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Technological advancements in the fields of Photogrammetry, Remote Sensing, and Geospatial Sciences continuously alter the way we collect, process, and interpret datasets. Accreditation bodies and institutions often need to respond to those changes and make timely modifications to stay current with technology changes and industry needs. However, it can be generally stated that the industry can adapt and adopt technological changes faster than accreditation organizations and institutions, because the process of modernizing curricula can be time consuming and slow based on organization / university / college policies. In addition to industry demands, institutions must adhere to and follow accreditation requirements. This paper reviews several accreditation requirements related to Photogrammetry, Remote Sensing, and Geospatial Sciences. The accreditation bodies that are reviewed focus on organizations in Northern America and Europe due to ease of access to information. The review provides insights about their curricula criteria, their level of detail, if they can be considered current based on industry needs, and if they provide enough flexibility for modernizing curricula without violation of accreditation policies and criteria. [ABSTRACT FROM AUTHOR]

In most jurisdictions, the burden of producing evidence on a contested issue traditionally falls on plaintiffs. In a tort claim, this de facto creates a presumption of non-negligence in favor of injurers. Some legal systems in Europe placed renewed attention on "presumed liability" rules, which instead create a presumption of negligence against injurers. In this paper, we analyze the effects of alternative legal presumptions on parties' care incentives in the presence of discovery errors. Differently from what was suggested in prior research, we show that legal presumptions do affect primary behavior: presuming that the injurer was (not) negligent strengthens (weakens) his care incentives in situations where the plaintiff faces probatory difficulties. We analyze how these effects should inform the choice of evidence regimes to improve the robustness of liability rules, and to minimize the dilutive effect of imperfect discovery on individuals' care incentives. [ABSTRACT FROM AUTHOR]

The potent oral inhibitor of BCL2, venetoclax (VEN), used to treat adults with chronic lymphocytic leukaemia, has been approved in US for the treatment of naïve patients with acute myeloid leukemia (AML) unfit for intensive chemotherapy and recently in Europe, too. However, the drug has been used for years in combination with hypomethylating agents (HMAs) in patients not eligible to other treatment option, according to the so-called off-label use. We collected real-world data about patients treated with VEN + HMAs in the context of a pharmacovigilance project focused on the evaluation of the safety and effectiveness of drugs used for unapproved indication in Italian hospitals. From March to December 2020, 24 patients started treatment with VEN combined with HMAs. 21 patients have been assessed for response. Eleven (52%) patients reached complete remission (CR), and three patients (14%) CR with partial hematological recovery (CRh), with a median duration of response of 4.5 months (range 0.5–12.5). 19 patients experienced at least 1 adverse drug reaction (ADR), mostly serious, including 3 deaths (9% of ADRs; 12.5% of patients) in febrile neutropenia. Hematological toxicities and infections (cytopenia, neutropenia, febrile neutropenia, sepsis), were the most reported ADRs (84.4%). In general, neutropenic fever occurred more frequently in patients treated with decitabine (7 out of 9, 78%) compared to azacitidine (5 out of 15, 33%; p = 0.03), whereas response assessment did not differ based on used HMA (p = 0.1). These results confirm the benefit-risk profile of VEN in a real-world setting of patients with no adequate therapeutic options. [ABSTRACT FROM AUTHOR]

In Europe, multiple waves of infections with SARS-CoV-2 (COVID-19) have been observed. Here, we have investigated whether common patterns of cytokines could be detected in individuals with mild and severe forms of COVID-19 in two pandemic waves, and whether machine learning approach could be useful to identify the best predictors. An increasing trend of multiple cytokines was observed in patients with mild or severe/critical symptoms of COVID-19, compared with healthy volunteers. Linear Discriminant Analysis (LDA) clearly recognized the three groups based on cytokine patterns. Classification and Regression Tree (CART) further indicated that IL-6 discriminated controls and COVID-19 patients, whilst IL-8 defined disease severity. During the second wave of pandemics, a less intense cytokine storm was observed, as compared with the first. IL-6 was the most robust predictor of infection and discriminated moderate COVID-19 patients from healthy controls, regardless of epidemic peak curve. Thus, serum cytokine patterns provide biomarkers useful for COVID-19 diagnosis and prognosis. Further definition of individual cytokines may allow to envision novel therapeutic options and pave the way to set up innovative diagnostic tools. [ABSTRACT FROM AUTHOR]

The clinical spectrum of SARS‐CoV‐2 infection is mixed. It ranges from asymptomatic cases, medium‐intensity forms with mild to moderate symptoms, to severe ones with bilateral lung involvement and respiratory distress, which can require transfer to ICUs and intubation. In most cases, the clinical picture is characterized by a persistent fever, cough, dyspnoea, expectoration, myalgias, arthralgias, headache, gastrointestinal symptoms, nasal congestion, and pharyngodynia. The spread of COVID‐19 in Europe has highlighted an atypical presentation of disease involving upper airways and, above all, dysfunction of olfactory and gustatory senses. There is ample evidence that COVID‐19 is significantly less severe in children than in adults. However, due to difficulties in assessing the disorder in children, especially among very young patients, the olfaction and gustatory dysfunctions remain open issues. This article sheds light on the upper airway involvement in pediatric COVID‐19 subjects. [ABSTRACT FROM AUTHOR]

This paper analyses how the Great Recession affected the gender disparity in material and social deprivation in Europe. We propose multidimensional non-monetary indexes of absolute and relative (i.e. using peer comparisons) deprivations estimated on data from the European Quality of Life Survey for the waves 2007 and 2011. We find that the Great Recession decreased gender disparity over all the dimensions of deprivations. By applying a Blinder-Oaxaca decomposition, we estimate that this decline of gender gap has depended on a reduction of the difference in characteristics between genders that has more than offset an increase of gender discrimination. [ABSTRACT FROM AUTHOR]

Throughout much of Europe, new waves of immigration have raised concerns about cultural fragmentation and disunity, interethnic conflict, and growing antipathy toward immigrants. Our goal is to provide evidence of uneven patterns of immigrant population distribution and residential integration, both within and between countries of the European Union. Our analyses focus on the spatial concentration of the foreign-born population in 27 countries and 1396 sub-regional areal units (called NUTS3), which in turn are nested within larger economic and cultural regions (i.e., NUTS2). Estimates of new forms of multiscale segregation (i.e., using the index of dissimilarity) are calculated from data drawn from Eurostat and a variety of other sources. Descriptive multivariate models of population concentration or macro-segregation center on key economic (i.e., GDP per capita), social (i.e., education), and ecological (i.e., urbanization) predictors of segregation within and between European countries. New forms of spatial segregation are expressed demographically in substantial regional heterogeneity among immigrants throughout Europe. Multivariate analyses indicate that immigrant-native patterns of population concentration and distribution vary widely between and within European countries with very different economies, demographic conditions, and histories of immigration. In almost all European countries, immigrants from outside of Europe are less spatially integrated with the native population than are immigrants from other countries within Europe. Differences in immigrant-native spatial integration are clearly reflected in the large numbers of immigrant regional "hot spots," which are driven by public policy and idiosyncratic political considerations at the national and regional levels. Our comparative approach provides an overview of country-to-country differences in European immigrant settlement patterns and multiscale patterns of integration and segregation. [ABSTRACT FROM AUTHOR]

This paper analyzes household management systems and their effect on intrahousehold gender differences in decision making in thirty European countries. The study considers five domains that reflect two types of decisions – time-consuming and frequent decisions like everyday shopping versus infrequent but important decisions like borrowing money or purchasing consumer durables. In time-consuming activities, the gender gap favors women in each system; for infrequent decisions, the gender gap is dependent on the way money is managed and the biggest gap is found in systems where resources are not pooled. This paper also investigates the role of distribution factors in shaping decision-making behavior. For time-consuming decisions, the higher the income (and education) of the woman compared to the man, the less likely she is to make the decisions. For infrequent activities, the higher the income of the woman compared to the man, the more likely she is to make the decisions. [ABSTRACT FROM AUTHOR]

Covid-19 outbreak has mostly affected people in the second half of their lives, at risk of isolation and loneliness; in fact, the impact of the pandemic was even more severe for the well-being of the elderly. Such a recent event has to be framed within the challenge of the demographic increase of people aged 65 years or older, which is particularly relevant in the European context. This paper explores which gaps have to be filled up in order to make cities a suitable place for the elderly to live in, particularly after any emergence of dysfunction and fragility in health, employment, transportation and welfare systems due to the pandemic. We assess the relative contribution of each regressor to the explained variance, that may advise policy makers about which urban features are perceived to be the most relevant for the elderly, even before the pandemic, and must be implemented. Our results have several policy implications. The assessment should provide a contribution to European decision-making processes headed to improve the perception of age-friendliness in urban environments, implementing a paradigm for reference, given the great heterogeneity of features characterizing European cities. • It is important to understand suitability of urban environments for the elderly. • The analysis covers 83 cities in Europe and the perceptions of their citizens. • The age-friendly city environment was associated with an elder-friendly city. • The R-squared decomposition identifies the most relevant features of cities. • Our results contribute to improve policies for cities after Covid-19 pandemic. [ABSTRACT FROM AUTHOR]

The article focuses on the relationship between inclination towards the basic income and general attitudes towards the welfare state, as a way to explore whether the first is facing a transition from a utopic perception to a feasible and concrete one. Making use of the eighth round of the European Social Survey, we carried out a cross-national analysis that links the basic income's support to three constitutive dimensions of the attitudes towards welfare: the egalitarian principles underlying its legitimacy and the intended and unintended consequences of social policies. Results show that despite the presence of a statistically significant relation between such attitudes and the desirability of a basic income, the support for the latter is still shaped by principles rather than by an evaluation of its possible effects. Basic income is not yet rid of its utopic nature. The paper also points out the importance of dealing with measurement invariance when analyzing cross-countries data. [ABSTRACT FROM AUTHOR]

Sustainability is becoming a mainstream issue for many organisations. A limited number of studies exist, however, on integrating sustainability into daily practices. Indeed, most of the research to date addresses only the definition and motivation for companies' interest in environmental and social concerns. This paper contributes to the research on integrating sustainability into companies' daily activities both directly and indirectly. It analyses the extent to which top management's commitment to sustainability directly affects structural and social alignment and the effectiveness of measurement systems that monitor sustainability strategic performance and indirectly impacts firms' social and environmental performance. Based on a quantitative analysis of survey responses from 405 large European companies, this paper documents the limited impact of social alignment to firms' social and environmental performance. More specifically, the results challenge the diffuse belief that the alignment and commitment of middle managers to sustainability strategies as defined by the upper echelons have a relevant impact on the company's social and environmental performance. [ABSTRACT FROM AUTHOR]

Atmospheric variables play a fundamental role in driving man-managed ecosystems and more specifically in agro-ecosystems, determining the quantity and quality of crop production. On the other hand, climate variability can be seen as the superimposition of gradual and abrupt changes. This paper is focused on European surface air temperature in the period 1951-2010. Analysis of this dataset identified breakpoints that define two homogeneous sub-periods: 1951-1987 and 1988-2010. Thermal resources for crops were analyzed adopting a 'normal heat hours' approach. Computation highlighted a general increase in thermal resources in the European continent for crop groups II and III (C3 and C4 plants adapted to high or moderate temperatures), while a decline of thermal resources for crop group I (cold adapted C3) was highlighted in the Mediterranean area. The climate variability justifies a change in the potential latitudinal limits of different groups of crops, representing a fundamental step for crop adaptation to climate change. [ABSTRACT FROM AUTHOR]

In an economic perspective, punitive damages and class actions can be viewed as sharing a common economic function-creating optimal deterrence. Building on Parisi and Cenini (Class actions for Europe: perspectives from law and economics, ELGAR, ), we study the effect of alternative procedural regimes on the effectiveness of punitive damages and class actions. Specifically, we compare the workings of punitive damages and class actions in the American and English ('loser-pays') regimes. Our findings help explain the limited use and late adoption of class actions and punitive damages in Europe. [ABSTRACT FROM AUTHOR]

The article presents an outline of Eurocodes, the European system of codes for structural design. The Eurocodes was developed by international groups of experts to have a set of rules covering the different aspects of structural design. The outline presented here is mainly focused on the part of the Eurocode that is dedicated to earthquake-resistant design. It includes an examination of the code structure, fundamental principles and philosophy and other issues associated with the seismic design of buildings. The article also presents numerical and experimental studies of structures designed according to the Eurocode.

This paper presents an environmental sustainability assessment of residential user-scale energy systems, named solar home systems, encompassing their construction, operation, and end of life. The methodology adopted is composed of three steps, namely a design phase, a simulation of the solar home systems' performance and a life cycle assessment. The analysis aims to point out the main advantages, features, and challenges of lithium-ion batteries, considered as a benchmark, compared with other innovative devices. As the environmental sustainability of these systems is affected by the solar radiation intensity during the year, a sensitivity analysis is performed varying the latitude of the installation site in Europe. For each site, both isolated and grid-connected solar home systems have been compared considering also the national electricity mix. A general overview of the results shows that, regardless of the installation site, solid state nickel cobalt manganese and nickel cobalt aluminium lithium-ion batteries are the most suitable choices in terms of sustainability. Remarkably, other novel devices, like sodium-ion batteries, are already competitive with them and have great potential. With these batteries, the solar home systems' eco-profile is generally advantageous compared to the energy mix, especially in on-grid configurations, with some exceptions. [ABSTRACT FROM AUTHOR]

Italian dry-stone wall terracing represents one of the most iconic features of agricultural landscapes across Europe, with sites listed among UNESCO World Heritage Sites and FAO Globally Important Agricultural Heritage Systems (GIAHS). The analysis of microclimate modifications induced by alterations of hillslope and by dry-stone walls is of particular interest for the valuation of benefits and drawbacks of terraces cultivation, a global land management technique. The aim of this paper is to perform a thermal characterization of a dry-stone wall terraced vineyard in the Chianti area (Tuscany, Italy), to detect possible microclimate dynamics induced by dry-stone terracing. The aerial surveys were carried out by using two sensors, in the Visible (VIS) and Thermal InfraRed (TIR) spectral range, mounted on Unmanned Aerial Vehicles (UAVs), with two different flights. Our results reveal that, in the morning, vineyard rows close to dry-stone walls have statistically lower temperatures with respect to the external ones. In the afternoon, due to solar insulation, temperatures raised to the same value for each row. The results of this early study, jointly with the latest developments in UAV and sensor technologies, justify and encourage further analyses on local climatic modifications in terraced landscapes. [ABSTRACT FROM AUTHOR]

The market of batteries for electric mobility is expected to greatly expand in Europe during the next decades. The most sustainable batteries to be produced in the future depend on the primary and secondary resources available and on the capacity to produce and recycle battery cells. This paper proposes an optimization model based on Material Flow Analysis and prospective Life Cycle Assessment which allows us to suggest the types of batteries which should be produced and recycled, the primary and secondary resources to be used, and in which quantities. Several scenarios are proposed to address the uncertainty of the future batteries market. In the Reference Scenario, designed to reflect the European policies, the results show that Europe would achieve high self-sufficiency from external producers (72%), but this percentage could decrease drastically in the case of alternative scenarios (up to 35%). Furthermore, in the Reference Scenario, lithium-iron-phosphates (40%) and lithium-air (23%) batteries result to be the best options. To cut the consumption of lithium and cobalt, sodium-ion cells (3%) could also be considered for manufacturing or even nickel-cobalt-manganese (6%) type to exploit secondary cobalt. In alternative scenarios instead, the proposed algorithm would suggest different choices as a function of the boundary conditions. For instance, in case the demand and the re-use rate of the cells are higher than in the Reference Scenario, the environmental impact of batteries for mobility turns out to increase because of the lower self-sufficiency of the European industry. • Material flow analysis and prospective LCA are integrated into an optimization model. • Several scenarios are set to address the uncertainty of the future batteries industry. • The European batteries' production and recycling to cut GHG emissions are assessed. • The optimal management of primary and secondary resources is evaluated in time. • The model evaluates the batteries industry's relevant GHG mitigation (up to −45%). [ABSTRACT FROM AUTHOR]

Background Accuracy of risk algorithms for psychosis prediction in “at risk mental state” (ARMS) samples may differ according to the recruitment setting. Standardized criteria used to detect ARMS individuals may lack specificity if the recruitment setting is a secondary mental health service. The authors tested a modified strategy to predict psychosis conversion in this setting by using a systematic selection of trait-markers of the psychosis prodrome in a sample with a heterogeneous ARMS status. Methods 138 non-psychotic outpatients (aged 17–31) were consecutively recruited in secondary mental health services and followed-up for up to 3 years (mean follow-up time, 2.2 years; SD = 0.9). Baseline ARMS status, clinical, demographic, cognitive, and neurological soft signs measures were collected. Cox regression was used to derive a risk index. Results 48% individuals met ARMS criteria (ARMS-Positive, ARMS+). Conversion rate to psychosis was 21% for the overall sample, 34% for ARMS+, and 9% for ARMS-Negative (ARMS−). The final predictor model with a positive predictive validity of 80% consisted of four variables: Disorder of Thought Content, visuospatial/constructional deficits, sensory-integration, and theory-of-mind abnormalities. Removing Disorder of Thought Content from the model only slightly modified the predictive accuracy (−6.2%), but increased the sensitivity (+9.5%). Conclusions These results suggest that in a secondary mental health setting the use of trait-markers of the psychosis prodrome may predict psychosis conversion with great accuracy despite the heterogeneity of the ARMS status. The use of the proposed predictive algorithm may enable a selective recruitment, potentially reducing duration of untreated psychosis and improving prognostic outcomes. [ABSTRACT FROM AUTHOR]

Scab, caused by Venturia inaequalis, is the most serious disease causing economic losses in apple commercial orchards. In Europe, new races of scab have overcome the Vf gene, which is the main source of scab resistance used in apple breeding. Therefore, combining several defense mechanisms is necessary to obtain durable resistance. In this study, apple genotypes ‘Ariane’ and ‘Galaxy’, carrying or not carrying the natural resistance Vf gene, respectively, were transformed via Agrobacterium tumefaciens, with the gene encoding wheat puroindoline B (pinB), under the control of the CaMV35S constitutive promoter. PCR and RT-PCR analyses confirmed both the presence and the transcription of the transgene in 24 lines selected via resistance to kanamycin. These transgenic plants were further examined for the accumulation of PinB using enzyme linked immunosorbent assay (ELISA) assay and for resistance to two races of the fungal pathogen V. inaequalis: the race 1 affecting only the susceptible cv. Galaxy and the race 6 which overcomes the resistance conferred by the Vf gene. A significant negative correlation between PinB content and disease susceptibility was observed among transgenic lines of ‘Ariane’ as well as transgenic lines of ‘Galaxy’, after inoculation with the race 6 of the pathogen. This resistance was not detected in transgenic lines of ‘Galaxy’ after inoculation with the race 1. This is the first report of a partial resistance in woody plants induced by the expression of wheat puroindoline alone or in association with a natural resistance gene. [Copyright &y& Elsevier]