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Biogenic volatile organic compounds (BVOCs) emitted from the natural ecosystem are highly reactive and can thus impact air quality and aerosol radiative forcing. BVOC emission models (e.g., Model of Emissions of Gases and Aerosols from Nature – MEGAN) in global and regional chemical transport models still have large uncertainties in estimating biogenic trace gases because of uncertainties in emission activity factors, specification of vegetation type, and plant emission factors. This study evaluates a set of updates made to MEGAN v2.04 in the Weather Research and Forecasting model coupled with chemistry (WRF-Chem version 3.9). Our study considers four simulations for each update made to MEGAN v2.04: (i) a control run with no changes to MEGAN, (ii) a simulation with the emission activity factors modified following MEGAN v2.10, (iii) a simulation considering the changes to the plant functional type (PFT) emission factor, and (iv) a simulation with the isoprene emission factor calculated within the MEGAN module instead of being prescribed by the input database. We evaluate two regions, Europe and the southeastern United States, by comparing WRF-Chem results to ground-based monitoring observations in Europe (i.e., AirBase database) and aircraft observations obtained during the NOMADSS field campaign. We find that the updates to MEGAN v2.04 in WRF-Chem caused overpredictions in ground-based ozone concentrations in Europe and in isoprene mixing ratios compared to aircraft observations in the southeastern US. The update in emission activity factors caused the largest biases. These results suggest that further experimental and modeling studies should be conducted to address potential shortcomings in BVOC emission models.

The progressive diffusion of dinoflagellates belonging to Alexandrium genus (A. catenella and A.minutun) and the contamination of the mussels used usually as food with marine toxins represents an high risk for the human health and for business mussels farms. In this study, the authors reported results of analysis during 2008 for detection P.S.P. (Paralytic Shellfish Poison) toxins in mussels bred in Olbia and Oristano areas and health precautions.

A total of 29 samples of snails belonging to the species Helix aspersa, Helix aperta and Helix vermiculata were analysed for the presence of Salmonella spp. and Clostridium perfringens; Cadmium and Lead concentrations were determined by ICP-MS. One sample contained Salmonella sp.; Clostridium perfringens were not detected. The means of toxic metals (expressed as mg/Kg wet weight) were the following: Cd 0,995, Pb 0,274. Key words

Sea urchin (Paracentrotus lividus) is an edible echinoderm very common in the Mediterranean sea. In the Sardinian gastronomic tradition it represents a product very used in some periods of the year, but in practice the sanitary controls by the competent authorities are very difficult. The Reg. (EC) n. 853/2004 provides that, as regards as the control on production, echinoderms are assimilable to live bivalve molluscs, with the exception of the provisions on purification. In this work a proposal for the sanitary management of the phases of gathering, transport and selling of the sea urchins has been studied.

Anisakidosis is a parasitic zoonosis caused by nematodes of the family Anisakidae, belonging to the genera Anisakis, Contracaecum and Pseudoterranova. Molecular studies have shown that Anisakis larvae comprise a number of sibling species, which have different genetic structures, hosts and geographical distribution. A great variety of fish species can harbour infectious third stage larvae of this nematode. The preliminary results of a study carried out to evaluate the occurrence of this parasite in commercial fish caught off northern Sardinia are herein reported. From October 2008 to November 2009, 599 specimens of 8 commercial fish species were examined for anisakid larvae through visual inspection of body cavity and peptic digestion of the muscle. Isolated Anisakis sp. larvae were observed at light microscope and identified as Type I or Type II (sensu Berland, 1961). Out of 599 fish examined, 239 (40%) were infected by 1187 anisakid larvae, belonging to the genera Anisakis (1169 Type I and 18 Type II) and Hysterothylacium (692). The molecular identification of Anisakis spp. was carried out on a subsample of 30% of Type I larvae and all Type II larvae. Specimens were firstly examined using a species-specific PCR, with primers designed for Anisakis pegreffii (APEF) and Anisakis physeteris (APHF), and ITS-2 of nuclear rDNA. The results were confirmed by the analysis of the ITS region of nuclear rDNA (ITS-1, 5.8S and ITS-2) using the restriction enzymes HinfI and HhaI in PCR-RFLP. Type I larvae examined were all identified as A. pegreffii, and Type II were all A. physeteris. This is the first contribution to the epidemiology and molecular characterization of Anisakis spp. in commercial fish caught off Sardinia.

Panada is a traditional food product of Monte Acuto area (Sardinia, Italy). It is made of an envelope of pasta filled with pork meat and fat and then thoroughly cooked. In this study a microbiological and sensorial characterization was carried out on Panada samples taken in 5 plants. In each plant from two batches were collected samples of raw and cooked products which were also analyzed after 7 and 30 days of storage. Further samples were packaged after cooking in modified atmosphere (MAP, N2 70% and CO2 30%) and analyzed after 30 days. The results of microbiological analysis of Panada cooked products showed scarce contaminations at very low level during storage and none of the pathogens were recovered from these samples. With respect to the sensorial analysis, the results showed that undesirable changes in the characteristics of the product were perceived after 7 days storage. Sensory evaluation showed that MAP packaged product did not retain better characteristics than control samples after 30 days of storage.

The authors report results of analysis carried out during 2008-2010 for identification and molecular characterization of larval Anisakis nematodes isolated from fishes of the northern Sardinian sea.

The authors report results of analysis carried out during 2009-2010 for detection of P.S.P. toxins in mussels bred in Sardinia areas and management non-compliance.

Predicting the responses of sensory neurons is a long-standing neuroscience goal. However, while there has been much progress in modeling neural responses to simple and/or artificial stimuli, predicting responses to natural stimuli remains an ongoing challenge. On the one hand, deep neural networks perform very well on certain datasets but can fail when data are limited. On the other hand, Gaussian processes (GPs) perform well on limited data but are poor at predicting responses to high-dimensional stimuli, such as natural images. Here, we show how structured priors, e.g., for local and smooth receptive fields, can be used to scale up GPs to model neural responses to high-dimensional stimuli. With this addition, GPs largely outperform a deep neural network trained to predict retinal responses to natural images, with the largest differences observed when both models are trained on a small dataset. Further, since they allow us to quantify the uncertainty in their predictions, GPs are well suited to closed-loop experiments, where stimuli are chosen actively so as to collect "informative" neural data. We show how GPs can be used to actively select which stimuli to present, so as to i) efficiently learn a model of retinal responses to natural images, using few data, and ii) rapidly distinguish between competing models (e.g., a linear vs. a nonlinear model). In the future, our approach could be applied to other sensory areas, beyond the retina.

A sequence of dust intrusions occurred from the Sahara Desert to the central Mediterranean in the second half of June 2021. This event was simulated by means of the Weather Research and Forecasting coupled with chemistry (WRF-Chem) regional chemical transport model (CTM). The population exposure to the dust surface PM2.5 was evaluated with the open-source quantum geographical information system (QGIS) by combining the output of the CTM with the resident population map of Italy. WRF-Chem analyses were compared with spaceborne aerosol observations derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) and, for the PM2.5 surface dust concentration, with the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis. Considering the full-period (17-24 June) and area-averaged statistics, the WRF-Chem simulations showed a general underestimation for both the aerosol optical depth (AOD) and the PM2.5 surface dust concentration. The comparison of exposure classes calculated for Italy and its macro-regions showed that the dust sequence exposure varies with the location and entity of the resident population amount. The lowest exposure class (up to 5 µg m -3 ) had the highest percentage (38%) of the population of Italy and most of the population of north Italy, whereas more than a half of the population of central, south and insular Italy had been exposed to dust PM2.5 in the range of 15-25 µg m -3 . The coupling of the WRF-Chem model with QGIS is a promising tool for the management of risks posed by extreme pollution and/or severe meteorological events. Specifically, the present methodology can also be applied for operational dust forecasting purposes, to deliver safety alarm messages to areas with the most exposed population.

Retina ganglion cells extract specific features from natural scenes and send this information to the brain. In particular, they respond to local light increase (ON responses), and/or decrease (OFF). However, it is unclear if this ON-OFF selectivity, characterized with synthetic stimuli, is maintained under natural scene stimulation. Here we recorded ganglion cell responses to natural images slightly perturbed by random noise patterns to determine their selectivity during natural stimulation. The ON-OFF selectivity strongly depended on the specific image. A single ganglion cell can signal luminance increase for one image, and luminance decrease for another. Modeling and experiments showed that this resulted from the non-linear combination of different retinal pathways. Despite the versatility of the ON-OFF selectivity, a systematic analysis demonstrated that contrast was reliably encoded in these responses. Our perturbative approach uncovered the selectivity of retinal ganglion cells to more complex features than initially thought., (© 2022. The Author(s).)

The statistical correlation between meteorological parameters and the spread of Coronavirus Disease-2019 (COVID-19) was investigated in five provinces of Italy selected according to the number of infected individuals and the different trends of infection in the early stages of the epidemic: Bergamo and Brescia showed some of the highest trends of infections while nearby Cremona and Mantova, showed lower trends. Pesaro-Urbino province was included for further investigation as it was comparably affected by the epidemic despite being the area far from the Po valley. Moving means of the variables were considered to take into account the variability of incubation periods and uncertainties in the epidemiological data. The same analyzes were performed normalizing the number of new daily cases based on the number of checks performed. For each province, the moving mean of adjusted and unadjusted new daily cases were independently plotted versus each meteorological parameter, and linear regressions were determined in the period from 29th of February 2020 to 29th of March 2020. Strong positive correlations were observed between new cases and temperatures within three provinces representing 86.5% of the contagions. Strong negative correlations were observed between the moving means of new cases and relative humidity values for four provinces and more than 90% of the contagions.

Two-electron reduction of quinones catalyzed by NAD(P)H:quinone oxidoreductase (NQO1) protects cells against oxidative stress and toxic quinones. In fact, low level of NQO1 activity is often associated with increased risk of developing different types of tumours and with toxic effects linked to environmental quinones. In a previous report we analyzed the relationship between the oxidative stress induced by UV radiation and CoQ10 content in Burkitt's lymphoma cell lines compared to HL-60. The basal content of CoQ10 in Raji cells was slightly higher compared to HL-60. Moreover, after irradiation or ubiquinone supplementation in the medium, reduced CoQ10 levels were higher in Raji and Daudi cells compared to HL-60. In the present work, in order to inquire if NQO1 plays a role in the CoQ reducing capacity observed in the lymphoblastoid cell lines, we analyzed the transcription and translation products of this gene in Raji and Daudi cells, compared to cell lines possessing low and high NQO1 activity. The amount of transcripts of this gene in lymphoblastoid cells was comparable to that observed in HL-60 cells (low activity), as well as the level of two alternatively spliced mRNAs; one of which is described for the first time in this work. From the genotype analysis of polymorphisms C609T and C465T we observed that HL-60, Raji and Daudi cells were all heterozygous. Furthermore, NQO1 enzyme activity and protein synthesis in the cytosol of Raji and Daudi cells were undetectable. Therefore in Burkitt's lymphoma cell lines the NQO1 gene is not efficiently translated and this effect is not related to (C609T) polymorphism. Further studies will be necessary to find the enzyme responsible for CoQ10 reducing activity observed in lymphoma cell lines. On the other hand, this result suggests a careful re-evaluation of data concerning loss of NQO1 activity and polymorphisms in tumour cells.

The activity of tissue transglutaminase is present in many cells and tissues but almost absent in leucocytes and lymphocytes. The present work describes the distribution of 5-methylcytosine along the bisulphite-converted promoter of the human tissue transglutaminase gene as being in an essentially repressed state. In this promoter, the chain-specific sequencing revealed the location of three CpG-rich domains whose methylation responds to an 'all or nothing' signal. While the CpGs of domain 1, at the 5'-end, and 2, in the mid-promoter, were fully methylated, those of domain 3, at the 3'-end, were fully unmethylated. Before the 5'-UTR sequence, from site+1 to site+67, also unmethylated, there was thus a striking contrast in the post-synthetic modification between the sequence, from -1594 to -436, containing domains 1 and 2, and the sequence, from -435 to -1, containing domain 3 with the core promoter.