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  1. Article ; Online: Changing pattern and driving factors of ecosystem service value of the lakes in Northern China since 1990

    Qianqian Liu / Xibao Xu / Minkun Chen

    Ecological Indicators, Vol 158, Iss , Pp 111370- (2024)

    1481  

    Abstract: Lakes in Northern China are widely distributed with large surface areas, and play a crucial role in maintaining ecological security in the northern regions of China. In this study, based on the relationship between ecosystem services (ES) value and lake ... ...

    Abstract Lakes in Northern China are widely distributed with large surface areas, and play a crucial role in maintaining ecological security in the northern regions of China. In this study, based on the relationship between ecosystem services (ES) value and lake key indicators, including lake area, potential evapotranspiration, comprehensive trophic level index (TLI), precipitation, and lake volume, the lake ecoservice production functions (LEPFs) were constructed to evaluate lake ecosystem service value (LESV) in Northern China. Subsequently, the driving factors influencing LESV were identified at the lake-basin scale. The results showed that the total LESV in Northern China increased from 5,088.7 billion yuan in 1990 to 5,112.9 billion yuan in 2020, by increasing 0.47%. The total LESV of Xinjiang (XJ) and Tibetan Plateau (TP) lake regions showed an increasing trend, with rates of 5.39% and 2.32%, respectively. However, those of Inner Mongolia Plateau (IMP), Northeast Plain and Mountains (NPM), and Eastern Plain (EP) lake regions showed a decrease, with rates of 19.83%, 6.29%, and 1.72%, respectively. The changing rate in LESV varied significantly among different lake regions. Approximately 30% and 40% of the lakes in XJ and TP lake regions had a growth rate exceeding 0.3 billion yuan, while 86% and 14% of lakes in NPM and IMP lake regions experienced a decline exceeding 0.3 billion yuan, respectively. 40% of the lakes in EP lake region had a growth rate of less than 0.05 billion yuan, and 60% of the lakes had a decline rate of less than 0.05 billion yuan. The average temperature, precipitation, impervious area, and water area within the lake-basins had a significant impact on LESV. Among them, the effect of climate change on LESV was higher than that of the anthropogenic factors. These findings can provide helpful references for the assessing methods of the LESV at a large regional scale and developing lake conservation policies.
    Keywords Lakes in Northern China ; Ecosystem service value ; Spatiotemporal change ; Driving factors ; Ecology ; QH540-549.5
    Subject code 550
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article: Minimum wage standard adjustment and employment: Heterogeneity effects on the human capital investment.

    Ling, Lin / Khan, Hayat / Qianqian, Liu / Qiumei, Li

    Heliyon

    2024  Volume 10, Issue 3, Page(s) e25097

    Abstract: Considerable debate has arisen around the potential effects of increasing the minimum wage on employment. This study aims to analyze the impact of changes in China's minimum wage standard on employment. The research utilises the canonical model method ... ...

    Abstract Considerable debate has arisen around the potential effects of increasing the minimum wage on employment. This study aims to analyze the impact of changes in China's minimum wage standard on employment. The research utilises the canonical model method and constructs a regression model based on standard labor economics theory. The analysis is conducted using sample data from Chinese industrial enterprises between 2000 and 2007. Regression analysis is performed by categorizing enterprises based on their level of human capital investment. The findings indicate that minimum wage increases have a non-linear impact on employment, when seen from the standpoint of human capital investment. When the level of human capital investment is low, an increase in the minimum wage standard leads to a decrease in employment; when the level of human capital investment is high, an increase in the minimum wage standard leads to an increase in employment. According to the findings, the reason for this is that, investments in human capital can improve business profitability, increase worker marginal productivity, and increase labor demand. Similarly, the employment effect of a change in the minimum wage is positive in regions with high levels of human capital investment due to the externality effect of human capital. Adjustments to the minimum wage have a negative impact on employment in areas of the country with low levels of human capital investment. This demonstrates that changing the minimum wage does not result in a simple increase or decrease in total employment. The level of investment in human capital within the organization and the region is an important factor in determining the type and magnitude of the impact.
    Language English
    Publishing date 2024-01-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e25097
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Uric acid levels and risk of cognitive impairment

    Qianqian Liu / Min Peng / Tiantian Yang / Guomin Si

    PLoS ONE, Vol 18, Iss 11, p e

    Dose-response meta-analysis of prospective cohort studies.

    2023  Volume 0293832

    Abstract: Purpose Studying the effects of uric acid levels on cognitive function and quantifying the dose-response relationship. Methods Based on PubMed and Embase search terms, we identified prospective cohort studies that included blood uric acid as a risk ... ...

    Abstract Purpose Studying the effects of uric acid levels on cognitive function and quantifying the dose-response relationship. Methods Based on PubMed and Embase search terms, we identified prospective cohort studies that included blood uric acid as a risk factor and cognitive impairment as a result up to September 2022. We extracted pooled relative risks (RRs) and corresponding 95% confidence intervals (CIs). Results Nine reports (including 488,915 participants and 5516 cognitive impairment cases) with median follow-up of 8.8-22 years were eligible for analyses. Compared with lowest category of blood uric acid concentration, the combined RR of cognitive impairment events in the highest classification was 0.81 (95% CI: 0.70-0.92, P < 0.001). Dose-response analysis of eight reports (including 484,297 participants and 5059 cognitive impairment cases) showed that there was no evidence of a curvilinear relationship between blood uric acid levels and cognitive impairment (P = 0.51 for nonlinear relationship). The summary RR of cognitive impairment for an increase of 1 mg/dL blood uric acid level was 0.98 (95% CI: 0.95-1.00; linear trend P = 0.07, I2 = 67.1%, heterogeneity P < 0.05). There was also a linear negative association between blood uric acid levels and cognitive impairment risk in the male subgroup analysis (RR = 0.97, 95% CI: 0.95-0.99, P < 0.05). Conclusion Levels of blood uric acid are not related to risk of cognitive impairment. A subgroup analysis shows that the rise in blood uric acid levels in the male population is related to a decreased risk of cognitive impairment. These results need to be confirmed by further studies.
    Keywords Medicine ; R ; Science ; Q
    Subject code 616
    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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  4. Article ; Online: Uric acid levels and risk of cognitive impairment

    Qianqian Liu / Min Peng / Tiantian Yang / Guomin Si

    PLoS ONE, Vol 18, Iss

    Dose-response meta-analysis of prospective cohort studies

    2023  Volume 11

    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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  5. Article ; Online: An optimal method for melanoma detection from dermoscopy images using reinforcement learning and support vector machine optimized by enhanced fish migration optimization algorithm

    Qianqian Liu / Hiroto Kawashima / Asad Rezaei sofla

    Heliyon, Vol 9, Iss 10, Pp e21118- (2023)

    2023  

    Abstract: Early detection of melanoma is crucial in preventing death from this fatal skin cancer. Therefore, it would be valuable to develop a method that facilitates this process. The diagnosis of melanoma typically involves an invasive form of testing called a ... ...

    Abstract Early detection of melanoma is crucial in preventing death from this fatal skin cancer. Therefore, it would be valuable to develop a method that facilitates this process. The diagnosis of melanoma typically involves an invasive form of testing called a biopsy, as well as non-invasive intelligent approaches to diagnosis. In the present study a recent research, a novel approach has been developed for the optimal detection of melanoma cancer. The method uses reinforcement learning for segmenting the skin regions, followed by the extraction and selection of useful features using the Enhanced Fish Migration Optimizer (EFMO) algorithm. The outcomes get categorized on the basis of an optimized SVM on the basis of the EFMO algorithm. The recommended approach has been certified by applying it to the SIIM-ISIC dataset of Melanoma and comparing it with 12 other approaches. Simulations illustrated that the proposed method delivered the finest values compared to the others.
    Keywords Melanoma detection ; Feature selection ; Reinforcement learning ; Enhanced fish migration optimizer (EFMO) ; Feature extraction ; Support vector machine ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Subject code 006
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Effect of Equivalence Ratio on Pollutant Formation in CH 4 O/H 2 /NH 3 Blend Combustion

    Jingyun Sun / Qianqian Liu / Mingyan Gu / Yang Wang

    Molecules, Vol 29, Iss 1, p

    2023  Volume 176

    Abstract: This paper investigates the effect of equivalence ratio on pollutant formation characteristics of CH 4 O/H 2 /NH 3 ternary fuel combustion and analyzes the pollutant formation mechanisms of CO, CO 2 , and NO X at the molecular level. It was found that ... ...

    Abstract This paper investigates the effect of equivalence ratio on pollutant formation characteristics of CH 4 O/H 2 /NH 3 ternary fuel combustion and analyzes the pollutant formation mechanisms of CO, CO 2 , and NO X at the molecular level. It was found that lowering the equivalence ratio accelerates the decomposition of CH 4 O, H 2 , and NH 3 in general. The fastest rate of consumption of each fuel was found at φ = 0.33, while the rates of CH 4 O and NH 3 decomposition were similar for the φ = 0.66 and φ = 0.4. CO shows an inverted U-shaped trend with time, and peaks at φ = 0.5. The rate and amount of CO 2 formation are inversely proportional to the equivalence ratio. The effect of equivalence ratio on CO 2 is obvious when φ > 0.5. NO 2 is the main component of NO X . When φ < 0.66, NO X shows a continuous increasing trend, while when φ ≥ 0.66, NO X shows an increasing and then stabilizing trend. Reaction path analysis showed that intermediates such as CH 3 and CH 4 were added to the CH 4 O to CH 2 O conversion stage as the equivalence ratio decreased with φ ≥ 0.5. New pathways, CH 4 O→CH 3 →CH 2 O and CH 4 O→CH 3 →CH 4 →CH 2 O, were added. At φ ≤ 0.5, new intermediates CHO 2 and CH 2 O 2 were added to the CH 2 O to CO 2 conversion stage, and new pathways are added: CH 2 O→CO→CHO 2 →CO 2 , CH 2 O→CO→CO 2 , CH 2 O→CHO→CO→CHO 2 →CO 2 , and CH 2 O→CH 2 O 2 →CO 2 . The reduction in the number of radical reactions required for the conversion of NH 3 to NO from five to two directly contributes to the large amount of NO X formation. Equivalent ratios from 1 to 0.33 corresponded to 12%, 21.4%, 34%, 46.95%, and 48.86% of NO 2 remaining, respectively. This is due to the fact that as the equivalence ratio decreases, more O 2 collides to form OH and some of the O 2 is directly involved in the reaction forming NO 2 .
    Keywords ternary blend combustion ; equivalent ratio ; NO X ; ReaxFF MD ; reaction mechanism ; Organic chemistry ; QD241-441
    Subject code 290 ; 669
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Examining the Driving Factors of Urban Residential Carbon Intensity Using the LMDI Method

    Jincai Zhao / Qianqian Liu

    International Journal of Environmental Research and Public Health, Vol 18, Iss 3929, p

    Evidence from China’s County-Level Cities

    2021  Volume 3929

    Abstract: Improving carbon efficiency and reducing carbon intensity are effective means of mitigating climate change. Carbon emissions due to urban residential energy consumption have increased significantly; however, there is a lack of research on urban ... ...

    Abstract Improving carbon efficiency and reducing carbon intensity are effective means of mitigating climate change. Carbon emissions due to urban residential energy consumption have increased significantly; however, there is a lack of research on urban residential carbon intensity. This paper examines the spatiotemporal variation of carbon intensity in the residential sector during 2001–2015, and then identifies the causes of the variation by utilizing the logarithmic mean Divisia index (LMDI) with the help of Microsoft Excel 2016 for 620 county-level cities in 30 Chinese provinces. The results show that high carbon intensity is mainly found in large cities, such as Beijing, Tianjin, and Shanghai. However, these cities showed a downward trend in carbon intensity. In terms of influencing factors, the energy consumption per capita, urban sprawl, and land demand are the three most influential factors in determining the changes in carbon intensity. The effect of energy consumption per capita mainly increases the carbon intensity, and its impact is higher in the municipal districts of provincial capital cities than in other types of cities. Similarly, the urban sprawl effect also promotes increases in carbon intensity, and a higher degree of influence appears in large cities. However, as urban expansion plateaus, the effect of urban sprawl decreases. The land-demand effect reduces the carbon intensity, and the degree of influence of the land-demand effect on carbon intensity is also clearly stronger in big cities. Our findings show that lowering the energy consumption per capita and optimizing the land-use structure are a reasonable direction of efforts, and the effects of differences in influencing factors should be paid more attention to reduce carbon intensity.
    Keywords carbon intensity ; residential sector ; urban expansion ; LMDI ; county level ; Medicine ; R
    Subject code 710
    Language English
    Publishing date 2021-04-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Reactive Molecular Dynamics Study of Pollutant Formation Mechanism in Hydrogen/Ammonia/Methanol Ternary Carbon-Neutral Fuel Blend Combustion

    Jingyun Sun / Qianqian Liu / Yang Wang / Mingyan Gu / Xiangyong Huang

    Molecules, Vol 28, Iss 24, p

    2023  Volume 8140

    Abstract: Hydrogen, ammonia, and methanol are typical carbon-neutral fuels. Combustion characteristics and pollutant formation problems can be significantly improved by their blending. In this paper, reactive molecular dynamics were used to investigate the ... ...

    Abstract Hydrogen, ammonia, and methanol are typical carbon-neutral fuels. Combustion characteristics and pollutant formation problems can be significantly improved by their blending. In this paper, reactive molecular dynamics were used to investigate the pollutant formation characteristics of hydrogen/ammonia/methanol blended fuel combustion and to analyze the mechanisms of CO, CO 2 , and NO X formation at different temperatures and blending ratios. It was found that heating can significantly increase blending and combustion efficiency, leading to more active oxidizing groups and thus inhibiting N 2 production. Blended combustion pollutant formation was affected by coupling effects. NH 3 depressed the rate of CO production when CH 4 O was greater than 30%, but the amount of CO and CO 2 was mainly determined by CH 4 O. This is because CH 4 O provides more OH, H, and carbon atoms for CO and CO 2 to collide efficiently. CH 4 O facilitates the combustion of NH 3 by simplifying the reaction pathway, making it easier to form NO X .
    Keywords carbon-neutral fuel ; ternary blend combustion ; NO X ; ReaxFF MD ; Organic chemistry ; QD241-441
    Subject code 290
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Parental Educational Anxiety during Children’s Transition to Primary School in China

    Qianqian Liu / Xiumin Hong / Mei Wang

    International Journal of Environmental Research and Public Health, Vol 19, Iss 15479, p

    2022  Volume 15479

    Abstract: Children’s transition from preschool to primary school has long been recognized as a particularly challenging period that can induce parental educational anxiety. As a true portraiture of Chinese parenting, educational anxiety during this transition has ... ...

    Abstract Children’s transition from preschool to primary school has long been recognized as a particularly challenging period that can induce parental educational anxiety. As a true portraiture of Chinese parenting, educational anxiety during this transition has attracted considerable attention, given its detrimental effects on children’s development and education. This study was aimed at identifying the characteristics of parental educational anxiety and its influencing factors during children’s transition to primary school in China. We examined parental educational anxiety and parental educational experience through a questionnaire survey. The sample comprised 26,295 families with children in grade one distributed across nine cities in five provinces. The results indicate that (1) Chinese parents experience some degree of educational anxiety during their children’s transition to primary school and are more worried about their children’s learning and social adaptation processes than about how the curriculum is taught; (2) scores for parental educational anxiety varied significantly across different regions and urban/rural areas; (3) family socioeconomic status, parents’ educational concepts, preschools’ entrance preparation work, and primary school enrollment adaptation work are all important factors influencing parental educational anxiety during this transition. Our findings highlight the prevalence of parental educational anxiety in China and the need for effective measures to facilitate a smooth transition.
    Keywords Chinese parents ; parental educational anxiety ; transition ; preschool ; primary school ; Medicine ; R
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Satellite Observed Spatial and Temporal Variabilities of Particulate Organic Carbon in the East China Sea

    Dongxing Chen / Lin Zeng / Katherine Boot / Qianqian Liu

    Remote Sensing, Vol 14, Iss 1799, p

    2022  Volume 1799

    Abstract: In this study, we investigate spatial and temporal variabilities of particulate organic carbon (POC) in the East China Sea (ECS) and explore the dominant influencing factors for its three subregions—coastal, continental shelf and open sea—by analyzing ... ...

    Abstract In this study, we investigate spatial and temporal variabilities of particulate organic carbon (POC) in the East China Sea (ECS) and explore the dominant influencing factors for its three subregions—coastal, continental shelf and open sea—by analyzing satellite derived POC from 2001 to 2011 after calibration against in situ samplings. The analysis reveals that the largest POC occurs in spring at the coastal region with a value of 297.5 mg m −3 , and the smallest in summer at the open sea region with a value of 108.9 mg m −3 . POC in the coastal region is dominated by biological activity related to river discharge of nutrients and organic matter, and is regulated by sediment discharge variation due to the Three Gorge Project and chemical fertilizer application along the Changjiang River watershed; the open sea region is dominated by water exchange with the Kuroshio current, which results in the highest sea surface temperature and the lowest chlorophyll and POC among the three subregions; POC in the continental shelf region is driven by the seasonal competition between the influence of the coastal ocean and the Kuroshio current through biological activity and water exchange. A method to estimate the organic matter reserve in the ECS was developed based on satellite data and in situ samplings. Organic carbon storage was estimated at 4.08 × 10 13 g, which could be used as a baseline for future estimates. An improved estimation could be found with additional in situ data and with the use of a more sophisticated algorithm for satellite POC analysis.
    Keywords MODIS ; POC ; Chl- a ; SST ; organic carbon storage ; East China Sea ; Science ; Q
    Subject code 333
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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