Mixture of Maximal Quasi Orders: a new Approach to Preference Modelling

Normative theories suggest that inconsistencies be pointed out to the Decision Maker who is thus given the chance to modify his/her judgments. In this paper, we suggest that the inconsistencies problem be transferred from the Decision Maker to the Analyst. With the Mixture of Maximal Quasi Orders, rather than pointing out incoherences for the Decision Maker to change, these inconsistencies may be used as new source of information to model his/her preferences.     

Influence of water quality and habitat conditions on amphibian community metrics in rivers affected by urban activity

Urban Ecosystems - Anuran amphibians are highly dependent on aquatic ecosystems. Many amphibian species are exhibiting population declines primarily due to habitat destruction and water quality...     

Necessary Disruptions: A Discussion of Daniel Butler’s “Racialized Bodies and the Violence of the Setting”

This discussion of Daniel Butler’s article “Racialized Bodies and the Violence of the Setting” takes up the importance of the concept of place, largely through the lens of Frantz Fanon. It argues that being is best understood as being placed, emphasizing the necessity of material and historical setting for any ontological formation. Very tentatively, it advances a fragile hope that Whiteness is currently being placed in a way that can no longer be regarded as something universalized and invisible.     

Context‐Specific,Scenario‐Based Risk Scales

Reacting to an emergency requires quick decisions under stressful and dynamic conditions. To react effectively, responders need to know the right actions to take given the risks posed by the emergency. While existing research on risk scales focuses primarily on decision making in static environments with known risks, these scales may be inappropriate for conditions where the decision maker's time and mental resources are limited and may be infeasible if the actual risk probabilities are unknown. In this article, we propose a method to develop context‐specific, scenario‐based risk scales designed for emergency response training. Emergency scenarios are used as scale points, reducing our dependence on known probabilities; these are drawn from the targeted emergency context, reducing the mental resources required to interpret the scale. The scale is developed by asking trainers/trainees to rank order a range of risk scenarios and then aggregating these orderings using a Kemeny ranking. We propose measures to assess this aggregated scale's internal consistency, reliability, and validity, and we discuss how to use the scale effectively. We demonstrate our process by developing a risk scale for subsurface coal mine emergencies and test the reliability of the scale by repeating the process, with some methodological variations, several months later.     

Interdependent Network Recovery Games

Recovery of interdependent infrastructure networks in the presence of catastrophic failure is crucial to the economy and welfare of society. Recently, centralized methods have been developed to address optimal resource allocation in postdisaster recovery scenarios of interdependent infrastructure systems that minimize total cost. In real-world systems, however, multiple independent, possibly noncooperative, utility network controllers are responsible for making recovery decisions, resulting in suboptimal decentralized processes. With the goal of minimizing recovery cost, a best-case decentralized model allows controllers to develop a full recovery plan and negotiate until all parties are satisfied (an equilibrium is reached). Such a model is computationally intensive for planning and negotiating, and time is a crucial resource in postdisaster recovery scenarios. Furthermore, in this work, we prove this best-case decentralized negotiation process could continue indefinitely under certain conditions. Accounting for network controllers' urgency in repairing their system, we propose an ad hoc sequential game-theoretic model of interdependent infrastructure network recovery represented as a discrete time noncooperative game between network controllers that is guaranteed to converge to an equilibrium. We further reduce the computation time needed to find a solution by applying a best-response heuristic and prove bounds on ε-Nash equilibrium, where ε depends on problem inputs. We compare best-case and ad hoc models on an empirical interdependent infrastructure network in the presence of simulated earthquakes to demonstrate the extent of the tradeoff between optimality and computational efficiency. Our method provides a foundation for modeling sociotechnical systems in a way that mirrors restoration processes in practice.     

The heritage machine: the neoliberal order and the individualisation of identity in Maragatería (Spain)

Since the inception of modernity, minority and majority identities have been constructed in a twofold process involving the parallel generation of representations of difference and the obliteration of alterity, that is, of other modes of existence. The exacerbation of the modern period in the supermodern era has furthered this process, adapting it to the new forms of neoliberal and post-political governmentality. This is paralleled by a shift from real to symbolic and metacultural forms of interaction that serve to negotiate identity and hegemony in the social sphere. Heritage has become a fundamental trope for the negotiation of identity, access to resources and power, as its production is not anymore bounded to the State but is rather ‘dispersed’ in society. This article explores the way cultural heritage has become a ‘machine’ for the production of dominant and individualised identities interacting in a deregulated market environment in Maragatería (Spain).     

Bayesian acceptance sampling plans following economic criteria: An application to paper pulp manufacturing

The main purposes of this paper are to derive Bayesian acceptance sampling plans regarding the number of defects per unit of product, and to illustrate how to apply the methodology to the paper pulp industry. The sampling plans are obtained following an economic criterion: minimize the expected total cost of quality. It has been assumed that the number of defects per unit of product follows a Poisson distribution with process average 5 , whose prior information is described either for a gamma or for a non- informative distribution. The expected total cost of quality is composed of three independent components: inspection, acceptance and rejection. Both quadratic and step-loss functions have been used to quantify the cost incurred for the acceptance of a lot containing units with defects. Combining the prior information on 5 with the loss functions, four different sampling plans are obtained. When the quadratic-loss function is used, an analytical relation between the optimum settings of the sample size and the acceptance number is derived. The robustness analysis indicates that the sampling plans obtained are robust with respect to the prior distribution of the process average as well as to the misspecification of its mean and variance.     

Clinical and behavioral evaluation of pathological gambling in Barcelona,Spain

This paper assesses both the clinical characteristics and gambling behavior of 45 pathological gamblers (40 male, 5 female, average age 41) in a psychiatric hospital in Barcelona, Spain. These pathological gamblers tend to have other addictions and psychiatric disorders in addition to their pathological gambling. Suicidal ideation and attempts were one of the most frequent complications with these patients. Slot and fruit machines were found to be the most preferred form of gambling. Loans and crime were frequently used by the gambler to finance his or her gambling. Nevertheless, the gambler is rarely aggessive, and legal problems resulting from serious crimes are the exception. The profile presentes is similar to that found among pathological gamblers in other countries.     

Differences in Life Expectancy Between Self-Employed Workers and Paid Employees when Retirement Pensioners: Evidence from Spanish Social Security Records

European Journal of Population - The aim of this paper is to examine differences in life expectancy (LE) between self-employed (SE) and paid employee (PE) workers when they become retirement...     

Does the Hispanic Paradox in U.S. Adult Mortality Extend to Disability?

Studies consistently document a Hispanic paradox in U.S. adult mortality, whereby Hispanics have similar or lower mortality rates than non-Hispanic whites despite lower socioeconomic status. This study extends this line of inquiry to disability, especially among foreign-born Hispanics, since their advantaged mortality seemingly should be paired with health advantages more generally. We also assess whether the paradox extends to U.S.-born Hispanics to evaluate the effect of nativity. We calculate multistate life tables of life expectancy with disability to assess whether racial/ethnic and nativity differences in the length of disability-free life parallel differences in overall life expectancy. Our results document a Hispanic paradox in mortality for foreign-born and U.S.-born Hispanics. However, Hispanics’ low mortality rates are not matched by low disability rates. Their disability rates are substantially higher than those of non-Hispanic whites and generally similar to those of non-Hispanic blacks. The result is a protracted period of disabled life expectancy for Hispanics, both foreign- and U.S.-born.