9 resultados para Law enforcement

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP)


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As many countries are moving toward water sector reforms, practical issues of how water management institutions can better effect allocation, regulation, and enforcement of water rights have emerged. The problem of nonavailability of water to tailenders on an irrigation system in developing countries, due to unlicensed upstream diversions is well documented. The reliability of access or equivalently the uncertainty associated with water availability at their diversion point becomes a parameter that is likely to influence the application by users for water licenses, as well as their willingness to pay for licensed use. The ability of a water agency to reduce this uncertainty through effective water rights enforcement is related to the fiscal ability of the agency to monitor and enforce licensed use. In this paper, this interplay across the users and the agency is explored, considering the hydraulic structure or sequence of water use and parameters that define the users and the agency`s economics. The potential for free rider behavior by the users, as well as their proposals for licensed use are derived conditional on this setting. The analyses presented are developed in the framework of the theory of ""Law and Economics,`` with user interactions modeled as a game theoretic enterprise. The state of Ceara, Brazil, is used loosely as an example setting, with parameter values for the experiments indexed to be approximately those relevant for current decisions. The potential for using the ideas in participatory decision making is discussed. This paper is an initial attempt to develop a conceptual framework for analyzing such situations but with a focus on the reservoir-canal system water rights enforcement.

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Objective: High levels of domestic violence, mental illness, and alienation from authorities are associated with high incidence of children/adolescents living on the streets in low and middle income countries. The Equilibrium Project (Programa Equilibrio) was created to facilitate social reintegration through a virtual partnership between an academic psychiatric institute and highly vulnerable children and adolescents living on the streets, in group shelter with supervision, and in other high risk situations. Methods: Descriptive presentation of qualitative data and analysis of preliminary empirical data collected over a 24-month period. Results: Dialogue between academic professionals, street children, and city officials shaped The Equilibrium Project over the last 2 years. The program has progressively moved from a professional clinic setting to a community-based but protected activity center with recreational and professional services and an emphasis on linkage with social service agencies, city government and law enforcement officials in an academic research context. A total of 351 patients have been served of whom virtually all were neglected by their parents, 58.4% report physical or sexual abuse, 88.89% have been diagnosed with a psychiatric disorder, 40.4% drug use. After 2 years of operation, 63.5% (n = 223) successfully completed or continue in treatment and 34.8% (n = 122) were reunited with their families. Conclusions and Practice implications: Program development guided by consumer input led to a successful program offering professional services in a protected community setting that facilitates social reintegration by providing ""go between"" services integrating relationships between alienated consumers and formal psychiatric, pediatric, social service, and criminal justice systems. (C) 2011 Elsevier Ltd. All rights reserved.

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Aim: The aim of this paper was to compare the quantity and frequency of alcohol use and its associated negative consequences between two groups of college students who were identified as being ""risky drinkers."" Subjects were randomly allocated in a clinical trial to intervention or control groups. Methods: Risky drinking use was defined as Alcohol Use Disorders Identification Test (AUDIT) >= 8 and/or Rutgers Alcohol Problem Index (RAPI) >= 5 problems in the previous year. Students who had undergone the Brief Alcohol Screening and Intervention for College Students (BASICS) (N = 145 at baseline; 142 at 12 months, and 103 at 24 months, loss of 29.7%) were compared with a control group (N = 121 at baseline; 121 at 12 months and 113 at 24 months, loss of 9.3%), the nonintervention group. Variables included drinking frequency, quantity and peak consumption, dependence assessment, and family and friends` abuse assessment. Results: Treated students at a 24-month follow-up decreased quantity of alcohol use per occasion and lowered AUDIT and RAPI scores. Conclusions: This is the first brief intervention work on risky drinking with college students in Brazil and the results are encouraging. However, it is difficult to conduct individual prevention strategies in a country where culture fosters heavy drinking through poor public policy on alcohol and lack of law enforcement.

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Rheological properties of adherent cells are essential for their physiological functions, and microrheological measurements on living cells have shown that their viscoelastic responses follow a weak power law over a wide range of time scales. This power law is also influenced by mechanical prestress borne by the cytoskeleton, suggesting that cytoskeletal prestress determines the cell's viscoelasticity, but the biophysical origins of this behavior are largely unknown. We have recently developed a stochastic two-dimensional model of an elastically joined chain that links the power-law rheology to the prestress. Here we use a similar approach to study the creep response of a prestressed three-dimensional elastically jointed chain as a viscoelastic model of semiflexible polymers that comprise the prestressed cytoskeletal lattice. Using a Monte Carlo based algorithm, we show that numerical simulations of the chain's creep behavior closely correspond to the behavior observed experimentally in living cells. The power-law creep behavior results from a finite-speed propagation of free energy from the chain's end points toward the center of the chain in response to an externally applied stretching force. The property that links the power law to the prestress is the chain's stiffening with increasing prestress, which originates from entropic and enthalpic contributions. These results indicate that the essential features of cellular rheology can be explained by the viscoelastic behaviors of individual semiflexible polymers of the cytoskeleton.

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Finite-size scaling analysis turns out to be a powerful tool to calculate the phase diagram as well as the critical properties of two-dimensional classical statistical mechanics models and quantum Hamiltonians in one dimension. The most used method to locate quantum critical points is the so-called crossing method, where the estimates are obtained by comparing the mass gaps of two distinct lattice sizes. The success of this method is due to its simplicity and the ability to provide accurate results even considering relatively small lattice sizes. In this paper, we introduce an estimator that locates quantum critical points by exploring the known distinct behavior of the entanglement entropy in critical and noncritical systems. As a benchmark test, we use this new estimator to locate the critical point of the quantum Ising chain and the critical line of the spin-1 Blume-Capel quantum chain. The tricritical point of this last model is also obtained. Comparison with the standard crossing method is also presented. The method we propose is simple to implement in practice, particularly in density matrix renormalization group calculations, and provides us, like the crossing method, amazingly accurate results for quite small lattice sizes. Our applications show that the proposed method has several advantages, as compared with the standard crossing method, and we believe it will become popular in future numerical studies.

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This note addresses the relation between the differential equation of motion and Darcy`s law. It is shown that, in different flow conditions, three versions of Darcy`s law can be rigorously derived from the equation of motion.

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It is well known that structures subjected to dynamic loads do not follow the usual similarity laws when the material is strain rate sensitive. As a consequence, it is not possible to use a scaled model to predict the prototype behaviour. In the present study, this problem is overcome by changing the impact velocity so that the model behaves exactly as the prototype. This exact solution is generated thanks to the use of an exponential constitutive law to infer the dynamic flow stress. Furthermore, it is shown that the adopted procedure does not rely on any previous knowledge of the structure response. Three analytical models are used to analyze the performance of the technique. It is shown that perfect similarity is achieved, regardless of the magnitude of the scaling factor. For the class of material used, the solution outlined has long been sought, inasmuch as it allows perfect similarity for strain rate sensitive structures subject to impact loads. (C) 2009 Elsevier Ltd. All rights reserved.

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The behavior of the Steinmetz coefficient has been described for several different materials: steels with 3.2% Si and 6.5% Si, MnZn ferrite and Ni-Fe alloys. It is shown that, for steels, the Steinmetz law achieves R(2)> 0.999 only between 0.3 and 1.2 T, which is the interval where domain wall movement dominates. The anisotropy of Steinmetz coefficient for non-oriented (NO) steel is also discussed. It is shown that for a NO 3.2% Si steel with a strong Goss component in texture, the power law coefficient and remanence decreases monotonically with the direction of measurement going from rolling direction (RD) to transverse direction (TD), although coercive field increased. The remanence behavior can be related to the minimization of demagnetizing field at the surface grains. The data appear to indicate that the Steinmetz coefficient increases as magnetocrystalline anisotropy constant decreases. (c) 2008 Elsevier B.V. All rights reserved.

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Estimation of Taylor`s power law for species abundance data may be performed by linear regression of the log empirical variances on the log means, but this method suffers from a problem of bias for sparse data. We show that the bias may be reduced by using a bias-corrected Pearson estimating function. Furthermore, we investigate a more general regression model allowing for site-specific covariates. This method may be efficiently implemented using a Newton scoring algorithm, with standard errors calculated from the inverse Godambe information matrix. The method is applied to a set of biomass data for benthic macrofauna from two Danish estuaries. (C) 2011 Elsevier B.V. All rights reserved.