A proposal of a new methodology for best location of environmentally sustainable roads infrastructures. Validation along the Fabriano-Muccia road

El trabajo contempla la creación de un modelo para definir la mejor localización en el territorio de nuevos proyectos de infraestructuras viarias y su convalidación en una carretera que forma parte de un proyecto de gran envergadura denominado Cuadrilátero Marcas-Umbría, en vías de realización. El objetivo del trabajo consiste en la puesta a punto de una herramienta ágil y versátil, capaz de sopesar, interpretándolos de forma correlacionada, los distintos aspectos de carácter medioambiental, socioeconómico, técnico y operativo, ligados a la construcción de una obra viaria. Se ha prestado especial atención a las dinámicas de uso y consumo de los hábitats naturales y a las problemáticas vinculadas a los fenómenos de fragmentación ecológica provocados por la red viaria y los asentamientos. La metodología que se ha puesto a punto prevé la recogida y la implementación, dentro de un sistema de información territorial dedicado, de un amplio abanico de datos capaces de definir las características peculiares del ámbito que es objeto del estudio, posteriormente interpretados y reconducidos a síntesis mediante la aplicación de una serie de indicadores específicos. Los indicadores definidos se incorporan posteriormente mediante la aplicación de técnicas de análisis multicriterio para definir un índice de evaluación sintético capaz de estimar de forma correlacionada la sensibilidad del territorio ante la introducción de nuevas infraestructuras viarias. Para convalidar la metodología, los índices propuestos se han aplicado a un área de estudio donde se está construyendo una infraestructura viaria de importancia considerable para las conexiones transversales de Italia central

The MAGO experiment for dust environment monitoring on the Martian surface

Among the main directions identified for future Martian exploration, the study of the properties of dust dispersed in the atmosphere, its cycle and the impact on climate are considered of primary relevance. Dust storms, dust devils and the dust ``cycle'' have been identified and studied by past remote and in situ experiments, but little quantitative information is available on these processes, so far. The airborne dust contributes to the determination of the dynamic and thermodynamic evolution of the atmosphere, including the large-scale circulation processes and its impact on the climate of Mars. Moreover, aeolian erosion, redistribution of dust on the surface and weathering processes are mostly known only qualitatively. In order to improve our knowledge of the airborne dust evolution and other atmospheric processes, it is mandatory to measure the amount, mass-size distribution and dynamical properties of solid particles in the Martian atmosphere as a function of time. In this context, there is clearly a need for the implementation of experiments dedicated to study directly atmospheric dust. The Martian atmospheric grain observer (MAGO) experiment is aimed at providing direct quantitative measurements of mass and size distributions of dust particles, a goal that has never been fully achieved so far. The instrument design combines three types of sensors to monitor in situ the dust mass flux (micro balance system, MBS) and single grain properties (grain detection system, GDS+impact sensor, IS). Technical solutions and science capabilities are discussed in this paper

Comorbidities, Cardiovascular Therapies, and COVID-19 Mortality: A Nationwide, Italian Observational Study (ItaliCO)

Background: Italy has one of the world\u2019s oldest populations, and suffered one the highest death tolls from Coronavirus disease 2019 (COVID-19) worldwide. Older people with cardiovascular diseases (CVDs), and in particular hypertension, are at higher risk of hospitalization and death for COVID-19. Whether hypertensionmedicationsmay increase the risk for death in older COVID 19 inpatients at the highest risk for the disease is currently unknown. Methods: Data from 5,625 COVID-19 inpatients were manually extracted from medical charts from 61 hospitals across Italy. From the initial 5,625 patients, 3,179 were included in the study as they were either discharged or deceased at the time of the data analysis. Primary outcome was inpatient death or recovery. Mixed effects logistic regression models were adjusted for sex, age, and number of comorbidities, with a random effect for site. Results: A large proportion of participating inpatients were 65 years old (58%), male (68%), non-smokers (93%) with comorbidities (66%). Each additional comorbidity increased the risk of death by 35% [adjOR = 1.35 (1.2, 1.5) p < 0.001]. Use of ACE inhibitors, ARBs, beta-blockers or Ca-antagonists was not associated with significantly increased risk of death. There was a marginal negative association between ARB use and death, and a marginal positive association between diuretic use and death. Conclusions: This Italian nationwide observational study of COVID-19 inpatients, the majority of which 65 years old, indicates that there is a linear direct relationship between the number of comorbidities and the risk of death. Among CVDs, hypertension and pre-existing cardiomyopathy were significantly associated with risk of death. The use of hypertension medications reported to be safe in younger cohorts, do not contribute significantly to increased COVID-19 related deaths in an older population that suffered one of the highest death tolls worldwide

Risk factors and action thresholds for the novel coronavirus pandemic. Insights from the Italian Society of Nephrology COVID-19 Survey

365noBackground and aim: Over 80% (365/454) of the nation’s centers participated in the Italian Society of Nephrology COVID-19 Survey. Out of 60,441 surveyed patients, 1368 were infected as of April 23rd, 2020. However, center-specific proportions showed substantial heterogeneity. We therefore undertook new analyses to identify explanatory factors, contextual effects, and decision rules for infection containment. Methods: We investigated fixed factors and contextual effects by multilevel modeling. Classification and Regression Tree (CART) analysis was used to develop decision rules. Results: Increased positivity among hemodialysis patients was predicted by center location [incidence rate ratio (IRR) 1.34, 95% confidence interval (CI) 1.20–1.51], positive healthcare workers (IRR 1.09, 95% CI 1.02–1.17), test-all policy (IRR 5.94, 95% CI 3.36–10.45), and infected proportion in the general population (IRR 1.002, 95% CI 1.001–1.003) (all p < 0.01). Conversely, lockdown duration exerted a protective effect (IRR 0.95, 95% CI 0.94–0.98) (p < 0.01). The province-contextual effects accounted for 10% of the total variability. Predictive factors for peritoneal dialysis and transplant cases were center location and infected proportion in the general population. Using recursive partitioning, we identified decision thresholds at general population incidence ≥ 229 per 100,000 and at ≥ 3 positive healthcare workers. Conclusions: Beyond fixed risk factors, shared with the general population, the increased and heterogeneous proportion of positive patients is related to the center’s testing policy, the number of positive patients and healthcare workers, and to contextual effects at the province level. Nephrology centers may adopt simple decision rules to strengthen containment measures timely.nonenoneNordio M.; Reboldi G.; Di Napoli A.; Quintaliani G.; Alberici F.; Postorino M.; Aucella F.; Messa P.; Brunori G.; Brunori G.; Bosco M.; Malberti F.; Mandreoli M.; Mazzaferro S.; Movilli E.; Ravera M.; Salomone M.; Santoro D.; PostorinoLimido M.A.; Bonomini M.; Stingone A.; Maccarone M.; Di Loreto E.; Stacchiotti L.; Malandra R.; Chiarella S.; D'Agostino F.; Fuiano G.; Nicodemo L.; Bonofiglio R.; Greco S.; Mallamaci F.; Barreca E.; Caserta C.; Bruzzese V.; Galati D.; Tramontana D.; Viscione M.; Chiuchiolo L.; Tuccillo S.; Sepe M.; Vitale F.; Ciriana E.; Santoro D.; Martignetti V.; Caserta D.; Stizzo A.; Romano A.; Iulianiello G.; Cascone E.; Minicone P.; Chiricone D.; Delgado G.; Barbato A.; Celentano S.; Molfino I.; Coppola S.; Raiola I.; Abategiovanni M.; Borrelli S.; Margherita C.; Bruno F.; Ida M.; Aliperti E.; Potito D.; Cuomo G.; De Luca M.; Merola M.; Botta C.; Garofalo G.; Alinei P.; Paglionico C.; Roano M.; Vitale S.; Ierardi R.; Fimiani V.; Conte G.; Di Natale G.; Romano M.; Di Marino V.; Scafarto A.; Meccariello S.; Pecoraro C.; Di Stazio E.; Di Meglio E.; Cuomo A.; Maresca B.; Rotaia E.; Capasso G.; Auricchio M.; Pluvio C.; Maddalena L.; De Maio A.; Palladino G.; Buono F.; Gigliotti G.; Mandreoli M.; Mancini E.; La Manna G.; Storari A.; Mosconi G.; Cappelli G.; Scarpioni R.; Gregorini M.; Rigotti A.; Mancini W.; Bianco F.; Boscutti G.; Amici G.; Tosto M.; Fini R.; Pace G.; Cioffi A.; Boccia E.; Di Lullo L.; Di Zazzo G.; Simonelli R.; Bondatti F.; Miglio L.; Rifici N.; Treglia A.; Muci M.; Baldinelli G.; Rizzi E.; Lonzi M.; De Cicco C.; Forte F.; De Paolis P.; Grandaliano G.; Cuzziol C.; Torre V.M.; Sfregola P.; Rossi V.; Fabio G.; Flammini A.; Filippini A.; Onorato L.; Vendola F.; Di Daniela N.; Alfarone C.; Scabbia L.; Ferrazzano M.; Grotta B.D.; Gamberini M.; Fazzari L.; Mene P.; Morgia A.; Catucci A.; Palumbo R.; Puliti M.; Marinelli R.; Polito P.; Marrocco F.; Morabito S.; Rocca R.; Nazzaro L.; Lavini R.; Iamundo V.; Chiappini M.; Casarci M.; Morosetti M.; Hassan S.; Alfarone C.; Ferrazzano M.; Firmi G.; Galliani M.; Serraiocco M.; Feriozzi S.; Valentini W.; Sacco P.; Garibotto G.; Cappelli V.; Saffioti C.; Repetto M.; Rolla D.; Lorenz M.; Pedrini L.; Polonioli D.; Galli E.; Ruggenenti P.; Scolari F.; Bove S.; Costantino E.; Bracchi M.; Mangano S.; Depetri G.; Malberti F.; La Milia V.; Farina M.; Zecchini S.; Savino R.; Melandri M.; Guastoni C.; Paparella M.; Gallieni M.; Minetti E.; Bisegna S.; Messa P.; Righetti M.; Badalamenti S.; Guastoni C.; Alberghini E.; Bertoli S.; Fabbrini P.; Albrizio P.; Rampino T.; Colturi C.; Rombola G.; Lucatello A.; Guerrini E.; Ranghino A.; Lenci F.; Fanciulli E.; Santarelli S.; Damiani C.; Garofalo D.; Sopranzi F.; Santoferrara A.; Di Luca M.; Galiotta P.; Brigante M.; Manganaro M.; Maffei S.; Berto I.; Besso L.; Viglino G.; Besso L.; Cusinato S.; ChiarinottiChiappero D.F.; Tognarelli G.; Gianoglio B.; Salomone M.; Forneris G.; Biancone L.; Savoldi S.; Vitale C.; Boero R.; Filiberti O.; Borzumati M.; Gesualdo L.; Lomonte C.; Gernone G.; Pallotta G.; Di Paolo S.; Vernaglione L.; Specchio A.; Stallone G.; Dell'Aquila R.; Aucella F.; Sandri G.; Russo F.; Napoli M.; Marangi A.; Morrone L.; Di Stratis C.; Fresu A.; Cicu F.; Murtas S.; Manca O.; Pani A.; Pilloni M.; Pistis R.; Cadoni M.; Contu B.; Logias F.; Ivaldi R.; Fancello S.; Cossu M.; Lepori G.; Lepori G.; Vittoria S.; Battiati E.; Arnone M.; Rome M.; Barbera A.; Granata A.; Collura G.; Dico C.L.; Pugliese G.; Di Natale E.; Rizzari G.; Cottone L.; Longo N.; Battaglia G.; Marcantoni C.; Giannetto G.; Tumino G.; Randazzo F.; Bellissimo L.; Faro F.L.; Grippaldi F.; Urso S.; Quattrone G.; Todaro I.; Vincenzo D.; Murgo A.; Masuzzo M.; Pisacane A.; Monardo P.; Santoro D.; Pontorierro M.; Quari C.; Bauro A.; Chimenz R.R.; Alfio D.; Girasole F.; Cascio A.L.; Caviglia A.; Tornese F.; Sirna F.; Altieri C.; Cusumano R.; Saveriano V.; La Corte A.; Locascio G.; Rotolo U.; Rome M.; Musso S.; Risuglia L.; Blanco G.; Minardo G.; Castellino S.; Zappulla Z.; Randone S.; Di Francesca M.; Cassetti C.C.; Oddo G.; Buscaino G.; Mucaria F.; Barraco V.I.; Di Martino A.; Mucaria F.; Rallo D.; Dani L.; Campolo G.; Manescalchi F.; Biagini M.; Agate M.; Panichi V.; Casani A.; Traversari L.; Garosi G.; Brunori G.; Tabbi M.; Selvi A.; Cencioni L.; Fagugli R.; Timio F.; Leveque A.; Manes M.; Mennella G.; Calo L.; Fiorini F.; Abaterusso C.; Calzavara P.; Nordio M.; Meneghel G.; Bonesso C.; Gambaro G.; Gammaro L.; Rugiu C.; Dell'Aquila R.; Dell'Aquila R.; Ronco C.; Rugiu C.Nordio, M.; Reboldi, G.; Di Napoli, A.; Quintaliani, G.; Alberici, F.; Postorino, M.; Aucella, F.; Messa, P.; Brunori, G.; Brunori, G.; Bosco, M.; Malberti, F.; Mandreoli, M.; Mazzaferro, S.; Movilli, E.; Ravera, M.; Salomone, M.; Santoro, D.; Postorinolimido, M. A.; Bonomini, M.; Stingone, A.; Maccarone, M.; Di Loreto, E.; Stacchiotti, L.; Malandra, R.; Chiarella, S.; D'Agostino, F.; Fuiano, G.; Nicodemo, L.; Bonofiglio, R.; Greco, S.; Mallamaci, F.; Barreca, E.; Caserta, C.; Bruzzese, V.; Galati, D.; Tramontana, D.; Viscione, M.; Chiuchiolo, L.; Tuccillo, S.; Sepe, M.; Vitale, F.; Ciriana, E.; Santoro, D.; Martignetti, V.; Caserta, D.; Stizzo, A.; Romano, A.; Iulianiello, G.; Cascone, E.; Minicone, P.; Chiricone, D.; Delgado, G.; Barbato, A.; Celentano, S.; Molfino, I.; Coppola, S.; Raiola, I.; Abategiovanni, M.; Borrelli, S.; Margherita, C.; Bruno, F.; Ida, M.; Aliperti, E.; Potito, D.; Cuomo, G.; De Luca, M.; Merola, M.; Botta, C.; Garofalo, G.; Alinei, P.; Paglionico, C.; Roano, M.; Vitale, S.; Ierardi, R.; Fimiani, V.; Conte, G.; Di Natale, G.; Romano, M.; Di Marino, V.; Scafarto, A.; Meccariello, S.; Pecoraro, C.; Di Stazio, E.; Di Meglio, E.; Cuomo, A.; Maresca, B.; Rotaia, E.; Capasso, G.; Auricchio, M.; Pluvio, C.; Maddalena, L.; De Maio, A.; Palladino, G.; Buono, F.; Gigliotti, G.; Mandreoli, M.; Mancini, E.; La Manna, G.; Storari, A.; Mosconi, G.; Cappelli, G.; Scarpioni, R.; Gregorini, M.; Rigotti, A.; Mancini, W.; Bianco, F.; Boscutti, G.; Amici, G.; Tosto, M.; Fini, R.; Pace, G.; Cioffi, A.; Boccia, E.; Di Lullo, L.; Di Zazzo, G.; Simonelli, R.; Bondatti, F.; Miglio, L.; Rifici, N.; Treglia, A.; Muci, M.; Baldinelli, G.; Rizzi, E.; Lonzi, M.; De Cicco, C.; Forte, F.; De Paolis, P.; Grandaliano, G.; Cuzziol, C.; Torre, V. M.; Sfregola, P.; Rossi, V.; Fabio, G.; Flammini, A.; Filippini, A.; Onorato, L.; Vendola, F.; Di Daniela, N.; Alfarone, C.; Scabbia, L.; Ferrazzano, M.; Grotta, B. D.; Gamberini, M.; Fazzari, L.; Mene, P.; Morgia, A.; Catucci, A.; Palumbo, R.; Puliti, M.; Marinelli, R.; Polito, P.; Marrocco, F.; Morabito, S.; Rocca, R.; Nazzaro, L.; Lavini, R.; Iamundo, V.; Chiappini, M.; Casarci, M.; Morosetti, M.; Hassan, S.; Alfarone, C.; Ferrazzano, M.; Firmi, G.; Galliani, M.; Serraiocco, M.; Feriozzi, S.; Valentini, W.; Sacco, P.; Garibotto, G.; Cappelli, V.; Saffioti, C.; Repetto, M.; Rolla, D.; Lorenz, M.; Pedrini, L.; Polonioli, D.; Galli, E.; Ruggenenti, P.; Scolari, F.; Bove, S.; Costantino, E.; Bracchi, M.; Mangano, S.; Depetri, G.; Malberti, F.; La Milia, V.; Farina, M.; Zecchini, S.; Savino, R.; Melandri, M.; Guastoni, C.; Paparella, M.; Gallieni, M.; Minetti, E.; Bisegna, S.; Messa, P.; Righetti, M.; Badalamenti, S.; Guastoni, C.; Alberghini, E.; Bertoli, S.; Fabbrini, P.; Albrizio, P.; Rampino, T.; Colturi, C.; Rombola, G.; Lucatello, A.; Guerrini, E.; Ranghino, A.; Lenci, F.; Fanciulli, E.; Santarelli, S.; Damiani, C.; Garofalo, D.; Sopranzi, F.; Santoferrara, A.; Di Luca, M.; Galiotta, P.; Brigante, M.; Manganaro, M.; Maffei, S.; Berto, I.; Besso, L.; Viglino, G.; Besso, L.; Cusinato, S.; Chiarinottichiappero, D. F.; Tognarelli, G.; Gianoglio, B.; Salomone, M.; Forneris, G.; Biancone, L.; Savoldi, S.; Vitale, C.; Boero, R.; Filiberti, O.; Borzumati, M.; Gesualdo, L.; Lomonte, C.; Gernone, G.; Pallotta, G.; Di Paolo, S.; Vernaglione, L.; Specchio, A.; Stallone, G.; Dell'Aquila, R.; Aucella, F.; Sandri, G.; Russo, F.; Napoli, M.; Marangi, A.; Morrone, L.; Di Stratis, C.; Fresu, A.; Cicu, F.; Murtas, S.; Manca, O.; Pani, A.; Pilloni, M.; Pistis, R.; Cadoni, M.; Contu, B.; Logias, F.; Ivaldi, R.; Fancello, S.; Cossu, M.; Lepori, G.; Lepori, G.; Vittoria, S.; Battiati, E.; Arnone, M.; Rome, M.; Barbera, A.; Granata, A.; Collura, G.; Dico, C. L.; Pugliese, G.; Di Natale, E.; Rizzari, G.; Cottone, L.; Longo, N.; Battaglia, G.; Marcantoni, C.; Giannetto, G.; Tumino, G.; Randazzo, F.; Bellissimo, L.; Faro, F. L.; Grippaldi, F.; Urso, S.; Quattrone, G.; Todaro, I.; Vincenzo, D.; Murgo, A.; Masuzzo, M.; Pisacane, A.; Monardo, P.; Santoro, D.; Pontorierro, M.; Quari, C.; Bauro, A.; Chimenz, R. R.; Alfio, D.; Girasole, F.; Cascio, A. L.; Caviglia, A.; Tornese, F.; Sirna, F.; Altieri, C.; Cusumano, R.; Saveriano, V.; La Corte, A.; Locascio, G.; Rotolo, U.; Rome, M.; Musso, S.; Risuglia, L.; Blanco, G.; Minardo, G.; Castellino, S.; Zappulla, Z.; Randone, S.; Di Francesca, M.; Cassetti, C. C.; Oddo, G.; Buscaino, G.; Mucaria, F.; Barraco, V. I.; Di Martino, A.; Mucaria, F.; Rallo, D.; Dani, L.; Campolo, G.; Manescalchi, F.; Biagini, M.; Agate, M.; Panichi, V.; Casani, A.; Traversari, L.; Garosi, G.; Brunori, G.; Tabbi, M.; Selvi, A.; Cencioni, L.; Fagugli, R.; Timio, F.; Leveque, A.; Manes, M.; Mennella, G.; Calo, L.; Fiorini, F.; Abaterusso, C.; Calzavara, P.; Nordio, M.; Meneghel, G.; Bonesso, C.; Gambaro, G.; Gammaro, L.; Rugiu, C.; Dell'Aquila, R.; Dell'Aquila, R.; Ronco, C.; Rugiu, C

Risk factors and action thresholds for the novel coronavirus pandemic. Insights from the Italian Society of Nephrology COVID-19 Survey

Background and aim: Over 80% (365/454) of the nation\u2019s centers participated in the Italian Society of Nephrology COVID-19 Survey. Out of 60,441 surveyed patients, 1368 were infected as of April 23rd, 2020. However, center-specific proportions showed substantial heterogeneity. We therefore undertook new analyses to identify explanatory factors, contextual effects, and decision rules for infection containment. Methods: We investigated fixed factors and contextual effects by multilevel modeling. Classification and Regression Tree (CART) analysis was used to develop decision rules. Results: Increased positivity among hemodialysis patients was predicted by center location [incidence rate ratio (IRR) 1.34, 95% confidence interval (CI) 1.20\u20131.51], positive healthcare workers (IRR 1.09, 95% CI 1.02\u20131.17), test-all policy (IRR 5.94, 95% CI 3.36\u201310.45), and infected proportion in the general population (IRR 1.002, 95% CI 1.001\u20131.003) (all p &lt; 0.01). Conversely, lockdown duration exerted a protective effect (IRR 0.95, 95% CI 0.94\u20130.98) (p &lt; 0.01). The province-contextual effects accounted for 10% of the total variability. Predictive factors for peritoneal dialysis and transplant cases were center location and infected proportion in the general population. Using recursive partitioning, we identified decision thresholds at general population incidence 65 229 per 100,000 and at 65 3 positive healthcare workers. Conclusions: Beyond fixed risk factors, shared with the general population, the increased and heterogeneous proportion of positive patients is related to the center\u2019s testing policy, the number of positive patients and healthcare workers, and to contextual effects at the province level. Nephrology centers may adopt simple decision rules to strengthen containment measures timely

Risk factors and action thresholds for the novel coronavirus pandemic. Insights from the Italian Society of Nephrology COVID-19 Survey

Background and aim: Over 80% (365/454) of the nation’s centers participated in the Italian Society of Nephrology COVID-19 Survey. Out of 60,441 surveyed patients, 1368 were infected as of April 23rd, 2020. However, center-specific proportions showed substantial heterogeneity. We therefore undertook new analyses to identify explanatory factors, contextual effects, and decision rules for infection containment. Methods: We investigated fixed factors and contextual effects by multilevel modeling. Classification and Regression Tree (CART) analysis was used to develop decision rules. Results: Increased positivity among hemodialysis patients was predicted by center location [incidence rate ratio (IRR) 1.34, 95% confidence interval (CI) 1.20–1.51], positive healthcare workers (IRR 1.09, 95% CI 1.02–1.17), test-all policy (IRR 5.94, 95% CI 3.36–10.45), and infected proportion in the general population (IRR 1.002, 95% CI 1.001–1.003) (all p &lt; 0.01). Conversely, lockdown duration exerted a protective effect (IRR 0.95, 95% CI 0.94–0.98) (p &lt; 0.01). The province-contextual effects accounted for 10% of the total variability. Predictive factors for peritoneal dialysis and transplant cases were center location and infected proportion in the general population. Using recursive partitioning, we identified decision thresholds at general population incidence ≥ 229 per 100,000 and at ≥ 3 positive healthcare workers. Conclusions: Beyond fixed risk factors, shared with the general population, the increased and heterogeneous proportion of positive patients is related to the center’s testing policy, the number of positive patients and healthcare workers, and to contextual effects at the province level. Nephrology centers may adopt simple decision rules to strengthen containment measures timely

Risk factors and action thresholds for the novel coronavirus pandemic. Insights from the Italian Society of Nephrology COVID-19 Survey

Over 80% (365/454) of the nation's centers participated in the Italian Society of Nephrology COVID-19 Survey. Out of 60,441 surveyed patients, 1368 were infected as of April 23rd, 2020. However, center-specific proportions showed substantial heterogeneity. We therefore undertook new analyses to identify explanatory factors, contextual effects, and decision rules for infection containment