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Brassica napus L. (B. napus) is one of the most important oil crops in China, and has high risk of waterlogging stress during its production. The objective of this study is to evaluate the field waterlogging tolerance and screen stable waterlog-ging-resistant germplasm resources. The appropriate waterlogging duration for waterlogging tolerance identification was determined under pot conditions first, and then the comprehensive evaluation and comparison of the waterlogging tolerance of 505 germplasm resources of B. napus were carried out. The stable extreme materials were screened in field experiments. The results showed that the growth of B. napus plants began to be affected after four-day-waterlogging, and severely inhibited after about 10-day-waterlogging under pot conditions. In the two-year field experiment, 27 indexes extracted using the UAV phenotype acquisition platform were converted into two common factors by factor analysis. The common factor 1 represented the growth state of B. napus under waterlogging, and the common factor 2 represented the physiological state. The comprehensive evaluation value of waterlogging resistance (D-value), which was calculated according to the load and variance contribution rate of the two common factors, divided the waterlogging resistance of B. napus germplasm resources into four types, including extremely waterlogging resistant type (Cluster I, 99 materials), waterlogging resistant type (Cluster II, 200 materials), sensitive type (Cluster III, 187 materials), and extremely sensitive type (Cluster IV, 19 materials). In the two-year field experiment, nine stable waterlogging sensitive materials and nine resistant materials were identified, and the results were confirmed by the field experiments in 2022. Moreover, in the two-year experiment, the vegetation indexes, MTVI2D, and MCARI2D had high correlations with the D-value, and the correlation coefficients were greater than 0.76, which can be used for rapid and efficient comprehensive evaluation of B. napus waterlogging resistance. In conclusion, the evaluation system and rapid and comprehensive evaluation methods for waterlogging tolerance of B. napus in the field were established, which were applied to analyze the types of waterlogging tolerance of B. napus germplasm resources and identify the stable waterlogging resistant and sensitive materials in this study, providing reliable evaluation methods and important germplasm resources for the research and genetic improvement of waterlogging resistance of B. napus. [ABSTRACT FROM AUTHOR]

Byline: Jing-Yi Li, Jian-Ming Zhang, Ji-Jun Li, Qi Zhou, Xi-Bao Xu Based on analysing the public risk perception in North-western China, following conclusions are obtained: there is strong correlation between individual characteristic and risk perception; female risk perception is stronger than male; from strong to weak, the order of age characteristics is 20-30, 0-20, 40-50, 30-40, 50-60 and over 60; the order of educational characteristics is senior high school, college, illiterate, junior high school, primary school; the order of occupation characteristics is student, farmer, teacher, worker and functionary; the order of habitation characteristics is city, countryside, towns, and metropolis.

Due to the high mortality of lung cancer, early diagnosis followed by early effective treatment is the key to prognosis improvement, which demands to identify the biological targets. Therefore, a multistage screening analysis was used to identify biological targets of lung adenocarcinoma. Two independent datasets of DNA methylation and RNA expression microarray in lung adenocarcinoma and normal lung tissues were chosen from the Gene Expression Omnibus. The association between DNA methylation and gene expression was explored, and the prognostic value of the hub genes was also evaluated. In this study, 8533 differential methylation sites, mostly located in the CpG island region and corresponding to 2754 genes (referred as differential methylation genes), were detected from methylation microarray. Besides, we obtained 830 differential expression genes, including 570 downregulated and 260 upregulated genes, through differential expression analysis. Protein–protein interaction analysis identified CXCL12, GFR, KDR, MMP9, TEK, and TWIST as core nodes, involving in the process of tumor cell identification, cell growth, cytokine secretion, inflammatory response, and angiogenesis. Among them, MMP9 and TWIST1 were identified as more valuable biological targets for the early diagnosis and targeted therapy of lung cancer through Kaplan–Meier analysis of TCGA lung adenocarcinoma datasets. Our study should contribute to the diagnosis and treatment of lung adenocarcinoma. [ABSTRACT FROM AUTHOR]

Objective To investigate the incidence of restless legs syndrome (RLS) in hemodialysis patients and to analyze the related risk factors. Methods There were 220 cases of hemodialysis as hemodialysis group and 40 cases of chronic nephrosis as control group. The severity of RLS was measured by International Restless Legs Syndrome Study Group Rating Scale (IRLS). Beck Depression Inventory (BDI) was used to evaluate the status of depression, Epworth Sleepiness Scale (ESS) was used to evaluate excessive daytime sleepiness (EDS), and Insomnia Severity Index (ISI) was used to evaluate the status of insomnia. Univariate and multivariate forward Logistic regression analysis was used to analyze the related risk factors for RLS in hemodialysis patients. Results In hemodialysis group duration (Z = - 9.837, P = 0.000), serum ferritin (t = 2.847, P = 0.005), incidence rate of RLS (χ² = 10.918, P = 0.001), the proportion of using hypnotic drugs (χ² = 7.669, P = 0.006), IRLS (t = 2.322, P = 0.020) and ISI (Z = 4.117, P = 0.001) were significantly higher than control group. Univariate and multivariate forward Logistic regression analysis showed diabetes (OR = 3.387, 95% CI: 1.538-7.461; P = 0.002), BDI > 9 score (OR = 2.643, 95% CI: 1.457-4.795; P = 0.001) and ISI > 7 score (OR = 3.542, 95%CI: 1.939-6.468; P = 0.000) were independent risk factors for RLS in hemodialysis patients. Conclusions Hemodialysis patients have a high incidence of RLS and insomnia. RLS is closely related with insomnia. Depression plays an important role therein. [ABSTRACT FROM AUTHOR]