Scattering from Finite by Infinite Periodic Arrays with Arbitrary Piecewise-Linear Slot Elements

A numerical model for analyzing electromagnetic scattering from a planar Frequency Selective Surface (FSS) is developed. The model can represent an FSS with multiple arrays of arbitrary piecewise linear scatterers in a stratified dielectric medium. The FSS\u27s arrays are finite by infinite, accounting for edge effects, where a periodic array element is formed from the piecewise linear connection of thin slots in a groundplane. The stratified dielectric medium is defined as an arbitrary stack of lossless dielectric slabs that sandwich the user defined arrays, simulating an FSS. The Surface Equivalence theorem is used to construct an equivalent problem based on groundplanes and magnetic current sources. Integral equations based on the equivalent magnetic scattering currents are solved via the moment method. These unknown currents are expanded such that independent modes are defined for each infinite column of an array, where the current fluctuations along each column are defined in terms of a reference element and Floquet\u27s theorem. Individual column contributions are determined using the Array Scanning Method, preserving the plane wave form of the solution. The model has been implemented in a user-friendly computer program, and admittance calculations and scattering predictions have been validated against measured data and appropriately similar FSS codes

Interrelationships and Causal Linkages Between Socioeconomic and Environmental Factors

The purpose of this study was to examine interrelationship and causal linkages between socioeconomic and environmental variables in OECD countries. To aid this study, a LISREL modelling tool was implemented. The findings of the study indicated that gross public debt increases with deterioration in air quality in North America, Asia and the Pacific, Central, Eastern and Atlantic regions of Western Europe. Energy consumption contributes to deterioration of air quality in all regions. Economic growth, measured by growth in GDP, accelerates deterioration of air quality in all regions except in Southern and Eastern regions of Western Europe. Increases in energy consumption and economic growth contribute to declines in gross public debt in most OECD countries. Spending for environmental protection contributes to reduced emission of CO2 in all regions of Europe except Asia/Pacific and North America. Expenditure for environmental protection causes increases in public debt in all regions. However, environmental expenditure exerts positive impact on economic growth in Asia/Pacific and Central Europe. Spending in environmental protection is associated with reduction in emissions of most pollutants except in North America and Asia/Pacific and Southern regions of Western Europe. The findings also indicated that in regions where emission of SO2 is the greatest, harvesting of forests increased while fish catches declined. Emission of NOx is associated with increases in agricultural production in most regions, except in Southern and Atlantic regions of Western Europe and North America. Emission of VOCs contributed to reduction in agricultural production in most regions except in Central regions of Western Europe. In summary, economic growth tends to significantly contribute to energy consumption and deterioration of air quality. However, the later can be improved through aggressive spending in environmental protection. Therefore, it is imperative to identify a strategy that would balance economic growth and energy consumption with improved environmental qualityInterrelationship; causal linkages; socioeconomic; environmental; OECD; LISREL; modeling; air quality; energy consumption; environmental protection; emission; SO2; NOx; VOCs; economic growth; human health

Mutational analysis of the carbohydrate binding activity of the tobacco lectin

At present the three-dimensional structure of the tobacco lectin, further referred to as Nictaba, and its carbohydrate-binding site are unresolved. In this paper, we propose a three-dimensional model for the Nictaba domain based on the homology between Nictaba and the carbohydrate-binding module 22 of Clostridium thermocellum Xyn10B. The suggested model nicely fits with results from circular dichroism experiments, indicating that Nictaba consists mainly of beta-sheet. In addition, the previously identified nuclear localization signal is located at the top of the protein as a part of a protruding loop. Judging from this model and sequence alignments with closely related proteins, conserved glutamic acid and tryptophan residues in the Nictaba sequence were selected for mutational analysis. The mutant DNA sequences as well as the original Nictaba sequence have been expressed in Pichia pastoris and the recombinant proteins were purified from the culture medium. Subsequently, the recombinant proteins were characterized and their carbohydrate binding properties analyzed with glycan array technology. It was shown that mutation of glutamic acid residues in the C-terminal half of the protein did not alter the carbohydrate-binding activity of the lectin. In contrast, mutation of tryptophan residues in the N-terminal half of the Nictaba domain resulted in a complete loss of carbohydrate binding activity. These results suggest that tryptophan residues play an important role in the carbohydrate binding site of Nictaba

Inversion-based control of electromechanical systems using causal graphical descriptions

Causal Ordering Graph and Energetic Macroscopic Representation are graphical descriptions to model electromechanical systems using integral causality. Inversion rules have been defined in order to deduce control structure step-bystep from these graphical descriptions. These two modeling tools can be used together to develop a two-layer control of system with complex parts. A double-drive paper system is taken as an example. The deduced control yields good performances of tension regulation and velocity tracking

Inversion-based control of electromechanical systems using causal graphical descriptions

Causal Ordering Graph and Energetic Macroscopic Representation are graphical descriptions to model electromechanical systems using integral causality. Inversion rules have been defined in order to deduce control structure step-bystep from these graphical descriptions. These two modeling tools can be used together to develop a two-layer control of system with complex parts. A double-drive paper system is taken as an example. The deduced control yields good performances of tension regulation and velocity tracking

Rapid Development of Medical Imaging Tools with Open-Source Libraries

Rapid prototyping is an important element in researching new imaging analysis techniques and developing custom medical applications. In the last ten years, the open source community and the number of open source libraries and freely available frameworks for biomedical research have grown significantly. What they offer are now considered standards in medical image analysis, computer-aided diagnosis, and medical visualization. A cursory review of the peer-reviewed literature in imaging informatics (indeed, in almost any information technology-dependent scientific discipline) indicates the current reliance on open source libraries to accelerate development and validation of processes and techniques. In this survey paper, we review and compare a few of the most successful open source libraries and frameworks for medical application development. Our dual intentions are to provide evidence that these approaches already constitute a vital and essential part of medical image analysis, diagnosis, and visualization and to motivate the reader to use open source libraries and software for rapid prototyping of medical applications and tools

Interrelationships and Causal Linkages Between Socioeconomic and Environmental Factors

The purpose of this study was to examine interrelationship and causal linkages between socioeconomic and environmental variables in OECD countries. To aid this study, a LISREL modelling tool was implemented. The findings of the study indicated that gross public debt increases with deterioration in air quality in North America, Asia and the Pacific, Central, Eastern and Atlantic regions of Western Europe. Energy consumption contributes to deterioration of air quality in all regions. Economic growth, measured by growth in GDP, accelerates deterioration of air quality in all regions except in Southern and Eastern regions of Western Europe. Increases in energy consumption and economic growth contribute to declines in gross public debt in most OECD countries. Spending for environmental protection contributes to reduced emission of CO2 in all regions of Europe except Asia/Pacific and North America. Expenditure for environmental protection causes increases in public debt in all regions. However, environmental expenditure exerts positive impact on economic growth in Asia/Pacific and Central Europe. Spending in environmental protection is associated with reduction in emissions of most pollutants except in North America and Asia/Pacific and Southern regions of Western Europe. The findings also indicated that in regions where emission of SO2 is the greatest, harvesting of forests increased while fish catches declined. Emission of NOx is associated with increases in agricultural production in most regions, except in Southern and Atlantic regions of Western Europe and North America. Emission of VOCs contributed to reduction in agricultural production in most regions except in Central regions of Western Europe. In summary, economic growth tends to significantly contribute to energy consumption and deterioration of air quality. However, the later can be improved through aggressive spending in environmental protection. Therefore, it is imperative to identify a strategy that would balance economic growth and energy consumption with improved environmental qualit

Interrelationships and Causal Linkages Between Socioeconomic and Environmental Factors

The purpose of this study was to examine interrelationship and causal linkages between socioeconomic and environmental variables in OECD countries. To aid this study, a LISREL modelling tool was implemented. The findings of the study indicated that gross public debt increases with deterioration in air quality in North America, Asia and the Pacific, Central, Eastern and Atlantic regions of Western Europe. Energy consumption contributes to deterioration of air quality in all regions. Economic growth, measured by growth in GDP, accelerates deterioration of air quality in all regions except in Southern and Eastern regions of Western Europe. Increases in energy consumption and economic growth contribute to declines in gross public debt in most OECD countries. Spending for environmental protection contributes to reduced emission of CO2 in all regions of Europe except Asia/Pacific and North America. Expenditure for environmental protection causes increases in public debt in all regions. However, environmental expenditure exerts positive impact on economic growth in Asia/Pacific and Central Europe. Spending in environmental protection is associated with reduction in emissions of most pollutants except in North America and Asia/Pacific and Southern regions of Western Europe. The findings also indicated that in regions where emission of SO2 is the greatest, harvesting of forests increased while fish catches declined. Emission of NOx is associated with increases in agricultural production in most regions, except in Southern and Atlantic regions of Western Europe and North America. Emission of VOCs contributed to reduction in agricultural production in most regions except in Central regions of Western Europe. In summary, economic growth tends to significantly contribute to energy consumption and deterioration of air quality. However, the later can be improved through aggressive spending in environmental protection. Therefore, it is imperative to identify a strategy that would balance economic growth and energy consumption with improved environmental qualit

Pleistocene climate changes, and not agricultural spread, accounts for range expansion and admixture in the dominant grassland species <i>Lolium perenne</i> L.

International audienceAim: Grasslands have been pivotal in the development of herbivore breeding since the Neolithic and still represent the most widespread agricultural land use across Europe. However, it remains unclear whether the current large‐scale genetic variation of plant species found in natural grasslands of Europe is the result of human activities or natural processes. Location: Europe. Taxon: Lolium perenne L. (perennial ryegrass). Methods: We reconstructed the phylogeographic history of L. perenne, a dominant grassland species, using 481 natural populations, including 11 populations of closely related taxa. We combined Genotyping‐by‐Sequencing (GBS) and pool‐Sequencing (pool‐Seq) to obtain high‐quality allele frequency calls of ~500 k SNP loci. We performed genetic structure analyses and demographic reconstructions based on the site frequency spectrum (SFS). We additionally used the same genotyping protocol to assess the genomic diversity of a set of 32 cultivars representative of the L. perenne cultivars widely used for forage purposes. Results: Expansion across Europe took place during the Würm glaciation (12–110 kya), a cooling period that decreased the dominance of trees in favour of grasses. Splits and admixtures in L. perenne fit historical climate changes in the Mediterranean basin. The development of agriculture in Europe (7–3.5 kya), that caused an increase in the abundance of grasslands, did not have an effect on the demographic patterns of L. perenne. We found that most modern cultivars are closely related to natural diversity from north-western Europe. Thus, modern cultivars do not represent the wide genetic variation found in natural populations. Main conclusions: Demographic events in L. perenne can be explained by the changing climatic conditions during the Pleistocene. Natural populations maintain a wide genomic variability at continental scale that has been minimally exploited by recent breeding activities. This variability constitutes valuable standing genetic variation for future adaptation of grasslands to climate change, safeguarding the agricultural services they provide

High-Throughput Genome-Wide Genotyping To Optimize the Use of Natural Genetic Resources in the Grassland Species Perennial Ryegrass (Lolium perenne L.)

The natural genetic diversity of agricultural species is an essential genetic resource for breeding programs aiming to improve their ecosystem and production services. A large natural ecotype diversity is usually available for most grassland species. This could be used to recombine natural climatic adaptations and agronomic value to create improved populations of grassland species adapted to future regional climates. However describing natural genetic resources can be long and costly. Molecular markers may provide useful information to help this task. This opportunity was investigated for Lolium perenne L., using a set of 385 accessions from the natural diversity of this species collected right across Europe and provided by genebanks of several countries. For each of these populations, genotyping provided the allele frequencies of 189,781 SNP markers. GWAS were implemented for over 30 agronomic and/or putatively adaptive traits recorded in three climatically contrasted locations (France, Belgium, Germany). Significant associations were detected for hundreds of markers despite a strong confounding effect of the genetic background; most of them pertained to phenology traits. It is likely that genetic variability in these traits has had an important contribution to environmental adaptation and ecotype differentiation. Genomic prediction models calibrated using natural diversity were found to be highly effective to describe natural populations for almost all traits as well as commercial synthetic populations for some important traits such as disease resistance, spring growth or phenological traits. These results will certainly be valuable information to help the use of natural genetic resources of other species