41. Exploring element accumulation patterns of a metal excluder plant naturally colonizing a highly contaminated soilSara Pignattelli, Ilaria Colzi, Lorenzo Cecchi, Miluscia Arnetoli, Roberto Monnanni, Roberto Gabbrielli, Cristina Gonnelli, 2012, original scientific article Abstract: This work investigates the element distribution in Silene paradoxa growing on the mine dump of Fenice Capanne (Tuscany, Italy). The accumulation of As, Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn in root apoplast and symplast and in shoot was assessed and compared to the levels of the same metals in the respective rizosphere soils, analyzing both the total and the phytoavailable fractions.
Levels of As, Cu, Fe, Pb and Zn, were above toxicity thresholds in both soil and shoot samples. Inter- and intra-element correlations were analyzed in plant and soil using different statistical methods. Soil total and phytoavailable metal concentration were shown not to be dominant in determining metal accumulation by the plant, since no significant positive correlation was found between metal concentration in soils and plants. Moreover, results indicated that S. paradoxa was able to cope with the studied multi-metal contaminated soil excluding the elements from its tissues and preferentially accumulating them into the root compartment, thus suggesting this species as possible good candidate for phytostabilization purposes.
Keywords: Metals, Mine dump, Phytostabilization, Silene paradoxa, Compositional data analysis
Published in RUNG: 20.04.2020; Views: 3821; Downloads: 0
This document has many files! More... |
42. A multielement analysis of Cu induced changes in the mineral profilesof Cu sensitive and tolerant populations of Silene paradoxa L.Sara Pignattelli, Ilaria Colzi, Antonella Buccianti, Ilenia Cattani, Gian Maria Beone, Henk Schat, Cristina Gonnelli, 2013, original scientific article Abstract: tThis work investigates the Cu induced changes in element profiles in contrasting ecotypes of Silene para-doxa L. A metallicolous copper tolerant population and a non-metallicolous sensitive population weregrown in hydroponics and exposed to different CuSO4treatments. Shoot and root concentrations of Ca,Cu, Fe, K, Mg, Mn, Mo, Na, P, S and Zn were evaluated through ICP-OES.Results indicated that increasing the environmental Cu concentration had a population dependenteffect on element profiles, shoot-to-root ratios and correlations among the elements. Generally, in thetolerant population Cu treatment induced a higher element accumulation in roots and had minimaleffects on the shoot element profile, thus resulting in a progressively decreasing shoot-to-root ratio foreach element. In the sensitive population element concentrations in root and shoot were much moreaffected and without a consistent trend. Copper treatment also affected the correlations between theelements, both in roots and shoots of the two populations, but more so in the sensitive population thanin the tolerant one. Thus, Cu exposure strongly disturbed element homeostasis in the sensitive population,but barely or not in the tolerant one, probably mainly due to a higher capacity to maintain proper rootfunctioning under Cu exposure in the latter. Differences in element profiles were also observed in theabsence of toxic Cu exposure. These differences may reflect divergent population-specific adaptations todifferential nutrient availability levels prevailing in the populations’ natural environments. There is noevidence of inherent side-effects of the Cu tolerance mechanism operating in the tolerant population.
Keywords: Mineral profile, Copper tolerance, Silene paradoxa, Compositional data analysis
Published in RUNG: 20.04.2020; Views: 3866; Downloads: 0
This document has many files! More... |
43. A cellular network database for fingerprint positioning systemsDonatella Gubiani, Paolo Gallo, Andrea Viel, Andrea Dalla Torre, Angelo Montanari, 2019, published scientific conference contribution Abstract: Besides being a fundamental infrastructure for communication, cellular networks are increasingly exploited for positioning via signal fingerprinting.
Here, we focus on cellular signal fingerprinting, where an accurate and comprehensive knowledge of the network is fundamental.
We propose an original multilevel database for cellular networks, which can be automatically updated with new fingerprint measurements and makes it possible to execute a number of meaningful analyses. In particular, it allows one to monitor the distribution of cellular networks over countries, to determine the density of cells in different areas, and to detect inconsistencies in fingerprint observations.
Keywords: Cellular network, Signal fingerprinting, Multilevel database, Data analysis
Published in RUNG: 17.09.2019; Views: 4347; Downloads: 0
This document has many files! More... |
44. Evaluation and Improvement of Lidar Performance Based on Temporal and Spatial Variance CalculationFei Gao, Xinxin Xu, Qingsong Zhu, Li Wang, Tingyao He, Longlong Wang, Samo Stanič, Dengxin Hua, 2019, original scientific article Keywords: spatial variance, temporal variance, analog data, photon-counting data, dead time, threshold voltage, linear working range, data gluing
Published in RUNG: 06.05.2019; Views: 4304; Downloads: 0
This document has many files! More... |
45. |
46. |
47. End-to-end data acquisition pipeline for the Cherenkov Telescope ArrayE. Lyard, Christopher Eckner, Gašper Kukec Mezek, Samo Stanič, Serguei Vorobiov, Lili Yang, Gabrijela Zaharijas, Danilo Zavrtanik, Marko Zavrtanik, 2017, published scientific conference contribution Keywords: CTA, data acquisition, Python interface
Published in RUNG: 16.02.2018; Views: 3940; Downloads: 154
 Full text (326,04 KB) |
48. An Indication of Anisotropy in Arrival Directions of Ultra-high-energy Cosmic Rays through Comparison to the Flux Pattern of Extragalactic Gamma-Ray SourcesA. Aab, Andrej Filipčič, Gašper Kukec Mezek, Ahmed Saleh, Samo Stanič, Marta Trini, Darko Veberič, Serguei Vorobiov, Lili Yang, Danilo Zavrtanik, Marko Zavrtanik, 2018, original scientific article Keywords: astroparticle physics, cosmic rays, active galaxies, starburst galaxies, data analysis methods
Published in RUNG: 14.02.2018; Views: 4436; Downloads: 0
This document has many files! More... |
49. Identification of clusters of rapid and slow decliners among subjects at risk for Alzheimer’s diseaseDragan Gamberger, Nada Lavrač, Shantanu Srivatsa, Rudolph E. Tanzi, Murali Doraiswamy, 2017, original scientific article Abstract: The heterogeneity of Alzheimer’s disease contributes to the high failure rate of prior clinical trials. We analyzed 5-year longitudinal outcomes and biomarker data from 562 subjects with mild cognitive impairment (MCI) from two national studies (ADNI) using a novel multilayer clustering algorithm. The algorithm identified homogenous clusters of MCI subjects with markedly different prognostic cognitive
trajectories. A cluster of 240 rapid decliners had 2-fold greater atrophy and progressed to dementia at almost 5 times the rate of a cluster of 184 slow decliners. A classifier for identifying rapid decliners in one study showed high sensitivity and specificity in the second study. Characterizing subgroups of at risk subjects, with diverse prognostic outcomes, may provide novel mechanistic insights and facilitate clinical trials of drugs to delay the onset of AD.
Keywords: Alzheimer's disease, Rapid decliners, Data clustering, Mild cognitive impairment
Published in RUNG: 17.08.2017; Views: 5373; Downloads: 356
Full text (1,78 MB) |
50. |
