Drell-Yan process at forward rapidity at the LHC

We analyze the Drell-Yan lepton pair production at forward rapidity at the Large Hadron Collider. Using the dipole framework for the computation of the cross section we find a significant suppression in comparison to the collinear factorization formula due to saturation effects in the dipole cross section. We develop a twist expansion in powers of Q_s^2/M^2 where Q_s is the saturation scale and M the invariant mass of the produced lepton pair. For the nominal LHC energy the leading twist description is sufficient down to masses of 6 GeV. Below that value the higher twist terms give a significant contribution.Comment: 13 pages, 7 figure

Economic growth and employment: Regional disparities in the EU

One of the main problems of the European countries is their small capacity to generate employment. This is an important point because of the social and human problems that it produces, which are more serious in the case of the peripheral regions. In this paper, we make a comparative analysis of employment and economic growth among the EU and the main OECD countries. We study the reasons of the more reduced rates of employment in several EU countries in relation to USA and Japan. Then, we analyze the generation of employment in the European regions, specially in the peripheral ones which are the most affected by unemployment.

Spatial Patterns Associating Low Birth Weight with Environmental and Behavioral Factors

Low birth weight (LBW) is a significant public health problem in the world. It was estimated globally by the World Health Organization (WHO) that prevalence of LBW was 15% of all births. In Murung Raya district LBW cases remain high. This paper aimed to identify and discuss the relationship between environmental risk factors with LBW in Murung Raya.A spatial analysis was conducted with 150 women as the total participantswho were recruited through the incidence data in 2013-2014. The questionnaires, medical records, and geographic data were measured by Stata software, ArcGis, SatScan, and Geoda. The study results indicated there was significant correlation between health behavior and environmental variables with the strength of external neighborhood effect across LBW risk factors. More intense clustering of high values (hot spots) was found through the spatial analysis showing that most of the cases were located near the defined buffer zone. This research demonstrates that the spatial pattern analysis provided greater statistical power to detect an effect that was not apparent in the previous epidemiology studies