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Purpose: The Comprehensive assessment of Acceptance and Commitment Therapy (CompACT) is a 23-item questionnaire measuring psychological flexibility, a quality of life protective factor. An 18-item version was recently produced. We assessed validity and reliability of CompACT, and equivalence of paper and electronic (eCompACT) versions in people with multiple sclerosis (PwMS) in Italy, Germany and Spain. Methods: We used confirmatory factor analysis and assessed CompACT-23 and CompACT-18 measurement invariance between the three language versions. We assessed construct validity (Spearman's correlations) and internal consistency (Cronbach's alpha). Test–retest reliability (intraclass correlation coefficient, ICC) and equivalence of paper and eCompACT (ICC and linear regression model for repeated measures) were assessed in subsamples of PwMS. Results: A total of 725 PwMS completed the study. The three-factor structure of the CompACT-23 showed poor fit (RMSEA 0.07; CFI 0.82; SRMR 0.08), while the fit of the CompACT-18 was good (RMSEA 0.05; CFI 0.93; SRMR 0.05). Configural and partial metric invariance were confirmed, as well as partial scalar invariance (reached when five items were allowed to vary freely). The CompACT-18 showed good internal consistency (all alpha ≥ 0.78); and test–retest reliability (all ICCs ≥ 0.86). Equivalence between paper and eCompACT was excellent (all ICCs ≥ 0.86), with no mode, order, or interaction effects. Conclusion: Results support using the refined CompACT-18 as a three-factor measure of psychological flexibility in PwMS. Paper and eCompACT-18 versions are equivalent. CompACT-18 can be used cross-culturally, but sub-optimal scalar invariance suggests that direct comparison between the three language versions should be interpreted with caution. [ABSTRACT FROM AUTHOR]

Renal denervation is a device-based procedure for hypertension for which safety and efficacy has been demonstrated. At present, its clinical use is still matter of debate, despite the most recent clinical trials have shown promising results with new-generation devices in various hypertensive populations. This position paper was deemed necessary by the Italian Society of Arterial Hypertension, in order to provide indications about the applications of renal denervation in the clinical setting. A state-of-the art review of the literature, focusing on safety and efficacy data, is provided. Furthermore, based on current evidence and expert consensus, clinical profiles of possible candidates for renal denervation are proposed. The selection process should take into account not only blood pressure values, global cardiovascular risk profile, but also drug adherence and tolerability and patient preferences. This position paper also defines minimum requirements for renal denervation selection centers and a flowchart for the difficult-to-treat hypertensive patient. Further studies are needed to support these preliminary indications, which are based on expert-consensus only. [ABSTRACT FROM AUTHOR]

Children are defined as hypertensive when their blood pressure values equal or exceed the 95th percentile of the blood pressure value distribution in a pediatric population, according to gender, age and height. The population on which reference tables are based is of fundamental importance to establish the threshold values for the diagnosis of hypertension in pediatric age. Before 2017, both American and European guidelines used nomograms created in the same reference population which included children of all weight classes. Given the close and well-known association between hypertension and excess weight in childhood, the 2017 American guidelines proposed new reference nomograms excluding subjects with overweight and obesity from the "historical" reference population. Furthermore, the new American guidelines suggested a fixed cut-off of 130/80 mmHg, starting from 13 years and regardless of gender and height, to make the diagnosis of hypertension. In this document, the Italian Hypertension Society (SIIA) and the Italian Pediatric Society (SIP) jointly discuss a number of issues raised by the new American guidelines that involve the entire medical community, and also address the definition of arterial hypertension in the transition phase between childhood and adulthood. [ABSTRACT FROM AUTHOR]

Less than 2% of physicians complete a research training (PhD) after the residency with a declining trend in those pursuing a clinical scientist pathway in pediatrics. The exposure to research methodology during the clinical training may play a role in engaging the next generations of pediatric physician scientist. Herein, we describe the experience of the Padova Physician Scientist Research Training (PPSRT) of the pediatric residency program at the University of Padova. The PPSRT was addressed to residents attending PGY2 to PGY4 of the pediatric program and consisted of two cores: a general one including in person or virtual lectures about research methodology in pediatrics including design of a clinical trial, writing of a scientific paper and statistical methods, and a subspecialties core for the discussion of research challenges in each area and the scientific writing activities. The perceived barriers to a research training and an evaluation of the program were assessed by an anonymized questionnaire. Sixty-four out 150 residents registered for the research training with 62/64 completing the two cores. The major perceived barrier to research during clinical training was the absence of protected time (89%) followed by the lack of specific funds (37%). The group activities lead to the publication of 24 papers. Conclusion: This is the first experience in the Italian pediatric training of a dedicated research program within the frame of postgraduate medical education. Our report highlights the need for protected time to promote research interest and nurture a new generation of physician scientists. What is Known: • Training to medical research is not part of residency program. • The declining trend of physician scientists might be reverted by early exposure to research methodology and challenges during residency. What is New: • An early exposure to research training during pediatric residency increases the research engagement of pediatric residents. • The lack of protected time for research is perceived as the major barrier to research training during residency. [ABSTRACT FROM AUTHOR]

This paper explores the knowledge network structure of foreign research literature by applying the qualitative comparative analysis (QCA) method to the field of information science and library science (ISLS) from the perspective of the cocitation of social network actors such as authors, institutions, countries, and literature, and it further reveals the future application trends of this method. [Method/process] Based on 86 journals in the ISLS field that were downloaded from the Web of Science using the QCA method, the social network analysis (SNA) method and the visual analysis tool Gephi are used to analyse the author cooperation network, the research institution cooperation network, the national cooperation network, the cocitation network, the cutting-edge trends, etc., of journal papers. The analysis shows that the QCA method covers a wide range within the field of ISLS, but the research topics involved in this field are not concentrated, and the author cooperation network has scale-free characteristics. The application of the QCA method is still dominant in European and American countries, and China, the USA, and Italy all play key roles in the national cooperation network. Finally, the institutional cooperation network has certain small group attributes. [ABSTRACT FROM AUTHOR]

The paper analyzes the optimal lockdown policy using the SQAIRD model over a network with three population groups (young, adult, and old). We show that different lockdown policies may be justified by different socioeconomic structures (objective cost functions that are either convex or concave). We also show that a lockdown policy is always better than a laissez-faire policy, and a targeted policy specific to each group outperforms a uniform policy. In our benchmark example, we consider the case of Italy. Our simulations show that: (a) a lockdown policy is always better than the laissez-faire policy because it limits the costs generated by the pandemic in an uncontrolled situation; (b) a group-specific targeted lockout policy is more effective than a uniform policy to the extent that the groups differ. The latter is a less expensive targeted policy (as it optimally minimizes direct, indirect, and vaccination costs), and it is equally effective in controlling the pandemic. One finding of particular interest is that the optimal lockdown rate should be higher for the young and elderly than for adults. This is motivated by the fact that younger individuals are more likely to spread the virus in question asymptomatically. [ABSTRACT FROM AUTHOR]

Over the last two decades, involuntary part-time (IPT) employment has become a more and more pressing issue in Europe, especially in the southern countries, where IPT today constitutes most part-time employment. Using INAPP-PLUS data and different discrete choice model estimations, this paper aims to shed light on the factors that explain the IPT growth in Italy, focusing on what influences the IPT status at the individual, household and labour market levels. The main hypothesis is that what influences the IPT work derive from a combination of workers' individual, household, and job characteristics which may engender limited power during the bargaining process. The empirical results, based on gender-specific models, highlight that characteristics associated with the IPT status significantly changed over time, reporting a convergent path between the gender profiles of IPT employment. However, IPT employment for women still appears to be mainly originated from the gendered division of domestic and care tasks, while this phenomenon seems to be mainly driven by the labour demand side for men. [ABSTRACT FROM AUTHOR]

In the latest years the capacity and complexity of climate and environmental modeling has increased considerably. Therefore, tools and criteria for model performance evaluation are needed to ensure that different users can benefit from model selection. Among graphical tools, Taylor's diagram is widely used to provide evaluation and comparison of model performances, with particular emphasis on climate models. Taylor's diagram accounts for different statistical features of model outputs and observations, including correlation, variability and centered root mean square error. Not included is model bias, which is an essential feature for climate model evaluations, and it is usually calculated separately to complement the information embedded in Taylor's diagram. In this paper a new diagram is proposed, referred to as Aras' diagram, which allows for visual assessments of the correspondence between model outputs and reference data in terms of total error, correlation, as well as bias and variability ratios through an easy-to-interpret two-dimensional (2D) plot, allowing for proper weighting of different model features. The strengths of the new diagram are exemplified in a case study of performance evaluation of EURO-CORDEX historical experiment over Southern Italy using E-OBS as reference dataset, for three hydrological variables (i.e. daily precipitation, daily surface minimum temperature, and daily maximum surface temperature), and four popular climate indices (i.e. total annual precipitation, annual maxima of daily precipitation, annual minima of daily minimum temperatures, and annual maxima of daily maximum temperatures). The proposed diagram shows interesting properties, in addition to those already included in Taylor's diagram, which may help promoting climate model evaluations based on their accuracy in reproducing the climatological patterns observed in time and space. [ABSTRACT FROM AUTHOR]

When a lava flow enters a body of water, either a lake, sea, river or ocean, explosive interaction may arise. However, when it is an 'a'ā lava flow entering water, a more complex interaction occurs, that is very poorly described and documented in literature. In this paper, we analysed the 2–4 ka San Bartolo lava flow field emplaced on the north flank of Stromboli volcano, Italy. The lava flow field extends from ~ 650 m a.s.l. where the eruptive fissure is located, with two lava channels being apparent on the steep down to the coast. Along the coast the lava flow field expands to form a lava delta ~ 1 km wide characterised by 16 lava 'Flow' units. We performed a field survey to characterise the features of lava entering the sea and the associated formation of different components and magnetic measurements to infer the flow fabrics and emplacement process of the lava flow system. We measured the density, porosity and connectivity of several specimens to analyse the effect of lava-water interaction on the content in vesicles and their connectivity and conducted a macroscopic componentry analysis (clast count) at selected sites to infer the character of the eroded offshore segment of the lava flow field and its component flow units. The collected data allowed us to define the main components of a lava delta fed by 'a'ā lava flows, with its channels, littoral units, ramps, lava tubes, and inflated pāhoehoe flows controlled by the arterial 'a'ā flow fronts. The spatial organisation of these components allowed us to build a three-step descriptive model for 'a'ā entering a water. The initial stage corresponds to the entry of channel-fed 'a'ā lava flow into the sea which fragments to form metric blocks of 'a'ā lava. Continued lava supply to the foreshore causes flow units to stall while spreading over this substrate. Subsequent 'a'ā lava flow units ramp up behind the stalled flow front barrier. Lava tubes extending through the stalled flow barrier feed the seaward extension of a bench made of several pāhoehoe flow units. [ABSTRACT FROM AUTHOR]

The paper examines how individual motivations, the role of the supervisor and gender influence the early career path of doctorate holders. We investigate PhD graduates' occupational outcomes beyond academia in the framework of current literature on the oversupply of PhD holders and labor market constraints. Our analysis relies on two unique datasets. The first, at the national level, includes microdata from the Italian National Institute of Statistics regarding about 41,000 graduates who account for over 70% of the population of 6 cohorts surveyed for the period 2004–2014. The other dataset is from a single university, and resulted from an original survey of 760 PhD holders who earned their doctorates from the University of Turin in 2007–2017. We find that PhD holders' motivation towards science is associated with their subsequent employment in academia or in other research and non-research jobs. Sponsoring support in early career and the supervisor's propensity for basic research also play a role in the future academic career path. Gender differences in type of occupation, however, continue to persist even taking motivations and the supervisor's role into account. [ABSTRACT FROM AUTHOR]

In this paper the actual dynamic behavior of the civic Clock tower of Rotella, a little village in central Italy heavily damaged by the recent 2016 seismic sequence, is thoroughly investigated by means of a detailed numerical model built and calibrated using the experimental modal properties obtained through Ambient Vibration Tests. The goal is to update the uncertain parameters of two behavioral material models applied to the Finite Element Model (elastic moduli, mass densities, constraints, and boundary conditions) to minimize the discrepancy between experimental and numerical dynamic features. A sensitivity analysis was performed with the definition of a metamodel to reduce the computational strain and try to define the necessary parameters to use for the calibration process. Due to the high nonlinear dependency of the objective function of this optimization problem on the parameters, and the likely possibility to get trapped in local minima, a machine learning approach was meant. A fully automated Finite Element Model updating procedure based on genetic algorithms and global optimization is used, leading to tower uncertain parameters identification. The results allowed to create a reference numerical replica of the structure in its actual health state and to assess its dynamic performances allowing better control over their future evolution. [ABSTRACT FROM AUTHOR]

Landslide hazards have significant social, economic, and environmental impact. This work provides a critical review of the main existing literature using satellite data for mapping landslides. We created and examined an extensive bibliographic database from Web of Science (WoS) consisting in 291 outputs from > 1,000 authors who studied almost 700,000 landslides across all continents, for a total of 52 countries represented with China and Italy on top of the list with more authors. The outputs are equivalent to ~ 5% of the whole landslide-related production for the period 1996–2022, with a 600% increase in the number of papers after 2014 driven by the availability of Sentinel-1 and Sentinel-2 data. Analysis of the geographical location across the 66 different countries analysed shows that, within the total number of contributions, the satellite imagery was used to detect and map two main types of landslides: flows and slides. When specified in the manuscripts, the events have been triggered by rainfall (104 cases), earthquakes (32 cases), or both (17 cases). Slope instabilities in these areas were predominantly identified through manual detection (40%); but since 2020, the advent of artificial intelligence is suppressing all other techniques. Despite the undisputed progress of EO-based landslide mapping over the last 26 years, which makes it a consolidated tool for many landslide-related applications, challenges still remain for an effective and operational use of EO images for landslide detection and mapping, and we provide a perspective for future applications considering the existing and the planned SAR satellite missions. [ABSTRACT FROM AUTHOR]

The Electronic Personal Health Record (EPHR) provides an innovative service for citizens and professionals to manage health data, promoting patient-centred care. It enhances communication between patients and physicians and improves accessibility to documents for remote medical information management. The study aims to assess the prevalence of awareness and acceptance of the EPHR in northern Italy and define determinants and barriers to its implementation. In 2022, a region-wide cross-sectional study was carried out through a paper-based and online survey shared among adult citizens. Univariable and multivariable regression models analysed the association between the outcome variables (knowledge and attitudes toward the EPHR) and selected independent variables. Overall, 1634 people were surveyed, and two-thirds were aware of the EPHR. Among those unaware of the EPHR, a high prevalence of specific socio-demographic groups, such as foreign-born individuals and those with lower educational levels, was highlighted. Multivariable regression models showed a positive association between being aware of the EPHR and educational level, health literacy, and perceived poor health status, whereas age was negatively associated. A higher knowledge of the EPHR was associated with a higher attitude towards the EPHR. The current analysis confirms a lack of awareness regarding the existence of the EPHR, especially among certain disadvantaged demographic groups. This should serve as a driving force for a powerful campaign tailored to specific categories of citizens for enhancing knowledge and usage of the EPHR. Involving professionals in promoting this tool is crucial for helping patients and managing health data. [ABSTRACT FROM AUTHOR]

Promoting the shift from private cars to micromobility (e.g., bike, e-bike, scooter) can represent a valuable action to improve city sustainability and liveability. Micromobility can help to replace trips by individual private cars (e.g., daily short round trips) as well as to improve coverage and accessibility of transit services, and, subsequently, to reduce the traffic impacts (e.g., pollutant emissions). It can be seen as a potential solution to move people more efficiently in urban areas, as well as to push people towards a more active mobility behaviour, contributing to the well-being goals. In this context, the paper, rather than inferring the users' propensity to change their travel mode, proposes a methodology to identify car trips that can be considered the most compatible with micromobility. Estimation of the potential demand (e.g., the upper level of car trips that could be replaced by micromobility) is carried out by exploiting the opportunity offered by floating car data (FCD) for characterising car trips. Its goodness is therefore evaluated through an application to a real case study (i.e., the city of Trani, Apulia Region, Southern Italy), divided into seventy traffic zones, and where a FCD dataset of about 5,200 trips was available. The FCD allowed the car trips to be characterised (e.g., origin and destination, path features) instead of using the traditional surveys. The results indicate that a significant share of daily car trips can be substituted (i.e., the most compatible) by micromobility (31% of car round trips in the case study), with considerable potential environmental gains (traffic emission reduction; less than 21% of total emissions from private cars). Results can be of interest to local authorities in integrating micromobility in urban mobility planning and promoting new sustainable transport alternatives, as well as to transport companies for designing new appeal services. The developed methodology is parametric and uses easy-to-obtain data available worldwide; thus, it can be easily transferred to other city contexts. [ABSTRACT FROM AUTHOR]

Background: Insomnia is the most reported sleep disorder in industrialized countries, affecting, in the chronic form, around 10% of the European population. In Italy, such a percentage seems to be even higher. Although insomnia can be an independent disorder, it is frequently described as comorbid condition and may precipitate, exacerbate, or prolong a broad range of physical and mental disorders. Evaluating and targeting insomnia in the Italian clinical practice should be a priority. Methods: The present expert opinions and recommendations represent an update from 2020 and insights from Insomnia Expert Consensus Group, based on systematic reviews according to PRISMA on available options in Italy from January 2020 to March 2023. Results: We evaluated 28 papers among international guidelines, expert opinions, systematic reviews, and meta-analysis produced during the last 26 months. Conclusions: Our findings suggest that symptoms of insomnia must be assessed in the Italian clinical practice by evaluating nocturnal and daytime symptoms, comorbid conditions, and lifestyle. Cognitive behavioral therapy for insomnia should be the first option according to availability. The choice of the drug should be based on different factors including type of insomnia, age, comorbidities, and potential side effects. If the choice would be a Z-drug or a short-acting benzodiazepine (in subjects < 65 years old), the use should be in the short term (≤ 4 weeks). Indeed, eszopiclone, as a new option in Italy, may present a different profile and may be used for up to 6 months, also in the elderly. If the choice is melatonin, it should be used melatonin 2 mg prolonged release in adults ≥ 55 years for up to 13 weeks. A new dual orexin antagonist, daridorexant, is available in Italy; it has been shown to be effective in adults and elderly and it can be used for at least 3 months and up to 1 year. [ABSTRACT FROM AUTHOR]

The main purpose of this paper was to study the effect of spatial variability of soil hydraulic properties (HP) and vegetation parameters (VP) (e.g., leaf-area index, LAI, and crop coefficient, Kc) on modelling agro-hydrological processes and optimising irrigation volumes at large scale. Based on this analysis, the effect of partly overlooking the spatial variability of soil HP and/or VP inputs was verified on a 140 ha irrigation sector in "Sinistra Ofanto" irrigation system in Apulia Region, Southern Italy. Five soil profiles were excavated and the HP were measured in all the soil horizons. Additionally, measurements of soil HP were taken in the surface soil layer in ninety sites distributed over the whole irrigation sector. All the HP measurements were carried out using tension infiltrometer. Remote sensing applications were used to obtain LAI and Kc using European Space Agency's (ESA) Sentinel-2 images with 10 m resolutions. First, distributed (on ninety polygons with an average area of about 1.5 ha) optimal irrigation volumes and related deep percolation volumes at a depth of 80 cm, were computed using an agro-hydrological model and accounting for the actual observed variability of soil HP and VP inputs. The sector scale irrigation and deep percolation volumes were obtained by aggregating the distributed irrigation volumes. This was considered as the reference scenario (hereafter DVS—Detailed Variability Scenario). Then, reduced variability scenarios (hereafter RVS—Reduced Variability Scenario) were considered, where the information on the actual spatial variability of the soil HP and VP was gradually overlooked to find the minimum data set needed to still have sector scale irrigation volumes and related deep percolation volumes comparable to those obtained under the DVS. Results showed that overlooking VP (RVS-VP) variability did not significantly change the optimal irrigation volumes and the deep percolation fluxes. By contrast, neglecting the HP variability (RVS-HP) showed significant effects on both the irrigation and percolation volumes compared to the DVS. The main practical finding was that, at least for the area investigated in this study, hydraulic characterization of one soil profile in an area of approximately 30 ha provides sector scale irrigation volumes and percolation fluxes comparable to those obtained under the DVS, thus by accounting for all the observed local variability. [ABSTRACT FROM AUTHOR]

Although in Italy there is currently no effective law on physician-assisted suicide or euthanasia, Decision No. 242 issued by the Italian Constitutional Court on September 25, 2019 established that an individual who, under specific circumstances, has facilitated the implementation of an independent and freely-formed resolve to commit suicide by another individual is exempt from criminal liability. Following this ruling, some citizens have submitted requests for assisted suicide to the public health system, generating a situation of great uncertainty in the application processes. As a matter of fact, shared and defined procedures are lacking as Decision 242/2019 merely added some principles on which the legislature will have to base its future intervention. This paper analyses the advisory role that the Decision attributes to territorial ethics committees with the aim of stimulating discussions on their role in oversight mechanisms. The proposed conclusion is that the envisaged role does not appear consistent with the functions of these bodies and is ultimately substantially undefined and unjustified. [ABSTRACT FROM AUTHOR]

In this paper, the structural vibration control of short-period systems by a sliding model of a tuned liquid column damper (herein referred to as STLCD) is investigated from both theoretical and experimental points of view. The proposed STLCD is essentially composed of a U-tube container with liquid inside, which can slide on a linear guide rail and is connected to the structure by a spring-dashpot system. Unlike traditional fixed TLCDs, this type of arrangement allows the proposed STLCD to be tuned to short-period structural systems since the spring can be used for tuning while the dashpot provides additional damping. Details on the selection of the optimal design parameters of the STLCD are provided, and the validity of the introduced mathematical model is verified both in time and frequency domains through experimental tests conducted at the Laboratory of Experimental Dynamics at the University of Palermo, Italy. For the experimental tests, a scale model of an STLCD-controlled structure is considered, focusing on the reduction of the roof accelerations. Finally, for comparison purposes, the control performance of the proposed control strategy for the vibration suppression of stiff structures is evaluated by analyzing its structural responses in contrast with the corresponding uncontrolled structure under harmonic excitations. [ABSTRACT FROM AUTHOR]

Background: To assess the state of neurological scientific research in Italy in the time interval 2020–2023. Methods: Elsevier's modular integrated platform "SciVal" was used to analyze bibliometric research products starting from scientific production data uploaded onto Scopus. We considered the research area "Neurology" in the 01/01/2020–14/06/2023 time interval, and the following variables were extracted: number of published studies, number of citations, Field-Weighted Citation Impact, and percentage of international collaborations. The contribution of Italian scientists to the neurological research was compared to that of the other nations. Results: Research identified 90,633 scientific papers in the neurological area worldwide, with a total of 472,750 citations. The products assigned to Italian groups were 6670 (53,587 citations, Field-Weighted Citation Impact 1.68, 41% international collaborations). Conclusions: According to the present study, Italian neurological research 2020 to 2023 ranks fifth globally and third in Europe. [ABSTRACT FROM AUTHOR]

Introduction: A new national survey has been carried out by the Italian Centers for Cognitive Disorders and Dementias (CCDDs). The aim of this new national survey is to provide a comprehensive description of the characteristics, organizational aspects of the CCDDs, and experiences during the COVID-19 pandemic. Methods: A list of all national CCDDs was requested from the delegates of each Italian region. The online questionnaire is divided in two main sections: a profile section, containing information on location and accessibility, and a data collection form covering organization, services, treatments, activities, and any service interruptions caused by the COVID-19 outbreak. Results: In total, 511 out of 534 (96%) facilities completed the profile section, while 450 out of 534 (84%) CCDDs also completed the data collection form. Almost half of the CCDDs (55.1%) operated for 3 or fewer days a week. About one-third of the facilities had at least two professional figures among neurologists, geriatricians and psychiatrists. In 2020, only a third of facilities were open all the time, but in 2021, two-thirds of the facilities were open. Conclusion: This paper provides an update on the current status of CCDDs in Italy, which still shows considerable heterogeneity. The survey revealed a modest improvement in the functioning of CCDDs, although substantial efforts are still required to ensure the diagnosis and care of patients with dementia. [ABSTRACT FROM AUTHOR]

This paper presents a case study to support the hypothesis that religiosity and spirituality (R/S), as mood balancing factors, could facilitate the recovery process for patients suffering from bipolar disorder (BD) once they have been stabilized and are receiving appropriate support (e.g., in a residential rehabilitative center). After a succinct review of BD and R/S, the patient's medical history and rehabilitation pathway are described, with a particular focus on the role played by R/S. The authors found that in this case, once the patient was stabilized, R/S helped to consolidate her feelings of well-being, increasing her positive perception of social support services and ultimately her self-confidence. [ABSTRACT FROM AUTHOR]

Receiving information in the case of a positive or false-positive expanded newborn screening (ENBS) result for metabolic diseases is a stressful event. The availability of psychological support to families is crucial across the different communication steps and is recommended by different guidelines and position papers. However, more information is needed about the availability of psychological resources in the ENBS process. This national survey aimed to provide an overview of the availability of psychological resources for parents who received communication of positivity at the ENBS in the 23 Italian centers and how the support is provided to parents. An online survey was sent to the Heads of the ENBS centers asking about the availability of a clinical psychologist, their involvement in the ENBS process, and an estimation of parents receiving psychological support. More than 60% of the centers report having a clinical psychologist in the ENBS team; however, in more than 50% of cases, the psychologist does not participate in the consultation with parents (nor for the first consultation post-positivity or at confirmation of diagnosis). Furthermore, nearly 60% of the centers reported the experience of parental rejection of psychological sessions. Conclusion: There is a need for harmonization among the Italian ENBS centers concerning the availability of psychological resources and how these resources are provided to families. Parents' needs remained only partially fulfilled. What is Known: • Receiving communication of positivity at the ENBS can be highly stressful for parents and requires adequate psychological support. • The guidelines recommend psychological support for parents during the ENBS process. What is New: • Only 14/23 (60.9%) of Italian ENBS centers have a clinical psychologist within the team. • In half of the consultations with parents receiving communication of positivity, the clinical psychologist is never involved. [ABSTRACT FROM AUTHOR]

COVID-19 pandemic has exacerbated the pre-existing vulnerabilities and inequalities in societies. In this paper we analyse the categories that have suffered more than others from the pandemic and the restrictions on social life in terms of mental health. We rely on the Serendipity project based on a survey administered between November 2021 and February 2022 to a sample of Italian physicians (n = 1281). The survey aimed to assess the perception of general practitioners, paediatricians, geriatricians, and mental health specialists (psychiatrists, neurologists, child neuropsychiatrists), about changes in the mental health of the population as an effect of the COVID-19 pandemic and the lockdown. The strategies implemented by the doctors interviewed in terms of the intensity of the prevention, emergence, and treatment of mental health interventions, and their association with physicians' characteristics and their opinions on patient vulnerability have been illustrated by means of a multiple correspondence analysis. An overall result of the survey is the consensus of doctors on the worsening of mental health in general population, especially among their patients, due to the pandemic and on the onset of new discomforts. The most exposed individuals to the risk of onset or worsening of mental disorders include women, young people, and patients with psychiatric comorbidity. The paper also illustrates the interventions put in place by the physicians and deemed necessary from a public heath response perspective, that include providing psychoeducation to the general population, improving telehealth services, and increasing financial and human resources for community-based care. [ABSTRACT FROM AUTHOR]

This paper examines both theoretically and empirically the link between pro-social behaviours, individual attitudes regarding waste prevention and disposal, and individual recycling behaviour in Italy at the end of the 1990s, in a period in which policy makers started to make the population aware of the importance of waste prevention, disposal and recycling. In the theoretical framework, following Czajkowski et al. (Environ Resour Econ 66:647–670, 2017), we develop a utility function that represents the individual level of satisfaction, which is influenced by certain aspects related to environmental quality. In the empirical analysis, using the 1998 wave of the multipurpose household survey (MHS) conducted by the Italian Central Statistical Office and probit models, we show a positive relationship between pro-social behaviours, waste concern and recycling behaviour that is robust to the inclusion of social capital variables. [ABSTRACT FROM AUTHOR]

This paper contributes to the debate on institutions and economic development by assessing the relationship between landownership concentration and education. Using historical data at both the district and province levels in post-unification Italy from 1871 to 1921, I find evidence of an adverse effect of land inequality on literacy rates. Instrumental variable estimates using malaria pervasiveness as a source of exogenous variation rule out concerns regarding potential endogeneity. Exploration of the panel dimension of the data reveals that several shocks during this period affected the relationship between land inequality and literacy rates. In addition, this paper provides insights into the mechanism behind this relationship by analyzing the impact on intermediate outputs, such as enrollment rates in primary school, child-teacher ratio, school density, child labor, and municipality expenditures. Land inequality may have adversely affected literacy rates not only by influencing schooling supply through the political process but also through the private demand for education. [ABSTRACT FROM AUTHOR]

The research presented in this paper aims at providing a statistical model that is capable of estimating soil water content based on weather data. The model was tested using a long-time series of field experimental data from continuous monitoring at a test site in Oltrepò Pavese (northern Italy). An innovative statistical function was developed in order to predict the evolution of soil–water content from precipitation and air temperature. The data were analysed in a framework of robust statistics by using a combination of robust parametric and non-parametric models. Specifically, a statistical model, which includes the typical seasonal trend of field data, has been set up. The proposed model showed that relevant features present in the field of experimental data can be obtained and correctly described for predictive purposes. [ABSTRACT FROM AUTHOR]

Introduction: An innovative eye drops formulation containing 0.2% hyaluronic acid and a low concentration of hydrocortisone (0.001%; hereafter HALH) has been recently placed on the market (Idroflog®, Alfa Intes, Italy) to manage the dysregulated parainflammation in patients with dry eye disease (DED). In the present paper, the effectiveness of HALH on the signs and symptoms of DED was retrospectively evaluated and compared with that one obtained using standard tear substitutes (STS) by means of low- and high-tech (Keratograph®) assessments. Methods: This was a multicenter retrospective study carried out between February and April 2023, involving adult patients with DED diagnosis owing to post-cataract surgery, meibomian gland dysfunction, allergy, or glaucoma medications. The primary aim was to compare the changes induced by different therapies on Keratograph® parameters (noninvasive Keratograph tear breakup time [NIKBUT], tear meniscus height [TMH], eyelid meibography, conjunctival hyperemia, and conjunctivochalasis) or collected by traditional low-tech measures (tear breakup time [TBUT], Schirmer test, Efron score, and epithelial alterations) and the Ocular Surface Disease Index score. Results: Data from 155 patients were analyzed. The effectiveness of HALH and STS was reported by both high- and low-tech measures. NIKBUT-first showed a significant improvement in the HALH group versus the STS one at 15 days (6.4 ± 3.6 vs 5.4 ± 3.7 s, p = 0.02), whereas this difference was latent with low-tech TBUT until 45 days (6.8 ± 2.6 vs 5.6 ± 2.3 s, p = 0.03). Patients with DED occurring after cataract surgery reported an enhanced activity of HALH versus STS, particularly for NIKBUT-first, TMH, Schirmer test, and hyperemia stage. Conclusion: These findings highlighted the effectiveness of HALH in all DED subtypes, especially in patients with post-cataract surgery, as well as its superiority versus STS in terms of tear film stability improvement. We recommend longer observation (i.e., 3–6 months) to fully ascertain whether the early improvement detected by high-tech measures will be confirmed in subsequent time points even using low-tech tests. [ABSTRACT FROM AUTHOR]

Sociological literature on cultural practices seeking to understand the social differentiation of taste pays limited attention to what people avoid consuming, despite its potential as a strategic indicator of taste. Avoidance has special relevance for the understanding of eating and drinking practices which are often characterized by exclusion of items for health, hedonic, reputational, or spiritual reasons. Making use of rich data on twenty-three items commonly consumed by Italian adults, this paper investigates how avoidances—i.e. what people claim never to eat or drink—are clustered, socially patterned and have evolved over time. Methodologically, we propose the novel use and integration of two machine learning techniques—Self-Organizing Maps (SOM) and Boosted Regression Trees (BRT)— to identify nine highly homogeneous avoidance clusters and examine the power of social variables in predicting the probability of individuals' belonging to various clusters and to further characterize them. We conclude by discussing possible rationales behind avoidance. [ABSTRACT FROM AUTHOR]

The use of light detection and ranging technologies, i.e. terrestrial laser scanner (TLS), airborne laser scanner (ALS) and mobile laser scanner (MLS), together with the unmanned aerial vehicles digital photogrammetry (UAV-DP) and satellite data are proving to be fundamental tools to carry out reliable muographic measurement campaigns. The main purpose of this paper is to propose a workflow to correctly plan and exploit these types of data for muon radiography aims. To this end, a real case study is presented: searching for hidden tombs in the Etruscan necropolis of Palazzone (Umbria, Italy). A high-resolution digital elevation model (DEM) and three-dimensional models of the ground surface/sub-surface of the study area were created by merging data obtained using different survey methods to achieve the most accurate three-dimensional environment. Indeed, the simulated muon flux transmission used to infer relative transmission values, and the estimated density distribution, depends on the reliability of the three-dimensional reconstructed ground surface model. The aim of this study is to provide knowledge on the use of TLS and UAV-DP data and GPS-acquired points within the transmission-based muography process and how these data could improve or worsen the muon imaging results. Moreover, this study confirmed that muography applications require a multidisciplinary approach. [ABSTRACT FROM AUTHOR]

Carbonate deposits related to active seeps are documented along most continental margins and are characterized by peculiar seep-related facies and by chemical (isotope signature), paleontological and mineralogical markers. Their fossil analogues are recognized all over the world by the same features and occurred since the beginning of Phanerozoic. In this paper, we present a new seep outcrop (Castagneto village, Reggio Emilia, northern Italy) belonging to the late Eocene Loiano Formation which, to our knowledge, is in Italy the most ancient seep deposit with not-reworked chemosymbiotic fauna The outcrop can be roughly divided into two portions, a northern part showing abundant presence of macrofossils in silty carbonate matrix and subhorizontal subdivisions, and a southern part, where macrofossils are almost absent, characterized by sub-vertical internal subdivisions and a clear vertical structure consisting of the rhythmic alternation of light and dark mineralization. Detailed analysis of samples from the southern portion showed the occurrence of authigenic calcite and pyrite, the latter with a peculiar framboidal texture. This feature, together with the occurrence of chemosymbiotic species and 13C isotope depletion, suggests possible hydrocarbon-rich fluid-related genesis and provides useful criteria for identifying hydrocarbon-rich fluid-related deposits in geologic units. [ABSTRACT FROM AUTHOR]

A close relationship between civil protection organizations and scientific community is widely recognized today at international and European level as being of paramount importance for the effectiveness of research products in their application for disaster risk management. In this perspective, European research projects on risks are more and more focused on application oriented outcomes, requiring the involvement of civil protection organizations, and creating a well-structured knowledge network within a European civil protection framework. For about forty years, the Italian civil protection has been relying upon the contribution of the scientific community to find the best solutions based on the most advanced and consolidated knowledge, for activities that concern the management of the entire disaster risk cycle. The interactions between civil protection and scientific community in Italy are mainly based on the so-called Competence Centers, i.e. the scientific operational partners of the Civil Protection Department (DPC), and on the Major Risks Commission, i.e. the technical-scientific advisory body of DPC. They both work with an interdisciplinary, multisectoral and, when necessary, multi-hazard risk approach. This paper aims to describe how Competence Centers presently operate, in a way that has evolved over the years. The focus will be on scientific activities and products related to the earthquake and structural engineering science, emphasizing the way of operating and collaborating of Competence Centers, consistently with the principles of the Italian Civil Protection Code. [ABSTRACT FROM AUTHOR]

Campi Flegrei (CF) is an active and densely populated caldera in Southern Italy, which has manifested signs of significant unrest in the last 50 years. Due to the high volcanic risk, monitoring networks of the most sensitive unrest indicators have been implemented and improved over time. Precious database constituted by geophysical and geochemical data allowed the study of the caldera unrest phases. In this paper we retrace the caldera history in the time span 2000–2020 by analyzing displacement, seismicity and geochemical time series in a unified framework. To this end, Principal Component Analysis (PCA) was firstly applied only on geochemical data because of their compositional nature. The retrieved first three components were successively analyzed via PCA together with the geophysical and thermodynamical variables. Our results suggest that three independent processes relay on geochemical observations: a heating/pressurizing of the hydrothermal system, a process related to magmatic fluids injection at the hydrothermal system roots, and third process probably connected with a deeper magmatic dynamic. The actual volcano alert state seems mainly linked to the variation of the hydrothermal system activity. Our approach made it possible to explore the interrelation among observations of different nature highlighting the importance of the relative driving processes over time. [ABSTRACT FROM AUTHOR]

The paper presents a mechanical-based framework for the evaluation of local-scale seismic fragility curves. The approach is oriented to a seismic vulnerability assessment of unreinforced masonry buildings and makes use of basic exposure data easily obtained from survey or available in existing database. An efficient finite element model and static nonlinear analyses are employed to assess the structural behaviour. The mechanical-based fragility curves are evaluated using Monte Carlo simulations that allow to account for the uncertainties propagation. The proposed approach is tested on a case-study regarding the city centre of Cosenza, in southern Italy, using exposure information available from CARTIS database. [ABSTRACT FROM AUTHOR]

In this paper, we tackle the problem of the intensity attenuation at Ischia, a critical parameter in a high seismic risk area such as this volcanic island. Starting from the new revised catalogue of local earthquakes, we select a dataset of 118 macroseismic observations related to the four main historical events and analyse the characteristics of the intensity attenuation according to both the deterministic and probabilistic approaches, under the assumption of a point seismic source and isotropic decay (circular spreading). In the deterministic analysis, we derive the attenuation law through an empirical model fitting the average values of ΔI (the difference between epicentral intensity I0 and intensities observed at a site IS) versus the epicentral distances by the least-square method. In the probabilistic approach, the distribution of IS conditioned on the epicentre-site distance is given through a binomial-beta model for each class of I0. In the Bayesian framework, the model parameter p is considered as a random variable to which we assign a Beta probability distribution on the basis of our prior belief derived from investigations on the attenuation in Italy. The mode of the binomial distribution is taken as the intensity expected at that site (Iexp). The entire calculation procedure has been implemented in a python plugin for QGIS® software that, given location and I0 (or magnitude) of the earthquake to be simulated, generates a probabilistic seismic scenario according to the deterministic or probabilistic models of attenuation. This tool may be applied in seismic risk analyses at a local scale or in the seismic surveillance to produce real-time intensity shake-maps for this volcanic area. [ABSTRACT FROM AUTHOR]

Policymakers, researchers, and public health practitioners have long sought not only to improve overall population health but also to reduce or eliminate differences in health based on geography, race/ethnicity, socioeconomic status, and other social factors. Italian healthcare authorities and health policy makers are called to help to both solve existing inequities in accessing healthcare and remove barriers to healthcare. In this context, COVID-19 has highlighted the aspect of inequalities. Our paper proposes an overview of different methods of measuring health inequalities and their applications, both in regional and national contexts, in absolute and relative scales. The first involves an application on accessibility to an obstetrics clinic in a district of Marche region, connected to the educational level of the female population. The second, calculates the indices on inequalities in the infant mortality rate in the Italian regions in relation to income. Finally, the three indices are calculated considering the rate of self-perceived health in relation with the GDP per capita. To achieve this goal, we use the Kuznets index, the slope index of inequality and the concentration index as measures of social inequalities. The measurement of health inequities is an excitingly multidisciplinary endeavor. Its development requires interdisciplinary integration of advances from relevant disciplines. The proposed approach is one such effort and stimulates cross-disciplinary dialogues, specifically, about conceptual and empirical significance of definitions of health inequities. [ABSTRACT FROM AUTHOR]

The geographic digital divide has a relevant, though largely unexplored, within country dimension. This paper proposes an index of digital development for the Italian NUTS2 regions (rDESI) based on the European Commission's Digital Economy and Society Index (DESI). The rDESI monitors the regional digital divide along five dimensions: (i) the infrastructure and the network usage (connectivity), (ii) the population's digital skills, (iii) the use of internet services by households, (iv) the integration of ICT by firms, and (v) the level of digital services offered by the local government. According to our findings, southern regions tend to lag behind in most of these dimensions, even if infrastructures and the quality of connectivity appears rather homogeneous across the country. We also propose a methodological discussion of the DESI index, highlighting some limitations and possible solutions. The rDESI represents a useful policy instrument, providing a regional mapping of the shortfalls and strengths of digital development, which could be referred to as a guideline for policymakers when deciding about funds allocation and public investment, fostering a more inclusive diffusion of digital technologies all over the country. [ABSTRACT FROM AUTHOR]

SABRE (Sodium iodide with Active Background REjection) is a direct detection dark matter experiment based on arrays of radio-pure NaI(Tl) crystals. The experiment aims at achieving an ultra-low background rate and its primary goal is to confirm or refute the results from the DAMA/LIBRA experiment. The SABRE Proof-of-Principle phase was carried out in 2020–2021 at the Gran Sasso National Laboratory (LNGS), in Italy. The next phase consists of two full-scale experiments: SABRE South at the Stawell Underground Physics Laboratory, in Australia, and SABRE North at LNGS. This paper focuses on SABRE South and presents a detailed simulation of the detector, which is used to characterise the background for dark matter searches including DAMA/LIBRA-like modulation. We estimate an overall background of 0.72 cpd/kg/ keV ee in the energy range 1–6 keV ee primarily due to radioactive contamination in the crystals. Given this level of background and considering that the SABRE South has a target mass of 50 kg, we expect to exclude (confirm) DAMA/LIBRA modulation at 4 (5) σ within 2.5 years of data taking. [ABSTRACT FROM AUTHOR]

This paper focuses on seismic fragility and damage scenario assessment of minor Italian historical centres through the development of urban fragility curves. With reference to the case study of Balvano, a small centre located in Basilicata Region of Italy, two hybrid models have been adopted. The first is a mechanic-based hybrid model developed by the authors to derive urban fragility curves specifically; the second is the macroseismic method, originally conceived to derive typological fragility curves for single building classes, expanded to derive urban fragility curve herein. Balvano was strongly struck by 1980 Irpinia-Basilicata earthquake (Ms = 6.90) and hence subjected to an intense reconstruction process during 1980s, where almost the 80% of the buildings were reconstructed with reinforced concrete structures in the place of unreinforced masonry ones. Seismic vulnerability and damage scenarios before and after 1980 have been assessed and compared with the purpose of validating the effectiveness of the urban scale fragility curves obtained through hybrid methodologies and quantifying the effect of the 'new' seismic hazard maps and first seismic codes and recommendations released by the Italian Government in the aftermath of 1980 for the construction of new buildings or for retrofitting the existing ones. A good matching between predicted and occurred damage scenario from the research outcomes emerged, confirming the effectiveness of the urban scale hybrid fragility curves to assess seismic vulnerability at urban scale. Moreover, the comparison of the damage scenarios pre and post-reconstruction highlighted the crucial role played by the code prescriptions adopted in that years for reducing the seismic vulnerability of the municipality and the importance of the 'new' seismic hazard maps introduced in 1980s. Finally, the differences between mechanical-based hybrid and macroseismic model have been discussed in the paper. [ABSTRACT FROM AUTHOR]

Assessment of churches based on empirical data at a territorial scale is a suitable tool to have an overview of the seismic behaviour of this peculiar structural typology and to evaluate their current state of vulnerability. Fragility and vulnerability curves are also aimed to perform the analysis of different seismic scenarios. The paper presents a detailed typological analysis of 633 single-nave churches, as a selected subset of the database previously examined by the authors, with the aim of evaluating more in detail the influence of some parameters, such as masonry typology, church dimensions and presence of the bell tower, on the vulnerability of the overall church. Then, specific analyses are carried out to assess the influence played by single mechanisms on the definition of the overall damage index, with the focus of providing qualitative evaluations and explicit vulnerability and fragility curves related to the most recurring and significant collapse mechanisms. This is an original contribution of the paper in the field of the vulnerability assessment of churches, since nowadays little information is available in the literature about the damage levels related to specific mechanisms, while most attention is still focused on global damage. [ABSTRACT FROM AUTHOR]

In this paper, we consider the evaluation of the best tender in a public procurement process. According to the Most Economic Advantageous Tender criterion, in order to analyze a number of tenders, a group of experts has to consider different criteria, both of qualitative and quantitative nature. Selecting the best tender involves the solution of a multi-criteria choice problem. Indeed, in Italy, the National Anti-Corruption Authority suggested the use of traditional multiple criteria methods to evaluate the qualitative component and provided details on how aggregate the evaluations related to single criteria to derive the ranking of tenders. However, they are rarely used in practice and may have some application drawbacks. This paper aims at proposing the use of ELECTRE (ELimination Et Choix Traduisant the Realité) III and P-AHP (parsimonious analytic hierarchy process) as the more effective methods for analyzing public tenders when a great number of alternatives and/or the heterogeneity of scales are involved. The use of the proposed methodologies is completely innovative in the practice, in the Italian context. Furthermore, we carry out a comparative study among these multi-criteria methods and analyze the strengths and the weaknesses of each method in order to help the DMs to identify the more appropriate method. Moreover, we aim to develop easier and user-friendly models that sound practical in the public tender context. The potential advantages of the proposed approach are validated by a real-life contractor-selection case. The results show that the rankings obtained by ELECTRE III and P-AHP are almost the same. [ABSTRACT FROM AUTHOR]

In this paper, we address the role of civil society organisations (CSOs) in Italy with regard to the integration of migrants, asylum seekers and refugees (MRAs) in the labour market. The paper analyses the role played by CSOs in practice, looking at the dynamics of demand and offer of services through the perspective of both the CSOs and MRAs. To achieve this, we combine qualitative data from semi-structured interviews to CSO representatives as well as MRAs. Our findings point out that the fragmentation of the policy framework in terms of employment and integration, and an unfavourable legislation (above all, migration law) shape the kind of prevalent activities of CSOs and negatively impact the potential for integration of MRAs in the labour market. In general, much is left to the single CSO to fill in the needs of MRAs beyond minimal provisions established by law, with just asylum seekers and refugees having better opportunities and support. Furthermore, we can also observe how economic migrants generally tend to be less supported. [ABSTRACT FROM AUTHOR]

Due to the dramatic health situation caused by the COVID-19 pandemic, in Italy the emergency remote teaching lasted longer than in other countries. The mandatory teaching modalities have required digital transformation processes in a framework where digital-divide is one of the limitations to school modernization. We believe that the experience can promote a deeper formatting of organizational process. The paper shows results of a multitarget research carried out during the Italian lockdown aiming at animating the debate around school from multi-actors perspectives and at supporting policies. The paper aims at showing the potentiality of a multivariate statistical method as a tool supporting school managers in identifying those challenges they have to face to improve the setting up of internal processes. The main result is a model supporting the decision making process at orienting school managers strategies. [ABSTRACT FROM AUTHOR]

Analytical expressions for the floor spectra evaluation play a key role in the correct definition of the seismic input induced to non-structural elements or local mechanisms in existing buildings. They have to be able properly assessing the possible amplification phenomena, but also correctly describing the effects of nonlinearities due to structural damage. Due to the complexity of such phenomena, data on existing structures hit by earthquakes constitute a precious source for a better understanding of the topic and the validation of analytical expressions. In this framework, the paper aim is twofold. On one hand, it evaluates the entity of seismic amplification through experimental evidences from in-situ measurements on two existing monitored unreinforced structures. On the other hand, it presents the application on them of an analytical expression for the floor spectra already developed by the Authors. The case-studies are the former courthouse of Fabriano (Ancona, Italy) and the Pizzoli's town hall (L'Aquila, Italy). They were both hit by the 2016/2017 earthquake in Central Italy and are permanently monitored by the Italian seismic monitoring system of the Italian Department of Civil Protection. With the aim of validating the above-mentioned expression, the paper shows the comparison between experimental and analytical floor spectra for various minor events and mainshocks of the Central Italy earthquake. Since the two case-studies exhibited different damage levels (from slight to moderate, respectively), the comparison allowed us to verify the reliability of the expression both in the pseudo-elastic and moderate nonlinear fields. [ABSTRACT FROM AUTHOR]

A series of reclamation works that took place during the twentieth century, almost completely destroyed the dune system that characterized the eastern part of the Grado-Marano perilagoonal area (NE Italy). Because of the limited data available, so far very little was known about the local subsurface conditions and the present paper presents the main outcomes of the seismic exploration accomplished with a twofold goal: collecting comprehensive data about the subsurface conditions (which geologists need to be able to reconstruct the formation processes of the local geomorphological elements) and testing a series of efficient and unconventional methodologies based on the analysis of surface waves from both active and passive seismic data. The survey was designed and accomplished also considering the local digital terrain model (DTM) and some resistivity and penetrometer data. In the present paper we focus on three main areas and, from the methodological point of view, special emphasis is given to the Holistic analysis of Surface waves (HS) and the Horizontal-to-Vertical Spectral Ratio (HVSR), since both these techniques require simple field procedures and a light equipment. It is also show the wealth of information that the simple spectral analysis of multi-offset passive data can provide in particular for the identification of possible lateral variations. In fact, in spite of the low-energy depositional environment, the area reveals extremely complex with major and abrupt lateral variations that require special care and prevent from using coarse methodologies that cannot properly handle their identification. Collected geophysical data provide a consistent overall scenario: while the area is in general dominated by soft (silty) sediments, the residual dunes are constituted by cemented sandy materials (medium-grained calcarenite) responsible for anomalously high shear-wave velocity (VS) values already at the surface. Parallel to such residual sandy dunes we also identified a series of peat channels characterized by distinctive low VS values due to a significant amount of organic components. [ABSTRACT FROM AUTHOR]

While the international literature has significantly addressed the "new forms of voluntary action," there has been limited attention paid so far to the reintermediation processes of contemporary volunteering. This paper intends to fill this gap. First, a research approach based on a renewed sociological consideration of volunteering, path dependency and strategic field theory is presented and four ideal–typical traditions of volunteering (active membership, direct, program-based and organize-it-yourselves) are introduced. Then the Italian case is explored. Although the analysis is only exploratory, it enables us to understand the coevolutions of the four traditions and to identify a new restructuration model based on professional agencies coming from the membership tradition. The paper can help future studies to reconsider the magnitude and dynamics of second modernity trends and to tackle continuities and changes in the reintermediation of volunteering in situated and processual terms. [ABSTRACT FROM AUTHOR]

In generalized linear models (GLMs), measures of lack of fit are typically defined as the deviance between two nested models, and a deviance-based R2 is commonly used to evaluate the fit. In this paper, we extend deviance measures to mixtures of GLMs, whose parameters are estimated by maximum likelihood (ML) via the EM algorithm. Such measures are defined both locally, i.e., at cluster-level, and globally, i.e., with reference to the whole sample. At the cluster-level, we propose a normalized two-term decomposition of the local deviance into explained, and unexplained local deviances. At the sample-level, we introduce an additive normalized decomposition of the total deviance into three terms, where each evaluates a different aspect of the fitted model: (1) the cluster separation on the dependent variable, (2) the proportion of the total deviance explained by the fitted model, and (3) the proportion of the total deviance which remains unexplained. We use both local and global decompositions to define, respectively, local and overall deviance R2 measures for mixtures of GLMs, which we illustrate—for Gaussian, Poisson and binomial responses—by means of a simulation study. The proposed fit measures are then used to assess, and interpret clusters of COVID-19 spread in Italy in two time points. [ABSTRACT FROM AUTHOR]

In the operational, strategic and tactical decision-making problems of the agri-food supply chain, the perishable nature of the commodities can represent a problem of particular complexity. It is therefore appropriate to consider decision support tools that take into account the characteristics of the products, the needs and requirements of producers, sellers and final consumers. The paper presents an age-based model for the inventory-routing problem of perishable commodities with stochastic demands. In particular, we propose a dynamic decision-making approach with a "moving" horizon that advances over time taking into account the more recent available information. This approach allows future decisions to be rescheduled in relation to new data, over a planning horizon of the same duration. To address a problem as realistic as possible, we assume that the demand for products of each age is unknown and we model this uncertainty by means of random variables with a probability distribution that can be estimated from historical data. Computational experiments on test cases based on a real-life agri-food company located in Southern Italy show the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]

This paper investigates the association between work trajectories and frailty in later life in four ageing contexts (AAI index): Czech Republic, Denmark, Italy and Poland. Data of the Survey of Health, Ageing and Retirement in Europe (SHARE) is used to create the frailty index and linear regression models are applied to assess the association between frailty condition and work trajectories of 6187 women and men, aged between 50 and 74 years old. The findings underline that women experience worse frailty than men in all countries. Having precarious work trajectories is detrimental to individuals' health everywhere, but it becomes even worse for Danish men and Polish men and women. The ageing context (AAI index) is not associated with health inequalities in older people. We suggest that further research should explore more in detail the mechanisms linking job insecurity to psycho-social risks as possible determinants of frailty, taking into account differences at the national level. [ABSTRACT FROM AUTHOR]

Exploration of the structure formation and dynamics of animate and inanimate matter on the nanometer scale is a highly interdisciplinary field of rapidly emerging research. It is relevant for various molecular and nanoscale systems of different origins and compositions and concerns numerous phenomena originating from physics, chemistry, biology, and materials science. This topical issue presents a collection of research papers devoted to different aspects of the Dynamics of Systems on the Nanoscale. Some of the contributions discuss specific applications of the research results in several modern and emerging technologies, such as controlled nanofabrication with charged particle beams or the design and practical realization of novel gamma-ray crystal-based light sources. Most works presented in this Topical Issue were reported at the joint Sixth International Conference "Dynamics of Systems on the Nanoscale" and the tenth International Symposium "Atomic Cluster Collisions" (DySoN–ISACC 2021), which were held in Santa Margherita Ligure, Italy, in October 2021. [ABSTRACT FROM AUTHOR]

This paper deals with precipitation events, particularly the problem of recognising events individually, of distinguishing one local meteorological/precipitation event from another. The final aim was to arrive at a more appropriate conceptualization of "distance" between individual annual events. A criterion for identifying annual precipitation events, inside a 5 min-timestep series of pluviometric data, was proposed. Using this numerical criterion, a series of annual distances between events were obtained and compared with those obtained by other two known and applied statistical methods. This comparison would be important for linking the so-called statistical methods to the real data of the series, analysed through a numerical process. This would make it possible to provide a kind of "measure" for the understanding of real data via a statistical model. Results showed that distances between events, obtained through numerical analyses, are almost always different from those obtained by statistical methods. The supposed Poisson-process, generally matched to, and widely applied in the field of rainfall data, showed some contradiction with the analysis conducted in this paper. The so-called Lag method shows a numerical method type distribution, but produces some important internal deviations from numerical results. It seems that the method proposed in this paper can reproduce the real distances between events more realistically compared to the statistical methods considered here. Exponential distribution does not seem highly performing, at least in the case of the annual analysis, with series of a 5-min time-step resolution, obtained from rain gauges installed in the Veneto Region of Italy. It is believed that the numerical criterion presented in this paper can be considered adequate for determining the distances between events, within an annual time-window. [ABSTRACT FROM AUTHOR]