722 research outputs found

    VISION: VIdeo StabilisatION using automatic features selection for image velocimetry analysis in rivers

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    VISION is open-source software written in MATLAB for video stabilisation using automatic features detection. It can be applied for any use, but it has been developed mainly for image velocimetry applications in rivers. It includes a number of options that can be set depending on the user’s needs and intended application: 1) selection of different feature detection algorithms (seven to be selected with the flexibility to choose two simultaneously), 2) definition of the percentual value of the strongest features detected to be considered for stabilisation, 3) geometric transformation type, 4) definition of a region of interest on which the analysis can be performed, and 5) visualisation in real-time of stabilised frames. One case study was deemed to illustrate VISION stabilisation capabilities on an image velocimetry experiment. In particular, the stabilisation impact was quantified in terms of velocity errors with respect to field measurements obtaining a significant error reduction of velocities. VISION is an easy-to-use software that may support research operating in image processing, but it can also be adopted for educational purposes

    Can platelet-rich plasma be an alternative to surgery for resistant chronic patellar tendinopathy in sportive people? Poor clinical results at 1-year follow-up

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    Introduction and purpose: Patellar tendinopathy is a disease affecting particularly athletes. Platelet-rich plasma (PRP) injections have gained increasing interest for their potential benefits. Anyway, a tendon disease longer than 6 months should be considered as an indication for surgery. The aim of our study was to evaluate the efficacy of PRP in athletes with a severe chronic patellar tendinopathy longer than 6 months when surgery should be chosen. Methods: We enrolled 17 sport practitioners (19 patellar tendons) who did not want to undergo surgery and who are nonresponders to other conservative treatments. We treated them with PRP and calculated the results using the visual analog scale (VAS), the Victorian Institute of Sport Assessment-Patellar (VISA-P) score, and Tegner Activity Scale. Every test has been conducted at T0, T1 (4 months), and T2 (12 months). Results: We found a poor improvement at T1 and a clinical worsening at T2 through VAS. VISA-P showed a medium improvement both at T1 and T2. Tegner scale did not show improvements. Conclusions: Our study was not able to remove the doubts about the benefits of PRP in patellar tendinopathy, confirming ambiguous certainties. Further investigations are needed to assess its effectiveness

    effects of dietary vitamin e on the quality of table eggs enriched with n 3 long chain fatty acids

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    Abstract Because of the proposed cardioprotective benefits of n-3 fatty acids and vitamin E, a trial was carried out to investigate the possibility of enriching eggs with n-3 fatty acid and vitamin E added to the hen's diet. One hundred ninety-two Hy-Line Brown hens, 39-wk-old, were divided into eight groups: four groups received the basal diet supplemented with 3% lard and four doses of dl-alpha-tocopheryl acetate (0, 50, 100, and 200 ppm), whereas the diets of the other groups were supplemented with 3% of fish oil and the same doses of vitamin E. The performances of the hens and egg weights were not affected either by the type of lipid supplement or by the vitamin level. The treatment with fish oil caused a dramatic increase (

    Modified-atmosphere packaging of hen table eggs: Effects on pathogen and spoilage bacteria

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    Abstract As part of a more comprehensive research activity on the use of modified-atmosphere packaging for the improvement of quality and functional properties of table eggs, the effects of air, 100% CO2, and 100% O2 packaging were also evaluated on the survival of experimentally inoculated pathogen bacteria (Salmonella Enteritidis, Escherichia coli, and Listeria monocytogenes) as well as on spoilage bacteria (total aerobic mesophilic bacteria) on table eggs during 30 d of storage at 4, 25, and 37°C by colony count method. In general, temperatures played a major role, rather than gasses, in influencing the bacterial survival. In particular, the lowest microbial loads were registered at 4°C on E. coli and spoilage bacteria, whereas 37°C was the best storage temperature to avoid the psychrotropic microorganism L. monocytogenes development regardless of the gas used. One hundred percent CO2 packaging, in association with a low storage temperature (4°C), had a significant positive effect in reducing Salmonella loads. On eggs inoculated with L. monocytogenes and stored at 4°C as well as on eggs containing only spoilage bacteria and stored at 25°C, 100% CO2 resulted the best gas in comparison with air and O2. One hundred percent CO2 packaging showed no negative effect on pathogen survival compared with air. Although further improvements are required to control RH within packaging to limit bacteria growth/survival, in view of the positive effects of CO2 packaging on quality traits of table eggs, 100% CO2 packaging might represent a promising innovative technique for the maintenance of egg characteristics during transport, retail, and domestic storage

    A physically based approach for the estimation of root-zone soil moisture from surface measurements

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    Abstract. In the present work, we developed a new formulation for the estimation of the soil moisture in the root zone based on the measured value of soil moisture at the surface. It was derived from a simplified soil water balance equation for semiarid environments that provides a closed form of the relationship between the root zone and the surface soil moisture with a limited number of physically consistent parameters. The method sheds lights on the mentioned relationship with possible applications in the use of satellite remote sensing retrievals of soil moisture. The proposed approach was used on soil moisture measurements taken from the African Monsoon Multidisciplinary Analysis (AMMA) and the Soil Climate Analysis Network (SCAN) databases. The AMMA network was designed with the aim to monitor three so-called mesoscale sites (super sites) located in Benin, Mali, and Niger using point measurements at different locations. Thereafter the new formulation was tested on three additional stations of SCAN in the state of New Mexico (US). Both databases are ideal for the application of such method, because they provide a good description of the soil moisture dynamics at the surface and the root zone using probes installed at different depths. The model was first applied with parameters assigned based on the physical characteristics of several sites. These results highlighted the potential of the methodology, providing a good description of the root-zone soil moisture. In the second part of the paper, the model performances were compared with those of the well-known exponential filter. Results show that this new approach provides good performances after calibration with a set of parameters consistent with the physical characteristics of the investigated areas. The limited number of parameters and their physical interpretation makes the procedure appealing for further applications to other regions

    Identifying the optimal spatial distribution of tracers for optical sensing of stream surface flow

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    River monitoring is of particular interest as a society that faces increasingly complex water management issues. Emerging technologies have contributed to opening new avenues for improving our monitoring capabilities but have also generated new challenges for the harmonised use of devices and algorithms. In this context, optical-sensing techniques for stream surface flow velocities are strongly influenced by tracer characteristics such as seeding density and their spatial distribution. Therefore, a principal research goal is the identification of how these properties affect the accuracy of such methods. To this aim, numerical simulations were performed to consider different levels of tracer clustering, particle colour (in terms of greyscale intensity), seeding density, and background noise. Two widely used image-velocimetry algorithms were adopted: (i) particle-tracking velocimetry (PTV) and (ii) particle image velocimetry (PIV). A descriptor of the seeding characteristics (based on seeding density and tracer clustering) was introduced based on a newly developed metric called the Seeding Distribution Index (SDI). This index can be approximated and used in practice as SDI = nu(0.1)/(rho/rho(c nu 1)), where nu, rho, and rho(c nu 1 )are the spatial-clustering level, the seeding density, and the reference seeding density at nu = 1, respectively. A reduction in image-velocimetry errors was systematically observed for lower values of the SDI; therefore, the optimal frame window (i.e. a subset of the video image sequence) was defined as the one that minimises the SDI. In addition to numerical analyses, a field case study on the Basento river (located in southern Italy) was considered as a proof of concept of the proposed framework. Field results corroborated numerical findings, and error reductions of about 15.9 % and 16.1 % were calculated - using PTV and PIV, respectively - by employing the optimal frame window

    Investigation on the microbiological hazards in an artisanal salami produced in Northern Italy and its production environment in different seasonal periods

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    In the present study, the occurrence of Listeria monocytogenes, Staphylococcus aureus, Salmonella spp. and Escherichia coli VTEC was investigated in two batches of artisanal Italian salami tested in winter and summer. Moreover, enumerations of total bacterial count, lactic acid bacteria and Enterobacteriaceae were performed as well as monitoring of water activity and pH. Samples were taken from raw materials, production process environment, semi-finished product and finished products. The results revealed an overall increase of total bacterial count and lactic acid bacteria during the ripening period, along with a decrease of Enterobacteriaceae, pH and water activity. No significant difference was observed between the two batches. The enterobacterial load appeared to decrease during the maturation period mainly due to a decrease in pH and water activity below the limits that allow the growth of these bacteria. E. coli VTEC, Salmonella spp. or L. monocytogenes were not detected in both winter and summer batches. However, Klebsiella pneumoniae was detected in both summer and winter products. Except for one isolate, no biological hazards were detected in the finished salami, proving the efficacy of the ripening period in controlling the occurrence of microbiological hazard in ripened salami. Further studies are required to assess the virulence potential of the Klebsiella pneumoniae isolates

    The resistome of commensal Escherichia coli isolated from broiler carcasses “produced without the use of antibiotics” -

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    Several strategies have been in place in food animal production to reduce the unnecessary use of antimicrobial agents. Beyond the monitoring of their use, the evaluation of the effect of these strategies on the occurrence and types of antimicrobial resistance (AMR) associated genes is crucial to untangle the potential emergence and spread of AMR to humans through the food chain. In the present study, the occurrence of these genes was evaluated in commensal Escherichia coli isolated from broiler carcasses “produced without the use of antibiotics” in three antibiotic-free (AB-free) farms in Italy in 2019. Sequenced data were analyzed along with publicly available genomes of E. coli collected in Italy from the broiler food chain from previous years (2017 to 2018). The genetic relationships among all 93 genomes were assessed on de novo assemblies by in silico MLST and SNP calling. Moreover, the resistomes of all genomes were investigated. According to SNP calling, genomes were gathered in three clades. Clade A encompassed, among others, ST117, ST8070 and ST1011 genomes. ST10 belonged to clade B, whereas Clade C included ST58, ST297, ST1101 and ST23 among others. Regarding the occurrence of AMR genes, a statistically significant lower occurrence of these genes in the genomes of this study in comparison to the public genomes was observed considering the whole group of genes as well as genes specifically conferring resistance to aminoglycosides, ÎČ-lactams, phenicols, trimethoprim and lincosamides. Moreover, significant reductions were observed by comparing the whole group of AMR associated mutations, as well as those specifically for fluoroquinolones and fosfomycin resistance. Although the identification of 3° generation cephalosporin resistance associated genes in AB-free E. coli is a concern, this study provides a first indication of the impact of a more prudent use of antimicrobial agents on the occurrence of AMR genes in Italian broiler production chain. More studies are needed in next years on a higher number of genomes to confirm this preliminary observation

    Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI

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    [EN] Ecohydrological modeling studies in developing countries, such as sub-Saharan Africa, often face the problem of extensive parametrical requirements and limited available data. Satellite remote sensing data may be able to fill this gap, but require novel methodologies to exploit their spatiotemporal information that could potentially be incorporated into model calibration and validation frameworks. The present study tackles this problem by suggesting an automatic calibration procedure, based on the empirical orthogonal function, for distributed ecohydrological daily models. The procedure is tested with the support of remote sensing data in a data-scarce environment-the upper Ewaso Ngiro river basin in Kenya. In the present application, the TETIS-VEG model is calibrated using only NDVI (Normalized Difference Vegetation Index) data derived from MODIS. The results demonstrate that (1) satellite data of vegetation dynamics can be used to calibrate and validate ecohydrological models in water-controlled and datascarce regions, (2) the model calibrated using only satellite data is able to reproduce both the spatio-temporal vegetation dynamics and the observed discharge at the outlet and (3) the proposed automatic calibration methodology works satisfactorily and it allows for a straightforward incorporation of spatio-temporal data into the calibration and validation framework of a model.The research leading to these results has received funding from the Spanish Ministry of Economy and Competitiveness and FEDER funds, through the research projects ECOTETIS (CGL2011-28776-C02-014) and TETISMED (CGL2014-58127-C3-3-R). The collaboration between Universitat Politecnica de Valencia, Universita degli studi della Basilicata and Princeton University was funded by the Spanish Ministry of Economy and Competitiveness through the EEBB-I-15-10262 fellowship.Ruiz Perez, G.; Koch, J.; Manfreda, S.; Caylor, KK.; FrancĂ©s, F. (2017). Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI. HYDROLOGY AND EARTH SYSTEM SCIENCES. 21(12):6235-6251. https://doi.org/10.5194/hess-21-6235-2017S623562512112Allen, R. G., Pruitt, W. O., Wright, J. L., Howell, T. A., Ventura, F., Snyder, R., Itenfisu, D., Steduto, P., Berengena, J., Yrisarry, J. B., Smith, M., Pereira, L. S., Raes, D., Perrier, A., Alves, I., Walter, I., Elliott, R.: A recommendation on standardized surface resistance for hourly calculation of reference ET0 by the FAO56 Penman-Monteith method, Agr. 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