Association of the intercellular adhesion molecule-1 gene polymorphisms with type 2 diabetes and diabetic peripheral neuropathy in a Chinese Han population

Zhanjie Ren,Na Ji,Kebao Jia,Li Wang,Harvest F. Gu,Jun Ma 한국유전학회 2015 Genes & Genomics Vol.37 No.1

Intercellular adhesion molecule-1 (ICAM-1) isan inflammation cytokine. Previous studies have demonstratedthat genetic polymorphisms in the ICAM-1 gene areassociated with chronic inflammation and diabeticnephropathy. The present study aimed to investigate theassociation of ICAM-1 gene polymorphisms with type 2diabetes (T2D) and diabetic peripheral neuropathy (DPN)in a Chinese Han population. Four valid single nucleotidepolymorphisms (SNPs) in the ICAM-1 gene were genotypedin 672 control subjects, 787 T2D patients with andwithout DPN with TaqMan allelic discrimination. Singlemarker association analyses indicated that A allele of SNPrs5498 was associated with DPN (P = 0.037, OR 1.715,95 % CI 1.027–2.865). Further analyses of clinicalparameters according to the genotypes of this polymorphismdemonstrated that T2D patients with DPN carryingAA and AG genotypes had higher risk of coronary heartdisease compared with those carrying GG genotype(30.6 % vs. 11.5 %, P = 0.040). In SNP rs1799969, thedifference of minor allele frequencies between the patientswithout and with DPN was found (0.02 vs 0.01, P = 0.014,OR 3.695, 95 % CI 1.211–11.277). SNP rs281432 hadhigher frequency of G allele in all T2D patients comparedwith control subjects (0.35 vs. 0.31, P = 0.041, OR 1.200,95 % CI 1.008–1.428). The present study provides evidencethat rs5498 (A/G E469K) polymorphism is associatedwith DPN in T2D, and also implicates that theassociation of ICAM-1 with DPN may be related to othervascular complications.

Gas detonation cell width prediction model based on support vector regression

Jiyang Yu,Bingxu Hou,Alexander Lelyakin,Zhanjie Xu,Thomas Jordan 한국원자력학회 2017 Nuclear Engineering and Technology Vol.49 No.7

Detonation cell width is an important parameter in hydrogen explosion assessments. The experimental data on gas detonation are statistically analyzed to establish a universal method to numerically predict detonation cell widths. It is commonly understood that detonation cell width, λ, is highly correlated with the characteristic reaction zone width, δ. Classical parametric regression methods were widely applied in earlier research to build an explicit semiempirical correlation for the ratio of λ/δ. The obtained correlations formulate the dependency of the ratio λ/δ on a dimensionless effective chemical activation energy and a dimensionless temperature of the gas mixture. In this paper, support vector regression (SVR), which is based on nonparametric machine learning, is applied to achieve functions with better fitness to experimental data and more accurate predictions. Furthermore, a third parameter, dimensionless pressure, is considered as an additional independent variable. It is found that three-parameter SVR can significantly improve the performance of the fitting function. Meanwhile, SVR also provides better adaptability and the model functions can be easily renewed when experimental database is updated or new regression parameters are considered.

Shear strength prediction of concrete-encased steel beams based on compatible truss-arch model

Yicong Xue,Chongxin Shang,Yong Yang,Yunlong Yu,Zhanjie Wang 국제구조공학회 2022 Steel and Composite Structures, An International J Vol.43 No.6

Concrete-encased steel (CES) beam, in which structural steel is encased in a reinforced concrete (RC) section, is widely applied in high-rise buildings as transfer beams due to its high load-carrying capacity, great stiffness, and good durability. However, these CES beams are prone to shear failure because of the low shear span-to-depth ratio and the heavy load. Due to the high load-carrying capacity and the brittle failure process of the shear failure, the accurate strength prediction of CES beams significantly influences the assessment of structural safety. In current design codes, design formulas for predicting the shear strength of CES beams are based on the so-called “superposition method”. This method indicates that the shear strength of CES beams can be obtained by superposing the shear strengths of the RC part and the steel shape. Nevertheless, in some cases, this method yields errors on the unsafe side because the shear strengths of these two parts cannot be achieved simultaneously. This paper clarifies the conditions at which the superposition method does not hold true, and the shear strength of CES beams is investigated using a compatible truss-arch model. Considering the deformation compatibility between the steel shape and the RC part, the method to obtain the shear strength of CES beams is proposed. Finally, the proposed model is compared with other calculation methods from codes AISC 360 (USA, North America), Eurocode 4 (Europe), YB 9082 (China, Asia), JGJ 138 (China, Asia), and AS/NZS 2327 (Australia/New Zealand, Oceania) using the available test data consisting of 45 CES beams. The results indicate that the proposed model can predict the shear strength of CES beams with sufficient accuracy and safety. Without considering the deformation compatibility, the calculation methods from the codes AISC 360, Eurocode 4, YB 9082, JGJ 138, and AS/NZS 2327 lead to excessively conservative or unsafe predictions.

Fire Resistance Numerical Simulation of Extended End-Plate Steel Connection Joints with Different Strengthening Strategies under Fire

Jixiang Xu,Jianjun Wang,Jianping Han,Zhaolong Han,Jiahuang Tu,Zhanjie Li 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.4

The aim of this paper is to investigate the bolted end-plate beam to column (BEBC) joints with different strengthening strategies under fire through a parametric study by using a validated computational model. The current studies are mainly more focused on the mechanical behavior of a certain kind of reinforced or unreinforced BEBC joints at either room or fire alone, limiting investigations are available for a comprehensive stiffening strategy study of the BEBC joints under fire. Therefore, there is a need in improving the performance of BEBC joints with different stiffening strategies, the fire resistance comparison of these BEBC joints with different strengthening strategies under fire is of great interest. The analyses of the fire resistance behavior of the stiffened or unstiffened BEBC joints under fire were conducted by using a developed model that was established and validated by using the existing test results. A parametric study was conducted for BEBC joints with web stiffeners, end-plate stiffeners and web and end-plate stiffeners together under fire using the validated computational model. In order to better compare the fire resistance of BEBC joints with different strengthening strategies under a fire, 24 finite element models were established by considering different strengthening strategies and end-plate thicknesses. The results on different strengthening strategies and the end-plate thicknesses revealed the major impact of web stiffeners and end-plate web stiffener together, and the sensitivities of end-plate thickness for unreinforced BEBC joints. For the fire resistance of unreinforced and stiffened BEBC joints, the findings herein can provide a valuable reference for potential design recommendations.

Sustainable production of acetaldehyde from lactic acid over the carbon catalysts

Cong-Ming Tang,Jiansheng Peng,Xin-Li Li,Zhanjie Zhai,Hejun Gao,Wei Bai,Ning Jiang,Yunwen Liao 한국화학공학회 2016 Korean Journal of Chemical Engineering Vol.33 No.1

The synthesis of acetaldehyde from lactic acid over the carbon material catalysts was investigated. The carbon materials were characterized by scanning electron microscopy for morphologic features, by X-ray diffraction for crystal phases, by Fourier transform infrared spectroscopy for functional group structures, by N2 sorption for specific surface area and by ammonia temperature-programed desorption for acidity, respectively. Among the tested carbon catalysts, mesoporous carbon displayed the most excellent catalytic performance. By acidity analysis, the medium acidity is a crucial factor for catalytic performance: more medium acidity favored the formation of acetaldehyde from lactic acid. To verify, we compared the catalytic performance of fresh activated carbon with that of the activated carbon treated by nitric acid. Similarly, the modified activated carbon also displayed better activity due to a drastic increase of medium acidity amount. However, in contrast to fresh carbon nanotube, the treated sample displayed worse activity due to decrease of medium acidity amount. The effect of reaction temperature and time on stream on the catalytic performance was also investigated. Under the optimal reaction conditions, 100% lactic acid conversion and 91.6% acetaldehyde selectivity were achieved over the mesoporous carbon catalyst.

Effect of abdominal acupuncture combined with routine rehabilitation training on shoulder-hand syndrome after stroke: A randomized controlled trial

Zhan Jie,Ai Yirang,Zhan Lechang,Pan Ruihuan,Wang Yiqiao,Dong Cong,Wang Qiuchun,Chen Hongxia,Lu Liming,Li Mei 한국한의학연구원 2022 Integrative Medicine Research Vol.11 No.2

Background: Post-stroke shoulder-hand syndrome (SHS) is a common complication after stroke. To date, there is still a lack of consistently effective and good patient compliance methods for SHS. Methods: Fifty patients with SHS were included in this study. Patients in the control group received rehabilitation training (RT) for 2 weeks; each session was 30 min, 1 time per day, and 5 times per week. Patients in the observation group were additionally given Bo’s abdominal acupuncture (BAA) with the same frequency and duration. The primary outcome was the change value in the VAS score from baseline to 2 weeks. The secondary outcomes measured were motor function of the upper limb, shoulder range of motion, ADL, and swelling volume. Results: Compared with baseline values, the mean VAS score at 2 weeks was reduced by 3.68 in the observation group and by 1.92 in the control group, with a difference between the two groups of 1.84 (P < 0.001); the mean MBI score at 2 weeks increased by 10.44 in the observation group and by 4.79 in the control group, with a difference between the two groups of 5.84 (P = 0.032); the mean swelling volume at 2 weeks decreased by 9.64 in the observation group and by 3.29 in the control group, with a difference between the two groups of 6.48 (P < 0.001). BAA-related adverse events were not found during the study. Conclusions: BAA combined with RT is superior to RT alone in improving shoulder pain, swelling, and ADL in post-stroke SHS patients. Trial Registration: ChiCTR2100045464 (www.chictr.org.cn).