989 resultados para Capital movements
Resumo:
Credit scores are the most widely used instruments to assess whether or not a person is a financial risk. Credit scoring has been so successful that it has expanded beyond lending and into our everyday lives, even to inform how insurers evaluate our health. The pervasive application of credit scoring has outpaced knowledge about why credit scores are such useful indicators of individual behavior. Here we test if the same factors that lead to poor credit scores also lead to poor health. Following the Dunedin (New Zealand) Longitudinal Study cohort of 1,037 study members, we examined the association between credit scores and cardiovascular disease risk and the underlying factors that account for this association. We find that credit scores are negatively correlated with cardiovascular disease risk. Variation in household income was not sufficient to account for this association. Rather, individual differences in human capital factors—educational attainment, cognitive ability, and self-control—predicted both credit scores and cardiovascular disease risk and accounted for ∼45% of the correlation between credit scores and cardiovascular disease risk. Tracing human capital factors back to their childhood antecedents revealed that the characteristic attitudes, behaviors, and competencies children develop in their first decade of life account for a significant portion (∼22%) of the link between credit scores and cardiovascular disease risk at midlife. We discuss the implications of these findings for policy debates about data privacy, financial literacy, and early childhood interventions.
Resumo:
Experiments that demonstrated a role for the substantia nigra in eye movements have played an important role in our understanding of the function of the basal ganglia in behavior more broadly. In this review we explore more recent experiments that extend the role of the substantia nigra pars reticulata from a simple gate for eye movements to include a role in cognitive processes for eye movements. We review recent evidence suggesting that basal ganglia nuclei beyond the substantia nigra may also play a role in eye movements and the cognitive events leading up to the production of eye movements. We close by pointing out some unresolved questions in our understanding of the relationship of basal ganglia nuclei and eye movements.
Resumo:
Modulatory descending neurons (DNs) that link the brain to body motor circuits, including dopaminergic DNs (DA-DNs), are thought to contribute to the flexible control of behavior. Dopamine elicits locomotor-like outputs and influences neuronal excitability in isolated body motor circuits over tens of seconds to minutes, but it remains unknown how and over what time scale DA-DN activity relates to movement in behaving animals. To address this question, we identified DA-DNs in the Drosophila brain and developed an electrophysiological preparation to record and manipulate the activity of these cells during behavior. We find that DA-DN spike rates are rapidly modulated during a subset of leg movements and scale with the total speed of ongoing leg movements, whether occurring spontaneously or in response to stimuli. However, activating DA-DNs does not elicit leg movements in intact flies, nor do acute bidirectional manipulations of DA-DN activity affect the probability or speed of leg movements over a time scale of seconds to minutes. Our findings indicate that in the context of intact descending control, changes in DA-DN activity are not sufficient to influence ongoing leg movements and open the door to studies investigating how these cells interact with other descending and local neuromodulatory inputs to influence body motor output.
Resumo:
Animal locomotion causes head rotations, which are detected by the semicircular canals of the inner ear. Morphologic features of the canals influence rotational sensitivity, and so it is hypothesized that locomotion and canal morphology are functionally related. Most prior research has compared subjective assessments of animal "agility" with a single determinant of rotational sensitivity: the mean canal radius of curvature (R). In fact, the paired variables of R and body mass are correlated with agility and have been used to infer locomotion in extinct species. To refine models of canal functional morphology and to improve locomotor inferences for extinct species, we compare 3D vector measurements of head rotation during locomotion with 3D vector measures of canal sensitivity. Contrary to the predictions of conventional models that are based upon R, we find that axes of rapid head rotation are not aligned with axes of either high or low sensitivity. Instead, animals with fast head rotations have similar sensitivities in all directions, which they achieve by orienting the three canals of each ear orthogonally (i.e., along planes at 90° angles to one another). The extent to which the canal configuration approaches orthogonality is correlated with rotational head speed independent of body mass and phylogeny, whereas R is not.
Resumo:
It is essential to keep track of the movements we make, and one way to do that is to monitor correlates, or corollary discharges, of neuronal movement commands. We hypothesized that a previously identified pathway from brainstem to frontal cortex might carry corollary discharge signals. We found that neuronal activity in this pathway encodes upcoming eye movements and that inactivating the pathway impairs sequential eye movements consistent with loss of corollary discharge without affecting single eye movements. These results identify a pathway in the brain of the primate Macaca mulatta that conveys corollary discharge signals.
Resumo:
The Mongolian gazelle, Procapra gutturosa, resides in the immense and dynamic ecosystem of the Eastern Mongolian Steppe. The Mongolian Steppe ecosystem dynamics, including vegetation availability, change rapidly and dramatically due to unpredictable precipitation patterns. The Mongolian gazelle has adapted to this unpredictable vegetation availability by making long range nomadic movements. However, predicting these movements is challenging and requires a complex model. An accurate model of gazelle movements is needed, as rampant habitat fragmentation due to human development projects - which inhibit gazelles from obtaining essential resources - increasingly threaten this nomadic species. We created a novel model using an Individual-based Neural Network Genetic Algorithm (ING) to predict how habitat fragmentation affects animal movement, using the Mongolian Steppe as a model ecosystem. We used Global Positioning System (GPS) collar data from real gazelles to “train” our model to emulate characteristic patterns of Mongolian gazelle movement behavior. These patterns are: preferred vegetation resources (NDVI), displacement over certain time lags, and proximity to human areas. With this trained model, we then explored how potential scenarios of habitat fragmentation may affect gazelle movement. This model can be used to predict how fragmentation of the Mongolian Steppe may affect the Mongolian gazelle. In addition, this model is novel in that it can be applied to other ecological scenarios, since we designed it in modules that are easily interchanged.
Resumo:
El sector agroalimentario se ha convertido en el de mayor importancia durante los 90 para la economía argentina junto a los sectores del petróleo y acero. Sin embargo, el gran empuje proveniente del 'campo' no se traslada al resto de redes de abatecimiento de alimentos. El desarrollo veloz de las interrelaciones comerciales que conducen al establecimiento de distintas formas de relaciones para el abastecimiento de alimentos es un fenómeno clave en las economías agroalimentarias modernas. Los principales actores de las cadenas agroindustriales deben diseñar las mejores opciones respecto del diseño de sus relaciones comerciales. El objetivo principal del siguiente trabajo es identificar al capital social como un factor de producción para el desarrolo de los sistemas de agronegocios argentinos. Los objetivos específicos serán identificar el nivel de capital social del sistema de ganados y carnes vacuna, del sistema avícola y del sistema vitivinícola de la Argentina. El trabajo determina que el desarrollo global de los agronegocios en Argentina depende del grado de enforcement de la ley y los contratos y del nivel de acción colectiva. Dentro de las variables estudiadas 'confianza', 'acción colectiva' y 'cooperación y ética' presenta altos niveles en las tres variables, el sistema vitivinícola medios y el sistema de ganados y carnes vacuno los presenta bajos. El sistema de negocios avícola es la que marca un mayor desarrollo de capital social a lo largo de la muestra. El nivel de confianza expresado por sus miembros demuestra su capacidad para resolver los dilemas que presenta la acción colectiva en el negocio real, contrariamente al sistema vacuno, mientras que el sistema vitivinícola se coloca en una posición media. El sistema avícola presenta mayor cantidad de contratos formales y como vimos un mayor respeto por su cumplimiento más allá de la incompltitud de los mismos. La falta de contratos formales y la falta de control por parte del Estado, en mayor medida en el subsector vacuno por sobre el vitivinícola, favorece el doble estándar impositivo, comercial y sanitario (no en el caso del vino). En tal sentido, el no respeto por el conjunto de reglas de conducta formales (leyes, tradiciones, costumbres, sistema de valores, religiones, tendencias sociológicas, etc.), es decir las instituciones, que facilitan la coordinación o rigen las relaciones entre individuos o grupos, le agrega mayor incertidumbre a la interacción humana
Resumo:
El sector agroalimentario se ha convertido en el de mayor importancia durante los 90 para la economía argentina junto a los sectores del petróleo y acero. Sin embargo, el gran empuje proveniente del 'campo' no se traslada al resto de redes de abatecimiento de alimentos. El desarrollo veloz de las interrelaciones comerciales que conducen al establecimiento de distintas formas de relaciones para el abastecimiento de alimentos es un fenómeno clave en las economías agroalimentarias modernas. Los principales actores de las cadenas agroindustriales deben diseñar las mejores opciones respecto del diseño de sus relaciones comerciales. El objetivo principal del siguiente trabajo es identificar al capital social como un factor de producción para el desarrolo de los sistemas de agronegocios argentinos. Los objetivos específicos serán identificar el nivel de capital social del sistema de ganados y carnes vacuna, del sistema avícola y del sistema vitivinícola de la Argentina. El trabajo determina que el desarrollo global de los agronegocios en Argentina depende del grado de enforcement de la ley y los contratos y del nivel de acción colectiva. Dentro de las variables estudiadas 'confianza', 'acción colectiva' y 'cooperación y ética' presenta altos niveles en las tres variables, el sistema vitivinícola medios y el sistema de ganados y carnes vacuno los presenta bajos. El sistema de negocios avícola es la que marca un mayor desarrollo de capital social a lo largo de la muestra. El nivel de confianza expresado por sus miembros demuestra su capacidad para resolver los dilemas que presenta la acción colectiva en el negocio real, contrariamente al sistema vacuno, mientras que el sistema vitivinícola se coloca en una posición media. El sistema avícola presenta mayor cantidad de contratos formales y como vimos un mayor respeto por su cumplimiento más allá de la incompltitud de los mismos. La falta de contratos formales y la falta de control por parte del Estado, en mayor medida en el subsector vacuno por sobre el vitivinícola, favorece el doble estándar impositivo, comercial y sanitario (no en el caso del vino). En tal sentido, el no respeto por el conjunto de reglas de conducta formales (leyes, tradiciones, costumbres, sistema de valores, religiones, tendencias sociológicas, etc.), es decir las instituciones, que facilitan la coordinación o rigen las relaciones entre individuos o grupos, le agrega mayor incertidumbre a la interacción humana
Resumo:
p.187-200
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This paper investigates the determinants of capital structure for a sample of 20,713 unlisted firms from 11 eastern European countries over the period 1994-2004. We employ usual firm-specific financial variables as well as country-specific variables that describe the degrees of governance structure and financial development of each country. Using regression analysis, our results indicate that firm ownership concentration and country governance structure are insignificant explanatory variables to the degree of leverage of the firms in our sample. On the other hand, indicators of country financial development are robust determinants of capital structure. However, the marginal explanatory power of country-specific variables is small. We conclude that firm-specific characteristics are decisive in capital structure.
Resumo:
The historic pattern of public sector pay movements in the UK has been counter-cyclical with private sector pay growth. Periods of relative decline in public sector pay against private sector movements have been followed by periods of ‘catch-up’ as Government controls are eased to remedy skill shortages or deal with industrial unrest among public servants. Public sector ‘catch up’ increases have therefore come at awkward times for Government, often coinciding with economic downturn in the private sector (Trinder 1994, White 1996, Bach 2002). Several such epochs of public sector pay policy can be identified since the 1970s. The question is whether the current limits on public sector pay being imposed by the UK Government fit this historic pattern or whether the pattern has been broken and, if so, how and why? This paper takes a historical approach in considering the context to public sector pay determination in the UK. In particular the paper seeks to review the period since Labour came into office (White and Hatchett 2003) and the various pay ‘modernisation’ exercises that have been in process over the last decade (White 2004). The paper draws on national statistics on public sector employment and pay levels to chart changes in public sector pay policy and draws on secondary literature to consider both Government policy intentions and the impact of these policies for public servants.