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To establish a method for the simultaneous determination of 15 mycotoxins in grains by ultra performance liquid chromatography tandem mass spectrometry (UPLC/MSMS). Samples were extracted by acidified acetonitrile solution， purified by impurity adsorption column prime HLB， and compensated for matrix effect interference by adding stable isotope internal standard. Phenomenon Kinetex Bipheny l100A column was used as separation column， gradient elution， UPLC-MS/MS for detection and internal standard method for quantification. The results showed that the linear correlation coefficient of 15 mycotoxins was greater than 0.996， the detection limit was 0.2-15 μg/kg， the quantitative limit was 0.8- 30 μg/kg， the recovery of three levels of three kinds of matrixes was 76.9%-116.1% and the RSD was 1.4%- 10%. The certified reference materials of corn matrix were The results from test and verification of corn matrix reference materials showed that the detection values of 8 mycotoxins were in the marked range. This method has been used to detect 135 batches of food sold in the market， 97 batches of samples were detected have mycotoxin with a detection rate of 71%， multi toxin simultaneous pollution was common. The method is simple， rapid and reliable， and can be used for the rapid and accurate detection of 15 mycotoxins in grains.

The present work was aimed to study the effect of melatonin pre-treatments on oxidative stress modulation, cadmium (Cd) accumulation, and tolerance in Abutilon theophrasti Medicus under the hydroponic system. Application of substances that can modulate the harmful effects of Cd on plant yield and reduce its accumulation in the edible parts is of particular importance. Therefore, the Abutilon pre-treated with 0.1mM melatonin were exposed to 200μM, 400μM, 800μM Cd. Our results showed that 0.1mM melatonin led to positive effects on 200μM and 400μM Cd tolerance, including a significant increase in root activity andperoxidase (POD) activity and a significant decrease in malondialdehyde (MDA) content. Withthe help of melatonin, the enrichment factor (BCF) significantly decreased, reducing the content in the ground and roots. At least in our experiment conditions, this information appears to be useful for healthy food production.

We live in a society where body height matters. Previous research has explored how body height influences individuals' perception of others, of themselves, and of the surrounding world. Evidence has shown that physical shortness is associated with various disadvantages and a lower level of personal belief in a just world (BJW-self). We hypothesize that an individual's physical height will predict his or her inclination to blame innocent victims, mediated by BJW-self. We conducted a study among 346 college students in China to test our hypothesis. Indeed, we found that, compared to shorter people, taller people were more likely to blame innocent victims, and this effect was mediated by BJW-self. Females are more sensitive to this mediating effect. Implications for future research on physical shortness and BJW were discussed., Author(s): Bao-yu Bai [sup.1] , Xiao-xiao Liu [sup.2] , Mark Khei [sup.3] Author Affiliations: (1) grid.49470.3e, 0000 0001 2331 6153, Department of Psychology, School of Philosophy, Wuhan University, , Wuhan, [...]

In recent years, composite structures have been used in a large number of applications in aerospace, machinery, marine, and civil engineering. However, there are inevitably many uncertainties in the whole life cycle of composite structures, which can easily lead to structural damage and failure. Therefore, it is important to analyze the reliability and sensitivity of composite structures. At present, most of the contributions use the first-order reliability method (FORM) and the second-order reliability method (SORM) to study the reliability of composite structures and compare them with the results of the Monte Carlo simulation. However, both methods have their limitations. FORM cannot guarantee the calculation accuracy for the highly nonlinear limit state equation, and the calculation efficiency of SORM is too low. Therefore, this paper proposes to use importance sampling (IS) and backpropagation neural network-based Monte Carlo (MC-BPNN) to study the reliability, sensitivity, and dispersion of delamination growth of composite laminates. The results show that compared with FORM and SORM, IS and MC-BPNN have higher calculation accuracy and efficiency and can more accurately evaluate the failure degree of composite structures and ensure their safe operation in the field of aerospace equipment. The universality of this method can make it being widely used in the reliability and sensitivity analysis of different composite materials as well as dispersion analysis. [ABSTRACT FROM AUTHOR]