Influence of Proactive Career Behaviors on Career Choice Decisions of Students

Due to increased trend in job transitions, prospects of occupation these days are difficult to predict. Therefore, workers need to develop differentiated set of skills and competences to be able to adapt to a variety of available occupations. The volatility in employability due to ever changing technologies, business environments and models need to focus on becoming lifelong learners not only to maintain their employability but to create more opportunities for themselves. This situation has affected work like of people in a way that the careers no more belong to the organizations but to individual. According to the literature on boundaryless careers, there are three types of variables that can be used to predict career success. Combinations of these three variables are generally referred to as career competencies. Theoretical research reveals that 'understanding why, ‘whom,' and 'how' are the three most important indicators of career success. The findings demonstrate that proactive career behaviors are predicted by future work self and identity resolution. Future work self has a significant positive impact on employment status and, as a result, can lead to future employment success. The findings also revealed that future work self predicts career planning the most. Career consultation is the second most reliable indicator of future employment. Future work self can also forecast proactive skill improvement and proactive career consulting. The study showed results that identity resolution predicts career planning the most. Identity resolution also predicts proactive skill development, career consultation and proactive career networking.

Russian-English dataset and comparative analysis of algorithms for cross-language embedding-based entity alignment

The problem of data fusion from data bases and knowledge graphs in different languages is becoming increasingly important. The main step of such a fusion is the identification of equivalent entities in different knowledge graphs and merging their descriptions. This problem is known as the identity resolution, or entity alignment problem. Recently, a large group of new entity alignment methods has emerged. They look for the so called “embeddings” of entities and establish the equivalence of entities by comparing their embeddings. This paper presents experiments with embedding-based entity alignment algorithms on a Russian-English dataset. The purpose of this work is to identify language-specific features of the entity alignment algorithms. Also, future directions of research are outlined.

Implications of Identity Resolution in Emerging Adulthood for Intimacy, Generativity, and Integrity Across the Adult Lifespan

Erikson's psychosocial stage model posits that identity formation is a key developmental task for adolescents, and that successfully resolving the identity vs. role confusion crisis at this time of life has important impacts on psychosocial development through adulthood. However, little empirical work has tested the consequences of early-life identity development for progression through the subsequent psychosocial stages in Erikson's model. The purpose of the present study was to test whether identity resolution measured during emerging adulthood predicted later developmental trajectories of intimacy, generativity, and integrity across adulthood. We used data from four cohorts of participants in the Rochester Adult Longitudinal Study (N = 1224), with up to five assessments spanning the twenties through the sixties. Latent growth curve modeling was used to estimate developmental trajectories for intimacy, generativity, and integrity, and to test the association between emerging adulthood identity resolution and growth parameters for each psychosocial outcome. Findings suggested that individuals with higher emerging adulthood identity resolution also experienced high levels of intimacy, generativity, and integrity in emerging adulthood, and these levels remained consistently high across adulthood. In contrast, those with lower identity resolution in emerging adulthood experienced lower initial levels of intimacy, generativity, and integrity, but faster growth over time. As a result, these trajectories appeared to nearly converge by the time participants were in their sixties, suggesting that one's emerging adulthood identity has less importance over time, and that individuals who struggled more with identity formation in adolescence and emerging adulthood are able to make up for it later in life.

HumGut: a comprehensive human gut prokaryotic genomes collection filtered by metagenome data

Background A major bottleneck in the use of metagenome sequencing for human gut microbiome studies has been the lack of a comprehensive genome collection to be used as a reference database. Several recent efforts have been made to re-construct genomes from human gut metagenome data, resulting in a huge increase in the number of relevant genomes. In this work, we aimed to create a collection of the most prevalent healthy human gut prokaryotic genomes, to be used as a reference database, including both MAGs from the human gut and ordinary RefSeq genomes. Results We screened > 5,700 healthy human gut metagenomes for the containment of > 490,000 publicly available prokaryotic genomes sourced from RefSeq and the recently announced UHGG collection. This resulted in a pool of > 381,000 genomes that were subsequently scored and ranked based on their prevalence in the healthy human metagenomes. The genomes were then clustered at a 97.5% sequence identity resolution, and cluster representatives (30,691 in total) were retained to comprise the HumGut collection. Using the Kraken2 software for classification, we find superior performance in the assignment of metagenomic reads, classifying on average 94.5% of the reads in a metagenome, as opposed to 86% with UHGG and 44% when using standard Kraken2 database. A coarser HumGut collection, consisting of genomes dereplicated at 95% sequence identity—similar to UHGG, classified 88.25% of the reads. HumGut, half the size of standard Kraken2 database and directly comparable to the UHGG size, outperforms them both. Conclusions The HumGut collection contains > 30,000 genomes clustered at a 97.5% sequence identity resolution and ranked by human gut prevalence. We demonstrate how metagenomes from IBD-patients map equally well to this collection, indicating this reference is relevant also for studies well outside the metagenome reference set used to obtain HumGut. All data and metadata, as well as helpful code, are available at http://arken.nmbu.no/~larssn/humgut/.

Implications of Identity Resolution in Emerging Adulthood for Intimacy, Generativity, and Integrity Across the Adult Lifespan

Erikson's psychosocial stage model posits that identity formation is a key developmental task for adolescents, and that successfully resolving the identity vs. role confusion crisis at this time of life has important impacts on psychosocial development through adulthood. However, little empirical work has tested the consequences of early-life identity development for progression through the subsequent psychosocial stages in Erikson's model. The purpose of the present study was to test whether identity resolution measured during emerging adulthood predicted later developmental trajectories of intimacy, generativity, and integrity across adulthood. We used data from four cohorts of participants in the Rochester Adult Longitudinal Study (N = 1224), with up to five assessments spanning the twenties through the sixties. Latent growth curve modeling was used to estimate developmental trajectories for intimacy, generativity, and integrity, and to test the association between emerging adulthood identity resolution and growth parameters for each psychosocial outcome. Findings suggested that individuals with higher emerging adulthood identity resolution also experienced high levels of intimacy, generativity, and integrity in emerging adulthood, and these levels remained consistently high across adulthood. In contrast, those with lower identity resolution in emerging adulthood experienced lower initial levels of intimacy, generativity, and integrity, but faster growth over time. As a result, these trajectories appeared to nearly converge by the time participants were in their sixties, suggesting that one's emerging adulthood identity has less importance over time, and that individuals who struggled more with identity formation in adolescence and emerging adulthood are able to make up for it later in life.

Cross-Device Identity Resolution using Machine Learning: A Scalable Device Graph Approach

This paper outlines how Mediacorp, Singapore's public service broadcaster, addresses its cross-device identity challenges using a scalable device graph approach. Research in this area is relevant to the domain of advertising technology as it enables a holistic view of consumers that can be extended to use cases such as improving advertisement targeting, personalized recommendations and demographic predictions. Past research efforts were limited to high-level descriptions of the steps undertaken to create a one-off, static device graph based on data collected over a circumscribed time frame, thus limiting its use in larger-scale commercial applications. In this paper, we propose a scalable solution that enables continuous, incremental revisions of our device graph. We leverage behavioral data captured by Mediacorp across its sites and platforms to build a richer device graph that is updated weekly. First, we introduce additional features and explore various classifiers to improve pairwise probability scores between devices that are likely to belong to the same user. Then, we apply community clustering algorithms to uncover device communities to establish the final device graph. Extensive experiments showed that our additive approach has consistently delivered >90% precision and recall in real-world applications.