912 resultados para expenditure constraint


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In this paper, we propose an algorihm for conneced p-percent coverage probem in Wireless Sensor Networks(WSNs) to improve the over netork life time. In this work, we invstigae the p-pernt coverage problem(PCP) in WSNs which require % of n area should be monitored correctl and to find ou ny additional requirements of the connec p-percent coverge prom. We prose pDCDS algorith which is a learnin autmaton basd algorithm fr PCP pDCDS is a Degreconsained Connected Domining Se based algoithm whch detect the minimum numbe of des to monitor an area. The simulation results demonstrate hat pDCDS can remarkably improve the network lifetime.

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Spectral unmixing (SU) is an emerging problem in the remote sensing image processing. Since both the endmember signatures and their abundances have nonnegative values, it is a natural choice to employ the attractive nonnegative matrix factorization (NMF) methods to solve this problem. Motivated by that the abundances are sparse, the NMF with local smoothness constraint (NMF-LSC) is proposed in this paper. In the proposed method, the smoothness constraint is utilized to impose the sparseness, instead of the traditional L1-norm which is restricted by the underlying column-sum-to-one requirement of the to the abundance matrix. Simulations show the advantages of our algorithm over the compared methods.

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Time control plays a critical role within the online mastery learning (OML) approach. This paper examines the two commonly implemented mastery learning strategies – personalised system of instructions and learning for mastery (LFM) – by focusing on what occurs when there is an instructional time constraint. Using a large data set from a postgraduate finance course offered at an Australian university, we explore students' online quiz-completion patterns, then empirically investigate whether the imposition of an instructional time constraint in the OML approach has an impact on their final-examination performance. Our results suggest that the LFM strategy with an instructional time constraint has a positive impact on students' learning behaviour and contributes to better overall academic performance. Further, our findings suggest that facilitators should be encouraged to implement an instructional time constraint when adopting an OML approach.

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The purpose of this study was to assess the validity of a GPS tracking system to estimate energy expenditure (EE) during exercise and field sport locomotor movements. Twenty-seven participants each completed one 90 minute exercise session on an outdoor synthetic futsal pitch. During the exercise session participants wore a 5 Hz GPS unit interpolated to 15 Hz (SPI HPU, GPSports Pty Ltd, Australia) and a portable gas analyser (Metamax® 3B, Cortex Pty Ltd, Germany) which acted as the criterion measure of EE. The exercise session was comprised of alternating five minute exercise bouts of randomised walking, jogging, running or a field sport circuit (x3) followed by 10 minutes of recovery. One-way ANOVA showed significant (p<0.01) and very large underestimations between GPS metabolic power derived EE and VO2 derived EE for all field sport circuits (% difference ≈ -44%). No differences in EE were observed for the jog (7.8%) and run (4.8%) while very large overestimations were found for the walk (43.0%). The GPS metabolic power EE over the entire 90 minute session was significantly lower (p<0.01) than the VO2 EE, resulting in a moderate underestimation overall (-19%). The results of this study suggest that a GPS tracking system using the metabolic power model of EE does not accurately estimate EE in field sport movements or over an exercise session consisting of mixed locomotor activities interspersed with recovery periods; however is able to provide a reasonably accurate estimation of EE during continuous jogging and running.

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We construct and simulate a theoretical model in order to explain particular historical experiences in which inflation acceleration apparently helped to spur a period of economic growth. Government financed expenditures affect positively the produtivity growth in this model so that the distortionary effect of inflation tax is compensated by the productive effect of public expenditures. We show that for some interval of money creation rates there is an equilibrium where money is valued and where steady state physica1 capital grows with inflation. It is a1so shown that zero inflation and growth maximization are never the optimal policies.

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Os investimentos com publicidade na Internet como uma percentagem das despesas totais de publicidade variam significativamente de um país para outro. O número é tão baixo quanto 4,7% no mercado brasileiro e tão alto como 28,5% no mercado britânico (ZenithOptimedia, 2011b). Algumas razões explicam tal disparidade. No nível macro, a participação dos gastos com publicidade na Internet está fortemente ligada a variáveis como o produto interno bruto per capita e à penetração da Internet na população. No nível micro, uma pesquisa qualitativa foi feita para identificar os fatores que contribuem e inibem o crescimento da participação da publicidade online no mercado brasileiro. A vasta lista de inibidores parece ter profundo impacto sobre como os profissionais de mercado tomar decisões de alocação de investimento em publicidade por tipo de mídia. Devido à legislação, à auto-regulamentação e às dinâmicas da indústria, grande parte da tomada de decisão é realizada por agências de publicidade. Estas parecem ter fortes incentivos econômicos para selecionar outros tipos de mídia e não a Internet ao definir planos de mídia. Ao mesmo tempo, a legislação e a auto-regulamentação fornecem desincentivos para corretores de mídia a operar no mercado local. A falta de profissionais qualificados e a padronização limitada também desempenham papéis importante para inibir uma maior participação da Internet nos gastos com publicidade no Brasil. A convergência dos resultados quantitativos com os qualitativos indica possíveis motivos pelos quais a participação da publicidade online no Brasil é tão baixa. Em primeiro lugar, a participação é explicada pelo estágio de desenvolvimento dos países. Quanto mais rico e mais desenvolvido um país, maior a proporção de gastos com publicidade online tende a ser. Em segundo lugar, o estágio econômico emergente do Brasil potencialmente dá espaço para o aumento do ineficiências do mercado, tais como programas de descontos oferecidos de forma desproporcional para os principais decisores de alocação de investimentos de mídia. Este fato aparentemente produz um feedback negativo, contribuindo para manter a baixa participação da publicidade online no total dos investimentos publicitários.

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The objectives of these notes are two. The first objective is to analyze whether the strategy of growth with absorption of foreign savings leads to a trajectory of the economy that is sustainable in the long run. The second one is to evaluate the possibility of success of a policy of administered devaluation of the exchange rate in Brazil.

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A constraint satisfaction problem is a classical artificial intelligence paradigm characterized by a set of variables (each variable with an associated domain of possible values), and a set of constraints that specify relations among subsets of these variables. Solutions are assignments of values to all variables that satisfy all the constraints. Many real world problems may be modelled by means of constraints. The range of problems that can use this representation is very diverse and embraces areas like resource allocation, scheduling, timetabling or vehicle routing. Constraint programming is a form of declarative programming in the sense that instead of specifying a sequence of steps to execute, it relies on properties of the solutions to be found, which are explicitly defined by constraints. The idea of constraint programming is to solve problems by stating constraints which must be satisfied by the solutions. Constraint programming is based on specialized constraint solvers that take advantage of constraints to search for solutions. The success and popularity of complex problem solving tools can be greatly enhanced by the availability of friendly user interfaces. User interfaces cover two fundamental areas: receiving information from the user and communicating it to the system; and getting information from the system and deliver it to the user. Despite its potential impact, adequate user interfaces are uncommon in constraint programming in general. The main goal of this project is to develop a graphical user interface that allows to, intuitively, represent constraint satisfaction problems. The idea is to visually represent the variables of the problem, their domains and the problem constraints and enable the user to interact with an adequate constraint solver to process the constraints and compute the solutions. Moreover, the graphical interface should be capable of configure the solver’s parameters and present solutions in an appealing interactive way. As a proof of concept, the developed application – GraphicalConstraints – focus on continuous constraint programming, which deals with real valued variables and numerical constraints (equations and inequalities). RealPaver, a state-of-the-art solver in continuous domains, was used in the application. The graphical interface supports all stages of constraint processing, from the design of the constraint network to the presentation of the end feasible space solutions as 2D or 3D boxes.

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Obesity is rampant in modern society and growth hormone (GH) could be useful as adjunct therapy to reduce the obesity-induced cardiovascular damage. To investigate GH effects on obesity, initially 32 male Wistar rats were divided into two groups (n = 16): control (C) was fed standard-chow and water and hyper-caloric (H) was fed hypercaloric chow and 30% sucrose in its drinking water. After 45 days, both C and H groups were divided into two subgroups (n = 8): C + PL was fed standard-chow, water and received saline subcutaneously; C + GH was fed standard-chow, water, and received 2 mg/kg/day GH subcutaneously; H + PL was fed hypercaloric diet, 30% sucrose in its drinking water, and received saline subcutaneously; and H + GH was fed hypercaloric diet, 30% sucrose in its drinking water, and received GH subcutaneously. After 75 days of total experimental period, H + PL rats were considered obese, having higher body weight, body mass index, Lee-index, and atherogenic index (AI) compared to C + PL. Obesity was accompanied by enhanced myocardial lipid hydroperoxide (LH) and lactate dehydrogenase (LDH), as well of depressed energy expenditure (RMR) and oxygen consumption(VO(2))/body weight. H + GH rats had higher fasting RMR, as well as lower AI and myocardial LH than H + PL. Comparing C + GH with C + PL, despite no effects on morphometric parameters, lipid profile, myocardial LH, and LDH activity, GH enhanced fed RMR and myocardial pyruvate dehydrogenase. In conclusion, the present study brought new insights into the GH effects on obesity related cardiovascular damage demonstrating, for the first time, that GH regulated cardiac metabolic pathways, enhanced energy expenditure and improved the lipid profile in obesity condition. Growth hormone in standard fed condition also offered promising therapeutic value enhancing pyruvate-dehydrogenase activity and glucose oxidation in cardiac tissue, thus optimizing myocardial energy metabolism.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Background: Elderly patients with chronic obstructive pulmonary disease (COPD) usually have a compromised nutritional status which is an independent predictor of morbidity and mortality. To know the Resting Energy Expenditure (REE) and the substrate oxidation measurement is essential to prevent these complications. This study aimed to compare the REE, respiratory quotient (RQ) and body composition between patients with and without COPD.Methods: This case-control study assessed 20 patients with chronic obstructive pulmonary disease attending a pulmonary rehabilitation program. The group of subjects without COPD (control group) consisted of 20 elderly patients attending a university gym, patients of a private service and a public healthy care. Consumption of oxygen (O-2) and carbon dioxide (CO2) was determined by indirect calorimetry and used for calculating the resting energy expenditure and respiratory quotient. Body mass index (BMI) and waist circumference (WC) were also measured. Percentage of body fat (%BF), lean mass (kg) and muscle mass (kg) were determined by bioimpedance. The fat free mass index (FFMI) and muscle mass index (MMI) were then calculated.Results: The COPD group had lower BMI than control (p = 0.02). However, WC, % BF, FFMI and MM-I did not differ between the groups. The COPD group had greater RQ (p = 0.01), REE (p = 0.009) and carbohydrate oxidation (p = 0.002).Conclusions: Elderly patients with COPD had higher REE, RQ and carbohydrate oxidation than controls.