Propiedad y libertad: una crítica a la teoría de la justicia de Hume desde el pensamiento de Simone de Beauvoir y una respuesta humeana

David Hume and Simone de Beauvoir agree that human beings have a great deal of control over their moral and political lives, which is well captured in Hume’s assertion that “mankind is an inventive species”. But Hume argues that the most important thing needed to settle our social lives and determine justice is the agreement on rules of property, while Beauvoir thinks that the rules of property will never be enough to establish the best life, but rather that we should be focusing on freedom. In this article we reconstruct Hume’s argument for property, then develop a Beauvoirian critique of Hume that brings out the weakness of any theory of property that does not prevent inequalities of property from interfering with freedom. And then we give the last word to a Humean response to Beauvoir that would insist that there can be no freedom but only violence without rules of property, which she ignores. Both thinkers appeal to humanity as an overriding goal, and perhaps that is the way to reconcile the two: we need both property and freedom to achieve our humanity.David Hume y Simone de Beauvoir están de acuerdo en que los seres humanos tienen un grado muy importante de control sobre sus vidas morales y políticas; lo que está muy bien captado en la afirmación de Hume de que “la humanidad es una especie inventiva”. Pero Hume argumenta que lo más importante a la hora de constituir nuestras vidas sociales y establecer la justicia es el acuerdo sobre las reglas de la propiedad, mientras que Beauvoir piensa que las reglas de propiedad nunca serán suficientes para establecer la vida mejor, sino que más bien deberíamos centrarnos en la libertad. En este artículo reconstruimos el argumento de Hume a favor de la propiedad, para desarrollar después una crítica basada en la perspectiva de Simone de Beauvoir que saca a la luz la debilidad de cualquier teoría de la propiedad que no evite que las desigualdades de propiedad interfieran con la libertad, Y después damos la última palabra a una respuesta humeana a Beauvoir que insistiría en que no puede haber libertad –sino solo violencia- sin reglas de propiedad, algo que ella ignora. Ambos pensadores recurren a la humanidad como el objetivo predominante, y quizás esta es la forma de reconciliarlos: necesitamos tanto de la propiedad como de la libertad para lograr nuestra humanidad

Constitutional Foundations of the United States Navy

The article examines the attention the navy received during the debate over the ratification of the Constitution in 1787-1788.1 It rests on the normative supposition that naval personnel who have taken an oath to uphold the Constitution will have a serious interest in the organic connection between their chosen branch of military service and the document they are sworn to uphold

Modelling departure time and mode choice

As a result of increasing road congestion and road pricing, modelling the temporal response of travellers to transport policy interventions has rapidly emerged as a major issue in many practical transport planning studies. A substantial body of research is therefore being carried out to understand the complexities involved in modelling time of day choice. These models are contributing substantially to our understanding of how travellers make time-of-day decisions (Hess et al, 2004; de Jong et al, 2003). These models, however, tend to be far too complex and far too data intensive to be of use for application in large-scale modelling forecasting systems, where socio-economic detail is limited and detailed scheduling information is rarely available. Moreover, model systems making use of the some of the latest analytical structures, such as Mixed Logit, are generally inapplicable in practical planning, since they rely on computer-intensive simulation in application just as well as in estimation. The aim of this paper, therefore, is to describe the development of time-period choice models which are suitable for application in large-scale modelling forecasting systems. Large-scale practical planning models often rely on systems of nested logit models, which can incorporate many of the most important interactions that are present in the complex models but which have low enough run-times to allow them to be used for practical planning. In these systems, temporal choice is represented as the choice between a finite set of discrete alternatives, represented by mutually exclusive time-periods that are obtained by aggregation of the actual observed continuous time values. The issues that face modellers are then: -how should the time periods be defined, and in particular how long should they be? -how should the choices of time periods be related to each other, e.g. is the elasticity for shorter shifts greater than for longer shifts? -how should time period choice be placed in the model system relative to other choices, such as that of the mode of travel? These questions cannot be answered on a purely theoretical basis but require the analysis of empirical data. However, there is not a great deal of data available on the relevant choices. The time period models described in the paper are developed from three related stated preference (SP) studies undertaken over the past decade in the United Kingdom and the Netherlands. Because of the complications involved with using advanced models in large-scale modelling forecasting systems, the model structures are limited to nested logit models. Two different tree structures are explored in the analysis, nesting mode above time period choice or time period choice above mode. The analysis examines how these structures differ by data set, purpose of travel and time period specification. Three time period specifications were tested, dividing the 24-hour day into: -twenty-four 1-hour periods; -five coarse time-periods; -sixteen 15-minute morning-peak periods, and two coarse pre-peak and post-peak periods. In each case, the time periods are used to define both the outbound and the return trip timings. The analysis shows that, with a few exceptions, the nested models outperform the basic Multinomial Logit structures, which operate under the assumption of equal substitution patterns across alternatives. With a single exception, the nested models in turn show higher substitution between alternative time periods than between alternative modes, showing that, for all the time period lengths studied, travellers are more sensitive to transport levels of service in their choice of departure time than in choice of mode. The advantages of the nesting structures are especially pronounced in the 1-hour and 15-minute models, while, in the coarse time-period models, the MNL model often remains the preferred structure; this is a clear effect of the broader time-periods, and the consequently lower substitution between time-periods.

Forest and Prairie in Three Northwestern Indiana Counties

The modifying influence of civilized man on natural vegetation is so rapid and so extensive that it becomes a difficult problem after a century or more to picture the original vegetation cover. The task is still more difficult when one attempts to express the vegetation in quantitative terms. Today the taxonomists scour the railway right-of-way for specimens of prairie plants for the prairie itself with its plant sociology has vanished. We will never be able adequately to reconstruct this vegetation complex, and we can only with difficulty draw its former boundary. Even though the surveyors of the original United States land survey, whose records form the basis of this study, made copious notes on prairie areas, it is likely that sedge-meadow type of vegetation was included under their classification of wet prairie. If the term actually described areas dominated by typical prairie grasses, then Indiana at that time had wet prairie, dry prairie and a transition type of prairie and forest association, park-like in nature, which might be called oak openings

Child Abuse and Neglect: Dental and Dental Hygiene Students’ Educational Experiences and Knowledge

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153595/1/jddj002203372006705tb04111x.pd

TOXICOLOGICAL EVALUATION OF REALISTIC EMISSIONS OF SOURCE AEROSOLS (TERESA): APPLICATION TO POWER PLANT-DERIVED PM2.5

Determining the health impacts of different sources and components of fine particulate matter (PM2.5) is an important scientific goal, because PM is a complex mixture of both inorganic and organic constituents that likely differ in their potential to cause adverse health outcomes. The TERESA (Toxicological Evaluation of Realistic Emissions of Source Aerosols) study focused on two PM sources - coal-fired power plants and mobile sources - and sought to investigate the toxicological effects of exposure to realistic emissions from these sources. The DOE-EPRI Cooperative Agreement covered the performance and analysis of field experiments at three power plants. The mobile source component consisted of experiments conducted at a traffic tunnel in Boston; these activities were funded through the Harvard-EPA Particulate Matter Research Center and will be reported separately in the peer-reviewed literature. TERESA attempted to delineate health effects of primary particles, secondary (aged) particles, and mixtures of these with common atmospheric constituents. The study involved withdrawal of emissions directly from power plant stacks, followed by aging and atmospheric transformation of emissions in a mobile laboratory in a manner that simulated downwind power plant plume processing. Secondary organic aerosol (SOA) derived from the biogenic volatile organic compound {alpha}-pinene was added in some experiments, and in others ammonia was added to neutralize strong acidity. Specifically, four scenarios were studied at each plant: primary particles (P); secondary (oxidized) particles (PO); oxidized particles + secondary organic aerosol (SOA) (POS); and oxidized and neutralized particles + SOA (PONS). Extensive exposure characterization was carried out, including gas-phase and particulate species. Male Sprague Dawley rats were exposed for 6 hours to filtered air or different atmospheric mixtures. Toxicological endpoints included (1) breathing pattern; (2) bronchoalveolar lavage (BAL) fluid cytology and biochemistry; (3) blood cytology; (4) in vivo oxidative stress in heart and lung tissue; and (5) heart and lung histopathology. In addition, at one plant, cardiac arrhythmias and heart rate variability (HRV) were evaluated in a rat model of myocardial infarction. Statistical analyses included analyses of variance (ANOVA) to determine differences between exposed and control animals in response to different scenario/plant combinations; univariate analyses to link individual scenario components to responses; and multivariate analyses (Random Forest analyses) to evaluate component effects in a multipollutant setting. Results from the power plant studies indicated some biological responses to some plant/scenario combinations. A number of significant breathing pattern changes were observed; however, significant clinical changes such as specific irritant effects were not readily apparent, and effects tended to be isolated changes in certain respiratory parameters. Some individual exposure scenario components appeared to be more strongly and consistently related to respiratory parameter changes; however, the specific scenario investigated remained a better predictor of response than individual components of that scenario. Bronchoalveolar lavage indicated some changes in cellularity of BAL fluid in response to the POS and PONS scenarios; these responses were considered toxicologically mild in magnitude. No changes in blood cytology were observed at any plant or scenario. Lung oxidative stress was increased with the POS scenario at one plant, and cardiac oxidative stress was increased with the PONS scenario also at one plant, suggesting limited oxidative stress in response to power plant emissions with added atmospheric constituents. There were some mild histological findings in lung tissue in response to the P and PONS scenarios. Finally, the MI model experiments indicated that premature ventricular beat frequency was increased at the plant studied, while no changes in heart rate, HRV, or electrocardiographic intervals were observed. Overall, the TERESA results should be interpreted as indicating toxicologically mild adverse responses to some scenarios. The varied responses among the three plants indicate heterogeneity in emissions. Ongoing studies using the TERESA approach to evaluate the toxicity of traffic-related pollution will yield valuable data for comparative toxicity assessment and will give us a better understanding of the contribution of different sources to the morbidity and mortality associated with exposure to air pollution

Benchmarking the Acceleration of Materials Discovery by Sequential Learning

Sequential learning (SL) strategies, i.e. iteratively updating a machine learning model to guide experiments, have been proposed to significantly accelerate materials discovery and research. Applications on computational datasets and a handful of optimization experiments have demonstrated the promise of SL, motivating a quantitative evaluation of its ability to accelerate materials discovery, specifically in the case of physical experiments. The benchmarking effort in the present work quantifies the performance of SL algorithms with respect to a breadth of research goals: discovery of any “good” material, discovery of all “good” materials, and discovery of a model that accurately predicts the performance of new materials. To benchmark the effectiveness of different machine learning models against these goals, we use datasets in which the performance of all materials in the search space is known from high-throughput synthesis and electrochemistry experiments. Each dataset contains all pseudo-quaternary metal oxide combinations from a set of six elements (chemical space), the performance metric chosen is the electrocatalytic activity (overpotential) for the oxygen evolution reaction (OER). A diverse set of SL schemes is tested on four chemical spaces, each containing 2121 catalysts. The presented work suggests that research can be accelerated by up to a factor of 20 compared to random acquisition in specific scenarios. The results also show that certain choices of SL models are ill-suited for a given research goal resulting in substantial deceleration compared to random acquisition methods. The results provide quantitative guidance on how to tune an SL strategy for a given research goal and demonstrate the need for a new generation of materials-aware SL algorithms to further accelerate materials discovery