Comparative field tests on uplift behavior of straight-sided and belled shafts in loess under an arid environment

Qian, Zeng-zhen,Lu, Xian-long,Yang, Wen-zhi,Cui, Qiang Techno-Press 2016 Geomechanics & engineering Vol.11 No.1

This study elucidates the uplift behaviors of the straight-sided and belled shafts. The field uplift load tests were carried out on 18 straight-sided and 15 belled shafts at the three collapsible loess sites under an arid environment on the Loess Plateau in Northwest China. Both the site conditions and the load tests were documented comprehensively. In general, the uplift load-displacement curves of the straight-sided and belled shafts approximately exhibited an initial linear, a curvilinear transition, and a final linear region, but did not provide a well defined peak or asymptotic value of the load, and therefore their uplift resistances should be interpreted from the load test results using an appropriate criterion. Nine representative uplift resistance interpretation criteria were used to define the "interpreted failure load" for each of the load tests, and all of these interpreted uplift resistances were normalized by the failure threshold, $T_{L2}$, obtained using the $L_1-L_2$ method. These load test data were compared statistically and graphically. For the straight-sided and belled shafts, the normalized uplift load-displacement curves were respectively established by the plots that related the mean interpreted uplift resistance ratio against the mean displacement at the corresponding interpreted criteria, and the comparisons of the normalized load-displacement curves were made. Specific recommendations for the designs of uplift belled and straight-sided shafts in the loess were given, in terms of both capacity and displacement.

Behaviour of micropiles in collapsible loess under tension or compression load

Qian, Zeng-Zhen,Lu, Xian-Long,Yang, Wen-Zhi,Cui, Qiang Techno-Press 2014 Geomechanics & engineering Vol.7 No.5

This study examines the behaviour of single micropiles subjected to axial tension or compression load in collapsible loess under in-situ moisture content and saturated condition. Five tension loading tests and five compression loading tests on single micropiles were carried out at a typical loess site of the Loess Plateau in Northwest China. A series of laboratory tests, including grain size distribution, specific gravity, moisture content, Atterberg limits, density, granular components, shear strength, and collapse index, were carried out during the micropile loading tests to determine the values of soil parameters. The loess at the test site poses a severe collapse risk upon wetting. The tension or compression load-displacement curves of the micropiles in loess, under in-situ moisture content or saturated condition, can generally be simplified into three distinct regions: an initial linear, a curvilinear transition, and a final linear region, and the bearing capacity or failure load can be interpreted by the L1-L2 method as done in other studies. Micropiles in loess should be considered as frictional pile foundations though the tip resistances are about 10%-15% of the applied loads. Both the tension and compression capacities increase linearly with the ratio of the pile length to the shaft diameter, L/d. For micropiles in loess under in-situ moisture content, the interpreted failure loads or capacities under tension are 66%-87% of those under compression. However, the prewetting of the loess can lead to the reductions of 50% in the tensile bearing capacity and 70% in the compressive bearing capacity.

Study on Aging Characteristics and Chemical Composition of Hydrogenated Transformer Oil

Qian, Yi-Hua,Huang, Yi-Bin,Fu, Qiang,Zhong, Zhen-Sheng The Korean Institute of Electrical Engineers 2013 Journal of Electrical Engineering & Technology Vol.8 No.3

Under the condition of Baader aging, the chemical composition variation and the influence of transformer oil aging on electrical properties such as dielectric loss factor and physic-chemical properties such as interfacial tension were studied in the aging precess. Moreover, the correlation between hydrogenated transformer oil electrical and physic-chemical properties and its chemical composition variation were also investigated. The results show that these parameters of physic-chemical and electrical properties of hydrogenated transformer oil relate to each other and have closed correlation with chemical composition.

Cathodic reduction characteristics of 2-chloro-4-nitrophenol in microbial electrolysis cell

Qianli Yu,Wei Xiong,Donggen Huang,Cui Luo,Qiang Yang,Tao Guo,Qi Wei 대한환경공학회 2020 Environmental Engineering Research Vol.25 No.6

Microbial electrolysis cell (MEC) has been constructed to study the degradation characters of 2-chloro-4-nitrophenol (2C4NP) in waste water. The effects of applied voltage, initial concentration of substrate and co-matrix species on the reduction and degradation of 2C4NP were studied. Qualitative and quantitative analysis of 2C4NP residues and degradation intermediate by using UV-Vis, HPLC, HPLC/MS/MS, IC and other analytical testing techniques. The degradation mechanism of 2C4NP in MEC cathode was proposed. The results showed that electron and electroactive microorganisms would produce coupling effect and accelerate the degradation of 2C4NP under adding 0.5 V DC; Under the condition of satisfying the C/N ratio of electroactive anaerobic microorganism, the addition of organic substances such as glucose and sodium acetate which were easily degraded by microorganisms would hinder the degradation of 2C4NP in the cathode compartment. 2C4NP can be effectively degraded by adding appropriate amount of glucose as carbon source with the low C/N. 2C4NP undergoes reduction, dechlorination, denitrification and assimilation in the cathode compartment to form 2-chloro-4-aminophenol, 4-aminophenol, 2-chlorophenol, 2-chloro-4-hydroxyphenol, nitrophenol, hydroquinone, 4-hydroxyhexadienoic acid semialdehyde, valeric acid, oxalic acid and many other intermediate products. According to the degradation intermediates, the degradation mechanism of 2C4NP in the cathode compartment was presumed.

Clinical significance and prognostic value of C-reactive protein/albumin ratio in gastric cancer

Qian Yu,Ke-zhi Li,Yan-jun Fu,Yanping Tang,Xin-qiang Liang,Zhi-qing Liang,Ji-hong Bai 대한외과학회 2021 Annals of Surgical Treatment and Research(ASRT) Vol.100 No.6

Purpose: This study was aimed to evaluate the clinical significance and prognostic value of CRP/albumin ratio (CAR) in patients with gastric cancer. Methods: The data of 205 gastric cancer patients who underwent surgery was analyzed retrospectively. The association of CAR with the clinical features and prognostic value in gastric cancer was analyzed. The data of this study was combined with previous studies to further determine the prognostic value of CAR in patients with gastric cancer using a metaanalysis method. Results: Cox analysis revealed that preoperative CAR was an independent prognosis indicator in patients with gastric cancer. High expression of CAR indicated a shorter survival time than in those with lower expression. CAR has a higher prognostic value in the 1-, 3-, and 5-year overall survival in patients with gastric cancer. CAR showed significant difference regarding the gastric cancer patients’ age, M stage, and clinical stage. The discriminate value of CAR in M stage of gastric cancer was high (area under the curve, 0.809). A meta-analysis combining previous data and our data showed that preoperative CAR demonstrated a significant association with the overall survival of patients with gastric cancer. Conclusion: This study demonstrated that preoperative CAR could serve as an important prognostic indicator in patients with gastric cancer.

An Efficient Cockcroft-Walton Type Charge Pump with Level Shift Control Circuit

Qian Guo,Renyuan Zhang,Qiang Li,Yasuaki Inoue 대한전자공학회 2015 ITC-CSCC :International Technical Conference on Ci Vol.2015 No.6

An efficient Cockcroft-Walton type charge pump (CP) is proposed in this paper. In the proposed charge pump, to overcome the reverse current problem, a level shift control circuit is used, which would increase the efficiency. The CP is verified by circuit simulation, using a standard 0.18μm CMOS process. The simulation results indicate that the voltage boosting efficiency of the charge pump is 99.1% when the load current is 1μA while the conventional circuit drops to 96.7%. The power efficiency of the proposed circuit is 85.4% when the load current is 100μA without the stray capacitance.

SYNTHESIS OF SINGLE-WALLED CARBON NANOTUBES FROM LIQUEFIED PETROLEUM GAS

QIANG ZHANG,YI LIU,JIAQI HUANG,WEIZHONG QIAN,YAO WANG,FEI WEI 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2008 NANO Vol.3 No.2

Hydrocarbons such as methane, ethylene, and CO with high purity (> 99.9%) have been widely used to synthesize single-walled carbon nanotubes (SWCNTs). Here, liquefied petroleum gas (LPG) was used to synthesize SWCNTs by catalytic chemical vapor deposition. The LPG converted into CNTs and other stable hydrocarbons. The BET specific surface area of SWCNT was about 583 m2/g. The as-grown SWCNT showed good graphitization. The graphitization can be further modulated by the growth temperature. Certain amount of sulfur in LPG was a promoter for SWCNT growth. Compared SWCNTs obtained from methane, more semiconductive SWCNTs were synthesized from LPG as carbon source. The LPG is in low price, thus, a methodology to lower the production cost of SWCNTs with hydrocarbon mixtures is realized.

A Survey of Transfer and Multitask Learning in Bioinformatics

Qian Xu,Qiang Yang 한국정보과학회 2011 Journal of Computing Science and Engineering Vol.5 No.3

Machine learning and data mining have found many applications in biological domains, where we look to build predictive models based on labeled training data. However, in practice, high quality labeled data is scarce, and to label new data incurs high costs. Transfer and multitask learning offer an attractive alternative, by allowing useful knowledge to be extracted and transferred from data in auxiliary domains helps counter the lack of data problem in the target domain. In this article, we survey recent advances in transfer and multitask learning for bioinformatics applications. In particular, we survey several key bioinformatics application areas, including sequence classification, gene expression data analysis, biological network reconstruction and biomedical applications.

FEW WALLED CARBON NANOTUBE PRODUCTION IN LARGE-SCALE BY NANO-AGGLOMERATE FLUIDIZED-BED PROCESS

QIANG ZHANG,HAO YU,YI LIU,WEIZHONG QIAN,YAO WANG,GUOHUA LUO,FEI WEI 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2008 NANO Vol.3 No.1

Few walled carbon nanotubes (FWCNTs) have been successfully synthesized using a nano-agglomerate fluidized-bed process. FWCNTs can be obtained by fluidization of Fe(Co/Ni)/Mo/MgO catalysts at a high temperature with methane cracking in a nano-agglomerate fluidized-bed reactor. The products were mainly 2 to 5 walled CNTs with an outer diameter of 1–7 nm in high purity, as revealed by Raman spectrometry, SEM, and HRTEM analysis. Two keys were crucial for this process. The first key was to get the small size of activity catalyst particles which was realized by Mo addition in catalyst. The graphitization of FWCNTs strongly depended on the composition of catalyst. Fe/Mo/MgO catalyst showed the highest activity and the FWCNT product with the best graphitization. Another key for this process was that the particles must be kept in fluidized state during FWCNT formation. Detailed process information was reported in this article, which showed a potential way for the large scale production of FWCNTs, thereby the urgent need for FWCNTs in high performance will be overcome.

A Survey of Transfer and Multitask Learning in Bioinformatics

Xu, Qian,Yang, Qiang Korean Institute of Information Scientists and Eng 2011 Journal of Computing Science and Engineering Vol.5 No.3

Machine learning and data mining have found many applications in biological domains, where we look to build predictive models based on labeled training data. However, in practice, high quality labeled data is scarce, and to label new data incurs high costs. Transfer and multitask learning offer an attractive alternative, by allowing useful knowledge to be extracted and transferred from data in auxiliary domains helps counter the lack of data problem in the target domain. In this article, we survey recent advances in transfer and multitask learning for bioinformatics applications. In particular, we survey several key bioinformatics application areas, including sequence classification, gene expression data analysis, biological network reconstruction and biomedical applications.