p75 and Trk oncoproteins expression is developmentally regulated in the inner ear of human embryos

2 páginas, 1 figura, 1 tabla.-- et al.Peer Reviewe

Characterization of BTEX emission sources in the Greater La Plata urban conglomerate using receptor models

Estudios previos en la región identifican a la industria petroquímica y al tráfico como las principales fuentes de emisión de BTEX. Para profundizar estos estudios, se aplicaron diferentes herramientas para caracterizar las fuentes emisoras. El Análisis de Componentes Principales (PCA) fue utilizado para cuantificar las fuentes de BTEX y los Métodos No Paramétricos para estimar la concentración en el espacio. Uno de estos, Nonparametric Wind Regression (NWR) es usado para obtener la relación entre la concentración y las componentes del viento. Su complemento, Source Apportionment (SA), relaciona las mayores contribuciones en función de las direcciones. A continuación, Nonparametric Trajectory Analysis (NTA) fue usado para estimar la concentración de BTEX en una coordenada geográfica. El resultado permitió describir las características de cada área dentro de la región: zonas residenciales y urbanas evidencian predominancia de una única fuente, presumiblemente asociada con el tráfico, mientras que la zona industrial presenta la contribución de dos fuentes principales, presumiblemente la industria petroquímica y el tráfico.Previous studies in the region identify the petrochemical industry and traffic as the main sources of BTEX emission. In order to further these studies, different tools were applied to characterize the emission sources. Principal Components Analysis (PCA) was used to quantify BTEX sources and Nonparametric Methods to estimate the concentration in the space. One of them, Nonparametric Wind Regression (NWR) was used to obtain the relationship between concentration and the wind components. Its complement, Source Apportionment (SA), relates higher contributions as a function of the directions. Afterwards, Nonparametric Trajectory Analysis (NTA) was used to estimate the concentration of BTEX on a geographical coordinate. The result allowed describing characteristics of each area inside the region: residential and urban zones evidence predominance of a single source, presumably associated with traffic, while industrial zone presents the contribution of two main sources, presumably petrochemical industry and traffic.Centro de Investigaciones del Medioambient

Characterization of BTEX emission sources in the Greater La Plata urban conglomerate using receptor models

Estudios previos en la región identifican a la industria petroquímica y al tráfico como las principales fuentes de emisión de BTEX. Para profundizar estos estudios, se aplicaron diferentes herramientas para caracterizar las fuentes emisoras. El Análisis de Componentes Principales (PCA) fue utilizado para cuantificar las fuentes de BTEX y los Métodos No Paramétricos para estimar la concentración en el espacio. Uno de estos, Nonparametric Wind Regression (NWR) es usado para obtener la relación entre la concentración y las componentes del viento. Su complemento, Source Apportionment (SA), relaciona las mayores contribuciones en función de las direcciones. A continuación, Nonparametric Trajectory Analysis (NTA) fue usado para estimar la concentración de BTEX en una coordenada geográfica. El resultado permitió describir las características de cada área dentro de la región: zonas residenciales y urbanas evidencian predominancia de una única fuente, presumiblemente asociada con el tráfico, mientras que la zona industrial presenta la contribución de dos fuentes principales, presumiblemente la industria petroquímica y el tráfico.Previous studies in the region identify the petrochemical industry and traffic as the main sources of BTEX emission. In order to further these studies, different tools were applied to characterize the emission sources. Principal Components Analysis (PCA) was used to quantify BTEX sources and Nonparametric Methods to estimate the concentration in the space. One of them, Nonparametric Wind Regression (NWR) was used to obtain the relationship between concentration and the wind components. Its complement, Source Apportionment (SA), relates higher contributions as a function of the directions. Afterwards, Nonparametric Trajectory Analysis (NTA) was used to estimate the concentration of BTEX on a geographical coordinate. The result allowed describing characteristics of each area inside the region: residential and urban zones evidence predominance of a single source, presumably associated with traffic, while industrial zone presents the contribution of two main sources, presumably petrochemical industry and traffic.Centro de Investigaciones del Medioambient

Characterization of BTEX emission sources in the Greater La Plata urban conglomerate using receptor models

Estudios previos en la región identifican a la industria petroquímica y al tráfico como las principales fuentes de emisión de BTEX. Para profundizar estos estudios, se aplicaron diferentes herramientas para caracterizar las fuentes emisoras. El Análisis de Componentes Principales (PCA) fue utilizado para cuantificar las fuentes de BTEX y los Métodos No Paramétricos para estimar la concentración en el espacio. Uno de estos, Nonparametric Wind Regression (NWR) es usado para obtener la relación entre la concentración y las componentes del viento. Su complemento, Source Apportionment (SA), relaciona las mayores contribuciones en función de las direcciones. A continuación, Nonparametric Trajectory Analysis (NTA) fue usado para estimar la concentración de BTEX en una coordenada geográfica. El resultado permitió describir las características de cada área dentro de la región: zonas residenciales y urbanas evidencian predominancia de una única fuente, presumiblemente asociada con el tráfico, mientras que la zona industrial presenta la contribución de dos fuentes principales, presumiblemente la industria petroquímica y el tráfico.Previous studies in the region identify the petrochemical industry and traffic as the main sources of BTEX emission. In order to further these studies, different tools were applied to characterize the emission sources. Principal Components Analysis (PCA) was used to quantify BTEX sources and Nonparametric Methods to estimate the concentration in the space. One of them, Nonparametric Wind Regression (NWR) was used to obtain the relationship between concentration and the wind components. Its complement, Source Apportionment (SA), relates higher contributions as a function of the directions. Afterwards, Nonparametric Trajectory Analysis (NTA) was used to estimate the concentration of BTEX on a geographical coordinate. The result allowed describing characteristics of each area inside the region: residential and urban zones evidence predominance of a single source, presumably associated with traffic, while industrial zone presents the contribution of two main sources, presumably petrochemical industry and traffic.Centro de Investigaciones del Medioambient

Historical Archaeology in the Iberian Peninsula

UID/HIS/04209/2019 DL 57/2016/CP1453/CT0084authorsversionpublishe

Are sciences essential and humanities elective? Disentangling competing claims for humanities research public value

[EN] Recent policy discourse suggests that arts and humanities research is seen as being less useful to society than other disciplines, notably in science, technology, engineering and mathematics. The paper explores how this assumption s construction has been built and whether it is based upon an unfair prejudice: we argue for a prima facie case to answer in assuming that arts and humanities research s lower societal value. We identify a set of claims circulating in policy circles regarding science, technology, engineering and math- ematics research and arts and humanities research s differences. We find two groups: arts and humanities research is less useful than science, technology, engineering and mathematics, and arts and humanities research is merely differently useful. We argue that empirical analysis is necessary to disentangle which ones are true to assess whether policy-making is being based on rational and evidence-based claims. We argue that debates about public research value should recognise that humanities have different (but equally valid) kinds of societal value.This work was supported by the Spanish Ministry of Education, which funded the PhD research fellowship of Julia Olmos Peñuela through the F.P.U program [AP2007- 01850]. The research fellowship took place in the framework of the HERAVALUE project, Measuring the public value of arts and humanities research, financially supported by the HERA Joint Research Programme, cofunded by AHRC, AKA, DASTI, ETF, FNR, FWF, HAZU, IRCHSS, MHEST, NWO, RANNIS, RCN, VR and The European Community FP7 2007-2013, under the Socio-economic Sciences and Humanities programme. The authors would like to thank the editors and two anonymous referees for their invaluable comments. Any errors or omissions remain the authors’ responsibilitieOlmos-Peñuela, J.; Benneworth, P.; Castro-Martínez, E. (2015). Are sciences essential and humanities elective? Disentangling competing claims for humanities research public value. Arts and Humanities in Higher Education. 14(1):61-78. https://doi.org/10.1177/1474022214534081S617814