A GEO-REFERENCED DATABASE TO MANAGE THE LANDSCAPE AREAS UNDER PRESERVATION IN LOMBARDY REGION

Abstract. One of the main goals of the Lombardy Region Landscape Plan (Piano Paesaggistico Regionale – PPR) review was to set up a detailed investigation of landscape binding actions that are issued according to article 136 of the Code of Cultural Heritage and Landscape (D.Lgs. 42/2004).To achieve this goal, a survey was launched and a geo-referenced database was constructed, considering all the data included in the 888 landscape binding actions currently in force in Lombardy.The geo-referenced database takes into account also other architectural preservation measures and natural landscape protections, because a large quantity areas in Lombardy are safeguarded as Regional Parks and Natural Monuments, ecological corridors, geosites and various zones with natural significance are issued as ZPS and SIC by UE.Databases from other agencies and institutions were collected, examined and updated, to provide a complete tool, usable by public administrations and professionals.Such database can also be integrated by multi-temporal geoinformation availability of applications implemented to manage and share georeferenced historical maps (i.e. GEOPAN ATL@S APP), boosting the utility of these data sets in the daily professional activity.</p

Predictors of prosocial behavior during the covid-19 national lockdown in italy: Testing the role of psychological sense of community and other community assets

There is growing support for viewing communities as a multilevel construct in which the interdependence between individuals and community systems contributes to the promotion of individual responsibilities in thinking and enacting changes to respond to people\u2019s and community\u2019s needs. However, there is currently scant evidence regarding the influence of psychological sense of community and the role of community assets on prosocial behavior during the COVID-19 national lockdown. The main aim of the current study was to test a conceptual model of community assets as predictors of prosocial behavior during Italy\u2019s COVID-19 national lockdown. A sample of 3,964 Italian adults was involved in the current study. We collected data using an online questionnaire, between April 12 and May 21, 2020, during the nationwide lockdown restrictions. To collect data, we employed convenience and virtual snowball sampling strategies (i.e., email, social networks, and online channels). Using structural equation modeling, we found that prosocial behavior was predicted by sense of community responsibility but not by sense of community. Moreover, sense of community and sense of community responsibility were predicted by community members\u2019 perception of its assets, in particular collective resilience and adequate information. Finally, trust in the institutional response to the pandemic predicted community members\u2019 perception of collective resilience and receiving adequate information through the community. The present study suggests that community qualities, positively perceived by community members, are crucial in promoting prosocial behaviors and producing collective goods during a pandemic

Prosocial behaviours under collective quarantine conditions. A latent class analysis study during the 2020 COVID-19 lockdown in Italy

We aimed to identify the patterns of prosocial behaviours under collective quarantine conditions. Survey data were collected from a sample of Italian adults during the March May 2020 COVID-19 lockdown in Italy. Participants reported on offline and online prosocial behaviours, sense of community responsibility (SoC-R) and perceptions of community resilience. Latent class analysis (LCA) was used for data analysis. A total of 4,045 participants completed the survey, and 2,562 were eligible (72% female; mean age 38.7 years). LCA revealed four classes of prosocial behaviours: Money donors (7%), Online and offline helpers (59%), Online health information sharers (21%) and Neighbour helpers (13%). The classes were partially invariant across age groups (18-35 and 35-65 years). Being a man, having achieved a higher educational level and higher SoC-R scores were associated with belonging to the Online and offline helper class. The members of this class also reported the greatest perceptions of community resilience. The results provide insight on the multidimensionality of prosociality under collective quarantine conditions. Online and offline helpers could be targeted for promoting sustained altruism and involvement in community organisations. For the other groups, programmes should aim at eliminating barriers to help others in multiple ways. Please refer to the Supplementary Material section to find this article's Community and Social Impact Statement

Posterior cortical atrophy and Alzheimer’s disease : a meta-analytic review of neuropsychological and brain morphometry studies

This paper presents the first systematic review and meta-analysis of neuropsychological and brain morphometry studies comparing posterior cortical atrophy (PCA) to typical Alzheimer's disease (tAD). Literature searches were conducted for brain morphometry and neuropsychological studies including a PCA and a tAD group. Compared to healthy controls (HC), PCA patients exhibited significant decreases in temporal, occipital and parietal gray matter (GM) volumes, whereas tAD patients showed extensive left temporal atrophy. Compared to tAD patients, participants with PCA showed greater GM volume reduction in the right occipital gyrus extending to the posterior lobule. In addition, PCA patients showed less GM volume loss in the left parahippocampal gyrus and left hippocampus than tAD patients. PCA patients exhibit significantly greater impairment in Immediate Visuospatial Memory as well as Visuoperceptual and Visuospatial Abilities than patients with tAD. However, tAD patients showed greater impairment in Delayed Auditory/Verbal Memory than patients with PCA. PCA is characterized by significant atrophy of the occipital and parietal regions and severe impairments in visuospatial functioning.JA is funded by a doctoral grant from the Foundation for Science and Technology, FCT (SFRH/BD/64457/2009, co-funded by FSE/POPH). JA and AS are funded by project PIC/IC/83290/2007, which is supported by FEDER (POFC-COMPETE) and FCT. JMS is supported by a fellowship of the project SwitchBox-FP7-HEALTH-2010-grant 259772-2. These organizations had no role in the study design, data collection, analysis, interpretation, or in the decision to submit the paper for publication

Linearity of Piezoresistive Nano-Gauges for MEMS Sensors

AbstractThe work discusses the mechanical properties and the response linearity of sub-micrometric crystalline Silicon beams used as piezoresistive sensing elements (nano-gauges) in MEMS sensors. The study is based on a suitably developed test structure that allows applying bidirectional stresses to a gauge with a cross-section of (250 nm)2, and to monitor the displacement both through a reference linear capacitive sensor and through the nano-gauge piezoresistive variation.Experimental measurements estimate a nominal strength of 6.6 GPa, and a linear range of 2.3 GPa and 1.1 GPa under tensile and compressive stresses respectively, the latter value being limited by buckling effects

stereoselective thio-Michael addition to chalcones in water catalyzed by bovine serum albumin

A biomimetic, inexpensive, and simple method for the stereoselective thio-Michael addition of thiols to chalcones has been developed using bovine serum albumin (BSA) as a catalyst. Optically active products are obtained in high yield and with enantiomeric excesses of up to 70