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  1. 481
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    A Hierarchical Probabilistic Framework for Recognizing Learners’ Interaction Experience Trends and Emotions by Imène Jraidi, Maher Chaouachi, Claude Frasson

    Published 2014-01-01
    “…The evaluation of the framework showed promising results in predicting learners’ experience trends and emotional responses.…”
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  3. 483

    Carbonyl-nitrogen multi-resonance emitters for efficient OLEDs with high color purity by Zhiwei Wu, Peng Zou, Jingwen Xu, Xiaobin Dong, Ben Zhong Tang, Zujin Zhao

    Published 2025-02-01
    “…Abstract Multi-resonance (MR) materials hold an intriguing feature of narrow emission spectra and have attracted considerable attention in the manufacture of high-definition organic light-emitting diodes (OLEDs). However, the majority of MR materials are composed by a boron-nitrogen skeleton, which is unfavorable for expanding the scope of luminescent materials with narrow emission spectra to meet various application demands. …”
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  4. 484

    Distinct neural computations scale the violation of expected reward and emotion in social transgressions by Ting Xu, Lei Zhang, Feng Zhou, Kun Fu, Xianyang Gan, Zhiyi Chen, Ran Zhang, Chunmei Lan, Lan Wang, Keith M. Kendrick, Dezhong Yao, Benjamin Becker

    Published 2025-01-01
    “…Abstract Traditional decision-making models conceptualize humans as adaptive learners utilizing the differences between expected and actual rewards (prediction errors, PEs) to maximize outcomes, but rarely consider the influence of violations of emotional expectations (emotional PEs) and how it differs from reward PEs. …”
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    Impact of Serious Games on Teacher Training: An Analysis of Competence, Immersion, and Positive Emotions by Rina Machaca Viza, Fabian Hugo Rucano Paucar, Fabiola Talavera-Mendoza

    Published 2025-01-01
    “…Most pre-service teachers expressed positive views about the frequent use of the ABCCI serious game in science education, which successfully created an engaging and positive experience characterized by a sense of competence, immersion, and positive emotions, with an appropriate level of challenge and low levels of negative affect. …”
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  11. 491
  12. 492

    Emotional State Analysis Model of Humanoid Robot in Human-Computer Interaction Process by Boxin Peng

    Published 2022-01-01
    “…The rules of the dialogue system rely on manual design and lack of emotion detection of the interactive objects. In view of the shortcomings of traditional methods, this study designed an emotion analysis model based on deep neural network to detect the emotion of interactive objects and built an open-domain dialogue system of humanoid robot. …”
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  13. 493
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    Highly bright perovskite light-emitting diodes enabled by retarded Auger recombination by Zhiqi Li, Qi Wei, Yu Wang, Cong Tao, Yatao Zou, Xiaowang Liu, Ziwei Li, Zhongbin Wu, Mingjie Li, Wenbin Guo, Gang Li, Weidong Xu, Feng Gao

    Published 2025-01-01
    “…Abstract One of the key advantages of perovskite light-emitting diodes (PeLEDs) is their potential to achieve high performance at much higher current densities compared to conventional solution-processed emitters. …”
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  15. 495

    Affect Detection from Text-Based Virtual Improvisation and Emotional Gesture Recognition by Li Zhang, Bryan Yap

    Published 2012-01-01
    “…The intelligent agent was able to perform sentence-level affect detection from user inputs with strong emotional indicators. However, we noticed that many inputs with weak or no affect indicators also contain emotional implication but were regarded as neutral expressions by the previous interpretation. …”
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    Emotional intelligence and psychological well-being in nursing professionals from southern Chile by Alex Leandro Veliz Burgos, Anita Patricia Dörner Paris, Alexis Soto Salcedo, Jose Luis Reyes Lobos, Francisco Ganga Contreras

    Published 2018-04-01
    “…<br /><strong>Results</strong>: regarding emotional intelligence, high levels of of emotional perception were observed (35 %), emotional comprehension (36,1 %) and emotional regulation (42,7 %). …”
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  19. 499

    Random forest regressor for predicting sensory texture of emotional designed packaging films by Yong Ju Lee, Min Jung Joo, Ha Kyoung Yu, Tai-Ju Lee, Hyoung Jin Kim

    Published 2025-03-01
    “…A random forest (RF) regression model was developed to predict sensory texture preferences of packaging films, enhancing their emotional appeal to consumers. Five films, including matte and varnish-textured prints, were analyzed using a surface profilometer to measure roughness parameters (Ra, Ry, Rz, Rq, and R-MAD) in compliance with ISO 4287 and ISO 24118–1. …”
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  20. 500

    Enhancing Maternal Knowledge and Practices in Complementary Feeding through Emotional Demonstration Methods by Ani Intiyati, Imam Sarwo Edi, Inne Soesanti, Juliana Christianingsih, Kusmini Suprihatin, Luluk Widarti

    Published 2024-12-01
    “…Objectives: This study aimed to assess the effectiveness of the Emotional Demonstration (Emo Demo) method in improving maternal knowledge, attitudes, and behaviors related to complementary feeding. …”
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