Empirical global value chain analysis in electronics and automobile industries :An application of Asian international input-output tables

This study aims to examine the international value distribution structure among major East Asian economies and the US. The mainstream trade theory explains the gains from trade; however, global value chain (GVC) approach emphasises uneven benefits of globalization among trading partners. The present study is mainly based on this view, examining which economy gains the most and which the least from the East Asian production networks. Two key industries, i.e., electronics and automobile, are our principle focus. Input-output method is employed to trace the creation and flows of value-added within the region. A striking fact is that some ASEAN economies increasingly reduce their shares of value-added, taken by developed countries, particularly by Japan. Policy implications are discussed in the final section.

Lugares comunes de conceptos, dichos, y sentencias, en diuersas materias / compuesto por ... Ioan de Aranda...

El colofón aparece fechado en 1594

Lugares comunes de conceptos, dichos, y sentencias, en diuersas materias / compuesto por el Licenciado Ioan de Aranda ...

Primera fecha tomada del colofón en 2E3v

Barnabae Brissonii ... De formulis et sollemnibus Populi Romani verbis, libri VIII

El colofón aparece fechado en 1582

Barnabae Brissonii ... De formulis et sollemnibus Populi Romani verbis, libri VIII

Error de pag., pasa de p. 780 a 791

Segunda parte de la decada primera de la historia de la ... ciudad y Reyno de Valencia [Texto impreso]

En preliminares tabla de linages y tablas de ciudades

The use of geographic information systems for the optimal location of biomass power plants in the Madrid Community (Spain)

This article has been extracted from the results of a thesis entitled “Potential bioelectricity production of the Madrid Community Agricultural Regions based on rye and triticale biomass.” The aim was, first, to quantify the potential of rye (Secale Cereale L.) and triticale ( Triticosecale Aestivum L.) biomass in each of the Madrid Community agricultural regions, and second, to locate the most suitable areas for the installation of power plants using biomass. At least 17,339.9 t d.m. of rye and triticale would be required to satisfy the biomass needs of a 2.2 MW power plant, (considering an efficiency of 21.5%, 8,000 expected operating hours/year and a biomass LCP of 4,060 kcal/kg for both crops), and 2,577 ha would be used (which represent 2.79% of the Madrid Community fallow dry land surface). Biomass yields that could be achieved in Madrid Community using 50% of the fallow dry land surface (46,150 ha representing 5.75% of the Community area), based on rye and triticale crops, are estimated at 84,855, 74,906, 70,109, 50,791, 13,481, and 943 t annually for the Campiña, Vegas, Sur Occidental, Área Metropolitana, Lozoya-Somosierra, and Guadarrama regions. The latter represents a bioelectricity potential of 10.77, 9.5, 8.9, 6.44, 1.71, and 0.12 MW, respectively.

Ministério Público do Trabalho : prerrogativas do ofício são comunicáveis à sua atuação como parte? / José Severino da Silva Pitas. --

Jornal trabalhista : paginação decrescente.

Bootstrap confidence levels for phylogenetic trees.

Evolutionary trees are often estimated from DNA or RNA sequence data. How much confidence should we have in the estimated trees? In 1985, Felsenstein [Felsenstein, J. (1985) Evolution 39, 783-791] suggested the use of the bootstrap to answer this question. Felsenstein's method, which in concept is a straightforward application of the bootstrap, is widely used, but has been criticized as biased in the genetics literature. This paper concerns the use of the bootstrap in the tree problem. We show that Felsenstein's method is not biased, but that it can be corrected to better agree with standard ideas of confidence levels and hypothesis testing. These corrections can be made by using the more elaborate bootstrap method presented here, at the expense of considerably more computation.

Vip3A, a novel Bacillus thuringiensis vegetative insecticidal protein with a wide spectrum of activities against lepidopteran insects.

A novel vegetative insecticidal gene, vip3A(a), whose gene product shows activity against lepidopteran insect larvae including black cutworm (Agrotis ipsilon), fall armyworm (Spodoptera frugiperda), beet armyworm (Spodoptera exigua), tobacco budworm (Heliothis virescens), and corn earworm (Helicoverpa zea) has been isolated from Bacillus thuringiensis strain AB88. VIP3-insecticidal gene homologues have been detected in approximately 15% of Bacillus strains analyzed. The sequence of the vip3A(b) gene, a homologue of vip3A(a) isolated from B. thuringiensis strain AB424 is also reported. Vip3A(a) and (b) proteins confer upon Escherichia coli insecticidal activity against the lepidopteran insect larvae mentioned above. The sequence of the gene predicts a 791-amino acid (88.5 kDa) protein that contains no homology with known proteins. Vip3A insecticidal proteins are secreted without N-terminal processing. Unlike the B. thuringiensis 5-endotoxins, whose expression is restricted to sporulation, Vip3A insecticidal proteins are expressed in the vegetative stage of growth starting at mid-log phase as well as during sporulation. Vip3A represents a novel class of proteins insecticidal to lepidopteran insect larvae.

El análisis de los efectos de la escuela sobre el rendimiento académico en matemáticas: un análisis multinivel con datos de PISA 2003

Esta investigación, enmarcada dentro del movimiento sobre Eficacia de la Escuela, realiza una explotación parcial de los datos PISA 2003, para el territorio español, obtenidos en la investigación llevada a cabo por la OCDE. El alumnado español que ha participado en el estudio PISA, supone un total de 10.791 estudiantes de 383 centros de Educación Secundaría pertenecientes a varias Comunidades Autónomas. Las variables predictoras que forman parte de la investigación se obtienen de alumno y del centro. La variable de respuesta, desde un enfoque criterial, establece información sobre el nivel de competencias alcanzado por el alumno en matemáticas. Los resultados del análisis multinivel proporcionan diferentes modelos que tratan de explicar la variabilidad observada entre los centros a través de la incorporación de sus variables. El modelo resultante reconoce que las variables de centro: titularidad, porcentaje de alumnas, fomento de actividades matemáticas y compromiso y moral del alumnado se relacionan con el rendimiento en matemáticas.