In this study experimental work carried out to study the bending behavior of steel I beam externally attached with polymer sheets reinforced with Glass fiber, Basalt fiber, and Carbon fiber. Simulation software, Ansys is used to analyses the experimental results. Artificial neural network (ANN) is trained by using experimental data. ANN architecture having multilayer, back propagation and feed forward algorithm was used. The outcomes of this exercise shows that artificial neural network can be succefully used to predict the bending behavior of steel I beam externally attached with FRP sheets with reasonable accuracy in order to reduce the experimental work.
This article explores hate speech against the Roma in Slovakia on Facebook between April 2016 and January 2017 and the impact of fact-checking and personal experience strategies in countering hate speech through a quasi-experimental research design. It examines how the Roma were constructed and how discussion participants reacted to our pro-Roma interventions. The research sample consisted of 60 Facebook discussions (with more than 7,500 comments) on Roma-related topics posted by the profiles of various members of the Slovak Parliament and the most popular online news media outlets. Qualitative content analysis revealed that the Roma in Facebook discussions were constructed primarily in a negative sense, as asocial criminals misusing welfare benefits. This study demonstrated that Facebook discussion participants presenting anti-Roma attitudes did not use any research evidence to support their constructions. It also demonstrated that pro-Roma comments encouraged other participants with a pro-Roma attitude to become involved.
Purpose The purpose of this paper is to understand the value of foreign work experience for young migrants after their return to the home country labour market and their labour market preferences relative to stayers. Design/methodology/approach The authors analyse the labour market integration patterns of young return migrants in Slovakia. After reconstructing the life histories of young people from online CVs, a set of regression models investigates the attractiveness, salary expectations and positions of interest to returnees in comparison to stayers. Findings Post-accession foreign work experience increases the attractiveness of job candidates. Foreign work experience changes the expectations of returnees with respect to wages and widens their perspective on the location of future work. In the underperforming labour market, migration experience signals to employers a set of skills that differentiate young returnees from young stayers in a positive way. Research limitations/implications While the web data are not representative, it allows the authors to study return migration from a perspective that large representative data sets do not allow. Social implications Foreign work experience is, in general, an asset for (re)integration into the home labour market, but the higher salary demands of returnees might hinder the process in a less-skilled segment of the labour market. Originality/value Return migration is a relatively underresearched area, and knowledge about the perception of returnees among employers and the labour market preferences of returnees is relatively limited. Another contribution lies in the use of online data to analyse return migration from the perspective of both labour demand and supply.
Based on a social constructivist theoretical framework, this research study examines how the design of proinclusive educational policies and the general public construct the Roma students and parents in Slovakia. For this purpose, data from two selected educational policies and five focus groups conducted in five regions in Slovakia were analyzed. The findings demonstrate that the Roma are constructed negatively as irresponsible dependents and deviants not valuing education and incapable of making wise decisions about their lives. These findings can be considered relevant for policy formulation processes because proinclusive policies may sabotage their own goals if negative social constructions of a certain societal group are embedded in them.
This article analyses online job advertisements to identify skills that are demanded in selected low-and medium-skilled occupations. We explore data from the publicly administered cross-European EURES job search portal and quantify the different cognitive and non-cognitive skills requested by employers in small European economies. While we find that the service sector demands non-cognitive skills more than other types of occupation, the skill-mix demanded is very diverse across countries, implying that other domestic factors shape how demand is formulated. Our work shows that online portals can become a useful source for studying employers' demand at the micro-level to inform employment, education and training policies.
