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Replication data for "colocalization between SST2 and endocytotic markers Rab 4 and Rab5" of "Cytoskeleton Protein Filamin A Is Required for Efficient Somatostatin Receptor Type 2 Internalization and Recycling through Rab5 and Rab4 Sorting Endosomes in Tumor Somatotroph Cells"
No full textRepresentative images showing the impact of FLNA silencing on the colocalization between SST2 and endocytotic markers Rab 4 and Rab5.
C- negative control
SiFLNA FLNA silencing
Rab 4 fast recycling maker
Rab 5 early endosome marke
Replication Data for: Retrospective voting in the Italian 2013 election: a sub-national perspective
No full textThe Italian 2013 election ended the period of bipolarism that characterized the so-called “Second Republic”, and paved the way for new parties such as the M5S. We investigate that election, which took place after the technocratic government led by Mario Monti, through the analytical lenses of the retrospective theory of voting applied at the provincial level. Local unemployment rates shape the electoral performances of those parties that were more supportive and sympathetic to the caretaker executive, thus confirming a distinction between incumbent and non-incumbent even in that critical and politically undecided election. We further contribute to the literature on retrospective voting by relaxing the locally untenable assumption of independence among the units. Making use of spatial regression models, we demonstrate the relevance of both the internal and contiguous economies, and their relative impact due to the different size of the province
Replication Data for Ultrastructural features mirror metabolic derangement in human endothelial cells exposed to high glucose
No full textReplicates for all the experiments present in "ULTRASTRUCTURAL FEATURES MIRROR METABOLIC DERANGEMENT IN HUMAN ENDOTHELIAL CELLS EXPOSED TO HIGH GLUCOSE
ResPOnsE COVID-19. Cumulative file: Wave 1 to Wave 4 (English version)
No full text What impact has the COVID-19 pandemic had on Italians' attitudes, opinions, and behaviors? From this question, the ResPOnsE COVID-19 project (Response of Italian Public Opinion to the COVID-19 Emergency) was developed starting in March 2020, with the aim of building a research infrastructure for the daily monitoring of public opinion during the COVID-19 emergency.
The collection of daily information through online interviews (CAWI) to a sample reflecting the distribution of the Italian population by gender and area of residence was divided into four surveys that took place between April 2020 and December 2021, for a total of more than 30,000 interviews.
The infrastructure was designed by the spsTREND "Hans Schadee" laboratory in collaboration with the SWG institute, as part of the "Departments of Excellence 2018-2022" project promoted by the Ministry of University and Research and is supported by funding from the Cariplo Foundation.
Overall Research Design
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The research design included four surveys (waves) following a repeated cross-sectional design, consistent with the dynamic nature of the pandemic phenomenon.
The four waves of ResPOnsE COVID-19 are distributed as follows.
First wave: from April 6 to July 6, 2020 (~15000 cases, RR=46,6%)
Second wave: from December 21, 2020 to January 2, 2021 (~3000 cases, RR=47%)
Third wave: from March 17 to June 16, 2021 (~9300 cases, RR=76.9%)
Fourth wave: from November 10 to December 22, 2021 (~3000 cases, RR=67.1%)
Rolling Cross-Section and Panel Design
The first, third, and fourth waves collect interviews through a Rolling Cross-Section (RCS) design, that is consecutive daily samples for a relatively long period (in this case 2 to 3 months). In addition, about 60% of subjects were interviewed twice between the first and third or fourth wave, thus allowing longitudinal analysis of intra-individual variations that occurred between 2020 and 2021.
An RCS survey can be viewed as a cross-sectional survey of a single sample that is, however, "sliced" into many equivalent small subgroups that are released on consecutive days. On the day of release, individuals belonging to a particular sub-group are invited to participate in the survey.
The distinguishing feature of the RCS design, however, is that these individuals can also respond in the days following the delivery of the invitation. Hence comes the term "rolling" meaning that the overall sample "rolls" through the days of the survey, making time (days) a random variable. The daily samples are mutually independent and the estimates derived for each are comparable. In this way, the RCS design is optimal for studying trends in the case of time-varying phenomena. For details, see the articles by Vezzoni et al. (2020) and Biolcati et al. (2021).
Questionnaire structure
The questionnaire administered in the ResPOnsE COVID-19 survey consists of a main questionnaire, containing a core set of questions repeated in each of the four surveys, and one or more thematic modules that may change with each survey.
The main questionnaire consists of eleven thematic sections covering the entire survey period. Most of the questions in the questionnaire were repeated in the four surveys, while some questions were eliminated/changed or new ones were introduced in the transition to a new survey.
Covering the entire survey period, the basic module is particularly suitable for diachronic analysis, while the structure of the thematic modules, usually collected over a few weeks, suggests an analysis of them with a cross-sectional approach. Source questionnaires in Italian are available for download.
The sample
The target population consists of Italian residents aged 18 years and older.
In the RCS waves, on average, between 100 and 150 interviews were conducted each day, corresponding to about 1,000 interviews per week for the first survey and about 700 for the third and fourth surveys (the interviews in the second survey were actually concentrated in a single week), for a total of 31,122 interviews.
Given time and resource constraints, probabilistic sampling could not be used. Instead, the samples are drawn from an online community of a commercial research institute (SWG SpA). To correct against expected bias, the sample is stratified by ISTAT macro-area of residence and composed of quotas defined by gender and age. Weights have also been created for carryover to the population. Detailed instructions on using the weights can be downloaded together with the data files.
The survey also includes a panel component: about 60 percent of subjects were interviewed twice between the first, third, and fourth waves.
Over-sampling was also conducted for the Lombardy region, for which 1124 additional cases are available in the third wave
Macro level data
The cumulative data file also includes official macro-level variables capturing daily information on the health emergency, such as the number of people infected by COVID-19 and the number of deaths due to COVID-19 at the national and regional level on the day of the interview.
The macro-level variables were extracted here: https://github.com/pcm-dpc/COVID-19/tree/master/dati-andamento-nazionale
Team
The research team is coordinated by Cristiano Vezzoni and Antonio Chiesi and includes all members of the spsTREND Laboratory, who contributed in various ways to the successful outcome of the survey.
The questionnaire is the result of a discussion among all research team members.
As for the thematic modules, the design was entrusted to one or more members of the team based on expertise on the topic: Gender inequalities (Giulia Dotti Sani), Religion (Ferruccio Biolcati, Francesco Molteni, Riccardo Ladini), Political-electoral (Paolo Segatti, Nicola Maggini), Transformations of democracy (Marco Maraffi, Andrea Pedrazzani), State and market (Antonio Chiesi, Paolo Segatti, Cristiano Vezzoni), Europe and solidarity between countries (Simona Guglielmi, Paolo Segatti), Vaccines (Cristiano Vezzoni, Riccardo Ladini and Ferruccio Biolcati), Schooling (Giulia Dotti Sani, Simona Guglielmi, Nicola Maggini), Social capital (Antonio Chiesi).
The management and validation of the dataset, as well as the preparation of the graphs for the periodic reports, were taken care of by Francesco Molteni, with contributions from Giulia Dotti Sani and Marta Moroni. Giulia Dotti Sani, Nicola Maggini, and Riccardo Ladini contributed to the construction of the weights for reporting to the population. (2022-07-12
Replication Data for permeability siRNA TXNIP for "The Role of Txnip in Mediating Low-Magnesium-Driven Endothelial Dysfunction"
No full textReplication Data for: permeability siRNA TXNI
Replication Data for: Making sense of pollsters’ errors. An analysis of the 2014 second-order European election predictions
No full textPollsters have been recently accused of delivering poor electoral predictions. We argue that one of the reasons for their failures lies in the difficulty of including an updated deep understanding of electoral behaviour. Even if pollsters’ predictions are not forecasts produced by models, the set of choices needed to produce their estimates is not indifferent to a theoretical comprehension of electoral dynamics. We exemplify this lack of theory by using an original dataset consisting of 1057 party*poll observations in the case of the last European election. Pollsters failed to account for what we know about second-order elections, thus overestimating government and big parties, which normally obtain poor results in European elections, and underestimating new and Eurosceptic ones, which usually perform well
Fish-AI_WP4_D4.1_2.Scaffold design
No full textThis dataset collects documents, processed and raw data related to the scaffold development (months 0-12
Replication Data for: Policy-taking styles: a typology and an empirical application to anti-Covid policies
No full textSeveral studies have investigated the variety of governance strategies adopted by European countries to cope with the Covid-19 pandemic. Some nations relied on a more liberal approach, based on recommendations and a lack of mandatory constraints; others trusted more top-down regulations and longlasting restrictions. The feasibility and success of the different strategies also depend on the way in which policy-takers react.
The article uses this exemplary policy case to propose a novel theoretical framework which maps the variety of policy-taking styles applying March and Olsen’s (2006) logics of conditionality and appropriateness. Using mobility data, it then employs the new typology to explore the diverse styles adopted by policy-takers reacting to anti-Covid workplace regulations in 29 European countries. The categories proposed can be applied also in different contexts, especially where policy success crucially depends on countless individual behaviours, and policymakers need to choose the most effective mix of enforcement tools
Replication Data for FAO for "Low extracellular magnesium induces phenotypic and metabolic alterations in C2C12-derived myotubes"
No full textReplication Data for: FA
Replication Data for: Economic vote and globalization before and during the Great Recession
No full textThe Great Recession undoubtedly reduced the electoral prospects of incumbent parties, coherently with the expectations of the economic vote theory. Yet, the exceptionality of the period may have displaced other elements of that theory, such as, for instance, the moderating impact that globalization is supposed to have on the retrospective mechanism.
By using an original dataset comparing 168 elections in 38 democratic countries in the period 2000–2015, we detail how the crisis modified and even reversed that conditional effect.
Furthermore, we differentiate our results by separating the impact of economic openness from that of political globalization. In so doing, we improve our understanding of the mechanisms that trigger the conditional effect on the economic vote in normal and exceptional times