric strategies: an instrumental variable approach and a difference-in-difference approach, which exploits the change in the maximum threshold for cash transactions introduced in 2016, thereby providing a measure of the effect of such policy on tax evasion. We find that an increase in cash usage translates, other things being equal, into a higher level of underreporting by firms, and that raising the cash threshold in 2016 – a measure motivated by the objective of boosting spending – had the side effect of leading to a larger underground economy. [ABSTRACT FROM AUTHOR]

In the present paper, the problem of the determination of yearly maximum energy producibility in terms of optimum tilt angle for solar surfaces is addressed with reference to 216 locations in France and Italy. Original correlations are proposed to calculate the optimal surface slope as a correction parameter to be applied to the local latitude angle. The correction factor formulas are based on local climate conditions and have been inferred from local monthly insolation data (12-year global and diffuse irradiance, PV-GIS-SARAH platform). An optimization problem is solved aimed at maximizing the yearly collectable energy by a sloped surface, in a range of azimuth values (from South Facing to East Facing), for all the selected locations. Different equation forms have been investigated and compact and accurate formulas have been developed able to provide the optimal tilt as a function of latitude, surface azimuth and clearness parameters. The accuracy of the proposed formulas resulted in a correlation coefficient with respect to the "exact" tilt angles higher than 0.93 for azimuth angles till 60°. Proposed formulas allow up to a 4% increase in collectable solar energy, corresponding, as an example, to a virtual increase in PV module efficiency from 21% to 21.8%. [ABSTRACT FROM AUTHOR]

The paper presents the results of palynological and geoarchaeological investigation carried out on the Greek-Roman site of Pantanello – ancient Metapontum – in the Metaponto Plain (southern Italy). This area, archaeologically investigated since the '70s, is an example of the long-term interaction between human communities and the environment. A total of 29 pollen samples and 43 bulk samples for sedimentological and mineralogical analyses were collected from three 2-m-deep trenches excavated in the vicinity of the archaeological complex of Pantanello and the alluvial plain of the Basento River. Our multidisciplinary investigation permitted to elucidate the main natural and human-controlled sedimentary processes that took place in the last two millennia. Large part of sedimentation occurred in fluvial environments and led to the accumulation of fine and organic matter-rich deposits. This happened in alluvial to swampy environments at the margin of the Basento River plain. Since the Greek occupation of the area, human communities contributed to the sedimentation with different degree of intensity. In fact, human agency (herding and cultivation) tuned the intensity of soil erosion and slope processes, thus activating the colluvial mobilization of coarse sediments into the sedimentary sequence. Pollen analyses allowed exhaustive landscape reconstructions of the site, giving specific details on the land use and its transformations during the Greek and Roman phases. The increased human exploitation of the area altered the intensity of surface processes (erosion and sedimentation) and the evolution of plant cover promoted by natural dynamics. [ABSTRACT FROM AUTHOR]

In this paper, first lower molars identified as Microtus arvalis from nine archaeological and palaeontological sites of the Italian Peninsula were analysed from a morphometric point of view, focusing on the development of the anterior part of the tooth. We used the data obtained to reveal possible patterns of evolution during the Late Pleistocene, as well as similarities and differences among the Italian samples and between Italian and European populations from the same timeframe. Factors such as the relative isolation provided by the Italian Peninsula, its milder climatic setting, intra-specific population dynamics, and the south-north displacement of Italian groups are taken into account to explain the environmental and historic causes of the peculiarities displayed by Italian samples of Microtus arvalis. [ABSTRACT FROM AUTHOR]

The study of faunal communities of the past, and how they have changed to become what they are now, is fundamental to the understanding of the changes in ecosystems that we are witnessing and that are coming in the future. In this paper, we present the small mammal assemblage from Grotta del Sambuco (Massa Marittima, Grosseto), belonging to two archaeologic stratigraphic Units, 5 and 6, both dated to Marine Isotope Stage 2. The assemblage from Unit 6 can be defined as "non-analogue", due to the occurrence of the Narrow-headed Vole Lasiopodomys anglicus and the Southern Birch Mouse Sicista subtilis. Non-analogue communities (i.e., with no equivalent in present time) are frequent during Late Pleistocene in the Italian Peninsula. Starting with Grotta del Sambuco, we describe some of the different factors leading to the origins and disappearance of past non-analogue small mammal assemblages in Italy. Climatic changes and the consequent shifts in geographic distributions of the species play a major role in shaping these communities, eventually leading to extirpation and extinction of cold- or continental-adapted species. [ABSTRACT FROM AUTHOR]

Remote areas usually do not have access to electricity from the national grid. The energy demand is often covered by diesel generators, resulting in high operating costs and significant environmental impacts. With reference to the case study of Ginostra (a village on a small island in the south of Italy), this paper analyses the environmental sustainability of an innovative solution based on Renewable Energy Sources (RES) integrated with a hybrid hydrogen-battery energy storage system. A comparative Life Cycle Assessment (LCA) has been carried out to evaluate if and to what extent the RES-based system could bring environmental improvements compared to the current diesel-based configuration. The results show that the impact of the RES-based system is less than 10% of that of the current diesel-based solution for almost all impact categories (climate change, ozone depletion, photochemical ozone formation, acidification, marine and terrestrial eutrophication and fossil resource use). The renewable solution has slightly higher values only for the following indicators: use of mineral and metal resources, water use and freshwater eutrophication. The climate change category accounts for 0.197 kg CO 2 eq./kWh in the renewable scenario and 1.73 kg CO 2 eq./kWh in the diesel-based scenario, which corresponds to a reduction in GHG emissions of 89%. By shifting to the RES-based solution, about 6570 t of CO 2 equivalent can be saved in 25 years (lifetime of the plant). In conclusion, the hydrogen-battery system could provide a sustainable and reliable alternative for power supply in remote areas. • An LCA of an off-grid hybrid battery-hydrogen system is performed. • A comparison with the current scenario based on a diesel generator is performed. • Low impact on climate change for the Renewable scenario (0.197 kg CO 2 eq./MWh). • The Renewable scenario can save more than 260 t of CO 2 eq. per year. • The impact due to transport by helicopter to the remote site is negligible. [ABSTRACT FROM AUTHOR]

• Exploratory analysis of system-wide competition between existing freight modes and truck platooning. • Cost of various freight modes compared, leveraging a multimodal nationwide freight supply model. • Forty different scenarios modelled, with different assumptions on the input variables including three levels of automation. • Truck platooning could be convenient in medium to large distances, with competition mainly with traditional road and rail freight transport. • It would be appropriate to consider track platooning as a new freight transport mode. Truck platooning is expected to significantly affect road freight transport performances, although in the long term due to technological and operational issues still to address. Furthermore, truck platooning could be introduced with increasing levels of automation, corresponding to different technologies and operational costs. In parallel, various Countries promote freight-related infrastructural plans pursuing a modal shift from the road towards more sustainable modes (railways, sea shipping, inland waterways). The planning horizon of such infrastructures probably overlaps, at least partially, with a non-negligible market penetration of truck platooning. In this framework, the paper aims to explore the extent of a system-wide competition between existing freight modes and truck platooning, through an exploratory analysis of the potential market of truck platooning in Italy. The study is based on a comparative analysis of the cost of various freight modes, leveraging a multimodal nationwide freight supply model. Forty different scenarios have been modelled, with different assumptions on the input variables including three levels of automation. Results show that truck platooning could be highly competitive with respect to rail transport for medium to large distances. Competition with conventional road transport is significant as well, with a large contestable market share between truck platooning and traditional road freight, especially on medium to long distances, whilst maritime transport starts competing with truck platooning only in the case of (at least partially) unmanned truck platooning operations. The size of truck platoons impacts appreciably on results only with a manned leader truck and unmanned followers. Based on the above results it would be appropriate to consider track platooning as a new freight transport mode. [ABSTRACT FROM AUTHOR]

In 2020 the European Commission approved the GND (Green New Deal), a strategic plan aimed at the decarbonization of the EU by 2050. In this scenario, the diffusion of alternative renewable energy sources (RESs) play a key role, particularly electric energy production from wind and photovoltaic power plants. Regardless, the nonprogrammable nature of these power sources led recent studies to focus the interest on the power-to-gas solution (PtG), consisting of the electrolytic transformation of excesses of unused electric energy into hydrogen. The complexity of this technology requires the development of strategic optimization models aimed at finding the best locations for new PtG plants in specific territorial scenarios. This paper presents the development of a GIS-based optimization model that combines an operational research approach with territorial services based on geographic information system (GIS) data. The study is located in Sicily (Italy), considering the large renewable energy penetration in the larger Mediterranean island. The developed model allows us to find the best location for new PtG installations in the considered area by combining GIS automated processing with cost function resolution. The results of this work could be useful in the years to come in light of the rapid spread of hydrogen energy production in Italy. [Display omitted] [ABSTRACT FROM AUTHOR]

Super-hot rock geothermal is an emerging source of renewable and carbon-free energy. This paper is the first attempt to explore fluid and heat flow dynamics in the reservoir-wellbore coupled system, to assess the power generation performance of a super-hot (>450 °C) enhanced geothermal system (EGS). We developed a high-performance code and built a 3-D wellbore-reservoir coupled model based on data from a recently completed deep-drilling project at Larderello, Italy. The general pattern of the super-hot EGS is characterized by a significant temperature plummet (>60 °C), after which the production fluid evolves from steam to a two-phase mixture till the end of the operation period. Reservoir pressure emerges as a key parameter to determine the temperature of the two-phase mixture. By realistically capturing phase transitions driven by coupled thermo-hydraulic processes during operations, our numerical model predicts a lower power generation efficiency compared to previous attempts based on ultra-simplified models. Although finalized at assessing the thermodynamic viability of a specific system, this modeling approach provides general information on fundamental thermo-hydraulic processes in the Earth crust that might be applied for the design of similar EGS projects elsewhere. [ABSTRACT FROM AUTHOR]

• We test for Granger causality in mean and quantiles between wage share and capacity utilization in developed countries. • We employ confidence intervals generated by bootstrap and the Wald test for joint significance. • Capacity utilization positively Granger causes the wage share in eight countries at the center, lower and upper tails. • The positive Granger causal effect of capacity utilization is strong, heterogeneous, and larger for extreme quantiles. • The wage share negatively Granger causes capacity utilization in all quantiles in Spain and above the median in Italy. This paper tests for Granger causality in quantiles between the wage share and capacity utilization in twelve developed countries using annual data ranging from 1960 to 2019. Instead of focusing only on the conditional mean, we test for Granger causality in the entire conditional distribution of the variables of interest. This method detects Granger causal dynamic relations in both the mean and the whole conditional distribution using bootstrap confidence intervals and the Wald test. Our results indicate that capacity utilization positively affects the wage share in eight out of the twelve sample countries. This Granger causal effect is strong and heterogeneous across quantiles, being larger for more extreme quantiles. Capacity utilization positively Granger causes the wage share in all conditional quantiles in the U.S., Sweden, and Italy. Meanwhile, the wage share negatively Granger causes capacity utilization in all conditional quantiles in Spain and in some quantiles above the median in Italy. [ABSTRACT FROM AUTHOR]

This paper analyses the industrial operations performed in the 1930s by Italy's former state-holding company, Istituto per la Ricostruzione Industriale (Institute for the Industrial Reconstruction — IRI). It is argued that in those years IRI represented a policy-oriented system of state-owned enterprises with 'entrepreneurial' characteristics: reorganising sectors and industrial productions, diversifying into new activities, investing in underdeveloped areas, promoting technical and managerial training as well as scientific research. IRI's historical model of an entrepreneurial state-holding company could suggest relevant policy lessons for 21st century national systems of state-owned enterprises. [ABSTRACT FROM AUTHOR]

The paper focuses on the fuel transport optimization network for the Total Erg Oil Company to the distribution points sited in a zone near Rome, in Italy. The numerical method is based on a capacitated vehicle itinerary issue for time intervals, considering various heuristic procedures. The fixed and time-dependent travel times are considered. Compared to the standard operational costs, a multivariable objective function is developed that considers: (1) the risk associated with an incidental event involving a fuel tank; (2) that not all the roads are suitable for heavy vehicles transporting fuel products. These two additional terms permit to better quantify the costs for the operator, since it is assumed that roads with higher number of accidents or with not suitable infrastructure conditions have also higher probability of making the fuel tank experiences at least a delay during the day. Results show that a proper vehicle routes design on our multivariable objective function allows economizing about 40 km daily respect to a benchmark. The fuel company can also consider the itinerary design, modifying the weights used with the aim to comprise the additional variables with respect to the standard operational costs, thus assuring a higher safety route planning. [ABSTRACT FROM AUTHOR]