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Export channel selection is an important strategy for exporting firms. Over the last 45 years, there have been a number of studies investigating the antecedents and outcomes of this strategy. However, no single study systematically reviews the findings in this field. In order to address this gap, we review the literature on export channel selection up to 2015 and analyse findings on the determinants and/or consequences of export channel selection. Our review shows that in general export channel selection remains underexplored. We identify a number of issues in the current studies, including lacking knowledge of performance implication of channel selection, missing theoretical bases, weaknesses of research methods. Based on these, this review provides future research directions for development in export channel selection research. Highlights: • We review the export channel selection empirical studies in the last 40 years. • We analyse determinants and the consequence of export channel selection. • Areas to be strengthened include theoretical basis and methodological issues. • We provide suggestions for future research.

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Background: Next-generation sequencing (NGS) technologies have fostered an unprecedented proliferation of highthroughput sequencing projects and a concomitant development of novel algorithms for the assembly of short reads. However, numerous technical or computational challenges in de novo assembly still remain, although many new ideas and solutions have been suggested to tackle the challenges in both experimental and computational settings. Results: In this review, we first briefly introduce some of the major challenges faced by NGS sequence assembly. Then, we analyze the characteristics of various sequencing platforms and their impact on assembly results. After that, we classify de novo assemblers according to their frameworks (overlap graph-based, de Bruijn graph-based and string graph-based), and introduce the characteristics of each assembly tool and their adaptation scene. Next, we introduce in detail the solutions to the main challenges of de novo assembly of next generation sequencing data, single-cell sequencing data and single molecule sequencing data. At last, we discuss the application of SMS long reads in solving problems encountered in NGS assembly. Conclusions: This review not only gives an overview of the latest methods and developments in assembly algorithms, but also provides guidelines to determine the optimal assembly algorithm for a given input sequencing data type.

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By approximating the centrifugal term in terms of a new approximation scheme, we solve the Schrödinger equation with the arbitrary angular momentum for the Manning–Rosen potential. The bound state energy eigenvalues and the unnormalized radial wave functions have been approximately obtained by using the supersymmetric shape invariance approach and the function analysis method. The numerical experiments show that our approximate analytical results are in better agreement with those obtained by using the numerical integration procedure than the analytical results obtained by using the conventional approximation scheme to deal with the centrifugal term.

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