Institution
Xuzhou Institute of Technology
Education•Xuzhou, China•
About: Xuzhou Institute of Technology is a education organization based out in Xuzhou, China. It is known for research contribution in the topics: Catalysis & Adsorption. The organization has 1696 authors who have published 1521 publications receiving 13541 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this article, a highly active mediator (magnetic FeS@biochar, MFB) for peroxymonosulfate (PMS) activation was prepared by employing FeSO4·7H2O and poplar sawdust as the precursor, for pesticides remediation in soil and groundwater.
81 citations
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TL;DR: In this paper, the impact of food supply chain disruption on undernourished cases in selected Asian countries was examined using Generalized Methods of Moments (GMM) estimator, and two key findings were provided.
Abstract: Undernourishment and associated health issues are some mammoth challenges that the world currently faces. The poorly design food supply chain (FSC) is considered a root cause of high undernourishment cases worldwide. Since all processes and stages in a supply chain are strongly connected, a slight delay or glitch can trigger a butterfly effect resulting in significant socio-economic losses. The FSC is vital to providing human essentials and a source of bread earning; rank at the top in global industries and any disturbance results in high unemployment and leading social evils like crime and violence in society. Recognize the same; this study examines the impact of food supply chain disruption on undernourished cases in selected Asian countries. Using Generalized Methods of Moments (GMM) estimator, this study provides two key findings. First, a higher intensity of COVID-19 cases translates into higher undernourishment due to direct and indirect effects from higher stringency measures. Secondly, government financial allocations to combat COVID-19 and economic growth significantly mitigate the prevalence of undernourishment. Interestingly, a higher crime index is linked with higher undernourished cases supporting the proposition of socio-economic disorder. These results propose broad policy implications for governments, food regulatory authority, donor agencies, and Non-Governmental Organizations by strengthening the food supply chain and thus reduces undernourishment cases.
81 citations
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TL;DR: In this paper, a combined soliton equation involving three fourth-order nonlinear terms in (2+1)-dimensional dispersive waves was considered and its lump solutions via symbolic computations.
Abstract: We consider a combined soliton equation involving three fourth-order nonlinear terms in (2+1)-dimensional dispersive waves and determine its lump solutions via symbolic computations. The combined equation is transformed into a Hirota bilinear equation under a logarithmic transformation and its lump solutions are computed explicitly in two cases of the coefficients in the model. Illustrative examples are presented, together with three-dimensional plots and contour plots of two specific lump solutions.
80 citations
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TL;DR: In this paper, the authors examined the long-term determinants of carbon emissions in 19 countries of the European Union that were part of the COP: 21 and found that clean energy, technology and environmental taxes contribute to mitigating carbon emissions; however, economic activity and industrialization causes an increase in environmental degradation.
80 citations
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TL;DR: This study shows that the coal gangue modified biochar composite can not only be used to remove phosphate from wastewater, but also be used as a slow-release fertilizer, providing a new way for the phosphorus recovery and resource utilization of solid wastes.
78 citations
Authors
Showing all 1711 results
Name | H-index | Papers | Citations |
---|---|---|---|
Peng Wang | 108 | 1672 | 54529 |
Qiong Wu | 51 | 316 | 12933 |
Wenping Cao | 34 | 176 | 4093 |
Bin Hu | 30 | 213 | 3121 |
Syed Abdul Rehman Khan | 29 | 131 | 2733 |
Jingui Duan | 29 | 93 | 3807 |
Vivian C.H. Wu | 25 | 105 | 2566 |
Lei Chen | 16 | 99 | 1062 |
Chao Wang | 16 | 74 | 741 |
Wenbin Gong | 16 | 27 | 953 |
Jing Li | 16 | 40 | 1025 |
Chao Liu | 15 | 43 | 737 |
Qinglin Wang | 14 | 72 | 595 |
Yaocheng Zhang | 14 | 54 | 566 |
Chao Wang | 13 | 25 | 774 |