909 research outputs found
Design Principles for Plasmonic Nanoparticle Devices
For all applications of plasmonics to technology it is required to tailor the
resonance to the optical system in question. This chapter gives an
understanding of the design considerations for nanoparticles needed to tune the
resonance. First the basic concepts of plasmonics are reviewed with a focus on
the physics of nanoparticles. An introduction to the finite element method is
given with emphasis on the suitability of the method to nanoplasmonic device
simulation. The effects of nanoparticle shape on the spectral position and
lineshape of the plasmonic resonance are discussed including retardation and
surface curvature effects. The most technologically important plasmonic
materials are assessed for device applicability and the importance of
substrates in light scattering is explained. Finally the application of
plasmonic nanoparticles to photovoltaic devices is discussed.Comment: 29 pages, 15 figures, part of an edited book: "Linear and Non-Linear
Nanoplasmonics
Semantic and Knowledge Engineering Using ENVRI RM
The ENVRI Reference Model provides architects and engineers with the means to describe the architecture and operational behaviour of environmental and Earth science research infrastructures (RIs) in a standardised way using the standard terminology. This terminology and the relationships between specific classes of concept can be used as the basis for the machine-actionable specification of RIs or RI subsystems.
Open Information Linking for Environmental RIs (OIL-E) is a framework for capturing architectural and design knowledge about environmental and Earth science RIs intended to help harmonise vocabulary, promote collaboration and identify common standards and technologies across different research infrastructure initiatives. At its heart is an ontology derived from the ENVRI Reference Model. Using this ontology, RI descriptions can be published as linked data, allowing discovery, querying and comparison using established Semantic Web technologies. It can also be used as an upper ontology by which to connect descriptions of RI entities (whether they be datasets, equipment, processes, etc.) that use other, more specific terminologies.
The ENVRI Knowledge Base uses OIL-E to capture information about environmental and Earth science RIs in the ENVRI community for query and comparison. The Knowledge Base can be used to identify the technologies and standards used for particular activities and services and as a basis for evaluating research infrastructure subsystems and behaviours against certain criteria, such as compliance with the FAIR data principles
The metabolic syndrome is not associated with homocysteinemia: The Persian Gulf Healthy Heart Study
Background: It is uncertain whether homocysteine
and the metabolic syndrome or its components are related
in the general population, as studies investigating the
association between homocysteine levels and insulin resistance
have shown conflicting results. Methods: In an ancillary
study to the Persian Gulf Healthy Heart Study, a cohort
study of Iranian men and women aged ≥25 yr, a random sample
of 1754 subjects were evaluated for the association of
plasma homocysteine levels and the metabolic syndrome using
National Cholesterol Education Program (NCEP)-Adult
Treatment Panel (ATP)-III criteria. Total homocysteine levels
and high sensitivity C-reactive protein (CRP) were determined
by enzyme-linked immunosorbent assays. Results: Subjects
with lower HDL-cholesterol and higher blood pressure
showed significantly higher homocysteine levels (p=0.001
and p<0.0001; respectively). There was no significant difference
in serum levels of homocysteine between subjects with
and without the metabolic syndrome. In multiple logistic regression
analysis, the metabolic syndrome did not show a
significant association with serum homocysteine levels after
adjusting for sex, age, smoking, fruit and vegetable intake
pattern, body mass index, and physical inactivity. Concurrent
elevated CRP levels and the metabolic syndrome also did not
show a significant association with serum homocysteine levels
after adjusting for sex, age, and lifestyle cardiovascular
risk factors. Conclusions: There was no association between
the metabolic syndrome using NCEP-ATPIII criteria and homocysteinemia
in this study. These data refute the hypothesis
that homocysteine levels are influenced by the metabolic
syndrome, at least in general healthy population
Thin film encapsulation for organic light-emitting diodes using inorganic/organic hybrid layers by atomic layer deposition
Upregulated ankyrin repeat-rich membrane spanning protein contributes to tumour progression in cutaneous melanoma
Channel Characteristics of MIMO-WLAN Communications at 60GHz for Various Corridors
[[abstract]]A comparison of 4 × 4 multiple-input multiple-output wireless local area network wireless communication characteristics for six different geometrical shapes is investigated. These six shapes include the straight shape corridor with rectangular cross section, the straight shape corridor with arched cross section, the curved shape corridor with rectangular cross section, the curved shape corridor with arched cross section, the L-shape corridor, and the T-shape corridor. The impulse responses of these corridors are computed by applying shooting and bouncing ray/image (SBR/Image) techniques along with inverse Fourier transform. By using the impulse response of these multipath channels, the mean excess delay, root mean square (RMS) delay spread for these six corridors can be obtained. Numerical results show that the capacity for the rectangular cross section corridors is smaller than those for the arched cross section corridors regardless of the shapes. And the RMS delay spreads for the T-and the L-shape corridors are greater than the other corridors.[[notice]]補正完畢[[incitationindex]]SCI[[incitationindex]]EI[[booktype]]紙本[[booktype]]電子
Ensemble Modeling for Aromatic Production in Escherichia coli
Ensemble Modeling (EM) is a recently developed method for metabolic modeling, particularly for utilizing the effect of enzyme tuning data on the production of a specific compound to refine the model. This approach is used here to investigate the production of aromatic products in Escherichia coli. Instead of using dynamic metabolite data to fit a model, the EM approach uses phenotypic data (effects of enzyme overexpression or knockouts on the steady state production rate) to screen possible models. These data are routinely generated during strain design. An ensemble of models is constructed that all reach the same steady state and are based on the same mechanistic framework at the elementary reaction level. The behavior of the models spans the kinetics allowable by thermodynamics. Then by using existing data from the literature for the overexpression of genes coding for transketolase (Tkt), transaldolase (Tal), and phosphoenolpyruvate synthase (Pps) to screen the ensemble, we arrive at a set of models that properly describes the known enzyme overexpression phenotypes. This subset of models becomes more predictive as additional data are used to refine the models. The final ensemble of models demonstrates the characteristic of the cell that Tkt is the first rate controlling step, and correctly predicts that only after Tkt is overexpressed does an increase in Pps increase the production rate of aromatics. This work demonstrates that EM is able to capture the result of enzyme overexpression on aromatic producing bacteria by successfully utilizing routinely generated enzyme tuning data to guide model learning
Ghrelin Attenuates the Osteoblastic Differentiation of Vascular Smooth Muscle Cells through the ERK Pathway
Vascular calcification results from osteoblastic differentiation of vascular smooth muscle cells (VSMCs) and is a major risk factor for cardiovascular events. Ghrelin is a newly discovered bioactive peptide that acts as a natural endogenous ligand of the growth hormone secretagog receptor (GHSR). Several studies have identified the protective effects of ghrelin on the cardiovascular system, however research on the effects and mechanisms of ghrelin on vascular calcification is still quite rare. In this study, we determined the effect of ghrelin on osteoblastic differentiation of VSMCs and investigated the mechanism involved using the two universally accepted calcifying models of calcifying vascular smooth muscle cells (CVSMCs) and beta-glycerophosphate (beta-GP)-induced VSMCs. Our data demonstrated that ghrelin inhibits osteoblastic differentiation and mineralization of VSMCs due to decreased alkaline phosphatase (ALP) activity, Runx2 expression, bone morphogenetic protein-2 (BMP-2) expression and calcium content. Further study demonstrated that ghrelin exerted this suppression effect via an extracellular signal-related kinase (ERK)-dependent pathway and that the suppression effect of ghrelin was time dependent and dose dependent. Furthermore, inhibition of the growth hormone secretagog receptor (GHSR), the ghrelin receptor, by siRNA significantly reversed the activation of ERK by ghrelin. In conclusion, our study suggests that ghrelin may inhibit osteoblastic differentiation of VSMCs through the GHSR/ERK pathway
Detection of cervical lymph node metastasis in head and neck cancer patients with clinically N0 neck—a meta-analysis comparing different imaging modalities
Human and Non-Human Primate Genomes Share Hotspots of Positive Selection
Among primates, genome-wide analysis of recent positive selection is currently
limited to the human species because it requires extensive sampling of genotypic
data from many individuals. The extent to which genes positively selected in
human also present adaptive changes in other primates therefore remains unknown.
This question is important because a gene that has been positively selected
independently in the human and in other primate lineages may be less likely to
be involved in human specific phenotypic changes such as dietary habits or
cognitive abilities. To answer this question, we analysed heterozygous Single
Nucleotide Polymorphisms (SNPs) in the genomes of single human, chimpanzee,
orangutan, and macaque individuals using a new method aiming to identify
selective sweeps genome-wide. We found an unexpectedly high number of
orthologous genes exhibiting signatures of a selective sweep simultaneously in
several primate species, suggesting the presence of hotspots of positive
selection. A similar significant excess is evident when comparing genes
positively selected during recent human evolution with genes subjected to
positive selection in their coding sequence in other primate lineages and
identified using a different test. These findings are further supported by
comparing several published human genome scans for positive selection with our
findings in non-human primate genomes. We thus provide extensive evidence that
the co-occurrence of positive selection in humans and in other primates at the
same genetic loci can be measured with only four species, an indication that it
may be a widespread phenomenon. The identification of positive selection in
humans alongside other primates is a powerful tool to outline those genes that
were selected uniquely during recent human evolution
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