Hepatitis B virus （HBV）-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potent...Hepatitis B virus （HBV）-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potential of using metabolites as biomarkers for liver failure by identifying metabolites with good discriminative performance for its phenotype. The serum samples from 24 HBV-indueed liver failure patients and 23 healthy volunteers were collected and analyzed by gas chromatography-mass spectrometry （GC-MS） to generate metabolite profiles. The 24 patients were further grouped into two classes according to the severity of liver failure. Twenty-five eommensal peaks in all metabolite profiles were extracted, and the relative area values of these peaks were used as features for each sample. Three algorithms, F-test, k-nearest neighbor （KNN） and fuzzy support vector machine （FSVM） combined with exhaustive search （ES）, were employed to identify a subset of metabolites （biomarkers） that best predict liver failure. Based on the achieved experimental dataset, 93.62% predictive accuracy by 6 features was selected with FSVM-ES and three key metabolites, glyeerie acid, cis-aeonitie acid and citric acid, are identified as potential diagnostic biomarkers.展开更多
Background Glutamic acid decarboxylase antibody （GADA） and protein tyrosine phosphatase antibody （IA-2A） are two major autoantibodies, which exert important roles in the process of type 1 diabetes mellitus （T1D）...Background Glutamic acid decarboxylase antibody （GADA） and protein tyrosine phosphatase antibody （IA-2A） are two major autoantibodies, which exert important roles in the process of type 1 diabetes mellitus （T1D）. Our study aimed to investigate the changes in positivity and titers of GADA and IA-2A during the course of Chinese acute-onset T1D patients and their relationships with clinical features.展开更多
The development of clean steel technology at Baosteel can be dated back to the first production of IF steels and pipeline steels in the early 1990s.Now the technology has gradually covered nearly the whole range of pr...The development of clean steel technology at Baosteel can be dated back to the first production of IF steels and pipeline steels in the early 1990s.Now the technology has gradually covered nearly the whole range of products.This progressive development is introduced in the overview including the levels of cleanliness for some steel grades at Baosteel.The technologies at different processes for the production of clean steel and the removal of some impurity elements in molten steel are also discussed.Suggestions are given on the future research and development of clean steel technology at Baosteel in the aim to keep a sustainable development,which should focus on the basic research,inclusion control and making efficient use of inclusions,as well as stable and reliable low-cost manufacturing technology,removal of harmful residual elements,and the expanding of the technology to stainless steels and special steels.展开更多
In the context of global warming,precipitation forms are likely to transform from snowfall to rainfall with a more pronounced trend.The change in precipitation forms will inevitably affect the processes of regional ru...In the context of global warming,precipitation forms are likely to transform from snowfall to rainfall with a more pronounced trend.The change in precipitation forms will inevitably affect the processes of regional runoff generation and confluence as well as the annual distribution of runoff.Most researchers used precipitation data from the CMIP5 model directly to study future precipitation trends without distinguishing between snowfall and rainfall.CMIP5 models have been proven to have better performance in simulating temperature but poorer performance in simulating precipitation.To overcome the above limitations,this paper used a Back Propagation Neural Network(BNN)to predict the rainfall-to-precipitation ratio(RPR)in months experiencing freezing-thawing transitions(FTTs).We utilized the meteorological(air pressure,air temperature,evaporation,relative humidity,wind speed,sunshine hours,surface temperature),topographic(altitude,slope,aspect)and geographic(longitude,latitude)data from 28 meteorological stations in the Chinese Tianshan Mountains region(CTMR)from 1961 to 2018 to calculate the RPR and constructed an index system of impact factors.Based on the BNN,decision-making trial and evaluation laboratory method(BP-DEMATEL),the key factors driving the transformation of the RPR in the CTMR were identified.We found that temperature was the only key factor affecting the transformation of the RPR in the BP-DEMATEL model.Considering the relationship between temperature and the RPR,the future temperature under different representative concentration pathways(RCPs)(RCP2.6/RCP4.5/RCP8.5)provided by 21 CMIP5 models and the meteorological factors from meteorological stations were input into the BNN model to acquire the future RPR from 2011 to 2100.The results showed that under the three scenarios,the RPR in the number of months experiencing FTTs during 2011-2100 will be higher than that in the historical period(1981-2010)in the CTMR.Furthermore,in terms of spatial variation,the RPR values on the south slope will be larger展开更多
BACKGROUND Synchronous primary cancers(SPCs) have become increasingly frequent over the past decade.However,the coexistence of duodenal papillary and gallbladder cancers is rare,and such cases have not been previously...BACKGROUND Synchronous primary cancers(SPCs) have become increasingly frequent over the past decade.However,the coexistence of duodenal papillary and gallbladder cancers is rare,and such cases have not been previously reported in the English literature.Here,we describe an SPC case with duodenal papilla and gallbladder cancers and its diagnosis and successful management.CASE SUMMARY A 68-year-old Chinese man was admitted to our hospital with the chief complaint of dyspepsia for the past month.Contrast-enhanced computed tomography of the abdomen performed at the local hospital revealed dilatation of the bile and pancreatic ducts and a space-occupying lesion in the duodenal papilla.Endoscopy revealed a tumor protruding from the duodenal papilla.Pathological findings for the biopsied tissue revealed tubular villous growth with moderate heterogeneous hyperplasia.Surgical treatment was selected.Macroscopic examination of this surgical specimen revealed a 2-cm papillary tumor and another tumor protruding by 0.5 cm in the gallbladder neck duct.Intraoperative rapid pathology identified adenocarcinoma in the gallbladder neck duct and tubular villous adenoma with high-grade intraepithelial neoplasia and local canceration in the duodenal papilla.After an uneventful postoperative recovery,the patient was discharged without complications.CONCLUSION It is essential for clinicians and pathologists to maintain a high degree of suspicion while evaluating such synchronous cancers.展开更多
基金Project supported by the Postdoctoral Science Foundation of China(No.20070410397)the National Natural Science Foundation of China(No.60705002)the Science and Technology Project of Zhejiang Province,China(No.2005C13026)
文摘Hepatitis B virus （HBV）-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potential of using metabolites as biomarkers for liver failure by identifying metabolites with good discriminative performance for its phenotype. The serum samples from 24 HBV-indueed liver failure patients and 23 healthy volunteers were collected and analyzed by gas chromatography-mass spectrometry （GC-MS） to generate metabolite profiles. The 24 patients were further grouped into two classes according to the severity of liver failure. Twenty-five eommensal peaks in all metabolite profiles were extracted, and the relative area values of these peaks were used as features for each sample. Three algorithms, F-test, k-nearest neighbor （KNN） and fuzzy support vector machine （FSVM） combined with exhaustive search （ES）, were employed to identify a subset of metabolites （biomarkers） that best predict liver failure. Based on the achieved experimental dataset, 93.62% predictive accuracy by 6 features was selected with FSVM-ES and three key metabolites, glyeerie acid, cis-aeonitie acid and citric acid, are identified as potential diagnostic biomarkers.
文摘Background Glutamic acid decarboxylase antibody （GADA） and protein tyrosine phosphatase antibody （IA-2A） are two major autoantibodies, which exert important roles in the process of type 1 diabetes mellitus （T1D）. Our study aimed to investigate the changes in positivity and titers of GADA and IA-2A during the course of Chinese acute-onset T1D patients and their relationships with clinical features.
文摘The development of clean steel technology at Baosteel can be dated back to the first production of IF steels and pipeline steels in the early 1990s.Now the technology has gradually covered nearly the whole range of products.This progressive development is introduced in the overview including the levels of cleanliness for some steel grades at Baosteel.The technologies at different processes for the production of clean steel and the removal of some impurity elements in molten steel are also discussed.Suggestions are given on the future research and development of clean steel technology at Baosteel in the aim to keep a sustainable development,which should focus on the basic research,inclusion control and making efficient use of inclusions,as well as stable and reliable low-cost manufacturing technology,removal of harmful residual elements,and the expanding of the technology to stainless steels and special steels.
基金financially supported by the National Natural Science Foundation of China(41761014,42161025,42101096)the Strategic Priority Research Program of Chinese Academy of Sciences(Grant No.XDA20020201)the Foundation of A Hundred Youth Talents Training Program of Lanzhou Jiaotong University,and the Excellent Platform of Lanzhou Jiaotong University。
文摘In the context of global warming,precipitation forms are likely to transform from snowfall to rainfall with a more pronounced trend.The change in precipitation forms will inevitably affect the processes of regional runoff generation and confluence as well as the annual distribution of runoff.Most researchers used precipitation data from the CMIP5 model directly to study future precipitation trends without distinguishing between snowfall and rainfall.CMIP5 models have been proven to have better performance in simulating temperature but poorer performance in simulating precipitation.To overcome the above limitations,this paper used a Back Propagation Neural Network(BNN)to predict the rainfall-to-precipitation ratio(RPR)in months experiencing freezing-thawing transitions(FTTs).We utilized the meteorological(air pressure,air temperature,evaporation,relative humidity,wind speed,sunshine hours,surface temperature),topographic(altitude,slope,aspect)and geographic(longitude,latitude)data from 28 meteorological stations in the Chinese Tianshan Mountains region(CTMR)from 1961 to 2018 to calculate the RPR and constructed an index system of impact factors.Based on the BNN,decision-making trial and evaluation laboratory method(BP-DEMATEL),the key factors driving the transformation of the RPR in the CTMR were identified.We found that temperature was the only key factor affecting the transformation of the RPR in the BP-DEMATEL model.Considering the relationship between temperature and the RPR,the future temperature under different representative concentration pathways(RCPs)(RCP2.6/RCP4.5/RCP8.5)provided by 21 CMIP5 models and the meteorological factors from meteorological stations were input into the BNN model to acquire the future RPR from 2011 to 2100.The results showed that under the three scenarios,the RPR in the number of months experiencing FTTs during 2011-2100 will be higher than that in the historical period(1981-2010)in the CTMR.Furthermore,in terms of spatial variation,the RPR values on the south slope will be larger
基金Supported by the Jiaxing Science and Technology Plan Project (Civil Science and Technology Innovation Project),No. 2019AY32028。
文摘BACKGROUND Synchronous primary cancers(SPCs) have become increasingly frequent over the past decade.However,the coexistence of duodenal papillary and gallbladder cancers is rare,and such cases have not been previously reported in the English literature.Here,we describe an SPC case with duodenal papilla and gallbladder cancers and its diagnosis and successful management.CASE SUMMARY A 68-year-old Chinese man was admitted to our hospital with the chief complaint of dyspepsia for the past month.Contrast-enhanced computed tomography of the abdomen performed at the local hospital revealed dilatation of the bile and pancreatic ducts and a space-occupying lesion in the duodenal papilla.Endoscopy revealed a tumor protruding from the duodenal papilla.Pathological findings for the biopsied tissue revealed tubular villous growth with moderate heterogeneous hyperplasia.Surgical treatment was selected.Macroscopic examination of this surgical specimen revealed a 2-cm papillary tumor and another tumor protruding by 0.5 cm in the gallbladder neck duct.Intraoperative rapid pathology identified adenocarcinoma in the gallbladder neck duct and tubular villous adenoma with high-grade intraepithelial neoplasia and local canceration in the duodenal papilla.After an uneventful postoperative recovery,the patient was discharged without complications.CONCLUSION It is essential for clinicians and pathologists to maintain a high degree of suspicion while evaluating such synchronous cancers.
