Subjective well-being and school satisfaction in adolescence : putting indicators for their measurement to the test in Brazil, Chile and Spain

En este estudio se analiza la comparabilidad interlingüística e intercultural del bienestar subjetivo y la satisfacción escolar como componente de dicho bienestar durante la adolescencia, a partir de tres muestras, una de Brasil (n = 1588), una de Chile (n = 843) y una de España (n = 2900), de 12‑16 años de edad. Se adoptan como indicadores de bienestar subjetivo dos versiones del personal wellbeing index (PWI) de Cummins, Eckersley, van Pallant, Vugt y Misajon (2003), que lo evalúan por ámbitos, y una escala de ítem único sobre satisfacción general con la vida (overall life satisfaction [OLS]), y como indicadores subjetivos de satisfacción escolar, los seis ítems de satisfacción con distintos aspectos de la vida escolar utilizados por Casas, Baltatescu, Bertrán, González y Hatos (2013). Del PWI se utiliza la versión original (PWI7) y una versión ampliada con diez ítems (PWI10). Ambas versiones del PWI muestran un buen ajuste en los análisis factoriales confirmatorios realizados con las tres muestras agregadas. Mediante análisis de regresión múltiple y modelos de ecuaciones estructurales (MEE), se consideran y se discuten distintas opciones para estimar cuál sería el modelo con mejor comparabilidad respecto del bienestar subjetivo entre países al integrar la satisfacción escolar. Del análisis de los resultados, se aprecia que dos de los MEE multigrupo, que incluyen los seis ítems relativos a satisfacciones con aspectos de la vida escolar relacionados con una variable latente, que a su vez se relaciona con las variables latentes PWI7 y PWI10, muestran buena comparabilidad entre países. Los análisis de regresión múltiple indican que el indicador sintético de satisfacción con aspectos de la vida escolar que resulta más útil es “satisfacción con tu vida de estudiante”. Cuando se incluye este ítem, las consistencias internas tanto del PWI7 como del PWI10 mejoran y los respectivos MEE multigrupo de estas dos escalas psicométricas muestran que varianzas, covarianzas y regresiones resultan comparables entre los tres países, mientras que no son mediancomparables las medias de sus índices generales, probablemente debido a diferentes estilos de respuesta de los adolescentes de cada país.This paper studies the inter-linguistic and intercultural comparability of subjective wellbeing during adolescence, as well as school satisfaction as a component of this well-being, using samples of 12 to 16-year-old from Brazil (n=1588), Chile (n=843) and Spain (n=2900). As subjective well-being indicators, two versions of the PWI (Cummins, Eckersley, van Pallant, Vugt, and Misajon, 2003) were adopted, one measuring well-being with different life domains, a single-item scale on overall life satisfaction (OLS). The six items on satisfaction with different facets of the school life, used by Casas et al. (2013), were included as subjective indicators of school satisfaction. The original version of the PWI (PWI7) and a longer version with 10 items (PWI10) are used. Both versions show a good fit in Confirmatory Factor Analysis using the pooled sample. Using multiple regressions analysis and Structural Equations Modelling (SEM), different options are considered and analyzed in order to estimate the most appropriate model to compare subjective wellbeing cross-countries, with school satisfaction included. An analysis of the results indicates that two multi-group SEM, which include the six items on satisfaction with different facets of school life related to a latent variable, and also related to latent variables PWI7 and PWI10, respectively, show good comparability between countries. Multiple regression analysis suggests that the most useful synthetic indicator on satisfaction with school life is satisfaction with your life as student. When this item is included in PWI7 or PWI10, internal consistency of each of the scales (PWI8 and PWI11) improves, and the respective multi-group SEM of these two psychometric scales show that variances, covariances and regressions are comparable between the three studied countries. This was not the case with the overall mean indices, which is probably due to the different answering styles of adolescents in each country

Dynamic metabolic control: towards precision engineering of metabolism

Advances in metabolic engineering have led to the synthesis of a wide variety of valuable chemicals in microorganisms. The key to commercializing these processes is the improvement of titer, productivity, yield, and robustness. Traditional approaches to enhancing production use the “push–pull-block” strategy that modulates enzyme expression under static control. However, strains are often optimized for specific laboratory set-up and are sensitive to environmental fluctuations. Exposure to sub-optimal growth conditions during large-scale fermentation often reduces their production capacity. Moreover, static control of engineered pathways may imbalance cofactors or cause the accumulation of toxic intermediates, which imposes burden on the host and results in decreased production. To overcome these problems, the last decade has witnessed the emergence of a new technology that uses synthetic regulation to control heterologous pathways dynamically, in ways akin to regulatory networks found in nature. Here, we review natural metabolic control strategies and recent developments in how they inspire the engineering of dynamically regulated pathways. We further discuss the challenges of designing and engineering dynamic control and highlight how model-based design can provide a powerful formalism to engineer dynamic control circuits, which together with the tools of synthetic biology, can work to enhance microbial production

Prediction of Cellular Burden with Host--Circuit Models

Heterologous gene expression draws resources from host cells. These resources include vital components to sustain growth and replication, and the resulting cellular burden is a widely recognised bottleneck in the design of robust circuits. In this tutorial we discuss the use of computational models that integrate gene circuits and the physiology of host cells. Through various use cases, we illustrate the power of host-circuit models to predict the impact of design parameters on both burden and circuit functionality. Our approach relies on a new generation of computational models for microbial growth that can flexibly accommodate resource bottlenecks encountered in gene circuit design. Adoption of this modelling paradigm can facilitate fast and robust design cycles in synthetic biology

Flux-dependent graphs for metabolic networks

Cells adapt their metabolic fluxes in response to changes in the environment. We present a framework for the systematic construction of flux-based graphs derived from organism-wide metabolic networks. Our graphs encode the directionality of metabolic fluxes via edges that represent the flow of metabolites from source to target reactions. The methodology can be applied in the absence of a specific biological context by modelling fluxes probabilistically, or can be tailored to different environmental conditions by incorporating flux distributions computed through constraint-based approaches such as Flux Balance Analysis. We illustrate our approach on the central carbon metabolism of Escherichia coli and on a metabolic model of human hepatocytes. The flux-dependent graphs under various environmental conditions and genetic perturbations exhibit systemic changes in their topological and community structure, which capture the re-routing of metabolic fluxes and the varying importance of specific reactions and pathways. By integrating constraint-based models and tools from network science, our framework allows the study of context-specific metabolic responses at a system level beyond standard pathway descriptions

Functional genomics of the horn fly, Haematobia irritans (Linnaeus, 1758)

<p>Abstract</p> <p>Background</p> <p>The horn fly, <it>Haematobia irritans </it>(Linnaeus, 1758) (Diptera: Muscidae) is one of the most important ectoparasites of pastured cattle. Horn flies infestations reduce cattle weight gain and milk production. Additionally, horn flies are mechanical vectors of different pathogens that cause disease in cattle. The aim of this study was to conduct a functional genomics study in female horn flies using Expressed Sequence Tags (EST) analysis and RNA interference (RNAi).</p> <p>Results</p> <p>A cDNA library was made from whole abdominal tissues collected from partially fed adult female horn flies. High quality horn fly ESTs (2,160) were sequenced and assembled into 992 unigenes (178 contigs and 814 singlets) representing molecular functions such as serine proteases, cell metabolism, mitochondrial function, transcription and translation, transport, chromatin structure, vitellogenesis, cytoskeleton, DNA replication, cell response to stress and infection, cell proliferation and cell-cell interactions, intracellular trafficking and secretion, and development. Functional analyses were conducted using RNAi for the first time in horn flies. Gene knockdown by RNAi resulted in higher horn fly mortality (protease inhibitor functional group), reduced oviposition (vitellogenin, ferritin and vATPase groups) or both (immune response and 5'-NUC groups) when compared to controls. Silencing of ubiquitination ESTs did not affect horn fly mortality and ovisposition while gene knockdown in the ferritin and vATPse functional groups reduced mortality when compared to controls.</p> <p>Conclusions</p> <p>These results advanced the molecular characterization of this important ectoparasite and suggested candidate protective antigens for the development of vaccines for the control of horn fly infestations.</p

Multi-objective optimization framework to obtain model-based guidelines for tuning biological synthetic devices: an adaptive network case

Background: Model based design plays a fundamental role in synthetic biology. Exploiting modularity, i.e. using biological parts and interconnecting them to build new and more complex biological circuits is one of the key issues. In this context, mathematical models have been used to generate predictions of the behavior of the designed device. Designers not only want the ability to predict the circuit behavior once all its components have been determined, but also to help on the design and selection of its biological parts, i.e. to provide guidelines for the experimental implementation. This is tantamount to obtaining proper values of the model parameters, for the circuit behavior results from the interplay between model structure and parameters tuning. However, determining crisp values for parameters of the involved parts is not a realistic approach. Uncertainty is ubiquitous to biology, and the characterization of biological parts is not exempt from it. Moreover, the desired dynamical behavior for the designed circuit usually results from a trade-off among several goals to be optimized. Results: We propose the use of a multi-objective optimization tuning framework to get a model-based set of guidelines for the selection of the kinetic parameters required to build a biological device with desired behavior. The design criteria are encoded in the formulation of the objectives and optimization problem itself. As a result, on the one hand the designer obtains qualitative regions/intervals of values of the circuit parameters giving rise to the predefined circuit behavior; on the other hand, he obtains useful information for its guidance in the implementation process. These parameters are chosen so that they can effectively be tuned at the wet-lab, i.e. they are effective biological tuning knobs. To show the proposed approach, the methodology is applied to the design of a well known biological circuit: a genetic incoherent feed-forward circuit showing adaptive behavior. Conclusion: The proposed multi-objective optimization design framework is able to provide effective guidelines to tune biological parameters so as to achieve a desired circuit behavior. Moreover, it is easy to analyze the impact of the context on the synthetic device to be designed. That is, one can analyze how the presence of a downstream load influences the performance of the designed circuit, and take it into account.Research in this area is partially supported by Spanish government and European Union (FEDER-CICYT DPI2011-28112-C04-01, and DPI2014-55276-C5-1-R). Yadira Boada thanks grant FPI/2013-3242 of Universitat Politecnica de Valencia; Gilberto Reynoso-Meza gratefully acknowledges the partial support provided by the postdoctoral fellowship BJT-304804/2014-2 from the National Council of Scientific and Technologic Development of Brazil (CNPq) for the development of this work. We are grateful to Alejandra Gonzalez-Bosca for her collaboration on this topic while doing her Bachelor thesis, and to Dr. Jose Luis Pitarch from Universidad de Valladolid for his advise in algorithmic implementations and for proof reading the manuscript.Boada Acosta, YF.; Reynoso Meza, G.; Picó Marco, JA.; Vignoni, A. (2016). Multi-objective optimization framework to obtain model-based guidelines for tuning biological synthetic devices: an adaptive network case. BMC Systems Biology. 10:1-19. https://doi.org/10.1186/s12918-016-0269-0S11910ERASynBio. Next steps for european synthetic biology: a strategic vision from erasynbio. 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First order reversal curve Hall analysis of zero-field skyrmions on Pt/Co/Ta multilayers

COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPESCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQMagnetic skyrmions are non-trivial spin textures that resist external disturbances and are promising candidates for use in next generation spintronic devices. However, a major challenge in the realization of devices based on skyrmions is the stabilization533917COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPESCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQCOORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPESCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ001302950/2017-6436573/2018-0This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001. L S D and F B acknowledge support from CNPq Grant Nos. 302950/2017-6 and 436573/2018-0, respectively. The chilean authors