2,565 research outputs found

    Intelligence, Human Capital, and Economic Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach

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    Human capital plays an important role in the theory of economic growth, but it has been difficult to measure this abstract concept. We survey the psychological literature on cross-cultural IQ tests, and conclude that modern intelligence tests are well-suited for measuring an important form of a nation’s human capital. Using a new database compiled by Lynn and Vanhanen (2002) along with a Bayesian methodology derived from Sala-i-Martin, Doppelhofer, and Miller (AER, 2004), we show that national average IQ has a robust positive relationship with economic growth. In growth regressions that include only robust control variables, IQ is statistically significant in 99.8% of these 1330 regressions, and the IQ coefficient is always positive. A strong relationship persists even when OECD countries are excluded from the sample. A 1 point increase in a nation’s average IQ is associated with a persistent 0.11% annual increase in GDP per capita.Economic Growth, Human Capital, Intelligence, IQ, Education

    The Expanding Liability of Environmental Consultants to Third Parties

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    Integrating hot and cool intelligences: Thinking Broadly about Broad Abilities

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    Although results from factor-analytic studies of the broad, second-stratum abilities of human intelligence have been fairly consistent for decades, the list of broad abilities is far from complete, much less understood. We propose criteria by which the list of broad abilities could be amended and envision alternatives for how our understanding of the hot intelligences (abilities involving emotionally-salient information) and cool intelligences (abilities involving perceptual processing and logical reasoning) might be integrated into a coherent theoretical framework

    El nacimiento de la Ciencia en los Presocráticos

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    Este trabajo analiza el nacimiento de la ciencia en la antigua Grecia entre los pensadores presocráticos. Se destacan tres aspectos, en primer lugar que es entre los presocráticos donde se produce el paso del mito al logos. En segundo lugar, que sus ideas han sido precursoras de muchas teorías científicas de la modernidad. Y en tercer lugar, este trabajo propone un concepto al que se denomina principio de ignorancia o duda, el cual destaca la imposibilidad del hombre de conocer la verdad del mundo, al menos con la simple experiencia de los sentidos. A partir de este principio, cuya existencia se demuestra acudiendo a las fuentes de los escritos presocráticos, se concluye en que, al tomar conciencia éstos de que la realidad es muy compleja, dan impulso a la búsqueda del conocimiento mediante la razón, dando así origen a la ciencia.

    El rol de los gobernadores opositores en las elecciones presidenciales

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    Este trabajo efectúa un análisis de la forma en que los partidos de oposición actúan en las elecciones presidenciales, buscando darles un rol activo. Para ello se construye un modelo con dos niveles de gobierno, uno Nacional y el otro provincial o estadual. Estados Unidos, Argentina, Brasil y México, republicas presidencialistas federales, serán sometidas a un relevamiento empírico, que permitirá confirmar la hipótesis de que es más probable que cuando la oposición obtenga la presidencia, es por postular un gobernador provincial exitoso, mientras que la mayoría de las veces el oficialismo postula un hombre del gobierno nacional.

    Dependence of Self-Assembled Peptide Hydrogel Network Structure on Local Fibril Nanostructure

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    Physically cross-linked, fibrillar hydrogel networks are formed by the self-assembly of β-hairpin peptide molecules with varying degrees of strand asymmetry. The peptide registry in the self-assembled state can be used as a design element to generate fibrils with twisting, nontwisting, or laminated morphology. The mass density of the networks varies significantly, and can be directly related to the local fibrillar morphology as evidenced by small angle neutron scattering (SANS) and in situ substantiation using cryogenic transmission electron microscopy (cryo-TEM) under identical concentrations and conditions. Similarly, the density of the network is dependent on changes in the peptide concentration. Bulk rheological properties of the hydrogels can be correlated to the fibrillar nanostructure, with the stiffer, laminated fibrils forming networks with a higher G′ as compared to the flexible, singular fibrillar networks

    PCB desorption kinetics under realistic shear and turbulence [progress report]

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    We hypothesize that the impact of PCB desorption from resuspended sediments depends upon the intensity of the resuspension (which scales to bottom stress in the absence of organisms), the rate at which each congener desorbs (which depends on the size and hydrophobicity of the chemical, the relative amount of 'labile' and 'resistant' forms, and the size distribution of the suspended particles), and the residence time of the particles in the water column (which depends on the time-variable water column turbulence regime and the particle settling velocities). In order to accurately quantify the impact of PCB desorption from Hudson River sediments, we are conducting experiments that realistically mimic bottom shear stress and water column turbulence and rapidly measure PCB congener release. The objectives of this study are to measure the kinetics of PCB congener desorption from Hudson River sediments under realistic bottom shear and water column turbulence conditions and to quantify the impact of shear stress and contaminant aging on PCB desorption kinetics

    Layered Social Network Analysis Reveals Complex Relationships in Kindergarteners.

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    The interplay between individuals forms building blocks for social structure. Here, we examine the structure of behavioral interactions among kindergarten classroom with a hierarchy-neutral approach to examine all possible underlying patterns in the formation of layered networks of "reciprocal" interactions. To understand how these layers are coordinated, we used a layered motif approach. Our dual layered motif analysis can therefore be thought of as the dynamics of smaller groups that tile to create the group structure, or alternatively they provide information on what the average child would do in a given local social environment. When we examine the regulated motifs in layered networks, we find that transitivity is at least partially involved in the formation of these layered network structures. We also found complex combinations of the expected reciprocal interactions. The mechanisms used to understand social networks of kindergarten children here are also applicable on a more general scale to any group of individuals where interactions and identities can be readily observed and scored

    The neurogenetics of group behavior in Drosophila melanogaster

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    Organisms rarely act in isolation. Their decisions and movements are often heavily influenced by direct and indirect interactions with conspecifics. For example, we each represent a single node within a social network of family and friends, and an even larger network of strangers. This group membership can affect our opinions and actions. Similarly, when in a crowd, we often coordinate our movements with others like fish in a school, or birds in a flock. Contributions of the group to individual behaviors are observed across a wide variety of taxa but their biological mechanisms remain largely unknown. With the advent of powerful computational tools as well as the unparalleled genetic accessibility and surprisingly rich social life of Drosophila melanogaster, researchers now have a unique opportunity to investigate molecular and neuronal determinants of group behavior. Conserved mechanisms and/or selective pressures in D. melanogaster can likely inform a much wider phylogenetic scale. Here, we highlight two examples to illustrate how quantitative and genetic tools can be combined to uncover mechanisms of two group behaviors in D. melanogaster: social network formation and collective behavior. Lastly, we discuss future challenges towards a full understanding how coordinated brain activity across many individuals gives rise to the behavioral patterns of animal societies
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