525 research outputs found

    Nuclear Parton Distributions at the future Electron-Ion Collider

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    The 2015 nuclear physics long-range plan endorsed the realization of an Electron-Ion Collider (EIC) as the next large construction project after the completion of FRIB. With its high luminosity ( >1033cm−2s−1> 10^{33} cm^{-2}s^{-1}), wide kinematic reach in center-of-mass-energy (45GeV to 145GeV) and high lepton and proton beam polarization, an EIC provides an unprecedented opportunity to reach new frontiers in our understanding of the spin and dynamic structure of nuclei. Despite of the success of the HERA collider in investigating the structure of a single nucleon, the partonic structure of nuclei at moderate-to-small Bjorken's xx still remains elusive. We present the evaluated impact of an EIC in extracting the nuclear structure-functions from measurements of the reduced cross section in deep inelastic scattering, including also the case of measuring heavy quark production events. The potential constraints offered by the EIC data in extracting the nuclear parton distribution functions is also discussed.Comment: 5 pages, 4 figures, DIS 2017 Conference proceeding

    Cardiorenal syndrome: the role of new biochemical markers

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    Cardiorenal syndrome is a pathophysiological heart and kidney disorder, in which acute or chronic dysfunction of one organ induces a damage in the other. It's a syndrome more and more often encountered in clinical practice and this implies the need to recognize the syndrome through biochemical markers with a good sensitivity and specificity, since its earliest stages in order to optimize therapy. In addition to widely validated biomarkers, such as BNP, pro BNP, creatinine, GFR and cystatin C, other promising molecules are available, like NGAL (neutrophil gelatinase-associated lipocalin, KIM-1 (kidney injury molecule-1), MCP-1 (monocyte chemotactic peptide), Netrin-1, interleuchin 18 and NAG (N-acetyl-β-glucosa-minidase). The role of these emerging biomarkers is still not completely clarified: hence the need of new clinical trials

    Improving building energy modelling by applying advanced 3D surveying techniques on agri-food facilities

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    Food industry is the production sector with the highest energy consumption. In Europe, the energy used to produce food accounts for 26% of total energy consumption. Over 28% is used in industrial processes. Recently, European food companies have increased their efforts to make their production processes more sustainable, also by giving preference to the use of renewable energy sources. In Italy, the total energy consumption in agriculture and food sectors decreased between 2013 and 2014, passing from 16.79 to 13.3 Mtep. Since energy consumption in food industry is nearly twice the one in agriculture (8.57 and 4.73 Mtep, respectively), it is very important to improve energy efficiency and use green technologies in all the phases of food processing and conservation. In Italy, a recent law (Legislative Decree 102, 04/07/2014) has made energy-use diagnosis compulsory for all industrial concerns, particularly for those showing high consumption levels. In the case of food industry buildings, energy is mainly used for indoor microclimate control, which is needed to ensure workers' wellbeing and the most favourable conditions for food processing and conservation. To this end, it is important to have tools and methods allowing for easy, rapid and precise energy performance assessment of agri-food buildings. The accuracy of the results obtainable from the currently available computational models depends on the grade of detail and information used in constructional and geometric modelling. Moreover, this phase is probably the most critical and time-consuming in the energy diagnosis. In this context, fine surveying and advanced 3D geometric modelling procedures can facilitate building modelling and allow technicians and professionals in the agri-food sector to use highly efficient and accurate energy analysis and evaluation models. This paper proposes a dedicated model for energy performance assessment in agri-food buildings. It also shows that using advanced surveying techniques, such as a terrestrial laser scanner and an infrared camera, it is possible to create a three-dimensional parametric model, while, thanks to the heat flow meter Accepted paper measurement method, it is also possible to obtain a thermophysical model. This model allows assessing the energy performance of agri-food buildings in order to improve the indoor microclimate control and the conditions of food processing and conservation


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    Recently, the International Society for Precision Agriculture (ISPA) defined Precision Agriculture (PA) as ‘a management strategy that gathers, processes and analyses temporal, spatial and individual data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of agricultural production’. In the framework of PA the present paper shows a specific case study applied to the red onion of Tropea (Cipolla Rossa di Tropea) crop. The aim was the monitoring of fields using multispectral imagery acquired by a fixed-wings UAV, and through the use of different vegetation indexes. Multitemporal surveys were carried out using the eBee fixed-wing UAV, equipped with a multispectral camera Sequoia Parrot (R-G-RedEdge-NIR). UAV MS imagery were calibrated using a panel with known reflectance and verified with spectroradiometer measurements using the Apogee Ps-300 on bare soil and vegetation. The UAV monitoring has been implemented on three surveys carried out from November 2018 to January 2019. The results of the analysis of the three datasets showed a high correlation of GNDVI and NDVI vegetation indexes with SAVI. Therefore, the latter was chosen to analyse the vegetative vigour by applying the VI to onion crop’s masks extracted after segmentation and classification of the three images by a geographical object-based image classification (GEOBIA). The obtained results are promising although additional experiments are expected

    Self-assembly of silver nanoparticles and bacteriophage

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    Biohybrid nanostructured materials, composed of both inorganic nanoparticles and biomolecules, offer prospects for many new applications in extremely diverse fields such as chemistry, physics, engineering, medicine and nanobiotechnology. In the recent years, Phage display technique has been extensively used to generate phage clones displaying surface peptides with functionality towards organic materials. Screening and selection of phage displayed material binding peptides has attracted great interest because of their use for development of hybrid materials with multiple functionalities. Here, we present a self-assembly approach for the construction of hybrid nanostructured networks consisting of M13 P9b phage clone, specific for Pseudomonas aeruginosa, selected by Phage display technology, directly assembled with silver nanoparticles (AgNPs), previously prepared by pulsed laser ablation. These networks are characterized by UV–vis optical spectroscopy, scanning/transmission electron microscopies and Raman spectroscopy. We investigated the influence of different ions and medium pH on self-assembly by evaluating different phage suspension buffers. The assembly of these networks is controlled by electrostatic interactions between the phage pVIII major capsid proteins and the AgNPs. The formation of the AgNPs-phage networks was obtained only in two types of tested buffers at a pH value near the isoelectric point of each pVIII proteins displayed on the surface of the clone. This systematic study allowed to optimize the synthesis procedure to assembly AgNPs and bacteriophage. Such networks find application in the biomedical field of advanced biosensing and targeted gene and drug delivery. Keywords: Phage display, Silver nanoparticles, Self-assembly, Hybrid architecture, Raman spectroscop
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