The contribution of ergonomics to risk analysis in the design process: the case of a future control room

The aim of this paper is to highlight how ergonomics contributes to risk analysis and risk management in a design project for a new reactor, the French EPR (European Pressurized Reactor). An iterative ergonomics design process has been conducted over the last 10 years through a Human Factors Engineering program at the French energy company EDF. A parallel has been drawn between a risk management process and this ergonomics process based on International Organization for Standardization (ISO) publications such as ISO/IEC Guide 73, ISO Guide 51, etc. The contribution of ergonomics to risk analysis is illustrated by an example: the automatic diagnosis, which is a very important technical device for safety. Five main types of risk have been identified via ergonomic analyses during the different design stages. Counter-measures have been implemented and their efficacy tested within the scope of new campaigns to assess human factors. However, the management of risks in such a design project requires the participation both of the different design entities involved in the project and of other experts in aspects of risk management, such as human reliability. The organization of collaborative participation remains a challenge to be addressed.     

Complex Latent Variable Modeling in Educational Assessment

Bayesian item response theory models have been widely used in different research fields. They support measuring constructs and modeling relationships between constructs, while accounting for complex test situations (e.g., complex sampling designs, missing data, heterogenous population). Advantages of this flexible modeling framework together with powerful simulation-based estimation techniques are discussed. Furthermore, it is shown how the Bayes factor can be used to test relevant hypotheses in assessment using the College Basic Academic Subjects Examination (CBASE) data.     

Singularity and Autoregressive Disturbances in Linear Logit Models

The implications of including autoregressive disturbances in linear logit models of demand systems are explored. It is argued that the normality assumption of the error terms is more appropriate in the linear logit model than in a share equation model with additive disturbances (commonly found in the literature). Autoregressive disturbances and their implications for model estimation are discussed in that context. Both theoretical arguments and empirical evidence are presented in favor of the logit specification given the presence of serial correlation.     

East Asian childbearing patterns and policy developments

Childbearing behavior in East Asian countries has changed rapidly during the past half century from an average of five to seven children per family, to replacement-level fertility, and subsequently to unprecedentedly low levels, the lowest in the world. This article analyzes fertility trends in Hong Kong, Japan, singapore, south Korea, and Taiwan using cohort fertility data and methods, then examines social and economic causes of the childbearing trends, and surveys policies pursued to reverse the fertility trends. Postponement of childbearing started in the 1970s with continuously fewer delayed births being "recuperated," which resulted in ultra-low fertility. A rapid expansion of education and employment among women in a patriarchal environment has generated a stark dilemma for women who would like to combine childbearing with a career. Policy responses have been slow, with a more serious attempt to address issues in recent years. Thus far public and private institutions are not devoting sufficient attention to generating broad social change supportive of parenting.     

Faire œuvre commune. Dynamiques d'attribution et de valorisation des coproductions en art numérique

By bringing together various parties and multidisciplinary contributions, digitalized art parcelizes the act of creation with, as a consequence, various ways for referring to the “work” of art. The outcome of this joint, polyphonic production process might be a piece of software, separate from the work itself, or an artwork, which might or might not incorporate the computer program. What arrangements ultimately redistribute these multicentric externalities between the cooperating parties? How are the results of this coordination exploited depending on the market (academic or industrial) of destination? By emphasizing the arrangements necessary for finishing a co-production whose social career is described, this article draws attention to the changes introduced through digitalized innovations and explains the new arrangements for giving credits and promoting partnerships between art, science and technology.     

COMPETITIVE INDUSTRY EQUILIBRIUM UNDER UNCERTAINTY AND FREE ENTRY

This paper investigates the properties of industry equilibrium under price uncertainty given free entry and exit. For any form of risk-averse behavior, it is shown that an increase in demand uncertainty (as measured by a mean-preserving spread) increases mean output price and reduces output of firms in long-run equilibrium.     

Interne und externe Coachings in Unternehmen

When organizations employ coaching as an instrument for personnel development, the question arises whether they should opt to engage internal or external consultants. In a first step, this article identifies the characteristics of internal and external coaches by means of a series of criteria. It then goes on to discuss the factors which influence the suitability of choice between an internal or external coach at the level of the organization, in terms of the coachee and in terms of the coach. It becomes apparent that there is a situational consideration of the advantages and disadvantages. The article concludes with an actual example which demonstrates possibilities to combine the advantages of internal and external coaching.     

Huntington's disease

In this case study, we describe the symptoms, neurological exam, neuropsychological test results, and brain pathology of a man who died with Huntington's disease (HD). HD is a rare neurodegenerative disease. Like other movement disorders involving the basal ganglia, HD affects motor, cognitive, and psychiatric functioning. The disease follows an autosomal dominant pattern of inheritance, with onset of symptoms most commonly occurring in the late 30s or early 40s, as in this patient. HD is caused by an unstable expansion of the trinucleotide CAG, coding for glutamine, on chromosome 4. Despite knowledge of the gene mutation responsible for HD, no definitive treatment is currently available to slow or halt progression of the disease. However, symptomatic treatment can significantly improve the quality of life for patients with HD.     

On multivariate quantile regression analysis

This paper investigates the estimation of parameters in a multivariate quantile regression model when the investigator wants to evaluate the associated distribution function. It proposes a new directional quantile estimator with the following properties: (1) it applies to an arbitrary number of random variables; (2) it is equivalent to estimating the distribution function allowing for non-convex distribution contours; (3) it satisfies nice equivariance properties; (4) it has desirable statistical properties (i.e., consistency and asymptotic normality); and (5) its implementation involves a modest computational burden: our proposed estimator can be obtained by solving parametric linear programming problems. As such, this paper expands the range of applications of quantile estimation for multivariate regression models.     

Multilevel modelling of survey data: impact of the two-level weights used in the pseudolikelihood

Approaches that use the pseudolikelihood to perform multilevel modelling on survey data have been presented in the literature. To avoid biased estimates due to unequal selection probabilities, conditional weights can be introduced at each level. Less-biased estimators can also be obtained in a two-level linear model if the level-1 weights are scaled. In this paper, we studied several level-2 weights that can be introduced into the pseudolikelihood when the sampling design and the hierarchical structure of the multilevel model do not match. Two-level and three-level models were studied. The present work was motivated by a study that aims to estimate the contributions of lead sources to polluting the interior floor dust of the rooms within dwellings. We performed a simulation study using the real data collected from a French survey to achieve our objective. We conclude that it is preferable to use unweighted analyses or, at the most, to use conditional level-2 weights in a two-level or a three-level model. We state some warnings and make some recommendations.