5,658 research outputs found
How Do Program Recruiters at One Ontario University Interpret the Internationalization Strategic Plan?
This study examines how program recruiters interpret a university’s internationalization strategic plan in Ontario, and how they translate this policy initiative into Chinese international students’ recruiting at the graduate level. In order to gain a deeper understanding of the processes related to the internationalization of higher education in Canada, this study explores recruitment as one key aspect of the university’s internationalization efforts. A qualitative research approach was used in designing this study. The data was gathered from three Ontario universities’ internationalization policy initiatives and semi-structured interviews with recruiters from a research-intensive university in Ontario. The findings demonstrate significant implications for internal and external recruitment networks and for the recruitment strategies in Canadian higher education
Migrating Knowledge between Physical Scenarios based on Artificial Neural Networks
Deep learning is known to be data-hungry, which hinders its application in
many areas of science when datasets are small. Here, we propose to use transfer
learning methods to migrate knowledge between different physical scenarios and
significantly improve the prediction accuracy of artificial neural networks
trained on a small dataset. This method can help reduce the demand for
expensive data by making use of additional inexpensive data. First, we
demonstrate that in predicting the transmission from multilayer photonic film,
the relative error rate is reduced by 46.8% (26.5%) when the source data comes
from 10-layer (8-layer) films and the target data comes from 8-layer (10-layer)
films. Second, we show that the relative error rate is decreased by 22% when
knowledge is transferred between two very different physical scenarios:
transmission from multilayer films and scattering from multilayer
nanoparticles. Finally, we propose a multi-task learning method to improve the
performance of different physical scenarios simultaneously in which each task
only has a small dataset
Poly[aquaÂ[μ5-5-(isonicotinamido)Âisophthalato][μ4-5-(isonicotinamido)Âisophthalato]cerium(III)silver(I)]
The 4d–4f heteronuclear title complex, [AgCe(C14H8N2O5)2(H2O)]n, has a three-dimensional framework structure, generated by the carboxylÂate and pyridyl groups of the 5-(isonicotinamido)Âisophthalate (INAIP) ligands bridging the metal ions. The CeIII atom is coordinated by eight O atoms from six INAIP ligands and a water molÂecule in a distorted tricapped trigonal–prismatic geometry, while the AgI atom has a distorted trigonal–planar AgN2O geometry. O—H⋯O and N—H⋯O hydrogen bonds and π–π interÂactions between the pyridine and benzene rings [centroid–centroid distances = 3.642 (4) and 3.624 (3) Å] stabilize the crystal structure
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Harmful Asian American and Middle Eastern American Stereotypes in Popular Discourse
Middle Eastern Americans and Asian Americans suffer from ethnoracial stereotypes (e.g., Islamophobia, the model minority myth) in popular discourse and policy making, especially pertaining to civil liberties and immigration. Discussions on civil liberties and immigration should focus on unpacking the realities of minority experiences and demographics in order to create more inclusive public policies
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