GPS time series at Campi Flegrei caldera (2000-2013)

The Campi Flegrei caldera is an active volcanic system associated to a high volcanic risk, and represents a well known and peculiar example of ground deformations (bradyseism), characterized by intense uplift periods, followed by subsidence phases with some episodic superimposed mini-uplifts. Ground deformation is an important volcanic precursor, and, its continuous monitoring, is one of the main tool for short time forecast of eruptive activity. This paper provides an overview of the continuous GPS monitoring of the Campi Flegrei caldera from January 2000 to July 2013, including network operations, data recording and processing, and data products. In this period the GPS time series allowed continuous and accurate tracking of ground deformation of the area. Seven main uplift episodes were detected, and during each uplift period, the recurrent horizontal displacement pattern, radial from the “caldera center”, suggests no significant change in deformation source geometry and location occurs. The complete archive of GPS time series at Campi Flegrei area is reported in the Supplementary materials. These data can be usefull for the scientific community in improving the research on Campi Flegrei caldera dynamic and hazard assessment

Constraining the redshift evolution of the Cosmic Microwave Background black-body temperature with PLANCK data

We constrain the deviation of adiabatic evolution of the Universe using the data on the Cosmic Microwave Background (CMB) temperature anisotropies measured by the {\it Planck} satellite and a sample of 481 X-ray selected clusters with spectroscopically measured redshifts. To avoid antenna beam effects, we bring all the maps to the same resolution. We use a CMB template to subtract the cosmological signal while preserving the Thermal Sunyaev-Zeldovich (TSZ) anisotropies; next, we remove galactic foreground emissions around each cluster and we mask out all known point sources. If the CMB black-body temperature scales with redshift as $T(z)=T_0(1+z)^{1-\alpha}$, we constrain deviations of adiabatic evolution to be $\alpha=-0.007\pm 0.013$, consistent with the temperature-redshift relation of the standard cosmological model. This result could suffer from a potential bias $\delta\alpha$ associated with the CMB template, that we quantify it to be $|\delta\alpha|\le 0.02$ and with the same sign than the measured value of $\alpha$, but is free from those biases associated with using TSZ selected clusters; it represents the best constraint to date of the temperature-redshift relation of the Big-Bang model using only CMB data, confirming previous results.Comment: ApJ, in press. Manuscript matches the accepted version: 10 pages, 7 figures, 3 table

The Cerebellar Fastigial Nucleus Contributes to CO\u3csub\u3e2\u3c/sub\u3e-H\u3csup\u3e+\u3c/sup\u3e Ventilatory Sensitivity in Awake Goats

The purpose of this study was to test the hypothesis that an intact cerebellar fastigial nucleus (CFN) is an important determinant of CO2-H+ sensitivity during wakefulness. Bilateral, stainless steel microtubules were implanted into the CFN (N = 9) for injection (0.5–10 μl) of the neurotoxin ibotenic acid. Two or more weeks after implantation of the microtubules, eupneic breathing and CO2-H+ sensitivity did not differ significantly (P \u3e 0.10) from pre-implantation conditions. Injection of ibotenic acid (50 mM) did not significantly alter eupneic PaCO2 (P \u3e 0.10). The coefficient of variation of eupneic PaCO2 was 4.0 ± 0.6 and 3.7 ± 0.4% over the 2 weeks before and after the lesion, respectively. CO2-H+ sensitivity expressed as inspired ventilation/PaCO2 decreased from 2.15 ± 0.17 pre-lesion to 1.58 ± 0.26 l/(min mmHg) 3–6 days post-lesion (P \u3c 0.02, −27%). There was no significant (P \u3e 0.10) recovery of sensitivity between 7 and 10 days post-lesion. The lesion also increased (P \u3c 0.05) the day-to-day variability of this index by nearly 100%. When CO2 sensitivity was expressed as elevated inspired CO2/room air VI, values at 7%, but not 3 and 5% inspired CO2, were reduced and more variable (P \u3c 0.05) after the ibotenic acid injections. We conclude that during wakefulness, the CFN contributes relatively more to overall ventilatory drive at high relative to low levels of hypercapnia

On Gram-positive-and Gram-negative-bacteria-associated canine and feline skin infections: a 4-year retrospective study of the university veterinary microbiology diagnostic laboratory of Naples, Italy

A 4-year retrospective study (2016–2019) of selected routine bacteriological examinations of the veterinary microbiology laboratory of the University Veterinary Teaching Hospital of Naples (Italy) was carried out. A total of 189 bacteriological samples were collected from 171 dogs and 18 cats suffering from skin infections. In dogs, the most common cutaneous infection was otitis externa, while pyoderma was found to be prevalent in cats. The number of recorded Gram-positive strains over the study period did not vary considerably from year to year and was always significantly higher (p-value = 0.0007) in comparison with Gram-negative bacterial isolations. In dogs, Staphylococcus pseudintermedius was the most common identified Gram-positive bacterium (65%), while Pseudomonas aeruginosa (36%) was the one among the isolated Gram-negative bacteria. In cats, coagulase-negative staphylococci were the most predominant isolated bacteria (47%). The phenotypic profiles of antibiotic resistance showed that most of the strains were resistant to amoxicillin–clavulanate, penicillin, clindamycin, and trimethoprim–sulfamethoxazole. Several multi-drug-resistant strains (35%) were detected in canine isolates. An updating of antibiotic resistance profiles of the main Gram-positive and Gram-negative bacteria principally associated with skin infections of pet animals is necessary to improve stewardship programs of veterinary hospitals and clinics

Paediatric ambulatory care sensitive hospitalisation and Italian deprivation index. Retrospective multilevel analysis of administrative data from 2008 to 2018 in the Abruzzo Region (Southern Italy)

OBJECTIVES: to estimate and analyse the trend of paediatric hospitalisations for Ambulatory Care Sensitive Conditions (ACSCs) from 2008 to 2018 in a region of southern Italy and to assess the association with the socio-economic deprivation index (DI). DESIGN: retrospective observational study. SETTING AND PARTICIPANTS: ACSC hospitalisations in children (<=18 years) were identified. Discharges for ACSC of the Abruzzo Region from 2008 to 2018 were selected and the deprivation index of the municipality of residence was assigned to the hospital discharge record where the patient's residence was reported. MAIN OUTCOME MEASURES: the rate of paediatric preventable admissions (PPHs) related to ACSC, standardized by age and gender with the direct method, was calculated for the years of observation. The average annual percentage change (AAPC) was calculated with a trend analysis. In addition, the odds ratios (ORs) of hospitalisation for ACSC were calculated using a hierarchical logistic regression model. RESULTS: 252,513 hospitalisations were examined, of which 16,264 (6.4%) attributable to ACSC. During the study period, the hospitalisation rate decreased from 8.59 per 1,000 to 6.12 per 1,000 residents, with an AAPC of -3.7, which was statistically significant (p<0.05). Furthermore, an association was highlighted between hospitalisations related to ACSC and the deprivation of the municipality of residence. Using as a comparison people residing in the municipalities belonging to the first quintile, the least deprived, the strength of the association between PPHs and DI increased from the third quintile (OR 1.13; CI95% 1.02-1.24) up to the fifth quintile, most deprived (OR 1.14; CI95% 1.01-1.30). CONCLUSIONS: paediatric patients residing in Abruzzo have a risk of undergoing a preventable hospitalisation associated with an ACSC which depends on the deprivation index of the municipality of residence. Although it is difficult to evaluate the mechanisms involved in the relationship between economic deprivation and hospitalisation, DI can be useful to identify the areas which are most at risk on which to prioritize public health interventions

A novel methodology to estimate metabolic flux distributions in constraint-based models

Quite generally, constraint-based metabolic flux analysis describes the space of viable flux configurations for a metabolic network as a high-dimensional polytope defined by the linear constraints that enforce the balancing of production and consumption fluxes for each chemical species in the system. In some cases, the complexity of the solution space can be reduced by performing an additional optimization, while in other cases, knowing the range of variability of fluxes over the polytope provides a sufficient characterization of the allowed configurations. There are cases, however, in which the thorough information encoded in the individual distributions of viable fluxes over the polytope is required. Obtaining such distributions is known to be a highly challenging computational task when the dimensionality of the polytope is sufficiently large, and the problem of developing cost-effective ad hoc algorithms has recently seen a major surge of interest. Here, we propose a method that allows us to perform the required computation heuristically in a time scaling linearly with the number of reactions in the network, overcoming some limitations of similar techniques employed in recent years. As a case study, we apply it to the analysis of the human red blood cell metabolic network, whose solution space can be sampled by different exact techniques, like Hit-and-Run Monte Carlo (scaling roughly like the third power of the system size). Remarkably accurate estimates for the true distributions of viable reaction fluxes are obtained, suggesting that, although further improvements are desirable, our method enhances our ability to analyze the space of allowed configurations for large biochemical reaction networks. © 2013 by the authors; licensee MDPI, Basel, Switzerland

Campi Flegrei volcanic surveillance by thermal IR continuous monitoring

Solfatara and Pisciarelli areas are the most impressive example of hydrothermal activity at Campi Flegrei caldera (Southern Italy). In these areas INGV-Osservatorio Vesuviano has been handling since 2004 a surveillance network for continuous, long-term volcanological monitoring of fumaroles fields by using thermal IR acquisition stations. In this paper different methodologies of analysis applied to time series of IR scenes are introduced and discussed. In spite of substantially different approaches to data analysis, the results of these methodologies agree with ground deformation data of the same area and likely are a useful tool for volcano monitoring and long-term risk definition

Analysis of temperature time series from thermal IR continuous monitoring network (TIIMNet) at Campi Flegrei Caldera in the period 2004-2011

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The Sky Arrow ERA, an innovative airborne platform to monitor mass, momentum and energy exchange of ecosystems

Substantial worldwide efforts are underway aimed at identifying the spatial and temporal distribution of the global sources and sinks of atmospheric carbon dioxide (CO2). The sink/source strength of vegetated surfaces at ground sites can now be estimated with reasonable accuracy and micrometeorological techniques are now well established, while difficulties exist in up scaling these figures to the regional and global scales. Airborne measurement of mass, momentum, and energy fluxes for boundary layer research has been available for decades requiring the use of large aircraft to carry instruments and dedicated support facilities. The advent of compact, lowpower instruments and high speed, high-capacity digital data acquisition systems has recently allowed small research aircraft to perform such measurements with high accuracy. This paper first describes the Sky Arrow ERA (Environmental Research Aircraft), a small research aircraft that has been recently developed in Italy, in the frame of an international scientific collaboration. This aircraft can be operated to measure fluxes of mass, momentum and energy while flying at low altitude and reduced ground speed. The fluxes are computed with the airborne eddy correlation technique. The basic theory at the basis of the flux measurement technique is also described in the paper, and two application examples are discussed to illustrate the quality and the accuracy of the measurements that can be made using this research platform. Potential applications of those data to parametrize land surface schemes, validate simulation models and provide extensive and reliable ground truthing for satellite remote sensing applications are highlighted

Campi Flegrei volcanic surveillance by thermal IR continuous monitoring

Solfatara and Pisciarelli areas are the most impressive example of hydrothermal activity at Campi Flegrei caldera (Southern Italy). In these areas INGV-Osservatorio Vesuviano has been handling since 2004 a surveillance network for continuous, long-term volcanological monitoring of fumaroles fields by using thermal IR acquisition stations. In this paper different methodologies of analysis applied to time series of IR scenes are introduced and discussed. In spite of substantially different approaches to data analysis, the results of these methodologies agree with ground deformation data of the same area and likely are a useful tool for volcano monitoring and long-term risk definition