Impacts of energy taxation in the enlarged European Union, evaluation with GEM-E3 Europe

The objective of this study is twofold: first to analyze how the implementation of the EU energy tax policies will affect the EU and its Member States and secondly to analyze how energy tax policies can contribute to climate policy objectives in the enlarged EU.

Online document repository for GEM Website (2016)

Resources created at University of Southampton for the module GIS for Environmental Management (GEM)

Qualitätssicherung an österreichischen Hochschulen. Eine Bestandsaufnahme. Bericht gemäß §28 HS-QSG zum Stand 2015

Die AQ Austria ist durch das Hochschul-Qualitätssicherungsgesetz (HS-QSG) beauftragt, alle drei Jahre einen Bericht zur Entwicklung der Qualitätssicherung an hochschulischen Bildungseinrichtungen zu erstellen. In diesem ersten Bericht werden Gemeinsamkeiten und Spezifika der drei Hochschulsektoren – öffentliche Universitäten, Privatuniversitäten und Fachhochschulen – bei der Gestaltung des internen Qualitätsmanagements sowie bei den Maßnahmen der Qualitätssicherung und –entwicklung aufgezeigt. Die aktuellen Themenbereiche und Fragestellungen sind in die nationalen Rahmenbedingungen eingebettet, innerhalb derer die österreichischen Hochschulen agieren und die die Qualitätssicherung an den österreichischen Hochschulen mitbestimmen.

GEM Colombia 2009

La realización en Colombia, por cuarta vez consecutiva, del Global Entrepreneurship Monitor permitió observar que Colombia continúa teniendo uno de los niveles mundiales más altos en la tasa total de la nueva actividad empresarial (TEA). Para el año 2009 ésta fue del 22,38%, compuesta por una tasa de empresarios nacientes, del 14,98%, y por una tasa de nuevos empresarios, del 7,98%. Durante el ciclo de los cuatro años estos valores han permanecido relativamente estables, entre el 22,4% y el 22,7%. Sólo en 2008 se logró un valor del 24,52%. Esta estabilidad contrasta con las variaciones que los indicadores de desarrollo económico del país han tenido durante estos cuatro años.

Presentación - GEM Colombia 2009

Reporte Anual Colombia 2009

GEM Colombia 2010, Reporte

El GEM es un proyecto de investigación, el cual se realiza a través de un consorcio internacional de investigadores con el fin de monitorear la actividad de creación de empresas en los países que de él hagan parte. Para el año 2010, el proyecto contó con representantes de 59 países en los cinco continentes. En Colombia, este proyecto lo realiza un equipo integrado por la Universidad del Norte, la Pontificia Universidad Javeriana Cali, la Universidad de los Andes y la Universidad Icesi.

Ventilation behavior in trained and untrained men during incremental test: evidence of one metabolic transition point

This study aimed to describe and compare the ventilation behavior during an incremental test utilizing three mathematical models and to compare the feature of ventilation curve fitted by the best mathematical model between aerobically trained (TR) and untrained ( UT) men. Thirty five subjects underwent a treadmill test with 1 km.h(-1) increases every minute until exhaustion. Ventilation averages of 20 seconds were plotted against time and fitted by: bi-segmental regression model (2SRM); three-segmental regression model (3SRM); and growth exponential model (GEM). Residual sum of squares (RSS) and mean square error (MSE) were calculated for each model. The correlations between peak VO2 (VO2PEAK), peak speed (Speed(PEAK)), ventilatory threshold identified by the best model (VT2SRM) and the first derivative calculated for workloads below (moderate intensity) and above (heavy intensity) VT2SRM were calculated. The RSS and MSE for GEM were significantly higher (p < 0.01) than for 2SRM and 3SRM in pooled data and in UT, but no significant difference was observed among the mathematical models in TR. In the pooled data, the first derivative of moderate intensities showed significant negative correlations with VT2SRM (r = -0.58; p < 0.01) and Speed(PEAK) (r = -0.46; p < 0.05) while the first derivative of heavy intensities showed significant negative correlation with VT2SRM (r = -0.43; p < 0.05). In UT group the first derivative of moderate intensities showed significant negative correlations with VT2SRM (r = -0.65; p < 0.05) and Speed(PEAK) (r = -0.61; p < 0.05), while the first derivative of heavy intensities showed significant negative correlation with VT2SRM (r= -0.73; p < 0.01), Speed(PEAK) (r = -0.73; p < 0.01) and VO2PEAK (r = -0.61; p < 0.05) in TR group. The ventilation behavior during incremental treadmill test tends to show only one threshold. UT subjects showed a slower ventilation increase during moderate intensities while TR subjects showed a slower ventilation increase during heavy intensities.

Increased expression of mitochondrial genes in human alcoholic brain revealed by differential display

Polymerase chain reaction (PCR)-based differential display was used to screen for alterations in gene expression in the mesolimbic system of the human alcoholic brain. Total RNA was extracted from the nucleus accumbens of five alcoholic and five control brains. A selected subpopulation of mRNA was reverse-transcribed to cDNA and amplified by PCR. A differentially expressed cDNA fragment was recovered, cloned, and sequenced. Full sequence analysis of this 467 bp fragment revealed 98.2% homology with the human mitochondrial 12S rRNA gene. Dot-blot analysis showed increased expression of this gem in nucleus accumbens and hippocampus, but not in the superior frontal cortex, primary motor cortex, caudate, and pallidus/putamen In a total of eight human alcoholic brains, compared with seven control brains. A similar increased expression was observed by dot-blot analysis, using RNA from the cerebral cortex of rats chronically treated with alcohol vapor. Hybridization of a 16S rRNA oligonucleotide probe indicated that the expression of both rRNAs genes was significantly increased in nucleus accumbens. These results indicate that chronic alcohol consumption induces alteration in expression of mitochondrial genes in selected brain regions. The altered gene expression may reflect mitochondrial dysfunction In the alcohol-affected brain.

Synthesis of (Z)-tributylstannyl enynes: systematic studies of Sonogashira cross-coupling reactions between (E)-1-iodovinyl-1-tributylstannanes and terminal acetylenes using amines or tetrabutylammonium hydroxide (TBAOH) as activator

Sonogashira cross-coupling reactions involving (E)-iodo vinyl stannanes and terminal acetylenes were carried out in the presence of Pd(PPh(3))(4), Cul and several amines, affording (Z)-tributylstannyl enynes in moderate to good yields (62-91%). Utilizing the catalytic system containing Pd(PPh(3))(4) (5%), Cul (10%), and TBAOH (40% in aqueous media) as activator, better yields (72-91%) and lower reaction times were achieved. (C) 2011 Elsevier Ltd. All rights reserved.

Gender inequality, poverty and human development in Kenya: Main indicators, trends and limitations

Indicators of gender inequality, poverty and human development in Kenya are examined. Significant and rising incidence of absolute poverty occurs in Kenya and women are more likely to be in poverty than men. Female/male ratios in Kenyan decision-making institutions are highly skewed against women and they experience unfavourable enrolment ratios in primary, secondary and tertiary institutions. The share of income earned by women is much lower than men's share. General Kenyan indicators highlight declining GDP per capita, increased poverty rates especially for women, reduced life expectancy, a narrowing of the difference in female/male life expectancy rates, increased child mortality rates and an increase in the female child mortality rates. This deterioration results in an increased socio-economic burden on women, not adequately captured in the HPI, HDI, GDI and GEM. This paper advocates the use of household level gender disaggregated data because much gender inequality occurs in and emanates from the household level where culture plays a very important role in allocation of resources and decision-making. Because most human development indicators are aggregates or averages, they can be misleading. They need to be supplemented by distributional and disaggregated data as demonstrated in the Kenyan case. The importance is emphasised of studying coping mechanisms of household/families for dealing with economic hardship and other misfortunes, such AIDS.

A critical note on UNDP's gender inequality indices

This paper analyses the different indices applied for the measurement of human development as constructed by the United Nations Development Program. Of special interest is the Gender Development Index (GDI), introduced in the 1995 Human Development Report and the Gender Empowerment Measure (GEM). In light of the mate bias in the Indian socioeconomic context, the application of the GDI and GEM acquires special significance. A critical appraisal of their theoretical base and their application has been undertaken in this paper. The conclusion is that GDI and GEM. although praise-worthy achievements on the part of the UNDP, do not adequately reflect or measure male/female disparity in the Indian context. Both indices suffer from the weakness of employing a pre-assigned value of the Gender Sensitive Equity Indicator. They also exhibit several other shortcomings, outlined here. GDI is a poor indicator of the relative deprivation of females as shown by our analysis of the relationship between the GDI and the female/male ratio for 16 Indian core states.

Jovem empreendedor no Brasil: a busca do espaço da realização ou a fuga da exclusão?

Este artigo focaliza a trajetória do jovem brasileiro (18-24 anos) no empreendedorismo no período de 2001-08. Com base em dados da Pesquisa GEM, analisa-se a participação do jovem empreendedor da América Latina e do Bris (Brasil, Rússia, Índia e África do Sul). Priorizam-se as atividades empreendedoras iniciais do jovem, sua motivação (empreender por necessidade ou oportunidade), características de renda, escolaridade, tipo de atividade e políticas públicas. Associando métodos quantitativos e qualitativos, descreve-se o perfil da atividade empreendedora do jovem brasileiro contextualizando-a a partir de fontes secundárias como o IBGE, BID, PNAD, OIT e OMS. Observou-se que no Brasil a maior parte dos jovens são autoempregadores, empregam poucas pessoas em seus negócios e com pouca estrutura para enfrentamento de riscos. Baixo índice de escolaridade, entre outros fatores, encaminham o negócio no sentido de uma probabilidade maior de fracasso. Empreendimentos que sobrevivem não resultam em impactos econômicos, mantendo de forma precária a sobrevivência de um grande número de jovens, excluídos do mercado de trabalho formal. Por outro lado, os jovens que empreendem por oportunidade são um grupo relativamente pequeno. Eles identificam oportunidades e têm melhores habilidades para sustentá-las. Por fim, destaca-se que o apoio e a sustentabilidade do jovem empreendedor dependem do contexto geral e de políticas educacionais.

Learning dependent sources using mixtures of Dirichlet: applications on hyperspectral unmixing

This paper is an elaboration of the DECA algorithm [1] to blindly unmix hyperspectral data. The underlying mixing model is linear, meaning that each pixel is a linear mixture of the endmembers signatures weighted by the correspondent abundance fractions. The proposed method, as DECA, is tailored to highly mixed mixtures in which the geometric based approaches fail to identify the simplex of minimum volume enclosing the observed spectral vectors. We resort then to a statitistical framework, where the abundance fractions are modeled as mixtures of Dirichlet densities, thus enforcing the constraints on abundance fractions imposed by the acquisition process, namely non-negativity and constant sum. With respect to DECA, we introduce two improvements: 1) the number of Dirichlet modes are inferred based on the minimum description length (MDL) principle; 2) The generalized expectation maximization (GEM) algorithm we adopt to infer the model parameters is improved by using alternating minimization and augmented Lagrangian methods to compute the mixing matrix. The effectiveness of the proposed algorithm is illustrated with simulated and read data.

Dependent component analysis: a hyperspectral unmixing algorithm

Linear unmixing decomposes a hyperspectral image into a collection of reflectance spectra of the materials present in the scene, called endmember signatures, and the corresponding abundance fractions at each pixel in a spatial area of interest. This paper introduces a new unmixing method, called Dependent Component Analysis (DECA), which overcomes the limitations of unmixing methods based on Independent Component Analysis (ICA) and on geometrical properties of hyperspectral data. DECA models the abundance fractions as mixtures of Dirichlet densities, thus enforcing the constraints on abundance fractions imposed by the acquisition process, namely non-negativity and constant sum. The mixing matrix is inferred by a generalized expectation-maximization (GEM) type algorithm. The performance of the method is illustrated using simulated and real data.