Estimating measures of multidimensional poverty in Stata

This paper describes the multidimensional poverty measures developed by Alkire and Foster (2011) and shows how they can be computed in Stata with the command mpi

Imputation of missing expenditure information in standard household income surveys

The aim of this paper is to present a new methodology for dealing with missing expenditure information in standard income surveys. Under given conditions, typical imputation procedures, such as statistical matching or regression-based models, can replicate well in the income survey both the unconditional density of household expenditure and its joint density with a set of socio-demographic variables that the two surveys have in common. However, standard imputation procedures may fail in capturing the overall relation between income and expenditure, especially if the common control variables used for the imputation have a weak correlation with the missing information. The paper suggests a two-step imputation procedure that allows reproducing the joint relation between income and expenditure observed from external sources, while maintaining the advantages of traditional imputation methods. The proposed methodology suits well for any empirical analysis that needs to relate income and consumption, such as the estimation of Engel curves or the evaluation of consumption taxes through micro-simulation models. An empirical application shows the makings of such a technique for the evaluation of the distributive effects of consumption taxes and proves that common imputation methods may produce significantly biased results in terms of policy recommendations when the control variables used for the imputation procedure are weakly correlated with the missing variable

Cytocompatibility of Caffeic Acid-Silica Hybrid Materials on NIH-3T3 Fibroblast Cells

The hydroxycinnamoyl compound caffeic acid (CA), broadly occurring in plants, is receiving special attention in materials science thanks to its antioxidant, anti-inflammatory, and antimicrobial activities that make it promising for application use in various sectors. In this context, CA–based peptide biomaterials are recently developed as eco-friendly and multifunctional free radical scavengers useable in a wide range of consumer manufacture, ranging from cosmetics to household products, as well as clinical applications, including imaging, drug delivery, and disinfection. Furthermore, a water-soluble chitosan-caffeic acid conjugate, effective in delaying lipid oxidation, is also synthetized. Herein, exploiting sol-gel route versatility, CA/silica materials are synthetized. Hybrids, chemically characterized mainly through spectroscopic techniques, varied in their relative CA content, which represented 5%, 10%, 15%, or 20% of materials’ weight. The synthetized materials are able to elicit anti-radical properties. The CA amount appeared to be determinant in anti-radical activity, as well as in biocompatibility assessment. To this latter purpose, mouse embryonic fibroblast cell line NIH-3T3 cells are utilized and directly exposed to hybrid materials. Redox mitochondrial activity is evaluated by means of the MTT test, whose results are in accordance with the materials’ biocompatibility

Improving TCP performance during the intra LTE handover

Abstract-Ensuring a seamless connection when users are moving across radio cells is essential to guarantee a high communication quality. In this paper, performance of TCP during the handover in a Long Term Evolution (LTE) network is investigated. Specifically, mobile users with high bit rates TCP services are considered, and the impacts of the intra LTE handover over their perceived throughput are studied. Due to the mobility of the users across radio cells, the high bandwidth required, and possible network congestions, it is shown that the handover may cause sudden degradation of the quality of the communication if the process is not correctly controlled. To alleviate these problems, three solutions are proposed: fast path switch, handover prediction, and active queue management. The first two solutions avoids excessive delay in the packet delivery during the handover, whereas the second solution acts at the transport network with an active queue management. Simulation results, obtained by an extension of the ns-2 simulator, show that the proposed solutions present advantages, and that the handover prediction used with the active queue management increases TCP performance significantly