Estimativa da ingestão voluntária a partir das características de degradação do capim-coastcross (Cynodon dactylon L. Pers.), sob pastejo, por vacas em lactação

O consumo de matéria seca (CMS) do capim-coastcross, sob pastejo, de vacas lactantes mestiças (HPB x Gir) e Gir, foi calculado a partir da relação entre a digestibilidade in vitro da MS (DIVMS) da forragem (extrusa colhida com animais esôfago- fistulados) e a produção fecal obtida com auxílio do cromo mordante por meio de um modelo não-linear. A pastagem foi manejada com uma taxa de lotação de 1,6 e 3,2 animais/ha, respectivamente para as épocas seca e chuvosa do ano, num sistema de pastejo rotativo com três dias de ocupação e 27 dias de descanso. Quatro diferentes equações baseadas em variáveis de degradação ruminal foram utilizadas para predizer o consumo de MS: CMS = -1,19 + 0,035 (a+ b) + 28,5c (1), CMS = -0,822 + 0,0748 (a+ b) + 40,7c (2), CMS = -8,286 + 0,266a + 0,102b +17,696c (3) e CMS = [%FDN na MS]* [consumo de FDN ] / [(1-a-b)/K P +b/(c+ k p)]/24] (4). Os dados observados utilizando as equações 1 e 2 (12,2 e 12,7 kg/vaca/dia respectivamente) foram similares entre si e superiores aos resultados obtidos na equação 4 (7,8 kg/vaca/dia). Já o resultado obtido pela equação 3 (5,5 kg/vaca/dia) foi menor do que aqueles determinados pelas outras equações, subestimando o CMS calculado a partir do cromo mordante (6,3 kg/vaca/dia). A predição do consumo de forrageiras tropicais sob pastejo, utilizando equações baseadas nas variáveis de degradação, constitui um importante potencial para estas avaliações. Entretanto, mais estudos devem ser realizados antes de se usarem estas equações na prática.

Estrutura ANFIS modificada para identificação e controle de plantas com ampla faixa de operação e não linearidade acentuada

In this work a modification on ANFIS (Adaptive Network Based Fuzzy Inference System) structure is proposed to find a systematic method for nonlinear plants, with large operational range, identification and control, using linear local systems: models and controllers. This method is based on multiple model approach. This way, linear local models are obtained and then those models are combined by the proposed neurofuzzy structure. A metric that allows a satisfactory combination of those models is obtained after the structure training. It results on plant s global identification. A controller is projected for each local model. The global control is obtained by mixing local controllers signals. This is done by the modified ANFIS. The modification on ANFIS architecture allows the two neurofuzzy structures knowledge sharing. So the same metric obtained to combine models can be used to combine controllers. Two cases study are used to validate the new ANFIS structure. The knowledge sharing is evaluated in the second case study. It shows that just one modified ANFIS structure is necessary to combine linear models to identify, a nonlinear plant, and combine linear controllers to control this plant. The proposed method allows the usage of any identification and control techniques for local models and local controllers obtaining. It also reduces the complexity of ANFIS usage for identification and control. This work has prioritized simpler techniques for the identification and control systems to simplify the use of the method

Controlador preditivo não linear aplicado ao controle de golfadas em processos de produção de petróleo

Slugging is a well-known slugging phenomenon in multiphase flow, which may cause problems such as vibration in pipeline and high liquid level in the separator. It can be classified according to the place of its occurrence. The most severe, known as slugging in the riser, occurs in the vertical pipe which feeds the platform. Also known as severe slugging, it is capable of causing severe pressure fluctuations in the flow of the process, excessive vibration, flooding in separator tanks, limited production, nonscheduled stop of production, among other negative aspects that motivated the production of this work . A feasible solution to deal with this problem would be to design an effective method for the removal or reduction of the system, a controller. According to the literature, a conventional PID controller did not produce good results due to the high degree of nonlinearity of the process, fueling the development of advanced control techniques. Among these, the model predictive controller (MPC), where the control action results from the solution of an optimization problem, it is robust, can incorporate physical and /or security constraints. The objective of this work is to apply a non-conventional non-linear model predictive control technique to severe slugging, where the amount of liquid mass in the riser is controlled by the production valve and, indirectly, the oscillation of flow and pressure is suppressed, while looking for environmental and economic benefits. The proposed strategy is based on the use of the model linear approximations and repeatedly solving of a quadratic optimization problem, providing solutions that improve at each iteration. In the event where the convergence of this algorithm is satisfied, the predicted values of the process variables are the same as to those obtained by the original nonlinear model, ensuring that the constraints are satisfied for them along the prediction horizon. A mathematical model recently published in the literature, capable of representing characteristics of severe slugging in a real oil well, is used both for simulation and for the project of the proposed controller, whose performance is compared to a linear MPC

Tratamento do Centro de Atenção Psicossocial para usuários de álcool e outras drogas CAPSad II Leste Natal/RN : uma avaliação da efetividade

The treatment for abusive users of alcohol and other drugs suffered significant modifications until arriving to the psychosocial model that is used by Centro de Atenção Psicossocial CAPSad II Eastern Natal/RN (Psychosocial Support Center). That model appears starting from Brazilian sanitary and psychiatric reforms which are expressed in the principles and propositions of Sistema Único de Saúde SUS (Unique System of Health). The Psychiatric Reform meant a rupture with the mental hospital and hospital centered treatment pattern which was destined to the abusive users of alcohol and other drugs. The new proposal offers the universalization, democratization, regionalization and completeness of the actions in the field of mental health. It gathers a strictly interdisciplinary health staff. The purpose of this study is to evaluate the effectiveness of the treatment for abusive users of alcohol and other drugs offered by CAPSad II Eastern Natal/RN. The evaluation used, as priority, the qualitative social research through an evaluating study starting from the non-experimental model. The methodological process used different instruments of data collection: bibliographical and documental researches, systematic observations at CAPSad II Eastern Natal/RN and, mainly, the semistructured interviews (21) that were accomplished with the professionals, users and relatives of CAPSad II Eastern Natal/RN. The investigation showed the effectiveness of the service and, therefore, CAPSad II Eastern Natal/RN constitute itself as the main confronting strategy to the mental hospital and hospital centered treatment pattern of caring the abusive users of alcohol and other drugs

Um modelo conceitual baseado em MDD e padrões para evolução de sistemas OA

Aspect-Oriented Software Development (AOSD) is a technique that complements the Object- Oriented Software Development (OOSD) modularizing several concepts that OOSD approaches do not modularize appropriately. However, the current state-of-the art on AOSD suffers with software evolution, mainly because aspect definition can stop to work correctly when base elements evolve. A promising approach to deal with that problem is the definition of model-based pointcuts, where pointcuts are defined based on a conceptual model. That strategy makes pointcut less prone to software evolution than model-base elements. Based on that strategy, this work defines a conceptual model at high abstraction level where we can specify software patterns and architectures that through Model Driven Development techniques they can be instantiated and composed in architecture description language that allows aspect modeling at architecture level. Our MDD approach allows propagate concepts in architecture level to another abstraction levels (design level, for example) through MDA transformation rules. Also, this work shows a plug-in implemented to Eclipse platform called AOADLwithCM. That plug-in was created to support our development process. The AOADLwithCM plug-in was used to describe a case study based on MobileMedia System. MobileMedia case study shows step-by-step how the Conceptual Model approach could minimize Pointcut Fragile Problems, due to software evolution. MobileMedia case study was used as input to analyses evolutions on software according to software metrics proposed by KHATCHADOURIAN, GREENWOOD and RASHID. Also, we analyze how evolution in base model could affect maintenance on aspectual model with and without Conceptual Model approaches

Processos aleatórios não-markovianos: perfis de memória

One of the mechanisms responsible for the anomalous diffusion is the existence of long-range temporal correlations, for example, Fractional Brownian Motion and walk models according to Elephant memory and Alzheimer profiles, whereas in the latter two cases the walker can always "remember" of his first steps. The question to be elucidated, and the was the main motivation of our work, is if memory of the historic initial is condition for observation anomalous diffusion (in this case, superdiffusion). We give a conclusive answer, by studying a non-Markovian model in which the walkers memory of the past, at time t, is given by a Gaussian centered at time t=2 and standard deviation t which grows linearly as the walker ages. For large widths of we find that the model behaves similarly to the Elephant model; In the opposite limit (! 0), although the walker forget the early days, we observed similar results to the Alzheimer walk model, in particular the presence of amnestically induced persistence, characterized by certain log-periodic oscillations. We conclude that the memory of earlier times is not a necessary condition for the generating of superdiffusion nor the amnestically induced persistence and can appear even in profiles of memory that forgets the initial steps, like the Gausssian memory profile investigated here.

Clinical features associated to refractory obsessive-compulsive disorder

Some patients with obsessive-compulsive disorder (OCD) exhibit an unsatisfactory reduction in symptom severity despite being treated with all the available therapeutic alternatives. The clinical variables associated with treatment-refractoriness in OCD are inconsistently described in the literature.Methods: To investigate factors associated with treatment-reftactoriness of patients with OCD, we conducted a case-control study, comparing 23 patients with treatment-refractory OCD to 26 patients with treatment-responding OCD.Results: the factors associated with refractoriness of OCD were higher severity of symptoms since the onset of OCD (P < 0.001), chronic course (p=0.003), lack of a partner (p=0.037), unemployment (p=0.025), low economic status (p=0.015), presence of obsessive-compulsive symptoms of sexual/religious content (p=0.043), and higher scores on family accommodation (P < 0.001). Only the three latter variables remained significantly associated with treatment-reftactoriness after regression analyses. Limitations: small sample size, the biases and drawbacks inherent to a case-control study, and the inclusion criteria used to define the study groups may have limited the generalisation of the results.Conclusion: A major strength of this study is the systematic and structured evaluation of a vast array of variables related to the clinical expression of OCD, including epigenetic factors and ratings derived from instruments evaluating family accommodation. The presence of sexual/religious symptoms, low economic status and high modification on family function due to OCD were independently associated with, treatment-refractoriness. Future longitudinal studies are warranted to verify if these variables represent predictive factors of treatment non-response. (c) 2006 Elsevier B.V. All rights reserved.

The effect of 6% Hydroxyethyl starch vs. Ringer's lactate on acute kidney injury after renal ischemia in rats

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

Análise de barreiras e o modelo de ressonância funcional de acidentes de Erik Hollnagel

Partindo de apresentação da proposta de análise de acidentes baseada no modelo sistêmico e não linear de acidentes, dito de ressonância funcional, desenvolvido por Erik Hollnagel, este texto discute críticas às concepções deterministas de acidente e aos modelos lineares de representação desses eventos. Aspectos do modelo de ressonância funcional são usados como eixo definidor de proposta de agenda de discussões a ser desenvolvida pelos interessados no tema da análise de acidentes, destacando-se: a) a defesa do abandono da idéia de causas de acidentes e sua substituição pela de explicação desses eventos; b) apresentação dos conceitos de variabilidade de desempenhos e adaptações locais e a proposta de sua utilização como bases para a identificação de perfis ou aspectos típicos de acidentes. Por fim, discute-se a necessidade de incorporação dos conceitos apresentados no debate sobre novos caminhos para as práticas de análises e de prevenção de acidentes em nosso país.

The impact of soybean expansion on mammal and bird, in the Balsas region, north Brasilian Cerrado

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modeling the spatial and temporal heterogeneity of deforestation-driven carbon emissions: the INPE-EM framework applied to the Brazilian Amazon

We present a generic spatially explicit modeling framework to estimate carbon emissions from deforestation (INPE-EM). The framework incorporates the temporal dynamics related to the deforestation process and accounts for the biophysical and socioeconomic heterogeneity of the region under study. We build an emission model for the Brazilian Amazon combining annual maps of new clearings, four maps of biomass, and a set of alternative parameters based on the recent literature. The most important results are as follows: (a) Using different biomass maps leads to large differences in estimates of emission; for the entire region of the Brazilian Amazon in the last decade, emission estimates of primary forest deforestation range from 0.21 to 0.26 similar to Pg similar to C similar to yr-1. (b) Secondary vegetation growth presents a small impact on emission balance because of the short duration of secondary vegetation. In average, the balance is only 5% smaller than the primary forest deforestation emissions. (c) Deforestation rates decreased significantly in the Brazilian Amazon in recent years, from 27 similar to Mkm2 in 2004 to 7 similar to Mkm2 in 2010. INPE-EM process-based estimates reflect this decrease even though the agricultural frontier is moving to areas of higher biomass. The decrease is slower than a non-process instantaneous model would estimate as it considers residual emissions (slash, wood products, and secondary vegetation). The average balance, considering all biomass, decreases from 0.28 in 2004 to 0.15 similar to Pg similar to C similar to yr-1 in 2009; the non-process model estimates a decrease from 0.33 to 0.10 similar to Pg similar to C similar to yr-1. We conclude that the INPE-EM is a powerful tool for representing deforestation-driven carbon emissions. Biomass estimates are still the largest source of uncertainty in the effective use of this type of model for informing mechanisms such as REDD+. The results also indicate that efforts to reduce emissions should focus not only on controlling primary forest deforestation but also on creating incentives for the restoration of secondary forests.

Strength of the trilinear Higgs boson coupling in technicolor models

We discuss the strength of the trilinear Higgs boson coupling in technicolor (or composite) models in a model independent way. The coupling is determined as a function of a very general ansatz for the technicolor self-energy, and turns out to be equal or smaller than the one of the Standard Model Higgs boson depending on the dynamics of the theory. (c) 2006 Published by Elsevier B.V.

Transition amplitudes for the nonmesonic hypernuclear decay

We give general expressions for the two-body decomposition of the transition amplitudes for the nonmesonic decay of Lambda-hypernuclei within a finite-nucleus shell-model approach.

Relativistic particle dynamics in D=2+1

We propose a SUSY variant of the action for a massless spinning particles via the inclusion of twistor variables. The action is constructed to be invariant under SUSY transformations and tau-reparametrizations even when an interaction field is including. The constraint analysis is achieved and the equations of motion are derived. The commutation relations obtained for the commuting spinor variables lambda(alpha) show that the particle states have fractional statistics and spin. At once we introduce a possible massive term for the non-interacting model.

Synthesis of chitosan/hydroxyapatite membranes coated with hydroxycarbonate apatite for guided tissue regeneration purposes

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)