44 research outputs found
Il progetto PNRR presso l’Ufficio GIP-GUP del Tribunale di Milano: primi risultati e capacità di conseguire gli obiettivi 2026
Gli uffici giudiziari hanno stabilito specifici target da raggiungere grazie all’apporto degli addetti all’ufficio per il processo (AUPP) acquisiti grazie ai fondi PNRR. Questo articolo si concentra sulla sezione GIP del Tribunale di Milano, che per le particolari condizioni di criticità vissute nel 2020, ha visto una massiccia iniezione di personale aggiuntivo e un conseguente riassetto organizzativo. L’analisi mostra che tutti gli indicatori di performance appaiono nel 2022 in deciso miglioramento e che gli AUPP contribuiscono alla più rapida gestione delle fasi a cui sono assegnati. Nonostante questi buoni risultati, i target 2026 non saranno raggiunti: l’apporto degli AUPP non è infatti sufficiente a compensare le scoperture di organico e le carenze strutturali e tecnologiche dell’ufficio. Per conseguire l’impatto atteso dal PNRR – riduzione dei tempi di giustizia e eliminazione dell’arretrato – appare cruciale pianificare in modo integrato gli strumenti di policy e monitorarne l’implementazione, ponendo attenzione alla qualità dei dati a supporto della strategia organizzativa
Studio del comportamento meccanico di una sabbia potenzialmente liquefacibile trattata con miscele a diversa concentrazione di silice colloidale
L’intestino come nuovo target terapeutico per la prevenzione delle malattie cardiovascolari in un gruppo di soggetti adulti obesi vs non obesi.
The Large Zinc Finger Protein ZAS3 Is a Critical Modulator of Osteoclastogenesis
Mice deficient in the large zinc finger protein, ZAS3, show postnatal increase in bone mass suggesting that ZAS3 is critical in the regulation of bone homeostasis. Although ZAS3 has been shown to inhibit osteoblast differentiation, its role on osteoclastogenesis has not been determined. In this report we demonstrated the role of ZAS3 in bone resorption by examining the signaling mechanisms involved in osteoclastogenesis.Comparison of adult wild-type and ZAS3 knockout (ZAS3-/-) mice showed that ZAS3 deficiency led to thicker bones that are more resistant to mechanical fracture. Additionally, ZAS3-/- bones showed fewer osteoclasts and inefficient M-CSF/sRANKL-mediated osteoclastogenesis ex vivo. Utilizing RAW 264.7 pre-osteoclasts, we demonstrated that overexpression of ZAS3 promoted osteoclastogenesis and the expression of crucial osteoclastic molecules, including phospho-p38, c-Jun, NFATc1, TRAP and CTSK. Contrarily, ZAS3 silencing by siRNA inhibited osteoclastogenesis. Co-immunoprecipitation experiments demonstrated that ZAS3 associated with TRAF6, the major receptor associated molecule in RANK signaling. Furthermore, EMSA suggested that nuclear ZAS3 could regulate transcription by binding to gene regulatory elements.Collectively, the data suggested a novel role of ZAS3 as a positive regulator of osteoclast differentiation. ZAS3 deficiency caused increased bone mass, at least in part due to decreased osteoclast formation and bone resorption. These functions of ZAS3 were mediated via activation of multiple intracellular targets. In the cytoplasmic compartment, ZAS3 associated with TRAF6 to control NF-kB and MAP kinase signaling cascades. Nuclear ZAS3 acted as a transcriptional regulator for osteoclast-associated genes. Additionally, ZAS3 activated NFATc1 required for the integration of RANK signaling in the terminal differentiation of osteoclasts. Thus, ZAS3 was a crucial molecule in osteoclast differentiation, which might potentially serve as a target in the design of therapeutic interventions for the treatment of bone diseases related to increased osteoclast activity such as postmenopausal osteoporosis, Paget's disease, and rheumatoid arthritis
The first Italian blast-induced liquefaction test (Mirabello, Emilia-Romagna, Italy): Description of the experiment and preliminary results
Semi-empirical relationships to assess the seismic performance of slopes from an updated version of the Italian seismic database
Funder: Dipartimento della Protezione Civile, Presidenza del Consiglio dei Ministri; doi: http://dx.doi.org/10.13039/100012783; Grant(s): ReLUIS research project - Working Pachage 16: Geotechnical Engineering - Task Group 2: Slope stabilityAbstractSeismic performance of slopes can be assessed through displacement-based procedures where earthquake-induced displacements are usually computed following Newmark-type calculations. These can be adopted to perform a parametric integration of earthquake records to evaluate permanent displacements for different slope characteristics and seismic input properties. Several semi-empirical relationships can be obtained for different purposes: obtaining site-specific displacement hazard curves following a fully-probabilistic approach, to assess the seismic risk associated with the slope; providing semi-empirical models within a deterministic framework, where the seismic-induced permanent displacement is compared with threshold values related to different levels of seismic performance; calibrating the seismic coefficient to be used in pseudo-static calculations, where a safety factor against limit conditions is computed. In this paper, semi-empirical relationships are obtained as a result of a parametric integration of an updated version of the Italian strong-motion database, that, in turn, is described and compared to older versions of the database and to well-known ground motion prediction equations. Permanent displacement is expressed as a function of either ground motion parameters, for a given yield seismic coefficient of the slope, or of both ground motion parameters and the seismic coefficient. The first are meant to be used as a tool to develop site-specific displacement hazard curves, while the last can be used to evaluate earthquake-induced slope displacements, as well as to calibrate the seismic coefficient to be used in a pseudo-static analysis. Influence of the vertical component of seismic motion on these semi-empirical relationships is also assessed.</jats:p
P2X7 receptor mediates activation of microglial cells in prostate of chemically irritated rats
Computational and experimental study of seismic site effects on Amatrice hill
Amatrice is considered the town symbol of the destructive effects induced by 2016 Central Italy seismic sequence. As a result of the two main shocks (August 24th, M=6.0 and October 30th, M=6.5) the ancient urban area of the municipality, located on a hilly promontory, was heavily damaged. Old buildings, but also renovated and new buildings, suffered many cracks and collapses. Subsoil geological, geophysical and geotechnical data were collected in the area and seismic data were also available. By using and interpreting the subsoil data, a 3D-GIS model was developed, that is the basic geometrical model for SiSeRHMap hybrid-analysis. Several 2D sections crossing the seismic station sites were extracted from this model and analyzed by 2D-FEM numerical approaches. Comparison of numerical results and seismic experimental data allowed to: i) validate the subsoil model used in the simulations; ii) show the significant role of the topographic effects in the area under study; and iii) point out the variability of the 2D numerical results depending on the direction of the analyzed cross-sections
Dynamic characterization of fine-grained soils for the seismic microzonation of central Italy
An accurate measurement of dynamic soil properties is essential to predict the nonlinear soil behavior under seismic loading conditions. This paper presents a database of cyclic and dynamic laboratory tests carried out after the 2016-2017 Central Italy Earthquake sequence, as part of the seismic microzonation studies in the area. The database consists of experimental results obtained on 79 samples investigated by means of dynamic resonant column tests, cyclic torsional shear tests or cyclic double specimen direct simple shear tests. The dynamic soil behavior is analyzed with reference to the small-strain wave velocity and damping ratio and to the modulus reduction and damping ratio curves. Experimental data are compared with the most widely used predictive models to underline the peculiarities of the investigated soils. Finally, a predictive model is calibrated to capture the nonlinear behavior of typical fine-grained soils from Central Italy