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Yan Ye [5]Yanping Ye [1]Yangdong Ye [1]Yang Ye [1]
Yan-Hong Ye [1]
  1. Understanding the Impact of the Psychological Cognitive Process on Student Learning Satisfaction: Combination of the Social Cognitive Career Theory and SOR Model.Guihua Zhang, Xiaoyao Yue, Yan Ye & Michael Yao-Ping Peng - 2021 - Frontiers in Psychology 12.
    In higher education, student learning satisfaction is a significant predictor of learning that indicates the commitment students have to their learning and future academic achievement. The study combines the social cognitive career theory and the stimulus-organism-response model to explore the psychological cognition and attitudes derived from students during their learning, discusses the pattern of student learning satisfaction enhancement from the aspect of process, and further understands the relationships among social support systems, interaction relationships, self-efficacy, generic skills, and learning satisfaction. In (...)
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  2.  27
    The Thickness Imaging of Channels Using Multiple-Frequency Components Analysis.Yan Ye, Bo Zhang, Niu Cong, Jie Qi & Huailai Zhou - 2019 - Interpretation 7 (1):B1-B8.
    Blending of different frequency components of seismic traces is a common way to estimate the relative time thickness of the formation. Red, blue, and green color blending is one of the most popular blending models in analyzing multiple seismic attributes. Geologists and geophysicist interpreters typically associate low-frequency components with a red color, medium-frequency components with a green color, and high-frequency components with a blue color for the thickness estimation of thin beds using frequency components. However, we found that the same (...)
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  3.  22
    The Thickness Imaging of Channels Using Multiple-Frequency Components Analysis.Yan Ye, Bo Zhang, Cong Niu, Jie Qi & Huailai Zhou - 2019 - Interpretation: SEG 7 (1):B1-B8.
    Blending of different frequency components of seismic traces is a common way to estimate the relative time thickness of the formation. Red, blue, and green color blending is one of the most popular blending models in analyzing multiple seismic attributes. Geologists and geophysicist interpreters typically associate low-frequency components with a red color, medium-frequency components with a green color, and high-frequency components with a blue color for the thickness estimation of thin beds using frequency components. However, we found that the same (...)
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  4.  25
    Evaluative Conditioning Effects Are Modulated by the Nature of Contextual Pairings.Sean Hughes, Yang Ye & Jan De Houwer - 2018 - Cognition and Emotion 33 (5):871-884.
    ABSTRACTAcross two studies participants completed a learning phase comprised of two types of trials: context pairing trials in which two words were identical or opposite to one another and evaluative conditioning trials in which a CS was paired with a US. Based on the idea that EC occurs because CS-US pairings function as a symbolic cue about the relation between the CS and the US, we hypothesised that the nature of context pairings might moderate EC effects. Results indicate that identity-based (...)
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  5.  2
    Exploring the Impact of Individual and Social Antecedents on Teachers’ Teaching Innovation: Perspective of Goal-Oriented Behavior and Social Identity.Caixia Cao, Beibei Chen, Suping Yang, Xu Zheng, Yan Ye & Xiaoyao Yue - 2022 - Frontiers in Psychology 13.
    Many scholars have investigated education management. Scholars in the education field have made significant achievements in contributing to multiple educational reform policies, while other scholars discuss teacher-related issues from the perspective of organizational behavior. The teaching innovation of high school teachers plays a critical role in students’ learning attitude and motivation, especially in the context of the COVID-19 pandemic. Teachers need to utilize more diversified teaching methods to enable students to carry out effective learning. In order to examine teachers’ teaching (...)
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  6. Translation Mechanism of Neural Machine Algorithm for Online English Resources.Yanping Ye - 2021 - Complexity 2021:1-11.
    At the level of English resource vocabulary, due to the lack of vocabulary alignment structure, the translation of neural machine translation has the problem of unfaithfulness. This paper proposes a framework that integrates vocabulary alignment structure for neural machine translation at the vocabulary level. Under the proposed framework, the neural machine translation decoder receives external vocabulary alignment information during each step of the decoding process to further alleviate the problem of missing vocabulary alignment structure. Specifically, this article uses the word (...)
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  7.  1
    Effect of Social Media Overload on College Students’ Academic Performance Under the COVID-19 Quarantine.Yan Xu, Yilan Li, Qingfang Zhang, Xianghua Yue & Yan Ye - 2022 - Frontiers in Psychology 13.
    Features and relevant services of online social media have been attracting users during the COVID-19 pandemic. Previous studies have shown that college students tend to use social media more frequently than other groups. However, in being affected by social media overload, the social media use behaviors of many college students have been out of their control in terms of their capabilities or cognition. Based on the stressor–strain–outcome model and the theory of compensatory internet use, we developed a research model to (...)
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  8.  1
    Philosophy of Education in Taiwan: Retrospect and Prospect.Ruyu Hung, Katia Lenehan, Yen-Yi Lee, Chia-Ling Wang, Yi-Huang Shih, Yan-Hong Ye, Cheng-Hsi Chien, Jui-Hsuan Hung, Chen-Peng Yu, Chun-Ping Wang, Morimichi Kato & Yasushi Maruyama - forthcoming - Educational Philosophy and Theory:1-14.
  9.  13
    The Density-Based Agglomerative Information Bottleneck.Yongli Ren, Yangdong Ye & Gang Li - 2008 - In Tu-Bao Ho & Zhi-Hua Zhou (eds.), Pricai 2008: Trends in Artificial Intelligence. Springer. pp. 333--344.
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