26 research outputs found

    Migrant entrepreneurship in Europe: a systematic literature review [version 1; peer review: 1 approved, 2 approved with reservations]

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    Background: This systematic literature review (SLR) analyzes migrant entrepreneurship in Europe through three research questions (RQs) to understand 1) migrant entrepreneur characteristics in the European context, 2) challenges encountered by migrant entrepreneurs in European host countries, and 3) policies supporting migrant entrepreneurship in Europe. This review addresses gaps in current knowledge in academia as well as issues that policymakers and practitioners face when addressing migrant entrepreneurship support. Methods: This SLR employed a search protocol to retrieve published sources from 1970 to 2021, via Scopus (27 March 2022) and Web of Science (7 April 2022). Inclusion criteria targeted migrant entrepreneurship support studies while exclusion criteria eliminated domestic migration and non-European contexts. The authors worked iteratively, aligning the data with the RQs to reduce bias, and adapted Bourdieu's forms of capital to create an analytical framework for the sources included in the SLR, with a table for each RQ to synthesize relevant data for analysis. Results: The review examined 91 peer-reviewed papers, with a focus on migrant entrepreneurship in Europe, covering characteristics, challenges, and support policies. It classified migrant entrepreneur challenges and characteristics into financial, human, and social capital, as well as external factors. Common challenges include the local culture and language, network, funding, and adapting to local business practices. Migrant entrepreneurs' stability relates to time in the host country and local language proficiency and reflects past entrepreneurial experience and education. Supportive mechanisms involve local networks, financing, and mentoring. Conclusions: The SLR's limitations encompass possible oversight of pertinent studies, along with potential bias in data extraction, analysis, and subjectivity due to thematic analysis. Nonetheless, the findings suggest the following research agenda for migrant entrepreneurship support: evaluating and enhancing human and social capital, sharing information, designing support programs, addressing in-group/out-group bias in support programs, and exploring bottom-up migrant entrepreneurship support approaches

    Migrant entrepreneurship support in Europe: a PRISMA systematic literature review [version 2; peer review: 1 approved, 2 approved with reservations]

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    Background This systematic literature review (SLR) analyzes migrant entrepreneurship support in Europe through three research questions (RQs) to understand 1) migrant entrepreneur characteristics in the European context, 2) challenges encountered by migrant entrepreneurs in European host countries, and 3) policies supporting migrant entrepreneurship in Europe. This review addresses gaps in current knowledge in academia as well as issues that policymakers and practitioners face when addressing migrant entrepreneurship support. Methods This SLR employed a search protocol to retrieve published sources from 1970 to 2021, via Scopus (27 March 2022) and Web of Science (7 April 2022). Inclusion criteria targeted migrant entrepreneurship support studies while exclusion criteria eliminated domestic migration and non-European contexts. The authors worked iteratively, aligning the data with the RQs to reduce bias, and adapted Bourdieu's forms of capital to create an analytical framework for the sources included in the SLR, with a table for each RQ to synthesize relevant data for analysis. Results The review examined 91 peer-reviewed papers, with a focus on migrant entrepreneurship support in Europe, covering characteristics, challenges, and support policies. It classified migrant entrepreneur challenges and characteristics into financial, human, and social capital, as well as external factors. Common challenges include the local culture and language, network, funding, and adapting to local business practices. Migrant entrepreneurs' stability relates to time in the host country and local language proficiency and reflects past entrepreneurial experience and education. Supportive mechanisms involve local networks, financing, and mentoring. Conclusions The SLR's limitations encompass possible oversight of pertinent studies, along with potential bias in data extraction, analysis, and subjectivity due to thematic analysis. Nonetheless, the findings suggest the following research agenda for migrant entrepreneurship support: evaluating and enhancing human and social capital, sharing information, designing support programs, addressing in-group/out-group bias in support programs, and exploring bottom-up migrant entrepreneurship support approaches

    Optimal Computation of Overabundant Words

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    The observed frequency of the longest proper prefix, the longest proper suffix, and the longest infix of a word w in a given sequence x can be used for classifying w as avoided or overabundant. The definitions used for the expectation and deviation of w in this statistical model were described and biologically justified by Brendel et al. (J Biomol Struct Dyn 1986). We have very recently introduced a time-optimal algorithm for computing all avoided words of a given sequence over an integer alphabet (Algorithms Mol Biol 2017). In this article, we extend this study by presenting an O(n)-time and O(n)-space algorithm for computing all overabundant words in a sequence x of length n over an integer alphabet. Our main result is based on a new non-trivial combinatorial property of the suffix tree T of x: the number of distinct factors of x whose longest infix is the label of an explicit node of T is no more than 3n-4. We further show that the presented algorithm is time-optimal by proving that O(n) is a tight upper bound for the number of overabundant words. Finally, we present experimental results, using both synthetic and real data, which justify the effectiveness and efficiency of our approach in practical terms

    Classification of selectively constrained DNA elements using feature vectors and rule-based classifiers

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    Scarce work has been done in the analysis of the composition of conserved non-coding elements (CNEs) that are identified by comparisons of two or more genomes and are found to exist in all metazoan genomes. Here we present the analysis of CNEs with a methodology that takes into account word occurrence at various lengths scales in the form of feature vector representation and rule based classifiers. We implement our approach on both protein-coding exons and CNEs, originating from human, insect (Drosophila melanogaster) and worm (Caenorhabditis elegans) genomes, that are either identified in the present study or obtained from the literature. Alignment free feature vector representation of sequences combined with rule-based classification methods leads to successful classification of the different CNEs classes. Biologically meaningful results are derived by comparison with the genomic signatures approach, and classification rates for a variety of functional elements of the genomes along with surrogates are presented. (C) 2014 Elsevier Inc. All rights reserved

    Forskole/Startup Preschool. An examination of a program for migrant entrepreneurship in Norway

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    This report is a study of a particular program under the auspices of Startup Migrants AS, called Forskole/Startup Preschool. The name difference reflects in which language the event is conducted. The study is limited to a data collection from the Forskole/Startup Preschool participants through Nettskjema, supplemented by direct observation from several Forskole/Startup Preschool-sessions. The report is to answer the following research questions: 1. What is the most important hindrance for migrant entrepreneurs in obtaining their first customer? 2. To what extent does the Norwegian environment hinder the formation of new business for those with a non-western background? 3. What is the effect of public support programs, such as Norsk Arbeids- og velferdsetaten (NAV) on the participant’s ability to start a business? The report is based on the researcher’s presence at six different Forskole/Startup Preschool between September 2021 and February 2022. Five of them in Oslo and the Oslofjord-region, one in Bergen, including survey responses from 32 participants in a survey via Nettskjema. The median response for this took four minutes and 45 seconds to complete. Based on the outcome of the research activity conducted, the apparent answers to the above research questions are as follows: 1. Understanding the rules and bureaucracy and getting through it, is noted as the number one reported difficulty for migrant entrepreneurs in starting a business in Norway. It is of merit to share that it appears to be statistical significance for those without co-founders or team members, in citing the main difficulty as finding good advisors (rather than sorting out the rules and bureaucracy). Most of the Forskole/Startup Preschool participants, had not established a company yet. 27 of 32 respondents (more than 84%) had not registered a company, and were therefore not yet eligible to have paying customers. 2. As a migrant’s length of time in Norway increases, so does the likelihood the individual will be satisfied with the Norwegian system with regards to establishing a business. There is no evidence from the results that those with a non-western background are facing an extra hindrance in this area. It is rather a more important factor in whether a migrant entrepreneur is satisfied with the support received from the Norwegian system, how long they have been living in in Norway. Those who have spent less time in Norway are more likely to be dissatisfied by the support they receive from Norwegian support systems. 3. There is no evidence of an effect from NAV on migrant entrepreneurs’ abilities to start a business. Of the 32 respondents, only one was receiving money from NAV to attend Forskole/Startup Preschool. The satisfaction levels with the Norwegian support system for starting a business are relatively high, with nearly 50% of the participants expressing satisfaction and fewer than 25% expressing dissatisfaction. Further details regarding the research and other insights gathered from the research appear in the text below. Regarding the research question of hindrance for migrant entrepreneurs in Norway, we have followed this up by this research question: What can Forskole/Startup Preschool do to improve so that participants can increase their chances at acquiring their first customers? The research shows that 29 of 32 respondents (more than 90%) for a long time have wanted to establish their own company. When combining this with the evidence that most of the participants still have not established any company, it would probably make sense to have a follow-up Forskole/Startup Preschool for those who complete the three-day weekend course to offer a customer-development workshop. While customer development is covered in the Forskole/Startup Preschool course to some extent, the timing seems not perfect for this item, for most participants. They may find themselves overwhelmed by the intensity of the three-day course and unable to follow up easily on the customer development issues after having established their business. As it happens, the researcher came across some of the previous Forskole/Startup Preschool participants in contexts of more extensive entrepreneurship training programs that last six to eight weeks, and we registered what is commented above as one of the things mentioned by this previous Forskole/Startup Preschool participants. Another possibility for Forskole/Startup Preschool could be to tie closer into the ecosystem and recommend alumni to participate or link up with more extensive customer development training from other ecosystem actors. We are uncertain whether this already may be the case. We find it also interesting to mention the participants’ motivations to attend Forskole/Startup Preschool. More than 33% (11 of 32) say it was to gain practical information about how to get started with establishing a business in Norway. For those who share deeper feelings about their motivations, 25% want to earn a living from their business; to support themselves and their families. More than 18% (6 of 32) want to use their creative skills and more than 15% (5 of 32) want to give back something to society. These motivations are not mutually exclusive, see quotes from the participants further down in the report. Since Forskole/Startup Preschool sessions already have a strong emphasis on motivation, through use of the five why technique (Serrat, 2017) future Forskole/Startup Preschool probably could gain in going deeper into tying these insights from the participants’ motivations for becoming entrepreneurs into the customer development processes

    CNEr: A toolkit for exploring extreme noncoding conservation

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    Conserved Noncoding Elements (CNEs) are elements exhibiting extreme noncoding conservation in Metazoan genomes. They cluster around developmental genes and act as long-range enhancers, yet nothing that we know about their function explains the observed conservation levels. Clusters of CNEs coincide with topologically associating domains (TADs), indicating ancient origins and stability of TAD locations. This has suggested further hypotheses about the still elusive origin of CNEs, and has provided a comparative genomics-based method of estimating the position of TADs around developmentally regulated genes in genomes where chromatin conformation capture data is missing. To enable researchers in gene regulation and chromatin biology to start deciphering this phenomenon, we developed CNEr, a R/Bioconductor toolkit for large-scale identification of CNEs and for studying their genomic properties. We apply CNEr to two novel genome comparisons—fruit fly vs tsetse fly, and two sea urchin genomes—and report novel insights gained from their analysis. We also show how to reveal interesting characteristics of CNEs by coupling CNEr with existing Bioconductor packages. CNEr is available at Bioconductor (https://bioconductor.org/packages/CNEr/) and maintained at github (https://github.com/ge11232002/CNEr)

    CNEr: A toolkit for exploring extreme noncoding conservation

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    Conserved Noncoding Elements (CNEs) are elements exhibiting extreme noncoding conservation in Metazoan genomes. They cluster around developmental genes and act as long-range enhancers, yet nothing that we know about their function explains the observed conservation levels. Clusters of CNEs coincide with topologically associating domains (TADs), indicating ancient origins and stability of TAD locations. This has suggested further hypotheses about the still elusive origin of CNEs, and has provided a comparative genomics-based method of estimating the position of TADs around developmentally regulated genes in genomes where chromatin conformation capture data is missing. To enable researchers in gene regulation and chromatin biology to start deciphering this phenomenon, we developed CNEr, a R/Bioconductor toolkit for large-scale identification of CNEs and for studying their genomic properties. We apply CNEr to two novel genome comparisons—fruit fly vs tsetse fly, and two sea urchin genomes—and report novel insights gained from their analysis. We also show how to reveal interesting characteristics of CNEs by coupling CNEr with existing Bioconductor packages.ISSN:1553-734XISSN:1553-735

    Conserved Noncoding Elements Follow Power-Law-Like Distributions in Several Genomes as a Result of Genome Dynamics

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    <div><p>Conserved, ultraconserved and other classes of constrained elements (collectively referred as CNEs here), identified by comparative genomics in a wide variety of genomes, are non-randomly distributed across chromosomes. These elements are defined using various degrees of conservation between organisms and several thresholds of minimal length. We here investigate the chromosomal distribution of CNEs by studying the statistical properties of distances between consecutive CNEs. We find widespread power-law-like distributions, i.e. linearity in double logarithmic scale, in the inter-CNE distances, a feature which is connected with fractality and self-similarity. Given that CNEs are often found to be spatially associated with genes, especially with those that regulate developmental processes, we verify by appropriate gene masking that a power-law-like pattern emerges irrespectively of whether elements found close or inside genes are excluded or not. An evolutionary model is put forward for the understanding of these findings that includes <i>segmental or whole genome duplication</i> events and <i>eliminations (loss)</i> of most of the duplicated CNEs. Simulations reproduce the main features of the observed size distributions. Power-law-like patterns in the genomic distributions of CNEs are in accordance with current knowledge about their evolutionary history in several genomes.</p></div
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