Costs and Benefits of Labour Mobility Between the EU and the Eastern Partnership Partner Countries. Country Report: Germany

This study provides an overview of the situation of migrants from Eastern Partnership (EaP) countries in Germany, with this chapter particularly focusing on the labour market integration of EaP migrants, their access to social assistance and social services, and the impact of these flows on the German labour market. We then provide an informed view of the scope for future increased mobility between Germany and EaP countries, in the light of the skills needs and demographic trends expected in the next 10 to 20 years. Based on the results, the following conclusions can be drawn. More than half of EaP migrants come to Germany for work and study purposes. Family reunification is important for Ukrainians and Moldovans. Work and family purposes are the two main residence grounds for migrants from Moldova and Ukraine, while the other nationalities hold residence permits for reasons of study and work in most cases

Labour Migration From EaP Countries to the EU - Assessment of Costs and Benefits and Proposals for Better Labour Market Matching

It is reasonable to expect steady migratory flows from Eastern Parntership nations in the future, and that migration would be a desirable phenomenon (based on the so-far advantageous migratory flows from EaP nations). They cause no negative wage effects on native workers

Costs and Benefits of Labour Mobility between the EU and the Eastern Partnership Countries: Country Study on Germany

Despite the ongoing dialogue on facilitating mobility between the European Union and the Eastern Partnership (EaP) countries, very little is known about the magnitude and characteristics of migrants from these countries. This study aims to fill this gap by studying the size and assimilation patterns of EaP migrants in Germany. Most EaP migrants in Germany come from Ukraine but EaP migrants are a relatively small share of total migrants. EaP migrants experience worse labor market outcomes than other migrant groups, but current and potential migrants hold qualifications in those areas were skill shortages are expected

Sibling Influence on the Human Capital of the Left Behind

While a growing literature has analyzed the effects of parental migration on the educational outcomes of children left behind, this is the first study to highlight the importance of sibling interactions in such a context. Using panel data from the RUMiC Survey, we find that sibling influence on schooling performance is stronger among left- behind children. Hence, parental migration seems to trigger changes in the roles and effects among children. However, it is primarily older sisters who exhibit a positive influence on their younger siblings. We corroborate our results by performing a series of tests to mitigate endogeneity issues. The results from the analysis suggest that sibling effects in migrant households might be a mechanism to shape children's outcomes and success and that adjustments within the family left behind have the potential to generate benefits or reduce hardship in response to parental migration

Chacterization of CU tube filled with Al alloy foam by means of X-ray computer tomography

Copper tubes filled with aluminium foams were prepared by directly foaming metal powder compacts inside them. Compressive behaviour and foam-shell interface, that characterizes mechanical properties of reinforced tubes, were investigated by means of variable focus X-ray computer tomography. Compression tests were performed on empty and filled samples at increasing deformation steps: at each stage the samples were observed by tomography. A geometric evaluation of porosity on 2D sections was performed by calculating, for each pore, its area, equivalent diameter and circularity

Productivity and Keynes’s 15-Hour Work Week Prediction for 2030: An Alternative, Macroeconomic Analysis for the United States

This paper analyses Keynes’s 1930 prediction that technical advances would cut people’s working week to 15 h by 2030 and investigates why actual working hours are significantly higher in the United States. Elaborating on Keynes’s forecast to provide a general productivity formula while keeping its simplicity, we ran tests on macro-data from 1929 to 2019 and on estimates for 2030, demonstrating that productivity is surprisingly still insufficient to allow for a reduction in working hours across the US economy. This finding represents a substantial contribution to the literature, which has mostly explained long working hours by means of new consumer needs. Even by using microdata, we show that consumption does not explain the stickiness of working hours to the bottom. Hence, this paper combines a macroeconomic, logical-analytical approach based on historical time series with rigorously constructed time series at the microeconomic level. Finally, we also provide policies to narrow the productivity differential to Keynes’s prediction for 2030 while fostering work-life balance and sustainable growth. To understand long working hours in the US despite technical advances—this being one of our main findings—productivity remains crucial

Cold and Hot Spots: from Inhibition to Enhancement by Nanoscale Phase Tuning of Optical Nanoantennas

Optical nanoantennas are well-known for the confinement of light into nanoscale hot spots, suitable for emission enhancement and sensing applications. Here, we show how control of the antenna dimensions allows tuning the local optical phase, hence turning a hot spot into a cold spot. We manipulate the local intensity exploiting the interference between driving and scattered field. Using single molecules as local detectors, we experimentally show the creation of subwavelength pockets with full suppression of the driving field. Remarkably, together with the cold excitation spots, we observe inhibition of emission by the phase-tuned nanoantenna. The fluorescence lifetime of a molecule scanned in such volumes becomes longer, showing slow down of spontaneous decay. In conclusion, the spatial phase of a nanoantenna is a powerful knob to tune between enhancement and inhibition in a 3-dimensional subwavelength volume.Peer ReviewedPostprint (author's final draft

Deployment of solar sails by joule effect: thermal analysis and experimental results

Space vehicles may be propelled by solar sails exploiting the radiation pressure coming from the sun and applied on their surfaces. This work deals with the adoption of Nickel-Titanium Shape Memory Alloy (SMA) elements in the sail deployment mechanism activated by the Joule Effect, i.e., using the same SMA elements as a resistance within suitable designed electrical circuits. Mathematical models were analyzed for the thermal analysis by implementing algorithms for the evaluation of the temperature trend depending on the design parameters. Several solar sail prototypes were built up and tested with different number, size, and arrangement of the SMA elements, as well as the type of the selected electrical circuit. The main parameters were discussed in the tested configurations and advantages discussed as well

Heat Conduction and Microconvection in Nanofluids: Comparison between Theoretical Models and Experimental Results

A nanofluid is a suspension consisting of a uniform distribution of nanoparticles in a base fluid, generally a liquid. Nanofluid can be used as a working fluid in heat exchangers to dissipate heat in the automotive, solar, aviation, aerospace industries. There are numerous physical phenomena that affect heat conduction in nanofluids: clusters, the formation of adsorbate nanolayers, scattering of phonons at the solid–liquid interface, Brownian motion of the base fluid and thermophoresis in the nanofluids. The predominance of one physical phenomenon over another depends on various parameters, such as temperature, size and volume fraction of the nanoparticles. Therefore, it is very difficult to develop a theoretical model for estimating the effective thermal conductivity of nanofluids that considers all these phenomena and is accurate for each value of the influencing parameters. The aim of this study is to promote a way to find the conditions (temperature, volume fraction) under which certain phenomena prevail over others in order to obtain a quantitative tool for the selection of the theoretical model to be used. For this purpose, two sets (SET-I, SET-II) of experimental data were analyzed; one was obtained from the literature, and the other was obtained through experimental tests. Different theoretical models, each considering some physical phenomena and neglecting others, were used to explain the experimental results. The results of the paper show that clusters, the formation of the adsorbate nanolayer and the scattering of phonons at the solid–liquid interface are the main phenomena to be considered when ϕ = 1 ÷ 3%. Instead, at a temperature of 50 ◦C and in the volume fraction range (0.04–0.22%), microconvection prevails over other phenomen