Search

Your search keyword '"AN Cui-hong"' showing total 5,227 results
Start Over Author "AN Cui-hong"
5,227 results on '"AN Cui-hong"'

1. Criticality of global monopole charges in diverse dimensions

Author

Cui, Hong-Ming and Fan, Zhong-Ying

Subjects
High Energy Physics - Theory, General Relativity and Quantum Cosmology
Abstract

In this work, we construct charged AdS black holes with a global monopole charge in diverse dimensions and study the thermodynamics. We find a critical monopole charge below which the solution exhibits Van-der Waals like behaviors. In the context of holography, this could be intepreted using the boundary degrees of freedoms. As an example, we study the phase diagram in the four dimensions analytically. We further analyze the microstructures of the solution using Ruppeiner geometry. We find that repulsive interactions dominates for black holes in a wide range of temperatures. However, around the critical point, attractive interactions is dominant and the Ruppeiner scalar curvature shows universal behaviors: it has a critical exponent $2$ and coefficient $-1/8$ in diverse dimensions. Universality of the results is interpreted from the scaling behavior of free energy near the critical point for Van-der Waals like fluids., Comment: minor revisions;21pages, 9figures

Published
2024

2. Criticality of central charges for Gauss-Bonnet black holes

Author

Cui, Hong-Ming and Fan, Zhong-Ying

Subjects
High Energy Physics - Theory
Abstract

Employing extended phase space formalism, we study critical phenomenon of A-charge and C-charge for holographic theories dual to Gauss-Bonnet black holes. We find a universal critical Gauss-Bonnet coupling, giving rise to a universal ratio between the two central charges at the critical point. This leads to a new intepretation for critical behavior of Gauss-Bonnet black holes in terms of the boundary degrees of freedoms, although the solutions are electrically neutral. Another novel feature is for either of the central charges, the transition temperature is beyond the critical point but is upper bounded by causality of the boundary theories., Comment: 12pages, 3figures; minor revisions, reference added

Published
2024

6. When Geoscience Meets Foundation Models: Towards General Geoscience Artificial Intelligence System

Author

Zhang, Hao, Xu, Jin-Jian, Cui, Hong-Wei, Li, Lin, Yang, Yaowen, Tang, Chao-Sheng, and Boers, Niklas

Subjects
Computer Science - Artificial Intelligence, Physics - Geophysics
Abstract

Artificial intelligence (AI) has significantly advanced Earth sciences, yet its full potential in to comprehensively modeling Earth's complex dynamics remains unrealized. Geoscience foundation models (GFMs) emerge as a paradigm-shifting solution, integrating extensive cross-disciplinary data to enhance the simulation and understanding of Earth system dynamics. These data-centric AI models extract insights from petabytes of structured and unstructured data, effectively addressing the complexities of Earth systems that traditional models struggle to capture. The unique strengths of GFMs include flexible task specification, diverse input-output capabilities, and multi-modal knowledge representation, enabling analyses that surpass those of individual data sources or traditional AI methods. This review not only highlights the key advantages of GFMs, but also presents essential techniques for their construction, with a focus on transformers, pre-training, and adaptation strategies. Subsequently, we examine recent advancements in GFMs, including large language models, vision models, and vision-language models, particularly emphasizing the potential applications in remote sensing. Additionally, the review concludes with a comprehensive analysis of the challenges and future trends in GFMs, addressing five critical aspects: data integration, model complexity, uncertainty quantification, interdisciplinary collaboration, and concerns related to privacy, trust, and security. This review offers a comprehensive overview of emerging geoscientific research paradigms, emphasizing the untapped opportunities at the intersection of advanced AI techniques and geoscience. It examines major methodologies, showcases advances in large-scale models, and discusses the challenges and prospects that will shape the future landscape of GFMs., Comment: the manuscript is under review

Published
2023

15. Rapid measurement of the net charge on a nanoparticle in an optical levitation system

Author

Jin-Chuan, Wang, Cui-Hong, Li, Shao-Chong, Zhu, Chao-Xiong, He, Zhi-Ming, Chen, Zhen-Hai, Fu, and Hui-Zhu, Hu

Subjects
Physics - Applied Physics
Abstract

The accurate measurement of the net charge on a nanoparticle is critical in both the research and application of nanoparticles. Particularly, in the field of precision sensing based on optically levitated nanoparticles, the precise measurement of the net charge on a nanoparticle is prerequisite for stable levitation before electric control process and for the detecting of quantities such as the electric field. However, the accurate measurement of the net charge on a levitated nanoparticle still faces challenges. Here, we proposes a method to measure the net charge accurately through its thermally and harmonically driven motional signals. With the numerical calculation of the dynamic temperature of the optically-levitated nanoparticle, the long-term dynamic net charge on the nanoparticle can be tracked. This method can achieve an accurate measurement with the accuracy of better than 5% at thermal equilibrium pressures of more than 10 mbar and accuracy of ~20% till 3 mbar, where the net charge barely changes spontaneously, and nonlinearities in the levitated oscillator is relatively small. As the net charge is integer discrete, the method provides nearly completely accurate measurements of nanoparticles with few charges. The result can be applied to improve the measurement accuracy for mass and density through iteration and this method provides a way toward non-contact characterization of aerology, space dust, etc., Comment: 9 pages, 8 figures

Published
2023

21. Morphology, genetic characterization and phylogeny of Moniliformis tupaia n. sp. (Acanthocephala: Moniliformidae) from the northern tree shrew Tupaia belangeri chinensis Anderson (Mammalia: Scandentia)

Author

Hui-Xia Chen, Zhi-Jun Yu, Jun Ma, Cui-Hong Zhao, Fu-Qiong Cao, and Liang Li

Subjects
Acanthocephala, Moniliformis, morphology, phylogeny, Tupaiidae, Biochemistry, QD415-436, Infectious and parasitic diseases, RC109-216, Microbiology, QR1-502
Abstract

A new species of Moniliformis, M. tupaia n. sp. is described using integrated morphological methods (light and scanning electron microscopy) and molecular techniques (sequencing and analysing the nuclear 18S, ITS, 28S regions and mitochondrial cox1 and cox2 genes), based on specimens collected from the intestine of the northern tree shrew Tupaia belangeri chinensis Anderson (Scandentia: Tupaiidae) in China. Phylogenetic analyses show that M. tupaia n. sp. is a sister to M. moniliformis in the genus Moniliformis, and also challenge the systematic status of Nephridiacanthus major. Moniliformis tupaia n. sp. represents the third Moniliformis species reported from China.

Published
2024
Full Text
View/download PDF

22. Impact of Large Language Models on Medical Education and Teaching Adaptations

Author

Li Zhui, Nina Yhap, Liu Liping, Wang Zhengjie, Xiong Zhonghao, Yuan Xiaoshu, Cui Hong, Liu Xuexiu, and Ren Wei

Subjects
Computer applications to medicine. Medical informatics, R858-859.7
Abstract

AbstractThis viewpoint article explores the transformative role of large language models (LLMs) in the field of medical education, highlighting their potential to enhance teaching quality, promote personalized learning paths, strengthen clinical skills training, optimize teaching assessment processes, boost the efficiency of medical research, and support continuing medical education. However, the use of LLMs entails certain challenges, such as questions regarding the accuracy of information, the risk of overreliance on technology, a lack of emotional recognition capabilities, and concerns related to ethics, privacy, and data security. This article emphasizes that to maximize the potential of LLMs and overcome these challenges, educators must exhibit leadership in medical education, adjust their teaching strategies flexibly, cultivate students’ critical thinking, and emphasize the importance of practical experience, thus ensuring that students can use LLMs correctly and effectively. By adopting such a comprehensive and balanced approach, educators can train health care professionals who are proficient in the use of advanced technologies and who exhibit solid professional ethics and practical skills, thus laying a strong foundation for these professionals to overcome future challenges in the health care sector.

Published
2024
Full Text
View/download PDF

33. Exploring Relationship among Self-Regulated Learning, Self-Efficacy and Engagement in Blended Collaborative Context

Author

Zhao, Shu-rong and Cao, Cui-hong

Abstract

Collaboration proves to be an effective way to facilitate students' engagement and solve the mostly-mentioned problems of blended learning (BL). For collaborative BL, self-regulated learning (SRL), self-efficacy and engagement are frequently referred to in BL studies and represent key elements of effective BL. Furthermore, the interaction of these elements correlates closely with the performance of students. There have been few research attempts to draw synergies and explore the relationship among these key elements. To address this gap, data were collected through a questionnaire and records on LMS from 125 students in a Chinese university. Descriptive analytics show that students fully recognize the positive effects of collaborative BL. Correlation analysis and regression analysis find that self-regulated learning (SRL) is significantly correlated with all factors except workload. It is also a significant predictor of behavioral engagement. Therefore, SRL proves to be central among the essential BL elements. Emotional engagement is significantly correlated to and interact with multiple key BL factors. Specifically, emotional engagement is a significant predictor of behavioral engagement. The findings offer insight into the interactions of key elements of BL and provide practical implications for improving BL learning design.

Published
2023
Full Text
View/download PDF

50. Electroacupuncture intervention alleviates depressive-like behaviors and regulates gut microbiome in a mouse model of depression

Author

Jia-quan Wei, Jie Bai, Cui-hong Zhou, Huan Yu, Wen Zhang, Fen Xue, and Hong He

Subjects
Electroacupuncture, Depression, Chronic unpredictable mild stress, Gut microbiota, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

Electroacupuncture (EA) is a neuroregulatory therapy for depression. Nonetheless, the effects of EA on the gut microbiome in mice models of depression are not well established. Here, using a chronic unpredictable mild stress (CUMS) model in mice, we evaluated the antidepressant effects of EA and changes in gut microbiota with behavioral tests and 16S rRNA gene sequencing. The results found that EA increased the time spent in the center area of the open-field test and the percentage of sucrose preference and reduced the immobility time in the tail suspension test in CUMS-treated mice. Furthermore, the genus Lachnoclostridium, Ruminococcaceae_UCG-002 and Rikenellaceae_RC9_gut_group were enriched in the CUMS group, which was positively correlated with depressive-like behaviors. Whereas phylum Actinobacteria and genus Allobaculum, Bifidobacterium, Dubosiella, Rikenella and Ileibacterium were enriched in the EA and CUMS + EA groups, all of which were negatively correlated with depressive-like behaviors. This study characterizes gut microbiota under EA treatment and provides new insights into the association of anti-depressive-like effects of EA and gut microbiota.

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results