How Globalisation Improves Governance

Globalisation, governance and economic performance affect each other in very complex mutual relationships. In this paper, we establish a clear and well-circumscribed hypothesis: “is there an effect of globalisation on governance?” To test this hypothesis or, even more specifically, to test how openness can affect the quality of domestic institutions, we survey available theoretical explanations of causal relationships between globalisation and governance. Microeconomic theory helps us identify trade policy, competition by foreign producers and international investors, and openness-related differences in institution building costs and benefits, as three major transmission mechanisms through which openness affects a country’s corruption levels. Examining a large sample of countries covering a 20-year long period, we found robust empirical support for the fact that increases in import openness do indeed cause reductions in corruption, a crucial aspect of governance. The magnitude of the effect is also quite strong. After controlling for many cross-country differences, openness’ influence on corruption is close to one third of that exercised by the level of development. Some cautious policy conclusions are derived.Corruption, globalisation, governance, international trade.

Morphology of the Veneto Coast

A considerable amount of the North Adriatic coast is currently eroding despite the development of a wide range of measures to protect shorelines from eroding and flooding. The management of Northern Adriatic coast need a multidisciplinary, updating and modular approach. We must understand how natural and man-induced dynamics act on littoral areas. This motivated to initiate a specific research program concerning these issues started in 2003 by a cooperation among CNR-ISMAR, the Autorità di Bacino dei fiumi dell’Alto Adriatico and APAT, Servizio Laguna di Venezia. This paper shows first results of such program in progress

Correction to: Bone metabolism in patients with anorexia nervosa and amenorrhoea.

Unfortunately, the sixth author name was incorrectly spelled as "S. Fassio" instead of "A. Fassio" in the original publication

On the dwarf irregular galaxy NGC 6822. I. Young, intermediate and old stellar populations

We present accurate and deep multi-band ($g,r,i$) photometry of the Local Group dwarf irregular galaxy NGC 6822. The images were collected with wide field cameras at 2m/4m- (INT,CTIO,CFHT) and 8m-class telescopes (SUBARU) covering a 2 square degrees FoV across the center of the galaxy. We performed PSF photometry of $\approx$7,000 CCD images and the final catalog includes more than 1 million objects. We developed a new approach to identify candidate field and galaxy stars, and performed a new estimate of the galaxy center by using old stellar tracers finding that it differs by 1.15 (RA) and 1.53 (DEC) arcmin from previous estimates. We also found that young (Main Sequence, Red Supergiants), intermediate (Red Clump, Asymptotic Giant Branch [AGB]) and old (Red Giant Branch [RGB]) stars display different radial distributions. Old stellar population is spherically distributed and extends to radial distances larger than previously estimated ($\sim$1 degree). The young population shows a well defined bar and a disk-like distribution, as suggested by radio measurements, that is off-center compared with old population. We discuss pros and cons of the different diagnostics adopted to identify AGB stars and develop new ones based on optical-NIR-MIR color-color diagrams (CCDs) to characterize Oxygen and Carbon (C) rich stars. We found a mean population ratio between Carbon and M-type (C/M) stars of 0.67$\pm$0.08 (optical/NIR/MIR) and we used the observed C/M ratio with empirical C/M-metallicity relations to estimate a mean iron abundance of [Fe/H]$\sim$-1.25 ($\sigma$=0.04 dex) that agrees quite well with literature estimates.Comment: Accepted for publication in ApJ, 34 pages, 22 figures, 6 table

La psichiatria incontra la promozione della salute. Un’esperienza presso la ASST di Mantova

In questo contributo gli autori descrivono un’esperienza di prevenzione sanitaria attraverso la promozione dell’attività motoria che è stata avviata da alcuni anni nel Dipartimento di Salute Mentale della ASST di Mantova. Il progetto è stato ispirato dalle evidenze di letteratura sul ruolo dell’attività fisica nel mantenimento dello stato di salute e nel miglioramento di alcune patologie, con particolare rilievo nell’ambito psichiatric

The polymorphism L412F in TLR3 inhibits autophagy and is a marker of severe COVID-19 in males

The polymorphism L412F in TLR3 has been associated with several infectious diseases. However, the mechanism underlying this association is still unexplored. Here, we show that the L412F polymorphism in TLR3 is a marker of severity in COVID-19. This association increases in the sub-cohort of males. Impaired macroautophagy/autophagy and reduced TNF/TNFα production was demonstrated in HEK293 cells transfected with TLR3L412F-encoding plasmid and stimulated with specific agonist poly(I:C). A statistically significant reduced survival at 28 days was shown in L412F COVID-19 patients treated with the autophagy-inhibitor hydroxychloroquine (p = 0.038). An increased frequency of autoimmune disorders such as co-morbidity was found in L412F COVID-19 males with specific class II HLA haplotypes prone to autoantigen presentation. Our analyses indicate that L412F polymorphism makes males at risk of severe COVID-19 and provides a rationale for reinterpreting clinical trials considering autophagy pathways. Abbreviations: AP: autophagosome; AUC: area under the curve; BafA1: bafilomycin A1; COVID-19: coronavirus disease-2019; HCQ: hydroxychloroquine; RAP: rapamycin; ROC: receiver operating characteristic; SARS-CoV-2: severe acute respiratory syndrome coronavirus 2; TLR: toll like receptor; TNF/TNF-α: tumor necrosis factor

An explainable model of host genetic interactions linked to COVID-19 severity

We employed a multifaceted computational strategy to identify the genetic factors contributing to increased risk of severe COVID-19 infection from a Whole Exome Sequencing (WES) dataset of a cohort of 2000 Italian patients. We coupled a stratified k-fold screening, to rank variants more associated with severity, with the training of multiple supervised classifiers, to predict severity based on screened features. Feature importance analysis from tree-based models allowed us to identify 16 variants with the highest support which, together with age and gender covariates, were found to be most predictive of COVID-19 severity. When tested on a follow-up cohort, our ensemble of models predicted severity with high accuracy (ACC = 81.88%; AUCROC = 96%; MCC = 61.55%). Our model recapitulated a vast literature of emerging molecular mechanisms and genetic factors linked to COVID-19 response and extends previous landmark Genome-Wide Association Studies (GWAS). It revealed a network of interplaying genetic signatures converging on established immune system and inflammatory processes linked to viral infection response. It also identified additional processes cross-talking with immune pathways, such as GPCR signaling, which might offer additional opportunities for therapeutic intervention and patient stratification. Publicly available PheWAS datasets revealed that several variants were significantly associated with phenotypic traits such as "Respiratory or thoracic disease", supporting their link with COVID-19 severity outcome.A multifaceted computational strategy identifies 16 genetic variants contributing to increased risk of severe COVID-19 infection from a Whole Exome Sequencing dataset of a cohort of Italian patients

SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues

Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we identify 4 genomic loci with suggestive associations for SARS-CoV-2 susceptibility and 19 for COVID-19 disease severity. Four of these 23 loci likely have an ethnicity-specific component. Genome-wide association study (GWAS) signals in 11 loci colocalize with expression quantitative trait loci (eQTLs) associated with the expression of 20 genes in 62 tissues/cell types (range: 1:43 tissues/gene), including lung, brain, heart, muscle, and skin as well as the digestive system and immune system. We perform genetic fine mapping to compute 99% credible SNP sets, which identify 10 GWAS loci that have eight or fewer SNPs in the credible set, including three loci with one single likely causal SNP. Our study suggests that the diverse symptoms and disease severity of COVID-19 observed between individuals is associated with variants across the genome, affecting gene expression levels in a wide variety of tissue types