Numerical and experimental characterisation of polylactic acid (PLA) processed by additive manufacturing (AM): bending and tensile tests

In additive manufacturing (AM), one of the most popular procedures is material extrusion (MEX). The materials and manufacturing parameters used in this process have a significant impact on a printed product’s quality. The purpose of this work is to investigate the effects of infill percentage and filament orientation on the mechanical properties of printed structures. For this reason, the characterisation of polylactic acid (PLA) was done numerically using the finite element method and experimentally through mechanical tests. The experiments involved three-point bending and tensile tests. The results showed that mechanical performance is highly dependent on these processing parameters mainly when the infill percentage is less than 100%. The highest elastic modulus was exhibited for structures with filament align at 0◦ and 100% infill, while the lowest one was verified for specimen filament aligned at 0◦ and 30% infill. The results demonstrated that the process parameters have a significant impact on mechanical performance, particularly when the infill percentage is less than 100%. Structures with filament aligned at 0◦ and 100% infill showed the maximum elastic modulus, whereas specimens with filament oriented at 0◦ and 30% infill showed the lowest. The obtained numerical agreement indicated that an inverse method based only on the load–displacement curve can yield an accurate value for this material’s elastic modulus.National Innovation Agency (ANI) for MSc grant of Mariana Salgueiro nº POCI-01-0247- FEDER-039733 and Portuguese Foundations for Science and Technology. This project was co-financed by European Regional Development Fund (ERDF) through SI&IDT Projects in the framework of co-hosting—Competitiveness and Internationalisation Operational Programme (CIOP)—COMPETE 2020, Portugal 2020, with the National Innovation Agency (ANI) as the Intermediate Partner. Fabio Pereira acknowledges the Portuguese Foundation for Science and Technology, under the project UIDB/04033/2020. Mariana Salgueiro and Andrea Zille acknowledge the European Commission and the National Innovation Agency (ANI) for the financial support through the project “ARCHKNIT: Innovative smart textile interfaces for architectural applications”, Ref.: POCI-01-0247-FEDER-039733. This project was co-financed by European Regional Development Fund (ERDF) through SI&IDT Projects in the framework of co-hosting—Competitiveness and Internationalisation Operational Programme (CIOP)—COMPETE 2020, Portugal 2020, with the National Innovation Agency (ANI) as the Intermediate Partner. Nuno Dourado acknowledges FCT for the conceded financial support through the reference project UID/EEA/04436/2019 and “Programa bilateral de Portugal com a Tunísia”. Charii Fakher acknowledges the « Fondation pour la Recherche Scientifique” for the conceded financial support through “Programa bilateral de Portugal com a Tunísia”

A compositional link between rocky exoplanets and their host stars

Stars and planets both form by accreting material from a surrounding disk. Because they grow from the same material, theory predicts that there should be a relationship between their compositions. In this study, we search for a compositional link between rocky exoplanets and their host stars. We estimate the iron-mass fraction of rocky exoplanets from their masses and radii and compare it with the compositions of their host stars, which we assume reflect the compositions of the protoplanetary disks. We find a correlation (but not a 1:1 relationship) between these two quantities, with a slope of >4, which we interpret as being attributable to planet formation processes. Super-Earths and super-Mercuries appear to be distinct populations with differing compositions, implying differences in their formation processes.Comment: Authors' version of the manuscript. Published in Scienc

Procedure to determine the impact of the surface film resistance on the hygric properties of composite clay/fibre plasters

International audienc

Evaluation of Jackknife and Bootstrap for Defining Confidence Intervals for Pairwise Agreement Measures

Several research fields frequently deal with the analysis of diverse classification results of the same entities. This should imply an objective detection of overlaps and divergences between the formed clusters. The congruence between classifications can be quantified by clustering agreement measures, including pairwise agreement measures. Several measures have been proposed and the importance of obtaining confidence intervals for the point estimate in the comparison of these measures has been highlighted. A broad range of methods can be used for the estimation of confidence intervals. However, evidence is lacking about what are the appropriate methods for the calculation of confidence intervals for most clustering agreement measures. Here we evaluate the resampling techniques of bootstrap and jackknife for the calculation of the confidence intervals for clustering agreement measures. Contrary to what has been shown for some statistics, simulations showed that the jackknife performs better than the bootstrap at accurately estimating confidence intervals for pairwise agreement measures, especially when the agreement between partitions is low. The coverage of the jackknife confidence interval is robust to changes in cluster number and cluster size distribution

Project goals, target selection, and stellar characterization

The detection of habitable worlds is one of humanitya-s greatest endeavors. Thus far, astrobiological studies have shown that one of the most critical components for allowing life to develop is liquid water. Its chemical properties and its capacity to dissolve and, hence, transport other substances makes this constituent a key piece in this regard. As a consequence, looking for life as we know it is directly related to the search for liquid water. For a remote detection of life in distant planetary systems, this essentially means looking for planets in the so-called habitable zone. In this sense, K-dwarf stars are the perfect hosts to search for planets in this range of distances. Contrary to G-dwarfs, the habitable zone is closer, thus making planet detection easier using transit or radial velocity techniques. Contrary to M-dwarfs, stellar activity is on a much smaller scale, hence, it has a smaller impact in terms of both the detectability and the true habitability of the planet. Also, K-dwarfs are the quietest in terms of oscillations, and granulation noise. In spite of this, there is a dearth of planets in the habitable zone of K-dwarfs due to a lack of observing programs devoted to this parameter space. In response to a call for legacy programs of the Calar Alto observatory, we have initiated the first dedicated and systematic search for habitable planets around these stars: K-dwarfs Orbited By habitable Exoplanets (KOBE). This survey is monitoring the radial velocity of 50 carefully pre-selected K-dwarfs with the CARMENES instrument over five semesters, with an average of 90 data points per target. Based on planet occurrence rates convolved with our detectability limits, we expect to find 1.68 ± 0.25 planets per star in the KOBE sample. Furthermore, in half of the sample, we expect to find one of those planets within the habitable zone. Here, we describe the motivations, goals, and target selection for the project as well as the preliminary stellar characterization. © 2022 EDP Sciences. All rights reserved

The EXPRES Stellar Signals Project II. State of the Field in Disentangling Photospheric Velocities

Measured spectral shifts due to intrinsic stellar variability (e.g., pulsations, granulation) and activity (e.g., spots, plages) are the largest source of error for extreme-precision radial-velocity (EPRV) exoplanet detection. Several methods are designed to disentangle stellar signals from true center-of-mass shifts due to planets. The Extreme-precision Spectrograph (EXPRES) Stellar Signals Project (ESSP) presents a self-consistent comparison of 22 different methods tested on the same extreme-precision spectroscopic data from EXPRES. Methods derived new activity indicators, constructed models for mapping an indicator to the needed radial-velocity (RV) correction, or separated out shape- and shift-driven RV components. Since no ground truth is known when using real data, relative method performance is assessed using the total and nightly scatter of returned RVs and agreement between the results of different methods. Nearly all submitted methods return a lower RV rms than classic linear decorrelation, but no method is yet consistently reducing the RV rms to sub-meter-per-second levels. There is a concerning lack of agreement between the RVs returned by different methods. These results suggest that continued progress in this field necessitates increased interpretability of methods, high-cadence data to capture stellar signals at all timescales, and continued tests like the ESSP using consistent data sets with more advanced metrics for method performance. Future comparisons should make use of various well-characterized data sets—such as solar data or data with known injected planetary and/or stellar signals—to better understand method performance and whether planetary signals are preserved

Melhoramento do sobreiro para uma regeneração artificial sustentável

O sobreiro (Quercus suber) é uma espécie singular devido à sua importância no funcionamento do ecossistema mediterrânico e na produção de cortiça. No entanto, apesar da sua importância ecológica e sócio-económica, pouco se compreende ainda dos seus processos de adaptabilidade às diferentes condições ambientais. Em algumas áreas do mediterrâneo ocidental, as florestas de sobreiro encontram-se em declínio e a manutenção destes ecossistemas requer a compreensão do seu funcionamento (e.g. regeneração, crescimento e interações entre hospedeiro e pragas/doenças). Para além de uma crescente redução da área de floresta, o sobreiro apresenta geralmente uma reduzida regeneração natural. Nos últimos anos, largas áreas de sobreiro foram reflorestadas no entanto, a regeneração artificial, quer por sementeira quer por plantação, obteve resultados variáveis com baixas taxas de sobrevivência. Apesar da necessidade de melhorar o manuseamento das sementes e das técnicas de produção e plantação ser geralmente reconhecida pelos proprietários florestais, a utilização de material genético adequado é quase sempre ignorada. De forma a dar resposta a alguns destes problemas está em curso o projeto PTDC/AGR-AAM/104364/2008: Melhoramento do sobreiro para uma regeneração artificial sustentável, que tem como principal objetivo melhorar a qualidade genética e fisiológica do material reprodutivo de sobreiro usado nas arborizações, focando-se em três aspetos essenciais: adaptabilidade da espécie, armazenamento da semente a longo prazo e produção de semente. Este é um trabalho multidisciplinar onde se integram os resultados de várias perspetivas – ecofisiológica, genética quantitativa e biologia molecular – de forma a compreender as suas interações e avaliar a plasticidade fenotípica, particularmente em condições de secura, contribuindo para ajustar os limites das regiões de proveniência e definir zonas de transferência de sementes

Depression in medical students: insights from a longitudinal study

Background: Factors associated with depression of medical students are poorly understood. The purpose of this study is to determine the prevalence of depression in medical students, its change during the course, if depression persists for affected students, what are the factors associated with depression and how these factors change over time. Methods: A prospective, longitudinal observational study was conducted at the Medical School of the University of Minho, Portugal, between academic years 2009-2010 to 2012-2013. We included students who maintained their participation by annually completing a questionnaire including Beck Depression Inventory (BDI). Anxiety and burnout were assessed using the State Trait Anxiety Inventory and Maslach Burnout Inventory. Surveys on socio-demographic variables were applied to evaluate potential predictors, personal and academic characteristics and perceived difficulties. ANOVA with multiple comparisons were used to compare means of BDI score. The medical students were organized into subgroups by K-means cluster analyses. ANOVA mixed-design repeated measurement was performed to assess a possible interaction between variables associated with depression. Results: The response rate was 84, 92, 88 and 81% for academic years 2009-2010, 2010-2011,2011-2012 and 2012/2013, respectively. Two hundred thirty-eight medical students were evaluated longitudinally. For depression the prevalence ranged from 21.5 to 12.7% (academic years 2009/2010 and 2012/2013). BDI scores decreased during medical school. 19.7% of students recorded sustained high BDI over time. These students had high levels of trait-anxiety and choose medicine for anticipated income and prestige, reported more relationship issues, cynicism, and decreased satisfaction with social activities. Students with high BDI scores at initial evaluation with low levels of trait-anxiety and a primary interest in medicine as a career tended to improve their mood and reported reduced burnout, low perceived learning problems and increased satisfaction with social activities at last evaluation. No difference was detected between men and women in the median BDI score over time. Conclusions: Our findings suggest that personal factors (anxiety traits, medicine choice factors, relationship patterns and academic burnout) are relevant for persistence of high levels of BDI during medical training. Medical schools need to identity students who experience depression and support then, as early as possible, particularly when depression has been present over time.info:eu-repo/semantics/publishedVersio