Emotion and Knowledge in Decision Making under Uncertainty

This paper presents four incentivised experiments analysing jointly the separate role of immediate integral emotions and knowledge in individual decision making under ambiguity. Reactions to a natural source of uncertainty (i.e., forthcoming real-world election results) were measured using both computed decision weights derived from individual choices and judgmental probabilities determined from the subjects\u2019 estimated likelihood of election outcomes. This study used self-reports to measure emotions aroused by the prospective election victory of a party/coalition of parties, and both self-assessed and actual competence to measure knowledge of politics. This paper found evidence of both preference for ambiguity in the gain domain and of likelihood insensitivity, namely the tendency to overweight unlikely events and to underweight likely events. This paper also shows that a superior knowledge of politics was associated with a preference for ambiguity (i.e., the elevation of the decision weighting function for gains). Both stronger positive emotions and superior knowledge generally have asymmetric eects on likelihood insensitivity (i.e., the curvature of the decision weighting function), each being associated separately with higher overweighting of unlikely election outcomes

Happiness, Life Satisfaction, Well-being: Survey Design and Response Analysis

Several well-established surveys ask questions in order to measure subjective well-being. In some questionnaires, questions relate to happiness, in others, to individual well-being or satisfaction or to both happiness and satisfaction. In the literature of happiness, several papers have compared responses to these questions using available national and international data. However, employed data sets make it hard to properly disentangle wordings or scale effects from other survey design or survey administration effects. For this reason, we design a single ad hoc survey in which we ask the same respondents to answer more than one well-being question. In addition, we use standardized scales across questions. We show that wording clearly matters: each subject self-reports her/his own happiness, life satisfaction, and well-being differently. We found that subjects do not perceive themselves as equivalent to one another and their determinants turn out to be different. Moreover, we find that the use of different scales leads to different results. However, the coefficients of the determinants across different notions of welfare and across different scales never reverse the sign

PALESTRA: Propostas de educação musical no Rio Grande do Sul 1977, 1978 e 1981

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Survey design and response analysis: a study on happiness, life satisfaction and well being in Piedmont region of Italy

In the literature of happiness economics individual subjective utility is measured by directly asking individuals to self-assess their level of utility, usually on a numerical scale, using various terms such as happiness, life satisfaction and well-being, most of the times taking for granted that they are synonymous. Despite the richness of happiness economics literature, several terminological and methodological issues still need to be investigated. This paper presents the results of a field survey conducted in the Region of Piedmont (Northern Italy) by means of 1250 face-to-face interviews, financed by Piedmont Government, in order to assess the level of happiness, life satisfaction and quality of life using three different scales: a verbal one (7 steps from, say, very unhappy to very happy, a unipolar cardinal scale (from 1 to 7) and bipolar cardinal scale (from -3 to 3). We have also examined the effects of wording and scales on those that turned out to be the main determinants of the three notions. We show that wording clearly matters: not only each subject (in most cases) self-reports differently her/his own happiness, life satisfaction and well-being and therefore they may be similar but not equivalent notions, but also their determinants turn out to be different. Moreover, we find that the use of different scales leads to different results. However, a clear pattern does not emerge: therefore we cannot state which numerical scale performs better in representing the verbal self-reported valuation

Características e controle da podridão "olho de boi" nas maçãs do sul do Brasil.

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Crescimento micelial e produção de conídios de Cryptosporiosis perennans, agente causal da mancha foliar da 'Gala', em diferentes meios de cultura.

Vários fatores interferem no crescimento micelial e produção de conídios para a correta identificação de espécies de Cryptosporiopsis perennans. Avaliou-se o crescimento micelial c a esporulação de conídios de 9 isolados (Embrapa I a 9) de C. perennans em 3 meio de cultura, BDA (Batata-dextrose-ágar), Extrato de Malte (malte) e V8 ágar sob regime de fotoperíodo de 12 horas.Resumo 286

Three-Dimensional Human iPSC-Derived Artificial Skeletal Muscles Model Muscular Dystrophies and Enable Multilineage Tissue Engineering

Summary: Generating human skeletal muscle models is instrumental for investigating muscle pathology and therapy. Here, we report the generation of three-dimensional (3D) artificial skeletal muscle tissue from human pluripotent stem cells, including induced pluripotent stem cells (iPSCs) from patients with Duchenne, limb-girdle, and congenital muscular dystrophies. 3D skeletal myogenic differentiation of pluripotent cells was induced within hydrogels under tension to provide myofiber alignment. Artificial muscles recapitulated characteristics of human skeletal muscle tissue and could be implanted into immunodeficient mice. Pathological cellular hallmarks of incurable forms of severe muscular dystrophy could be modeled with high fidelity using this 3D platform. Finally, we show generation of fully human iPSC-derived, complex, multilineage muscle models containing key isogenic cellular constituents of skeletal muscle, including vascular endothelial cells, pericytes, and motor neurons. These results lay the foundation for a human skeletal muscle organoid-like platform for disease modeling, regenerative medicine, and therapy development. : Maffioletti et al. generate human 3D artificial skeletal muscles from healthy donors and patient-specific pluripotent stem cells. These human artificial muscles accurately model severe genetic muscle diseases. They can be engineered to include other cell types present in skeletal muscle, such as vascular cells and motor neurons. Keywords: skeletal muscle, pluripotent stem cells, iPS cells, myogenic differentiation, tissue engineering, disease modeling, muscular dystrophy, organoid