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Tris(pyrazol-1-yl)borate and tris(pyrazol-1-yl)methane: A DFT study of their different binding capability toward Ag(I) and Cu(I) cations
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Inorganica Chimica Acta
Volume 362, Issue 12, 15 September 2009, Pages 4358-4364
Tris(pyrazol-1-yl)borate and tris(pyrazol-1-yl)methane: A DFT study of their different binding capability toward Ag(I) and Cu(I) cations (Article)
Casarin, M.acd , Forrer, D.ad, Garau, F.a, Pandolfo, L.ad, Pettinari, C.b, Vittadini, A.cd
a Dipartimento di Scienze Chimiche, Università degli Studi di Padova, Via Marzolo 1, 35131 Padova, Italy
b Dipartimento di Scienze Chimiche, Camerino, Italy
c Istituto di Scienze Molecolari, CNR, Padova, Italy
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Abstract
Density functional theory has been used to study the electronic structure of [M(tp)] and [M(tpm)]+ conformers (M = Cu, Ag; tp = tris(pyrazol-1-yl)borate anion, tpm = tris(pyrazol-1-yl)methane) and the energetics of their interconversions. Results for the free tp ligand are similar to those of tpm [M. Casarin, D. Forrer, F. Garau, L. Pandolfo, C. Pettinari, A. Vittadini, J. Phys. Chem. A 112 (2008) 6723], indicating an intrinsic instability of the tripodal conformation (κ3-like). This points out that, though frequently observed, the κ3-coordinative mode is unlikely to be directly achieved through the interaction of M(I) with the κ3-like tp/tpm conformer. Analogously to the [M(tpm)]+ molecular ions, the energy barrier for the κ2-[M(tp)] → κ3-[M(tp)] conversion is computed to be negligible. Though κn-[M(tp)] and κn-[M(tpm)]+ (n = 1, 2, 3) have similar metal-ligand covalent interactions, the negative charge associated to the tp ligand makes the M-tp bonding stronger
Tris(pyrazol-1-yl)borate and Tris(pyrazol-1-yl)methane: A DFT Study of Their Different Binding Capability Toward Ag(I) and Cu(I) Cations
Density functional theory has been used to study the electronic structure of [M(tp)] and [M(tpm)]+ conformers (M = Cu, Ag; tp = tris(pyrazol-1-yl)borate anion, tpm = tris(pyrazol-1-yl)methane) and the energetics of their interconversions. Results for the free tp ligand are similar to those of tpm [M. Casarin, D. Forrer, F. Garau, L. Pandolfo, C. Pettinari, A. Vittadini, J. Phys. Chem. A 112 (2008) 6723], indicating an intrinsic instability of the tripodal conformation (k3-like). This points out that, though frequently observed, the k3-coordinative mode is unlikely to be directly achieved through the interaction of M(I) with the k3-like tp/tpm conformer. Analogously to the [M(tpm)]+ molecular ions, the energy barrier for the k2-[M(tp)] → k3-[M(tp)] conversion is computed to be negligible. Though kn-[M(tp)] and kn-[M(tpm)]+ (n = 1, 2, 3) have similar metal–ligand covalent interactions, the negative charge associated to the tp ligand makes the M-tp bonding stronger
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Territorial cooperation and the rethinking of multilevel governance have become highly topical in Europe (Murphy 2008; Faludi, 2010; 2012; Eversa, et al., 2013). In fact, local governments have been forced to adopt new strategies to increase their territorial competitiveness both as a result of austerity policies implemented following the financial crisis of 2008 and the growing demand for quality by the community itself. However, interest in territorial cooperation has led to inevitable effects on local and regional governance and, with it, the political decision-making entity, causing it to think strategically and dynamically about urban planning codes, which, in turn, do not consider the complexity of interacting factors on the structure of cities and their gravitation areas. Starting from these assumptions, the aim of this paper is to (i) introduce the concept of territorial cooperation and multilevel governance, focusing then on its excursus evolution, (ii) analyze the relationship between polycentric regional development, regional cohesion and political entity; (iii) create a set of indicators to measure regional cooperation. Furthermore, the study is applied to an Italian context which provides the initial input for a discussion on smart regional cooperation
IDENTIFICATION OF RICE FIELDS IN THE LOMBARDY REGION OF ITALY BASED ON TIME SERIES OF SENTINEL-1 DATA
Probably a consequence of the unbalance between rice production in Asia and in Europe, satellite-based rice identification in Asia is widely discussed in scientific literature whereas SAR-based mapping of European rice paddy field has received less attention so far. In this paper, we propose a simple methodology for identifying European rice paddy fields from time series of SAR data. Standard practices for management of water in conventional European rice paddy fields translates into a distinctive pattern of low backscatter values between April and May, typically preceded and followed by higher backscatter values due to ploughing and emergence. Our proposed method leverages such pattern to discriminate rice against other crops and in a test involving the entire Italian rice-producing region of Lombardy has achieved very good Overall Accuracy (OA) scores. This paper reports the method, our test results and draws some preliminary conclusions
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Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
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