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BackgroundAlcohol dependence and related health problems have attracted greater than ever attention in recent years. Alcohol dependence not only affected personal behavior control ability， but also brought adverse effect to families and society.ObjectiveTo analyze the relationship between cognitive function and personality traits among male alcohol-dependent patients with aggressive behavior， in order to provide references for improving the cognitive function of male alcohol-dependent patients with aggressive behavior.MethodsMale patients with alcohol dependence attending Hunan Brain Hospital from March 2020 to March 2022 and fulfilling the International Classification of Diseases， tenth edition （ICD-10） diagnostic criteria were enrolled. According to the score of Modified Overt Aggression Scale （MOAS）， participants were classified into aggressive behavior group and non-aggressive behavior group at 1∶1 ratio， each with 80 cases. The enrolled subjects were then evaluated using Revised Eysenck Personality Questionnaire Short Scale for Chinese （EPQ-RSC） and Repeatable Battery for the Assessment of Neuropsychological Status （RBANS）. Pearson correlation analysis was utilized to examine the correlation between EPQ-RSC and RBANS scores among alcohol-dependent patients with aggressive behavior.ResultsScores on each subscale in RBANS were all lower in aggressive behavior group than those in non-aggressive behavior group （t=2.176， 2.580， 2.076， 2.308， 2.193， P

Traditional indicators such as equivalent salt deposit density, surface pollution layer conductance and leakage current are mainly used to measure the contamination grades of ceramic insulators, and the detection process is time-consuming and inefficient. Hyperspectral technology can obtain rich information of target spectrum non-contact, and has great application potential in insulator pollution detection. Therefore, a method of ceramic insulator pollution level detection based on hyperspectral technology is proposed in this paper. Firstly, there is a reflection phenomenon when collecting hyperspectral image due to the material of ceramic insulator, so histogram equalization is used to process the hyperspectral image to remove the reflective interference. Then, the hyperspectral image is preprocessed to remove the noise interference. And the successive projections algorithm (SPA) is used to extract the feature of the sample spectral line for removing the redundant information. Finally, the classification model of support vector machine (SVM) is established according to the characteristic spectral lines, and the classification accuracy of ceramic samples is 95%.

Due to the increasing speed of high-speed trains, the grounding system faces new challenges. When the relative motion between the train and the track occurs, the phenomenon of ground backflow will be intensified, resulting in the rise of train body potential, the abnormity or even damage of bearing and ground carbon brush, insulation joint, on-board sensors and other problems. In view of the existing problems of grounding reflux and train body potential of high-speed trains and the failure of twodimensional model of high-speed train grounding system to simulate and analyze the potential of the left and right sides of the same axle based on radial parameters, it is necessary to conduct a more perfect three-dimensional modeling of the integrated grounding system of high-speed trains. In order to suppress the grounding current and reduce the potential of the vehicle body, optimized analysis of the grounding mode and grounding parameters of the grounding system is conducted. In this paper, based on the measured data and theoretical analysis of the impedance and inductance parameters of the train body as well as the actual size parameters of the train body by the RCL tester, the three-dimensional circuit model of the integrated grounding system of the high-speed train is completed respectively from the aspects of traction transformer, overhead contact line, on-board transformer of high-speed train, high-voltage cable and train body under the premise of fully considering all the influencing factors. At the same time, combined with the dynamic grounding reflux test of the train passing under the on-line condition and the static overvoltage test of the high-speed train raising the pantograph and closing the VCB, the simulation results are compared with the measured results to verify the reliability of the three-dimensional model. Finally, based on the threedimensional simulation model, the radial parameters of the docking system and the three-dimensional distribution of the protection grounding and working grounding are optimized. After optimization, the ground current flowing through the protection grounding of the train is reduced to different degrees, and the distribution becomes more uniform. Meanwhile, the potential of the train body is maintained within the safety limit. [ABSTRACT FROM AUTHOR]

Plant communities may be co-invaded by invasive plants, sometimes even by congeneric invasive plants (CIPs). Despite the growing understanding of co-invasion in the environment, little is known about how CIP interactions and mechanisms regulate co-invasion. Darwin's naturalisation conundrum predicts that the coexistence of closely related species is difficult due to their structural and behavioural similarities. Nevertheless, communities containing closely related species are more susceptible to being invaded because close relatives may favour similar environments; therefore, this hypothesis should be followed in the co-invasion of CIPs. To explore whether the phylogenetic relatedness and origins of invasive species to CIPs can promote or hinder co-invasion, we conducted a controlled interaction and soil-legacy greenhouse experiment to quantify the growth response of invasive plants and their congeners. We consistently found that CIPs of identical origin were more likely to co-invade compared to CIPs of distinct origins. CIPs of distinct origins exhibited an antagonistic effect on co-invasion by allelopathy. Invasive plant-conditioned soil was more conducive to the growth of CIPs of identical origin than CIPs of distinct origins. Our results revealed the different effects of invader–invader phylogenetic relatedness on co-invader success and impact, suggesting the operation of different mechanisms across co-invasion. [ABSTRACT FROM AUTHOR]