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Removal of sulfur element from high-sulfur coal by superconducting HGMS technology
Shuai-shuai Han,Su-qin Li,Rui-ming Yang,Chang-qiao Yang,Yi Xing 한국초전도.저온공학회 2019 한국초전도저온공학회논문지 Vol.21 No.2
Coal is the most abundant fossil fuel on Earth and is used in a wide range of applications. The direct combustion of high-sulfur coal produces a large amount of sulfur dioxide, which is a toxic and corrosive gas. A new superconducting high gradient magnetic separation (HGMS) technology was studied to remove sulfur from high sulfur coal. The magnetic separation concentrate was obtained under the optimum parameters, such as a particle size of -200 mesh, a magnetic field strength of 2.0 T, a slurry concentration of 15 g/L, and a slurry flow rate of 600 ml/min. The removal rate of sulfur is up to 59.9%. The method uses a magnetic field to remove sulfur-containing magnetic material from a pulverized coal solution. It is simple process with, high efficiency, and is a new way.
Removal of sulfur element from high-sulfur coal by superconducting HGMS technology
Han, Shuai-shuai,Li, Su-qin,Yang, Rui-ming,Yang, Chang-qiao,Xing, Yi The Korea Institute of Applied Superconductivity a 2019 한국초전도저온공학회논문지 Vol.21 No.2
Coal is the most abundant fossil fuel on Earth and is used in a wide range of applications. The direct combustion of high-sulfur coal produces a large amount of sulfur dioxide, which is a toxic and corrosive gas. A new superconducting high gradient magnetic separation (HGMS) technology was studied to remove sulfur from high sulfur coal. The magnetic separation concentrate was obtained under the optimum parameters, such as a particle size of -200 mesh, a magnetic field strength of 2.0 T, a slurry concentration of 15 g/L, and a slurry flow rate of 600 ml/min. The removal rate of sulfur is up to 59.9%. The method uses a magnetic field to remove sulfur-containing magnetic material from a pulverized coal solution. It is simple process with, high efficiency, and is a new way.
Shuai, Han-Lin,Luo, Xin,Yan, Rui-Ling,Li, Jian,Chen, Dan-Liang Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.12
Background: Functional single nucleotide polymorphisms of x-ray repair cross-complementing protein 1 (XRCC1) have been suspected to contribute to uterine cervical cancer risk for a long time; however, most previous case-control studies were small sized and biased. Additionally, recent studies suggested that XRCC1 polymorphisms could be a biomarker of response to platinum-based chemotherapy. Methods: A comprehensive search was conducted to retrieve eligible studies and odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated to measure association strength. Results: A total of 13 studies were identified and analyzed. We found that the Arg194Trp polymorphism (Trp vs. Arg, OR=1.342, 95% CI: 1.176) was associated with increased risk of cervical cancer, while no significant association was found with Arg280His (His vs. Arg, OR=1.059, 95% CI: 0.863, 1.299) or Arg399Gln (Gln vs. Arg, OR=1.144, 95% CI: 0.938, 1.394). As for response to platinum-based chemotherapy, the variant XRCC1 399Gln allele (Gln vs. Arg, OR=0.345, 95% CI: 0.163, 0.729) was linked with a poor response; however, the Arg194Trp polymorphism (TrpArg vs. ArgArg, OR=6.421, 95% CI: 1.573, 26.205) predicted a good response. Conclusion: The Arg194Trp polymorphism of XRCC1 increases risk of cervical cancer; the variant 399Gln allele predicts poor response to platinum-based chemotherapy, while the Arg194Trp polymorphism indicates a good response.
GaN nanorods gas sensor for highly sensitive n-butanol detection at room temperature
Shuai Han,Yongming Fu,Donghui Li,Dan Han,Qinjun Sun 대한금속·재료학회 2023 ELECTRONIC MATERIALS LETTERS Vol.19 No.3
Safe and effi cient detection of hazardous n-butanol gas is very great signifi cance to the health of workers and researchers inchemical environments. In this work, we successfully developed a GaN gas sensor by a simple solvothermal method and alow-temperature nitridation process. Material characterization results show that one-dimensional nanorods structures wereobtained and the products presented a superior growth orientation along with (101) plane. The gas sensing test results showthat the sensor exhibits excellent responsivity, repeatability, and selectivity to n-butanol at room temperature. The responseand recovery time of the sensor to 200 ppm n-butanol gas was 45 s/34 s. Gas adsorption model and electron depletion layertheory were established to understand the n-butanol sensing mechanism. This work provides the possibility for its realapplication in n-butanol detection with safe and effi cient at room temperature.
Shuai Jiang,Amjad Farooq,Fuyi Han,Lifang Liu 한국섬유공학회 2021 Fibers and polymers Vol.22 No.3
Herein, carboxyl-rich cellulose nanocrystals (CNC) were obtained through a designed TEMPO (2,2,6,6-tetramethylpiperidine-1-oxyl) mediated oxidation process without any subsequent mechanical treatment, which was provedto be widely suitable for commonly used cellulosic sources, including fibril-like fibers and lignocellulose biomasses. CNCprepared from the acid-free process showed better dispersion stability, less aggregation, higher aqueous UV transmittanceand crystallinity compared with that from sulfuric acid hydrolysis process. Furthermore, the residuals in the insolubleprecipitate were further conducted ultrasonic treatment and extra CNC was obtained from the oxidized cotton and ramiecellulose while cellulose nanofibril (CNF) was extracted from rice straw and pine powder, attributing to their different nativestructures. The total yields of nanocelluloses (NCs) were up to 63.2-68.3 %, improving the utilization ratio of the rawmaterials. This work provided a widely applicable acid- and mechanic-free route in fabricating CNC with inherent carboxylgroups and described an understanding of the relationship between the native structure of raw materials and their products,which is beneficial for improving the application of NCs.
Han-Qin Shen,Xiangcong Liu,Pengfei Zhang,Lei Wang,Yan-ling Liu,Le-yi Zhang,Peng-shuai Liang,Chang-xu Song 대한수의학회 2018 Journal of Veterinary Science Vol.19 No.3
Recently, a novel atypical porcine pestivirus (APPV) in pig was reported. In this study, two APPV strains, APPV-China/GZ01/2016 (GZ01) and APPV-China/GD-SD/2016 (GD-SD), were identified in two newborn piglet herds with congenital tremor from China. The open reading frame of the two strains shared an 83.5% nucleotide identity. Phylogenetically, the APPV strains were placed into two groups: GZ01 belonged to group I and GD-SD belonged to group II. A high viral load was detected in the cerebellum (quantification cycles < 26). Further studies should be carried out to thoroughly elucidate the development of congenital tremors caused by APPV.
Canonical Correlation Analysis of Selecting Optimal Ground Motion Intensity Measures for Bridges
Shuai Song,Cong Qian,Yongjiu Qian,Han Bao,Pengzhen Lin 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.7
The correlation between ground motion intensity measures (IMs) and that between component seismic demand parameters (DPs) have significant effects on the seismic demand of bridges. A canonical correlation analysis method was introduced to consider the two types of correlations in the optimal selection of IMs for probabilistic seismic demand analysis of bridges. A group of 100 ground motion-bridge samples were generated with the bin approach and Latin hypercube sampling method, to quantify the uncertainties of earthquakes and bridges. With the nonlinear time history analysis, the overall correlation between IMs and DPs was established (IMs and DPs were respectively treated as a whole), meanwhile the correlation between IMs and that between DPs were considered. The optimal IM was selected and verified with the criteria of efficiency, proficiency and sufficiency. The canonical correlation analysis reduced the complexity and limitation of simple correlation analysis used for all pairs of correlations between each of the IMs and each of the DPs. The combined peak IM of PGA (the peak ground acceleration), PGV (the peak ground velocity), PGD (the peak ground displacement) and combined root mean square IM of aRMS, vRMS, and dRMS were proved to be the optimal IMs and more appropriate in the probabilistic seismic demand analysis of normal girder bridges.