The first chapter uses an instrumental variable method to identify the causal effect of migrant networks on the probability of rural-urban labour migration in China. It uncovers a substantial heterogeneity in migrant network effects by gender, age groups, and between people with and without migration experience. Evidence shows that migrant networks affect migration decisions through increasing job tenure and improving work environments of migrants. The second and third chapters answer research questions related to gender wage gap and returns to postgraduate education in Canada. Using a broader set of occupational characteristics than previous studies, the second chapter adopts a quantile decomposition method to reveal that women with different educational levels experience the gender gap for different reasons. By applying imputation techniques in a novel way, this chapter quantitatively demonstrates that correcting for selection into work makes little difference in estimating the gender gap for individuals with post-secondary education. For individuals without post-secondary education, the use of observed characteristics is sufficient to capture the selection rule. The third chapter documents up-to-date evidence on the decline in returns to postgraduate education relative to four-year university degrees from to The return has declined in all major fields of study except engineering and computer science in which workers with postgraduate education have experienced a substantial gain over the same period of time. By focusing on the supply side of the labour market, this paper provides an explanation for the decline in returns to postgraduate education by exploring changes over time in the occupational composition of workers with postgraduate education.
Jianyuan Founder Gong Haiyan Launched A K-12 E-learning Platform
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China ABS Awards 2018
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Ultrasensitive detection of saccharides using terahertz sensor based on metallic nano-slits
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Find more information on the Altmetric Attention Score and how the score is calculated. Nanoparticle assembly can be controlled by multivalent binding interactions between surface ligands, indicating that more precise control over these interactions is important to design complex nanoscale architectures. It has been well-established in natural materials that the arrangement of different molecular species in three dimensions can affect the ability of individual supramolecular units to coordinate their binding, thereby regulating the strength and specificity of their collective molecular interactions.
However, in artificial systems, limited examples exist that quantitatively demonstrate how changes in nanoscale geometry can be used to rationally modulate the thermodynamics of individual molecular binding interactions. As a result, the use of nanoscale design features to regulate molecular bonding remains an underutilized design handle to control nanomaterials synthesis.
Here we demonstrate a polymer-coated nanoparticle material where supramolecular bonding and nanoscale structure are used in conjunction to dictate the thermodynamics of their multivalent interactions, resulting in emergent bundling of supramolecular binding groups that would not be expected on the basis of the molecular structures alone. Additionally, we show that these emergent phenomena can controllably alter the superlattice symmetry by using the mesoscale particle arrangement to alter the thermodynamics of the supramolecular bonding behavior.
The ability to rationally program molecular multivalency via a systems-level approach therefore provides a major step forward in the assembly of complex artificial structures, with implications for future designs of both nanoparticle- and supramolecular-based materials.
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