What policies do we need for Southern Italy? The role of national and regional policies in the last decade

In this paper we examine the Italian regional policies launched in the second half of the 1990s and aimed at promoting the development of Southern Italy. Ten years on, the goals have not been reached, either in terms of social and economic development, or of the performance of firms receiving government aid. In evaluating the discrepancy between targets and results we argue that the failure of regional policies is a facet of the more general failure of Italian economic policies in the last fifteen years, clearly witnessed by the stagnation of growth and productivity both in the North and Centre and in the South. Two main aspects are highlighted: the effectiveness of regional policies has been affected by national legal rules that have had different effects across regions and have usually allowed a lower quality of public expenditure in the South; the effectiveness of regional policies has been diminished also by attributing importance to regional governments as control centres of public intervention.regional policies, regional development, cohesion

Packet Classification via Improved Space Decomposition Techniques

P ack et Classification is a common task in moder n Inter net r outers. The goal is to classify pack ets into "classes" or "flo ws" according to some ruleset that looks at multiple fields of each pack et. Differ entiated actions can then be applied to the traffic depending on the r esult of the classification. Ev en though rulesets can be expr essed in a r elati v ely compact way by using high le v el languages, the r esulting decision tr ees can partition the sear ch space (the set of possible attrib ute v alues) in a potentially v ery lar ge ( and mor e) number of r egions. This calls f or methods that scale to such lar ge pr oblem sizes, though the only scalable pr oposal in the literatur e so far is the one based on a F at In v erted Segment T r ee [1 ]. In this paper we pr opose a new geometric technique called G-filter f or pack et classification on dimensions. G-filter is based on an impr o v ed space decomposition technique. In addition to a theor etical analysis sho wing that classification in G-filter has time complexity and slightly super -linear space in the number of rules, we pr o vide thor ough experiments sho wing that the constants in v olv ed ar e extr emely small on a wide range of pr oblem sizes, and that G-filter impr o v e the best r esults in the literatur e f or lar ge pr oblem sizes, and is competiti v e f or small sizes as well

Prolonged disease-free survival in elderly relapsed diffuse large B-cell lymphoma patients treated with lenalidomide plus rituximab

open4non/aopenZinzani, PIER LUIGI; Pellegrini, Cinzia; Argnani, Lisa; Broccoli, AlessandroZinzani, PIER LUIGI; Pellegrini, Cinzia; Argnani, Lisa; Broccoli, Alessandr

Packet Classification via Improved Space Decomposition Techniques

Packet Classification is a common task in modern Internet routers. In a nutshell, the goal is to classify packets into ``classes\u27\u27 or ``flows\u27\u27 according to some ruleset that looks at multiple fields of each packet. Differentiated actions can then be applied to the traffic depending on the result of the classification. One way to approach the task is to model it as a point location problem in a multidimensional space, partitioned into a large number of regions, (up to $10^6$ or more, generated by the number of possible paths in the decision tree resulting from the specification of the ruleset). Many solutions proposed in the literature not to scale well with the size of the problem, with the exception of one based on a Fat Inverted Segment Tree. In this paper we propose a new geometric filtering technique, called {em g-filter}, which is competitive with the best result in the literature, and is based on an improved space decomposition technique. A theoretical worst case asymptotic analysis shows that classification in {em g-filter} has $O(1)$ time complexity, and space complexity close to linear in the number of rules. Additionally, thorough experiments show that the constants involved are extremely small on a wide range of problem sizes, and improve the best results in the literature. Finally, the g-filter method is not limited to 2-dimensional rules, but can handle any number of attributes with only a moderate increased overhead per additional dimension

Conspiracy beliefs of Italian voters for populist parties: The moderated mediational role of political interest and ideological attitudes

Grounded in the theoretical framework of the dual-process motivational model of ideology and politics, we investigated the mediational role of RWA and SDO on the relationship between voting for populist parties and conspiracy beliefs; the moderation of political interest was also explored. Collapsing different convenience samples gathered after the European election (2014/2015) and the General National Election (2018/2019) allowed us to analyse two datasets (Study 1, n = 4141; Study 2, n = 2301). We hypothesised that populist voters would report higher conspiracy beliefs, RWA, and SDO, compared to non-populist voters and abstainers, and that populist voters would report more conspiracy beliefs through indirect pathways running through RWA and SDO. Furthermore, we hypothesised that such direct and indirect associations would be stronger for individuals with high rather than low political interest. Analyses of variance and moderated mediation models mostly confirmed our expectations, although RWA, and not SDO, mediated the relationships in the expected directions

Psychological bases of anti‐immigration attitudes among populist voters

The ascent of populism has been linked with economic and cultural disruptions of modernization. From this perspective, it could be implied that factors such as psychological insecurity and uncertainty are key in making voters gravitate toward the populist narrative. The present research aimed at highlighting the psychological determinants that uncertainties deriving from modernization processes may activate in populist voters. Specifically, we focused on immigration in Italy, investigating whether and how support for different populist parties relates to development of negative attitudes toward immigrants. Two samples of Italian adults (total N = 1655), who voted in the Italian general elections of March 4, 2018 took part in the research. Multigroup path analysis showed that assumption of anti‐immigration stances through the joint mediating role of Dangerous World Belief and Right‐Wing Authoritarianism was shared by different groups of populist voters. However, different populist voters differed in the strength of the path passing through Competitive Jungle World Belief and Social Dominance Orientation. Results underline the relevance of social worldviews and ideological attitudes in shaping the attitudes of the Italian populist electorate

Employment, collective action, and satisfaction: the moderating role of acceptance of inequality

The present work proposes that the relation of employment conditions (i.e., unemployment and precarious work vs. permanent employment) with participation in collective action and satisfaction with life depends on the extent to which acceptance of inequality is high or low, and that collective action mediates the association between employment conditions and satisfaction with life. We analyzed data from the European Social Survey (Round ', #$!&) and found that (!) when acceptance of inequality is low (vs. high), employment disadvantage is positively related to engagement in collective action and, in turn, satisfaction with life; (#) employment disadvantage is negatively related to satisfaction with life, and this relation increases when acceptance of inequality is low (vs. high). This study generates findings of interest to inequality researchers by showing the relevance of acceptance of inequality for collective action and life satisfaction in the context of employment

Being mindful in the tax context in Italy: Examining whether and how mindfulness relates with tax evasion intentions and support for tax progressivity

Two studies explored whether and how mindfulness relates with citizens' tax evasion intentions and support for progressive tax rates. Based on theoretical and empirical grounds, in Study 1 (N = 1,175) we proposed that mindfulness would be negatively related with tax evasion intentions through decreased social dominance orientation. Drawing on Duckitt's dual-process motivational model, in Study 2 (N = 722) we proposed that mindfulness would be positively related with support for progressive taxation through the mediation of lower competitive-jungle beliefs, and then lower social dominance orientation. Instead, we did not expect to find mediation of the link between mindfulness and support for progressive taxation through dangerous-world beliefs and right-wing authoritarianism. These studies inform about the motivational pathways through which mindfulness relates with tax evasion intentions and support for progressive taxation

Design and Test of the Off-Detector Electronics for the CMS Barrel Muon Trigger

Drift Tubes chambers are used in the CMS barrel for tagging the passage of high Pt muons generated in a LHC event and for triggering the CMS data read out. The Sector Collector (SC) system synchronizes the track segments built by trigger modules on the chambers and deliver them to reconstruction processors (Track Finder, TF) that assemble full muon tracks. Then, the Muon Sorter (MS) has to select the best four candidates in the barrel and to filter fake muons generated by the TF system redundancy. The hardware implementations of the Sector Collector and Muon Sorter systems satisfy radiation, I/O and fast timing constraints using several FPGA technologies. The hardware was tested with custom facilities, integrated with other trigger subsystems, and operated in a beam test. A test beam on a 40 MHz bunched beam validated the local trigger electronics and off-detector prototype cards and the synchronization tools. The CMS Magnet Test and Cosmic challenge in 2006 proved stable and reliable operation of the Drift Tubes trigger and its integration with other trigger systems and with the readout system. Constraints, design, test and operation of the modules are presented

Prolonged Complete Response with Lenalidomide in a Relapsed Diffuse Large B-cell Lymphoma, Leg-type: A Case Report

Introduction: For primary cutaneous diffuse large B-cell lymphoma, leg-type (PC DLBCL-LT) there are no uniform recommendations for second-line treatment in case of relapse. Case presentation: Here we present the case of an elderly relapsed/refractory PC DLBCL-LT patient who obtained a prolonged clinical complete remission with lenalidomide. Conclusion: Lenalidomide as single agent led to an unexpected long complete response with manageable toxicity