Comprehensive evaluation methods are generally used to assess the population data. When we need to estimate the sample data in special situations, the impacts brought by the sampling error should be considered. Due to lack of the accurate measurement for the sensitivity and stability in the comprehensive evaluation methods, sampling errors usually cannot be estimated in the sampling research. Monte Carlo simulation was used in this article to solve the probability of the ordering results, and the matlab programs were presented. Based on the simulated results, we change the conventional “absolute conclusion” of comprehensive evaluation methods to “probability results” for the sample data, and put forward a new sorting and ranking method for the results of comprehensive evaluation.

Objective To investigate the key procedures of the acute traumatic intracranial hematoma com-bined with herniation and the prognosis factors. Methods 45 cases of acute traumatic intraeranial hematoma com-bined with herniation from February 1997 to June 2008 were admitted in our hospital. Timely establishment of effec-tive ventilation and circulation and pre-operative examination were done to all the eases. Craniotomy hematoma clean was performed in 8 cases, hematoma clean and decompressive craniectomy was canducted in 33 cases and 4 cases were not operatively treated. Results 26 eases (58%) were cured,and 19 cases (42%) died. Conclusions The key procedures of the acute tranmatie intraeranial hematoma combined with herniation is timely establishment of ef-fective ventilation and circulation, and that is effective method to prevent secondary brain injury ; removing hematoma as soon as possible,and lifting the oppression of the brain stem are the keys to rescue patients. Prognosis is closely related to the degree of primary brain injury, eonseious level before operation and the time of herniation appearance.

Objective To investigate the total number, reasons, and distributing characteristics of vagrant psychosis patients in Xi'an. Methods The colony random sample in 4 objective research units from 2005 to 2010 in Xi'an, Shaanxi were included. Databank was set up according to the total number of vagrant psychosis patients based on basic information. Grading statistics was used. Results Total number of vagrant psychosis patients and salvation needs increased year by year in Xi'an. Home return and social assistance were the main approaches for distributing characteristics of medical assistance. Conclusion The total number of vagrant psychosis patients is relative large. Such number is increasing year by year in Xi'an. A better treatment and diagnostic system for vagrant psychosis patients should be set up governmentally as quickly as possible.

Objective The single-trial extraction method of evoked potential has been one of the problems in EEG information processing field.According to the characteristics of somatosensory evoked electroencephalogram (EEG) with low signal-to-noise ratio and large parameter variation between trials,a novel single-trial extraction method for evoked potentials was proposed.This method aims to further improve the accuracy and characteristics of the single-trial extraction algorithm,preserve more dynamic characteristics between trials,and improve the estimation accuracy.Methods Based on wavelet filtering and multiple linear analysis,a new single-trial extraction method for EEG P300 parameters was proposed by applying the adaptive dynamic feature library.Four groups of wavelet filtered evoked EEG data were randomly selected,and used to build the feature library using overlapping average method and principal component analysis.For the single-trial extracted EEG data,the component with the highest correlation coefficient related with the current data was selected as the independent variable from the feature library,and the relevant multiple linear regression analysis was conducted.The single-trial evoked potential signal was reconstructed by the regression analysis results,in which the key features such as latency and amplitude were automatically extracted.Results Compared with the benchmark values determined by experts,the proposed algorithn can obtain more accurate estimation values of latency and amplitude in P300 components.The average difference of latency and amplitude by the proposed algorithm is (11.16±8.60) ms and (1.40±1.34)μV,respectively.These two values obtained by the proposed algorithm are much closer to that obtained by the commonly used overlapping average method of (23.26±25.76) ms and (2.52±2.50) μV,respectively.These results show that the proposed algorithm has significant advantages comparing with the traditional multiple linear regression analysis algorithm.Conclusions The dynamic updating principal component sample library of EEG data was applied to wavelet filtering and multiple linear regression,thus the dynamic characteristics were effectively preserved,and the accuracy of parameter estimation was improved.

Objective To investigate the characteristics of brain network based on brain electrical activity induced by somatosensory electrical stimulation,and to provide a theoretical basis for further understanding the mechanism of brain neural plasticity induced by somatosensory electrical stimulation.Methods Ten healthy subjects were selected and a somatosensory electrical stimulation experiment was constructed based on the directed transfer function (DTF).In the experiment,the DTF causal connection matrixes of the 32-channel EEG data of Delta,Theta,Alpha and Beta bands were obtained under the somatosensory electrical target and non-target stimulation,and the differences of clustering coefficient and global efficiency between two stimulation states were contrasted based on graph theory.Results Under the target stimulation and non-target stimulation states,the regions with stronger DTA causal connections were mainly concentrated in FCz,Cz,CPz and Pz channels.The causal connection intensity under target stimulation state was greater than that of non-target stimulation.Also,in the Delta,Theta,and Alpha bands,the clustering coefficient under the target stimulation state was significantly higher than that in the non-target stimulation state (P＜0.05).In the Delta and Theta bands,the global efficiency of the target stimulation state was significantly higher than that of the non-target stimulation state (P＜0.05).Conclusions Somatosensory electrical stimulation can activate and induce EEG brain networks.In the target stimulation state,the role of the parietal lobe in the EEG causal network is enhanced,which helps to induce attention to specific brain region plasticity,and thus realizing the nerve rehabilitation in the brain regions of interest.While in the non-target stimulation state,the synergistic interactions between brain regions were enhanced,which helps to activate and induce a wide range of associations in the whole brain network,so as to promote the global neural activity in the brain.

Objective:To explore the diagnosis, surgical methods and therapeutic effect of primary duodenal malignant tumor.Methods:The clinical data of 116 patients with primary duodenal malignant tumor from January 2010 to December 2018 were retrospectively analyzed.Results:Among 116 patients, adenocarcinoma was in 74 cases, interstitial tumor was in 25 cases, carcinoid was in 9 cases, the others was in 8 cases. Before operation, duodenoscopy was performed in 107 cases, and CT examination was performed in 76 cases. There were 57 cases of pancreaticoduodenectomy, 15 cases of duodenal segmental resection, 13 cases of subtotal gastrectomy and duodenal bulbar resection, 13 cases of duodenal partial resection, and 18 cases of palliative short circuit operation. The total incidence of postoperative complication was 31.9% (37/116), including pancreatic fistula in 8 cases (grade B 5 cases, grade C 3 cases), biliary fistula in 6 cases, abdominal infection in 5 cases, pulmonary infection in 4 cases, intestinal fistula in 3 cases, delayed gastric emptying in 3 cases, and hemorrhage in 8 cases. Four cases (3.4%) died during the perioperative period. Single factor Cox regression analysis result showed that the postoperative survival time was related to the tumor differentiation degree, operation method, tumor infiltration degree and lymphatic metastasis ( P<0.05 or <0.01); multi-factor Cox regression analysis results showed that the operation method, tumor infiltration degree and lymphatic metastasis were the independent risk factors for the postoperative survival time of patients with primary duodenal malignant tumor ( P<0.05). The patients were followed up until June 2021, and 9 cases were lost to follow-up. Kaplan-Meier survival curve analysis result showed that the postoperative overall 1-,3- and 5-year survival rates were 82.11%, 57.56% and 33.11%, respectively. Conclusions:Adenocarcinoma is the main primary malignant tumor of duodenum. Duodenoscopy and CT are the main examination methods. Radical resection is the most effective treatment for primary duodenal malignant tumor, and pancreaticoduodenectomy is the first choice. Surgical method, tumor infiltration degree and lymphatic metastasis are the independent risk factors affecting the prognosis of patients.

Plants with alien genomic components (alien chromosomes / chromosomal fragments / genes) are important materials for genomic research and crop improvement. To date, four strategies based on trait observation, chromosome analysis, specific proteins, and DNA sequences have been developed for the identification of alien genomic components. Among them, DNA sequence-based molecular markers are mainly used to identify alien genomic components. This review summarized several molecular markers for identification of alien genomic components in wheat, cabbage and other important crops. We also compared the characteristics of nine common molecular markers, such as simple sequence repeat (SSR), insertion-deletion (InDel) and single nucleotide polymorphism (SNP). In general, the accuracy of using a combination of different identification methods is higher than using a single identification method. We analyzed the application of different combination of identification methods, and provided the best combination for wheat, brassica and other crops. High-throughput detection can be easily achieved by using the new generation molecular markers such as InDel and SNP, which can be used to determine the precise localization of alien introgression genes. To increase the identification efficiency, other new identification methods, such as microarray comparative genomic hybridization (array-CGH) and suppression subtractive hybridization (SSH), may also be included.
Chromosomes, Plant ; Comparative Genomic Hybridization ; Genome, Plant/genetics* ; Genomics ; Triticum/genetics*