14,157 research outputs found

    Energy efficiency convergence across countries in the context of China's Belt and Road initiative

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    © 2018 Elsevier Ltd After China launched its “Belt and Road” (BR) initiative, the international community became concerned that it may worsen the environmental performance of the BR countries. Due to a lack of data for empirical testing, this paper addresses this concern through an indirect method and draws the implications of the potential impacts of China's BR initiative. This method empirically examines the effects of trade integration and regional cooperation, two major functions of the BR initiative, on energy efficiency (EE) convergence, a concept that describes the catching up process of EE across countries. A sample of 89 countries was selected to analyse the process of EE convergence from 2000 to 2014. The results indicate that although the gaps in EE among countries around the world become larger after 2010, regional cooperation may lead to a convergence process. It also finds that trade integration has a positive influence on convergence across the countries, especially among middle- and low-income countries. The results suggest that the BR initiative, through its roles in trade integration and regional cooperation, may promote EE convergence among countries. This is a desirable environmental outcome. This research also provides policy implications for both China and the other BR countries

    Application of high-resolution melting for variant scanning in chloroplast gene atpB and atpB-rbcL intergenic spacer region of Crucifer species

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    High-resolution melting (HRM) analysis is a rapid and sensitive method for single nucleotide polymorphism (SNP) analysis. In this study, a novel HRM assay was carried out to detect SNPs in the chloroplast gene atpB which encodes the beta subunit of the ATP synthase and atpB upstream intergenic region. The polymorphisms of the two fragments in intertribal samples from the Cruciferae family and within the species of Brassica napus were detected. Based on this results, we found that HRM were able to determine over 90% of the variants which included single or multiple variants and insertion-deletion polymorphisms (INDELs) and rendered possible genotyping of more closely spaced polymorphisms, although there were several false positives (FPs) and misclassification. Six haplotypes were identified in the intertribal materials. The analysis of 90 B. napus found five variation types and the variations were all located in the intergenic region. In conclusion, HRM analysis is a closed tube assay that is easy to perform and is a more effective approach to identify variant of chloroplast genes. This study will facilitate further functional investigations into the role of chloroplast genes in photosynthesis, phylogeny and molecular evolution.Key words: atpB gene, chloroplast genome, crucifer, high-resolution melt curve analysis, SNP, INDEL

    Optimal manufacturing/remanufacturing policies with fixed investment for the underdeveloped remanufacturing system

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    © 2017, Strojarski Facultet. All rights reserved. In an underdeveloped remanufacturing system, poor infrastructure and low technical level impede further development of remanufacturing. To overcome this obstacle, a huge amount of fixed investment is required to improve the remanufacturing system. However, this investment inevitably influences the manufacturer’s manufacturing/remanufacturing decision-making economically. The relationship between fixed investment and recycling ratio was investigated, and the two- and multi-period manufacturing/remanufacturing mixed optimization models were developed. Based on the Karush-Kuhn-Tucker (KKT) conditions, the optimal manufacturing/remanufacturing and fixed investment policies were obtained in closed-form expressions. Moreover, the influences of the fixed investment were analysed. Results show that the optimal policies are significantly influenced by the degree of underdevelopment of the remanufacturing system. When the remanufacturing system is underdeveloped, the manufacturer shows a lack of enthusiasm in remanufacturing, thereby resulting in the decrease of the investment and the recycling ratio. The manufacturer raises the sale price to alleviate the loss caused by fixed investment, but the total manufacturing quantity and profit decrease. In the multi-period case, the manufacturer gradually increases the investment for continuously improving the remanufacturing system to increase the recycling ratio and obtain additional profits from remanufacturing. The proposed models can effectively provide the reference for determining the reasonable manufacturing/remanufacturing and fixed investment policies in the underdeveloped remanufacturing system

    Differential Evolution-based 3D Directional Wireless Sensor Network Deployment Optimization

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    Wireless sensor networks (WSNs) are applied more and more widely in real life. In actual scenarios, 3D directional wireless sensors (DWSs) are constantly employed, thus, research on the real-time deployment optimization problem of 3D directional wireless sensor networks (DWSNs) based on terrain big data has more practical significance. Based on this, we study the deployment optimization problem of DWSNs in the 3D terrain through comprehensive consideration of coverage, lifetime, connectivity of sensor nodes, connectivity of cluster headers and reliability of DWSNs. We propose a modified differential evolution (DE) algorithm by adopting CR-sort and polynomial-based mutation on the basis of the cooperative coevolutionary (CC) framework, and apply it to address deployment problem of 3D DWSNs. In addition, to reduce computation time, we realize implementation of message passing interface (MPI) parallelism. As is revealed by the experimentation results, the modified algorithm proposed in this paper achieves satisfying performance with respect to either optimization results or operation time
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