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- 저자 : Roberto Colombo (검색결과 3 건)
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Andrea Crivellini,Alessandra Nigro,Alessandro Colombo,Antonio Ghidoni,Gianmaria Noventa,Andrea Cimarelli,Roberto Corsini 한국풍공학회 2022 Wind and Structures, An International Journal (WAS Vol.34 No.1
In this work the numerical results of the flow around a 5:1 rectangular cylinder at Reynolds numbers 3 000 and 40 000, zero angle of attack and smooth incoming flow condition are presented. Implicit Large Eddy Simulations (ILES) have been performed with a high-order accurate spatial scheme and an implicit high-order accurate time integration method. The spatial approximation is based on a discontinuous Galerkin (dG) method, while the time integration exploits a linearly-implicit Rosenbrock-type Runge-Kutta scheme. The aim of this work is to show the feasibility of high-fidelity flow simulations with a moderate number of DOFs and large time step sizes. Moreover, the effect of different parameters, i.e., dimension of the computational domain, mesh type, grid resolution, boundary conditions, time step size and polynomial approximation, on the results accuracy is investigated. Our best dG result at Re=3 000 perfectly agrees with a reference DNS obtained using Nek5000 and about 40 times more degrees of freedom. The Re=40 000 computations, which are strongly under-resolved, show a reasonable correspondence with the experimental data of Mannini et al. (2017) and the LES of Zhang and Xu (2020).
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Marco Calabrò,Laura Mandelli,Concetta Crisafulli,Marco Di Nicola,Roberto Colombo,Luigi Janiri,Soo-Jung Lee,Tae-Youn Jun,Sheng Min Wang,Prakash S Masand,Ashwin A Patkar,Changsu Han,Chi-Un Pae,Alessandr 대한정신약물학회 2020 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.18 No.2
Objective: Genetic variations in the gene encoding zinc finger protein 804A gene (ZNF804A) have been associated with major depression and bipolar disorder. In this work we focused on the potential influence of ZNF804A variations on the risk of developing specific sub-phenotypes as well as the individual response to available treatments. Methods: We used two samples of different ethnic origin: a Korean sample, composed by 242 patients diagnosed with major depression and 132 patients diagnosed with bipolar disorder and 326 healthy controls; an Italian sample composed 151 major depression subjects, 189 bipolar disorder subjects and 38 outpatients diagnosed for a primary anxiety disorder. Results: Our analyses reported an association of rs1344706 with psychotic phenotype in the cross-diagnostic pooled sample (geno p = 4.15 × 10−4, allelic p = 1.06 × 10−4). In the cross-diagnosis Italian sample but not in the Korean one, rs7597593 was involved with depressive symptoms improvement after treatment (geno p = 0.025, allelic p = 0.007). Conclusion: The present study evidenced the role of ZNF804A alterations in symptoms improvement after treatment. Both manic and depressive symptoms seem to be modulated by ZNF804A, though the latter was observed in the bipolar pooled sample only. The role of this factor is likely related to synaptic development and maintenance; however, further analyses will be needed to better understand the molecular mechanics involved with ZNF804A.
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Tagliabue, Giulia,Panigada, Cinzia,Dechant, Benjamin,Baret, Fré,dé,ric,Cogliati, Sergio,Colombo, Roberto,Migliavacca, Mirco,Rademske, Patrick,Schickling, Anke,Schü,ttemeyer, Dirk,Verre Elsevier 2019 Remote sensing of environment Vol.231 No.-
<P><B>Abstract</B></P> <P>Terrestrial gross primary productivity (GPP) plays an essential role in the global carbon cycle, but the quantification of the spatial and temporal variations in photosynthesis is still largely uncertain. Our work aimed to investigate the potential of remote sensing to provide new insights into plant photosynthesis at a fine spatial resolution. This goal was achieved by exploiting high-resolution images acquired with the FLuorescence EXplorer (FLEX) airborne demonstrator <I>HyPlant</I>. The sensor was flown over a mixed forest, and the images collected were elaborated to obtain two independent indicators of plant photosynthesis. First, maps of sun-induced chlorophyll fluorescence (F), a novel indicator of plant photosynthetic activity, were successfully obtained at both the red and far-red peaks (r<SUP>2</SUP> = 0.89 and <I>p</I> < 0.01, r<SUP>2</SUP> = 0.77 and p < 0.01, respectively, compared to top-of-canopy ground-based measurements acquired synchronously with the overflight) over the forested study area. Second, maps of GPP and absorbed photosynthetically active radiation (APAR) were derived using a customised version of the coupled biophysical model Breathing Earth System Simulator (BESS). The model was driven with airborne-derived maps of key forest traits (i.e., leaf chlorophyll content (LCC) and leaf area index (LAI)) and meteorological data providing a high-resolution snapshot of the variables of interest across the study site. The LCC and LAI were accurately estimated (RMSE = 5.66 μg cm<SUP>−2</SUP> and RMSE = 0.51 m<SUP>2</SUP> m<SUP>−2</SUP>, respectively) through an optimised Look-Up-Table-based inversion of the PROSPECT-4-INFORM radiative transfer model, ensuring the accurate representation of the spatial variation of these determinants of the ecosystem's functionality. The spatial relationships between the measured F and modelled BESS outputs were then analysed to interpret the variability of ecosystem functioning at a regional scale. The results showed that far-red F is significantly correlated with the GPP (r<SUP>2</SUP> = 0.46, <I>p</I> < 0.001) and APAR (r<SUP>2</SUP> = 0.43, p < 0.001) in the spatial domain and that this relationship is nonlinear. Conversely, no statistically significant relationships were found between the red F and the GPP or APAR (<I>p</I> > 0.05). The spatial relationships found at high resolution provide valuable insight into the critical role of spatial heterogeneity in controlling the relationship between the far-red F and the GPP, indicating the need to consider this heterogeneity at a coarser resolution.</P> <P><B>Highlights</B></P> <P> <UL> <LI> High-resolution LCC and LAI maps were obtained from <I>HyPlant</I> through RTM inversion. </LI> <LI> High-resolution GPP and APAR maps were obtained driving BESS with <I>HyPlant</I> data. </LI> <LI> High-resolution F<SUB>687</SUB> and F<SUB>760</SUB> maps were obtained from <I>HyPlant</I> using SFM in a forest. </LI> <LI> F<SUB>687</SUB> showed a non-significant relation with GPP and APAR in the spatial domain. </LI> <LI> F<SUB>760</SUB> showed a positive nonlinear relation with GPP and APAR in the spatial domain. </LI> </UL> </P>
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