Objective To investigate the brain mechanism elicted by multiple conflict.Methods This study integrated different types of conflict,including Flanker,Stroop and Simon conflict,by using the event-related potential(ERP) technique.Results The behavioral data showed that there were the congruency effect and the conflict adaptation effect in all types of the conflict.ERP data showed that the congruency effects of P300,N450 and SP component were found in all types of conflict.Conclusion The conflict monitoring theory is still available for various types of conflict in multiple conflict conditions and the human brain uses local control mechanism to resolve the conflict.In addition,the human brain resolves the conflict based on the flexibility of cognitive control system driven by multiple conflict and the conflict-specific control mechanisms.These mechanisms are independent and free from any interference with each other.

Along with the develoipment of high-throughput sequencing technologies, both sample size and SNP number are increasing rapidly in genome-wide association studies (GWAS), and the associated computation is more challenging than ever. Here, we present a memory-efficient, visualization-enhanced, and parallel-accelerated R package called"rMVP"to address the need for improved GWAS computation. rMVP can 1) effectively process large GWAS data, 2) rapidly evaluate population structure, 3) efficiently estimate variance components by Efficient Mixed-Model Association eX-pedited (EMMAX), Factored Spectrally Transformed Linear Mixed Models (FaST-LMM), and Haseman-Elston (HE) regression algorithms, 4) implement parallel-accelerated association tests of markers using general linear model (GLM), mixed linear model (MLM), and fixed and random model circulating probability unification (FarmCPU) methods, 5) compute fast with a globally efficient design in the GWAS processes, and 6) generate various visualizations of GWAS-related information. Accelerated by block matrix multiplication strategy and multiple threads, the association test methods embedded in rMVP are significantly faster than PLINK, GEMMA, and FarmCPU_pkg. rMVP is freely available at https://github.com/xiaolei-lab/rMVP.

Objective　To investigate the risk factors for early hematoma enlargement in hypertensive cerebral hemorrhage （HCH） and the clinical predictive value of （Glasgow Coma Scale） GCS score combined with blood glucose level at admission. Methods　A retrospective collection was performed on 106 HCH patients who were treated in the hospital from October 2014 to October 2018.According to presence or absence of hematoma enlargement showed by examination results of brain CT after admission，they were divided into enlargement group （29 cases） and non-enlargement group （77 cases）. The general data of the two groups were compared to analyze the risk factors for hematoma enlargement in early stage of hypertensive intracerebral hemorrhage. The receiver operating characteristic （ROC） curve was performed to analyze predictive value of GCS score combined with blood glucose level at admission for early hematoma enlargement in HCH. Results　There were no significant differences in gender，age，hematoma location，diastolic blood pressure at admission or long-term smoking history between the two groups （P>0.05）. There were significant differences in GCS score，systolic blood pressure at admission，fasting blood glucose，hematoma morphology and long-term drinking history at admission （P<0.05）. The results of multivariate Logistic regression analysis showed that low GCS score，high admission systolic blood pressure，high fasting blood glucose，hematoma irregularity and long-term drinking history at admission were independent risk factors influencing early hematoma enlargement in HCH patients （P<0.05）. The areas under ROC curve （AUC） of GCS score and blood glucose level at admission for predicting early hematoma enlargement of HCH 0875 and 0.819，respectively，significantly lower than that of their combination prediction （0.886，P<0.05）. Conclusion　Low GCS score，high systolic blood pressure at admission，high fasting blood glucose，hematoma irregularity and long-term drinking history at admission are independent risk factors influencing early hematoma enlargement in HCH patients. GCS score combined with blood glucose level at admission is of relatively higher clinical value for predicting early hematoma enlargement in HCH.