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This paper deals with the problem of internal overvoltages within large coils due to fast‐rising surges. Numerical simulations are performed on a lumped‐parameter equivalent circuit, representing a coil of the magnetic system of a thermo‐nuclear fusion experiment. Inductances and capacitances are computed through numerical methods which ensure a good precision even with complex geometries. The effect of the conductive painting on the outer surface of the coil is also taken into account. The simulation results are compared with a number of measurements on a full‐size prototype coil. Turn‐to‐earth, as well as inter‐turn overvoltages, are both computed and measured in many grounding conditions. The experimental results fit well with computation and theoretical prediction.

The study, within the Increasing Resilience of Cultural Heritage (ResCult) project, aims to support civil protection to prevent, lessen and mitigate disasters impacts on cultural heritage using a unique standardised-3D geographical information system (GIS), including both heritage and risk and hazard information.

A top-down approach, starting from existing standards (an INSPIRE extension integrated with other parts from the standardised and shared structure), was completed with a bottom-up integration according to current requirements for disaster prevention procedures and risk analyses. The results were validated and tested in case studies (differentiated concerning the hazard and type of protected heritage) and refined during user forums.

Besides the ensuing reusable database structure, the filling with case studies data underlined the tough challenges and allowed proposing a sample of workflows and possible guidelines. The interfaces are provided to use the obtained knowledge base.

The increasing number of natural disasters could severely damage the cultural heritage, causing permanent damage to movable and immovable assets and tangible and intangible heritage. The study provides an original tool properly relating the (spatial) information regarding cultural heritage and the risk factors in a unique archive as a standard-based European tool to cope with these frequent losses, preventing risk.

A comprehensive understanding of the determining factors and implications of the frameworks for appreciating the relationships between climate risks and cultural heritage remains deficient. To address the gap, the review analysed literature on the management of climate risk in cultural heritage. The review examines the strengths and weaknesses of climate risk management (CRM) frameworks and attendant implications for the conservation of cultural heritage.

The study adopted a two-phased systematic review procedure. In the first phase, the authors reviewed related publications published between 2017 and 2021 in Scopus and Google Scholar. Key reports published by organisations such as the United Nations Educational, Scientific and Cultural Organisation (UNESCO) and International Council on Monuments and Sites (ICOMOS) were identified and included in Phase Two to further understand approaches to CRM in cultural heritage.

Results established the changes in trend and interactions between factors influencing the adoption of CRM frameworks, including methods and tools for CRM. There is also increasing interest in adopting quantitative and qualitative methods using highly technical equipment and software to assess climate risks to cultural heritage assets. However, climate risk information is largely collected at the national and regional levels rather than at the cultural heritage asset.

The review establishes increasing implementation of CRM frameworks across national boundaries at place level using high-level technical skills and knowledge, which are rare amongst local organisations and professionals involved in cultural heritage management.

The review established the need for multi-sectoral, bottom-up and place-based approaches to improve the identification of climate risks and decision-making processes for climate change adaptation.

Artificial intelligence (AI) can help in defining preventive strategies in taking decisions in complex situations. This paper aims to research how workers might deal with intervening AI tools, with the goal of improving their daily working decisions and movements. We contribute to deepening how workers might deal with intervening AI tools aiming at improving their daily working decisions and movements. We investigate these aspects within a field, which is growing in importance due to environmental sustainability issues, i.e. waste management (WM).

This manuscript intends to (1) investigate if AI allows better performance in WM by reducing social security costs and by guaranteeing a better continuity of service and (2) examine which structural change is required to operationalize this predictive risk model in the real working context. To achieve these goals, this study developed a qualitative inquiry based on face-to-face interviews with highly qualified experts.

There is a positive impact of AI schemes in helping to detect critical operating issues. Specifically, AI potentially represents a tool for an alignment of operational behaviours to business strategic goals. Properly elaborated information, obtained through wearable digital infrastructures, allows to take decisions to streamline the work organization, reducing potential loss due to waste of time and/or physical resources.

Being a qualitative study, and the limited extension of data, it is not possible to guarantee its replication and generalizability. Nevertheless, the prestige of the interviewees makes this research an interesting pilot, on such an emerging theme as AI, thus eliciting stimulating insights from a deepening of information coming from respondents’ knowledge, skills and experience for implementing valuable AI schemes able to an align operational behaviours to business strategic goals.

The most critical issue is represented by the “quality” of the feedback provided to employees within the business environment, specifically when there is a transfer of knowledge within the organization.

The study focuses on a less investigated context, the role of AI in internal decision-making, particularly, for what regards the interaction between managers and workers as well as the one among workers. Algorithmically managed workers can be seen as the players of summarized results of complex algorithmic analyses offered through simpleminded interfaces, which they can easily use to take good decisions.

The eddy current method of non‐destructive testing uses an alternating current excitation to induce secondary currents in a specimen under test. Flaws within the specimen affect the induced currents, causing changes in the impedance of a test coil. In this paper we present a method for obtaining a solution of inverse problems, in which the parameters of defects are unknown and the excitation function and the eddy current system response are given. The method is based on the use of artificial neural networks, which are trained using measurements. Illustrative examples are given.

The sensory characteristics of a wine are critical in determining its acceptability, and particularly repeat purchases. Assessments of wines are often made by expert wine tasters, however the use of sensory analysis methods offers an alternative approach that is less reliant on the expertise of one individual. This paper outlines a number of different sensory analysis methods, and gives examples of situations in which the methods might be used. These include the use of triangle tests to evaluate packaging materials, the use of scaling methods to evaluate changes in particular sensory characteristics as a result of changes in processing parameters, the use of sensory profiling to characterise a wine and determine changes that occur during storage, and the use of consumer testing to determine the key sensory characteristics of importance to a particular market segment.

The purpose of this paper is to determine which of the two variables would be a more reliable proxy for quality of university training: graduates’ satisfaction with their degree program, or institutional prestige.

Graduates of professional psychology and teaching programs from three Chilean universities responded to a questionnaire asking their perception of different aspects of their degree program and experiences in their first employment. The three universities differ significantly in the proportion of applicants admitted, and in their prestige.

Salary levels are highly related to profession, but unrelated to graduates’ ratings of quality of curriculum or teaching methods. Overall satisfaction with the university experience is not linked to job satisfaction. Job satisfaction, on the other hand, is highly influenced by salary and secondarily by instructional practices and perceived work relevance of the degree program.

This study is based on data from 3 of Chile’s 60 universities, and graduates of two programs. Most employment in the two professions is regulated by labor agreements. Generalizability of results is limited. Graduates may not have been employed enough to demonstrate their capacities.

The findings offer more evidence that prestige ratings are an unreliable indicator of the quality of formation offered by universities. If the government seeks to reduce income inequality, public subsidies of higher education should be based on program quality rather than on institutional prestige.

The findings are directly relevant to the current debate in Chile about what might and what might not help to reduce severe economic inequality.

The purpose of this paper is to provide an empirical examination of factors associated with over-education among PhD graduates in Italy.

The investigation is based on recently released data collected by the Italian National Institute of Statistics by means of interviews with a large sample of PhD recipients, carried out a few years after they obtained their PhD degree. The author measured the mismatch between the current job and previous PhD studies using two direct subjective evaluations of over-education, which distinguish between the usefulness of the PhD title to get the current job position and to perform the current work activities. Even if the incidence of over-education varies according to the measurement applied, the author found that it is highly widespread among PhD recipients. The econometric analyses are aimed at identifying factors associated with over-education and are based on the standard probit model and the bivariate probit model with sample selection which allows to control for self selection into employment.

The results show that over-education is significantly correlated with: first, a number of PhD-related variables, such as the scientific field of study, having attended courses or visiting periods abroad; second, some job-related characteristics, such as working in the academia or being mainly involved in research-related activities; third, the channel of access to the job; and fourth, residential location.

This paper contributes to the literature focusing on job-education mismatch by providing, to the best of the author’s knowledge, the first empirical analysis of over-education among PhD recipients in Italy; moreover, it provides some useful insights to evaluate the professional doctoral graduates in Italy.

The purpose of this paper is to examine the interaction of enforcement and adjudication for general deterrence of drunk-driving. The authors present a triangular feedback model between three domains: police, courts and drunk-driving events. The authors’ deductive approach imposes no structural assumptions beyond the core of general deterrence theory.

Using a largely untapped data set for California’s 58 counties from 1990 to 2010, the authors estimate a series of heterogeneous panel Granger non-causality tests. This empirically based evidence is re-organized per the proposed triangular feedback model to objectively categorize local criminal justice systems as active, responsive or reactive (with respect to drunk-driving).

Our results suggest that state-level analyses obscure useful variations that empirical panel methods can now handle. The authors provide evidence that research based on empirically derived groupings, rather than inductively based preconceptions, is key to understanding enforcement and compliance. The authors provide a less confounded picture of the relationship between drunk-driving enforcement and adjudication.

Our study addresses one offense for a particular state in the USA. It is an exploratory analysis. This analytical and empirical approach is new.

Our approach imposes very few a priori assumptions and requires a minimum of data series to be executed. The method can be broadly applied to a range of topics and observational units.

The authors aim to expand identification of local systems’ effectiveness (or not) and mechanisms of for general deterrence of drunk-driving. The offense is one that can be committed easily and unintentionally; it does not presume anomie. The authors address general communities, not anomalies. Knowing how enforcement and compliance operate is essential to an array of behavioral externalities.

This is a new empirically based approach for analyzing social systems. It is a marriage of new macroeconomic time-series techniques with an old question, most often addressed by microeconomic research. This study uses an underutilized data source to construct a unique panel data set.

This paper aims to unpack the sets of policy ideas underpinning the use of social innovation, thus permeating the allegedly politically neutral language of the concept.

Drawing on Daigneualt (2014), this paper adapts a four-dimensional approach to investigate the sets of ideas underpinning different conceptualisations of social innovation, particularly in relation to who the actors driving social change are, the nature of the problems addressed, the objectives pursued and the means used to achieve these objectives.

Applying the four-dimensional approach to a corpus of literature, this paper found evidence of two different perspectives along each dimension, namely, a radical empowerment approach and an incremental market-oriented one.

A limitation of the study is the focus on academic literature, whereas a broader focus on policy discourse may give further insights. However, this paper argues that this study can be the ground for future research to investigate whether and how the two approaches identified have been adopted in different institutional and policy contexts.

The paper contributes to the development of social innovation research by boosting and encouraging further investigation on how different sets of ideas underpin social innovation discourse and its use as a policy concept.