Effetti di tipologie di suolo e colture foraggere sulle perdite per ruscellamento di azoto, fosforo e potassio in differenti areali italiani

Le colture foraggere svolgono un ruolo importante in molti areali italiani. Per una corretta pianificazione del territorio agricolo è necessario approfondire la conoscenza non solo delle caratteristiche produttive di queste colture, ma anche dei loro rapporti con l'ambiente. Questo lavoro prende in considerazione le perdite di azoto, fosforo e potassio dovute al ruscellamento in colture foraggere a diverso livello di intensificazione (dal pascolo alla coltura di erba medica, dal mais al doppio ciclo di mais e loiessa) in tre ambienti italiani: la Pianura Padana nord-occidentale, l'Appennino Toscano e la pianura sarda, con suoli varianti da franco-sabbioso a franco-argilloso. Il monitoraggio quanti-qualitativo del ruscellamento è stato fatto per periodi variabili da due a sei anni. La pendenza era dello 0,5% per gli appezzamenti in Piemonte e Sardegna e del 10% in Toscana. Per quanto riguarda l'azoto i rilasci sono risultati più bassi nei terreni più pianeggianti, anche per i ridotti volumi di ruscellamento registrati, non superando mai 15 kg di N ha -1 anno -1. Nei terreni in pendenza si sono invece registrati valori più elevati, con un massimo annuale di circa 30 kg ha -1 anno -1 di azoto, in relazione anche all'elevato ruscellamento ed erosione di un evento eccezionale. Per il fosforo solo in pochi casi si sono raggiunte perdite di 5 kg ha -1 anno -1, mentre nella maggior parte dei casi non sono stati superati 2 kg ha -1 anno -1. In Sardegna i rilasci di tale elemento sono da considerarsi pressoché trascurabili. Le perdite di potassio sono risultate minime in Sardegna e massime in Piemonte, dove si sono registrati valori dell' ordine di 10 kg ha -1 anno -1. Ove era possibile il confronto, si è verificato che le colture prative riducono il rilascio di elementi nutritivi rispetto alla coltura del mais e che la qualità delle acque di superficie appare legata piuttosto alle tecniche colturali che alla tipologia di suolo. Fodder crops play an important role in many Italian environments. The knowledge of the main productive characteristics of these crops is as important as their relationships with the environment, expecially for a proper territorial management. This paper compares nitrogen, phosphorous and potassium contents in runoff of some forage crops of different intensity (pasture, lucerne, silage maize, Italian ryegrass/maize double cropping) in different ltalian environments (north-western plain of Piemonte, Apennines hills of Tuscany and Mediterranean plain of Sardegna) on different typology of soils. Runoff data have been collected for periods ranging between two and six year, from plots of different extension and slope (0,5% in the plains, 10% in Apennine hills). Nitrogen losses, for the small amount of runoff, have been qui te low from ilat fields, being always less than 15 kg ha -1 year-1. Losses from slope fields have been higher, with a maximum of 30 kg ha -1 year-1, due to very high level of runoff and erosion in a conspicuous episode. Phosphorous losses only in a few cases were higher than 5 kg ha -I year -I, while mostly they have b>!en less than 2 kg ha -1 year-1. In the Mediterranean plain such losses have been quite insignificant. Minimum potassium 10sses were recorded in the Mediterranean plain, while in north-western plain they reached about 10 kg-1 year-1. Maize was, on average, the crop with highest nutrient losses, while quality of the runoff water was more related to agricultural practices than to soil types

A retrospective analysis of the factors associated with surgical checklist compliance using data from a local health unit in Italy, 2018–2021

Rationale: Since its publication, the World Health Organization Surgical Safety Checklist (SSC) has been progressively adopted by healthcare providers around the world to monitor and safeguard the delivery of surgeries. In one Italian region's health system, the SSC and other two surgery‐specific checklists were supplemented by a document that records any non‐conformity (NC) arising from the safety checks. Aims and Objectives: In this study, we investigated the factors associated with NCs using data from a local health unit (LHU). The secondary aim of this study was to explore the potential impact of the coronavirus crisis on surgical checklist compliance. Methods: We used data on surgical activity from the Modena LHU between 2018and 2021 and the accompanying NC documents. The primary goal was to estimate the relative risk (RR) of NCs according to several factors, including checklist incompleteness and surgery class (elective, urgent or emergency), using Poisson regression. A similar analysis was performed separately for 2018–2019 and2020–2021 to assess the COVID‐19 potential impact. Results and Conclusions: Checklist compliance in the LHU was 95%, with the presence of NCs in about 7% of surgeries. The factors that increased the RR were incompleteness of the checklist (adjusted RR = 3.12; 95% confidence interval[CI] = 2.86–3.40), urgent surgeries (adjusted RR [aRR] = 1.59; 95% CI = 1.47–1.72),emergencies (aRR = 2.09; 95% CI = 1.15–3.79), and surgeries with more than four procedures (aRR = 1.64; 95% CI = 1.41–1.92). Most notably, the RR for incomplete checklists showed a negative association with NCs before the COVID‐19 outbreak but positive afterwards. Checklist compliance was overall satisfactory, though the observation of noncompliant checklists of about 1000 per year suggests there is stillroom for improvement. Moreover, attention to the checklist best practices and organization of outpatient workload may have been affected by the exceptional circumstances of the pandemic

The association between surgical complications and compliance to the World Health Organization Surgical Safety Checklist: A retrospective analysis of hospital records

Background The World Health Organization Surgical Safety Checklist (SSC), now used by healthcare providers worldwide, has proved to be useful in the improvement of patients' health through the reduction of mortality and morbidity after surgery. In the Emilia-Romagna region in Italy the SSC is accompanied by a document that registers any non-conformity (NC) identified during SSC completion. This study aimed to investigate the association between surgical complications and checklist compliance, in terms of incompleteness and presence of NCs, using data from the Modena Local Health Unit (LHU). Methods We used data from surgeries performed in the Modena LHU between 2018 and 2022, with their SSC and related NC document. We estimated relative risks (RRs) of complications fitting three modified Poisson regression models. Model 1 included checklist incompleteness and NC presence, Model 2 adjusted Model 1 for patients’ sex and age group, and Model 3 adjusted Model 2 for the other potential confounders. We also performed a sensitivity analysis estimating the same three models including death outcomes as complications. Results We found an increased risk of complications for both checklist incompleteness (unadjusted RR [uRR]= 2.04; 95% confidence interval [CI]: 1.17 to 3.54) and presence of NCs (uRR = 2.35; 95% CI: 1.71 to 3.22). Results were consistent after adjustment and in the sensitivity analysis. Conclusions Improving checklist compliance can reduce the risk of surgical complications. In particular, NCs are a risk factor that must be further investigated to better understand their relationship with complications. We believe that NCs data recording is helpful for both researchers in the scope of surgical complications, and healthcare professionals in the operating room

Myobolica: a stochastic approach to estimate physiological muscle control variability

: The inherent redundancy of the musculoskeletal systems is traditionally solved by optimizing a cost function. This approach may not be correct to model non-adult or pathological populations likely to adopt a "non-optimal" motor control strategy. Over the years, various methods have been developed to address this limitation, such as the stochastic approach. A well-known implementation of this approach, Metabolica, samples a wide number of plausible solutions instead of searching for a single one, leveraging Bayesian statistics and Markov Chain Monte Carlo algorithm, yet allowing muscles to abruptly change their activation levels. To overcome this and other limitations, we developed a new implementation of the stochastic approach (Myobolica), adding constraints and parameters to ensure the identification of physiological solutions. The aim of this study was to evaluate Myobolica, and quantify the differences in terms of width of the solution band (muscle control variability) compared to Metabolica. To this end, both muscle forces and knee joint force solutions bands estimated by the two approaches were compared to one another, and against (i) the solution identified by static optimization and (ii) experimentally measured knee joint forces. The use of Myobolica led to a marked narrowing of the solution band compared to Metabolica. Furthermore, the Myobolica solutions well correlated with the experimental data (R2 = 0.92, RMSE = 0.3 BW), but not as much with the optimal solution (R2 = 0.82, RMSE = 0.63 BW). Additional analyses are required to confirm the findings and further improve this implementation

Exploring muscle recruitment by Bayesian methods during motion

The human musculoskeletal system is characterized by redundancy in the sense that the number of muscles exceeds the number of degrees of freedom of the musculoskeletal system. In practice, this means that a given motor task can be performed by activating the muscles in infinitely many different ways. This redundancy is important for the functionality of the system under changing external or internal conditions, including different diseased states. A central problem in biomechanics is how, and based on which principles, the complex of central nervous system and musculoskeletal system selects the normal activation patterns, and how the patterns change under various abnormal conditions including neurodegenerative diseases and aging. This work lays the mathematical foundation for a formalism to address the question, based on Bayesian probabilistic modeling of the musculoskeletal system. Lagrangian dynamics is used to translate observations of the movement of a subject performing a task into a time series of equilibria which constitute the likelihood model. Different prior models corresponding to biologically motivated assumptions about the muscle dynamics and control are introduced. The posterior distributions of muscle activations are derived and explored by using Markov chain Monte Carlo (MCMC) sampling techniques. The different priors can be analyzed by comparing the model predictions with actual observations

First events from the CNGS neutrino beam detected in the OPERA experiment

The OPERA neutrino detector at the underground Gran Sasso Laboratory (LNGS) was designed to perform the first detection of neutrino oscillations in appearance mode, through the study of nu_mu to nu_tau oscillations. The apparatus consists of a lead/emulsion-film target complemented by electronic detectors. It is placed in the high-energy, long-baseline CERN to LNGS beam (CNGS) 730 km away from the neutrino source. In August 2006 a first run with CNGS neutrinos was successfully conducted. A first sample of neutrino events was collected, statistically consistent with the integrated beam intensity. After a brief description of the beam and of the various sub-detectors, we report on the achievement of this milestone, presenting the first data and some analysis results.Comment: Submitted to the New Journal of Physic

Emulsion sheet doublets as interface trackers for the OPERA experiment

New methods for efficient and unambiguous interconnection between electronic counters and target units based on nuclear photographic emulsion films have been developed. The application to the OPERA experiment, that aims at detecting oscillations between mu neutrino and tau neutrino in the CNGS neutrino beam, is reported in this paper. In order to reduce background due to latent tracks collected before installation in the detector, on-site large-scale treatments of the emulsions ("refreshing") have been applied. Changeable Sheet (CSd) packages, each made of a doublet of emulsion films, have been designed, assembled and coupled to the OPERA target units ("ECC bricks"). A device has been built to print X-ray spots for accurate interconnection both within the CSd and between the CSd and the related ECC brick. Sample emulsion films have been extensively scanned with state-of-the-art automated optical microscopes. Efficient track-matching and powerful background rejection have been achieved in tests with electronically tagged penetrating muons. Further improvement of in-doublet film alignment was obtained by matching the pattern of low-energy electron tracks. The commissioning of the overall OPERA alignment procedure is in progress.Comment: 19 pages, 19 figure

Placement and orientation of individual DNA shapes on lithographically patterned surfaces

Artificial DNA nanostructures show promise for the organization of functional materials to create nanoelectronic or nano-optical devices. DNA origami, in which a long single strand of DNA is folded into a shape using shorter 'staple strands', can display 6-nm-resolution patterns of binding sites, in principle allowing complex arrangements of carbon nanotubes, silicon nanowires, or quantum dots. However, DNA origami are synthesized in solution and uncontrolled deposition results in random arrangements; this makes it difficult to measure the properties of attached nanodevices or to integrate them with conventionally fabricated microcircuitry. Here we describe the use of electron-beam lithography and dry oxidative etching to create DNA origami-shaped binding sites on technologically useful materials, such as SiO_2 and diamond-like carbon. In buffer with ~ 100 mM MgCl_2, DNA origami bind with high selectivity and good orientation: 70–95% of sites have individual origami aligned with an angular dispersion (±1 s.d.) as low as ±10° (on diamond-like carbon) or ±20° (on SiO_2)

L'ampliamento per il Politecnico nella "Goccia"

LAUREA SPECIALISTIC

Validation of techniques to mitigate copper surface contamination in CUORE

In this article we describe the background challenges for the CUORE experiment posed by surface contamination of inert detector materials such as copper, and present three techniques explored to mitigate these backgrounds. Using data from a dedicated test apparatus constructed to validate and compare these techniques we demonstrate that copper surface contamination levels better than 10E-07 - 10E-08 Bq/cm2 are achieved for 238U and 232Th. If these levels are reproduced in the final CUORE apparatus the projected 90% C.L. upper limit on the number of background counts in the region of interest is 0.02-0.03 counts/keV/kg/y depending on the adopted mitigation technique.Comment: 10 pages, 6 figures, 6 table