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Research of Inference Rules on Decision Implication and Variable Decision Implication [PDF]

Jisuanji kexue yu tansuo, 2022
Formal concept analysis is a data analysis method based on concept lattice, while decision implication and variable decision implication are two decision knowledge representations of formal concept analysis.
XUE Dongqian, ZHAI Yanhui, ZHANG Shaoxia, LI Deyu, XU Weihua
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Asymmetric projections of the arcuate fasciculus to the temporal cortex underlie lateralized language function in the human brain

Frontiers in Neuroanatomy, 2015
The arcuate fasciculus (AF) in the human brain has asymmetric structural properties. However, the topographic organization of the asymmetric AF projections to the cortex and its relevance to cortical function remain unclear.
Shigetoshi eTakaya, Shigetoshi eTakaya, Gina eKuperberg, Gina eKuperberg, Gina eKuperberg, Hesheng eLiu, Hesheng eLiu, Douglas eGreve, Douglas eGreve, Nikos eMakris, Nikos eMakris, Steven Marshall Stufflebeam, Steven Marshall Stufflebeam, Steven Marshall Stufflebeam   +13 more
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Drifting through basic subprocesses of reading: A hierarchical diffusion model analysis of age effects on visual word recognition

Frontiers in Psychology, 2016
Reading is one of the most popular leisure activities and it is routinely performed by most individuals even in old age. Successful reading enables older people to master and actively participate in everyday life and maintain functional independence. Yet,
Eva Froehlich, Eva Froehlich, Eva Froehlich, Johanna Liebig, Johanna Liebig, Johanna Liebig, Johannes C Ziegler, Mario Braun, Ulman Lindenberger, Hauke R Heekeren, Hauke R Heekeren, Hauke R Heekeren, Arthur M Jacobs, Arthur M Jacobs, Arthur M Jacobs   +14 more
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Task modulation of brain responses in visual word recognition as studied using EEG/MEG and fMRI

Frontiers in Human Neuroscience, 2013
Do task demands change the way we extract information from a stimulus, or only how we use this information for decision making? In order to answer this question for visual word recognition, we used EEG/MEG as well as fMRI to determine the latency ranges ...
Yuanyuan eChen, Yuanyuan eChen, Matthew H Davis, Friedemann ePulvermüller, Friedemann ePulvermüller, Olaf eHauk   +5 more
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Can a lexical decision task predict efficiency in the judgment of ambiguous sentences?

Psicologia: Reflexão e Crítica, 2018
The lexicon plays a fundamental role in reading, but little is known about how it influences reading efficiency. Thus, this study seeks to identify which lexical factors in a lexical decision task are relevant in a semantic decision test.
Paulo Guirro Laurence, Tatiana Matheus Pinto, Alexandre Tadeu Faé Rosa, Elizeu Coutinho Macedo   +3 more
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Intelligent semantic acquisition and smart decision support system of coal mine safety hazards

Gong-kuang zidonghua, 2018
In view of problems of lacking intelligent semantic extraction function and multi—attribute interconnection retrieval analysis and decision function，and low intelligence degree in existing intelligent semantic acquisition and decision system of coal mine
CHEN Zihua, LI Jingzhao
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Flexible recruitment of semantic richness: Context modulates body-object interaction effects in lexical-semantic processing

Frontiers in Human Neuroscience, 2012
Body-object interaction (BOI) is a semantic richness variable that measures the perceived ease with which the human body can physically interact with a word’s referent.
Cody eTousignant, Penny M Pexman
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Sex Differences Influence ERP Components in Semantic Decisions

Brain Sciences
Background/Objectives: Prediction is a fundamental mechanism of language comprehension, enabling readers to generate expectations about upcoming words during sentence processing.
Fabiola R. Gómez-Velázquez, Vanessa D. Ruiz-Stovel, Carlos González-Medina, Sergio A. Nava, Aurora Espinoza-Valdez   +4 more
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Semantic Richness Effects in Syntactic Classification: The Role of Feedback

Frontiers in Psychology, 2016
Words with richer semantic representations are recognized faster across a range of lexical processing tasks. The most influential account of this finding is based on the idea that semantic richness effects are mediated by feedback from semantic-level to ...
Melvin J Yap, Penny M Pexman
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Convolutional neural network-based automated segmentation and labeling of the lumbar spine X-ray

Journal of Craniovertebral Junction and Spine, 2021
Purpose: This study investigated the segmentation metrics of different segmentation networks trained on 730 manually annotated lateral lumbar spine X-rays to test the generalization ability and robustness which are the basis of clinical decision support ...
Sandor Konya, T R Sai Natarajan, Hassan Allouch, Kais Abu Nahleh, Omneya Yakout Dogheim, Heinrich Boehm   +5 more
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