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Article ; Online: Mood Beta, Sentiment and Stock Returns in China

Yuan Li

SAGE Open, Vol

2022 Volume 12

Abstract: We examine the cross-sectional seasonality of stock excess returns in China. We find that stocks’ historical excess returns are positively related to their future excess returns under a congruent-mood period and negatively associated with their future ... ...

Abstract	We examine the cross-sectional seasonality of stock excess returns in China. We find that stocks’ historical excess returns are positively related to their future excess returns under a congruent-mood period and negatively associated with their future excess returns under a noncongruent-mood period. Besides, stocks with larger mood beta tend to outperform during mood periods, and this impact is still significant after differentiating companies. Moreover, consistent with our hypotheses, mood beta has stronger explanatory power after China’s unique Split-Share Structure Reform and RMB Exchange Rate Reform. Finally, mood beta has stronger explanatory power compared to sentiment beta during ascending and descending mood months.
Keywords	History of scholarship and learning. The humanities ; AZ20-999 ; Social Sciences ; H
Language	English
Publishing date	2022-02-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: What keeps historical theme park visitors coming? Research based on expectation confirmation theory.

Yuan, Li / Marzuki, Azizan

Frontiers in psychology

2024 Volume 15, Page(s) 1293638

Abstract: Culture is one of the most important factors in attracting tourists and influencing the tourist experience. In China, "theme park" is a new field of tourism research, an excellent theme park can not only drive the development of a city's tourism industry, ...

Abstract	Culture is one of the most important factors in attracting tourists and influencing the tourist experience. In China, "theme park" is a new field of tourism research, an excellent theme park can not only drive the development of a city's tourism industry, but also help it better publicize its history and culture. The article takes Kaifeng, China as the background, and selects the Song Dynasty historical and cultural theme park, which was established based on the traditional ink painting Qingming Riverside Drawing, as an example, to study the factors affecting tourists' travel experience in historical and cultural theme parks, and based on which it explores the reasons for the formation of tourists' satisfaction and post-trip behavioral intentions, to provide references and suggestions for the development of cultural theme parks from the point of view of travel experience. Based on the expectation confirmation theory, this essay introduces five constructs, namely, expectation (tourism motivation), performance (service quality), confirmation (tourism experience), satisfaction, and post-trip behavior intention, to construct a model of the factors influencing tourists' satisfaction by tourism experience in historical theme parks and analyze the intrinsic correlation among the factors within the model. It is found that tourists' tourism experience is mainly affected by tourism motivation and service quality, satisfaction and post-trip behavior intention are jointly determined by the above three. According to the research results, this study believes that tourism motivation, service quality, and tourism experience should be the focus of attention of the current tourist destinations, therefore, focusing on tourists' motivation to optimize the quality of service, helping tourists to enhance the sense of tourism experience, and improving based on the above focuses is of great significance to promote the development of historical and cultural theme parks.
Language	English
Publishing date	2024-02-29
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2563826-9
ISSN	1664-1078
ISSN	1664-1078
DOI	10.3389/fpsyg.2024.1293638
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Quantum Coding via Quasi-Cyclic Block Matrix

Yuan Li / Jin-Yang Li

Entropy, Vol 25, Iss 537, p

2023 Volume 537

Abstract: An effective construction method for long-length quantum code has important applications in the field based on large-scale data. With the rapid development of quantum computing, how to construct this class of quantum coding has become one of the key ... ...

Abstract	An effective construction method for long-length quantum code has important applications in the field based on large-scale data. With the rapid development of quantum computing, how to construct this class of quantum coding has become one of the key research fields in quantum information theory. Motivated by the block jacket matrix and its circulant permutation, we proposed a construction method for quantum quasi-cyclic (QC) codes with two classical codes. This simplifies the coding process for long-length quantum error-correction code (QECC) using number decomposition. The obtained code length N can achieve <semantics> O ( n 2 ) </semantics> if an appropriate prime number n is taken. Furthermore, with a suitable parameter in the construction method, the obtained codes have four cycles in their generator matrices and show good performance for low density codes.
Keywords	long-length quantum codes ; stabilizer codes ; jacket matrix ; quasi-cyclic codes ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
Subject code	003
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Estimating the effect of international crude oil prices on RMB exchange rate with two-way fluctuation spillover

Yuan Li / Jin Chen

PLoS ONE, Vol 18, Iss

2023 Volume 10

Keywords	Medicine ; R ; Science ; Q
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Estimating the effect of international crude oil prices on RMB exchange rate with two-way fluctuation spillover.

Yuan Li / Jin Chen

PLoS ONE, Vol 18, Iss 10, p e

2023 Volume 0292615

Abstract: International crude oil prices has become one of the important factors that affect exchange rate fluctuation. By combining TVP-VAR model and DY time-varying spillover index, this paper measures the two-way fluctuation spillover effect between ... ...

Abstract	International crude oil prices has become one of the important factors that affect exchange rate fluctuation. By combining TVP-VAR model and DY time-varying spillover index, this paper measures the two-way fluctuation spillover effect between international crude oil prices and RMB exchange rate from 2011 to 2022. The research results show that: (1) There are obvious time-varying characteristics among international crude oil prices, onshore RMB exchange rate and offshore RMB exchange rate, and they are strengthened when major events occur at home and abroad; (2) The spillover and absorption level among international crude oil prices, onshore RMB exchange rate and offshore RMB exchange rate is relatively limited; (3) After the "exchange rate reform on August 11", the market participation of RMB exchange rate has increased year by year, and the offshore RMB is mainly net spillover, while the onshore RMB is mainly reflected as a recipient; (4) The offshore RMB exchange rate has a driving effect on the onshore RMB exchange rate. Based on this, it is necessary to orderly promote the development and utilization of new energy, actively promote the market-oriented reform of RMB exchange rate, play the leading role of offshore market, and accelerate the construction of crude oil-RMB settlement system.
Keywords	Medicine ; R ; Science ; Q
Subject code	332
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Boosted Binary Quantum Classifier via Graphical Kernel

Yuan Li / Duan Huang

Entropy, Vol 25, Iss 870, p

2023 Volume 870

Abstract: In terms of the logical structure of data in machine learning (ML), we apply a novel graphical encoding method in quantum computing to build the mapping between feature space of sample data and two-level nested graph state that presents a kind of multi- ... ...

Abstract	In terms of the logical structure of data in machine learning (ML), we apply a novel graphical encoding method in quantum computing to build the mapping between feature space of sample data and two-level nested graph state that presents a kind of multi-partite entanglement state. By implementing swap-test circuit on the graphical training states, a binary quantum classifier to large-scale test states is effectively realized in this paper. In addition, for the error classification caused by noise, we further explored the subsequent processing scheme by adjusting the weights so that a strong classifier is formed and its accuracy is greatly boosted. In this paper, the proposed boosting algorithm demonstrates superiority in certain aspects as demonstrated via experimental investigation. This work further enriches the theoretical foundation of quantum graph theory and quantum machine learning, which may be exploited to assist the classification of massive-data networks by entangling subgraphs.
Keywords	quantum computing ; quantum classifier ; nested graphical state ; quantum entangle ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
Subject code	006
Language	English
Publishing date	2023-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Federated clustered multi-domain learning for health monitoring

Shiyi Jiang / Yuan Li / Farshad Firouzi / Krishnendu Chakrabarty

Scientific Reports, Vol 14, Iss 1, Pp 1-

2024 Volume 12

Abstract: Abstract Wearable Internet of Things (WIoT) and Artificial Intelligence (AI) are rapidly emerging technologies for healthcare. These technologies enable seamless data collection and precise analysis toward fast, resource-abundant, and personalized ... ...

Abstract	Abstract Wearable Internet of Things (WIoT) and Artificial Intelligence (AI) are rapidly emerging technologies for healthcare. These technologies enable seamless data collection and precise analysis toward fast, resource-abundant, and personalized patient care. However, conventional machine learning workflow requires data to be transferred to the remote cloud server, which leads to significant privacy concerns. To tackle this problem, researchers have proposed federated learning, where end-point users collaboratively learn a shared model without sharing local data. However, data heterogeneity, i.e., variations in data distributions within a client (intra-client) or across clients (inter-client), degrades the performance of federated learning. Existing state-of-the-art methods mainly consider inter-client data heterogeneity, whereas intra-client variations have not received much attention. To address intra-client variations in federated learning, we propose a federated clustered multi-domain learning algorithm based on ClusterGAN, multi-domain learning, and graph neural networks. We applied the proposed algorithm to a case study on stress-level prediction, and our proposed algorithm outperforms two state-of-the-art methods by 4.4% in accuracy and 0.06 in the F1 score. In addition, we demonstrate the effectiveness of the proposed algorithm by investigating variants of its different modules.
Keywords	Medicine ; R ; Science ; Q
Subject code	006
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Rehmannioside A Inhibits TRAF6/MAPK Pathway and Improves Psoriasis by Interfering with the Interaction of HaCaT Cells with IL-17A.

Yuan, Li-Li / Cao, Chun-Yu

Clinical, cosmetic and investigational dermatology

2023 Volume 16, Page(s) 2585–2596

Abstract: Objective: As a common chronic inflammatory skin disease, psoriasis seriously affects the physical health and psychological well-being of patients. Various clinical treatments for psoriasis have their own drawbacks, so it is important to find effective ... ...

Abstract	Objective: As a common chronic inflammatory skin disease, psoriasis seriously affects the physical health and psychological well-being of patients. Various clinical treatments for psoriasis have their own drawbacks, so it is important to find effective and safe drugs. Rehmannioside A (ReA) has anti-inflammatory properties and is the main active ingredient in Fuzhengzhiyanghefuzhiyang decoction (FZHFZY), an herbal compound for the treatment of psoriasis. But no studies have been conducted to determine whether ReA alone can treat psoriasis. Therefore, this study was designed to investigate the effect of ReA in the treatment of psoriasis and its potential mechanism of action. Methods: HaCaT cells were treated with ReA and IL-17A alone for 24 h and 48 h, and the most effective concentrations of ReA and interleukin (IL)-17A were found at 25 μg/mL and 100 ng/mL, respectively. A psoriasis cell model was constructed by stimulating HaCaT cells with IL-17A, followed by intervention with ReA. Cell viability and cell cycle distribution were measured by MTT assay and flow cytometry. The expression levels of keratin family members and chemokines were detected by real-time quantitative PCR (RT-qPCR), the levels of pro-inflammatory cytokines by enzyme-linked immunosorbent assay (ELISA), and key proteins of TRAF6/MAPK signaling pathway by Western blot. Results: ReA weaken cell viability, down-regulate the expression of keratin family members (KRT6 and KRT17), restore cell cycle distribution to normal distribution, inhibit the release of pro-inflammatory cytokines (IL-6, IL-8 and IL-1β) and lower the expression of chemokines (S100A7, S100A9 and CXCL2) by interfering with the interaction between HaCaT cells and IL-17A. Thus, it exerts an anti-psoriatic effect by reducing the inflammatory response and inhibiting abnormal proliferation of HaCaT cells. Mechanistically, ReA inhibited the TRAF6/MAPK signaling pathway activated by IL-17A stimulation in HaCaT cells. Conclusion: ReA has in vitro anti-psoriatic effects and may be a new therapeutic agent for psoriasis.
Language	English
Publishing date	2023-09-21
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2494852-4
ISSN	1178-7015
ISSN	1178-7015
DOI	10.2147/CCID.S430621
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Breakout Session

Yuan Li

Journal of Copyright in Education and Librarianship, Vol 2, Iss

How Networking on Campus Can Increase Copyright Education. Presented by Rebel Cummings-Sauls, Director of Center for the Advancement of the Digital Scholarship (CADS), Kansas State University Library and Rachel Miles, Digital Scholarship Librarian, Kansas State University Library.

2018 Volume 1

Abstract: As online academic interactions continue to become more complex in the digital age, interaction with online copyrighted content inevitably increases. As a result, university faculty, researchers, students, and staff have a responsibility to understand ... ...

Abstract	As online academic interactions continue to become more complex in the digital age, interaction with online copyrighted content inevitably increases. As a result, university faculty, researchers, students, and staff have a responsibility to understand how to legally reuse content to avoid copyright infringement incidents. However, campus community members are often unaware of how copyright pertains to their online activities and the potential risks involved in their misuse. The session presented by librarians Rachel Miles and Rebel Cummings-Sauls discussed their networking and collaboration efforts on campus to extend copyright education to a wider community at Kansas State University, including outreach, education, and consultation from the Center for the Advancement of the Digital Scholarship (CADS). During the session, a hands-on practice was also provided for audiences to identify the common partners on campus and to create partner webs for their own institutions.
Keywords	Law ; K ; Law in general. Comparative and uniform law. Jurisprudence ; K1-7720 ; Bibliography. Library science. Information resources ; Z
Subject code	027
Language	English
Publishing date	2018-02-01T00:00:00Z
Publisher	University of Kansas Libraries
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Making Copyright a "Go Sign"

Yuan Li

Journal of Copyright in Education and Librarianship, Vol 2, Iss

Collaboration on Copyright Education, Advocacy and Creation at Princeton

2018 Volume 1

Abstract: Copyright issues impact daily life in academic in teaching, learning, and research. Copyright is most often seen as a stop sign due to the lack of knowledge of copyright. This negative view of copyright could hinder the learning potential and limit ... ...

Abstract	Copyright issues impact daily life in academic in teaching, learning, and research. Copyright is most often seen as a stop sign due to the lack of knowledge of copyright. This negative view of copyright could hinder the learning potential and limit possibilities in teaching and research. Lack of knowledge of copyright also could lead to misconduct, or even worse, a law-suit. In the past two years, we have made a series of efforts at Princeton to improve the campus’ knowledge about copyright and to change the view of copyright from negative to positive through collaboration among campus partners, primarily the general council and the library. This poster shows programs and initiatives on copyright education, advocacy and creation from collaboration at Princeton.
Keywords	Law ; K ; Law in general. Comparative and uniform law. Jurisprudence ; K1-7720 ; Bibliography. Library science. Information resources ; Z
Subject code	306 ; 340
Language	English
Publishing date	2018-02-01T00:00:00Z
Publisher	University of Kansas Libraries
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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