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  • 1
    Electronic Resource
    Electronic Resource
    Neurochemical research 24 (1999), S. 1037-1042 
    ISSN: 1573-6903
    Keywords: Lead acetate ; adenylate cyclase ; 5′-guanylylimidodiphosphate ; forskolin ; cerebral cortex
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract Lead decreased in a dose dependent manner the basal AC activity in membranes of rat cerebral cortex (IC50 = 2.5 ± 0.1 μM). In membranes preincubated under basal conditions, AC activity was stimulated by approximately two and fourfold by 10 μM Gpp(NH)p or forskolin, respectively. Under basal conditions, lead (3 μM) inhibited enzyme activity up to 50%, but was not able to inhibit the Gpp(NH)p- or the forskolin-stimulated AC activity. However, in membranes preincubated with Gpp(NH)p (10 μM), lead (3 μM) had no significant effect on enzyme activity, but it partly blocked the stimulation of AC activity elicited by forskolin (10 μM). In membranes preincubated with 10 μM lead, the addition of 10 μM Gpp(NH)p or forskolin in the incubation medium did not stimulate AC activity. However, when added together in the incubation medium Gpp(NH)p + forskolin produced an increase in enzyme activity. In membranes preincubated with 10 μM lead + 10 μM Gpp(NH)p, Gpp(NH)p (10 μM) or forskolin (10 μM) added alone or in combination to the incubation medium did not stimulate AC activity. Moreover, under these latter conditions lead had no further effect on enzyme activity. These results indicate that lead may interact with G-proteins and with the catalytic subunit of cerebral cortical AC to produce inhibition of the enzyme activity.
    Type of Medium: Electronic Resource
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  • 2
    s.l.: PRME Regional Chapter Brazil, UNDP Office Brazil
    Publication Date: 2018-01-19
    Description: The aim of this paper is to create an indicator that compares the efficiency of countries in converting economic complexity into human development through the Data Envelopment Analysis (DEA) method and econometric validation. The DEA will not only enable comparisons of efficiency across countries, but will also enable the creation of a global indicator and social efficiency rankings.
    Description: O objetivo deste trabalho é criar um indicador que compare a eficiência dos países na conversão da complexidade econômica em desenvolvimento humano através do método de análise de envolvimento de dados (DEA) e validação econométrica. A DEA não só permitirá comparações de eficiência entre países, mas também permitirá a criação de um indicador global e rankings de eficiência social.
    Keywords: O3 ; O4 ; ddc:330 ; Economic Complexity ; Human Development ; Data Envelopment Analysis
    Language: English
    Type: doc-type:conferenceObject
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  • 3
    São Carlos: Universidade Federal de São Carlos | ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft Kiel, Hamburg
    Publication Date: 2020-04-24
    Description: Economic growth is not the unique factor to explain human development. Due to that many authors have prioritized studies to measure the Human Development Index. However, these indices do not analyze how Economic Complexity can increase Human Development. The aim of this paper is to determine the efficiency of a set of nations from Latin America and Asia, to measure a country’s performance in converting Economic Complexity into Human Development, between 2010 and 2014. The method used was Data Envelopment Analysis (DEA), through the Variable Returns of Scale (VRS) Model and Window Analysis. Results showed in 2014, all Asian countries were efficient except China and the Philippines, and Cuba was the benchmark for inefficient countries. Window Analysis showed Japan, Republic of Korea and Singapore were efficient over time. This result confirms the initial hypothesis of this article: the more complex countries are more efficient in generating Human Development.
    Description: Article accepted for publication in the journal Gestão & Produção.
    Description: O crescimento econômico não é o único fator que explica o desenvolvimento humano. Neste aspecto, índices sobre a qualidade de vida têm sido recorrentes na literatura. Entretanto, estes índices não analisam como a complexidade econômica é convertida em desenvolvimento humano. O objetivo deste artigo é mensurar a eficiência dos países latino americanos e asiáticos em converter complexidade econômica em desenvolvimento humano, entre 2010 e 2014. O método utilizado foi o Data Envelopment Analysis (DEA), por meio do modelo de Retornos Variáveis à Escala (BCC) e Análise de Janela. Os resultados demonstraram que, em 2014, todos os países asiáticos foram eficientes, exceto a China e Filipinas. Neste ano, Cuba foi o país que mais serviu de benchmark para os países ineficientes. A análise em janela demonstrou que apenas Japão, Coréia do Sul e Singapura se mantiveram eficientes ao longo do tempo. Este resultado confirma a hipótese inicial deste artigo: economias mais complexas são mais eficientes em gerar desenvolvimento humano.
    Keywords: O15 ; O32 ; ddc:330 ; Data Envelopment Analysis (DEA) ; Window Analysis ; Economic Complexity ; Human Development
    Language: English
    Type: doc-type:article
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