892 resultados para O41 - One, Two, and Multisector Growth Models
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Copyright © 2014 The Authors. Oikos © 2014 Nordic Society Oikos.
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In this paper we study a model for HIV and TB coinfection. We consider the integer order and the fractional order versions of the model. Let α∈[0.78,1.0] be the order of the fractional derivative, then the integer order model is obtained for α=1.0. The model includes vertical transmission for HIV and treatment for both diseases. We compute the reproduction number of the integer order model and HIV and TB submodels, and the stability of the disease free equilibrium. We sketch the bifurcation diagrams of the integer order model, for variation of the average number of sexual partners per person and per unit time, and the tuberculosis transmission rate. We analyze numerical results of the fractional order model for different values of α, including α=1. The results show distinct types of transients, for variation of α. Moreover, we speculate, from observation of the numerical results, that the order of the fractional derivative may behave as a bifurcation parameter for the model. We conclude that the dynamics of the integer and the fractional order versions of the model are very rich and that together these versions may provide a better understanding of the dynamics of HIV and TB coinfection.
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INTRODUCTION: Forecasting dengue cases in a population by using time-series models can provide useful information that can be used to facilitate the planning of public health interventions. The objective of this article was to develop a forecasting model for dengue incidence in Campinas, southeast Brazil, considering the Box-Jenkins modeling approach. METHODS: The forecasting model for dengue incidence was performed with R software using the seasonal autoregressive integrated moving average (SARIMA) model. We fitted a model based on the reported monthly incidence of dengue from 1998 to 2008, and we validated the model using the data collected between January and December of 2009. RESULTS: SARIMA (2,1,2) (1,1,1)12 was the model with the best fit for data. This model indicated that the number of dengue cases in a given month can be estimated by the number of dengue cases occurring one, two and twelve months prior. The predicted values for 2009 are relatively close to the observed values. CONCLUSIONS: The results of this article indicate that SARIMA models are useful tools for monitoring dengue incidence. We also observe that the SARIMA model is capable of representing with relative precision the number of cases in a next year.
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The emergence of the so-called “European Paradox” shows that R&D investment is not maximally effective and that increasing the scale of public R&D expenditures is not sufficient to generate employment and sustained economic growth. Increasing Governmental R&D Investment is far from being a “panacea” for stagnant growth. It is worth noting that Government R&D Investment does not have a statistically significant impact on employment, indicating the need to assess the trade-offs of policies that could lead to significant increases in government expenditure. Surprisingly, Governmental R&D Employment does not contribute to “mass-market” employment, despite its quite important role in reducing Youth-Unemployment. Despite the negative side-effects of Governmental R&D Employment on both GVA and GDP, University R&D Employment appears to have a quite important role in reducing Unemployment, especially Youth-Unemployment, while it also does not have a downside in terms of economic growth. Technological Capacity enhancement is the most effective instrument for reducing Unemployment and is a policy without any downside regarding sustainable economical development. In terms of wider policy implications, the results reinforce the idea that European Commission Research and Innovation policies must be restructured, shifting from a transnational framework to a more localised, measurable and operational approach.
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The Amazon has a high diversity of fungi, including species of the genus Daldinia (Ascomycota, Xylariaceae), which produce secondary metabolites with recognized nematicidal and antimicrobial activity. The ecological role of Daldinia is important, as stromata serve as refuges to many insects and arthropodes, and the fungi contribute to the degradation of vegetable organic matter. The aim of this study was to analyze the taxonomic features and mycelial growth conditions in vitro of a Daldinia specimen collected in the Brazilian Amazon. Morphological and molecular studies of the fungus identified it as D. eschscholtzii. To evaluate mycelial growth, we cultivated the fungus at 20, 25, 30, 35, and 40 °C in malt extract-peptone agar (MEPA), malt extract-peptone (MEP), potato dextrose (PD), and minimum medium (MM). The best mycelial growth occurred at 35 °C, although the greatest amount of biomass was obtained at 25 °C and 30 °C. PD proved to be the best medium for biomass production.
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A 14-year-old female patient became pregnant 6 years after heart transplantation. The pregnancy evolved uneventfully, and the newborn infant was healthy. Five months after delivery, the mother was in good condition with preserved ventricular function, and the baby had normal neuro-psychomotor development. Even though the case reported here was a success, pregnancy following cardiac transplantation is considered a high-risk condition and remains contraindicated.
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To determine differences between pregnant women diagnosed with Dysthymia versus Major Depression, depressed pregnant women (N=102) were divided by their diagnosis into Dysthymic (N=48) and Major Depression (N=54) groups and compared on self-report measures (depression, anxiety, anger, daily hassles and behavioral inhibition), on stress hormone levels (cortisol and norepinephrine), and on fetal measurements. The Major Depression group had more self-reported symptoms. However, the Dysthymic group had higher prenatal cortisol levels and lower fetal growth measurements (estimated weight, femur length, abdominal circumference) as measured at their first ultrasound (M=18 weeks gestation). Thus, depressed pregnant women with Dysthymia and Major Depression appeared to have different prenatal symptoms.
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El desarrollo y funcionamiento del sistema nervioso dependen de la formación de circuitos neuronales específicos y de programas intrínsecos y extrínsecos que actúan como moduladores del desarrollo neuronal. Inicialmente, los neuroblastos "sensan" a través de receptores específicos, la presencia en el medio de factores de crecimiento, como neurotrofinas clásicas (BDNF, NGF, etc), IGF-1, factores Wnts, que regulan la diferenciación neuronal, polarización, migración, etc. Hasta hace pocos años, las funciones específicas de los diferentes sistemas de factor de crecimiento-receptor en el establecimiento de polaridad y la regulación del crecimiento axonal eran mayormente desconocidas. Más recientemente, trabajos de nuestro y otros grupos de investigación han aportado significativamente al conocimiento de los mecanismos que involucran los sistemas IGF-1-receptor de IGF-1, BDNF-TrkB y NGF-TrkA sobre el desarrollo de polaridad neuronal. Sin embargo, si bien se conoce que los factores de crecimiento Wnt cumplen un rol crucial en eventos que ocurren durante la maduración neuronal (dendritogénesis, sinaptogénesis) poco se sabe sobre los mecanismos por los cuales estos factores regularían el establecimiento inicial de polaridad y el crecimiento axonal. Los factores Wnt como así también su primer efector intracelular Dishevelled (DVL) y sus cascadas de señalización participan de procesos como neurogénesis, guiado axonal, desarrollo dendrítico y formación y mantenimiento de sinápsis. Por estas razones, para el desarrollo del presente proyecto planeamos estudiar los efectos de los factores Wnts, su receptor Frizzled (Fz) y su efector DVL sobre el establecimiento de polaridad y la regulación del crecimiento axonal. También compararemos los efectos de los factores Wnt con los de IGF-1 (el único factor de crecimiento conocido esencial para el establecimiento de polaridad). Finalmente, intentaremos determinar cuál o cuáles de las cascadas intracelulares de señalización activadas por los Wnts están involucradas en sus efectos axogénicos. La metodología a utilizar se basará en el empleo de cultivos primarios de neuronas de hipocampo de embriones de rata de 18 días de gestación, los que serán expuestos a los factores Wnt y/o IGF-1. Se diseñarán experimentos tendientes a evaluar los efectos de dichos factores durante los diferentes estadíos de diferenciación neuronal que se analizarán por microscopía de fluorescencia confocal. Al mismo tiempo se realizarán ensayos de subfraccionamiento que permitan purificar conos de crecimiento aislados en los que se evaluará el rol local de Wnt y sus efectores sobre la fosforilación de quinasas que median la adición local de membrana y elongación axonal. Se examiná el rol de DVL sobre la especificación axonal a través de la expresión epistática en neuronas no diferenciadas como así también se bloqueará su expresión a tavés del uso de siRNA o cDNAs que actúen como dominantes negativas. Finalmente, se examinará una posible "transactivación" por IGF-1 o Wnts de sus receptores o primeros efectores intracelulares específicos, IRS-1- PI3K para IGF-1 y Dishevelled para Wnts. Para ello, se diseñarán experimentos en los que se utilizarán inhibidores farmacológicos específicos y se realizan ensayos de fosforilación en conos de crecimiento aislados y en cultivos neuronales. Los resultados serán cuantificados y sometidos softwares estadísticos adecuados.El desarrollo de estos experimentos nos permitirá examinar posibles paralelismos entre la activación del sistema Wnt-Frizzled-Dishevelled y del sistema IGF-1-Receptor de IGF-1-PI3K, el único sistema factor de crecimiento-receptor conocido esencial para el establecimiento de la polaridad neuronal y así poder lograr un acercamiento al/los posible mecanismo/s que regula/n la diferenciación neuronal y el crecimiento axonal.
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