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1

Using a geographically weighted regression model to explore the influencing factors of CO2 emissions from energy consumption in the industrial sector

100%
Wu R., Zhang J., Bao Y., Tong S.
Polish Journal of Environmental Studies
|
2016
|
tom 25
|
nr 6
This study presents the methodology as well as a quantitative analysis of the influence of social and economic factors, namely GDP, population, economic growth rate, urbanization rate, and industrial structure on CO2 emissions as a result of energy consumption in the 101 counties of Inner Mongolia’s industrial sector based on a geographically weighted regression model (GWR) and geographical information systems (GIS) from the perspectives of energy and environmental science. The results show significant differences in the measured CO2 emission levels among different counties. Utilizing the GWR method (which was tested on the smallest scale that has been published thus far), the relationship between CO2 emissions and these five explanatory variables produced an overall model fit of 99%. The GWR results showed that the parameters of variables in the GWR varied spatially, suggesting that the influencing factors had different effects on the CO2 emissions among the various counties. Overall, population, GDP, and urbanization rates positively affect CO2 emissions, industrial structure, and economic growth rate, and affect CO2 emissions both positively and negatively. We also characterize the fact that varying industrial structures and economic growth rates result in different effects on the CO2 emission of various regions.
2

Regional distribution of carbon intensity and its driving factors in China: an empirical study based on provincial data

100%
Wu R., Dong J., Zhou L., Zhang L.
Polish Journal of Environmental Studies
|
2018
|
tom 27
|
nr 3
The regional distribution and driving factors of total carbon emissions have been the focus of considerable research. However, carbon intensity rather than total carbon emissions has been selected as the emissions reduction index in China. The Chinese government has committed to reducing carbon intensity by 60-65% from 2005 levels. Currently, limited academic attention has been given to the regional distribution and driving factors of carbon intensity. To explore the means of achieving the carbon intensity target in China, Gini coefficients were employed in this paper to investigate regional differences in carbon intensity across 30 provinces from 1995 to 2014. Moreover, the FGLS (feasible generalized least squares) method was applied to identify the key influencing factors of carbon intensity at the national and three regional levels. The results indicate that: 1. Chinese inter-provincial Gini coefficients of carbon intensity have increased steadily in recent years, which indicates that the difference in carbon intensity between provinces in China has widened. 2. Economic growth, foreign direct investment, and trade openness were negatively correlated with carbon intensity. Conversely, coal consumption, industrial proportion, and urbanization were positively correlated with carbon intensity. Moreover, urbanization has proven to be the most important factor affecting China’s carbon intensity. 3. The dominant cause of carbon intensity varies by region. In particular, the dominant cause of carbon intensity in low- and medium-level regions is urbanization. However, the dominant cause of carbon intensity in high-level regions is coal consumption. 4. Based on these empirical findings, policy recommendations to reduce carbon intensity were proposed. In summary, the improvement of urbanization quality in both low- and medium-level regions is urgently needed. However, optimizing the energy structure is essential to carbon intensity reduction in high-level regions.
3

Sustainable development study on an energy-economic-environment system based on a vector autoregression model in Shanxi, China

100%
Cui H., Wu R., Zhao T.
Polish Journal of Environmental Studies
|
2019
|
tom 28
|
nr 3
The coordination of an energy-economic-environment (3E) system has attracted increasing attention recently to achieve sustainable development. Shanxi Province, a typical energy-dominated region in China, has long-term dependency on coal industry generating extensive economic growth, which is detrimental to sustainable progress. Therefore, it is beneficial to explore the intrinsic connection of the 3E system in Shanxi for policy implications. Based on energy consumption, GDP and energy-related CO₂ emissions from 1999 to 2015, a VAR model of the 3E system in Shanxi was established. Impulse response analysis and variance decomposition were employed to analyze the dynamic relationship between energy, economy, and the environment, with these three values being predicted from 2016 to 2023. Results indicate that a positive shock in economic growth negatively impacts energy consumption, and a positive change in energy consumption positively affects economic growth and CO₂ emissions as well. From variance decomposition, the innovation to energy consumption accounts for fluctuation of 82.29% in GDP in the long run, and CO₂ emissions attributed to innovations in energy consumption range 64.53% to 77.68%. VAR model forecasts there will be an increasing tendency of energy consumption, GDP, and CO₂ emissions. Accordingly, Shanxi can achieve sustainable development through vigorously optimizing energy structure and promoting low-carbon technological innovation.
4

Identification of genes associated with fruit ripening in Ziziphus jujuba using suppression subtractive hybridization approach

88%
Lin X., Yao L., Li Y., Wu R., Pang X.
Acta Physiologiae Plantarum
|
2013
|
tom 35
|
nr 06
Owing to the high nutritional value and extensive medicinal use of its products, Chinese jujube (Ziziphus jujuba Mill) is one of the most important fruit crops in China. However, jujube fruits are highly perishable and thus have a short shelf life, which is a serious hindrance to the industry. Better understanding of the molecular mechanisms underlying jujube fruit softening is fundamental to overcome the problem. Thus, both forward and reverse suppression subtractive hybridization (SSH) cDNA libraries were constructed to identify differentially expressed genes for fruit at half-red ripening stage and complete red stage. As a result of dot blot confirmation, a total of 154 differentially expressed genes were identified. After removed low-quality regions and screened for vector contamination, blasted with the non-redundant NCBI databases, 78.6 % of sequences exhibited high homology to previously identified or putative proteins. All the ESTs were annotated and classified according to the terms of the three main Gene Ontology vocabularies using the Blast2GO software. Furthermore, the quantitative real-time PCR was carried out for 17 genes to validate the genes differentially expressed from the SSH libraries. And the full-length sequences of galactose oxidase and aldehyde dehydrogenase genes were obtained. It is the first step to explore the functional genomics and regulatory networks during the storage period of jujube fruit. The identification of the genes differentially expressed is helpful to understand the ripening and softening of the jujube fruit at the molecular level.
5

Nutrient uptake and allocation by plants in recent mounds created by subterranean rodent, plateau zokor Eospalax baileyi

76%
Wu R., Wei X., Liu K., Zhong M., Liu Y., Pan D., Shao X.
Polish Journal of Ecology
|
2017
|
tom 65
|
nr 1
To understand the nutrient absorption and adaptability of plant species that initially colonize mounds and the influences of the plateau zokor on the diversity of the plant community after 4 years' period, a series of experiments was conducted in an alpine meadow on the Qinghai-Tibetan Plateau. The contents of C and N and the flow of N in pioneer species were measured and tracked using the ¹⁵N isotope tracer method, and the species diversity on 4-year-old mounds was investigated. The results showed that (1) plateau zokors could influence the plant species on the mounds by creating gaps in the grassland; (2) Elymus nutans and Elsholtzia feddei, with high rates and efficiencies of nutrient absorption and transportation, were more competitive on the newly formed mounds than other species; (3) Elymus nutans played a dominant role in the plant community of the mounds; and (4) plateau zokors did not change the plant diversity after 4 years' period. These findings indicated that species colonizing the mounds experienced a process of competition when gaps were created by the rodents, that species with greater capabilities for resource acquisition and utilization had stronger competitiveness and vice versa, and that after a few years, the plant diversity on the mounds was almost similar to that of the undisturbed grassland.
6

Therapeutic effects of revascularisation on the healing of free bone grafts in dogs

76%
Zheng J.-S., Ruan H.-R., Qiu S., Nie J., Hou K.-W., Wu R.
Journal of Veterinary Research
|
2020
|
tom 64
|
nr 1
7

Serum metabolomic analysis of feline mammary carcinomas based on LC-MS and MRM techniques

76%
Zheng J.-S., Wei R.-Y., Wang Z., Song J., Ge Y.-S., Wu R.
Journal of Veterinary Research
|
2020
|
tom 64
|
nr 4
8

Screening of early diagnostic markers of gentamicin-induced acute kidney injury in canines

76%
Zheng J.-S., Nie J., Zhu T.-T., Ruan H.-R., Wei X., Wu R.
Journal of Veterinary Research
|
2019
|
tom 63
|
nr 3
9

Drought enhanced the allelopathy of goldenrod on the seed germination and seedling growth performance of lettuce

76%
Wu R., Wu B., Cheng H., Wang S., Wei M., Wang C.
Polish Journal of Environmental Studies
|
2021
|
tom 30
|
nr 1
10

Leaf morphology shift of three dominant species along altitudinal gradient in an Alpine meadow of the Quinghai - Tibetan Plateau

64%
Zhong M., Wang J., Liu K., Wu R., Liu Y., Wei X., Pan D., Shao X.
Polish Journal of Ecology
|
2014
|
tom 62
|
nr 4
It has been observed that leaf morphology shift within species is linked to climate change, but there are few studies on the effects of altitude change on leaf morphology of species. We hypothesized that similar to climate change, a morphological shift within species would occur over time under different growing altitudes. In this study, we evaluated three dominant grass species: Elymus nutans Griseb., Kobresia capillifolia Clarke., Carex moorcroftii Boott., taking advantage of the altitudinal variations (3000-4000 a.s.l.) on the Qinghai-Tibetan Plateau. Our study showed that almost all leaf traits of these three species had significant differences (P <0.05) across an altitudinal gradient. Different species responded differently to altitude change. Leaf thickness (LT) of the three species increased with increase in altitude. Leaf area (LA) of E. nutans and C. moorcroftii decreased with increasing altitude, but that of K. capillifolia increased. There was no obvious linear effect on leaf dry matter content (LDMC) and specific leaf area (SLA) of these three species. LDMC of E. nutans and C. moorcroftii showed a trend of increase, while that of K. capillifolia decreased. SLA of E. nutans and K. capillifolia showed a trend of increase, but that of C. moorcroftii decreased with increase in altitude. In addition, soil pH (pH) and air temperature (AT) decreased with increase in altitude. However, other soil and climate factors increased as altitude increased. The finding of this work is that leaf morphology shift within species happens under altitude change to adapt to specific environment.
11

Upregulation of miR-340-5p reverses cisplatin sensitivity by inhibiting the expression of CDK6 in HepG2 cells

64%
Tian S., Liu Z., Zhou Q., Wu R., Huang X., Liang Z., Zhang Z., Tian X.
Folia Biologica
|
2021
|
tom 69
|
nr 2
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