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    Book Review, Per non scoprirlo mangiando… ,Maria Caramelli by Manuel Graziani

    Published 2013-06-01
    “…Un incremento di malattie alimentari che, per paradosso, è frutto dell'evoluzione di un mondo senza più frontiere nel quale gli scambi di animali, mangimi e materie prime di origine animale sono oramai incontrollabili.Nonostante i consumatori europei pongano i rischi chimici (come gli additivi) in cima alle preoccupazioni per la propria sicurezza alimentare, secondo la FAO e l'OMS i pericoli maggiori sono invece di natura microbiologica, riguardano cioè virus e batteri in grado di provocare intossicazioni e infezioni con conseguenze anche drammatiche: microrganismi spesso difficili da identificare e in continua espansione, favoriti dalla globalizzazione, dalla trasformazione delle nostre abitudini, dalla complessità dei processi di produzione e distribuzione dei cibi.L'agile libro della dott.ssa Maria Caramelli, Direttore generale dell'IZS di Piemonte Liguria e Valle d'Aosta ed esperta di sicurezza alimentare (una delle più autorevoli studiose italiane di BSE), indaga il vasto mondo delle malattie alimentari partendo dai casi che hanno scatenato allarmi sanitari e crisi economiche di vaste proporzioni scuotendo mass media e opinione pubblica: mucca pazza (BSE), influenza aviaria, diossina nei maiali, mozzarella blu "color puffo", ricotta rosa, fino all'epidemia tedesca del batterio killer nei germogli che tra maggio e luglio del 2011 ha contagiato circa 4.000 persone e provocato 46 decessi. …”
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    A Tool for the Automatic Aggregation and Validation of the Results of Physically Based Distributed Slope Stability Models by Maria Alexandra Bulzinetti, Samuele Segoni, Giulio Pappafico, Elena Benedetta Masi, Guglielmo Rossi, Veronica Tofani

    Published 2021-08-01
    “…The DTVT tool was tested in an alert zone of the Aosta Valley (northern Italy) to investigate the high sensitivity of the results to the values selected for the two thresholds. …”
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    Slope-Scale Evolution Categorization of Deep-Seated Slope Deformation Phenomena with Sentinel-1 Data by Davide Cardone, Martina Cignetti, Davide Notti, Danilo Godone, Daniele Giordan, Fabiana Calò, Simona Verde, Diego Reale, Eugenio Sansosti, Gianfranco Fornaro

    Published 2023-11-01
    “…The methodology was tested on two differently oriented phenomena: the mainly north–south-oriented Croix de Fana and the mainly east–west-oriented Valtournenche DsGSD, located in the Aosta Valley Region, northern Italy. The results show a variation in the kinematic behavior between the morpho-structural domains, while also considering any other superimposed surficial deformations. …”
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    Genetic correlations and causal effects of fighting ability on fitness traits in cattle reveal antagonistic trade-offs by Beniamino Tuliozi, Francesco Tiezzi, Ivana Schoepf, Enrico Mancin, Nadia Guzzo, Roberto Mantovani, Cristina Sartori

    Published 2022-09-01
    “…However, if a trait giving a social advantage is suspected to affect the expression of other traits, MTM could provide some bias, that structural equation models (SEM) could highlight. We used Aosta Chestnut-Black Pied cattle to investigate whether the fighting ability of cows (the capability of winning social dominance interactions) is genetically correlated with health and fitness traits. …”
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    Estimating Afforestation Area Using Landsat Time Series and Photointerpreted Datasets by Alice Cavalli, Saverio Francini, Ronald E. McRoberts, Valentina Falanga, Luca Congedo, Paolo De Fioravante, Mauro Maesano, Michele Munafò, Gherardo Chirici, Giuseppe Scarascia Mugnozza

    Published 2023-02-01
    “…The administrative region with the largest afforested area was Sardinia, with 260,670 ± 58,522 ha, while the smallest area of 28,644 ± 12,114 ha was in Valle d’Aosta. Considering elevation classes of 200 m, the greatest afforestation area was between 400 and 600 m above sea level, where it was 549,497 ± 84,979 ha. …”
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    Monitoring and Management of the Pine Processionary Moth in the North-Western Italian Alps by Chiara Ferracini, Valerio Saitta, Cristina Pogolotti, Ivan Rollet, Flavio Vertui, Luca Dovigo

    Published 2020-11-01
    “…This 6-year investigation (2014–2019), carried out in Aosta Valley (NW Italy), on <i>Pinus sylvestris</i> L. aimed to: (i) Monitor the PPM population with pheromone-baited funnel traps; (ii) assess the infestation index (0–5 classes) according to the degree of defoliation; and (iii) apply control strategies, namely <i>Bacillus thuringiensis</i> var. …”
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