Landscape grammar: a method to analyse and design hedgerows and networks.

In Europe, rural landscapes are characterized by the presence of hedgerows and networks. In recent decades changes in agricultural systems, due in particular to the intensification of agricultural practices, have caused a transformation of hedgerows and networks, thereby reducing their qualities and changing their ecological and social functions. Yet, no global framework to analyze and design hedgerows and networks is available. Our paper is a step forward in combining the ecological and social dimension of hedgerows and hedgerow networks for both analytical and planning purposes. We propose to use a landscape grammar for deciphering the structural and functional aspects of hedgerow units and networks and to formalize rules for design and management based on scientific evidence. In the case of hedgerows, landscape grammar consists of letters, or single units of trees and shrubs of different species and their different shapes related to management practices. Appropriate or meaningful combinations of letters create words and sentences, hence forming hedgerow networks. In order to test the suitability of the grammar for reading or understanding and consequently writing or planning hedgerows in different landscapes, two study areas were chosen: Pleine-Fougères in Brittany (France) and Pianura Padana in Piedmont (Italy). The basic units, the aggregated units and the network were analyzed respectively as the letters, the words and the syntax of our landscape grammar. This metaphor provides an analytical framework for understanding hedgerows, from the individual tree to the landscape. Our model anticipates the concerns of both researchers and policymakers throughout the hedgerow network planning process

Conception of a simulator for a TEL system in orthopaedic surgery.

Within a research project whose aim is to promote the learning of percutaneous operation in orthopedic surgery, we investigate some representation models of empirical, deductive, and perceptivo-gestural knowledge. From these models, we design an TEL system (Tecnological Enhaced Learning) This project belongs to a multidisciplinary field including computer, orthopedic surgery, medical imaging, didactic and cognitive sciences. The article presents the design principles of TEL with a particular interest in the development of a simulator. This simulator allows a virtual exercise interacting with the learner in visual, temporal and haptic dimension

Properties of intrinsic point defects and dimers in hexagonal boron nitride

Hexagonal boron nitride (hBN) is a wide gap 2D layered material with good insulating properties. Intrinsic point defects in hBN play an important role in its applications as a dielectric in 2D electronic devices. However, the electronic properties of these defects are still poorly understood. We have calculated the structure and properties of a wide range of intrinsic point defects in the bulk of hBN using hybrid density functional theory (DFT). These include vacancies and interstitial states of B and N as well as di- and tri-vacancies. For each isolated defect, multiple charge states are calculated, and for each charge state multiple spin states are investigated. Positions of defect charge transition levels in the band gap of hBN are calculated. In particular, we predict that B vacancies are likely to be negatively charged in contact with graphene and other metals. Calculations of the interaction between vacancies predict that divacancies in both B and N sublattices are strongly binding. Moreover, the interaction of single B and N vacancies in adjacent layers induces the creation of -N--N- and -B--B- molecular bridges, which greatly distort the local structure, leading to local bond weakening. These results provide further insight into the properties of defects which can be responsible for degradation of hBN based devices

Risk of de‐novo formation of chlormequat and mepiquat in industrial cocoa products assessed by ion chromatography coupled with high‐resolution mass spectrometry

Mepiquat (MQ) and chlormequat (CQ) are two main food contaminants that could be naturally present in various animal and plant foods due to heat treatments. Cocoa and its derivative products seem to be a matrix inclined, for both chemical characteristics and production technologies, to the formation of MQ and CQ. In this study, exploiting the selectivity and sensitivity of IC-HRMS, a new reliable analytical method was developed and validated for MQ and CQ quantification. The LOD of the method was set at 1.9 lg kg 1 for both CQ and MQ, and the linearity was defined from 6.25 to 625 lg kg 1 . Average recoveries, at 2 lg L 1 , were 96.5% and 97.5% for CQ and MQ, respectively, while precision as repeatability (RSDr%) was 2.3% and 5.1% respectively. Subsequently, a laboratory-scale experiment was conducted to assess, for the first time, the actual risk of MQ and CQ formation, confirming in cocoa products the presence of MQ at detectable concentration after 55 min at 180 °C, approximately 8 lg kg 1 for cocoa and 7 lg kg 1 for chips. However, the investigation of a wide variety of commercial cocoa and nuts products has fortunately ruled out the presence of such contaminants at detectable concentration

Subdiffusion of nonlinear waves in quasiperiodic potentials

We study the spatio-temporal evolution of wave packets in one-dimensional quasiperiodic lattices which localize linear waves. Nonlinearity (related to two-body interactions) has destructive effect on localization, as recently observed for interacting atomic condensates [Phys. Rev. Lett. 106, 230403 (2011)]. We extend the analysis of the characteristics of the subdiffusive dynamics to large temporal and spatial scales. Our results for the second moment $m_2$ consistently reveal an asymptotic $m_2 \sim t^{1/3}$ and intermediate $m_2 \sim t^{1/2}$ laws. At variance to purely random systems [Europhys. Lett. 91, 30001 (2010)] the fractal gap structure of the linear wave spectrum strongly favors intermediate self-trapping events. Our findings give a new dimension to the theory of wave packet spreading in localizing environments

Efficient calculation of the worst-case error and (fast) component-by-component construction of higher order polynomial lattice rules

We show how to obtain a fast component-by-component construction algorithm for higher order polynomial lattice rules. Such rules are useful for multivariate quadrature of high-dimensional smooth functions over the unit cube as they achieve the near optimal order of convergence. The main problem addressed in this paper is to find an efficient way of computing the worst-case error. A general algorithm is presented and explicit expressions for base~2 are given. To obtain an efficient component-by-component construction algorithm we exploit the structure of the underlying cyclic group. We compare our new higher order multivariate quadrature rules to existing quadrature rules based on higher order digital nets by computing their worst-case error. These numerical results show that the higher order polynomial lattice rules improve upon the known constructions of quasi-Monte Carlo rules based on higher order digital nets

Role of electron and hole trapping in the degradation and breakdown of SiO2 and HfO2 films

We investigated possible mechanisms for correlated defect production in amorphous (a) SiO 2 and HfO 2 films under applied stress bias using ab initio simulations. During bias application, electron injection into these films may lead to the localization of up to two electrons at intrinsic trapping sites which are present due to the natural structural disorder in amorphous structures. Trapping two electrons weakens Si-O and Hf-O bonds to such an extent that the thermally activated creation of Frenkel defects, O vacancies and O 2- interstitial ions, becomes efficient even at room temperature. Bias application affects defect creation barriers and O 2- interstitial diffusion. The density of trapping sites is different in a-SiO 2 and a-HfO 2 . This leads to qualitatively different degradation kinetics, which results from different correlation in defect creation in the two materials. These effects affect TDDB statistics and its dependence on the film thickness

Proteomic analysis of cytosolic proteins associated with petite mutations in Candida glabrata

The incidence of superficial or deep-seated infections due to Candida glabrata has increased markedly, probably because of the low intrinsic susceptibility of this microorganism to azole antifungals and its relatively high propensity to acquire azole resistance. To determine changes in the C. glabrata proteome associated with petite mutations, cytosolic extracts from an azole-resistant petite mutant of C. glabrata induced by exposure to ethidium bromide, and from its azole-susceptible parent isolate were compared by two-dimensional polyacrylamide gel electrophoresis. Proteins of interest were identified by peptide mass fingerprinting or sequence tagging using a matrix-assisted laser desorption/ionization tandem time-of-flight mass spectrometer. Tryptic peptides from a total of 160 Coomassie-positive spots were analyzed for each strain. Sixty-five different proteins were identified in the cytosolic extracts of the parent strain and 58 in the petite mutant. Among the proteins identified, 10 were higher in the mutant strain, whereas 23 were lower compared to the parent strain. The results revealed a significant decrease in the enzymes associated with the metabolic rate of mutant cells such as aconitase, transaldolase, and pyruvate kinase, and changes in the levels of specific heat shock proteins. Moreover, transketolase, aconitase and catalase activity measurements decreased significantly in the ethidium bromide-induced petite mutant. These data may be useful for designing experiments to obtain a better understanding of the nuclear response to impairment of mitochondrial function associated with this mutation in C. glabrata