Displaying publications 301 - 320 of 2311 in total

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  1. Does China Overseas Economic and Trade cooperation Zone affect CO2 emissions in host countries? Evidence from a quasi-natural experimental of countries along the "Belt and Road"
    Jiang Y, Chen Y
    Environ Sci Pollut Res Int, 2023 Sep;30(41):94276-94289.
    PMID: 37531059 DOI: 10.1007/s11356-023-29081-9
    China Overseas Economic and Trade Cooperation Zone (COCZs) which as a platform for China's foreign investment and trade has a potential impact on CO2 emissions, while strengthening bilateral investment and trade between China and the host countries. Since most of the COCZs are located in countries along the "Belt and Road," the purpose of this paper is to investigate the impact of COCZs on CO2 emissions of the countries along the "Belt and Road" and the mechanism of this impact. We constructed a panel data of 63 countries along the "Belt and Road" from 2000 to 2020, and conducted an empirical study using the difference-in-difference (DID) model. Our research result show that COCZs can significantly increase the CO2 emissions of the countries along the "Belt and Road." Then, we conduct a series of robustness tests and endogeneity test on the estimation results of the baseline model, and the results of the tests all support the conclusion reached by the baseline model. Our heterogeneity analysis reveals that the effect of COCZs on CO2 emissions is more significant in Asian countries with lower national income or industrialization and higher country risk. Finally, we analyzed industrial value added and energy depletion as possible impact mechanisms, the results of mechanism model shows that COCZs can increase the industrial value added and then significantly increase CO2 emissions, but energy depletion was not an efficient mechanism. Our paper provides a new insight into the impact of bilateral economic and trade cooperation zones on CO2 emissions in host countries.
    Matched MeSH terms: China
  2. Discrimination of Dioscorea species (Chinese yam) using FT-IR integrated with chemometric approach
    Jingying C, Baocai L, Ying C, Wujun Z, Yunqing Z, Yingzhen H, et al.
    Spectrochim Acta A Mol Biomol Spectrosc, 2023 Dec 15;303:123229.
    PMID: 37625275 DOI: 10.1016/j.saa.2023.123229
    Dioscorea oppositifolia is an important crop and functional food. D. oppositifolia tuber is often adulterated with D. persimilis, D. alata, and D. fordii tuber in the commercial market. This study proposed an integrated Fourier transform infrared spectroscopy (FT-IR) with chemometric approach to differentiate these four Dioscorea species. A total of 107 Dioscorea spp. tuber samples were collected from different locations in China. Principal Component Analysis (PCA), PCA-Class, and Orthogonal Partial Least Square Discriminant Analysis (OPLS-DA) were utilised to classify the FT-IR spectra. In this PCA is unable to differentiate the Dioscorea spp. tuber effectively. However, PCA-Class and OPLS-DA can distinguish spp. these 4 species Dioscorea tuber with high accuracy, sensitivity, and specificity. Additionally, the RMSEE, RMSEP and RMSECV values for OPLS-DA model were low, showing that it is a good model. The combination of FT-IR with the PCA-Class and OPLS-DA is practical in discriminating Dioscorea spp. tubers.
    Matched MeSH terms: China
  3. Fulltext Spatial distribution of COVID-19 cases, epidemic spread rate, spatial pattern, and its correlation with meteorological factors during the first to the second waves
    Rendana M, Idris WMR, Abdul Rahim S
    J Infect Public Health, 2021 Oct;14(10):1340-1348.
    PMID: 34301503 DOI: 10.1016/j.jiph.2021.07.010
    Currently, many countries all over the world are facing the second wave of COVID-19. Therefore, this study aims to analyze the spatial distribution of COVID-19 cases, epidemic spread rate, spatial pattern during the first to the second waves in the South Sumatra Province of Indonesia. This study used the geographical information system (GIS) software to map the spatial distribution of COVID-19 cases and epidemic spread rate. The spatial autocorrelation of the COVID-19 cases was carried out using Moran's I, while the Pearson correlation was used to examining the relationship between meteorological factors and the epidemic spread rate. Most infected areas and the direction of virus spread were predicted using wind rose analysis. The results revealed that the epidemic rapidly spread from August 1 to December 1, 2020. The highest epidemic spread rate was observed in the Palembang district and in its peripheral areas (dense urban areas), while the lowest spread rate was found in the eastern and southern parts of South Sumatra Province (remote areas). The spatial correlation characteristic of the epidemic distribution exhibited a negative correlation and random distribution. Air temperature, wind speed, and precipitation have contributed to a significant impact on the high epidemic spread rate in the second wave. In summary, this study offers new insight for arranging control and prevention strategies against the potential of second wave strike.
    Matched MeSH terms: China
  4. Ancient DNA reveals genetic admixture in China during tiger evolution
    Sun X, Liu YC, Tiunov MP, Gimranov DO, Zhuang Y, Han Y, et al.
    Nat Ecol Evol, 2023 Nov;7(11):1914-1929.
    PMID: 37652999 DOI: 10.1038/s41559-023-02185-8
    The tiger (Panthera tigris) is a charismatic megafauna species that originated and diversified in Asia and probably experienced population contraction and expansion during the Pleistocene, resulting in low genetic diversity of modern tigers. However, little is known about patterns of genomic diversity in ancient populations. Here we generated whole-genome sequences from ancient or historical (100-10,000 yr old) specimens collected across mainland Asia, including a 10,600-yr-old Russian Far East specimen (RUSA21, 8× coverage) plus six ancient mitogenomes, 14 South China tigers (0.1-12×) and three Caspian tigers (4-8×). Admixture analysis showed that RUSA21 clustered within modern Northeast Asian phylogroups and partially derived from an extinct Late Pleistocene lineage. While some of the 8,000-10,000-yr-old Russian Far East mitogenomes are basal to all tigers, one 2,000-yr-old specimen resembles present Amur tigers. Phylogenomic analyses suggested that the Caspian tiger probably dispersed from an ancestral Northeast Asian population and experienced gene flow from southern Bengal tigers. Lastly, genome-wide monophyly supported the South China tiger as a distinct subspecies, albeit with mitochondrial paraphyly, hence resolving its longstanding taxonomic controversy. The distribution of mitochondrial haplogroups corroborated by biogeographical modelling suggested that Southwest China was a Late Pleistocene refugium for a relic basal lineage. As suitable habitat returned, admixture between divergent lineages of South China tigers took place in Eastern China, promoting the evolution of other northern subspecies. Altogether, our analysis of ancient genomes sheds light on the evolutionary history of tigers and supports the existence of nine modern subspecies.
    Matched MeSH terms: China
  5. Fulltext The solar end game: bibliometric analysis, research and development evolution, and patent activity of hybrid photovoltaic/thermal-phase change material
    Abdul Jabar MH, Srivastava R, Abdul Manaf N, Thangalazhy-Gopakumar S, Ab Latif FE, Luu MT, et al.
    Environ Sci Pollut Res Int, 2023 Nov;30(55):116934-116951.
    PMID: 37221293 DOI: 10.1007/s11356-023-27641-7
    Solar photovoltaic-thermal hybrid with phase change material (PVT-PCM) emerges as an intelligent game changer to stimulate the clean, reliable, and affordable renewable energy technology. This PVT-PCM technology can be manipulated into generating both electricity and thermal energy that feature its practicality for residential and industrial applications. Hybridized of PCM into PVT design adds value to existing architecture with its capability to store excess heat that can be used during insufficient solar irradiation. Present work gives overview of the PVT-PCM system on technology innovation toward commercialization (viz, solar end game) subjected to bibliometric analysis, research and development evolution, and patent activity. A consolidation of these review articles was decluttered to focus on the performance and efficiency of PVT-PCM technology based on the fact that commercialization is ready once the technology is completed and qualified (at technology readiness level, TRL: 8). Economic review was conducted to understand the feasibility of the existing solar technologies and how it affects the PVT-PCM market price. Based on the contemporary findings, promising performance of PVT-PCM technology has underpinned its feasibility and technology readiness. China has predominant local and international framework and expected to be the PVT-PCM technology trendsetter in the next years through its strong international collaborative projects and pioneer in PVT-PCM patent filing. This present work underscores the solar end-game strategy and recommendation to create a path forward to achieve clean energy transition. Though, as to the date of submission of this article, no industry  has found to manufacture/sell this hybrid technology in the market.
    Matched MeSH terms: China
  6. Fulltext Common institutional investors and the quality of management earnings forecasts-Empirical and machine learning evidences
    Yang S, Li X, Jiang Z, Xiao M
    PLoS One, 2023;18(10):e0290126.
    PMID: 37844110 DOI: 10.1371/journal.pone.0290126
    Based on the data of the Chinese A-share listed firms in China Shanghai and Shenzhen Stock Exchange from 2014 to 2021, this article explores the relationship between common institutional investors and the quality of management earnings forecasts. The study used the multiple linear regression model and empirically found that common institutional investors positively impact the precision of earnings forecasts. This article also uses graph neural networks to predict the precision of earnings forecasts. Our findings have shown that common institutional investors form external supervision over restricting management to release a wide width of earnings forecasts, which helps to improve the risk warning function of earnings forecasts and promote the sustainable development of information disclosure from management in the Chinese capital market. One of the marginal contributions of this paper is that it enriches the literature related to the economic consequences of common institutional shareholding. Then, the neural network method used to predict the quality of management forecasts enhances the research method of institutional investors and the behavior of management earnings forecasts. Thirdly, this paper calls for strengthening information sharing and circulation among institutional investors to reduce information asymmetry between investors and management.
    Matched MeSH terms: China
  7. Green finance and environmental sustainability: a systematic review and future research avenues
    Khan HHA, Ahmad N, Yusof NM, Chowdhury MAM
    Environ Sci Pollut Res Int, 2024 Feb;31(6):9784-9794.
    PMID: 38194178 DOI: 10.1007/s11356-023-31809-6
    This study critically examines the dynamic interplay between green finance and environmental sustainability using a systematic review and bibliometric analysis. The analysis is centered on 507 scholarly articles published between 2013 and 2023 in the Scopus database and leverages Microsoft Excel, Harzing Publish or Perish, and VOSviewer to identify publication trends, key contributors, research impact, and emergent themes in this rapidly evolving field. The findings reveal that research on green finance and environmental sustainability has increased exponentially over the past decade, with China and institutions in Asia emerging as prominent contributors compared to other regions. This study also identified the Environmental Science and Pollution Research journal as the most active source title, demonstrating its commitment to publishing current findings on the topic. Through keyword analysis, several research avenues have been proposed to guide future research on enhancing the strategic role of green finance in promoting environmental sustainability. These avenues include broadening the geographical scope of research, exploring the synergies between green finance and emerging fintech innovations, developing robust metrics to quantify the socioeconomic impacts of green finance, establishing a risk and resilience framework to protect green finance against uncertainties, and creating a Green Finance Performance Index to evaluate the dual returns of environmental and financial performance.
    Matched MeSH terms: China
  8. Factors affecting medical students' intention to use Rain Classroom: a cross-sectional survey
    Lv H, Low J, Tan SK, Tang L, Li X
    BMC Med Educ, 2024 Jan 24;24(1):86.
    PMID: 38267919 DOI: 10.1186/s12909-024-05037-6
    BACKGROUND: Rain Classroom was one of the most popular online learning platforms in Chinese higher education during the pandemic. However, there is little research on user intention under the guidance of technology acceptance and unified theory (UTAUT).

    OBJECTIVE: This research aims to determine factors influencing students' behavioural intention to use Rain Classroom.

    METHODS: In this cross-sectional and correlational investigation, 1138 medical students from five medical universities in Guangxi Province, China, made up the sample. This study added self-efficacy (SE), motivation (MO), stress (ST), and anxiety (AN) to the UTAUT framework. This study modified the framework by excluding actual usage variables and focusing only on intention determinants. SPSS-26 and AMOS-26 were used to analyze the data. The structural equation modelling technique was chosen to confirm the hypotheses.

    RESULTS: Except for facilitating conditions (FC), all proposed factors, including performance expectancy (PE), effort expectancy (EE), social influence (SI), self-efficacy (SE), motivation (MO), anxiety (AN), and stress (ST), had a significant effect on students' behavioural intentions to use Rain Classroom.

    CONCLUSIONS: The research revealed that the proposed model, which was based on the UTAUT, is excellent at identifying the variables that influence students' behavioural intentions in the Rain Classroom. Higher education institutions can plan and implement productive classrooms.

    Matched MeSH terms: China
  9. Fulltext A critical review of the current research mainstreams and the influencing factors of green total factor productivity
    Zhang J, Lu G, Skitmore M, Ballesteros-Pérez P
    Environ Sci Pollut Res Int, 2021 Jul;28(27):35392-35405.
    PMID: 34018106 DOI: 10.1007/s11356-021-14467-4
    The current world economy needs to undergo a green transformation. Green total factor productivity provides the basis for judging whether a country or region can attain long-term sustainable development. However, there is little research into the factors that influence green total factor productivity and this has become an obstacle in the transition to a greener economy. On filtering relevant articles and interviews data collected from 2009 to 2019, open decoding, spindle decoding, and selective decoding are carried out to classify research conducted into green total factor productivity. From this analysis, cutting-edge research and knowledge gaps in green total factor productivity are identified. Also, an influencing factor model of green total factor productivity is built. Findings suggest that technical, economic, and government are the three main research streams involved in this transformation process. In particular, technology plays a decisive role, economy plays a guaranteeing role, and government plays a regulatory role. Moreover, the impact of these factors cannot be isolated, as each influence and mediate the other two. Results from this study will help further popularize green total factor productivity and provide a new starting point for reducing energy consumption and environmental pollution.
    Matched MeSH terms: China
  10. Fulltext The nexus between circular economy innovation, market competitiveness, and triple bottom lines efficiencies among SMEs: evidence from emerging economies
    Rehman FU, Gyamfi S, Rasool SF, Akbar F, Hussain K, Prokop V
    Environ Sci Pollut Res Int, 2023 Dec;30(58):122274-122292.
    PMID: 37964150 DOI: 10.1007/s11356-023-30956-0
    Recently, the trend of circular economy innovation (CEI) drive SMEs to initiate more sustainable practices to attain market competitiveness but rare attention has been paid in emerging economies. Hence, this study plans to explore the impacts of CEI on the triple bottom lines (TBL) efficiencies in the light of market competitiveness among the production SMEs in emerging economies. The study complied data by using a survey-based technique in Pakistan, Malaysia, and China. With a sample of 306 for each segment, data were evaluated with PLS-SEM to clarify results. The findings reveal that CEI has positive significant effects on the market competitiveness and TBL efficiencies among the production SMEs in emerging economies. The findings also clarify that market competitiveness mediates the relationship between CEI and the TBL efficiencies. The findings elaborate the theoretical foundations for environmental-based production SMEs to formulate more sustainable strategies in the light of CEI to gain market competitiveness. It also clarifies the understandings of policy makers and environmental regulators by providing a novel precursor to frame the environment-based TBL guidelines for SMEs. It adds to the UN sustainability agenda by elevating the role of CEI as a novel domain among emerging economies grounded on the resource-based view theory.
    Matched MeSH terms: China
  11. Fulltext Drivers of green purchasing behaviour: a systematic review and a research agenda
    Yusoff N, Alias M, Ismail N
    F1000Res, 2023;12:1286.
    PMID: 38196406 DOI: 10.12688/f1000research.140765.1
    Background: Green purchasing is an important aspect of sustainable consumption, which decreases society's environmental effect. Although numerous research has been conducted to investigate the determinants of green buying behaviour, there has been a lack of effort in comprehensively analysing these findings. The purpose of this study is to examine the available literature on the factors that influence green purchasing behaviour. Methods: The review focused on empirical research published in peer-reviewed English-language publications between 2017 and 2021 in Web of Science and Scopus. The research took place from May to June 2021. Mixed Methods Appraisal Tool (MMAT) is used to assess the risk of bias in systematic literature reviews. Results: 41 articles were included, with significant focus on the retailing sector. Most of these studies were centred in Asian countries, primarily China and India. The Theory of Planned Behaviour was the most prominent, appearing 15 times, followed by the Theory of Reasoned Action (seven times). Analysis identified five main themes and 15 sub-themes related to green purchase behaviour drivers. These themes were categorized by occurrence: People (34 papers), marketing (13), knowledge (12), environment (12), and influence (nine). The dominant driver was people (34 studies), encompassing sub-themes including motivation (three), perception (eight), behavioural (13), and psychographic characteristics (10). Conclusions: This study has given an overview of the present status of green purchasing behaviour, which serves as a foundation for future studies and guidance for policymakers and practitioners. However, it does not include unpublished materials and non-English papers. Secondly, it focuses on articles from two databases within the last five years which doesn't encompass all article types, prompting the need for future exploration. Thirdly, extending the review's time frame could unveil more pronounced GPB patterns. Lastly, although all eligible papers were assessed based on criteria, the chance of overlooking some papers is acknowledged.
    Matched MeSH terms: China
  12. Fulltext Determinants of exports performance: Evidence from Indonesian low-, medium-, and high-technology manufacturing industries
    Handoyo RD, Ibrahim KH, Rahmawati Y, Faadhillah F, Ogawa K, Kusumawardani D, et al.
    PLoS One, 2024;19(1):e0296431.
    PMID: 38165859 DOI: 10.1371/journal.pone.0296431
    This study explores the determinants of the export performance of Indonesia's low-, medium-, and high-technology manufacturing industries by focusing on the role of raw-material imports and technical efficiency. Micro firm-level data from 2010-2015 were utilized for the analysis in this study. The stochastic frontier analysis was employed to measure technical inefficiency and to determine its effect on export performance. Our findings indicate that in all categories of industry technical efficiency, raw materials imports, foreign direct investment (FDI), location, firm size, labour productivity, and concentration of industries were significant determinants of export performance. While high efficiency increases exports in low- and medium-technology firms, exports decrease in firms with high efficiency accompanied by high imports, FDI, size, and labour productivity. Furthermore, in high-technology industries, efficiency reduces exports and again increases them when mediated by a concentration of industries and location. The empirical strategy also supports the positive effect of imports on export performance in both industries, which also aligns with decreased exports in firms with high imports accompanied by high FDI, efficiency, labour productivity, the concentration of industries, and size. To this end, the study has implications for low-, medium-, and high-technology manufacturing that are mainly concerned with increasing exports.
    Matched MeSH terms: China
  13. Nexus of the CSR disclosures and corporate financial performance: evidence from Asian countries climate policy uncertainty
    Waris M, Din BH
    Environ Sci Pollut Res Int, 2024 Jan;31(2):1995-2008.
    PMID: 38049691 DOI: 10.1007/s11356-023-31307-9
    Financial performance is a critical aspect of a company's overall health and sustainability. It directly influences investor decisions, stock market performance, credit ratings, and the company's ability to access capital. Corporate financial performance is influenced by multitude of facts, both internal and external such as disclosure of the information, and social and environmental factors. On the ground of the facts, we aimed to investigate non-financial firms that belong to Asian economies affected by climate policy uncertainty and corporate social responsibility disclosures in terms of their financial performance. To conduct quantitative study analysis, we used the two effective statistical tools such as two-stage regression method and generalized method of movement (GMM). Our results show that corporate high value of social responsibility disclosure and climate policy uncertainty has significant negative impact on return on asset (ROA) of the listed organizations of China, Pakistan, and India. Moreover, CSR disclosure attributes higher values such as social (SC) and governance score (GOV), and climate policy uncertainty (CPU) has significant negative relationship with return on equity (ROE) and earning per share (EPS) respectively, while a higher value of ESG total score and the environmental (ENV) score has a significant positive impact on ROE and EPS. Additionally, the research concludes that climate policy uncertainty is a key factor that motivates CSR disclosure practices, which ultimately improves corporate financial performance. Moreover, we concluded from our finding that the climate policy uncertainty creates ambiguity surrounding government regulations, international agreements, or market mechanisms that affect financial performance. Moreover, environmental disclosure information that has the large part in total ESG scores attract the investors around the globe which leads to rise in the financial performance, while the other attributes of the CSR disclosure decrease performance. This study advocated the great implications for researchers, investors, the government, and regulatory authorities. Policy makers can make the policy about the CSR disclosure for creating the good image of the organization to attract investors around the globe.
    Matched MeSH terms: China
  14. Can green finance and environmental regulations promote carbon emission reduction? Evidence from China
    Yin J, Ibrahim S, Mohd NNA, Zhong C, Mao X
    Environ Sci Pollut Res Int, 2024 Jan;31(2):2836-2850.
    PMID: 38063969 DOI: 10.1007/s11356-023-31231-y
    Carbon reduction has become a major challenge for China's economy in its transition toward sustainability. The government has been monitoring the behavior of enterprises through regulations to protect the environment, while green finance has rapidly developed in recent years as a new tool to reduce carbon emissions. Despite these measures, few studies have explored the interaction between these two drivers of carbon reduction. Therefore, this study aimed to examine the impact of green finance and environmental regulations on carbon emissions. To determine whether their coordination can lead to greater carbon reduction, the spatial spillover effect of this impact was also investigated. The results show that green finance can reduce carbon emissions and that the interaction of green finance with environmental regulations plays a significant positive role in reducing carbon emissions. Finally, this study concludes that the carbon reduction effects of green finance and environmental regulations have positive spillover effects on adjacent areas.
    Matched MeSH terms: China
  15. Airborne microplastic/nanoplastic research: a comprehensive Web of Science (WoS) data-driven bibliometric analysis
    Tan H, Mong GR, Wong SL, Wong KY, Sheng DDCV, Nyakuma BB, et al.
    Environ Sci Pollut Res Int, 2024 Jan;31(1):109-126.
    PMID: 38040882 DOI: 10.1007/s11356-023-31228-7
    This paper presents the landscape of research on airborne microplastics and nanoplastics (MPs/NPs) according to the bibliometric analysis of 147 documents issued between 2015 and 2021, extracted from the Web of Science database. The publications on airborne MPs/NPs have increased rapidly from 2015 onwards, which is largely due to the existence of funding support. Science of the Total Environment is one of the prominent journals in publishing related papers. China, England, the USA, and European Countries have produced a significant output of airborne MP/NP research works, which is associated with the availability of funding agencies regionally or nationally. The research hotspot on the topic ranges from the transport of airborne MPs/NPs to their deposition in the terrestrial or aquatic environments, along with the contamination of samples by indoor MPs/NPs. Most of the publications are either research or review papers related to MPs/NPs. It is crucial to share the understanding of global plastic pollution and its unfavorable effects on humankind by promoting awareness of the existence and impact of MPs/NPs. Funding agencies are vital in boosting the research development of airborne MPs/NPs. Some countries that are lacking funding support were able to publish research findings related to the field of interest, however, with lesser research output. Without sufficient fundings, some impactful publications may not be able to carry a substantial impact in sharing the findings and discoveries with the mass public.
    Matched MeSH terms: China
  16. Fulltext Hierarchical topological model of the factors influencing adolescents' non-suicidal self-injury behavior based on the DEMATEL-TAISM method
    Lan Z, Pau K, Mohd Yusof H, Huang X
    Sci Rep, 2022 Oct 14;12(1):17238.
    PMID: 36241902 DOI: 10.1038/s41598-022-21377-z
    This study analyzed the factors influencing adolescents' non-suicidal self-injury (NSSI) behavior and their interrelationships, and established a total influencing factor model. Through a literature analysis and semi-structured interviews with 87 adolescents and 27 experts in Guangxi Province, China, 13 influencing factors were identified from six aspects: physiological factors, cognitive factors, emotional factors, social support factors, social environment, and NSSI behavior. A system of factors influencing adolescents' NSSI behavior and a model of the factors influencing the comprehensive antagonism multilevel explanatory structure were obtained using a combination of Decision-Making Trial and Evaluation Laboratory technique and Total Adversarial Interpretive Structural Model. In descending order, NSSI, emotional state, self-efficacy, and self-cognition influenced adolescents' NSSI behavior. Social environment, exercise, and recreation had a greater impact on other factors, while NSSI, emotional regulation ability, and emotional state were greatly affected by other factors. Emotion regulation ability, self-cognition, self-efficacy, family support, school support, social support, and sleep were found to be the core factors influencing NSSI behavior of adolescents. These factors could be used to directly intervene in adolescent NSSI behavior. Timely treatment of adolescents' negative emotional states is directly conducive to preventing NSSI behavior and alleviating its severity.
    Matched MeSH terms: China
  17. Fulltext Sustainable agility of product development process based on a rough cloud technique: A case study on China's small and medium enterprises
    Zhao Z, Alli H, Ahmadipour M, Che Me R
    PLoS One, 2024;19(8):e0300266.
    PMID: 39173012 DOI: 10.1371/journal.pone.0300266
    The importance of incorporating an agile approach into creating sustainable products has been widely discussed. This approach can enhance innovation integration, improve adaptability to changing development circumstances, and increase the efficiency and quality of the product development process. While many agile methods have originated in the software development context and have been formulated based on successful software projects, they often fail due to incorrect procedures and a lack of acceptance, preventing deep integration into the process. Additionally, decision-making for market evaluation is often hindered by unclear and subjective information. Therefore, this study introduces an extended TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) method for sustainable product development. This method leverages the benefits of cloud model theory to address randomness and uncertainty (intrapersonal uncertainty) and the advantages of rough set theory to flexibly handle market demand uncertainty without requiring extra information. The study proposes an integrated weighting method that considers both subjective and objective weights to determine comprehensive criteria weights. It also presents a new framework, named Sustainable Agility of Product Development (SAPD), which aims to evaluate criteria for assessing sustainable product development. To validate the effectiveness of this proposed method, a case study is conducted on small and medium enterprises in China. The obtained results show that the company needs to conduct product structure research and development to realize new product functions.
    Matched MeSH terms: China
  18. Fulltext Could melatonin be used in COVID-19 patients with laryngopharyngeal reflux disease?
    Kow CS, Hasan SS
    J Med Virol, 2021 01;93(1):92-93.
    PMID: 32519764 DOI: 10.1002/jmv.26150
    Matched MeSH terms: China
  19. [Literature research and discussion on properties of a new oversea-introduced traditional Chinese medicine Malaysian ginseng(Tongkat Ali)]
    Ye DN, Wang LY, Fei WT, Lin Q, Yan LY, Yang BR, et al.
    Zhongguo Zhong Yao Za Zhi, 2024 Sep;49(18):5095-5101.
    PMID: 39701690 DOI: 10.19540/j.cnki.cjcmm.20240611.401
    Tongkat Ali(Eurycoma longifolia Jack.) is a medicinal plant of Simaroubaceae in Southeast Asia, with centuries of medicinal history. Rich clinical and pharmacological research results have been attained for this plant, which demonstrates diverse and definite effects and high safety, showcasing advantages and broad market prospects to be introduced as a new medicinal plant. Currently, E. longifolia is cultivated in Hainan and Guangdong in China. However, it has not been utilized for the medicinal purpose in China, and the systematic study on its traditional Chinese medicine(TCM) properties remains to be carried out. This paper comprehensively reviews and analyzes the application history, clinical trials, biological activities, chemical composition, and safety of Tongkat Ali and probes into its TCM properties. The results suggest that Tongkat Ali is sweet, bitter, pungent, and plain, with tropism to the kidney, spleen, and liver meridians. Tongkat Ali has the main functions of tonifying kidney and replenishing essence, invigorating spleen and replenishing Qi, and soothing liver and relieving depression. The clinical applications of Tongkat Ali encompass kidney essence deficiency, sex apathy, spleen Qi deficiency, fatigue, liver depression and Qi stagnation. The recommended dosage and usage of this medicine are 2-10 g daily and decoction with water, respectively. This study aims to facilitate the compatible use and product development of Tongkat Ali while providing reference for introducing it as a new TCM resource and studying the TCM properties of ginseng plants abroad.
    Matched MeSH terms: China
  20. Fulltext Scientific concept and practices of life community of mountains, rivers, forests, farmlands, lakes, grasslands, and deserts in China
    Liu S, Dong Y, McConkey KR, Tran LP, Wang F, Liu H, et al.
    Ambio, 2023 Dec;52(12):1939-1951.
    PMID: 37392251 DOI: 10.1007/s13280-023-01898-1
    China prioritizes ecological civilization construction and embraces the concept of "lucid waters and lush mountains are invaluable assets." Great achievements have been made in ecological protection and restoration through implementing a series of policies and projects. This paper reviews the history of ecological restoration in China and the current development of the "integrated protection and restoration project of mountains, rivers, forests, farmlands, lakes, grasslands, and deserts (IPRP)." Furthermore, the characteristics of IPRP were systematically elaborated from the perspectives of the ecological civilization thought, the policy management, and the key scientific issues. Also, the current achievements were summarized in the fields of national ecological space management, biodiversity conservation, and ecological protection and restoration. Existing challenges in management policy, scientific issues, and engineering practices were highlighted. Future perspectives include ecological space control, nature-based Solutions, biodiversity big data platform, modern techniques, and value realization mechanisms of ecological products.
    Matched MeSH terms: China
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