586 research outputs found
Cubic and hexagonal InGaAsN dilute arsenides by unintentional homogeneous incorporation of As into InGaN
Arsenic alloying is observed for epitaxial layers nominally intended to be In0.75Ga0.25N. Voids form beneath their interfaces with GaAs substrates, acting as sources of Ga + As out-diffusion into the growing epilayers. As a result, heteroepitaxial single-phase quaternary InxGa1-xAsyN1-y, films are formed with x similar to 0.55 and 0.05 menor que y menor que 0,10. While an undoped epilayer retains the wurtzite structure, a Mn-doped sample showed randomly spaced dopant segregations, which, together with a slightly higher As concentration, led to a transformation from the hexagonal to the twinned cubic phase
Ferrihidrita ferrimagnética: una historia de serendipia y radiación de sincrotón
II Encuentro sobre nanociencia y nanotecnología de investigadores y tecnólogos de la Universidad de Córdoba. NANOUC
Raman studies of Ge-promoted stress modulation in 3C-SiC grown on Si(111)
We present a study of the stress state in cubic silicon carbide (3C-SiC) thin films (120 and 300 nm) grown by solid-source molecular-beam epitaxy (SSMBE) on Si(111) substrates modified by the deposition of germanium prior to the carbonization of Si. μ -Raman measurements were used to determine the residual stress existing in the 3C-SiC layers. The stress is found to decrease linearly with increasing Ge quantity but with different strength depending on the 3C-SiC thickness deposited after the introduction of Ge. Based on secondary ions mass spectroscopy (SIMS) and transmission electron microscopy (TEM) analyses it is suggested that the Ge introduced prior to the carbonization step remains in the near-interface region and reduces the Si outdiffusion, which further reduces the stress state of the 3C-SiC layers
Ge-modified Si(100) substrates for the growth of 3C-SiC (100)
An alternative route to improve the epitaxial growth of 3C-SiC (100) on Si(100) was developed. It consists in covering the silicon wafers with germanium prior to the carbonization step of the silicon substrate. Transmission electron microscopy and μ -Raman investigations revealed an improvement in the residual strain and crystalline quality of the grown 3C-SiC layers comparable to or better than in the case of 3C-SiC grown on silicon on insulator substrates. These beneficial effects were reached by using a Ge coverage in the range of 0.5-1 monolayer
Empirical leucine-to-carbon conversion factors for estimating heterothrophic bacterial production in surface waters of the world oceans
Comunicación oralBacterial biomass production is a key parameter for evaluating the role of bacterioplankton in ocean carbon cycling. However, bacterial production cannot be directly measured and is typically estimated from the incorporation rates of radiolabelled leucine. The conversion of leucine uptake rates into bacterial carbon production rates requires the use of conversion factors (CFs) which must be empirically determined. Despite the empirical leucine-to-carbon CFs vary widely across environments very little is known about its potential controlling factors. We conducted a set of 10 surface seawater cultures experiments where the growth of the natural bacterial assemblage was promoted by filtration (removal of grazers) or by both filtration and dilution. Sampling stations were located between 30 ºN and 30 ºS, including the Atlantic, Pacific and Indian oceans. CFs varied from 0.13 to 1.47 Kg C mol Leu-1, being higher in the filtrated than in the filtrated and diluted treatment. The abundance of picocyanobacteria explained 60% of the observed variability. Our results further suggest that the composition of bacterioplankton, as assessed by ARISA fingerprinting, may partially explain the observed variation in CFs
Sample dilution and bacterial community composition influence empirical leucine-to-carbon conversion factors in surface waters of the world's oceans
Research articleThe transformation of leucine incorporation into prokaryotic carbon production
rates requires the use of either theoretical or empirically determined conversion factors. Empirical leucine-to-carbon conversion factors (eCFs) vary widely across
environments, and little is known about their potential controlling factors. We
conducted 10 surface seawater manipulation experiments across the world’s oceans, where the growth of the natural prokaryotic assemblages was promoted by filtration (i.e.
removal of grazers; F treatment) or filtration combined with dilution (i.e. relieving also
resource competition; FD treatment). The impact of sunlight exposure was also
evaluated in the FD treatments, and we did not find a significant effect on the eCFs. The
eCFs varied from 0.09 to 1.47 kg C mol Leu-1 and were significantly lower in the
filtered and diluted (FD) than in the filtered (F) treatments. Also, changes in bacterial
community composition during the incubations, as assessed by Automated Ribosomal
Intergenic Spacer Analysis (ARISA), were stronger in the FD than in the F treatments,
as compared to unmanipulated controls. Thus, we discourage the common procedure of
diluting samples (in addition to filtration) for eCFs determination. The eCFs in the
filtered treatment were negatively correlated with the initial chlorophyll a concentration,
picocyanobacterial abundance (mostly Prochlorococcus) and the percentage of heterotrophic prokaryotes with high nucleic acid content (%HNA). The latter two
variables explained 80% of the eCFs variability in the F treatment, supporting the view
that both Prochlorococcus and HNA prokaryotes incorporate leucine in substantial
amounts although resulting into relatively low carbon production rates in the oligotrophic ocean.En prensa3,829
Application of advanced (S)TEM methods for the study of nanostructured porous functional surfaces: A few working examples
Nanostructured films offer the ability of modifying surface properties, even more, when they can generate layers with controlled porosity. The lower implicit integrity of these (multi)layers when compared to their compact counterparts, hinders the attainment of electron-transparent sections of submicron thicknesses (lamellae), which becomes one of the main reason for the scarcity of studies thorough (scanning-)transmission electron microscopy ((S)TEM). Aware of this opportunity, this report provides an overview of the possibilities offered by the application of a variety of (S)TEM techniques for the study of nanostructured and porous photonic surfaces. A few working examples are presented to illustrate the type of information that can be obtained in the case of mesoporous films prepared either by at oblique angles physical processes as well as nitride nanowire arrays prepared by epitaxy methods. It will be demonstrated that this approach enables the realization of several pioneering works, which are essential to complete the characterization of such porosity-controlled coatings. Topics as diverse as the preparation of electron-transparent specimens and the advanced characterization of their structures, morphologies, interfaces and compositions are addressed thanks to the implementation of new breakthroughs in (S)TEM, which allow to obtain high-resolution imaging, spectroscopies, or tomography, at both microscopic and nanoscopic levels. Finally, establishing (S)TEM as a reference tool for the advanced structural, chemical and morphological characterization of porous nanostructured skins, will open new horizons, providing better and new insights and thus allowing the optimization of the fabrication and design of such architectures
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A dietary feedback system for the delivery of consistent personalized dietary advice in the web-based multicenter Food4Me study
Background: Despite numerous healthy eating campaigns, the prevalence of diets high in saturated fatty acids, sugar, and salt and low in fiber, fruit, and vegetables remains high. With more people than ever accessing the Internet, Web-based dietary assessment instruments have the potential to promote healthier dietary behaviors via personalized dietary advice.
Objective: The objectives of this study were to develop a dietary feedback system for the delivery of consistent personalized dietary advice in a multicenter study and to examine the impact of automating the advice system.
Methods: The development of the dietary feedback system included 4 components: (1) designing a system for categorizing
nutritional intakes; (2) creating a method for prioritizing 3 nutrient-related goals for subsequent targeted dietary advice; (3)
constructing decision tree algorithms linking data on nutritional intake to feedback messages; and (4) developing personal feedback
reports. The system was used manually by researchers to provide personalized nutrition advice based on dietary assessment to 369 participants during the Food4Me randomized controlled trial, with an automated version developed on completion of the study.
Results: Saturated fatty acid, salt, and dietary fiber were most frequently selected as nutrient-related goals across the 7 centers.
Average agreement between the manual and automated systems, in selecting 3 nutrient-related goals for personalized dietary
advice across the centers, was highest for nutrient-related goals 1 and 2 and lower for goal 3, averaging at 92%, 87%, and 63%,
respectively. Complete agreement between the 2 systems for feedback advice message selection averaged at 87% across the centers.
Conclusions: The dietary feedback system was used to deliver personalized dietary advice within a multi-country study. Overall, there was good agreement between the manual and automated feedback systems, giving promise to the use of automated systems
for personalizing dietary advice
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