Cognition and asynchronous distribution between human and machine building accidents

The creation of meaning in communication is a trading activity, resulting from the construction that is born of the interaction between subjects. That is, the meaning is not inherent to the relationship between words, signs and symbols that arise from negotiating a necessary and unavoidable. As the concepts of sense as discrete and static representations imply a notion of classical computing and design of a cognitive system corresponding conceptions of meaning construction as located and shared among agents implies notions of different computing and cognition. Several efforts have been developed to meet these demands. Among them are the Connectionism (also known as neural networks. Records on aspects of mental health and stress of flight professionals are present in the official reports of the organs of investigation of aviation accidents worldwide since its inception. Problems related to health physical and mental health of pilots (fatigue, stress, physiological and psychosocial problems) account for 19% of causal factors in aircraft accidents. The training seems a paradox when we know that these professionals receive regular training, have high education and technical training of high level. However, problems arise related to the implementation of learning that can be influenced to reduce their cognitive capacity, making it in practice, relatively unable to exercise its functions effectively and safely.     

State of the Art in Risk Analysis of Workforce Criticality Influencing Disaster Preparedness for Interdependent Systems

The objective of this article is to discuss a needed paradigm shift in disaster risk analysis to emphasize the role of the workforce in managing the recovery of interdependent infrastructure and economic systems. Much of the work that has been done on disaster risk analysis has focused primarily on preparedness and recovery strategies for disrupted infrastructure systems. The reliability of systems such as transportation, electric power, and telecommunications is crucial in sustaining business processes, supply chains, and regional livelihoods, as well as ensuring the availability of vital services in the aftermath of disasters. There has been a growing momentum in recognizing workforce criticality in the aftermath of disasters; nevertheless, significant gaps still remain in modeling, assessing, and managing workforce disruptions and their associated ripple effects to other interdependent systems. The workforce plays a pivotal role in ensuring that a disrupted region continues to function and subsequently recover from the adverse effects of disasters. With this in mind, this article presents a review of recent studies that have underscored the criticality of workforce sectors in formulating synergistic preparedness and recovery policies for interdependent infrastructure and regional economic systems.     

Data-driven stochastic inversion via functional quantization

In this paper, we propose a new methodology for solving stochastic inversion problems through computer experiments, the stochasticity being driven by a functional random variables. This study is motivated by an automotive application. In this context, the simulator code takes a double set of simulation inputs: deterministic control variables and functional uncertain variables. This framework is characterized by two features. The first one is the high computational cost of simulations. The second is that the probability distribution of the functional input is only known through a finite set of realizations. In our context, the inversion problem is formulated by considering the expectation over the functional random variable. We aim at solving this problem by evaluating the model on a design, whose adaptive construction combines the so-called stepwise uncertainty reduction methodology with a strategy for an efficient expectation estimation. Two greedy strategies are introduced to sequentially estimate the expectation over the functional uncertain variable by adaptively selecting curves from the initial set of realizations. Both of these strategies consider functional principal component analysis as a dimensionality reduction technique assuming that the realizations of the functional input are independent realizations of the same continuous stochastic process. The first strategy is based on a greedy approach for functional data-driven quantization, while the second one is linked to the notion of space-filling design. Functional PCA is used as an intermediate step. For each point of the design built in the reduced space, we select the corresponding curve from the sample of available curves, thus guaranteeing the robustness of the procedure to dimension reduction. The whole methodology is illustrated and calibrated on an analytical example. It is then applied on the automotive industrial test case where we aim at identifying the set of control parameters leading to meet the pollutant emission standards of a vehicle.     

Theorizing the lesbian hashtag: Identity,community, and the technological imperative to name the sexual self

This analysis integrates poststructuralist and symbolic interactionist approaches to the self by incorporating the insights of science and technology studies regarding categorization processes. While the advent of the Internet has freed many individuals from geographical constraints on community formation, the architectures of online platforms produce a technological imperative to name aspects of the self with words. Using sexual identity hashtags on Instagram (e.g., #lesbian) thus performs paradoxical functions: the hashtag both enables the construction of a sexual identity within an affirming community and also reinforces the power relations that compel individuals to name and account for their sexual selves. By illustrating one way sexual identities function in the online lives of young women, this research complicates other scholars' findings that the salience of sexual identity categories is decreasing.     

Romantic Partners' Contribution to the Continuity of Male and Female Delinquent and Violent Behavior

Using data drawn from the National Longitudinal Study of Adolescent Health (Add Health), this study examined males' and females' criminality in young adulthood with models that considered the associations of both their own past delinquency and their current partners' criminality. Specific models considered the main effects of both previous adolescent delinquency and violence and current opposite sex romantic partners' criminality and violence, as well as the interaction of these with each other and by sex of primary participant. Main effects for adolescent delinquency and partners' criminality were significant; however, the results of the interactions by sex suggest different patterns of results for males and females. Models run separately by sex showed that having a prior delinquent history predicted adult criminality for males but not for females, while being in a relationship with a criminal partner increased the odds of criminal behavior in young adulthood for both males and females. A different pattern of results was found for violence in young adulthood. Having a prior violent history predicted adult violence for males and females. However, being in a relationship with a violent partner increased the odds of violent behavior for females only.     

Analysis of adaptive directional stratification for the controlled estimation of rare event probabilities

In the context of structural reliability, a small probability to be assessed, a high computational time model and a relatively large input dimension are typical constraints which brought together lead to an interesting challenge. Indeed, in this framework many existing stochastic methods fail in estimating the failure probability with robustness.     

A descriptive study of some organizational-behavior dimensions at work in the Dominican Republic: implications for management development and training

Based in identity theory and the depletion hypothesis in the work-life literature, this study investigated dimensions of the meaning of work and work stress among mid-level managers in the United States, Brazil, and Korea. Findings include a high salience of work as a central life concern but a primacy of family involvement in each country. The importance of religious involvement, leisure activities, and community involvement was rated low. Intrinsic and extrinsic orientations to working were related to increased levels of work stress, but in each country the dimensions of work stress were associated with meaning of work aspects in different combinations and affected different demographic groups in different ways. The theoretical and practical implications of the findings imply the need for a differentiated understanding of the meaning of work dimensions in international settings and the awareness that increased levels of work stress can results from higher levels of work centrality and intrinsic and economic work orientations.