Optimization design of curved outrigger structure based on buckling analysis and multi-island genetic algorithm.

In the present work, the working state of the crane leg is analyzed and discussed, and its structure is optimized. SolidWorks software is used for modeling; ANSYS software is used for finite element analysis. First of all, the constrained finite element method (CFEM) is used to analyze the linear eigenvalue buckling and geometric nonlinear buckling of outriggers with different cross-section shapes. Prove that the curved leg has certain advantages in buckling. At the same time, analyzing the leg along a different path of buckling condition and stress changes provide the basis for the design of the subsequent reinforcement. After selecting the best cross-section shape of the outrigger, the agent-based multi-island genetic algorithm is used to optimize the structural parameters of the outrigger under the transverse stiffened plate reinforced structure and the longitudinally stiffened plate reinforced structure respectively. It is proved that the outrigger with the transverse stiffened plate has a significant effect in improving the bearing capacity and in the lightweight of the structure. Finally, the gap between the movable leg and the fixed leg was changed, the stress of different gaps was analyzed by using the finite element method, and the appropriate gap value was selected according to the high-order fitting curve.

[Spatial Interpolation Methods and Pollution Assessment of Heavy Metals of Soil in Typical Areas].

It is important to choose the best spatial interpolation method to reflect spatial distribution features and evaluate soil heavy metal pollution. The spatial distribution of arsenic (As) and cadmium (Cd) concentrations in top soil samples from Hubei Province were studied by four frequently-used spatial interpolation methods, including inverse distance weighted (IDW), radial basis function (RBF), local polynomial interpolation (LPI) and ordinary kriging (OK). The interpolation precision and effect of the spatial distribution of the four methods were compared with the results of cross validation and spatial distribution, and the pollution was assessed by the geoaccumulative index (Igeo) and indicator kriging (IK). The results showed that the four interpolation methods had small prediction errors, but that the interpolation effects were quite different. Among them, LPI had the most serious smoothing effect, followed by OK. The IDW and RBF best retained the extreme value information for element concentrations, and interpolation results were more detailed-and so to accurately understand the distribution of soil heavy metals, IDW or RBF methods were recommended. Taking the arithmetic mean of heavy metal concentrations in deep soil of Hubei Province as the background value, the evaluation result of geo-cumulative index pollution allowed exceedance percentages for As and Cd accounted for 5.5% and 99.0% respectively. The soils of the study areas were heavily contaminated with Cd. The pollution evaluation result from IK showed that high probability contaminated areas, with moderate-heavy contamination levels, were mainly located in the central part of the study area. The authors concluded that development of agriculture in the research area should include attention to Cd pollution and that soils there required the effective treatment and restoration of Cd levels.

OCT4B1 promotes cell growth, migration and invasion suppressing sensitivity to οxaliplatin in colon cancer.

OCT4B1, a splice variant of OCT4, is a key regulator in maintaining the properties of pluripotency and self-renewal in embryonic stem (ES) cells. Recent results have shown that OCT4B1 is involved in tumorigenesis. However, the contribution of OCT4B1 in the tumorigenesis and drug resistance of colon cancer remains to be determined. The aim of the present study was to determine whether OCT4B1, which maintains the stemness of ES cells, promoted cell growth by facilitating transition of the cell cycle and reduced apoptosis in colon cancer and drug­resistant cells using flow cytometry and western blotting. The results showed that, OCT4B1 promoted the growth of colon cancer and drug­resistant cancer cells by maintaining the activity of ES cells and by facilitating the transition of the cell cycle and reducing apoptosis. Additionally, OCT4B1 was able to reduce sensitivity to oxaliplatin by altering the expression of two important mediators in drug resistance, P-gp and ABCG2 [ATP-binding cassette, sub­family G (WHITE), member 2]. Furthermore, OCT4B1 enhanced the ability of migration and invasion through alteration of the epithelial-to-mesenchymal transition (EMT) in colon cancer. In conclusion, to the best of our knowledge, the results demonstrated for the first time that OCT4B1 functions as an oncogene in colon cancer and provides the development of novel therapeutic strategies to treat colon cancer, particularly drug resistance.