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Published in 2020 at "Journal of Psycholinguistic Research"
DOI: 10.1007/s10936-020-09719-2
Abstract: In a self-paced reading study, we investigated how effects of biasing contexts in idiom processing interact with effects of idiom literality. Specifically, we tested if idioms with a high potential for literal interpretation (e.g., break…
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Keywords:
paced reading;
self paced;
idiom processing;
literality ... See more keywords
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Published in 2020 at "Journal of psycholinguistic research"
DOI: 10.1007/s10936-020-09744-1
Abstract: The study aims to explore the processing pattern of Mandarin Chinese sentences with complement coercion. Complement coercion is a known linguistic phenomenon in which some verbs, semantically requiring an event-denoting complement, are combined with an…
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Keywords:
mandarin chinese;
study;
paced reading;
complement coercion ... See more keywords
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Published in 2022 at "Journal of psycholinguistic research"
DOI: 10.1007/s10936-022-09861-z
Abstract: Idioms entail a competition between bottom-up and top-down activations of literal and figurative meanings. The present study explored the involvement of cognitive control in processing Hebrew ambiguous idioms. Fifty subjects have completed a self-paced reading…
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Keywords:
ambiguous idioms;
self paced;
paced reading;
control processing ... See more keywords
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Published in 2017 at "International Journal of Precision Engineering and Manufacturing"
DOI: 10.1007/s12541-017-0105-5
Abstract: Understanding dynamic stability during locomotion is very important for preventing falling and injury. Although many previous studies have investigated dynamic stability characteristics under self-paced speed (SP) and fixed-speed (FS) conditions, very few have directly compared…
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Keywords:
dynamic stability;
paced speed;
speed;
stability ... See more keywords
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Published in 2018 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2018.03.004
Abstract: Abstract In this paper, we propose a robust ridge regression model based on self-paced learning (RR-SPL) for the high-dimensional spectroscopic data. The proposed RR-SPL model consists of a weighted least-squares loss term on all training…
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Keywords:
model;
self paced;
ridge regression;
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Published in 2017 at "Journal of biomechanics"
DOI: 10.1016/j.jbiomech.2017.10.015
Abstract: This study investigated the fractal dynamic properties of stride time (ST), stride length (SL) and stride speed (SS) during walking on a self-paced treadmill (STM) in which the belt speed is automatically controlled by the…
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Keywords:
fractal dynamic;
walking self;
paced treadmill;
speed ... See more keywords
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Published in 2017 at "Journal of science and medicine in sport"
DOI: 10.1016/j.jsams.2017.04.015
Abstract: OBJECTIVES To assess the physiological and performance effects of a 12% carbohydrate-electrolyte beverage consumed at practically applicable time-points (i.e., before each half) throughout simulated soccer match-play. DESIGN Randomised, counterbalanced, crossover. METHODS Fed players (n=15) performed…
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Keywords:
carbohydrate electrolyte;
electrolyte beverage;
performance;
exercise ... See more keywords
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Published in 2019 at "Journal of surgical education"
DOI: 10.1016/j.jsurg.2018.08.019
Abstract: OBJECTIVE At our residency program, incoming interns are traditionally taught fundamental open surgical skills like suturing and knot tying in a group setting by viewing 12 instructional videos consecutively followed by individual baseline skill testing.…
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Keywords:
video;
surgical skills;
group;
open surgical ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.04.075
Abstract: Abstract Self-paced learning (SPL) is a powerful framework, where samples from easy ones to more complex ones are gradually involved in the learning process. Its superiority is significant when dealing with challenging vision tasks, like…
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Keywords:
image classification;
multi modal;
self paced;
paced learning ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.03.062
Abstract: Abstract Multi-task clustering (MTC) has attracted a lot of research attentions in machine learning due to its ability in utilizing the relationship among different tasks. Despite the success of traditional MTC models, they are either…
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Keywords:
task clustering;
multi task;
self paced;
paced multi ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.04.066
Abstract: Abstract As an irreparable brain disease, Alzheimer's disease (AD) seriously impairs human thinking and memory. The accurate diagnosis of AD plays an important role in the treatment of patients. Many machine learning methods have been…
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Keywords:
multi modal;
latent correlation;
classification;
self paced ... See more keywords