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Article ; Online: The Influence of Family Governance on the Value of Chinese Family Businesses

Yanan Li

Economies, Vol 10, Iss 63, p

Signal Transmission Effect of Financial Performance

2022 Volume 63

Abstract: The phenomenon of family governance in Chinese family businesses may not only signal a high second-party agency cost that infringes on the interests of small and medium shareholders, but it may also signal this as a stable governance structure. Based on ... ...

Abstract	The phenomenon of family governance in Chinese family businesses may not only signal a high second-party agency cost that infringes on the interests of small and medium shareholders, but it may also signal this as a stable governance structure. Based on the theory of signal transmission, this paper studies the degree of influence of Chinese family governance on the corporate value of Chinese family businesses and the signaling role played by corporate financial performance in this process. This paper also analyzes a sample of Chinese A-share listed family businesses from 2011 to 2020. The results show that the family governance of Chinese family enterprises can promote the improvement of enterprise value, because operating capacity, solvency, profitability, and development capacity can improve the credibility of family governance signals.
Keywords	family governance ; signal transmission theory ; integration of ownership and control ; firm value ; financial performance ; Economics as a science ; HB71-74
Language	English
Publishing date	2022-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Configuring the Pattern of Sustainable Tourism Development as Affected by the Construction of a High-Speed Railway System

Yanan Li / Sid Terason

SAGE Open, Vol

2023 Volume 13

Abstract: This study highlights the role of a high-speed railway system in driving the tourism industry, as the tourism market prepares to achieve sustainable development after the COVID-19 pandemic. Considering the example of southwestern China, this study ... ...

Abstract	This study highlights the role of a high-speed railway system in driving the tourism industry, as the tourism market prepares to achieve sustainable development after the COVID-19 pandemic. Considering the example of southwestern China, this study summarizes the configuration patterns of sustainable tourism development based on the fuzzy-set qualitative comparative analysis method, and subsequently uses the gravity model to express its core factor based on the ArcGIS platform. The study found that the tourism development pattern in this area was not homogenous, but rather a combination of six equivalent patterns (namely configured pattern). Tourism Economic Connection was the core variable to promote tourism development. Therefore, based on the configurational theory, each city should determine its own pattern and accordingly develop strengths as well as complement weaknesses. Furthermore, determined by the complexity theory, cities should capitalize on the strength of the high-speed railway system and learn from the accomplishments realized in other cities.
Keywords	History of scholarship and learning. The humanities ; AZ20-999 ; Social Sciences ; H
Subject code	910
Language	English
Publishing date	2023-07-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A two sample Mendelian randomization to explore the causal relationships between endometriosis and female infertility.

Yifu, Pu / Yanan, Li

Endocrine

2023 Volume 81, Issue 3, Page(s) 637–638

MeSH term(s)	Humans ; Female ; Endometriosis/complications ; Endometriosis/genetics ; Infertility, Female/genetics ; Mendelian Randomization Analysis ; Causality ; Genetic Predisposition to Disease ; Genome-Wide Association Study ; Polymorphism, Single Nucleotide
Language	English
Publishing date	2023-06-14
Publishing country	United States
Document type	Letter
ZDB-ID	1194484-5
ISSN	1559-0100 ; 1355-008X ; 0969-711X
ISSN (online)	1559-0100
ISSN	1355-008X ; 0969-711X
DOI	10.1007/s12020-023-03417-4
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Article: How has rural tourism influenced the sustainable development of traditional villages? A systematic literature review.

Yanan, Li / Ismail, Muhammad Azzam / Aminuddin, Asrul

Heliyon

2024 Volume 10, Issue 4, Page(s) e25627

Abstract: Rural tourism has been widely recognized as a means of promoting the revival of traditional villages and has been supported by numerous researchers. It has the potential to provide significant social and economic advantages, making it a popular strategy ... ...

Abstract	Rural tourism has been widely recognized as a means of promoting the revival of traditional villages and has been supported by numerous researchers. It has the potential to provide significant social and economic advantages, making it a popular strategy for rural development in both developed and developing countries. Nevertheless, a growing body of research has substantiated the significant disruptions that rural tourism has imposed on traditional villages. This study employed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) qualitative method to systematically analyze 92 papers from WOS and SCOPUS that investigate the impact of rural tourism on traditional villages. The papers were categorized into five groups: spatial, economic, sociocultural, and holistic. This categorization allowed for the identification of the purpose, theme, sub-topics, research methods, and data sources used in these papers, which in turn provided an overview of the characteristics and overall trends in research in this field. It compensates for the deficiencies of lesser reviews that just emphasize rural tourism as the primary catalyst for the sustainable development of traditional villages. Based on a thorough investigation, this paper asserts that the development of tourism in traditional villages should be differentiated from typical rural tourism sites that prioritize the preferences of tourists. The primary objective should be to prioritize the preservation of community values, with a strong emphasis on community participation. This should be done while considering the interests of various stakeholders and promoting a diverse range of livelihoods that are rooted in traditional practices. By doing so, the essence of authenticity in traditional villages can be reinforced, leading to a greater sense of connection and loyalty among tourists. The preservation of traditional village genes fosters a symbiotic relationship with rural tourism, resulting in a mutually beneficial cycle.
Language	English
Publishing date	2024-02-05
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e25627
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Effect of Nursing in Operating Room Combined with Intraoperative Heat Preservation Intervention on Prevention of Incision Infection and Improvement of Hemodynamics in Patients with Anterior Cruciate Ligament Injury and Reconstruction under Knee Arthroscopy

Jiao Dai / Yanan Li

Computational and Mathematical Methods in Medicine, Vol

2022 Volume 2022

Abstract: Objective. To explore the effect of nursing in operating room combined with intraoperative heat preservation intervention on preventing incision infection and improving hemodynamics in patients with anterior cruciate ligament (ACL) injury and ... ...

Abstract	Objective. To explore the effect of nursing in operating room combined with intraoperative heat preservation intervention on preventing incision infection and improving hemodynamics in patients with anterior cruciate ligament (ACL) injury and reconstruction under knee arthroscopy. Methods. About 200 patients with knee arthroscopic ACL reconstruction in our hospital from January 2019 to July 2021 were enrolled. The patients were randomly assigned into two groups: the control group and the study group. The former group received nursing care in the operating room operating room and the latter group received nursing care in operating room combined with intraoperative heat preservation intervention. Nursing satisfaction, incidence of incision infection, knee joint VAS score, knee joint range of motion, knee joint Lysholm score, and hemodynamic indexes were compared. Results. First of all, we compared the nursing satisfaction, the study group was very satisfied in 78 cases, satisfactory in 20 cases, and general in 2 cases, and the satisfaction rate was 100.00%, while in the control group, 445 cases were very satisfied, 20 cases were satisfied, 15 cases were general, and 8 cases were dissatisfied. The satisfaction rate was 82.00%. The nursing satisfaction of the study group was higher compared to the control group (P<0.05). Secondly, we compared the incidence of incision infection. The incidence of incision infection in the study group was lower compared to the control group (P<0.05). With regard to the knee joint VAS score, the knee joint VAS score of the study group was lower compared to the control group at 2 weeks, 4 weeks, 8 weeks, and 12 weeks after operation (P<0.05). In terms of the range of motion of the knee joint, the range of motion of the knee joint in the study group was higher compared to the control group at 2 weeks, 4 weeks, 8 weeks, and 12 weeks after operation (P<0.05). Regarding the knee joint Lysholm score, the knee joint Lysholm score of the study group was higher compared to the ...
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7
Subject code	796
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Association between gestational weight gain and adverse neonatal outcomes in women conceiving with assisted reproductive technology

Feifei Jiang / Yanan Li / Lipeng Sun

PLoS ONE, Vol 18, Iss 10, p e

Evidence from the NVSS 2019-2021.

2023 Volume 0292665

Abstract: Objective To evaluate the association between gestational weight gain (GWG) and adverse neonatal outcomes in women who conceived using assisted reproductive technology (ART). Methods The National Vital Statistics System (NVSS) 2019-2021 provided data for ...

Abstract	Objective To evaluate the association between gestational weight gain (GWG) and adverse neonatal outcomes in women who conceived using assisted reproductive technology (ART). Methods The National Vital Statistics System (NVSS) 2019-2021 provided data for this retrospective cohort study. Adverse neonatal outcomes included premature birth, small for gestational age (SGA), large for gestational age (LGA), macrosomia, low birth weight (LBW), and other abnormal conditions. Any adverse outcome was defined as at least one of the above six outcomes. Multivariate logistic regression analysis was employed to evaluate the associations between GWG and different outcomes, after adjusting for confounding factors. These associations were further assessed in subgroups of maternal age at delivery, paternal age at delivery, preconception body mass index (BMI), gestational age, maternal race, parity, gestational diabetes, and gestational hypertension. Results Totally 108201 women were included, with 22282 in the insufficient GWG group, 38034 in the sufficient GWG group, and 47885 in the excessive GWG group. Women with insufficient GWG [odds ratios (OR) = 1.11, 95%CI: 1.07-1.16, P<0.001] and excessive GWG (OR = 1.14, 95%CI: 1.10-1.18, P<0.001) had significantly greater risks of any adverse outcome than those with sufficient GWG. In contrast to sufficient GWG, insufficient GWG was associated with significantly elevated risks of premature birth (OR = 1.42, 95%CI: 1.35-1.48, P<0.001), SGA (OR = 1.45, 95%CI: 1.37-1.53, P<0.001), LBW (OR = 1.47, 95%CI: 1.37-1.58, P<0.001), and other abnormal conditions (OR = 1.32, 95%CI: 1.27-1.39, P<0.001), and excessive GWG was associated with significantly lower risks of premature birth (OR = 0.86, 95%CI: 0.83-0.90, P<0.001), SGA (OR = 0.79, 95%CI: 0.75-0.83, P<0.001), LBW (OR = 0.85, 95%CI: 0.79-0.91, P<0.001), and other abnormal conditions (OR = 0.92, 95%CI: 0.88-0.96, P<0.001). Infants born to women with insufficient GWG had significantly decreased risks of LGA (OR = ...
Keywords	Medicine ; R ; Science ; Q
Subject code	610
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: Association between gestational weight gain and adverse neonatal outcomes in women conceiving with assisted reproductive technology

Feifei Jiang / Yanan Li / Lipeng Sun

PLoS ONE, Vol 18, Iss

Evidence from the NVSS 2019–2021

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: The Halo Effect of Government

Chen Hu / Yanan Li / Penghao Ye

Sustainability, Vol 15, Iss 8587, p

Does State-Owned Capital Promote the Green Innovation of Chinese Private Enterprises?

2023 Volume 8587

Abstract: To achieve carbon neutrality, China is working toward a green transition where a key focus is to promote green innovation among privately-owned enterprises (POEs). Reverse mixed ownership reform, represented by the participation of state-owned capital, ... ...

Abstract	To achieve carbon neutrality, China is working toward a green transition where a key focus is to promote green innovation among privately-owned enterprises (POEs). Reverse mixed ownership reform, represented by the participation of state-owned capital, is a major direction in the current reform of Chinese state-owned enterprises (SOEs). Nevertheless, few studies have thoroughly investigated the impact of state-owned capital participation on green innovation in POEs. Thus, this research aims to analyze how state-owned capital influences POEs’ green innovations. Using an unbalanced panel dataset of 12,206 firm-year observations of Chinese listed companies from 2011 to 2019, we employ the fixed-effect ordinary least square (FE-OLS) as an effective estimation method to control unobserved individual heterogeneity and potential endogeneity. The results show that state-owned capital can significantly promote POEs’ green innovation. Mechanistic analyses suggest that state capital eases financial constraints and attracts more creative talent to work for the private sector, thus promoting green innovation. In addition, our baseline findings are more salient for enterprises with political connections, those operating in heavily polluting industries, and those located in areas with more stringent intellectual property rights (IPR) legislation. Finally, these findings are confirmed significant, even with endogeneity concerns and robustness checks being considered. The contribution of this research outlines the key role of state-owned capital in alleviating financial constraints and attracting talent to promote POEs’ green innovation.
Keywords	state-owned capital ; green innovation ; mixed ownership reform ; financial constraints ; talent ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	338
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: cMWCNT/CoHCF/AuNPs nanocomposites aptasensor for electrochemical detection of interleukin-6

Yanan Li / Xin Hua / Jiajia Wang / Baokang Jin

Talanta Open, Vol 7, Iss , Pp 100188- (2023)

2023

Abstract: In this paper, a novel electrochemical sensing platform for the sensitive detection of interleukin 6 (IL-6) was designed and fabricated. A label-free aptasensor was fabricated by modifying the glassy carbon electrode (GCE) using a nanocomposite composed ... ...

Abstract	In this paper, a novel electrochemical sensing platform for the sensitive detection of interleukin 6 (IL-6) was designed and fabricated. A label-free aptasensor was fabricated by modifying the glassy carbon electrode (GCE) using a nanocomposite composed of carboxylated multi-walled carbon nanotubes (cMWCNTs), cobalt hexacyanoferrate (CoHCF) and gold nanoparticles (AuNPs). The nanocomposite improved electron transfer rate and increased intercalation of signaling molecules. Moreover, it also offers desirable capabilities for the immobilization of biomolecules. The cMWCNTs/CoHCF/AuNPs modified electrode showed good electrochemical characteristics and biocompatibility, thus achieving excellent sensor performance. The differential pulse voltammetry (DPV) was used to detect the peak current of CoHCF in the redox process. The peak current is proportional to the concentration of IL-6 on the electrode surface. Under optimal conditions, the proposed aptamer sensor exhibits a linear range from 0.5 pg/mL to 1000 pg/mL and has a low detection limit of 0.17 pg/mL. In addition, the IL-6 aptamer sensor has good selectivity, high stability, and satisfactory reproducibility, showing broad potential in clinical research and diagnostic applications.
Keywords	Unlabeled aptamer sensor ; Cobalt hexacyanoferrate ; Gold nanoparticles ; Multi-walled carbon nanotubes ; Electrochemical detection ; Interleukin-6 (IL-6) ; Analytical chemistry ; QD71-142
Subject code	620
Language	English
Publishing date	2023-08-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A New Combination Model for Air Pollutant Concentration Prediction

Fan Yang / Guangqiu Huang / Yanan Li

Sustainability, Vol 15, Iss 9713, p

A Case Study of Xi’an, China

2023 Volume 9713

Abstract: As energy demand continues to increase, the environmental pollution problem is becoming more severe. Governments and researchers have made great efforts to avoid and reduce air pollution. The prediction of PM 2.5 , as an important index affecting air ... ...

Abstract	As energy demand continues to increase, the environmental pollution problem is becoming more severe. Governments and researchers have made great efforts to avoid and reduce air pollution. The prediction of PM 2.5 , as an important index affecting air quality, has great significance. However, PM 2.5 concentration has a complex change process that makes its prediction challenging. By calculating both PM 2.5 concentration and that of other pollutants in the atmosphere and meteorological factors, it is evident that the variation in PM 2.5 concentration is influenced by multiple factors, and that relevant features also influence each other. To reduce the calculated loss, with full consideration given to the influencing factors, we used the maximum correlation and minimum redundancy (MRMR) algorithm to calculate the correlation and redundancy between features. In addition, it is known from the Brock–Dechert–Scheinman (BDS) statistical results that the change in PM 2.5 is nonlinear. Due to the outstanding performance of bidirectional long short-term memory (BiLSTM) neural networks in nonlinear prediction, we constructed an encoder–decoder model based on BiLSTM, named ED-BiLSTM, to predict the PM 2.5 concentration at monitoring stations. For areas without monitoring sites, due to the lack of historical data, the application of neural networks is limited. To obtain the pollutant concentration distribution in the study area, we divided the study area into a 1 km × 1 km grid and combined the ED-BiLSTM model via the use of the inverse distance weighting (IDW) algorithm to obtain the PM 2.5 concentration values in a region without monitoring stations. Finally, ArcGIS was used to visualize the results. The data for the case study were obtained from Xi’an. The results show that, compared with the standard long short-term memory (LSTM) model, the RMSE, MAE, and MAPE of our proposed model were reduced by 24.06%, 24.93%, and 22.9%, respectively. The proposed model has a low error for PM 2.5 prediction and can provide a ...
Keywords	air pollution ; PM 2.5 prediction ; correlation analysis ; feature selection ; bidirectional long short-term memory ; encoder–decoder ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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