FORS – Swiss Centre of Expertise in the Social Sciences

Work on voice sciences over recent decades has led to a proliferation of acoustic parameters that are used quite selectively and are not always extracted in a similar fashion. With many independent teams working in different research areas, shared standards become an essential safeguard to ensure compliance with state-of-the-art methods allowing appropriate comparison of results across studies and potential integration and combination of extraction and recognition systems. In this paper we propose a basic standard acoustic parameter set for various areas of automatic voice analysis, such as paralinguistic or clinical speech analysis. In contrast to a large brute-force parameter set, we present a minimalistic set of voice parameters here. These were selected based on a) their potential to index affective physiological changes in voice production, b) their proven value in former studies as well as their automatic extractability, and c) their theoretical significance. The set is intended to provide a common baseline for evaluation of future research and eliminate differences caused by varying parameter sets or even different implementations of the same parameters. Our implementation is publicly available with the openSMILE toolkit. Comparative evaluations of the proposed feature set and large baseline feature sets of INTERSPEECH challenges show a high performance of the proposed set in relation to its size.

Our understanding of metabolism is undergoing a dramatic shift. Indeed, the efforts made towards elucidating the mechanisms controlling the major regulatory pathways are now being rewarded. At the molecular level, the crucial role of transcription factors is particularly well-illustrated by the link between alterations of their functions and the occurrence of major metabolic diseases. In addition, the possibility of manipulating the ligand-dependent activity of some of these transcription factors makes them attractive as therapeutic targets. The aim of this review is to summarize recent knowledge on the transcriptional control of metabolic homeostasis. We first review data on the transcriptional regulation of the intermediary metabolism, i.e., glucose, amino acid, lipid, and cholesterol metabolism. Then, we analyze how transcription factors integrate signals from various pathways to ensure homeostasis. One example of this coordination is the daily adaptation to the circadian fasting and feeding rhythm. This section also discusses the dysregulations causing the metabolic syndrome, which reveals the intricate nature of glucose and lipid metabolism and the role of the transcription factor PPARgamma in orchestrating this association. Finally, we discuss the molecular mechanisms underlying metabolic regulations, which provide new opportunities for treating complex metabolic disorders.

This paper aims to introduce multilevel logistic regression analysis in a simple and practical way. First, we introduce the basic principles of logistic regression analysis (conditional probability, logit transformation, odds ratio). Second, we discuss the two fundamental implications of running this kind of analysis with a nested data structure: In multilevel logistic regression, the odds that the outcome variable equals one (rather than zero) may vary from one cluster to another (i.e. the intercept may vary) and the effect of a lower-level variable may also vary from one cluster to another (i.e. the slope may vary). Third and finally, we provide a simplified three-step “turnkey” procedure for multilevel logistic regression modeling: -Preliminary phase: Cluster- or grand-mean centering variables-Step #1: Running an empty model and calculating the intraclass correlation coefficient (ICC)-Step #2: Running a constrained and an augmented intermediate model and performing a likelihood ratio test to determine whether considering the cluster-based variation of the effect of the lower-level variable improves the model fit-Step #3 Running a final model and interpreting the odds ratio and confidence intervals to determine whether data support your hypothesis Command syntax for Stata, R, Mplus, and SPSS are included. These steps will be applied to a study on Justin Bieber, because everybody likes Justin Bieber.1

There are many systematic reviews on social capital (SC) and various health outcomes, but each of these reviews shows one piece of the larger SC and health puzzle. The aim of this research was to systematically review systematic reviews on SC and health, in order to provide an overview of existing evidence and to identify strategies for future research. Nine databases were searched for key words that could fall under the broad umbrella of SC and health outcomes. We screened 4941 titles and abstracts and read 187 reviews before retaining 20 of them. A critical appraisal of each review was conducted. The reviews show there is good evidence to suggest that SC predicts better mental and physical health, and indicators of SC are protective against mortality. At the same time, many reviews also found numerous non-significant and negative relationships that are important to consider. It was unclear whether SC interventions for health were really improving SC, or other aspects of the social environment. Overall, this research shows that evidence on how various aspects of SC affect different health outcomes for different actors remains unclear. Intergroup and lifecourse perspectives could help clarify this link. Future research could benefit from conceptualizing the link between SC and health in a what, who, where, when, why and how framework.

The incremental value of character strengths in the prediction of resilience, after the effects of other well-known resilience-related factors (i.e. positive affect, self-efficacy, optimism, social support, self-esteem, life satisfaction) and sociodemographic variables are accounted for, is examined. Using a cross-sectional design, participants (N = 363 adults) completed online measures of character strengths, resilience, and resilience-related factors. A principal component analysis of character strengths was conducted and five factors were extracted, which could be interpreted as emotional, interpersonal, intellectual, restraint, and theological strengths. All strengths factors, except theological strengths, yielded significant positive correlations with resilience. A hierarchical regression showed that strengths predicted an additional 3% of the variance in resilience over and above sociodemographic variables, positive affect, self-efficacy, optimism, social support, self-esteem, and life satisfaction. Emotional strengths and strengths of restraint were significant positive predictors. Implications, limitations, and future research are discussed.

To systematically explore complex genetic interactions, we constructed ~200,000 yeast triple mutants and scored negative trigenic interactions. We selected double-mutant query genes across a broad spectrum of biological processes, spanning a range of quantitative features of the global digenic interaction network and tested for a genetic interaction with a third mutation. Trigenic interactions often occurred among functionally related genes, and essential genes were hubs on the trigenic network. Despite their functional enrichment, trigenic interactions tended to link genes in distant bioprocesses and displayed a weaker magnitude than digenic interactions. We estimate that the global trigenic interaction network is ~100 times as large as the global digenic network, highlighting the potential for complex genetic interactions to affect the biology of inheritance, including the genotype-to-phenotype relationship.

The Career Adapt-Abilities Scale (CAAS) has become one of the most widely used questionnaires to assess career adaptability. To facilitate its integration into large surveys, in varied settings, the aim of this article was to develop a brief 12-item version, the Career Adapt-Abilities Scale–Short Form (CAAS-SF). A sample of 2,800 French- and German-speaking adults living in Switzerland completed the CAAS. On a first random subsample, a principal component analyses conducted on the CAAS-SF suggested a four-factor solution. A one-to-one association was found between these components and the subscales of the CAAS-SF. Confirmatory factor analyses, conducted on a second random subsample, confirmed the hierarchical factor structure of this short version. Based on Cheung and Rensvold’s criteria, the CAAS-SF reached measurement equivalence across linguistic and gender groups. Furthermore, the 12- and 24-item versions were strongly associated. The results supported the CAAS-SF as pertinent and economical alternative to the 24-item version.

scholarly journal. Its focus is social science research on computer-mediated communication via the Internet, the World Wide Web, and wireless technologies. Within that general purview, the journal is broadly interdisciplinary, publishing work by scholars in communication, business, education, political science, sociology, media studies, information science, and other disciplines. JCMC is one of the oldest web-based Internet studies journals in existence, having been published quarterly continuously since June 1995. Today JCMC is widely read and cited by CMC scholars around the world. In 2004, JCMC became an official journal of the International Communication Association. The acceptance rate (with minor revisions) in 2004 was 15%; an additional 30 % of submissions were invited to be revised and resubmitted. The idea of integrating users into a co-design process as part of a mass customization strategy is a promising approach for companies being forced to react to the growing individualization of demand. Compared to the rather huge amount of literature on manufacturing and information systems for mass customization, only little research discusses the role of the customer within the co-design process. Customers face new uncertainties and risks, coined “mass confusion ” in this paper, when acting as co-designers. Building on a construction strategy of empirical

This paper starts with a short review of the growing literature on the topic of older migrants, particularly in relation to this population’s diversity, social vulnerability, loneliness, (transnational) care and support networks. It then introduces the collection of papers of this special issue by proposing an approach to studying older migrants as social actors who develop strategies to surpass vulnerabilities. Older migrants mobilise their resources while taking into account structural opportunities and restrictions from the meso and macro levels. Hence their strategies are placed at the intersection between family obligations and resources, social networks, and migration and care regimes. Such an interdisciplinary and multi-level model acknowledges the heterogeneity of older migrants. The paper concludes with a discussion of the research results that have implications for policies targeting the growing population of older migrants.

INTRODUCTION: The Coronavirus disease-19 (COVID-19) pandemic affected countries worldwide and has changed peoples' lives. A reduction in physical activity and increased mental health problems were observed, mainly in the first year of the COVID-19 pandemic. Thus, this systematic review aims to examine the association between physical activity and mental health during the first year of the COVID-19 pandemic. METHODS: In July 2021, a search was applied to PubMed, Scopus, and Web of Science. Eligibility criteria included cross-sectional, prospective, and longitudinal study designs and studies published in English; outcomes included physical activity and mental health (e.g., depressive symptoms, anxiety, positive and negative effects, well-being). RESULTS: Thirty-one studies were included in this review. Overall, the studies suggested that higher physical activity is associated with higher well-being, quality of life as well as lower depressive symptoms, anxiety, and stress, independently of age. There was no consensus for the optimal physical activity level for mitigating negative mental symptoms, neither for the frequency nor for the type of physical activity. Women were more vulnerable to mental health changes and men were more susceptive to physical activity changes. CONCLUSION: Physical activity has been a good and effective choice to mitigate the negative effects of the COVID-19 pandemic on mental health during the first year of the COVID-19 pandemic. Public health policies should alert for possibilities to increase physical activity during the stay-at-home order in many countries worldwide.

Test–retest is a concept that is routinely evaluated during the validation phase of many measurement tools. However, this term covers at least two related but very different concepts: reliability and agreement. Reliability is the ability of a measure applied twice upon the same respondents to produce the same ranking on both occasions. Agreement requires the measurement tool to produce twice the same exact values. An analysis of research papers showed that the distinction between both concepts remains anything but clear, and that the current practice is to evaluate reliability only, generally on the basis of the sole Pearson’s correlation. This practice is very problematic in the context of longitudinal studies because it becomes difficult to determine whether a difference between two successive observations is attributable to a real change of the respondents or only to the characteristics of the measurement tool, which then leads to a possible misinterpretation of the results. More focus should be given on the real interpretation of linear correlation, and when agreement is required in addition to reliability, then correct alternative, such as the Bland–Altman plot, should be more generally used.

BACKGROUND: Area-based measures of socioeconomic position (SEP) suitable for epidemiological research are lacking in Switzerland. The authors developed the Swiss neighbourhood index of SEP (Swiss-SEP). METHODS: Neighbourhoods of 50 households with overlapping boundaries were defined using Census 2000 and road network data. Median rent per square metre, proportion households headed by a person with primary education or less, proportion headed by a person in manual or unskilled occupation and the mean number of persons per room were analysed in principle component analysis. The authors compared the index with independent income data and examined associations with mortality from 2001 to 2008. RESULTS: 1.27 million overlapping neighbourhoods were defined. Education, occupation and housing variables had loadings of 0.578, 0.570 and 0.362, respectively, and median rent had a loading of -0.459. Mean yearly equivalised income of households increased from SFr42 000 to SFr72 000 between deciles of neighbourhoods with lowest and highest SEP. Comparing deciles of neighbourhoods with lowest to highest SEP, the age- and sex-adjusted HR was 1.38 (95% CI 1.36 to 1.41) for all-cause mortality, 1.83 (95% CI 1.71 to 1.95) for lung cancer, 1.48 (95% CI 1.44 to 1.51) for cardiovascular diseases, 2.42 (95% CI 1.94 to 3.01) for traffic accidents, 0.93 (95% CI 0.85 to 1.02) for breast cancer and 0.86 (95% CI 0.78 to 0.95) for suicide. CONCLUSIONS: Developed using a novel approach to define neighbourhoods, the Swiss-SEP index was strongly associated with household income and some causes of death. It will be useful for clinical- and population-based studies, where individual-level socioeconomic data are often missing, and to investigate the effects on health of the socioeconomic characteristics of a place.

In endocytosis, scaffolding is one of the mechanisms to create membrane curvature by moulding the membrane into the spherical shape of the clathrin cage. However, the impact of membrane elastic parameters on the assembly and shape of clathrin lattices has never been experimentally evaluated. Here, we show that membrane tension opposes clathrin polymerization. We reconstitute clathrin budding in vitro with giant unilamellar vesicles (GUVs), purified adaptors and clathrin. By changing the osmotic conditions, we find that clathrin coats cause extensive budding of GUVs under low membrane tension while polymerizing into shallow pits under moderate tension. High tension fully inhibits polymerization. Theoretically, we predict the tension values for which transitions between different clathrin coat shapes occur. We measure the changes in membrane tension during clathrin polymerization, and use our theoretical framework to estimate the polymerization energy from these data. Our results show that membrane tension controls clathrin-mediated budding by varying the membrane budding energy.

Empathy and empathy-related processes, such as compassion and personal distress, are recognized to play a key role in social relations. This review examines the role of empathy in interpersonal and intergroup relations, including intractable conflicts. Despite the limitations of empathy, there is growing evidence that empathy and compassion are associated with more prosocial behavior in interpersonal relations. Furthermore, empathy and compassion have been associated with more favorable attitudes and higher readiness for reconciliation across a range of intergroup settings. This review ends by summarizing recent evidence for the beneficial effects of compassion training on interpersonal and intergroup relations and by outlining new avenues for future research on how compassion training could reduce intergroup conflicts.

The enduring electoral success of populist parties across Europe and the increasing opportunities they have gained to access government in recent years bring once more into relief the question of whether populism and democracy are fully compatible. In this article we show how, despite playing different roles in government within very different political systems, and despite the numerous constraints placed upon them (for instance, EU membership, international law and domestic checks and balances), populist parties consistently pursued policies that clashed with fundamental tenets of liberal democracy. In particular, the idea that the power of the majority must be limited and restrained, the sanctity of individual rights and the principle of the division of powers have all come under threat in contemporary Europe. This has contributed to the continuing erosion of the liberal consensus, which has provided one of the fundamental foundations of the European project from its start.

Interest in the study of vulnerability has experienced impressive growth across various disciplines. To contribute to this major but scattered development in the study of vulnerability, this article argues for a multidisciplinary life-course framework. This framework promotes a systemic and dynamic perspective focused on three complementary research directions: multidimensional, multilevel, and multidirectional. On the basis of this life course perspective, the authors also propose a definition of vulnerability as a dynamic process of stress and resources across various domains of life (i.e., work, family, health, migration, etc.), levels (i.e., person, group, collective), and time (i.e., long-term processes).

We present here a microfluidic device that generates sub-millimetric hollow hydrogel spheres, encapsulating cells and coated internally with a layer of reconstituted extracellular matrix (ECM) of a few microns thick. The spherical capsules, composed of alginate hydrogel, originate from the spontaneous instability of a multi-layered jet formed by co-extrusion using a coaxial flow device. We provide a simple design to manufacture this device using a DLP (digital light processing) 3D printer. Then, we demonstrate how the inner wall of the capsules can be decorated with a continuous ECM layer that is anchored to the alginate gel and mimics the basal membrane of a cellular niche. Finally, we used this approach to encapsulate human Neural Stem Cells (hNSC) derived from human Induced Pluripotent Stem Cells (hIPSC), which were further differentiated into neurons within the capsules with negligible loss of viability. Altogether, we show that these capsules may serve as cell micro-containers compatible with complex cell culture conditions and applications. These developments widen the field of research and biomedical applications of the cell encapsulation technology.

Character strengths are positive, morally valued traits of personality. This study aims at assessing the relationship between character strengths and subjective well-being (i.e., life satisfaction, positive and negative affect) in a representative sample of German-speaking adults living in Switzerland (N = 945). We further test whether this relationship is consistent at different stages in life. Results showed that hope, zest, love, social intelligence and perseverance yielded the highest positive correlations with life satisfaction. Hope, zest, humor, gratitude and love presented the highest positive correlations with positive affect. Hope, humor, zest, honesty, and open-mindedness had the highest negative correlations with negative affect. When examining the relationship between strengths and well-being across age groups, in general, hope, zest and humor consistently yielded the highest correlations with well-being. Additionally, in the 27-36 years group, strengths that promote commitment and affiliation (i.e., kindness and honesty) were among the first five positions in the ranking of the relationship between strengths and well-being. In the 37-46 years group, in addition to hope, zest and humor, strengths that promote the maintenance of areas such as family and work (i.e., love, leadership) were among the first five positions in the ranking. Finally, in the 47-57 years group, in addition to hope, zest and humor, strengths that facilitate integration and a vital involvement with the environment (i.e., gratitude, love of learning) were among the first five positions in the ranking. This study partially supports previous findings with less representative samples on the association between character strengths and well-being, and sheds light on the relative importance of some strengths over others for well-being across the life span.

We developed a test that compares sequential measurements of a biomarker against previous readings performed on the same individual. A probability mass function expresses prior information on interindividual variations of intraindividual parameters. Then, the model progressively integrates new readings to more accurately quantify the characteristics of the individual. This Bayesian framework generalizes the two main approaches currently used in forensic toxicology for the detection of abnormal values of a biomarker. The specificity is independent of the number n of previous test results, with a model that gradually evolves from population-derived limits when n = 0 to individual-based cutoff thresholds when n is large. We applied this model to detect abnormal values in an athlete's steroid profile characterized by the testosterone over epitestosterone (T/E) marker. A cross-validation procedure was used for the estimation of prior densities as well as model validation. The heightened sensitivity/specificity relation obtained on a large data set shows that longitudinal monitoring of an athlete's steroid profile may be used efficiently to detect the abuse of testosterone and its precursors in sports. Mild assumptions make the model interesting for other areas of forensic toxicology.

In eukaryotic cells, membrane compartments are split into two by membrane fission. This ensures discontinuity of membrane containers and thus proper compartmentalization. The first proteic machinery implicated in catalyzing membrane fission was dynamin. Dynamin forms helical collars at the neck of endocytic buds. This structural feature suggested that the helix of dynamin could constrict in order to promote fission of the enclosed membrane. However, verifying this hypothesis revealed itself to be a challenge, which inspired many in vitro and in vivo studies. The primary goal of this review is to discuss recent structural and physical data from biophysical studies that have refined our understanding of the dynamin mechanism. In addition to the constriction hypothesis, other models have been proposed to explain how dynamin induces membrane fission. We present experimental data supporting these various models and assess which model is the most probable.