Adolescent parents’ values: the role played by retrospective perceptions of the family-of-origin

Family-of-origin is an important system in individual’s lives, and its influence is extensive over the life cycle. The aim of this study was to investigate, in a sample of adolescents’ parents, whether their retrospective perceptions of parenting and relationship qualities within their families-of-origin during adolescence predicted their current collectivist and individualist values. Participants included 110 Portuguese adults with a mean age of 46.86 years old. The results of structural equation modeling supported that retrospective perceptions of parenting and relationship qualities in the family-of-origin predicted the adults’ collectivist values but not their individualist values. This study highlights the importance of retrospective perceptions of supporting and non-rejecting parenting for value acquisition. The results also suggest that values that preserve and protect family connections and collaborations are more likely to be socialized by families. Implications for practice and for the theories on parenting, values, family-of-origin influences and family intergenerational transmission are discussed.

Numerical modeling and assessment of the thermal environment in an industrial premise of automotive components

Dissertação de mestrado em Engenharia Industrial

Current Challenges in Modeling Cellular Metabolism

Mathematical and computational models play an essential role in understanding the cellular metabolism. They are used as platforms to integrate current knowledge on a biological system and to systematically test and predict the effect of manipulations to such systems. The recent advances in genome sequencing techniques have facilitated the reconstruction of genome-scale metabolic networks for a wide variety of organisms from microbes to human cells. These models have been successfully used in multiple biotechnological applications. Despite these advancements, modeling cellular metabolism still presents many challenges. The aim of this Research Topic is not only to expose and consolidate the state-of-the-art in metabolic modeling approaches, but also to push this frontier beyond the current edge through the introduction of innovative solutions. The articles presented in this e-book address some of the main challenges in the field, including the integration of different modeling formalisms, the integration of heterogeneous data sources into metabolic models, explicit representation of other biological processes during phenotype simulation, and standardization efforts in the representation of metabolic models and simulation results.