Social Capital and Political Accountability

In this paper, we empirically investigate a channel through which social capital may improve economic wellbeing and the functioning of institutions: political accountability. The main idea is that voters who share norms of generalized morality demand higher standards of behavior on their elected representavtives, are more willing to bear the cost of acquiring information, and are more likely to base their vote on criteria of social welfare rather than (narrow) personal interest. We take this conjecture to the data using information on the Italian members of Parliament in the postwar period (1948–2001). The empirical evidence shows that the electoral punishment of political misbehavior is considerably larger in electoral districts with high social capital, where social capital is measured by blood donation, and political misbehavior refers to receiving a request of criminal prosecution or shirking in parliamentary activity. Accordingly, episodes of political misbehavior are less frequent in electoral districts with high social capital.Social Capital, Culture, Political Agency

Dal rilievo digitale all'ipotesi di ricostruzione della Biblioteca Greca di Villa Adriana.

L’obiettivo della tesi è esplorare nuovi metodi e tecniche di documentazione dei Beni Culturali, nel campo dell’archeologia e anche per eventuali esperienze virtuali di esplorazione, mostrando i possibili vantaggi di portabilità derivanti dall'applicazione di tecniche di compressione dei dati ottenute con strumenti dedicati all’entertainment. Lo studio espone in maniera dettagliata l’esperienza del rilevamento tramite l’uso di moderne tecnologie di acquisizione digitale dei dati, che si uniscono nell'elaborazione dei dati stessi a metodi e tecniche di reverse modeling. La definizione di una pipeline operativa che metta in successione logica queste tecniche, la loro sistemazione e ottimizzazione , consentono di ottenere una valida documentazione in formato digitale della Biblioteca Greca di Villa Adriana (TI), completa sia dal punto di vista tridimensionale che di elaborati bidimensionali

Who should be screened for secondary causes of hypertension?

The case of a 34-year-old patient with uncontrolled hypertension is described in this article, together with the diagnostic path followed in order to make the diagnosis, that finally reveals an arteriovenous fistula due to an old kidney biopsy. Uncontrolled or resistant hypertension may be caused by unrecognized secondary hypertension: we revise the clinical and laboratory criteria for selecting hypertensive patients in whom to look for secondary hypertension through the most appropriate diagnostic work up. A synthesis of the main causes of secondary hypertension is also provided in the discussion

An efficient synthesis of bio-based Poly(urethane-acrylate) by SiO2-Supported CeCl3·7H2O–NaI as recyclable Catalyst

Poly(urethane-acrylates) (PUAs) are UV-curable resins used for biomedical applications, coatings, adhesives, and many others. Their syntheses usually involve the use of aromatic diisocyanates and polyols coming from fossil-based resources, in the presence of tin-based catalysts, which present a very well-known toxicity. In the last years the increase of environmental and economic issues related to the depletion of limited sources, the increase of greenhouse gas emissions, the release of toxic degradation compounds and the catalyst contamination has shifted the attention toward more sustainable solutions. In this study a low-impact, sustainable and efficient procedure for the synthesis of bio-based PUA promoted by solid supported CeCl3·7H2O–NaI/SiO2 was developed. This catalytic system provides the target compounds with good monomer conversion and molecular weights and allow the synthesis under heterogeneous conditions as main advantage, with the final recovery of the catalyst. We also confirmed its rapid separation, stability, and efficient recycling of the catalyst, obtaining comparable results over a seven reactions cycles. The goodness of the polymerization process under heterogeneous condition was confirmed by chemical and thermal characterizations

Cognitive code-division links with blind primary-system identification

Abstract—We consider the problem of cognitive code-division channelization (simultaneous power and code-channel allocation) for secondary transmission links co-existing with an unknown primary code-division multiple-access (CDMA) system. We first develop a blind primary-user identification scheme to detect the binary code sequences (signatures) utilized by primary users. To create a secondary link we propose two alternative procedures –one of moderate and one of low computational complexity – that optimize the secondary transmitting power and binary codechannel assignment in accordance with the detected primary code channels to avoid “harmful ” interference. At the same time, the optimization procedures guarantee that the signalto-interference-plus-noise ratio (SINR) at the output of the maximum SINR linear secondary receiver is no less than a certain threshold to meet secondary transmission quality of service (QoS) requirements. The extension of the channelization problem to multiple secondary links is also investigated. Simulation studies presented herein illustrate the theoretical developments. Index Terms—Blind user identification, code-channel allocation, code-division multiple-access, cognitive radio, dynamic spectrum access, power allocation, signal-to-interference-plusnoise ratio. I

Climate change impacts on European arable crop yields: Sensitivity to assumptions about rotations and residue management

Most large scale studies assessing climate change impacts on crops are performed with simulations of single crops and with annual re-initialization of the initial soil conditions. This is in contrast to the reality that crops are grown in rotations, often with sizable proportion of the preceding crop residue to be left in the fields and varying soil initial conditions from year to year. In this study, the sensitivity of climate change impacts on crop yield and soil organic carbon to assumptions about annual model re-initialization, specification of crop rotations and the amount of residue retained in fields was assessed for seven main crops across Europe. Simulations were conducted for a scenario period 2040–2065 relative to a baseline from 1980 to 2005 using the SIMPLACE1 framework. Results indicated across Europe positive climate change impacts on yield for C3 crops and negative impacts for maize. The consideration of simulating rotations did not have a benefit on yield variability but on relative yield change in response to climate change which slightly increased for C3 crops and decreased for C4 crops when rotation was considered. Soil organic carbon decreased under climate change in both simulations assuming a continuous monocrop and plausible rotations by between 1% and 2% depending on the residue management strategy

Climate change impacts on European arable crop yields: Sensitivity to assumptions about rotations and residue management

Most large scale studies assessing climate change impacts on crops are performed with simulations of single crops and with annual re-initialization of the initial soil conditions. This is in contrast to the reality that crops are grown in rotations, often with sizable proportion of the preceding crop residue to be left in the fields and varying soil initial conditions from year to year. In this study, the sensitivity of climate change impacts on crop yield and soil organic carbon to assumptions about annual model re-initialization, specification of crop rotations and the amount of residue retained in fields was assessed for seven main crops across Europe. Simulations were con-ducted for a scenario period 2040-2065 relative to a baseline from 1980 to 2005 using the SIMPLACE1 modeling framework. Results indicated across Europe positive climate change impacts on yield for C3 crops and negative impacts for maize. The consideration of simulating rotations did not have a benefit on yield variability but on relative yield change in response to climate change which slightly increased for C3 crops and decreased for C4 crops when rotation was considered. Soil organic carbon decreased under climate change in both simulations assuming a continuous monocrop and plausible rotations by between 1% and 2% depending on the residue management strategy

Label-Free Intracellular Multi-Specificity in Yeast Cells by Phase-Contrast Tomographic Flow Cytometry

: In-flow phase-contrast tomography provides a 3D refractive index of label-free cells in cytometry systems. Its major limitation, as with any quantitative phase imaging approach, is the lack of specificity compared to fluorescence microscopy, thus restraining its huge potentialities in single-cell analysis and diagnostics. Remarkable results in introducing specificity are obtained through artificial intelligence (AI), but only for adherent cells. However, accessing the 3D fluorescence ground truth and obtaining accurate voxel-level co-registration of image pairs for AI training is not viable for high-throughput cytometry. The recent statistical inference approach is a significant step forward for label-free specificity but remains limited to cells' nuclei. Here, a generalized computational strategy based on a self-consistent statistical inference to achieve intracellular multi-specificity is shown. Various subcellular compartments (i.e., nuclei, cytoplasmic vacuoles, the peri-vacuolar membrane area, cytoplasm, vacuole-nucleus contact site) can be identified and characterized quantitatively at different phases of the cells life cycle by using yeast cells as a biological model. Moreover, for the first time, virtual reality is introduced for handling the information content of multi-specificity in single cells. Full fruition is proofed for exploring and interacting with 3D quantitative biophysical parameters of the identified compartments on demand, thus opening the route to a metaverse for 3D microscopy

Future area expansion outweighs increasing drought risk for soybean in Europe

The European Union is highly dependent on soybean imports from overseas to meet its protein demands. Individual Member States have been quick to declare self-sufficiency targets for plant-based proteins, but detailed strategies are still lacking. Rising global temperatures have painted an image of a bright future for soybean production in Europe, but emerging climatic risks such as drought have so far not been included in any of those outlooks. Here, we present simulations of future soybean production and the most prominent risk factors across Europe using an ensemble of climate and soybean growth models. Projections suggest a substantial increase in potential soybean production area and productivity in Central Europe, while southern European production would become increasingly dependent on supplementary irrigation. Average productivity would rise by 8.3% (RCP 4.5) to 8.7% (RCP 8.5) as a result of improved growing conditions (plant physiology benefiting from rising temperature and CO2 levels) and farmers adapting to them by using cultivars with longer phenological cycles. Suitable production area would rise by 31.4% (RCP 4.5) to 37.7% (RCP 8.5) by the mid-century, contributing considerably more than productivity increase to the production potential for closing the protein gap in Europe. While wet conditions at harvest and incidental cold spells are the current key challenges for extending soybean production, the models and climate data analysis anticipate that drought and heat will become the dominant limitations in the future. Breeding for heat-tolerant and water-efficient genotypes is needed to further improve soybean adaptation to changing climatic conditions

Nuclear Shield: A Multi-Enzyme Task-Force for Nucleus Protection

In eukaryotic cells the nuclear envelope isolates and protects DNA from molecules that could damage its structure or interfere with its processing. Moreover, selected protection enzymes and vitamins act as efficient guardians against toxic compounds both in the nucleoplasm and in the cytosol. The observation that a cytosolic detoxifying and antioxidant enzyme i.e. glutathione transferase is accumulated in the perinuclear region of the rat hepatocytes suggests that other unrecognized modalities of nuclear protection may exist. Here we show evidence for the existence of a safeguard enzyme machinery formed by an hyper-crowding of cationic enzymes and proteins encompassing the nuclear membrane and promoted by electrostatic interactions