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Published in 2019 at "Chemical Physics"
DOI: 10.1016/j.chemphys.2019.01.002
Abstract: Abstract Two-dimensional electronic spectroscopy has become one of the main experimental tools for analyzing the dynamics of excitonic energy transfer in large molecular complexes. Simplified theoretical models are usually employed to extract model parameters from…
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Keywords:
machine learning;
dimensional spectroscopic;
model parameters;
two dimensional ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3159571
Abstract: Finding reliable correspondences between two images is a fundamental problem in remote-sensing image registration. In the face of sparse and unordered correspondences, the previous learning-based works often focus on global information and ignore valuable local…
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Keywords:
network;
view correspondences;
learning two;
geometry ... See more keywords
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Published in 2017 at "Medical Education"
DOI: 10.1111/medu.13268
Abstract: An increasing number of medical schools around the world are implementing longitudinal integrated clerkships (LICs). The University of Alberta's third‐year LIC admits a small group of each class. Those not in the LIC undertake a…
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Keywords:
students experiences;
clerkship;
learning two;
role relationships ... See more keywords
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Published in 2017 at "American journal of botany"
DOI: 10.3732/ajb.1700040
Abstract: PREMISE OF THE STUDY The ability of insect visitors to learn to manipulate complex flowers has important consequences for foraging efficiency and plant fitness. We investigated learning by two butterfly species, Danaus erippus and Heliconius…
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Keywords:
benefits pollination;
butterfly species;
butterfly;
asclepias curassavica ... See more keywords