http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
( Weitao Shen ),( Jiayu Sun ),( Zhiyang Li ),( Fen Yao ),( Kaihuang Lin ),( Xiaoyang Jiao ) 대한내과학회 2021 The Korean Journal of Internal Medicine Vol.36 No.3
Background/Aim: It is known that an imbalance in the intestinal f lora plays a crucial role in colorectal cancer (CRC), but the effect of food consumption patterns on the types of intestinal flora remains to be clarified. We aimed to analyze the associations between food intake and intestinal flora in healthy and CRC individuals. Methods: Food intake data were recorded using the Food Frequency Questionnaire (FFQ). The composition and diversity of the intestinal flora detected by 16S rRNA gene sequencing, and the data were analyzed by R version 3.1.1 software. Results: Higher intake of red meat or pickled foods, and lower intake of white meat, fruits, vegetables, beans, nuts were found in the CRC group compared with the healthy group. Higher levels of Fusobacteria and Proteobacteria, and lower levels of Firmicutes were observed in the CRC group. Partial correlation analysis revealed that the intake of fruits, beans, and nuts was negatively correlated with Proteobacteria and Fusobacteria, but pickled food was positively correlated with Fusobacteria (p < 0.05). Fish, beans, and nuts intake was negatively correlated with Escherichia (p = 0.01). Multiple regression analysis revealed that vegetable oil (odds ratio [OR], 0.26; 95% confidence interval [CI], 0.13 to 0.82), vegetables (OR, 0.26; 95% CI, 0.10 to 0.64), eggs (OR, 0.26; 95% CI, 0.10 to 0.69), pickled foods (OR, 21.02; 95% CI, 6.02 to 73.45), and red meat (OR, 4.23; 95% CI, 1.68 to 10.60) had an impact on CRC risk. Conclusions: The species and abundance of intestinal flora varies between CRC and healthy individuals and may be affected by their food preference.
Improved Quantum-Behaved Particle Swarm Method for Optimizing Complex Thin Plate Structure
Weitao Cheng,Yixiao Qin,Jinpeng Gu,Haibiao Gao,Yue Yan,Junle Yang,Yang Chen,Shen Su,Kaiyao Yang 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.4
A large number of heavy-duty asymmetric thin-plate box girder structures exist in large equipment, and their optimization can reduce the amount of material used and increase their load-carrying capacity. A new optimization method based on the Improved Quantum-Behaved Particle Swarm Optimization method (IQBPSO) is proposed in order to efficiently solve the mathematical model for the rationalization and optimization design of structures. The penalty function and Lévy flight strategy are considered in the optimization design of the improved algorithm, thus transforming the constrained optimization problem into an unconstrained optimization problem and improving the diversity and local optimization search capability of the quantum particle swarm. A mathematical model for the optimal design of box girder section size is established with the reduction of beam cross-sectional area as the objective function and the thin plate strength, rigidity, and stability of the thin slab as the constraints. The rapid lightweight design of the thin plate box beam was achieved, resulting in a 9.6% reduction in the manufacturing cost of the thin plate box beam. The optimization results are compared with several solutions of the thin slab box beams to verify the reliability and validity of the proposed optimization method.
Stress Evolution Law and Failure Characteristics of Mining Floor Rock Mass above Confined Water
Shiliang Liu,Weitao Liu,Jianjun Shen 대한토목학회 2017 KSCE Journal of Civil Engineering Vol.21 No.7
The discussion of stress evolution law and failure characteristics of rock mass in mining floor above confined water is the key to control the floor water inrush in deep mining. Based on analyzing the strike support pressure of working face, the mechanical model of coal floor above the confined water was established. Then, vertical, horizontal and shear stress distribution maps and the failure range morphological map of mining floor were calculated based on data processing software Origin. Then, with the similar simulation test bed for water inrush from coal seam floor, the fluid solid coupling simulation material was selected, and the stress evolution law and failure characteristics of coal seam mining floor were improved. The results showed that the vertical stress contour is a “semi-elliptical” shape distribution and the greater the floor depth, the smaller the affected degree, but the influenced range increased. The higher shear stress zone occurred in the vicinity of working face coal wall. The failure range morphological map of mining floor was approximately a spoon shape and maximum failure depth was 14.0 m based on the mechanical theory. The maximum failure depth of the floor was 13.4 m based on the similar simulation experiment. So, the experimental results are in agreement with the theoretical results. The results in this paper can provide theory basis for safety mining above confined water.
Cao Qingfei,Ma Jiaji,Li Weitao,Hong Peng,Shen Tong,Tong Ming 한국유전학회 2023 Genes & Genomics Vol.45 No.1
Background Guanine nucleotide-binding protein 2 (GNBP2) is a GTPase that has critical roles in host immunity and some types of cancer, but its function in clear cell renal cell carcinoma (ccRCC) is not fully understood. Objective This work explored the role of GNBP2 in ccRCC progression and the underlying molecular mechanism. Methods Two public human cancer databases TNMplot and TISIDB were employed to analyze the expression pattern of GNBP2 during ccRCC progression and the correlation between GNBP2 expression and clinical features of ccRCC patients. GNBP2 functions in ccRCC cells were determined by EdU staining, flow cytometry, scratch wound assay, transwell assay, and xenograft model. Gene expression was evaluated using qPCR, Western blot, immunofluorescence staining, and immunohistochemical staining. Results GNBP2 expression was significantly elevated in ccRCC tissues and increased gradually with the increasing tumor grades. Patients with higher GNBP2 expression had shorter overall survival times. Knockdown of GNBP2 suppressed tumor cell proliferation and cell cycle progression and reduced the capability of migration and invasion, while GNBP2 overexpression exhibited protumor effects. GNBP2 silencing by RNA interference significantly inhibited the tumor growth of tumor-bearing nude mice and decreased the proliferation marker Ki67. Mechanistically, GNBP2 downregulation suppressed the STAT3 signaling transduction, as it reduced the phosphorylation of STAT3 and modulated the expression of the target genes, including c-Myc, MMP2, N-cadherin, and E-cadherin. Conclusion These findings reveal that GNBP2 promotes ccRCC progression by regulating STAT3 signaling transduction, indicating that GNBP2 might be a promising molecular target for ccRCC therapy.