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This study charts the evolution of the scientific literature on Parkinson's disease (PD) from 1983 to 2017 to inform communities of scientists, physicians, patients, caregivers and politicians concerned with PD. Articles published in journals indexed in the Science Citation Index-Expanded database of the Web of Science were retrieved and analyzed in seven five-year periods: 1983-1987, 1988-1992, 1993-1997, 1998-2002, 2003-2007, 2008-2012 and 2013-2017. Over 35 years the number of research papers on PD increased 33-fold: 885 papers in 1983-1987 to 29,972 in 2013-2017. At the same time the number of countries contributing to PD research increased from 37 to 131. The USA was the most prolific country throughout, followed by several European (UK, Germany, Italy and France) and English-speaking (Canada and Australia) countries. By 2003, several Asian countries (China, South Korea, India and Turkey) emerged with rapid increases in publications related to PD. By 2013-2017, China surpassed all but the USA to rank 2nd globally in productivity. Despite an increase from 4 to 22 African countries publishing PD research from 1983 to 2017, most were either unproductive or contributed ≤5 papers in each five-year period. There has also been a 12-fold increase in the number of journals (232-2824) containing papers on PD. In 2013-2017 three PD-focused journals (Parkinsonism & Related Disorders, Movement Disorders and Journal of Parkinson's Disease) contained 6.8% of all PD papers while a large majority (82.5%) of journals published ≤ 10 papers. This quantitative study complements the numerous extant qualitative reviews to provide a global perspective on PD research. [ABSTRACT FROM AUTHOR]

In light of the EU2030 strategy for poverty alleviation, this paper provides an assessment on the quality of estimates of poverty and inequality indicators at sub-national level (NUTS2) in Germany and Italy. Given the elaborated survey design of EU-SILC and the complexity of some poverty and inequality indicators that we consider in this paper, we use the Taylor linearization approach to estimate their variance. As a further assessment on the goodness of these estimates, we use a Fay–Herriot model to see in what extent we can obtain estimates with lower mean squared error using small area estimation. Our results reveal high territorial heterogeneity in living conditions across sub-national domains, in particular in some southern regions of Italy and some eastern government regions of Germany. Moreover, results from Fay–Herriot model reveals higher gains in efficiency for the 36 government regions of Germany especially for income-inequality indicators. • we use the Taylor linearization approach to estimate variance in poverty indicators. • we use a Fay–Herriot model to obtain estimates with lower mean squared error. • we map the spatial distribution of poverty indicators at NUTS-2 level. • Our results reveal high territorial heterogeneity across sub-national domains. [ABSTRACT FROM AUTHOR]

Comprehending the morphological disparities between SARS-CoV-2 and SARS-CoV viruses can shed light on the underlying mechanisms of infection and facilitate the development of effective diagnostic tools and treatments. Hence, this study aimed to conduct a comprehensive analysis and comparative assessment of the morphology of SARS-CoV-2 and SARS-CoV using transmission electron microscopy (TEM) images. The dataset encompassed 519 isolated SARS-CoV-2 images obtained from patients in Italy (INMI) and 248 isolated SARS-CoV images from patients in Germany (Frankfurt). In this paper, we employed TEM images to scrutinize morphological features, and the outcomes were contrasted with those of SARS-CoV viruses. The findings reveal disparities in the characteristics of SARS-CoV-2 and SARS-CoV, such as envelope protein (E) 98.6 and 102.2 nm, length of spike protein (S) 10.11 and 9.50 nm, roundness 0.86 and 0.88, circularity 0.78 and 0.76, and area sizes 25145.54 and 38591.35 pixels, respectively. In conclusion, these results will augment the identification of virus subtypes, aid in the study of antiviral medications, and enhance our understanding of disease progression and the virus life cycle. Moreover, these findings have the potential to assist in the development of more accurate epidemiological prediction models for COVID-19, leading to better outbreak management and saving lives. [ABSTRACT FROM AUTHOR]

This work aims to assess the impact of renewable energy incentives, particularly that of the feed-in tariff (FiT), on the long-term development of solar photovoltaics (PVs). With this aim, the paper introduces a dynamic model based on nonlinear delay differential algebraic equations to simulate the evolution of the PV capacity and its commitment in the power grid. The model assumes the FiT budget, the PV cost and willingness of the public to install PVs as the main drivers for solar PV installations. In particular, the learning-by-doing concept to model the PV cost and consequently the PV deployment is proposed for the first time in this paper. The accuracy of the model is validated against historical data of two of the biggest PV markets in the world driven by FiT, namely, Italy during 2008–2014, and Germany during 2000–2014. A sensitivity analysis based on the Italian PV market is carried out to identify the impact of the parameters of the proposed model. Results indicate that the proposed model is a valuable tool that can help policymakers in the decision-making process, such as the definition of the FiT price and the duration of the incentives. [ABSTRACT FROM AUTHOR]

Background: A growing body of literature aims to improve understanding of the operations of drug trafficking markets through conducting interviews with dealers and traffickers. Insight into how these individuals conduct business can provide evidence to inform the efforts by policy makers, law enforcement and practitioners to disrupt illicit markets. This paper aims to make a contribution to this evidence base by extending the number of European countries in which interviews have been conducted with incarcerated drug dealers and traffickers.Methods: It draws on interviews with 135 men convicted of offences related to the distribution or sale of heroin or cocaine and imprisoned in Italy, Slovenia and Germany. The research was conducted as part of the Reframing Addictions Project (ALICE-RAP) funded by the European Commission. The sample was diverse. It included a range of nationalities and some individuals who were members of organised crime groups. The majority of the interviewees were dealers who sold at the retail and street level, but there were some who were importers and wholesalers.Findings: Most dealers in each of the three countries reported having more than one regular supplier, and were able to respond to periods of over and under supply without losing customers. Supply arrangements varied in terms of frequency and quantities bought. Dealers engaged in repeated transactions and their relationships with customers were based on trust and reputation. Dealers aimed to sell to regular customers and to provide drugs of good quality. While dealers sought to maximise their profits by cutting drugs with cutting agents, the quality of drugs that they sold could affect their reputation and thus their profits and position in the market. Lastly, while there are some significant differences in the approach between those involved in organised crime groups and those who are not, and between street dealers and those operating at higher levels of the market, there were striking similarities in terms of the day-to-day operational concerns and modes of relationship management.Conclusions: Interviewees' arrangements for securing supplies of drugs provide support to the notion that drug markets are resilient and flexible. Our findings correspond with other empirical research in relation to the centrality of trust in the practical operation of supply and sale of drugs. The research highlights some differences, but important similarities between dealers who were part of organised crime groups and those who were not; dealers all faced some common challenges and adopted some common responses to these. [ABSTRACT FROM AUTHOR]

Attention Deficit Hyperactivity Disorder (ADHD) has been medicalized in the United States since the 1960s. Primarily used in North America until the 1990s, ADHD diagnosis and treatment have increasingly been applied internationally. After documenting the expansion of ADHD in a global context, this paper presents five brief international examples examining ADHD usage and expansion: the United Kingdom, Germany, France, Italy and Brazil. We then identify and describe several vehicles that facilitate the migration of the ADHD diagnosis: the transnational pharmaceutical industry; the influence of western psychiatry; moving from ICD to DSM diagnostic criteria; the role of the Internet including the related advent of easily accessible online screening checklists; and advocacy groups. Finally, we discuss what this globalization of a diagnosis reflects about the potential global medicalization of other conditions. [ABSTRACT FROM AUTHOR]

The EU27 countries exert significant influence on the global patterns of the CO 2 -Emissions-Water-Energy (CWE) nexus. However, whether the associated benefits are similar for all countries is unclear. In this paper, an EU27 multiregional input-output model, at a sector level to identify the inter-regional and -sectoral CWE flows, and clarify the regional, sectoral and worldwide patterns of EU27 CWE network is presented. The results revealed an environmental inequality across the EU27 and impacts on the rest of the world. The EU27 countries contributed 1.4 Gt less CO 2 emissions, 64.5 Gm3 less water utilisation and 49 EJ less energy consumption, compared to the rest of the world while generating the equivalent economic output in 2014. This has dramatic effects upon the global environment. Germany, France and Italy are the biggest beneficiaries in the CWE nexus in the EU27. It is recommended that the EU27 provide more technical support to upstream countries in the EU and elsewhere to strive to improve their resource utilisation efficiencies. • The critical Carbon-Water-Energy (CWE) flows across the EU27 are analysed. • The regional, sectoral and worldwide patterns of EU27 CWE network are clarified. • An environmental inequality across the EU27 and impacts on the rest of the world. • Germany, France and Italy are the biggest beneficiaries in the CWE network of EU27. [ABSTRACT FROM AUTHOR]

The aim of this paper is to provide an overview about the distribution of the environmental impacts arising from different domestic functions (i.e. storing and preparing food, washing dishes, watching television, reading, personal cleaning, washing, drying and ironing clothes, home cleaning, heating, cooling, lighting and mobility) typically performed within a common family home. The method has general validity but for reasons related to the availability of data in the literature it has been applied by way of example only in three EU countries: Italy, Germany and France. The study was performed by using Life Cycle Assessment (LCA) in accordance with international standard ISO 14067 for determining the carbon footprint of different alternative domestic components, mainly appliances, for each function, by exclusively exploiting data from scientific literature. The functional unit is defined comprising all most common referred domestic activities of a family of three members within a house of 100 m2. The study identified an optimal configuration and a worse one of the domestic components in terms of carbon footprint, showing how a wise choice of these can greatly affect the overall impact by reducing it compared to the worst by more than 22% in Italy, 45% in Germany and 56% in France. The average impacts between the optimal and the worst configurations of Germany are higher than Italy (+27%) and France (+44%). Considering the impacts among the domestic functions in the average configuration, mobility was the most impactful in all the three countries (35–48%), followed by heating (17–26%), personal cleaning (10–13%) and washing dishes (8–13%), while cooling is consistent only in Italy (13%), against 5% in Germany and 2% in France. The study also allowed to identify some generic criteria for defining the optimal configuration: the increasing in energy efficiency, the choice of the least impacting energy source depending on the geographical location, ensuring water savings and the early replacement of older domestic components. Finally, by comparing some common measures for improving the domestic sustainability, these criteria proved to be more effective than solar systems and improved electricity mix. The provided outcomes may be used by manufacturers for improving their product in a more sustainable way as well as by legislator and end user, respectively for boosting and choosing the greener domestic components. Image 1 • LCA for estimating domestic environmental impacts based on scientific literature. • Application to three EU countries: Italy, Germany and France. • Assessing Carbon Footprint of different alternative domestic components for each domestic function. • Determining the optimal and the worst configuration of domestic components to minimize the impacts. • Comparing possible improvements for minimizing carbon footprint. [ABSTRACT FROM AUTHOR]