Displaying publications 1 - 20 of 2210 in total

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  1. Gong Y, Kang J, Wang M, Hayati F, Syed Abdul Rahim SS, Poh Wah Goh L
    Hum Vaccin Immunother, 2024 Dec 31;20(1):2312599.
    PMID: 38356280 DOI: 10.1080/21645515.2024.2312599
    An increasing body of research indicates that immunotherapy has demonstrated substantial effectiveness in the realm of metastatic colorectal cancer(mCRC), especially among patients with deficient mismatch repair (dMMR) or microsatellite instability-high (MSI-H) (dMMR/MSI-H mCRC). This study constitutes the inaugural bibliometric and visual analysis of immunotherapy related to mCRC during the last decade. Between 2013 and the conclusion of 2022, we screened 306 articles from Web of Science and subjected them to analysis using CiteSpace and VOSviewer. The United States stood out as the primary contributor in this area, representing 33.33% of the publications, with China following closely at 24.51%. The most prolific institution has the lowest average citation rate. Sorbonne University were the most highly cited institutions. Notably, Frontiers In Oncology published the largest quantity of articles. Andre, Thierry, and Overman, Michael J. were prominent authors known for their prolific output and the high citation rates of their work. The focus areas in this field encompass "tumor microenvironment," "liver metastasis," "tumor-associated macrophages," "combination therapy" and "gut microbiota." Some keywords offer promise as potential biomarkers for evaluating the effectiveness of immunotherapeutic interventions.
    Matched MeSH terms: China
  2. Zhang J, Lew B, Liu Y, Chistopolskaya K, Zhao S
    Omega (Westport), 2024 May;89(1):275-291.
    PMID: 35098786 DOI: 10.1177/00302228211072985
    BACKGROUND: There is a lack of religiosity studies in China especially in relation to mental health and suicidality. In this research, we focus our studies on medical workers of which some studies reported to have higher stress, and to pilot our studies in this adult age-group.

    DATA AND METHODOLOGY: Data were obtained by a questionnaire survey in a large public hospital in a big metropolitan city of China. The final sample consisted of 1012 respondents with 237 (23.4%) being male and 775 (76.6%) being female. The respondents were of three groups: (1) Believers (n = 34; 3.5%); (2) Non-Believers or Atheists (n = 547; 55.8%); and (3) Agnostics or Fence-Sitters (n = 400; 40.8%). Suicidality was measured by the NCS-Suicidality Scale, and standard measures were employed for other major variables.

    FINDINGS: In line with other recent studies in China, the religion rate among the urban adults remained low (3.5%). However, about 40.8% of the respondents chose "don't know" and could be fence-sitters on the issue of religious belief. Many of them are involved in various folk beliefs which may not be considered as religious. The religious believers were at higher risk of suicidality and depression than the atheists and the fence-sitters. However, the fence-sitters were higher than the believers and atheists on psychological strains, and they were higher on depression compared to the atheists.

    CONCLUSION: The religious believers and religious fence-sitters have higher psychopathologic risks and suicidal risk than the atheist group. Religion as of low prevalence in Chinese societies is a social value deviant from the norm and its practitioners are likely to be marginalized or stigmatized. The Strain Theory of Suicide is used for detailed explanations.

    Matched MeSH terms: China
  3. Smaraki N, Jogi HR, Kamothi DJ, Savsani HH
    Arch Microbiol, 2024 Apr 09;206(5):210.
    PMID: 38592503 DOI: 10.1007/s00203-024-03932-6
    Lumpy skin disease (LSD) is a highly infectious and economically devastating viral disease of cattle. It is caused by Lumpy Skin Disease Virus (LSDV) belonging to the genus Capripoxvirus and family Poxviridae. The origin of lumpy skin disease has been traced to Zambia, (an African nation) in Southern part during the year 1929. The first reported case of LSD besides Africa was from Israel, a Middle Eastern nation, thus proving inter-continental spread. Subsequently, the disease entered Middle East, Eastern Europe and Asia with numerous outbreaks in the recent years. LSD has emerged as a significant concern in the Indian sub-continent, due to outbreaks reported in countries such as Bangladesh, India, China in 2019. In the following years, other South and East Asian countries like Taipei, Nepal, Sri Lanka, Myanmar, Bhutan, Vietnam, Hong Kong, Thailand, Malaysia, Laos, Cambodia, Pakistan, Indonesia and Singapore also faced severe outbreaks. At present, LSD is considered to be an emerging disease in the Indian sub-continent due to the recent status of disease. Considering the global scenario, LSDV is changing its transmission dynamics as evidenced by a shift in its epidemiology. As a result of high morbidity and mortality rate among cattle, the current outbreaks have been a major cause of socio-economic catastrophe. This contagious viral disease has eminent repercussions as the estimated monetary damage incurred is quite high. Despite having networked surveillance and comprehensive databases, the recurring outbreaks have raised major concern among researchers. Therefore, this review offers brief insights into the emergence of LSDV by amalgamating the newest literature related to its biology, transmission, clinico-pathology, epidemiology, prevention strategies, and economic consequences. Additionally, we have also provided the epidemiological insights of the recent outbreaks with detailed state wise studies.
    Matched MeSH terms: China
  4. Fan D, Maliki NZB, Yu S, Jin F, Han X
    Environ Monit Assess, 2024 Apr 04;196(5):424.
    PMID: 38573531 DOI: 10.1007/s10661-024-12558-6
    This study employs an artificial neural network optimization algorithm, enhanced with a Genetic Algorithm-Back Propagation (GA-BP) network, to assess the service quality of urban water bodies and green spaces, aiming to promote healthy urban environments. From an initial set of 95 variables, 29 key variables were selected, including 17 input variables, such as water and green space area, population size, and urbanization rate, six hidden layer neurons, such as patch number, patch density, and average patch size, and one output variable for the comprehensive value of blue-green landscape quality. The results indicate that the GA-BP network achieves an average relative error of 0.94772%, which is superior to the 1.5988% of the traditional BP network. Moreover, it boasts a prediction accuracy of 90% for the comprehensive value of landscape quality from 2015 to 2022, significantly outperforming the BP network's approximate 70% accuracy. This method enhances the accuracy of landscape quality assessment but also aids in identifying crucial factors influencing quality. It provides scientific and objective guidance for future urban landscape structure and layout, contributing to high-quality urban development and the creation of exemplary living areas.
    Matched MeSH terms: China
  5. Zhou L, Azam SMF
    J Environ Manage, 2024 Apr;356:120687.
    PMID: 38547821 DOI: 10.1016/j.jenvman.2024.120687
    Based on the panel data of 22 inland provinces in China from 2010 to 2020, this study constructs and measures the level of rural ecological environment in China. The impact of the financial performance of green-listed companies on the rural ecological environment and its moderating and threshold effects are analyzed. The following conclusions are drawn: (1) During 2010-2020, China's rural ecological environment shows a trend of "fluctuating-decreasing-rising" with significant regional non-equilibrium characteristics. (2) The financial performance of green-listed companies has a significantly negative impact on rural ecology. This negative impact has a crucial heterogeneous feature, with a more significant negative impact in areas with a higher rural ecological environment index and less substantial performance in regions with a lower rural ecological environment index. (3) There is a significant positive moderating effect of education level and digitalization on the relationship between the financial performance of green-listed companies on the level of rural ecological development. As moderating variables, the digitalization and education level weakens the negative impact of green-listed companies' performance on the ecological environment. The positive impact of the financial performance of green-listed companies on the development level of the rural ecological environment is more vital in areas with higher per capita education levels and digitalization in rural areas. (4) There is a significant threshold effect on the financial performance of green-listed companies on the level of rural ecological development. When the financial performance of green-listed companies exceeds a particular threshold value, the impact of the financial performance of green-listed companies on the development level of the rural ecological environment is significantly positive. Based on the above findings, this paper puts forward corresponding countermeasure suggestions.
    Matched MeSH terms: China
  6. Wang H, Liu K, He Z, Chen Y, Hu Z, Chen W, et al.
    Mar Pollut Bull, 2024 Apr;201:116198.
    PMID: 38428045 DOI: 10.1016/j.marpolbul.2024.116198
    Metabarcoding analysis is an effective technique for monitoring the domoic acid-producing Pseudo-nitzschia species in marine environments, uncovering high-levels of molecular diversity. However, such efforts may result in the overinterpretation of Pseudo-nitzschia species diversity, as molecular diversity not only encompasses interspecies and intraspecies diversities but also exhibits extensive intragenomic variations (IGVs). In this study, we analyzed the V4 region of the 18S rDNA of 30 strains of Pseudo-nitzschia multistriata collected from the coasts of China. The results showed that each P. multistriata strain harbored about a hundred of unique 18S rDNA V4 sequence varieties, of which each represented by a unique amplicon sequence variant (ASV). This study demonstrated the extensive degree of IGVs in P. multistriata strains, suggesting that IGVs may also present in other Pseudo-nitzschia species and other phytoplankton species. Understanding the scope and levels of IGVs is crucial for accurately interpreting the results of metabarcoding analysis.
    Matched MeSH terms: China
  7. Lyu X, Al Mamun A, Yang Q, Aziz NA
    Sci Rep, 2024 Mar 28;14(1):7362.
    PMID: 38548855 DOI: 10.1038/s41598-024-58060-4
    The issues of employment, social inequality, and resource scarcity can be effectively addressed through social entrepreneurship, contributing to the growing research interest on the formation of social entrepreneurial intention. Using the theory of planned behaviour, the current study examined the influence of selected key factors on social entrepreneurial intention among university students. Based on the cross-sectional quantitative research design, online survey was conducted, which involved 684 students and graduates from five universities in Southern China. The obtained results demonstrated the significant and positive influence of perceived values on sustainability, opportunity recognition competency, attitude towards entrepreneurship, subjective norms, and perceived behavioural control on social entrepreneurial intention. Additionally, attitude towards entrepreneurship partially mediated the relationships of risk-taking propensity, self-efficacy, and need for achievement on social entrepreneurial intention. The multi-group analysis results also showed that need for achievement and social entrepreneurial intention differed significantly between genders, which provides new ideas for future investigations into the impact of gender on social entrepreneurial intentions. Based on the findings of this study, it is crucial that university students are exposed to relevant courses or training to develop social entrepreneurship competencies and promote sustainable values. The findings of this study will provide policymakers with relevant policy guidelines and more effective theoretical support to achieve the goal of promoting social entrepreneurship among university students in a more resource-efficient and effective manner.
    Matched MeSH terms: China
  8. Kulkarni D, Ismail NF, Zhu F, Wang X, Del Carmen Morales G, Srivastava A, et al.
    J Glob Health, 2024 Mar 01;14:05003.
    PMID: 38419461 DOI: 10.7189/jogh.14.05003
    METHODS: We searched MEDLINE, Embase, Global Health, CINAHL, China National Knowledge Infrastructure, Wanfang, CQvip, and the World Health Organization (WHO) COVID-19 global literature databases for primary studies recruiting children aged ≤18 years with a diagnosis of SARS-CoV-2 infection confirmed either by molecular or antigen tests. We used the Joanna Briggs Institute critical appraisal tools to appraise the study quality and conducted meta-analyses using the random effects model for all outcomes except for race/ethnicity as risk factors of SARS-CoV-2 infection.

    RESULTS: We included 237 studies, each reporting at least one of the study outcomes. Based on data from 117 studies, the pooled SARS-CoV-2 positivity rate was 9.30% (95% confidence interval (CI) = 7.15-11.73). Having a comorbidity was identified as a risk factor for SARS-CoV-2 infection (risk ratio (RR) = 1.33; 95% CI = 1.04-1.71) based on data from 49 studies. Most cases in this review presented with mild disease (n = 50; 52.47% (95% CI = 44.03-60.84)). However, 20.70% of paediatric SARS-CoV-2 infections were hospitalised (67 studies), 7.19% required oxygen support (57 studies), 4.26% required intensive care (93 studies), and 2.92% required assisted ventilation (63 studies). The case fatality ratio (n = 119) was 0.87% (95% CI = 0.54-1.28), which included in-hospital and out-of-hospital deaths.

    CONCLUSIONS: Our data showed that children were at risk for SARS-CoV-2 infections and severe outcomes in the pre-Omicron era. These findings underscore the need for effective vaccination strategies for the paediatric population to protect against the acute and long-term sequelae of COVID-19.

    REGISTRATION: PROSPERO: CRD42022327680.

    Matched MeSH terms: China
  9. Nastasi BK, Clinton A
    Sch Psychol, 2024 Mar;39(2):119-121.
    PMID: 38546600 DOI: 10.1037/spq0000631
    This introduction to the special issue on global perspectives frames the collection of articles around recent calls for expanding the focus of research in psychology in general, and school psychology specifically, beyond Western, educated, industrialized, rich, and democratic countries and cross-cultural comparisons with non-Western, educated, industrialized, rich, and democratic Confucian East Asian countries (cf. individualistic vs. collectivist societies; see Krys et al., 2024), while neglecting populations in Latin American, Eastern Europe, Africa, Middle East, South Asia, and Oceania. The articles in this issue represent research from China, Germany, Italy, Latvia, Malaysia, Ukraine, Vietnam, and the United States and address topics as diverse as teacher consultation, implementation science, adapting evidence-based interventions, parent-teacher and teacher-child relationships, bullying, behavior management, school climate and equity, resilience during war, newcomer immigrants, refugee status in transit countries, and social media use. Research methods represented in this issue include correlational, case study, comparative (cross-country), mixed methods, and participatory approaches. We hope that the articles in this internationally focused collection heighten school psychologists' knowledge of and interest in a world where science and practice expand beyond borders, and that the global-intercultural perspective represented herein can facilitate collaboration across cultures and contexts as we advocate for the rights and well-being of each child. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
    Matched MeSH terms: China
  10. Kho SK, Leong BQZ, Keeble DRT, Wong HK, Estudillo AJ
    Behav Res Methods, 2024 Mar;56(3):1192-1206.
    PMID: 36971958 DOI: 10.3758/s13428-023-02085-6
    The Cambridge Face Memory Test (CFMT) is one of the most important measures of individual differences in face recognition and for the diagnosis of prosopagnosia. Having two different CFMT versions using a different set of faces seems to improve the reliability of the evaluation. However, at the present time, there is only one Asian version of the test. In this study, we present the Cambridge Face Memory Test - Chinese Malaysian (CFMT-MY), a novel Asian CFMT using Chinese Malaysian faces. In Experiment 1, Chinese Malaysian participants (N = 134) completed two versions of the Asian CFMT and one object recognition test. The CFMT-MY showed a normal distribution, high internal reliability, high consistency and presented convergent and divergent validity. Additionally, in contrast to the original Asian CFMT, the CFMT-MY showed an increasing level of difficulties across stages. In Experiment 2, Caucasian participants (N = 135) completed the two versions of the Asian CFMT and the original Caucasian CFMT. Results showed that the CFMT-MY exhibited the other-race effect. Overall, the CFMT-MY seems to be suitable for the diagnosis of face recognition difficulties and could be used as a measure of face recognition ability by researchers who wish to examine face-related research questions such as individual differences or the other-race effect.
    Matched MeSH terms: China
  11. Wen Y, Qiu Y, Leong CXR, van Heuven WJB
    Behav Res Methods, 2024 Mar;56(3):2333-2352.
    PMID: 37407785 DOI: 10.3758/s13428-023-02151-z
    A prominent methodological issue in cognitive research on bilingualism is the lack of consistency in measuring second language (L2) proficiency. To reduce the inconsistency in L2 proficiency measurements, brief and valid vocabulary tests have been developed as an objective measure of proficiency in a variety of languages (e.g., English, French, Spanish). Here, we present LexCHI, a valid lexical test to measure Chinese proficiency. This freely available short test consists of 60 two-character items presented in simplified Chinese. Although it only takes a few minutes to complete LexCHI, the LexCHI scores in two studies correlated significantly with L2 participants' performance in a translation task and a cloze test. We believe that LexCHI is a useful tool for researchers who need to objectively measure Chinese proficiency as part of their investigations.
    Matched MeSH terms: China
  12. Ullah F, Ragazzoni L, Hubloue I, Barone-Adesi F, Valente M
    Disaster Med Public Health Prep, 2024 Feb 22;18:e34.
    PMID: 38384190 DOI: 10.1017/dmp.2024.26
    As heatwaves increase and intensify worldwide, so has the research aimed at outlining strategies to protect individuals from their impact. Interventions that promote adaptive measures to heatwaves are encouraged, but evidence on how to develop such interventions is still scarce. Although the Health Belief Model is one of the leading frameworks guiding behavioral change interventions, the evidence of its use in heatwave research is limited. This rapid review aims to identify and describe the main themes and key findings in the literature regarding the use of the Health Belief Model in heatwaves research. It also highlights important research gaps and future research priorities. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 10 articles were included, with a geographic distribution as follows: United States (n = 1), Australia (n = 1), Pakistan (n = 1), and China (n = 1), as well as Malaysia (n = 2), Germany (n = 1), and Austria (n = 1). Results showed a lack of research using the Health Belief Model to study heatwaves induced by climate change. Half of the studies assessed heatwave risk perception, with the 2 most frequently used constructs being Perceived Susceptibility and Perceived Severity. The Self-efficacy construct was instead used less often. Most of the research was conducted in urban communities. This review underscores the need for further research using the Health Belief Model.
    Matched MeSH terms: China
  13. Siddique S, Chaudhry MN, Ahmad SR, Nazir R, Javed R, Hafeez MR, et al.
    Sci Total Environ, 2024 Feb 20;912:169256.
    PMID: 38101629 DOI: 10.1016/j.scitotenv.2023.169256
    A pioneering study employed a holistic geostatistical approach to predict the spatial variability of a non sampled area in the Chenab River, Pakistan, using kriging interpolation for organochlorine pesticide (OCP)-polluted risk zones. The Present research intended to investigate the carcinogenic and non-carcinogenic human health risks, contamination levels, and spatial variation of OCPs in the Chenab River, Pakistan. The residual OCP content in sediment samples (n = 120) ranged from 0.056 to 32.14 ng/g. DDE and α-HCH were prevalent among all the samples analyzed, with mean concentrations of 15.84 ± 8.02 and 12.45 ± 6.72 ng/g, respectively. The order of magnitude of OCPs in sediment samples was DDTs > α-HCH > chlorothalonil > heptachlor > endosulfan > aldrin > dieldrin. The findings of the single (SPI) and Nemerow (Nel) pollution index of α-HCH, heptachlor, and aldrin depicted the Chenab River as a serious pollution risk zone. The outcomes of the Pearson correlation coefficient analysis represent the positive correlation among all OCPs, revealing the common origin. Distribution trends showed substantially higher (p 10-4 illustrated a substantial cancer health risk posed by α-HCH, heptachlor, aldrin, and dieldrin in the downstream zone. We recommend the urgent cessation of the ongoing discharge of OCPs into the Chenab River, which needs to be highlighted owing to the significant cancer risk to public health to ensure the good health and wellbeings.
    Matched MeSH terms: China
  14. Tao Y, Yu J
    BMC Psychol, 2024 Feb 16;12(1):80.
    PMID: 38365708 DOI: 10.1186/s40359-024-01572-5
    BACKGROUND: The study explores language acquisition in Chinese English as a Foreign Language (EFL) education, where English proficiency is crucial for global opportunities. As China gains prominence, the demand for English skills rises beyond communication to include academic and business success. The Chinese education system emphasizes proficient English writing for further education and professional achievement. This research investigates the complex linguistic context for EFL learners in China, analyzing the intersection of psychological factors, cultural nuances, varied pedagogy, and individual experiences.

    METHODS: Structural Equation Modeling (SEM) is utilized for analysis, enabling the creation of a metric set to explore intangibles such as perfectionism, learning self-efficacy, motivation, study habits, cultural influences, and introspection. The research utilizes a diverse sample from multiple universities across different regions of China, incorporating demographic factors to encompass the varied characteristics within the EFL learner community.

    RESULTS: Results reveal that perfectionism (β = 0.30, p 

    Matched MeSH terms: China
  15. Ou D, Ni Y, Li W, He W, Wang L, Huang H, et al.
    J Hazard Mater, 2024 Feb 15;464:132971.
    PMID: 37956562 DOI: 10.1016/j.jhazmat.2023.132971
    Microplastic (MP) pollution has emerged as a pressing environmental concern due to its ubiquity and longevity. Biodegradation of MPs has garnered significant attention in combatting global MP contamination. This study focused on MPs within sediments near the sewage outlet of Shenzhen Bay. The objective was to elucidate the microbial communities in sediments with varying MPs, particularly those with high MP loads, and to identify microorganisms associated with MP degradation. The results revealed varying MP abundance, ranging from 211 to 4140 items kg-1 dry weight (d. w.), with the highest concentration observed near the outfall. Metagenomic analysis confirmed the enrichment of Psychrobacter species in sediments with high MP content. Psychrobacter accounted for ∼16.71% of the total bacterial community and 41.71% of hydrocarbon degrading bacteria at the S3 site, exhibiting a higher abundance than at other sampling sites. Psychrobacter contributed significantly to bacterial function at S3, as evidenced by the Kyoto Encyclopedia of Genes and Genomes pathway and enzyme analysis. Notably, 28 enzymes involved in MP biodegradation were identified, predominantly comprising oxidoreductases, hydrolases, transferases, ligases, lyases, and isomerases. We propose a putative mechanism for MP biodegradation, involving the breakdown of long-chain plastic polymers and subsequent oxidation of short-chain oligomers, ultimately leading to thorough mineralization.
    Matched MeSH terms: China
  16. Wang G, Sabran K
    Sci Rep, 2024 Feb 02;14(1):2759.
    PMID: 38308079 DOI: 10.1038/s41598-024-53292-w
    It has been well established that pandemics affect mental health, yet few studies have been conducted in China regarding this issue following COVID-19's gradual decline and the recent H1N1 influenza outbreak. In response to this research gap, this investigation explores the risk factors linked to depression and anxiety symptoms among young adults in this specific setting. Data were collected via an online cross-sectional survey of 385 young adults living in Anyang city, Henan Province, China, between June 15 and July 21, 2023. Respondents were assessed for anxiety and depression symptoms using the GAD-7 and PHQ-9 scales. Additionally, to examine the factors that influenced the study, we utilized an ordered logit regression model. Results revealed depression and anxiety prevalence rates of 33.3% and 21.6%, respectively. Several factors were found to increase the likelihood of depression and anxiety among young adults, including gender, age, education status, marital status, and attitudes towards epidemics. Participants' concerns about pandemics and viruses had a significant negative impact relationship on depression levels. Women report moderate to severe anxiety more frequently than men. An evident correlation can be observed between the educational attainment level and the influence of depression and anxiety.
    Matched MeSH terms: China/epidemiology
  17. Li X, Zhang F, Shi J, Chan NW, Cai Y, Cheng C, et al.
    Environ Sci Pollut Res Int, 2024 Feb;31(6):9333-9346.
    PMID: 38191729 DOI: 10.1007/s11356-023-31702-2
    As an inland dryland lake basin, the rivers and lakes within the Lake Bosten basin provide scarce but valuable water resources for a fragile environment and play a vital role in the development and sustainability of the local societies. Based on the Google Earth Engine (GEE) platform, combined with the geographic information system (GIS) and remote sensing (RS) technology, we used the index WI2019 to extract and analyze the water body area changes of the Bosten Lake basin from 2000 to 2021 when the threshold value is -0.25 and the slope mask is 8°. The driving factors of water body area changes were also analyzed using the partial least squares-structural equation model (PLS-SEM). The result shows that in the last 20 years, the area of water bodies in the Bosten Lake basin generally fluctuated during the dry, wet, and permanent seasons, with a decreasing trend from 2000 to 2015 and an increasing trend between 2015 and 2019 followed by a steadily decreasing trend afterward. The main driver of the change in wet season water bodies in the Bosten Lake basin is the climatic factors, with anthropogenic factors having a greater influence on the water body area of dry season and permanent season than that of wet season. Our study achieved an accurate and convenient extraction of water body area and drivers, providing up-to-date information to fully understand the spatial and temporal variation of surface water body area and its drivers in the basin, which can be used to effectively manage water resources.
    Matched MeSH terms: China
  18. 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
  19. Kurniawan TA, Liang X, Goh HH, Dzarfan Othman MH, Anouzla A, Al-Hazmi HE, et al.
    J Environ Manage, 2024 Feb;351:119879.
    PMID: 38157574 DOI: 10.1016/j.jenvman.2023.119879
    In recent years, food waste has been a global concern that contributes to climate change. To deal with the rising impacts of climate change, in Hong Kong, food waste is converted into electricity in the framework of low-carbon approach. This work provides an overview of the conversion of food waste into electricity to achieve carbon neutrality. The production of methane and electricity from waste-to-energy (WTE) conversion are determined. Potential income from its sale and environmental benefits are also assessed quantitatively and qualitatively. It was found that the electricity generation from the food waste could reach 4.33 × 109 kWh annually, avoiding equivalent electricity charge worth USD 3.46 × 109 annually (based on US' 8/kWh). An equivalent CO2 mitigation of 9.9 × 108 kg annually was attained. The revenue from its electricity sale in market was USD 1.44×109 in the 1st year and USD 4.24 ×109 in the 15th year, respectively, according to the projected CH4 and electricity generation. The modelling study indicated that the electricity production is 0.8 kWh/kg of landfilled waste. The food waste could produce electricity as low as US' 8 per kW ∙ h. In spite of its promising results, there are techno-economic bottlenecks in commercial scale production and its application at comparable costs to conventional fossil fuels. Issues such as high GHG emissions and high production costs have been determined to be resolved later. Overall, this work not only leads to GHG avoidance, but also diversifies energy supply in providing power for homes in the future.
    Matched MeSH terms: China
  20. Yang M, Mohammad Yusoff WF, Mohamed MF, Jiao S, Dai Y
    J Environ Manage, 2024 Feb;351:119798.
    PMID: 38103426 DOI: 10.1016/j.jenvman.2023.119798
    With climate change and urbanization, flood disasters have significantly affected urban development worldwide. In this study, we developed a paradigm to assess flood economic vulnerability and risk at the urban mesoscale, focusing on urban land use. A hydrological simulation was used to evaluate flood hazards through inundation analyses, and a hazard-vulnerability matrix was applied to assess flood risk, enhancing the economic vulnerability assessment by quantifying the differing economic value and flood losses associated with different land types. The case study of Wangchengpo, Changsha, China, found average total economic losses of 126.94 USD/m2, with the highest risk in the settlement core. Residential areas had the highest flood hazard, vulnerability, and losses (61.10% of the total loss); transportation areas accounted for 27.87% of the total economic losses due to their high flooding depth. Despite low inundation, industrial land showed greater economic vulnerability due to higher overall economic value (10.52% of the total). Our findings highlight the influence of land types and industry differences on flood vulnerability and the effectiveness of land-use inclusion in urban-mesoscale analyses of spatial flood characteristics. We identify critical areas with hazard and economic vulnerability for urban land and disaster prevention management and planning, helping to offer targeted flood control strategies to enhance urban resilience.
    Matched MeSH terms: China
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