87 research outputs found

    On the innovation mechanisms of fintech start-ups: insights from Swift's innotribe competition

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    The emergence of nascent forms of financial technology around the globe is driven by efforts to deconstruct and reimagine business models historically embedded within financial services. Entrepreneurial endeavors to this end are diverse. Indeed, the propensity towards complexity across the fintech landscape is considerable. Bridging as it does a diverse range of financial ser-vices, markets, innovations, industry participants, infrastructures and technologies. This study aims to improve the comprehension of the global fintech landscape. It is based on the analysis of start-ups who participated in SWIFT’s Innotribe competition over a three-year period. We used cluster analysis to group 402 fintech start-up firms, and then selected representative cases to create a foundational understanding of the structure of the fintech landscape. We found that six clusters capture the variety of firms and their activities. The main findings of this work are: (1) the development of fintech clusters to classify core services, business infrastructures and underlying component technologies, which characterize the fintech landscape; (2) an analysis of how fintechs synthesize different technologies to restructure and coordinate flows of financial information through competitive and cooperative mechanisms of disintermediation, extension of access, financialization, hybridization and personalization; (3) an analysis of related strate-gies for value creation connected with the competitive and cooperative mechanisms that were identified. Collectively, our results offer new insights into the diversity and range of emergent innovations and technologies which are transforming the financial services industry worldwide

    Reducing spectral attenuation in small-core photonic crystal fibers

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    Reducing spectral attenuation in solid-core photonic crystal fibers

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    Photonic bandgap fiber with multiple hollow cores

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    Globally, plant-soil feedbacks are weak predictors of plant abundance

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    Plant-soil feedbacks (PSFs) have been shown to strongly affect plant performance under controlled conditions, and PSFs are thought to have far reaching consequences for plant population dynamics and the structuring of plant communities. However, thus far the relationship between PSF and plant species abundance in the field is not consistent. Here, we synthesize PSF experiments from tropical forests to semiarid grasslands, and test for a positive relationship between plant abundance in the field and PSFs estimated from controlled bioassays. We meta-analyzed results from 22 PSF experiments and found an overall positive correlation (0.12 <= r over bar <= 0.32) between plant abundance in the field and PSFs across plant functional types (herbaceous and woody plants) but also variation by plant functional type. Thus, our analysis provides quantitative support that plant abundance has a general albeit weak positive relationship with PSFs across ecosystems. Overall, our results suggest that harmful soil biota tend to accumulate around and disproportionately impact species that are rare. However, data for the herbaceous species, which are most common in the literature, had no significant abundance-PSFs relationship. Therefore, we conclude that further work is needed within and across biomes, succession stages and plant types, both under controlled and field conditions, while separating PSF effects from other drivers (e.g., herbivory, competition, disturbance) of plant abundance to tease apart the role of soil biota in causing patterns of plant rarity versus commonness

    The GABBR1 locus and the G1465A variant is not associated with temporal lobe epilepsy preceded by febrile seizures

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    BACKGROUND: Polymorphism G1465A in the GABBR1 gene has been suggested as a risk factor for non-lesional temporal lobe epilepsy (TLE); however, this genetic association study has not been independently replicated. We attempted to replicate this study in our cohort of patients with TLE. Furthermore, we also analyzed the coding sequence of this gene and searched for disease-causing mutations. METHODS: We included 120 unrelated individuals with TLE that was preceded by febrile seizures (FS) who did not have any evidence of structural lesions suggesting secondary epilepsy. 66 individuals had positive family history of TLE epilepsy and 54 were sporadic. Each patient was genotyped for the presence of G1465A polymorphism. All exons of the GABBR1 gene were screened by single strand confirmation polymorphism method. Genotypes were compared with two independent matched control groups. RESULTS: We detected two A alleles of the G1465A polymorphism in one homozygous control subject (0.87% of all alleles) and one A allele in a patient with TLE (0.45%, not significant). Other detected polymorphisms in coding regions had similar frequencies in epilepsy patients and control groups. No disease causing mutations in the GABBR1 gene were detected in patients with sporadic or familial TLE. CONCLUSION: Our results indicate that TLE preceded by FS is not associated with the polymorphisms or mutations in the GABBR1 gene, including the G1465A polymorphism. The proportion of TLE patients with FS in the original study, reporting this positive association, did not differ between allele A negative and positive cases. Thus, our failure to reproduce this result is likely applicable to all non-lesional TLE epilepsies
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