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The Effects of Humor Intervention on Teenagers’ Sense of Humor, Positive Emotions, and learning Ability: A Positive Psychological Perspective

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Journal of Happiness Studies 2023年第4期24卷 1463-1481页

作者： Liao, Yu-Hsiu Lee, Mei-Fang Sung, Yao-Ting Chen, Hsueh-Chih Department of Educational Psychology and Counseling National Taiwan Normal University Taipei Taiwan Institute for Research Excellence in Learning Sciences National Taiwan Normal University Taipei Taiwan Chinese Language and Technology Center National Taiwan Normal University Taipei Taiwan

Amid widespread concerns about the mental health of teenagers, this quasi-experimental study examines the effects of a classroom humor intervention on 268 seventh graders’ positive emotions, as well as their sense of humor and language ability. The participants completed self-report measures and a language exam before and after the intervention, which lasted six weeks. Analysis of covariance and mediation analysis were used to evaluate the effects. The results supported the researchers’ hypotheses that the humor intervention would significantly increase learners’ positive emotions, sense of humor, and language ability. The mediation analysis revealed that sense of humor mediated the relationship between the humor intervention and positive emotions, and that neither sense of humor nor positive emotion was the sole factor contributing to the observed learning gains. The study concludes that the intervention helped foster a learner-friendly environment in which the participants increased their positive emotions, sense of humor and language ability simultaneously, and makes recommendations for practitioners and future researchers on that basis.

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Personality traits predict the effects of Internet and academic self-efficacy on practical performance anxiety in online learning under the COVID-19 lockdown

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Journal of research on Computing in Education 2023年第3期55卷 426-440页

作者： Jon-Chao Hong Wei Cao Xiaohong Liu Kai-Hsin Tai Li Zhao a Institute for Research Excellence in Learning Sciences National Taiwan Normal University Taipei City Taiwanb Department of Industrial Education National Taiwan Normal University Taipei City Taiwan c School of Education Science Nanjing Normal University Nanjing China

Due to COVID-19, the primary teaching method has changed from traditional face-to-face teaching to online teaching. The present study explored the correlates between two personality traits, Neuroticism and Extraversion, and two types of self-efficacy, Internet self-efficacy and academic self-efficacy, on practical performance anxiety. Data from 273 technical college students were collected. Structural equation modeling analysis was performed. Results show that Neuroticism and Extraversion can predict students’ practical performance anxiety through Internet and academic self-efficacy. Moreover, Neuroticism can negatively predict Internet and academic self-efficacy. Extraversion can positively predict Internet and academic self-efficacy. The two types of self-efficacy can positively predict practical performance anxiety. According to the results, it seems necessary to reduce students’ practical performance anxiety by paying attention to their personality features and their self-efficacy.

关键词： Personality Internet self-efficacy academic self-efficacy practical performance anxiety online learning structural equation modeling

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Ferrodifferentiation regulates neurodevelopment via ROS generation

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Science China(Life sciences) 2023年第8期66卷 1841-1857页

作者： Shiyang Chang Peina Wang Yingying Han Qiang Ma Zeyuan Liu Suijuan Zhong Yufeng Lu Ruiguo Chen Le Sun Qian Wu Guofen Gao Xiaoqun Wang Yan-Zhong Chang Laboratory of Molecular Iron Metabolism Ministry of Education Key Laboratory of Molecular and Cellular BiologyHebei Key Laboratory of Animal PhysiologyBiochemistryand Molecular BiologyCollege of Life SciencesHebei Normal UniversityShijiazhuang 050024China College of Basic Medicine Hebei Medical UniversityShijiazhuang 050017China State Key Laboratory of Brain and Cognitive Science CAS Center for Excellence in Brain Science and Intelligence Technology(Shanghai)Institute of BiophysicsChinese Academy of Sciences(CAS)BNU IDG/McGovern Institute for Brain ResearchBeijing 100101China State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal UniversityBeijing 100875China Beijing Institute of Brain Disorders Laboratory of Brain DisordersMinistry of Science and TechnologyCollaborative Innovation Center for Brain DisordersCapital Medical UniversityBeijing 100069China

Iron is important for life,and iron deficiency impairs development,but whether the iron level regulates neural differentiation remains *** this study,with iron-regulatory proteins(IRPs)knockout embryonic stem cells(ESCs)that showed severe iron deficiency,we found that the Pax6-and Sox2-positive neuronal precursor cells and Tuj1 fibers in IRP1^(-/-)IRP2^(-/-)ESCs were significantly decreased after inducing neural ***,in vivo study showed that the knockdown of IRP1 in IRP2^(-/-)fetal mice remarkably affected the differentiation of neuronal precursors and the migration of *** findings suggest that low intracellular iron status significantly inhibits *** supplementing IRP1^(-/-)IRP2^(-/-)ESCs with iron,these ESCs could differentiate *** investigations revealed that the underlying mechanism was associated with an increase in reactive oxygen species(ROS)production caused by the substantially low level of iron and the downregulation of iron-sulfur cluster protein ISCU,which,in turn,affected the proliferation and differentiation of stem ***,the appropriate amount of iron is crucial for maintaining normal neural differentiation that is termed ferrodifferentiation.

关键词： IRPs ESCs iron differentiation neurodevelopment ROS

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The Traf2 and NcK interacting kinase inhibitor NCB-0846 suppresses seizure activity involving the decrease of GRIA1

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Genes & Diseases 2024年第3期11卷 452-467页

作者： Min Wang Yixue Gu Qiubo Li Bangzhe Feng Xinke Lv Hao Zhang Qingxia Kong Zhifang Dong Xin Tian Yanke Zhang Department of Neurology Affiliated Hospital of Jining Medical UniversityJiningShandong 272000China Department of Neurology The First Affiliated Hospital of Chongqing Medical UniversityChongqing Key Laboratory of NeurologyChongqing 400016China Department of Pediatrics Affiliated Hospital of Jining Medical UniversityJiningShandong 272000China Department of Neurosurgery Affliated Hospital of Jining Medical UniversityJiningShandong 272000China Pediatric Research Institute Ministry of Education Key Laboratory of Child Development and DisordersNational Clinical Research Center for Child Health and DisordersChongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory DisordersChildren's Hospital of Chongqing Medical UniversityChongqing 400014China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai 200031China

Epilepsy,one of the most common neurological disorders,is characterized by spon-taneous recurrent *** lobe epilepsy(TLE)is one of the most common medically intractable seizure ***2-and NcK-interacting kinase(TNIK)has recently attracted attention as a critical modulation target of many neurological and psychiatric disorders,but its role in epilepsy remains *** this study,we hypothesized the involvement of TNIK in epilepsy and investigated TNIK expression in patients with intractable TLE and in a pilocarpineinduced rat model of epilepsy by western blotting,immunofluorescence,and immunohistochemistry.A pentylenetetrazole(PTZ)-induced epilepsy rat model was used to determine the effect of the TNIK inhibitor NCB-0846 on behavioral manifestations of ***(Co-IP)/mass spectrometry(MS)was used to identify the potential *** Co-IP,we detected and confirmed the main potential TNIK *** fractionation was used to establish the effect of NCB-0846 on the expression of the main interactors in postsynaptic density(PSD)*** found that TNIK was primarily located in neurons and decreased significantly in epilepsy model rats and TLE patients compared with ***-0846 delayed kindling progression and decreased seizure ***-IP/MS identified 63 candidate TNIK interactors in rat hippocampi,notably ***-IP showed that TNIK might correlate with endogenous GRIA1,SYN2,PSD-95,CaMKIV,GABRG1,and *** addition,the significant decrease in GRIA1 in hippocampal total lysate and PSDs after NCB-0846 treatment might help modify the progression of PTZ *** results suggest that TNIK contributes to epileptic pathology and is a potential antiepileptic drug target.

关键词： Epilepsy NCB-0846 Rat TLE TNIK Traf2-and NcK-interacting kinase

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ISLab at ROCLING 2023 MultiNER-Health Task: A Three-Stage NER Model Combining Textual Content and Label Semantics 35

ISLab at ROCLING 2023 MultiNER-Health Task: A Three-Stage NE...

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35th Conference on Computational Linguistics and Speech Processing, ROCLING 2023

作者： Wu, Jun-Jie Chang, Tao-Hsing Hsu, Fu-Yuan Department of Computer Science and Information Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan Institute for Research Excellence in Learning Sciences Research Center for Psychological and Educational Testing National Taiwan Normal University Taipei Taiwan

ISBN: (纸本)9789869576963

ROCLING 2023 MultiNER-Health Task is to identify named entities in the healthcare domain. These recognized named entities need to be further classified into one of ten categories. This study proposes a threestage framework. The first stage of the framework is to recognize and categorize named entities using Label Semantics Model. This model employs both of textual content and label semantics to identify name entities and their categories. In the second stage, the Label Correction Model is used to correct abnormal labels. In the third stage, a rule-based approach is employed to revise the abnormal labels that cannot be corrected in the second stage. The proposed method is evaluated on three test sets provided by the task and its average F1score is 0.6838. It is the best performing model for SM test set among all participating task models. © 2023 ROCLING 2023 - Proceedings of the 35th Conference on Computational Linguistics and Speech Processing. All rights reserved.

关键词： Semantics

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XoT (Xducation of Things): Harnessing AI and edge computing to educate all things

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IEEE Access 2024年

作者： Nurtantyana, Rio Hwang, Wu-Yuin Hariyanti, Uun Research Center for Data and Information Sciences Bandung Indonesia Telkom University School of Computing Indonesia Telkom University Center of Excellence Artificial Intelligence for Learning and Optimization Bandung Indonesia National Dong Hwa University College of Science and Engineering Department of Computer Science and Information Engineering Taiwan National Central University Graduate Institute of Network Learning Technology Taiwan Universitas Brawijaya Faculty of Computer Science Department of Information System Indonesia

Most English foreign language (EFL) studies focus solely on human beings. This research explores how edge computing can facilitate learning for all things. The XoT (Xducation of Things) framework was proposed to educate both human and all things. All things encompass two terms: AI-Agent and smartthings (covering physical and digital smart objects). At the core of this framework is Smart Question Answer Forwarding Mechanism (SQA-Forwarding), specifically designed to assist all things in building knowledge. To demonstrate this, the smartXoT environment was developed based on XoT framework, and its impacts on EFL learners was assessed. A quasi-experimental study involving 26 EFL learners, divided into an experimental group (EG) and a control group (CG), examined the differences in learning achievement of smartthings and EFL learners when using the smartXoT environment with/without SQA-Forwarding. Findings, on one hand, indicated that smartthings in the EG developed knowledge bases greater than those in the CG. On the other hand, the interaction between EFL learners and smartthings with SQA-Forwarding significantly improved learners' writing skills, with revisions playing a crucial role in enhancing writing quality. Thus, the XoT framework offers a novel and promising approach to educating both humans and all things. © 2013 IEEE.

关键词： Contrastive learning

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A single-cell transcriptome atlas of the aging human and macaque retina

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National Science Review 2021年第4期8卷 48-65页

作者： Wenyang Yi Yufeng Lu Suijuan Zhong Mei Zhang Le Sun Hao Dong Mengdi Wang Min Wei Haohuan Xie Hongqiang Qu Rongmei Peng Jing Hong Ziqin Yao Yunyun Tong Wei Wang Qiang Ma Zeyuan Liu Yuqian Ma Shouzhen Li Chonghai Yin Jianwei Liu Chao Ma Xiaoqun Wang Qian Wu Tian Xue Eye Center at The First Affiliated Hospital of USTC Hefei National Laboratory for Physical Sciences at the MicroscaleSchool of Life Sciences Division of Life Sciences and Medicine University of Science and Technology of China State Key Laboratory of Brain and Cognitive Science Institute of Brain-Intelligence TechnologyBioland Laboratory Institute of Biophysics Chinese Academy of Sciences University of Chinese Academy of Sciences State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University IDG/McGovern Institute for Brain Research Beijing Normal University Neurodegenerative Disorder Research Center CAS Key Laboratory of Brain Function and DiseaseUniversity of Science and Technology of China Department of Ophthalmology Beijing Key Laboratory of Restoration of Damaged Ocular Nerve Peking University Third Hospital Chinese Academy of Medical Sciences & Peking Union Medical College State Key Laboratory of Brain and Cognitive Science Institute of Brain-Intelligence Technology (Shanghai)Bioland Laboratory (Guangzhou) Institute of Biophysics Chinese Academy of Sciences Institute for Stem Cell and Regeneration Chinese Academy of Sciences Advanced Innovation Center for Human Brain Protection Beijing Institute for Brain DisordersCapital Medical University Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences National Resource Center for Non-Human Primates(Kunming) Primate Research Center at IBP(Beijing) Chinese Academy of Sciences

The human retina is a complex neural tissue that detects light and sends visual information to the ***, the molecular and cellular processes that underlie aging primate retina remain unclear. Here, we provide a comprehensive transcriptomic atlas based on 119 520 single cells of the foveal and peripheral retina of humans and macaques covering different ages. The molecular features of retinal cells differed between the two species, suggesting distinct regional and species specializations of the human and macaque retinae. In addition, human retinal aging occurred in a region-and cell-type-specific manner. Aging of human retina exhibited a foveal to peripheral gradient. MYO9A-rods and a horizontal cell subtype were greatly reduced in aging retina, indicating their vulnerability to aging. Moreover, we generated a dataset showing the cell-type-and region-specific gene expression associated with 55 types of human retinal disease, which provides a foundation to understanding of the molecular and cellular mechanisms underlying human retinal diseases. Such datasets are valuable to understanding of the molecular characteristics of primate retina, as well as molecular regulation of aging progression and related diseases.

关键词： single-cell RNA sequencing primate retina aging cell heterogeneity age-related disease cell-cell communication

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Development of the new media literacy scale for EFL learners in China: a validation study

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Interactive learning Environments 2023年第1期31卷 244-257页

作者： Lin Luan Jyh-Chong Liang Ching Sing Chai Tzu-Bin Lin Yan Dong a Department of Foreign Languages Beijing University of Posts and Telecommunications Beijing People’s Republic of Chinab School of Educational Technology Beijing Normal University Beijing People’s Republic of China c Program of Learning Sciences National Taiwan Normal University Taipei Taiwand Institute for Research Excellence in Learning Sciences National Taiwan Normal University Taipei Taiwan e Faculty of Education The Chinese University of Hong Kong Shatin Hong Kong f Department of Education National Taiwan Normal University Taipei Taiwan b School of Educational Technology Beijing Normal University Beijing People’s Republic of China

ABSTRACTABSTRACTThe emergence of new media technologies has empowered individuals to not merely consume but also create, share and critique media contents. Such activities are dependent on new media literacy (NML) necessary for living and working in the participatory culture of the twenty-first century. Although a burgeoning body of research has focused on the conceptualization of NML, limited studies have explored English as a foreign language (EFL) learners’ new media literacy. Considering the importance of NML for EFL learning and teaching, this quantitative study aims to develop and validate a research instrument for assessing EFL learners’ new media literacy (ENML) in China. Confirmatory factor analysis was employed to further examine the relationships among the different indicators of ENML. The sample consisted of 974 EFL learners (669 males, 305 females) from a comprehensive university in China. A comparison of the five proposed models indicated that all of them were acceptable, including a first-order model and four second-order models. The first-order model includes 10 indicators: consuming skill, understanding, analysis, synthesis, evaluation, prosuming skill, distribution, production, participation, and feedback. The other four second-order models describe the relationships among the 10 indicators of ENML. These results along with their implications for further research are also elaborated.

关键词： New media literacy scale development English as a foreign language (EFL) higher education

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Self-directed learning Predicts Online learning Engagement in Higher Education Mediated by Perceived Value of Knowing learning Goals

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The Asia-Pacific Education researcher 2022年第3期32卷 307-316页

作者： Sun, Wei Hong, Jon-Chao Dong, Yan Huang, Yue Fu, Qian School of Educational Technology Faculty of Education Beijing Normal University Beijing People’s Republic of China Department of Industrial Education Institute for Research Excellence in Learning Sciences National Taiwan Normal University Taipei Taiwan ROC School of E-learning Beijing University of Posts and Telecommunications Beijing People’s Republic of China

Online education has made it possible to implement the “classes suspended but learning continues” policy during the COVID-19 outbreak. However, the intangible sense of the online educational setting requires self-directed learning (SDL) and may force students to know the goals of learning that may impact their engagement. To understand the effect, based on situated expectancy-value theory, this study considered SDL as attitude and approach and constructed a research model to explore the mediating power of perceived value of knowing learning goals (PVKLG) related to participants’ online learning engagement during the COVID-19 lockdown. Data were collected from 497 higher education students in China. After the confirmatory factor analysis with structural equation modeling, the results reported that SDL attitude and approach positively predicted learning engagement mediated by PVKLG. The results suggest that only when students have a high level of PVKLG will they be able to regulate their learning process through the two types of SDL and enhance their engagement in online learning contexts during the COVID-19 lockdown.

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Are we ready to integrate modern technologies into the medical curriculum for students a systematic review

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Discover Education 2025年第1期4卷 1-18页

作者： Masoumian Hosseini, Seyedeh Toktam Qayumi, Karim Pourabbasi, Ata Haghighi, Elnaz Sabet, Babak Koohpaei, Alireza Shafiei, Zahra Masoumian Hosseini, Mohsen Nemati, Parniya Department of Nursing School of Nursing and Midwifery Torbat Heydariyeh University of Medical Sciences Torbat Heydariyeh Iran Research Affiliated CyberPatient at Centre of Excellence for Simulation Education and Innovation University of British Columbia Vancouver Canada Department of Surgery University of British Columbia Vancouver Canada Endocrinology and Metabolism Research Center Endocrinology and Metabolism Clinical Sciences Institute Tehran University of Medical Sciences Tehran Iran Department of Neuroscience and Addiction Studies School of Advanced Technologies in Medicine Tehran University of Medical Sciences Tehran Iran Department of Biochemistry Mashhad Medical Sciences Branch Islamic Azad University Mashhad Iran Faculty of Medicine Department of Surgery Shahid Beheshti University of Medical Sciences Tehran Iran Occupational Health and Safety Department Health Faculty Qom University of Medical Sciences Qom Iran Department of E-Learning in Medical Sciences Smart University of Medical Sciences Tehran Iran Department of Public Health Vahdat Clinic Mashhad University of Medical Sciences Mashhad Iran

Background: This study aims to explore the diverse applications of contemporary technological innovations in education and to propose effective strategies for their integration into the curriculum, addressing the complexities and collaborative efforts required for meaningful learning experiences. Method: This systematic review examines the integration of digital health tools, virtual reality, and artificial intelligence (AI) in medical education, adhering to PRISMA guidelines and Cochrane Handbook standards. The primary research question focuses on the benefits and challenges of incorporating these technologies into the medical curriculum. A comprehensive literature search from 2010 to September 2024 was conducted across Scopus, Web of Science, Embase, PubMed, and IEEE Xplore databases, selecting 24 relevant studies out of 3842 for thematic analysis, revealing seven key themes. The study utilized Rayyan for screening and consensus-building, followed the PRISMA Checklist for data extraction, and conducted quantitative and qualitative analyses, with stakeholder consultation for future research. Results: The study shows that medical students and faculty are generally ready to incorporate modern technologies into their curricula, but many lack a basic understanding of their applications in medicine. It emphasizes the need for a comprehensive redesign of educational frameworks to effectively incorporate modern technologies such as AI, virtual reality (VR), and augmented reality (AR). research demonstrates that these technologies enhance learning outcomes, improve students' understanding of complex medical concepts, and develop critical skills. The review emphasizes the transformative potential of simulation-based technologies, which can significantly boost confidence, teamwork, and communication skills among medical students. However, successful integration requires careful planning of curriculum topics based on technological capabilities. Conclusion: Contemporary techno

关键词： Curriculum Digital learning Integration Medical education Modern technology

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