869 resultados para Sense
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Abstract: In this chapter, we first introduce the idea that emotions are evaluations. Next, we explore two approaches attempting to account for this idea in terms of attitudes that are alleged to become emotional when taking evaluative contents. According to the first approach, emotions are evaluative judgments. According to the second, emotions are perceptual experiences of evaluative properties. We explain why this theory remains unsatisfactory insofar as it shares with the evaluative judgement theory the idea that emotions are evaluations in virtue of their contents. We then outline an alternative – the attitudinal theory of emotions. It parts with current theorizing about the emotions in elucidating the fact that emotions are evaluations not in terms of what they represent, but in terms of the attitude subjects take towards what they represent. We explore what sorts of attitudes emotions are and claim that they are felt bodily attitudes.
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Despite over 30 years of research, the molecular mechanisms of nonsense-mediated mRNA decay (NMD) are still not well understood. NMD appears to exist in most eukaryotes and is intensively studied in S. cerevisiae, C. elegans, D. melanogaster and in mammalian cells. Current evidence suggests that the core of NMD – involving UPF1, UPF2 and UPF3 – is evolutionarily conserved, but that different species may have evolved slightly different ways to identify target mRNAs for NMD and to degrade them. Our lab has shown that the exon junction complex (EJC) is not absolutely required for NMD in human cells (Bühler et al., NSMB 2006) and that it is neither restricted to CBP80-bound mRNAs as classical models claim (Rufener & Mühlemann, NSMB 2013). Together with the finding that long 3’ UTRs often are an NMD-inducing feature (Eberle et al, PLoS Biol 2008; Yepiskoposyan et al., RNA 2011), our data is consistent with much of the data from other species and hence has led to a “unified” working model for NMD (Stalder & Mühlemann, Trends Cell Biol 2008; Schweingruber et al., Biochim Biophys Acta 2013). Our recent iCLIP experiments with endogenous UPF1 indicate that UPF1 binds mRNAs indiscriminately with respect to being an NMD target or not before they engage with ribosomes (Zünd et al., NSMB 2013). After onset of translation, UPF1 is cleared from the coding region but remains bound to the 3’ UTR of mRNAs. Why this 3’ UTR-associated in some cases induces NMD and in others not is currently being investigated and not yet understood. Following assembly of a phospho-UPF1-containing NMD complex, decay adaptors (SMG5, SMG7, PNRC2) and/or the endonuclease SMG6 are recruited. While the latter cleaves the mRNA in the vicinity of the termination codon, the former proteins induce deadenylation, decapping and exonucleolytic degradation of the mRNA. In my talk, I will give an overview about the latest developments in NMD – with a focus on our own work – and try to integrate the bits and pieces into a somewhat coherent working model.
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This longitudinal panel study investigated predictors of career adaptability development and its effect on development of sense of power and experience of life satisfaction among 330 Swiss eighth graders. A multivariate measure of career adaptability consisting of career choice readiness, planning, exploration, and confidence was applied. Based on Motivational Systems Theory four groups of predictors were assessed: positive emotional disposition, goal decidedness, capability beliefs and social context beliefs. Influence of gender, age, immigration background, parental educational level, and college-bound or vocational education plans were also assessed. Perceived social support and positive emotional disposition, non-immigration background, and continuing to vocational education were single significant predictors of more career adaptability development over the school year. Supporting the connection of career adaptability and positive youth development, increase in career adaptability over time predicted increase in sense of power and experience of life satisfaction.
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An essential function of innate immunity is to distinguish self from non-self and receptors have evolved to specifically recognize viral components and initiate the expression of antiviral proteins to restrict viral replication. Coronaviruses are RNA viruses that replicate in the host cytoplasm and evade innate immune sensing in most cell types, either passively by hiding their viral signatures and limiting exposure to sensors or actively, by encoding viral antagonists to counteract the effects of interferons. Since many cytoplasmic viruses exploit similar mechanisms of innate immune evasion, mechanistic insight into the direct interplay between viral RNA, viral RNA-processing enzymes, cellular sensors and antiviral proteins will be highly relevant to develop novel antiviral targets and to restrict important animal and human infections.
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BACKGROUND The process of neurite outgrowth is the initial step in producing the neuronal processes that wire the brain. Current models about neurite outgrowth have been derived from classic two-dimensional (2D) cell culture systems, which do not recapitulate the topographical cues that are present in the extracellular matrix (ECM) in vivo. Here, we explore how ECM nanotopography influences neurite outgrowth. METHODOLOGY/PRINCIPAL FINDINGS We show that, when the ECM protein laminin is presented on a line pattern with nanometric size features, it leads to orientation of neurite outgrowth along the line pattern. This is also coupled with a robust increase in neurite length. The sensing mechanism that allows neurite orientation occurs through a highly stereotypical growth cone behavior involving two filopodia populations. Non-aligned filopodia on the distal part of the growth cone scan the pattern in a lateral back and forth motion and are highly unstable. Filopodia at the growth cone tip align with the line substrate, are stabilized by an F-actin rich cytoskeleton and enable steady neurite extension. This stabilization event most likely occurs by integration of signals emanating from non-aligned and aligned filopodia which sense different extent of adhesion surface on the line pattern. In contrast, on the 2D substrate only unstable filopodia are observed at the growth cone, leading to frequent neurite collapse events and less efficient outgrowth. CONCLUSIONS/SIGNIFICANCE We propose that a constant crosstalk between both filopodia populations allows stochastic sensing of nanotopographical ECM cues, leading to oriented and steady neurite outgrowth. Our work provides insight in how neuronal growth cones can sense geometric ECM cues. This has not been accessible previously using routine 2D culture systems.
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We are confident of many of the judgements we make as to what sorts of alterations the members of nature’s kinds can survive, and what sorts of events mark the ends of their existences. But is our confidence based on empirical observation of nature’s kinds and their members? Conventionalists deny that we can learn empirically which properties are essential to the members of nature’s kinds. Judgements of sameness in kind between members, and of numerical sameness of a member across time, merely project our conventions of individuation. Our confidence is warranted because apart from those conventions there are no phenomena of kind-sameness or of numerical sameness across time. There is just “stuff” displaying properties. This paper argues that conventionalists can assign no properties to the “stuff” beyond immediate phenomenal properties. Consequently they cannot explain how each of us comes to be able to wield “our conventions”.
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This paper shows a physically cogent model for electrical noise in resistors that has been obtained from Thermodynamical reasons. This new model derived from the works of Johnson and Nyquist also agrees with the Quantum model for noisy systems handled by Callen and Welton in 1951, thus unifying these two Physical viewpoints. This new model is a Complex or 2-D noise model based on an Admittance that considers both Fluctuation and Dissipation of electrical energy to excel the Real or 1-D model in use that only considers Dissipation. By the two orthogonal currents linked with a common voltage noise by an Admittance function, the new model is shown in frequency domain. Its use in time domain allows to see the pitfall behind a paradox of Statistical Mechanics about systems considered as energy-conserving and deterministic on the microscale that are dissipative and unpredictable on the macroscale and also shows how to use properly the Fluctuation-Dissipation Theorem.
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Las fiestas de la llegada de la reliquia de san Pedro Pascual fueron en octubre de 1743
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The importance of vision-based systems for Sense-and-Avoid is increasing nowadays as remotely piloted and autonomous UAVs become part of the non-segregated airspace. The development and evaluation of these systems demand flight scenario images which are expensive and risky to obtain. Currently Augmented Reality techniques allow the compositing of real flight scenario images with 3D aircraft models to produce useful realistic images for system development and benchmarking purposes at a much lower cost and risk. With the techniques presented in this paper, 3D aircraft models are positioned firstly in a simulated 3D scene with controlled illumination and rendering parameters. Realistic simulated images are then obtained using an image processing algorithm which fuses the images obtained from the 3D scene with images from real UAV flights taking into account on board camera vibrations. Since the intruder and camera poses are user-defined, ground truth data is available. These ground truth annotations allow to develop and quantitatively evaluate aircraft detection and tracking algorithms. This paper presents the software developed to create a public dataset of 24 videos together with their annotations and some tracking application results.