[Objective] To examine the grammar model based on lexical substring exac- tion for RNA secondary structure prediction. [Method] By introducing cloud model into stochastic grammar model, a machine learning algorithm su...[Objective] To examine the grammar model based on lexical substring exac- tion for RNA secondary structure prediction. [Method] By introducing cloud model into stochastic grammar model, a machine learning algorithm suitable for the lexicalized stochastic grammar model was proposed. The word grid mode was used to extract and divide RNA sequence to acquire lexical substring, and the cloud classifier was used to search the maximum probability of each lemma which was marked as a certain sec- ondary structure type. Then, the lemma information was introduced into the training stochastic grammar process as prior information, realizing the prediction on the sec- ondary structure of RNA, and the method was tested by experiment. [Result] The experimental results showed that the prediction accuracy and searching speed of stochastic grammar cloud model were significantly improved from the prediction with simple stochastic grammar. [Conclusion] This study laid the foundation for the wide application of stochastic grammar model for RNA secondary structure prediction.展开更多
To expand knowledge on microbial communities of various metal-rich levels of mine drainage environments in Anhui province, China, the archaeal and bacterial diversities were examined using a PCR-based cloning approach...To expand knowledge on microbial communities of various metal-rich levels of mine drainage environments in Anhui province, China, the archaeal and bacterial diversities were examined using a PCR-based cloning approach. Eight acid mine water samples were collected from five areas in Tongling. Phylogenetic analyses revealed that bacteria mainly fell into ten divisions, which were Betaproteobacteria, Gammaproteobacteria, Alphaproteobacteria, Deinococcus-Thermus, Nitrospira, Firmicutes, Actinobacteria, Deltaproteobacteria, Bacteroidetes, Chloroflexi. Archaea fell into three phylogenetic divisions, Thermoplasma, Ferroplasma and Thermogymnomonas. The unweighted pair group method with arithmetic mean（UPGMA） cluster analysis based on the microbial communities’ compositions revealed that five samples shared similarity with the dominance of Meiothermus and Thermomonas. Two samples had the preponderant existence of Acidithiobacillus and Leptospirillum. The remaining sample owned higher microbial communities’ diversity with the Shannon-Weaver H up to 2.91. Canonical correlation analysis（CCA） suggested that microbial community structures had great association with p H and the concentration of Hg2＋, Pb2＋, Fe3＋, Cl-, SO2- 4in water.展开更多
AIM:To analyze the experience within our hospital and to review the literature so as to establish the best means of diagnosis of abdominal tuberculosis. METHODS:The records of 11 patients (4 males,7 females, mean age ...AIM:To analyze the experience within our hospital and to review the literature so as to establish the best means of diagnosis of abdominal tuberculosis. METHODS:The records of 11 patients (4 males,7 females, mean age 39 years,range 18-65 years) diagnosed with abdominal tuberculosis in Harran University Hospital between January 1996 and October 2003 were analyzed retrospectively and the literature was reviewed. RESULTS:Ascites was present in all cases.Other common findings were weight loss (81%),weakness (81%),abdominal mass (72%),abdominal pain (72%),abdominal distension (63%),anorexia (45%) and night sweat (36%).The average hemoglobin was 8.2 g/dL and the average FAR was 50 mm/h (range 30-125).Elevated levels of cancer antigen CA-125 were determined in four patients.Abdominal ultrasound showed abnormalities in all cases:ascites in all,tuboovarian mass in five,omental thickening in 3,and enlarged lymph nodes (mesenteric,para-aortic) in 2.CT scans showed ascites in all,pelvic mass in 5,retroperitoneal lymphadenopathy in 4,mesenteric stranding in 4,omental stranding in 3, bowel wall thickening in 2 and mesenteric lymphadenopathy in 2.Only one patient had a chest radiograph suggestive of a new TB lesion.Two had a positive family history of pulmonary TB.None had acid-fast bacilli (AFB) in the sputum and the tuberculin test was positive in only two.Laparotomy was performed in 6 cases,laparoscopy in 4 and ultrasound- guided fine needle aspiration in 2.In those patients subjected to operation,the findings were multiple diffuse involvement of the visceral and parietal peritoneum,white ‘miliary nodules’or plaques,enlarged lymph nodes,ascites, ‘violin string’fibrinous strands,and omental thickening. Biopsy specimens showed granulomas,while ascitic fluid showed numerous lymphocytes.Both were negative for acid-fast bacilli by staining.PCR of ascitic fluid was positive for Mycobactenum tuberculosis ( M.tuberculosis) in all cases. CONCLUSION:Abdominal TB should be considered in all cases with ascites.Our experience suggests that PCR of ascitic fluid obtained by ultrasound-guided fine needle aspiration is a reliable method for its diagnosis and should at least be attempted before surgical intervention.展开更多
基金Supported by the Science Foundation of Hengyang Normal University of China(09A36)~~
文摘[Objective] To examine the grammar model based on lexical substring exac- tion for RNA secondary structure prediction. [Method] By introducing cloud model into stochastic grammar model, a machine learning algorithm suitable for the lexicalized stochastic grammar model was proposed. The word grid mode was used to extract and divide RNA sequence to acquire lexical substring, and the cloud classifier was used to search the maximum probability of each lemma which was marked as a certain sec- ondary structure type. Then, the lemma information was introduced into the training stochastic grammar process as prior information, realizing the prediction on the sec- ondary structure of RNA, and the method was tested by experiment. [Result] The experimental results showed that the prediction accuracy and searching speed of stochastic grammar cloud model were significantly improved from the prediction with simple stochastic grammar. [Conclusion] This study laid the foundation for the wide application of stochastic grammar model for RNA secondary structure prediction.
基金Project(41171418)supported by the National Natural Science Foundation of China
文摘To expand knowledge on microbial communities of various metal-rich levels of mine drainage environments in Anhui province, China, the archaeal and bacterial diversities were examined using a PCR-based cloning approach. Eight acid mine water samples were collected from five areas in Tongling. Phylogenetic analyses revealed that bacteria mainly fell into ten divisions, which were Betaproteobacteria, Gammaproteobacteria, Alphaproteobacteria, Deinococcus-Thermus, Nitrospira, Firmicutes, Actinobacteria, Deltaproteobacteria, Bacteroidetes, Chloroflexi. Archaea fell into three phylogenetic divisions, Thermoplasma, Ferroplasma and Thermogymnomonas. The unweighted pair group method with arithmetic mean（UPGMA） cluster analysis based on the microbial communities’ compositions revealed that five samples shared similarity with the dominance of Meiothermus and Thermomonas. Two samples had the preponderant existence of Acidithiobacillus and Leptospirillum. The remaining sample owned higher microbial communities’ diversity with the Shannon-Weaver H up to 2.91. Canonical correlation analysis（CCA） suggested that microbial community structures had great association with p H and the concentration of Hg2＋, Pb2＋, Fe3＋, Cl-, SO2- 4in water.
文摘AIM:To analyze the experience within our hospital and to review the literature so as to establish the best means of diagnosis of abdominal tuberculosis. METHODS:The records of 11 patients (4 males,7 females, mean age 39 years,range 18-65 years) diagnosed with abdominal tuberculosis in Harran University Hospital between January 1996 and October 2003 were analyzed retrospectively and the literature was reviewed. RESULTS:Ascites was present in all cases.Other common findings were weight loss (81%),weakness (81%),abdominal mass (72%),abdominal pain (72%),abdominal distension (63%),anorexia (45%) and night sweat (36%).The average hemoglobin was 8.2 g/dL and the average FAR was 50 mm/h (range 30-125).Elevated levels of cancer antigen CA-125 were determined in four patients.Abdominal ultrasound showed abnormalities in all cases:ascites in all,tuboovarian mass in five,omental thickening in 3,and enlarged lymph nodes (mesenteric,para-aortic) in 2.CT scans showed ascites in all,pelvic mass in 5,retroperitoneal lymphadenopathy in 4,mesenteric stranding in 4,omental stranding in 3, bowel wall thickening in 2 and mesenteric lymphadenopathy in 2.Only one patient had a chest radiograph suggestive of a new TB lesion.Two had a positive family history of pulmonary TB.None had acid-fast bacilli (AFB) in the sputum and the tuberculin test was positive in only two.Laparotomy was performed in 6 cases,laparoscopy in 4 and ultrasound- guided fine needle aspiration in 2.In those patients subjected to operation,the findings were multiple diffuse involvement of the visceral and parietal peritoneum,white ‘miliary nodules’or plaques,enlarged lymph nodes,ascites, ‘violin string’fibrinous strands,and omental thickening. Biopsy specimens showed granulomas,while ascitic fluid showed numerous lymphocytes.Both were negative for acid-fast bacilli by staining.PCR of ascitic fluid was positive for Mycobactenum tuberculosis ( M.tuberculosis) in all cases. CONCLUSION:Abdominal TB should be considered in all cases with ascites.Our experience suggests that PCR of ascitic fluid obtained by ultrasound-guided fine needle aspiration is a reliable method for its diagnosis and should at least be attempted before surgical intervention.
