scholarly journals Frozen transitions to adulthood of young people in Slovenia?

Sociologija ◽  
2012 ◽  
Vol 54 (2) ◽  
pp. 211-226 ◽  
Author(s):  
Metka Kuhar ◽  
Herwig Reiter
Keyword(s):  
Young People ◽  
Life Course ◽  
Data Sets ◽  
Societal Change ◽  
Transitions To Adulthood ◽  
International Data ◽  
Life Course Framework ◽  
Key Indicators ◽  
Selection Of ◽  
Youth Transitions

This article reviews key-indicators of youth transitions in Slovenia over the last decades and highlights some of the inherent tensions. Against the background of the metaphor of ?frozen transitions?, which tries to grasp some of the contradictions between the speed of societal change and the stagnating development of youth towards independence, the article describes and reflects the development of youth transitions in the three domains of employment, housing and parenthood. The basis is a selection of indicators available in international data sets and surveys that allow to trace the change at least over the last two decades after the breakdown of Yugoslavia. Our findings indicate that transitions in Slovenia are frozen in all three domains, which challenges the usefulness of the conventional life course framework for studying post-communist contexts.

scholarly journals Why Enrol in a Lifelong Learning Programme? A Comparative Study of Austrian and Spanish Young Adults

2019 ◽  
Vol 7 (3) ◽  
pp. 110-121
Author(s):  
Domingo Barroso-Hurtado ◽  
Ralph Chan
Keyword(s):  
Young Adults ◽  
Young People ◽  
Comparative Study ◽  
Life Course ◽  
Lifelong Learning ◽  
Insight Into ◽  
Youth Transitions

Lifelong learning (LLL) programmes can be perceived as a means of governing youth transitions. Young adults can use such programmes to try to overcome different constraints in their life course. This article explores the decisions of young adults in Vienna (Austria) and Malaga (Spain) who are participating in different LLL programmes that seek to address their transition from unemployment to employment. In order to understand these decisions, we want to explore: (1) how the young adult’s experiences influenced their decision to engage with an LLL programme, (2) what role these programmes played in their biographies and (3) how young adults imagine their future. We use two theoretical lenses to explore these questions: bounded agency and projectivity. A comparative study of these two regions provides insight into how different contextual conditions influence young adults’ decisions. We perform three different analyses: of the young people’s past trajectories and transitions, of their imagined futures, and of their decision to enrol in the programme. Exploring young people’s subjective accounts of their pasts and their imagined futures helps to improve our understanding of the role young people believe these programmes play in their lives, why they have decided to enrol in them, and how they use and interpret these pathways through, and in the framework of, different contextual conditions.

“Stuck in Freedom Park”—Youth Transitions and Social Inclusion amongst Coloured Youths in Tafelsig, Cape Town

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Mercy Magdalene Brown-Luthango
Keyword(s):  
South Africa ◽  
Young People ◽  
Social Inclusion ◽  
Cape Town ◽  
Transitions To Adulthood ◽  
Long Run ◽  
Transition Pathways ◽  
The Impact ◽  
The City ◽  
Youth Transitions

South Africa is experiencing a youth bulge, with much public debate about whether this spells success or disaster for the country’s future. Some of the critical debates highlighted in the literature on youth, centre on youth transitions to adulthood, socio-economic and spatial mobility linked to issues of identity, inclusion and citizenship as well as agency and negotiation of alternative transition pathways. This article explores some of these issues by tapping into the literature on youth transition pathways, and linking them to Castel’s notion of disaffiliation. The article argues that these sources of data allowed me to describe and make sense of the different dimensions of “stuckness” experienced by the youth, and of the impact that being stuck has on their sense of belonging, inclusion and notions of citizenship. I conducted interviews with 10 out-of-school, unemployed young people who reside in Tafelsig, Mitchells Plain, Cape Town. Participants were asked about their histories in the city, where they had lived, how they had ended up where they currently resided as well as their aspirations for their future, their neighbourhoods, the city and their country. The study’s findings were that short-term interventions might facilitate a slight shift in Castel’s continuum from disaffiliation to integration for at least some of the youth. However, in the long run, significant improvements in the education system, a restructuring of the economy to address unemployment, and a spatial reconfiguration of South African cities to reduce poverty and inequality will have a meaningful impact on the lives of young people in South Africa. These improvements must be accompanied by a broad range of social and cultural programmes, engaging youths from across different communities, in order to foster integration and social cohesion.

YOUTH WELLBEING IN SOUTH AFRICA: WHAT DIMENSIONS SHOULD WE MEASURE?

2016 ◽  
Vol 13 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Dabesaki Mac-Ikemenjima
Keyword(s):  
South Africa ◽  
Health Education ◽  
Young People ◽  
Qualitative Study ◽  
South African ◽  
Time Use ◽  
Economic Relationships ◽  
African Cities ◽  
South African Cities ◽  
Selection Of

There is growing interest in the development of measures and indexes of youth wellbeing. However, there has been a limited discussion on indicators to measure and select them. This paper reports on the results of a qualitative study on the selection of indicators to measure the wellbeing of young people in South Africa, and reflects on the relevance of the content of their values in choosing indicators for measuring their wellbeing. The data used in this analysis is based on telephone (9) and email (6) interviews conducted with 15 young people (male=5, female=10) aged 22 to 32 from five South African cities during July 2010. In the interviews, participants were asked to identify five issues they considered important to their lives, after which they were asked to rank them in order of importance. The issues indicated by the participants are described and discussed in six dimensions: economic, relationships, spiritual and health, education, time use and material. The indicators developed from this study are discussed in terms of their relevance for use in a measure of youth wellbeing in South Africa.

Selection of one-dimensional sedimentation: models for on-line use

1995 ◽  
Vol 31 (2) ◽  
pp. 193-204 ◽  
Author(s):  
Koen Grijspeerdt ◽  
Peter Vanrolleghem ◽  
Willy Verstraete
Keyword(s):  
Steady State ◽  
Selection Criteria ◽  
Data Sets ◽  
Concentration Profiles ◽  
A Posteriori ◽  
One Dimensional ◽  
On Line ◽  
Dynamic Concentration ◽  
Selection Of ◽  
Modelling Task

A comparative study of several recently proposed one-dimensional sedimentation models has been made. This has been achieved by fitting these models to steady-state and dynamic concentration profiles obtained in a down-scaled secondary decanter. The models were evaluated with several a posteriori model selection criteria. Since the purpose of the modelling task is to do on-line simulations, the calculation time was used as one of the selection criteria. Finally, the practical identifiability of the models for the available data sets was also investigated. It could be concluded that the model of Takács et al. (1991) gave the most reliable results.

Contextual Behavioral Approaches to Understanding Body Image Threats and Coping in Youth: A Qualitative Study

2021 ◽  
pp. 074355842110078
Author(s):  
Anna L. Brichacek ◽  
Kristen Murray ◽  
James T. Neill ◽  
Elizabeth Rieger
Keyword(s):  
Body Image ◽  
Young People ◽  
Developmental Changes ◽  
Educational Institutions ◽  
Life Domains ◽  
Negative Experiences ◽  
Semistructured Interviews ◽  
External Sources ◽  
And Coping ◽  
Selection Of

Adolescence involves significant developmental changes and challenges including heightened body image concerns. However, there is limited research on adaptive ways of responding to perceived threats to body image. This study uses body image flexibility, derived from contextual behavioral perspectives, and coping theories to explore young people’s responses to body image threats. High school and university students (12 male, 15 female) aged 12 to 24 years were recruited from educational institutions in a metropolitan area of Australia. Thematic analysis of semistructured interviews identified themes related to body image threats from internal and external sources. In response to these threats, young people reported coping by changing the content of, and how they related to, perceived threats, and seeking social support. In addition, young people viewed coping as a dynamic process that changed over time and across situations. Reported processes of attending to, and allowing, momentary negative experiences and connecting with other important life domains were consistent with body image flexibility. The coping context affected the selection of coping strategies, with body image flexibility facilitating more adaptive coping for some participants. Further investigation of contextual behavioral approaches, such as body image flexibility, could help to better understand and promote adaptive body image coping in youth.

Real-time Approximation of Photometric Polygonal Lights

2020 ◽  
Vol 3 (1) ◽  
pp. 1-18
Author(s):  
Christian Luksch ◽  
Lukas Prost ◽  
Michael Wimmer
Keyword(s):  
Real Time ◽  
Specular Reflection ◽  
Near Field ◽  
Measurement Data ◽  
Data Sets ◽  
Photometric Measurement ◽  
Integration Technique ◽  
Time Approximation ◽  
Light Emitter ◽  
Selection Of

We present a real-time rendering technique for photometric polygonal lights. Our method uses a numerical integration technique based on a triangulation to calculate noise-free diffuse shading. We include a dynamic point in the triangulation that provides a continuous near-field illumination resembling the shape of the light emitter and its characteristics. We evaluate the accuracy of our approach with a diverse selection of photometric measurement data sets in a comprehensive benchmark framework. Furthermore, we provide an extension for specular reflection on surfaces with arbitrary roughness that facilitates the use of existing real-time shading techniques. Our technique is easy to integrate into real-time rendering systems and extends the range of possible applications with photometric area lights.

scholarly journals The predictability of reported drought events and impacts in the Ebro Basin using six different remote sensing data sets

2017 ◽  
Vol 21 (9) ◽  
pp. 4747-4765 ◽  
Author(s):  
Clara Linés ◽  
Micha Werner ◽  
Wim Bastiaanssen
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Data Sets ◽  
Drought Management ◽  
Ebro Basin ◽  
Sensing Data ◽  
Drought Impacts ◽  
Management Plans ◽  
Drought Indicators ◽  
Selection Of

Abstract. The implementation of drought management plans contributes to reduce the wide range of adverse impacts caused by water shortage. A crucial element of the development of drought management plans is the selection of appropriate indicators and their associated thresholds to detect drought events and monitor the evolution. Drought indicators should be able to detect emerging drought processes that will lead to impacts with sufficient anticipation to allow measures to be undertaken effectively. However, in the selection of appropriate drought indicators, the connection to the final impacts is often disregarded. This paper explores the utility of remotely sensed data sets to detect early stages of drought at the river basin scale and determine how much time can be gained to inform operational land and water management practices. Six different remote sensing data sets with different spectral origins and measurement frequencies are considered, complemented by a group of classical in situ hydrologic indicators. Their predictive power to detect past drought events is tested in the Ebro Basin. Qualitative (binary information based on media records) and quantitative (crop yields) data of drought events and impacts spanning a period of 12 years are used as a benchmark in the analysis. Results show that early signs of drought impacts can be detected up to 6 months before impacts are reported in newspapers, with the best correlation–anticipation relationships for the standard precipitation index (SPI), the normalised difference vegetation index (NDVI) and evapotranspiration (ET). Soil moisture (SM) and land surface temperature (LST) offer also good anticipation but with weaker correlations, while gross primary production (GPP) presents moderate positive correlations only for some of the rain-fed areas. Although classical hydrological information from water levels and water flows provided better anticipation than remote sensing indicators in most of the areas, correlations were found to be weaker. The indicators show a consistent behaviour with respect to the different levels of crop yield in rain-fed areas among the analysed years, with SPI, NDVI and ET providing again the stronger correlations. Overall, the results confirm remote sensing products' ability to anticipate reported drought impacts and therefore appear as a useful source of information to support drought management decisions.

Model of predicting customer behavior based on big data analysis technologies

2021 ◽  
Vol 1 (2 (6)) ◽  
Author(s):  
Anastasiia Ivanitska ◽  
Dmytro Ivanov ◽  
Ludmila Zubik
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Customer Behavior ◽  
Learning Technologies ◽  
User Preferences ◽  
Data Sets ◽  
Learning Technology ◽  
Behavior Prediction ◽  
Network Information ◽  
Selection Of

The analysis of the available methods and models of formation of recommendations for the potential buyer in network information systems for the purpose of development of effective modules of selection of advertising is executed. The effectiveness of the use of machine learning technologies for the analysis of user preferences based on the processing of data on purchases made by users with a similar profile is substantiated. A model of recommendation formation based on machine learning technology is proposed, its work on test data sets is tested and the adequacy of the RMSE model is assessed. Keywords: behavior prediction; advertising based on similarity; collaborative filtering; matrix factorization; big data; machine learning

scholarly journals Self-Adaptive K-Means Based on a Covering Algorithm

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Yiwen Zhang ◽  
Yuanyuan Zhou ◽  
Xing Guo ◽  
Jintao Wu ◽  
Qiang He ◽  
...  
Keyword(s):  
Large Scale ◽  
Clustering Algorithm ◽  
Real Data ◽  
Second Phase ◽  
Data Sets ◽  
Number Of Clusters ◽  
Large Scale Data ◽  
Long Time ◽  
Two Phases ◽  
Selection Of

The K-means algorithm is one of the ten classic algorithms in the area of data mining and has been studied by researchers in numerous fields for a long time. However, the value of the clustering number k in the K-means algorithm is not always easy to be determined, and the selection of the initial centers is vulnerable to outliers. This paper proposes an improved K-means clustering algorithm called the covering K-means algorithm (C-K-means). The C-K-means algorithm can not only acquire efficient and accurate clustering results but also self-adaptively provide a reasonable numbers of clusters based on the data features. It includes two phases: the initialization of the covering algorithm (CA) and the Lloyd iteration of the K-means. The first phase executes the CA. CA self-organizes and recognizes the number of clusters k based on the similarities in the data, and it requires neither the number of clusters to be prespecified nor the initial centers to be manually selected. Therefore, it has a “blind” feature, that is, k is not preselected. The second phase performs the Lloyd iteration based on the results of the first phase. The C-K-means algorithm combines the advantages of CA and K-means. Experiments are carried out on the Spark platform, and the results verify the good scalability of the C-K-means algorithm. This algorithm can effectively solve the problem of large-scale data clustering. Extensive experiments on real data sets show that the accuracy and efficiency of the C-K-means algorithm outperforms the existing algorithms under both sequential and parallel conditions.

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