3,279 research outputs found
Being Knowledgeable of Sociable?: Differences in Relative Importance of Cognitive and Non-Cognitive Skills
This paper develops a model of college admissions that emphasizes their role as a human capital evaluation method. Given multiple dimensions of human capital, di¤erent pattens of human capital evaluation and develpment emerge as equilibria. These equilibria with a varying emphasis on di¤erent aspects of human capital can match an observed di¤erence in college admission patterns between East Asian countries and the U.S. The model has a macroeconomic implication about the relationship between measured human capital and economic performances. We demonstrate the support for this implication through cross-country regressions.
Semiquandles and flat virtual knots
We introduce an algebraic structure we call semiquandles whose axioms are
derived from flat Reidemeister moves. Finite semiquandles have associated
counting invariants and enhanced invariants defined for flat virtual knots and
links. We also introduce singular semiquandles and virtual singular
semiquandles which define invariants of flat singular virtual knots and links.
As an application, we use semiquandle invariants to compare two Vassiliev
invariants.Comment: 14 page
Influenza
The World Health Organisation estimates that approximately one billion people are infected and up to 500 000 people die from influenza each year.1 The greatest burden of illness usually occurs among children, while the highest burden of severe disease (in terms of hospitalisation and death) occurs in those with underlying medical conditions, infants and young children, and elderly people.2 Current circulating influenza strains in humans include influenza A(H1N1)pdm09, influenza A(H3N2), and both influenza B viruses (B/Victoria and B/Yamagata).3 4 This article provides non-specialists with information on how to diagnose, manage, and prevent flu
Leveraging VGI Integrated with 3D Spatial Technology to Support Urban Intensification in Melbourne, Australia
High density residential development in metropolitan Melbourne, where contradictory imperatives of neighbourhood character and urban intensification play important roles, remains an uncertain practice. One key issue for plan implementation is the lack of consistency between authorities, developers and the community in interpreting the standards, design guidelines, and state/local strategies, especially those relating to neighbourhood character. There is currently no mechanism to incorporate community perceptions and place experiences as subjective aspects of neighbourhood character in development assessments. There is also little use of micro-scale and multi-dimensional spatial analysis to integrate these subjective aspects with objective measures (e.g. building volume and height; streetscape) to communicate effectively—and in a limited timeframe—with all stakeholders. This paper explores the potential of two emerging geospatial technologies that can be leveraged to respond to these problems. Evidence in the literature suggests that volunteered geographic information (VGI) can provide community input around subjective aspects of the urban environment. In addition, a deluge of three-dimensional (3D) spatial information (e.g. 3D city models) is increasingly available for micro-level (building- or property-level) assessment of the physical aspects of the urban environment. This paper formulates and discusses a conceptual framework to link these two spatial technological advancements in a virtual geographic environment (VGE) that accounts for micro-scale 3D spatial analysis incorporating both subjective and objective aspects of neighbourhood character relevant in implementing compact city strategies
Thermal Transport Across Graphene Step Junctions
Step junctions are often present in layered materials, i.e. where
single-layer regions meet multi-layer regions, yet their effect on thermal
transport is not understood to date. Here, we measure heat flow across graphene
junctions (GJs) from monolayer to bilayer graphene, as well as bilayer to
four-layer graphene for the first time, in both heat flow directions. The
thermal conductance of the monolayer-bilayer GJ device ranges from ~0.5 to
9.1x10^8 Wm-2K-1 between 50 K to 300 K. Atomistic simulations of such GJ device
reveal that graphene layers are relatively decoupled, and the low thermal
conductance of the device is determined by the resistance between the two
dis-tinct graphene layers. In these conditions the junction plays a negligible
effect. To prove that the decoupling between layers controls thermal transport
in the junction, the heat flow in both directions was measured, showing no
evidence of thermal asymmetry or rectification (within experimental error
bars). For large-area graphene applications, this signifies that small bilayer
(or multilayer) islands have little or no contribution to overall thermal
transport
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