915 resultados para building information model
Resumo:
The necessary information to distinguish a local inhomogeneous mass density field from its spatial average on a compact domain of the universe can be measured by relative information entropy. The Kullback-Leibler (KL) formula arises very naturally in this context, however, it provides a very complicated way to compute the mutual information between spatially separated but causally connected regions of the universe in a realistic, inhomogeneous model. To circumvent this issue, by considering a parametric extension of the KL measure, we develop a simple model to describe the mutual information which is entangled via the gravitational field equations. We show that the Tsallis relative entropy can be a good approximation in the case of small inhomogeneities, and for measuring the independent relative information inside the domain, we propose the R\'enyi relative entropy formula.
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El problema que enfrenta la institucionalidad estatal argentina es que existe un serio déficit de información no solamente en el momento de evaluar un resultado, sino ya al momento de diseñar la política. Las estadísticas oficiales de hechos vitales, salud y educación son difundidas en el mejor de los casos con un año de atraso. La información de indicadores de salud por su nivel de desagregación no permite conocer las realidades locales. Es posible constatar la falta de información sobre las medidas tomadas para asegurar el cumplimiento de las obligaciones del Estado en lo relativo a políticas y programas de salud mental. Del mismo modo que los organismos internacionales determinan los deficits de los sistemas de atención a la salud mental a través de las brechas de tratamiento y aun cuando no se dispone de estimaciones precisas se habla de brechas de información, que expresarían la distancia entre la información necesaria y la efectivamente disponible (OPS, 2009). Desde el mes de diciembre de 2007 se conforma la Mesa de Trabajo Permanente en Salud Mental y Derechos Humanos, con el objeto de instalar en agenda la necesidad de contar con una legislación que brinde el marco normativo para la transformación del sector. En los meses de octubre y noviembre de 2010 se aprobaron sendas leyes de salud mental en la Provincia de Córdoba y a nivel nacional. Ambas proponen la transformación progresiva en los sistemas de atención a los problemas de salud mental de la población. Desde la Mesa de Trabajo Permanente en Salud Mental y Derechos Humanos se afirma que la legislación es un marco necesario pero no suficiente, en tanto se constata que las princiales violaciones a los derechos humanos se producen en situaciones concretas. El presente proyecto nace de la necesidad de contar con un sistema de información que permita conocer la transformación de los servicios de salud mental en la provincia de Córdoba a partir de la sanción de la ley 9848 de Salud Mental en el mes de octubre de 2010. Una vez logrado este objetivo legislativo, se pretende monitorear la gestión con la formulación de los siguientes interrogantes: ¿a través de qué indicadores medir, evaluar y monitorear si la producción de los servicios de salud mental se lleva adelante desde la perspectiva del enfoque de derechos sancionada en el marco normativo vigente?; ¿cuáles son los indicadores que desde dicha perspectiva los organismos estatales de producción de servicios deben elaborar para el compromiso de acción y la rendición de cuentas frente a la ciudadanía? ¿cuáles son los indicadores que la ciudadanía debe reclamar a los fines de monitorear el cumplimiento de dichos compromisos? La puesta en marcha del Observatorio de Salud Mental y Derechos Humanos permitirá analizar las políticas y programas de salud mental desde la perspectiva de los derechos humanos y avanzar en el monitoreo de la producción de los servicios de salud mental. Objetivo General: analizar y hacer visible el cumplimiento de los objetivos sancionados en la ley 9848 de Salud Mental a través de la observación, el monitoreo y la incidencia en las políticas de salud mental de la provincia de Córdoba. Metodología: la construcción de indicadores de derechos humanos para la salud mental. El Observatorio de Salud Mental y Derechos Humanos pretende dar cuenta de las transformaciones que van a ocurrir a partir de la sanción de la ley 9848. Los resultados esperados están ligados a la producción y difusión de información sistematizada sobre las transformaciones en salud mental, a la vigilancia y el análisis del efecto/impacto de las políticas e incidir en las decisiones. El Observatorio pretende reconocer e integrar la información disponible y proponer indicadores que den cuenta de la situación inicial al momento de la implementación de los marcos normativos y permitir el monitoreo de las transformaciones emergentes. This project stems from the need for an information system designed to show the transformation of mental health services in the province of Cordoba after the enactment of the Mental Health Act 9848 in October 2010. Once achieved this legislative objective is to monitor the management with the formulation of the following questions: through which indicators to measure, evaluate and monitor whether the production of mental health services are carried forward from the perspective of rights-based approach enacted in two laws?, What are the indicators from that perspective the production agencies should develop services for the commitment to action and accountability to the public? What are the indicators that the public should demand that the purpose of monitoring compliance with these commitments? The launch of the Centre for Mental Health and Human Rights will review the policies and mental health programs from the perspective of human rights and progress in monitoring the production of mental health services. General Objective: to analyze and highlight the achievement of the objectives sanctioned by the Mental Health Act 9848 through the observation, monitoring and impact on mental health policy in the province of Cordoba. Methodology: building human rights indicators for mental health Mental Observatory Health and Human Rights aims to account for the changes that will occur after the enactment of Law 9848. The expected results are linked to production and dissemination of systematic information about changes in mental health, surveillance and analysis of the effect / impact and influence policy decisions. The Centre aims to recognize and integrate the available information and propose indicators that account for the initial situation at the time of implementation of regulatory frameworks and allow monitoring of change emerging.
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The twin objectives of the work described were to construct nutrient balance models (NBM) for a range of Irish animal production systems and to evaluate their potential as a means of estimating the nutrient composition of farm wastes. The NBM has three components. The first is the intake of nutrients in the animal's diet. The second is retention or the nutrients the animal retains for the production of milk, meat or eggs. The third is the balance or the difference between the nutrient intake and retention. Data on the intake levels and their nutrient value for dairy cows, beef cattle, pigs and poultry systems were assembled. Literature searches and interviews with National experts were the primary sources of information. NBMs were then constructed for each production system. Summary tables of the nutrient values for the common diet constituents used in Irish animal production systems, the nutrient composition of the animal products and the NBMs (nutrient intake, retention and excretion) for a range of production systems were assembled. These represent the first comprehensive data set of this type for Irish animal production systems. There was generally good agreement between the derived NBMs values and those published in the literature. The NBMs were validated on a number of farms. Data on animal numbers, fertiliser use, concentrates inputs and production output were recorded on seven farms. Using the data a nutrient input/output balance was constructed for each farm. This was compared with the NBM estimate of the farm nutrient balance. The results showed good agreement between the measured balance and the NBM estimate particularly for the pig and poultry farms. However, the validation emphasised the inherent risks associated with NBMs. The average values used for feed intake and production parameters in the NEMs may result in the under or over estimate of actual nutrient balances on individual farms where these variables are substantially different. On the grassland farms there was a poor correlation between the input/output estimate and the NBM. This possibly results from the omission of the soil's contribution to the nutrient balance. However, the results indicate that the NBMs developed are a potentially useful tool for estimating nutrient balances. They also will serve to highlight the significant fraction of the nutrient inputs into farming systems that are retained on the farm. The potential of the NBM as a means of estimating the nutrient composition of farm wastes was evaluated on two farms. Feed intake and composition, animal production, slurry production was monitored during the indoor winter feeding period. Slurry samples were taken for analysis. The appropriates NBMs were used to estimate the nutrient balance for each farm. The nutrient content of the slurry produced was calculated. There was a good agreement between the NBM estimate and the measured values. This preliminary evaluation suggests that the NBM has a potential to provide the farmer with a simple means of estimating the nutrient value of his slurry.
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Today, doctors can be publishers – computer technology and the internet make it possible, and book projects are tempting in terms of money. A doctor who publishes his own textbooks can earn many times what he would be paid in royalties by a publishing house. More important than this, however, is the fact that a doctor who writes and publishes wants his texts to be read by as many colleagues, students and patients as possible. The best way to achieve this is through free parallel publication of these texts on the internet
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At the moment there is a lack of methodological approaches to formalization of management of innovative projects relating to production systems, as well as to adaptation and practical use of the existing approaches. This article is about one potential approach to the management of innovative projects, which makes the building of innovative process models possible based on objective approach. It outlines the frameworks for the building of innovative project models, and describes the method of transition from conceptual modelling to innovative project management. In this case, the model alone and together with parameters used for evaluation of the project may be unique and depends on the special features of the project, preferences of decision-making person, and production and economic system in which it is to be implemented. Unlike existing approaches, this concept does not place any restrictions on types of models and makes it possible to take into account the specificities of economic and production systems. Principles embodied in the model allow its usage as a basis for simulation model to be used in one of specialized simulation systems, as well as for information system providing information support of decision-making process in production and economic systems both newly developed by the company (enterprise) and designed on the basis of available information systems that interact through the exchange of data. In addition, this article shows that the development of conceptual foundations of innovative project management in the economic and production systems is inseparable from the development of the theory of industrial control systems, and their comprehensive study may be reduced to a set of elements represented as certain algorithms, models and evaluations. Thus, the study of innovative process may be conducted in both directions: from general to particular, and vice versa.
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This paper examines competition in a spatial model of two-candidate elections, where one candidate enjoys a quality advantage over the other candidate. The candidates care about winning and also have policy preferences. There is two-dimensional private information. Candidate ideal points as well as their tradeoffs between policy preferences and winning are private information. The distribution of this two-dimensional type is common knowledge. The location of the median voter's ideal point is uncertain, with a distribution that is commonly known by both candidates. Pure strategy equilibria always exist in this model. We characterize the effects of increased uncertainty about the median voter, the effect of candidate policy preferences, and the effects of changes in the distribution of private information. We prove that the distribution of candidate policies approaches the mixed equilibrium of Aragones and Palfrey (2002a), when both candidates' weights on policy preferences go to zero.
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We analyze a continuous-time bilateral double auction in the presence of two-sided incomplete information and a smallest money unit. A distinguishing feature of our model is that intermediate concessions are not observable by the adversary: they are only communicated to a passive auctioneer. An alternative interpretation is that of mediated bargaining. We show that an equilibrium using only the extreme agreements always exists and display the necessary and sufficient condition for the existence of (perfect Bayesian) equilibra which yield intermediate agreements. For the symmetric case with uniform type distribution we numerically calculate the equilibria. We find that the equilibrium which does not use compromise agreements is the least efficient, however, the rest of the equilibria yield the lower social welfare the higher number of compromise agreements are used.
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Description of a costing model developed by digital production librarian to determine the cost to put an item into the Claremont Colleges Digital Library at the Claremont University Consortium. This case study includes variables such as material types and funding sources, data collection methods, and formulas and calculations for analysis. This model is useful for grant applications, cost allocations, and budgeting for digital project coordinators and digital library projects.
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One of the main implications of the efficient market hypothesis (EMH) is that expected future returns on financial assets are not predictable if investors are risk neutral. In this paper we argue that financial time series offer more information than that this hypothesis seems to supply. In particular we postulate that runs of very large returns can be predictable for small time periods. In order to prove this we propose a TAR(3,1)-GARCH(1,1) model that is able to describe two different types of extreme events: a first type generated by large uncertainty regimes where runs of extremes are not predictable and a second type where extremes come from isolated dread/joy events. This model is new in the literature in nonlinear processes. Its novelty resides on two features of the model that make it different from previous TAR methodologies. The regimes are motivated by the occurrence of extreme values and the threshold variable is defined by the shock affecting the process in the preceding period. In this way this model is able to uncover dependence and clustering of extremes in high as well as in low volatility periods. This model is tested with data from General Motors stocks prices corresponding to two crises that had a substantial impact in financial markets worldwide; the Black Monday of October 1987 and September 11th, 2001. By analyzing the periods around these crises we find evidence of statistical significance of our model and thereby of predictability of extremes for September 11th but not for Black Monday. These findings support the hypotheses of a big negative event producing runs of negative returns in the first case, and of the burst of a worldwide stock market bubble in the second example. JEL classification: C12; C15; C22; C51 Keywords and Phrases: asymmetries, crises, extreme values, hypothesis testing, leverage effect, nonlinearities, threshold models
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This paper provides evidence on the sources of co-movement in monthly US and UK stock price movements by investigating the role of macroeconomic and financial variables in a bivariate system with time-varying conditional correlations. Crosscountry communality in response is uncovered, with changes in the US Federal Funds rate, UK bond yields and oil prices having similar negative effects in both markets. Other variables also play a role, especially for the UK market. These effects do not, however, explain the marked increase in cross-market correlations observed from around 2000, which we attribute to time variation in the correlations of shocks to these markets. A regime-switching smooth transition model captures this time variation well and shows the correlations increase dramatically around 1999-2000. JEL classifications: C32, C51, G15 Keywords: international stock returns, DCC-GARCH model, smooth transition conditional correlation GARCH model, model evaluation.
Resumo:
Male and female Wistar rats were treated postnatally (PND 5-16) with BSO (l-buthionine-(S,R)-sulfoximine) to provide a rat model of schizophrenia based on transient glutathione deficit. In the watermaze, BSO-treated male rats perform very efficiently in conditions where a diversity of visual information is continuously available during orientation trajectories [1]. Our hypothesis is that the treatment impairs proactive strategies anticipating future sensory information, while supporting a tight visual adjustment on memorized snapshots, i.e. compensatory reactive strategies. To test this hypothesis, BSO rats' performance was assessed in two conditions using an 8-arm radial maze task: a semi-transparent maze with no available view on the environment from maze centre [2], and a modified 2-parallel maze known to induce a neglect of the parallel pair in normal rats [3-5]. Male rats, but not females, were affected by the BSO treatment. In the semi-transparent maze, BSO males expressed a higher error rate, especially in completing the maze after an interruption. In the 2-parallel maze shape, BSO males, unlike controls, expressed no neglect of the parallel arms. This second result was in accord with a reactive strategy using accurate memory images of the contextual environment instead of a representation based on integrating relative directions. These results are coherent with a treatment-induced deficit in proactive decision strategy based on multimodal cognitive maps, compensated by accurate reactive adaptations based on the memory of local configurations. Control females did not express an efficient proactive capacity in the semi-transparent maze, neither did they show the significant neglect of the parallel arms, which might have masked the BSO induced effect. Their reduced sensitivity to BSO treatment is discussed with regard to a sex biased basal cognitive style.
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The Conservative Party emerged from the 2010 United Kingdom General Election as the largest single party, but their support was not geographically uniform. In this paper, we estimate a hierarchical Bayesian spatial probit model that tests for the presence of regional voting effects. This model allows for the estimation of individual region-specic effects on the probability of Conservative Party success, incorporating information on the spatial relationships between the regions of the mainland United Kingdom. After controlling for a range of important covariates, we find that these spatial relationships are significant and that our individual region-specic effects estimates provide additional evidence of North-South variations in Conservative Party support.
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This paper presents a dynamic Overlapping Generations Computable General Equilibrium (OLG-CGE) model of Scotland. The model is used to examine the impact of population ageing on the labour market. More specifically, it is used to evaluate the effects of labour force decline and labour force ageing on key macro-economic variables. The second effect is assumed to operate through age-specific productivity and labour force participation. In the analysis, particular attention is paid to how population ageing impinges on the government expenditure constraint. The basic structure of the model follows in the Auerbach and Kotlikoff tradition. However, the model takes into consideration directly age-specific mortality. This is analogous to “building in” a cohort-component population projection structure to the model, which allows more complex and more realistic demographic scenarios to be considered.
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We analyse both theoretically and empirically, the factors that influence the amount of humanitarian aid which countries receive when they are struck by natural disasters. Our investigation particularly distinguishes between immediate disaster relief which helps the survival of victims and long term humanitarian aid given towards reconstruction and rehabilitation. The theoretical model is able to make predictions as well as explain some of the peculiarities in the empirical results. The empirical analysis, making use of some useful data sources, show that both short and long term humanitarian aid increase with number of people killed, financial loss and level of corruption, while GDP per capita has no effect. Number of people affected had no effect on short term aid, but significantly increased long term aid. Both types of aid increased if the natural disaster was an earthquake, tsunami or drought. In addition, short term aid increases in response to a flood while long term aid increases in response to storms.
Resumo:
This paper presents a dynamic Overlapping Generations Computable General Equilibrium (OLG-CGE) model of Scotland. The model is used to examine the impact of population ageing on the labour market. More specifically, it is used to evaluate the effects of labour force decline and labour force ageing on key macro-economic variables. The second effect is assumed to operate through age-specific productivity and labour force participation. In the analysis, particular attention is paid to how population ageing impinges on the government expenditure constraint. The basic structure of the model follows in the Auerbach and Kotlikoff tradition. However, the model takes into consideration directly age-specific mortality. This is analogous to “building in” a cohort-component population projection structure to the model, which allows more complex and more realistic demographic scenarios to be considered.