Introduction:Large-scale integration of wind generation brings great challenges to the secure operation of the power systems due to the intermittence nature of wind.The fluctuation of the wind generation has a great i...Introduction:Large-scale integration of wind generation brings great challenges to the secure operation of the power systems due to the intermittence nature of wind.The fluctuation of the wind generation has a great impact on the unit commitment.Thus accurate wind power forecasting plays a key role in dealing with the challenges of power system operation under uncertainties in an economical and technical way.Methods:In this paper,a combined approach based on Extreme Learning Machine(ELM)and an error correction model is proposed to predict wind power in the short-term time scale.Firstly an ELM is utilized to forecast the short-term wind power.Then the ultra-short-term wind power forecasting is acquired based on processing the short-term forecasting error by persistence method.Results:For short-term forecasting,the Extreme Learning Machine(ELM)doesn’t perform well.The overall NRMSE(Normalized Root Mean Square Error)of forecasting results for 66 days is 21.09%.For the ultra-short term forecasting after error correction,most of forecasting errors lie in the interval of[-10 MW,10 MW].The error distribution is concentrated and almost unbiased.The overall NRMSE is 5.76%.Conclusion:The ultra-short-term wind power forecasting accuracy is further improved by using error correction in terms of normalized root mean squared error(NRMSE).展开更多
Introduction:Human noroviruses are the leading cause of acute viral gastroenteritis(AGE)worldwide in all age groups.GII.4 strains have been the predominant genotype circulating globally over the last 2 decades and sin...Introduction:Human noroviruses are the leading cause of acute viral gastroenteritis(AGE)worldwide in all age groups.GII.4 strains have been the predominant genotype circulating globally over the last 2 decades and since 2012.GII.4 Sydney viruses have emerged and caused the majority of AGE outbreaks worldwide.Methods:Data from norovirus outbreaks from the laboratory-based surveillance of norovirus outbreaks in China(CaliciNet China)between October 2016–December 2020 were analyzed.Results:During October 2016–December 2020,1,954 norovirus outbreaks were reported,and positive fecal samples from 1,352(69.19%)outbreaks were genotyped.GII.4 Sydney[P31]viruses accounted for 2.1%(October 2016–August 2017),5.5%(September 2017–August 2018),3.3%(September 2018–August 2018),26.6%(September 2019–August 2020),and and 1.1%(September 2020–December 2020)of GII outbreaks,respectively.Compared to reference strains of GII.4 Sydney[P31]from 2012 to 2013,7 amino acid mutations in epitopes[A(297,372 and 373),B(333),E(414),and H(309 and 310)]and 1 in human histo-blood group antigens binding site at site II 372 were found by analyzing 9 GII.4 Sydney[P31]complete genomic sequences.Conclusions:This report identified the genomic variation of GII.4 Sydney[P31]from CaliciNet China.Continued surveillance with prompt genotyping and genetic analysis is necessary to monitor the emergence of novel GII.4 variants.展开更多
Summary What is already known about this topic?The quadrivalent influenza vaccine(QIV)provides protection against a broader range of influenza strains by including strains of influenza A/H1N1,A/H3N2,B/Yamagata,and B/V...Summary What is already known about this topic?The quadrivalent influenza vaccine(QIV)provides protection against a broader range of influenza strains by including strains of influenza A/H1N1,A/H3N2,B/Yamagata,and B/Victoria.What is added by this report?This study aimed to assess the immunogenicity and safety of administering a single dose compared to two doses of QIV in children,taking into consideration their previous influenza vaccination history.展开更多
Fusarium head blight(FHB)threatens wheat production worldwide.Utilization of FHB resistant varieties is the most effective solution for disease control.Owing to the limited sources of FHB resistance,mining of novel re...Fusarium head blight(FHB)threatens wheat production worldwide.Utilization of FHB resistant varieties is the most effective solution for disease control.Owing to the limited sources of FHB resistance,mining of novel resistance genes is crucial.Here,we report an FHB resistance gene from a wild wheat relative species,Roegneria ciliaris and developed FHB resistant germplasm containing this gene.Wheat-R.ciliaris disomic addition line DA3S^(c) showed enhanced type II FHB resistance compared to its sister line 3S^(c)-Null without chromosome 3S^(c),indicating that the resistance was contributed by the addition of 3S^(c).The resistance gene on 3S^(c) was validated using F_(2) and F_(2:3) populations derived from the cross between DA3S^(c) and susceptible Aikang 58(a susceptible cultivar),demonstrating that the lines with 3S^(c) had significantly enhanced FHB resistance compared to the individuals without 3S^(c).This was the second resistance gene identified in R.ciliaris,designated FhbRc2.To transfer FhbRc2 to common wheat,we produced a doublemonosomic chromosome population by crossing DA3S^(c) with the Chinese Spring nulli-tetrasomic line N3DT3B.Eight alien chromosome lines containing 3S^(c) were identified using genomic/fluorescence in situ hybridization and 3S^(c)-specific marker analysis.Only the lines carrying the long arm of 3S^(c) conferred FHB resistance,further locating FhbRc2 on 3S^(c)L.A compensating wheat-R.ciliaris Robertsonian translocation line T3DS·3S^(c)L harboring FhbRc2 is developed and provides a potential genetic resource in wheat breeding for enhanced FHB resistance.展开更多
Colorectal cancer(CRC)is one of the most common cancers.Patients with advanced CRC can only rely on chemotherapy to improve outcomes.However,primary drug resistance frequently occurs and is difficult to predict.Change...Colorectal cancer(CRC)is one of the most common cancers.Patients with advanced CRC can only rely on chemotherapy to improve outcomes.However,primary drug resistance frequently occurs and is difficult to predict.Changes in plasma protein composition have shown potential in clinical diagnosis.Thus,it is urgent to identify potential protein biomarkers for primary resistance to chemotherapy for patients with CRC.Automatic sample preparation and high-throughput analysis were used to explore potential plasma protein biomarkers.Drug susceptibility testing of circulating tumor cells(CTCs)has been investigated,and the relationship between their values and protein expressions has been discussed.In addition,the differential proteins in different chemotherapy outcomes have been analyzed.Finally,the potential biomarkers have been detected via enzyme-linked immunosorbent assay(ELISA).Plasma proteome of 60 CRC patients were profiled.The correlation between plasma protein levels and the results of drug susceptibility testing of CTCs was performed,and 85 proteins showed a significant positive or negative correlation with chemotherapy resistance.Forty-four CRC patients were then divided into three groups according to their chemotherapy outcomes(objective response,stable disease,and progressive disease),and 37 differential proteins were found to be related to chemotherapy resistance.The overlapping proteins were further investigated in an additional group of 79 patients using ELISA.Protein levels of F5 and PROZ significantly increased in the progressive disease group compared to other outcome groups.Our study indicated that F5 and PROZ proteins could represent potential biomarkers of resistance to chemotherapy in advanced CRC patients.展开更多
Reducing the input wind and photovoltaic power time series data can improve the efficiency of time sequential simulations.In this paper,a wind and photovoltaic power time series data aggregation method based on an ens...Reducing the input wind and photovoltaic power time series data can improve the efficiency of time sequential simulations.In this paper,a wind and photovoltaic power time series data aggregation method based on an ensemble clustering and Markov chain(ECMC)is proposed.The ECMC method can effectively reduce redundant information in the data.First,the wind and photovoltaic power time series data were divided into scenarios,and ensemble clustering was used to cluster the divided scenarios.At the same time,the Davies-Bouldin Index(DBI)is adopted to select the optimal number of clusters.Then,according to the temporal correlation between wind and photovoltaic scenarios,the wind and photovoltaic clustering results are merged and reduced to form a set of combined typical day scenarios that can reflect the characteristics of historical data within the calculation period.Finally,based on the Markov Chain,the state transition probability matrix of various combined typical day scenarios is constructed,and the aggregation state sequence of random length is generated,and then,the combined typical day scenarios of wind and photovoltaic were sampled in a sequential one-way sequence according to the state sequence and then are built into a representative wind and photovoltaic power time series aggregation sequence.A provincial power grid was chosen as an example to compare the multiple evaluation indexes of different aggregation methods.The results show that the ECMC aggregation method improves the accuracy and efficiency of time sequential simulations.展开更多
Objective:Circulating tumor cells(CTCs)play a critical role in cancer metastasis,but their prevalence and significance remain unclear.This study attempted to track the epithelial-mesenchymal transition(EMT)status of C...Objective:Circulating tumor cells(CTCs)play a critical role in cancer metastasis,but their prevalence and significance remain unclear.This study attempted to track the epithelial-mesenchymal transition(EMT)status of CTCs in breast cancer patients and investigate their clinical relevance.Methods:In this study,the established negFACS-IF:E/M platform was applied to isolate rare CTCs and characterize their EMT status in breast cancer.A total of 89 breast cancer patients were recruited,including stage 0–III(n=60)and late stage(n=29)cases.Results:Using the negFACS-IF:E/M platform,it was found that in human epidermal growth factor receptor 2(HER2)+patients,mesenchymal CTCs usually exhibited a high percentage of HER2+cells.Stage IV breast cancer patients had considerably more CTCs than stage 0–III patients.Among stage 0–III breast cancers,the HER2 subtype included a significantly higher percentage of mesenchymal and biphenotypic(epithelial and mesenchymal)CTCs than the luminal A or B subtypes.Among stage IV patients,CTCs were predominantly epithelial in cases with local recurrence and were more mesenchymal in cases with distant metastasis.By applying a support vector machine(SVM)algorithm,the EMT status of CTCs could distinguish between breast cancer cases with metastasis/local recurrence and those without recurrence.Conclusions:The negFACS-IF:E/M platform provides a flexible and generally acceptable method for the highly sensitive and specific detection of CTCs and their EMT traits in breast cancer.This study demonstrated that the EMT status of CTCs had high clinical relevance in breast cancer,especially in predicting the distant metastasis or local recurrence of breast cancer.展开更多
<strong>Objective:</strong> To investigate the therapeutic effect of Shenmai Injection on postoperative cerebral vasospasm in patients with ruptured aneurysms. <strong>Methods:</strong> Seventy...<strong>Objective:</strong> To investigate the therapeutic effect of Shenmai Injection on postoperative cerebral vasospasm in patients with ruptured aneurysms. <strong>Methods:</strong> Seventy patients undergoing craniotomy for ruptured aneurysms in our hospital were selected as study subjects and randomly divided into control (n = 33) and research (n = 37) groups, they were treated with nimodipine and nimodipine combined with Shenmai injection after operation. The blood flow velocity in the middle cerebral artery (MCA) before and at 1, 3, 7, 11 and 14 days after surgery and the incidence of cerebral vasospasm during these days were compared, and the GCS scores at 14 days postoperatively and GOS scores at 6 months postoperatively were compared between the two groups.<strong> Results:</strong> There were no statistically significant differences in the occurrence of cerebral vasospasm, GCS or GOS scores between the two groups (<em>P</em> > 0.05), but the period of postoperative cerebral vasospasm in the study group was significantly shorter than that in the control group. <strong>Conclusion:</strong> Shenmai injection has the effect of shortening the cycle of occurrence of cerebral vasospasm after the operation of ruptured aneurysms, promoting patients to recover as early as possible and reducing their physical and mental burden.展开更多
基金supported by National Natural Science Foundation of China under grants 51477174 and 51077126the Key Project of Chinese Ministry of Education under Grant 109017The authors also acknowledge Specialized Research Fund for the Doctoral Program of Higher Education of China under contract 20110008110042 and the support from China Electric Power Research Institute under contract DZB51201503568.
文摘Introduction:Large-scale integration of wind generation brings great challenges to the secure operation of the power systems due to the intermittence nature of wind.The fluctuation of the wind generation has a great impact on the unit commitment.Thus accurate wind power forecasting plays a key role in dealing with the challenges of power system operation under uncertainties in an economical and technical way.Methods:In this paper,a combined approach based on Extreme Learning Machine(ELM)and an error correction model is proposed to predict wind power in the short-term time scale.Firstly an ELM is utilized to forecast the short-term wind power.Then the ultra-short-term wind power forecasting is acquired based on processing the short-term forecasting error by persistence method.Results:For short-term forecasting,the Extreme Learning Machine(ELM)doesn’t perform well.The overall NRMSE(Normalized Root Mean Square Error)of forecasting results for 66 days is 21.09%.For the ultra-short term forecasting after error correction,most of forecasting errors lie in the interval of[-10 MW,10 MW].The error distribution is concentrated and almost unbiased.The overall NRMSE is 5.76%.Conclusion:The ultra-short-term wind power forecasting accuracy is further improved by using error correction in terms of normalized root mean squared error(NRMSE).
基金Supported by the Key Project of Science and Technology(Grant No.2017ZX10104001-003)China-US Collaborative Program on Emerging and Re-emerging Infectious Disease(1U01GH 002224).
文摘Introduction:Human noroviruses are the leading cause of acute viral gastroenteritis(AGE)worldwide in all age groups.GII.4 strains have been the predominant genotype circulating globally over the last 2 decades and since 2012.GII.4 Sydney viruses have emerged and caused the majority of AGE outbreaks worldwide.Methods:Data from norovirus outbreaks from the laboratory-based surveillance of norovirus outbreaks in China(CaliciNet China)between October 2016–December 2020 were analyzed.Results:During October 2016–December 2020,1,954 norovirus outbreaks were reported,and positive fecal samples from 1,352(69.19%)outbreaks were genotyped.GII.4 Sydney[P31]viruses accounted for 2.1%(October 2016–August 2017),5.5%(September 2017–August 2018),3.3%(September 2018–August 2018),26.6%(September 2019–August 2020),and and 1.1%(September 2020–December 2020)of GII outbreaks,respectively.Compared to reference strains of GII.4 Sydney[P31]from 2012 to 2013,7 amino acid mutations in epitopes[A(297,372 and 373),B(333),E(414),and H(309 and 310)]and 1 in human histo-blood group antigens binding site at site II 372 were found by analyzing 9 GII.4 Sydney[P31]complete genomic sequences.Conclusions:This report identified the genomic variation of GII.4 Sydney[P31]from CaliciNet China.Continued surveillance with prompt genotyping and genetic analysis is necessary to monitor the emergence of novel GII.4 variants.
基金Supported by the National Natural Science Foundation of China(82222062)the Jiangsu Provincial Science Fund for Distinguished Young Scholars(BK20220064).
文摘Summary What is already known about this topic?The quadrivalent influenza vaccine(QIV)provides protection against a broader range of influenza strains by including strains of influenza A/H1N1,A/H3N2,B/Yamagata,and B/Victoria.What is added by this report?This study aimed to assess the immunogenicity and safety of administering a single dose compared to two doses of QIV in children,taking into consideration their previous influenza vaccination history.
基金supported by Science and Technology Innovation 2030-Major Project (2023ZD04025)the Fundamental Research Funds for the Central Universities (XUEKEN2022012,YDZX202301)+3 种基金Zhongshan Biological Breeding Laboratory (ZSBBL)ZSBBL-KY2023-02-2,Jiangsu Provincial Key Research and Development Program (BE2022346,BE2021375)Seed Industry Revitalization Project of Jiangsu Province (JBGS (2021)006,JBGS (2021)013 and JBGS (2021)047)the Joint Research of Improved Wheat Variety of Anhui,the Key Research and the Jiangsu Agricultural Technology System (JATS) ([2023]422)Natural Science Foundation of Shanghai (22ZR1444900).
文摘Fusarium head blight(FHB)threatens wheat production worldwide.Utilization of FHB resistant varieties is the most effective solution for disease control.Owing to the limited sources of FHB resistance,mining of novel resistance genes is crucial.Here,we report an FHB resistance gene from a wild wheat relative species,Roegneria ciliaris and developed FHB resistant germplasm containing this gene.Wheat-R.ciliaris disomic addition line DA3S^(c) showed enhanced type II FHB resistance compared to its sister line 3S^(c)-Null without chromosome 3S^(c),indicating that the resistance was contributed by the addition of 3S^(c).The resistance gene on 3S^(c) was validated using F_(2) and F_(2:3) populations derived from the cross between DA3S^(c) and susceptible Aikang 58(a susceptible cultivar),demonstrating that the lines with 3S^(c) had significantly enhanced FHB resistance compared to the individuals without 3S^(c).This was the second resistance gene identified in R.ciliaris,designated FhbRc2.To transfer FhbRc2 to common wheat,we produced a doublemonosomic chromosome population by crossing DA3S^(c) with the Chinese Spring nulli-tetrasomic line N3DT3B.Eight alien chromosome lines containing 3S^(c) were identified using genomic/fluorescence in situ hybridization and 3S^(c)-specific marker analysis.Only the lines carrying the long arm of 3S^(c) conferred FHB resistance,further locating FhbRc2 on 3S^(c)L.A compensating wheat-R.ciliaris Robertsonian translocation line T3DS·3S^(c)L harboring FhbRc2 is developed and provides a potential genetic resource in wheat breeding for enhanced FHB resistance.
基金National Natural Science Foundation of China,Grant/Award Numbers:32171433,81900034Natural Science Foundation of Fujian Province,Grant/Award Number:2021J01255。
文摘Colorectal cancer(CRC)is one of the most common cancers.Patients with advanced CRC can only rely on chemotherapy to improve outcomes.However,primary drug resistance frequently occurs and is difficult to predict.Changes in plasma protein composition have shown potential in clinical diagnosis.Thus,it is urgent to identify potential protein biomarkers for primary resistance to chemotherapy for patients with CRC.Automatic sample preparation and high-throughput analysis were used to explore potential plasma protein biomarkers.Drug susceptibility testing of circulating tumor cells(CTCs)has been investigated,and the relationship between their values and protein expressions has been discussed.In addition,the differential proteins in different chemotherapy outcomes have been analyzed.Finally,the potential biomarkers have been detected via enzyme-linked immunosorbent assay(ELISA).Plasma proteome of 60 CRC patients were profiled.The correlation between plasma protein levels and the results of drug susceptibility testing of CTCs was performed,and 85 proteins showed a significant positive or negative correlation with chemotherapy resistance.Forty-four CRC patients were then divided into three groups according to their chemotherapy outcomes(objective response,stable disease,and progressive disease),and 37 differential proteins were found to be related to chemotherapy resistance.The overlapping proteins were further investigated in an additional group of 79 patients using ELISA.Protein levels of F5 and PROZ significantly increased in the progressive disease group compared to other outcome groups.Our study indicated that F5 and PROZ proteins could represent potential biomarkers of resistance to chemotherapy in advanced CRC patients.
基金supported by the National Key R&D Program of China(2017YFB0902200)Science and Technology Project of State Grid Corporation of China(4000-202255057A-1-1-ZN,5228001700CW).
文摘Reducing the input wind and photovoltaic power time series data can improve the efficiency of time sequential simulations.In this paper,a wind and photovoltaic power time series data aggregation method based on an ensemble clustering and Markov chain(ECMC)is proposed.The ECMC method can effectively reduce redundant information in the data.First,the wind and photovoltaic power time series data were divided into scenarios,and ensemble clustering was used to cluster the divided scenarios.At the same time,the Davies-Bouldin Index(DBI)is adopted to select the optimal number of clusters.Then,according to the temporal correlation between wind and photovoltaic scenarios,the wind and photovoltaic clustering results are merged and reduced to form a set of combined typical day scenarios that can reflect the characteristics of historical data within the calculation period.Finally,based on the Markov Chain,the state transition probability matrix of various combined typical day scenarios is constructed,and the aggregation state sequence of random length is generated,and then,the combined typical day scenarios of wind and photovoltaic were sampled in a sequential one-way sequence according to the state sequence and then are built into a representative wind and photovoltaic power time series aggregation sequence.A provincial power grid was chosen as an example to compare the multiple evaluation indexes of different aggregation methods.The results show that the ECMC aggregation method improves the accuracy and efficiency of time sequential simulations.
基金mostly supported through the funding provided by the National Natural Science Foundation of China(Grant No.81702866)the Key Program of the Natural Science Foundation of Zhejiang Province(Grant No.LZ16H160002)+2 种基金the Zhejiang Provincial Program for the Cultivation of HighLevel Innovative Health Talentsthe Foundation of the Education Department of Zhejiang Province(Grant No.Y201636451)partially supported through funding provided by the National Natural Science Foundation of China(Grant No.81472666)。
文摘Objective:Circulating tumor cells(CTCs)play a critical role in cancer metastasis,but their prevalence and significance remain unclear.This study attempted to track the epithelial-mesenchymal transition(EMT)status of CTCs in breast cancer patients and investigate their clinical relevance.Methods:In this study,the established negFACS-IF:E/M platform was applied to isolate rare CTCs and characterize their EMT status in breast cancer.A total of 89 breast cancer patients were recruited,including stage 0–III(n=60)and late stage(n=29)cases.Results:Using the negFACS-IF:E/M platform,it was found that in human epidermal growth factor receptor 2(HER2)+patients,mesenchymal CTCs usually exhibited a high percentage of HER2+cells.Stage IV breast cancer patients had considerably more CTCs than stage 0–III patients.Among stage 0–III breast cancers,the HER2 subtype included a significantly higher percentage of mesenchymal and biphenotypic(epithelial and mesenchymal)CTCs than the luminal A or B subtypes.Among stage IV patients,CTCs were predominantly epithelial in cases with local recurrence and were more mesenchymal in cases with distant metastasis.By applying a support vector machine(SVM)algorithm,the EMT status of CTCs could distinguish between breast cancer cases with metastasis/local recurrence and those without recurrence.Conclusions:The negFACS-IF:E/M platform provides a flexible and generally acceptable method for the highly sensitive and specific detection of CTCs and their EMT traits in breast cancer.This study demonstrated that the EMT status of CTCs had high clinical relevance in breast cancer,especially in predicting the distant metastasis or local recurrence of breast cancer.
文摘<strong>Objective:</strong> To investigate the therapeutic effect of Shenmai Injection on postoperative cerebral vasospasm in patients with ruptured aneurysms. <strong>Methods:</strong> Seventy patients undergoing craniotomy for ruptured aneurysms in our hospital were selected as study subjects and randomly divided into control (n = 33) and research (n = 37) groups, they were treated with nimodipine and nimodipine combined with Shenmai injection after operation. The blood flow velocity in the middle cerebral artery (MCA) before and at 1, 3, 7, 11 and 14 days after surgery and the incidence of cerebral vasospasm during these days were compared, and the GCS scores at 14 days postoperatively and GOS scores at 6 months postoperatively were compared between the two groups.<strong> Results:</strong> There were no statistically significant differences in the occurrence of cerebral vasospasm, GCS or GOS scores between the two groups (<em>P</em> > 0.05), but the period of postoperative cerebral vasospasm in the study group was significantly shorter than that in the control group. <strong>Conclusion:</strong> Shenmai injection has the effect of shortening the cycle of occurrence of cerebral vasospasm after the operation of ruptured aneurysms, promoting patients to recover as early as possible and reducing their physical and mental burden.
