Wyniki wyszukiwania

1

Decomposition analysis of energy efficiency in China’s Beijing-Tianjin-Hebei region

100%

Li W., Zhang H.

Polish Journal of Environmental Studies

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2017

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tom 26

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nr 1

This manuscript first gives a separate decomposition analysis on the factors that affect regional energy efficiency in Beijing, Tianjin, and Hebei, China, during 2005-12 based on the logarithmic mean divisia index (LMDI) model, and then makes an in-depth investigation on impact factors in the Beijing-Tianjin-Hebei (BTH) region of China. Energy efficiency is decomposed into carbon productivity, carbon emission coefficient, energy structure, energy intensity, economic output, and reciprocal effect of per capita energy consumption. Different impact factors in various areas have diverse influences on energy efficiency due to the evident regional differences in Beijing, Tianjin, and Hebei. On the whole, the primary positive driver of energy efficiency is the economic output in the BTH region, followed by carbon productivity, carbon emission coefficient, and energy structure. However, energy intensity and the reciprocal effect of per capita energy consumption are the major inhibitory factors. Finally, we emphasize a series of policy implications to speed up the achievement of China’s 12th Five-Year Plan goal. It also has the vital practical significance of carrying out energy policy and a low-carbon economic development strategy in the BTH region in the future.

2

Simulation on vessel intelligent collision avoidance based on artificial fish swarm algorithm

100%

Li W., Ma W.

Polish Maritime Research

|

2016

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tom 23

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nr Special Issue S1

TAs the rapid development of the ship equipments and navigation technology, vessel intelligent collision avoidance theory was researched world widely. Meantime, more and more ship intelligent collision avoidance products are put into use. It not only makes the ship much safer, but also lighten the officers work intensity and improve the ship’s economy. The paper based on the International Regulation for Preventing Collision at sea and ship domain theories, with the ship proceeding distance when collision avoidance as the objective function, through the artificial fish swarm algorithm to optimize the collision avoidance path, and finally simulates overtaking situation, crossing situation and head-on situation three classic meeting situation of ships on the sea by VC++ computer language. Calculation and simulation results are basically consistent with the actual situation which certifies that its validity

3

Research on intelligent avoidance method of shipwreck based on bigdata analysis

100%

Li W., Huang Q.

Polish Maritime Research

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2017

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tom 24

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nr Special Issue S3

In order to solve the problem that current avoidance method of shipwreck has the problem of low success rate of avoidance, this paper proposes a method of intelligent avoidance of shipwreck based on big data analysis. Firstly,our method used big data analysis to calculate the safe distance of approach of ship under the head-on situation, the crossing situation and the overtaking situation.On this basis, by calculating the risk-degree of collision of ships,our research determined the degree of immediate danger of ships.Finally, we calculated the three kinds of evaluation function of ship navigation, and used genetic algorithm to realize the intelligent avoidance of shipwreck.Experimental result shows that compared the proposed method with the traditional method in two in a recent meeting when the distance to closest point of approach between two ships is 0.13nmile, they can effectively evade.The success rate of avoidance is high

4

Assessment framework of provincial carbon emission peak prediction in China: an empirical analysis of Hebei Province

100%

Li W., Du L.

Polish Journal of Environmental Studies

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2019

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tom 28

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nr 5

Since China claimed to achieve carbon emission peak around 2030 in the “China-U.S. Joint Presidential Statement on Climate Change,” whether or not the target can be accomplished has become the focus of discussion. Thus, the aim of this study is to forecast the carbon emissions peak of Hebei Province in China (as a case study) for the period of 2016-2030 through the historical data of 1990-2015 using the STIRPAT model and GA-BP (BP neural network based on genetic algorithm) model. We choose the proportion of coal consumption, population, urbanization rate, energy intensity, per capita GDP (replaced by GDP in the GA-BP model) and the proportion of services as the independent variables, and set 9 scenarios in the light of different increment speeds of these variables during 2016-2030. Results show that the ranges of estimated carbon emission peaks are 784.1635-1,007.2901 million tons in the STIRPAT model and 702.7465- 702.8144 million tons in the GA-BP model, with corresponding peak years all in or before 2030. Moreover, a comparative study of the STIRPAT and GA-BP models reveals that the GA-BP model estimates carbon emissions more accurately than STIRPAT; however, the STIRPAT model is more precise on the prediction of carbon emission peak years.

5

Study of bioretention system on heavy-metal removal effect

81%

Liu Z., Li J., Li Y., Li W.

Polish Journal of Environmental Studies

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2018

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tom 27

|

nr 1

Bioretention is a typical low-impact development (LID) technology. This work used four different filler combinations of bioretention tank pilot test devices. Experiments on influence factors and intermittent operation were conducted. A continuous-run experiment was also performed to determine the purification ability of bioretention system on heavy metals. Results showed that the removal efficiency of heavy metals by fly ash tank was the most efficient, with a removal rate reaching 85.57%. The removal effect on highinfluent concentrations in filter was better than that in low-influent concentrations. With increased rainfall time intervals (antecedent dry time), heavy-metal removal efficiency improved. Temperature did not affect the removal efficiency of heavy metals on the whole based on the long duration of intermittent operation experiments. Moreover, the effluent heavy-metal concentration presented a descending trend during each simulation rainfall runoff event. During continuous operation test, heavy metals did not reach the exhaustion point in the experimental tanks, while the effluent concentration increased with increased water volume. According to PLS regression analysis, rainfall time interval was the most important factor affecting Zn removal rate, followed by filler characteristics, influent volume, and influent concentration.

6

Short-term power load forecasting based on a combination of VMD and ELM

81%

Li W., Quan C., Wang X., Zhang S.

Polish Journal of Environmental Studies

|

2018

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tom 27

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nr 5

Accurate short-term power load forecasting is becoming more and more important for the stable operation and improved economic benefits of electric power systems. However, when affected by various factors the power load shows non-linear and non-stationary characteristics. In order to forecast power load precisely, we propose an extreme learning machine (ELM) combined with variational mode decomposition (VMD), as a new hybrid time series forecasting model. In the first stage, since decomposed modes and hidden layer nodes have great influence on prediction accuracy, a three-dimensional relationship has been established to determine them in advance. In the second stage, using VMD, the time series of power load is decomposed into predetermined modes that are then used to construct training parts and forecast outputs. Then every individual mode is taken as an input data to the ELM. Eventually, in the third stage, the final forecasted power load data is obtained by aggregating the forecasting results of all the modes. To testify the forecasting performance of the proposed model, a five-minute power load data in Hebei of China is used for simulation, and comprehensive evaluation criteria is proposed for quantitative error evaluation. Simulation results demonstrate that the proposed model performs better than some previous methods.

7

Use of chromosome walking in discovery of single-nucleotide polymorphism in noncoding regions of a candidate actin gene in Pinus radiata

81%

Li W., Li H., Wu H., Chen X.-Y.

Journal of Applied Genetics

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2010

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tom 51

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nr 3

Untranslated regions (UTRs) of eukaryotic mRNAs plav crucial roles in post-transcriptional regulation of gene expression via the modulation of nucleocytoplasmic mRNA transport, translation efficiency, subcellular localization, and message stability. Single-nucleotide polymorphisms (SNPs) in UTRs of a candidate gene may also change the post-transcriptional regulation of a gene or function by nucleotide mutation. For species that have not been entirely sequenced genomically, new methods need to be devised to discover SNPs in noncoding regions of candidate genes. In this study, based on the expressed sequence tag (EST) of Pinus radiata (Monterey pine), we obtained all the sequences of UTRs of the actin gene by using a chromosome walking method. We also detected all the SNPs in and around the coding region of the actin gene. In this way, the full genomie sequence (2154 bp) of the actin gene was identified, including the 5'UTR, introns, the coding sequence, and the 3'UTR. PCR amplification and DNA fragment sequencing from 200 unrelated P. radiata trees revealed a total of 21 SNPs in the actin gene, of which 3 were located in the 5'UTR, 3 in the introns, 10 in the coding sequence, and 5 in the 3'UTR. We show that chromosome walking can be used for obtaining the sequence of UTRs, and then, based on this sequence, to discover SNPs in the noncoding regions of candidate genes from this species without an entire genomic sequence.

8

The Impact of energy de-subsidization policy in 2030: a dynamic CGE model in China

81%

Li W., Zhang H., Zhang S.

Polish Journal of Environmental Studies

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2019

|

tom 28

|

nr 4

The issues of energy shortage and environmental pollution caused by energy subsidies are more serious in a massive energy-consuming country like China. Since the Group of 20 summit meeting on September 4, 2016, government leaders have confirmed that they will phase out inefficient fossil fuel subsidies. In this paper, we construct a computable general equilibrium model to analyze the impact of different de-subsidization policies based on possible reduction targets, mitigation routes, and reform periods. The results show that a nonlinear tendency in gross domestic product will emerge with the increasing intensity of de-subsidization targets. Moreover, there is a general macroeconomic recession both in output and consumption, where the prices have generally increased. The results also show that various mitigation routes of de-subsidization policy are slightly significant economically. However, the total removal of energy subsidy in one year will obtain an opposite conclusion with better social welfare and gross domestic product, but more carbon emissions and energy consumption. Overall, a medium target (50-90%) with an average reduction during 2010-2030 could be more suitable for China.

9

Expression analysis and functional characterization of a cold-responsive gene COR15A from Arabidopsis thaliana

81%

Liu D., Li W., Cheng J., Hou L.

Acta Physiologiae Plantarum

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2014

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tom 36

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nr 09

The cold-responsive (COR) genes play an important role in cold acclimation of higher plants. Here, a tight correlation between chloroplast functionality and COR15A expression, and the functional characterization of Arabidopsis COR15A involved in salt/osmotic stress, were revealed. COR15A gene is light inducible and expressed in light-grown seedlings. The expression level of COR15A was reduced when chloroplasts were damaged by norflurazon treatment. By using several albino mutants, seca1, secy1, and tic20, all of which exhibited severe defects in both structure and function of chloroplast, it was shown that the accumulation of COR15A mRNA depends on chloroplast functionality. Real-time RT-PCR and GUS-staining assays demonstrated that COR15A was induced by salt/osmotic stress partially via ABA. Overexpression of COR15A in Arabidopsis resulted in the seedlings displaying hypersensitivity to salt/osmotic stress. All these results suggest that plant acquire the ability to fully express COR15A only after the development of functional chloroplasts, COR15A may be involved in response to salt/ osmotic stress during early stages of plant development.

10

Invasion of Descurainia sophia [L.] [Cruciferae] in Alpine meadow is enhanced by ground disturbance made by Myospalax fontanierii [Milne-Edwards]

81%

Li W., Zhang Y., Wang Y.

Polish Journal of Ecology

|

2009

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tom 57

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nr 2

389-393

Because of cold weather and extremely harsh environment, there is few exotic species in Qinghai-Tibetan Plateau. Plateau zokor (Myospalax fontanierii), dominant borrowing small mammal, plays a role as ‘ecosystem engineer’ in alpine meadow ecosystem. We measured and compared the dispersion area, branches, height and number of branches of flixweed tansymustard (Descurainia sophia) on the area disturbed by zokor mounds and in the undisturbed alpine meadow. Flixweed tansymustard is cool-season annual or biennial typical farmland weed in China, and is not found in alpine meadow before. The results indicated that zokor mounds significantly increased the dispersion area, number of individuals in each dispersion area, height and number of branches of flixweed tansymustard on the area disturbed by zokor mounds compared to those in undisturbed alpine meadow. These results suggest that ecosystem engineering by native species of rodent could promote the invasions of alien plant species in alpine meadow ecosystem, leading to higher abundances of invaders.

11

The port service ecosystem research based on the Lotka-Volterra model

81%

Li W., Liu W., Xu X., Gao Z.

Polish Maritime Research

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2017

|

tom 24

|

nr Special Issue S3

Under the new normal of China’s economy, the competition among the port enterprises is not only the competition of the core competence of the port, the port industry chain or the port supply chain, but also the competition of the port service ecosystem. In this paper, the concept and characteristics of the port service ecosystem is discussed, a hierarchical model of the port service ecosystem is constructed. As an extended logistic model, Lotka-Volterra model is applied to study the competitive co-evolution and mutually beneficial co-evolution of enterprises in the port service ecosystem. This paper simulates the co-evolution of enterprises in the port service ecosystem by using MATLAB programming. The simulation results show that the breadth of the niche of the enterprises is changing with the change of the competition coefficient and the coefficient of mutual benefit in the port service ecosystem. Based on that, some proposals are put forward to ensure the healthy and orderly development of the port service ecosystem

12

Effects of seed mass and light on seedling success in Artemisia sieviersiana Willd in the Tibetan Plateau

81%

Wu G.-L., Li W., Du G.-Z.

Polish Journal of Ecology

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2010

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tom 58

|

nr 3

Seed mass and light availability are important factors which affect seedling recruitment in plant populations. Effects of seed mass and light availability on seed germination and seedling recruitment in Artemisia sieversiana Willd, which is a widely distributed herbs and a common component species in alpine meadows of the Tibetan Plateau, were tested in a manipulative field experiment. Our research indicated that seed mass and light significantly affected seed germination and seedling emergence and survival and there was a significant interaction effect between seed mass and light availability on these life traits within species. Our study showed that larger seeds presented significant advantages in germination, seedling emergence and survival than smaller seeds under different light availability, especially under deep shade. Our results suggested that seedling success of Artemisia sieversiana appears to be regulated by an interactive effect of seed mass and light availability in alpine meadow of the Qinghai-Tibetan Plateau. In addition, seedlings from larger seeds have more and more stronger advantages from germination, emergence to survival stage than seedlings from smaller seed within species.

13

A new six-DoF parallel mechanism for captive model test

81%

Lu Y., Wu J., Li W., Wu Y.

Polish Maritime Research

|

2020

|

tom 27

|

nr 3

14

Analyzing and predicting CO2 emissions in China based on the LMDI and GA-SVM model

81%

Zhou J., Yu X., Guang F., Li W.

Polish Journal of Environmental Studies

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2018

|

tom 27

|

nr 2

With the effect of CO₂ emissions being the primary cause of the greenhouse effect, a selection and analysis study of driving factors of CO₂ emissions is vital to controlling growth from the source. This paper decomposes CO₂ emissions based on the logarithmic mean division index (LMDI) from three industries and residential consumption in China during the period 2000-14. A genetic algorithm-support vector machine (GA-SVM) was established. The eight driving factors as input variables have been innovated to apply the forecasting model. In the case study, the data set of driving factors from 2000 to 2009 is selected as training samples, and the other data set of driving factors from 2010 to 2014 is regarded as test samples. The results show that the factor decomposed based on the LMDI method of CO₂ emissions is very rational and can greatly improve forecast accuracy. The effectiveness of the GA-SVM model has been proven by the final simulation, which indicates that the proposed model outperforms a back propagation neural network (BPNN) model and a single SVM model in forecasting CO₂ emissions.

15

Rhamnetin ameliorates macrophage-mediated inflammation and pro-atherosclerosis pathways in apolipoprotein E-deficient mice

81%

Wang M., Wu Y., Li W.

Journal of Physiology and Pharmacology

|

2021

|

tom 72

|

nr 2

16

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The effect of priming on germination and vigour of pansy (Viola x wittrockiana Gams.) seeds

81%

Dorna H., Li W., Szopinska D.

Acta Scientiarum Polonorum. Hortorum Cultus

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2014

|

tom 13

|

nr 6

Three seed priming techniques: hydropriming, halopriming and osmopriming, were compared for their effects on germination and vigour of pansy (Viola × wittrockiana Gams.) seeds at 20°C, 30°C and 35°C. Seeds were hydroprimed in the restricted volumes of water (600 and 700 μl H2O·g seed-1, 2, 3 or 4 days), haloprimed in KNO3 solution (-1.5 MPa, 5 days), and osmoprimed in polyethylene glycol solutions (-1.0, -1.25 or -1.5 MPa PEG 8000, 7 days) at 15°C or 20°C. Seed germination and vigour tests were performed for untreated and primed seeds. Generally, hydropriming negatively affected the speed of germination, the percentage of germinating seeds and germination capacity. Halopriming accelerated seed germination at 20°C, 30°C and 35°C but did not influence the percentage of germinating seeds and germination capacity. Osmopriming of seeds in PEG solution of osmotic potential –1.0 MPa at 20°C not only improved germination rates at 20°C, 30°C, and 35°C to the highest extent, but also increased percentage of germinating seeds at 30°C and 35°C most effectively and positively affected seed germination capacity at 20°C and 30°C.

17

Toxicity evaluation of antibiotics in piggery wastewater by luminescent bacteria

81%

Sun J., Li W., Zheng P., Zhu J.

Polish Journal of Environmental Studies

|

2012

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tom 21

|

nr 3

Antibiotics, as special pollutants in piggery wastewater, have negative effects on wastewater treatment processes. However, it is difficult to obtain a clear understanding of the toxic potency of antibiotics using the common inhibitory experiments of wastewater because of their low concentrations. Therefore, this study for the first time reports research on examining the toxic strength of piggery wastewater containing antibiotics by acute toxicity experiments using luminescent bacteria. Also reported herein for the first time were the mixed toxic effects of different antibiotics on luminescent bacteria using orthogonal experimental designs. Results showed that piggery wastewater had high ecotoxicity equal to 24.6 mg∙L⁻¹ HgCl₂, and the toxicity units (TU) of Chlortetracycline, amoxicillin, florfenicol, and sulfamethazine (SM₂) were 85.5, 64.72, 1.27, and 1.20, respectively, which fell under high or significant ecotoxicity according to the Toxicity Classification System (TCS). The IC₁₀ values indicated that the antibiotics could impose single or mixed toxic effects on luminescent bacteria even in trace concentrations. Among these antibiotics, Chlortetracycline was the most significant one needing more attention in the treatment of wastewater-containing antibiotics.

18

Association of the LXRalpha gene with meat quality trains in White Muscovy ducks

81%

Zhang Y., Li W., Pan L., Lin J.

Animal Science Papers and Reports

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2015

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tom 33

|

nr 4

Liver X receptor alpha (LXRα) is a nuclear receptor that plays a crucial role in regulating the expression of genes involved in lipid metabolism. The objectives of this study were to detect polymorphism of the LXRα gene and investigate its association with meat quality traits in the White Muscovy duck (n=230). One 53 G>A single nucleotide polymorphism (SNP) and one 1483 T>- insertion/deletion were first identified in 5’-UTR and 3’-UTR, respectively. 53 G>A and 1483 T>- were genotyped and analyzed using the PCR-SSCP method. There were two alleles and three genotypes in each locus. Association analysis revealed that the 53 G>A genotypes were significantly associated with intramuscular fat (IMF), contents of polyunsaturated (PUFA) and unsaturated fatty acids (UFA) (P<0.05). The 1483 T>- genotypes were significantly related (P<0.05) to water holding capacity. Interactions of 53 G>A and 1483 T>- loci of the LXRα gene were significantly associated with shear force, IMF, UFA, PUFA and essential fatty acids (EFA) (P<0.05). These results suggested that the 53 G>A and 1483 T>- mutations of the LXRα gene are potential gene markers for White Muscovy meat quality. Therefore, they may be used in the marker-assisted selection (MAS) in breeding work on Muscovy ducks.

19

Identification of genes differentially expressed during embryogenesis in Brassica campestris L.

81%

Li W., Zhao Q., Tao P., Wang J.

Acta Physiologiae Plantarum

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2012

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tom 34

|

nr 2

Gene expression in embryogenesis of Brassica campestris L. is analyzed using cDNA-AFLP technique. The whole embryogenesis was divided into six embryonic stages. In total, 4,267 bands were obtained from embryogenesis of B. campestris L. A total of 216 transcriptderived fragments (TDFs), differentially expressed in six stages of embryogenesis, were selected for sequencing. By searching BLASTN and BLASTX, most of 204 TDFs were homologous to Arabidopsis thaliana and Brassica napus sequences, and the rest of the 12 TDFs did not match with other plants’ genes. As a result, 178 TDFs are matched with genes encoding either known or putative proteins in higher plants, and 26 TDFs are homologous to unknown genes. Besides, a selected subset of differentially expressed TDFs is confirmed by RT-PCR, and relative transcript abundance of TDFs was shown. Some embryo-specific genes are expressed in embryogenesis of B. campestris. Expression profiles of many TDFs show similarity to those of the relevant Arabidopsis genes. The potential roles of these genes in embryo development are discussed.

20

FE65: roles beyond amyloid precursor protein processing

81%

Chow W. N. V., Cheung H. N. M., Li W., Lau K.-F.

Cellular and Molecular Biology Letters

|

2015

|

tom 20

|

nr 1

Ograniczanie wyników

Decomposition analysis of energy efficiency in China’s Beijing-Tianjin-Hebei region

Simulation on vessel intelligent collision avoidance based on artificial fish swarm algorithm

Research on intelligent avoidance method of shipwreck based on bigdata analysis

Assessment framework of provincial carbon emission peak prediction in China: an empirical analysis of Hebei Province

Study of bioretention system on heavy-metal removal effect

Short-term power load forecasting based on a combination of VMD and ELM

Use of chromosome walking in discovery of single-nucleotide polymorphism in noncoding regions of a candidate actin gene in Pinus radiata

The Impact of energy de-subsidization policy in 2030: a dynamic CGE model in China

Expression analysis and functional characterization of a cold-responsive gene COR15A from Arabidopsis thaliana

Invasion of Descurainia sophia [L.] [Cruciferae] in Alpine meadow is enhanced by ground disturbance made by Myospalax fontanierii [Milne-Edwards]

The port service ecosystem research based on the Lotka-Volterra model

Effects of seed mass and light on seedling success in Artemisia sieviersiana Willd in the Tibetan Plateau

A new six-DoF parallel mechanism for captive model test

Analyzing and predicting CO2 emissions in China based on the LMDI and GA-SVM model

Rhamnetin ameliorates macrophage-mediated inflammation and pro-atherosclerosis pathways in apolipoprotein E-deficient mice