The outcomes of ovarian cancer are complicated and usually unfavorable due to their diagnoses at a late stage.Identifying the efficient prognostic biomarkers to improve the survival of ovarian cancer is urgently warra...The outcomes of ovarian cancer are complicated and usually unfavorable due to their diagnoses at a late stage.Identifying the efficient prognostic biomarkers to improve the survival of ovarian cancer is urgently warranted.The survival-related pseudogenes retrieved from the Cancer Genome Atlas database were screened by univariate Cox regression analysis and further assessed by least absolute shrinkage and selection operator(LASSO)method.A risk score model based on the prognostic pseudogenes was also constructed.The pseudogene-mRNA regulatory networks were established using correlation analysis,and their potent roles in the ovarian cancer progression were uncovered by functional enrichment analysis.Lastly,ssGSEA and ESTIMATE algorithms was used to evaluate the levels of immune cell infiltrations in cancer tissues and explore their relationship with risk signature.A prediction model of 10-pseudogenes including RPL10P6,AC026688.1,FAR2P4,AL391840.2,AC068647.2,FAM35BP,GBP1P1,ARL4AP5,RPS3AP2,and AMD1P1 was established.The 10-pseudogenes signature was demonstrated to be an independent prognostic factor in patient with ovarian cancer in the random set(hazard ratio[HR]=2.512,95%confidence interval[CI]=2.03–3.11,P<0.001)and total set(HR=1.71,95%CI=1.472–1.988,P<0.001).When models integrating with age,grade,stage,and risk signature,the Area Under Curve(AUC)of the 1-year,3-year,5-year and 10-year Receiver Operating Characteristic curve in the random set and total set were 0.854,0.824,0.855,0.805 and 0.679,0.697,0.739,0.790,respectively.The results of functional enrichment analysis indicated that the underlying mechanisms by which these pseudogenes influence cancer prognosis may involve the immune-related biological processes and signaling pathways.Correlation analysis showed that risk signature was significantly correlated with immune cell infiltration and immune score.We identified a novel 10-pseudogenes signature to predict the survival of patients with ovarian cancer,and that may serve as novel possible prognostic biomarkers and therapeutic targets for ovarian cancer.展开更多
This paper presents a robust interval economic dispatch(RIED)model for power systems with large-scale wind power integration.Differing from existing interval optimization(IO)approaches that merely rely on the upper an...This paper presents a robust interval economic dispatch(RIED)model for power systems with large-scale wind power integration.Differing from existing interval optimization(IO)approaches that merely rely on the upper and lower boundaries of random variables,the distribution information retained in the historical data is introduced to the IO method in this paper.Based on the available probability distribution function(PDF),wind power curtailment and load shedding are quantified as the operational risk and incorporated into the decision-making process.In this model,we need not rely on the forecasted value of wind power,which is randomly fluctuating and quite unpredictable.Furthermore,when the PDFs of wind power are taken into account,the resulting dispatch solution makes a good tradeoff between the generation cost and the operational risk.Finally,the RIED model yields an optimal dispatch solution for thermal units and the allowable intervals of wind power for the wind farms,which efficiently mitigates the uncertainty in wind power generation and provides more practical suggestions for system operators.Simulation studies are conducted on a modified IEEE-118 bus system and the results verify the effectiveness of the proposed RIED model.展开更多
Background Non-pharmaceutical measures and travel restrictions have halted the spread of coronavirus disease 2019(COVID-19)and influenza.Nonetheless,with COVID-19 restrictions lifted,an unanticipated outbreak of the i...Background Non-pharmaceutical measures and travel restrictions have halted the spread of coronavirus disease 2019(COVID-19)and influenza.Nonetheless,with COVID-19 restrictions lifted,an unanticipated outbreak of the influ-enza B/Nictoria virus in late 2021 and another influenza H3N2 outbreak in mid-2022 occurred in Guangdong,southern China.The mechanism underlying this phenomenon remains unknown.To better prepare for potential influenza out-breaks during COVID-19 pandemic,we studied the molecular epidemiology and phylogenetics of influenza A(H3N2)and BNictoria that circulated during the COVID-19 pandemic in this region.Methods From January 1,2018 to December 31,2022,we collected throat swabs from 173,401 patients in Guang-dong who had acute respiratory tract infections.Influenza viruses in the samples were tested using reverse tran-scription-polymerase chain reaction,followed by subtype identification and sequencing of hemagglutinin(HA)and neuraminidase(NA)genes.Phylogenetic and genetic diversity analyses were performed on both genes from 403 samples.A rigorous molecular clock was aligned with the phylogenetic tree to measure the rate of viral evolution and the root-to-tip distance within strains in different years was assessed using regression curve models to determine the correlation.Results During the early period of COVID-19 control,various influenza viruses were nearly undetectable in respiratory specimens.When control measures were relaxed in January 2020,the influenza infection rate peaked at 4.94%(39/789)in December 2021,with the influenza B/Victoria accounting for 87.18%(34/39)of the total influenza cases.Six months later,the influenza infection rate again increased and peaked at 11.34%(255/2248)in June 2022;influenza A/H3N2 accounted for 94.51%(241/255)of the total influenza cases in autumn 2022.The diverse geographic distribution of HA genes of B/Nictoria and A/H3N2 had drastically reduced,and most strains originated from China.The rate of B/Victoria HA evolution(3.11×10^(-3),P<0.05)was 1.7 times faster than before the COVID-19 outbreak(1.80×10^(-3),P<0.05).Likewise,the H3N2 HA gene's evolution rate was 7.96×10^(-3)(P<0.05),which is 2.1 times faster than the strains'pre-COVID-19 evolution rate(3.81×10^(-3),P<0.05).Conclusions Despite the extraordinarily low detection rate of influenza infection,concealed influenza transmission may occur between individuals during strict COVID-19 control.This ultimately leads to the accumulation of viral mutations and accelerated evolution of H3N2 and BVictoria viruses.Monitoring the evolution of influenza may provide insights and alerts regarding potential epidemics in the future.展开更多
High density alloys with enhanced deformability and strength are urgently required in energy,military and nuclear industries,etc.In this work,we present a new kind of NiCoFeCrMoW high entropy alloys(HEAs)which possess...High density alloys with enhanced deformability and strength are urgently required in energy,military and nuclear industries,etc.In this work,we present a new kind of NiCoFeCrMoW high entropy alloys(HEAs)which possess higher densities and sound velocities than copper.We systematically investigate the phase structure,quasi-static tensile,dynamic compression and related deformation mechanism of these HEAs.It is shown that single FCC or FCC+μdual phases were formed in the HEAs depending on Mo and W content and annealing temperature.Excellent quasi-static tensile and dynamic compression properties have been achieved for these HEAs,e.g.Ni_(30)Co_(30)Fe_(21)Cr_(10)W_(9)HEA annealed at 1573 K exhibited a yield and ultimate tensile strength and elongation of~364 MPa,~866 MPa and~32%,respectively,in quasi-static test;a yield strength of~710 MPa and no fracture under the dynamic strain rate of 4100 s^(-1).Superior strain rate sensitivity(SRS)of yield strength than that of previously reported FCC HEAs have been evidenced.The dynamic stress-strain constitutive relation can be described by the modified Johnson-Cook model.As for the dynamic deformation mechanism,it is envisaged that the regulation of stacking fault energy and Peierls barrier in current HEAs resulted in occurrences of abundant nanoscale deformation twins and microbands during high strain rate compression.The synergistic microbanding and twinning effectively contributes to the enhanced dynamic deformability and strengthening effect.Besides,the interactions of dislocations with precipitates,stacking faults(SFs)with twins,and between SFs also contribute to extraordinary work-hardening capacity.展开更多
基金supported by the National Natural Science Foundation of China Grants 81872127,81602289(FQ)81872694,81673267,81473040(JL)+3 种基金81402753,81672303,81871876(LY)Guangzhou Science Research Program General Project Grant 201707010123(FQ)Guangzhou Municipal Scientific Research Project Grant 1201630073(FQ)Guangdong High School Young Innovative Talents Project Grant 2015KQNCX136(FQ).
文摘The outcomes of ovarian cancer are complicated and usually unfavorable due to their diagnoses at a late stage.Identifying the efficient prognostic biomarkers to improve the survival of ovarian cancer is urgently warranted.The survival-related pseudogenes retrieved from the Cancer Genome Atlas database were screened by univariate Cox regression analysis and further assessed by least absolute shrinkage and selection operator(LASSO)method.A risk score model based on the prognostic pseudogenes was also constructed.The pseudogene-mRNA regulatory networks were established using correlation analysis,and their potent roles in the ovarian cancer progression were uncovered by functional enrichment analysis.Lastly,ssGSEA and ESTIMATE algorithms was used to evaluate the levels of immune cell infiltrations in cancer tissues and explore their relationship with risk signature.A prediction model of 10-pseudogenes including RPL10P6,AC026688.1,FAR2P4,AL391840.2,AC068647.2,FAM35BP,GBP1P1,ARL4AP5,RPS3AP2,and AMD1P1 was established.The 10-pseudogenes signature was demonstrated to be an independent prognostic factor in patient with ovarian cancer in the random set(hazard ratio[HR]=2.512,95%confidence interval[CI]=2.03–3.11,P<0.001)and total set(HR=1.71,95%CI=1.472–1.988,P<0.001).When models integrating with age,grade,stage,and risk signature,the Area Under Curve(AUC)of the 1-year,3-year,5-year and 10-year Receiver Operating Characteristic curve in the random set and total set were 0.854,0.824,0.855,0.805 and 0.679,0.697,0.739,0.790,respectively.The results of functional enrichment analysis indicated that the underlying mechanisms by which these pseudogenes influence cancer prognosis may involve the immune-related biological processes and signaling pathways.Correlation analysis showed that risk signature was significantly correlated with immune cell infiltration and immune score.We identified a novel 10-pseudogenes signature to predict the survival of patients with ovarian cancer,and that may serve as novel possible prognostic biomarkers and therapeutic targets for ovarian cancer.
基金supported by the National Natural Science Foundation of China(51937005)the Natural Science Foundation of Guangdong Province(2019A1515010689)the Oversea Study Program of Guangzhou Elite Project(GEP).
文摘This paper presents a robust interval economic dispatch(RIED)model for power systems with large-scale wind power integration.Differing from existing interval optimization(IO)approaches that merely rely on the upper and lower boundaries of random variables,the distribution information retained in the historical data is introduced to the IO method in this paper.Based on the available probability distribution function(PDF),wind power curtailment and load shedding are quantified as the operational risk and incorporated into the decision-making process.In this model,we need not rely on the forecasted value of wind power,which is randomly fluctuating and quite unpredictable.Furthermore,when the PDFs of wind power are taken into account,the resulting dispatch solution makes a good tradeoff between the generation cost and the operational risk.Finally,the RIED model yields an optimal dispatch solution for thermal units and the allowable intervals of wind power for the wind farms,which efficiently mitigates the uncertainty in wind power generation and provides more practical suggestions for system operators.Simulation studies are conducted on a modified IEEE-118 bus system and the results verify the effectiveness of the proposed RIED model.
文摘Background Non-pharmaceutical measures and travel restrictions have halted the spread of coronavirus disease 2019(COVID-19)and influenza.Nonetheless,with COVID-19 restrictions lifted,an unanticipated outbreak of the influ-enza B/Nictoria virus in late 2021 and another influenza H3N2 outbreak in mid-2022 occurred in Guangdong,southern China.The mechanism underlying this phenomenon remains unknown.To better prepare for potential influenza out-breaks during COVID-19 pandemic,we studied the molecular epidemiology and phylogenetics of influenza A(H3N2)and BNictoria that circulated during the COVID-19 pandemic in this region.Methods From January 1,2018 to December 31,2022,we collected throat swabs from 173,401 patients in Guang-dong who had acute respiratory tract infections.Influenza viruses in the samples were tested using reverse tran-scription-polymerase chain reaction,followed by subtype identification and sequencing of hemagglutinin(HA)and neuraminidase(NA)genes.Phylogenetic and genetic diversity analyses were performed on both genes from 403 samples.A rigorous molecular clock was aligned with the phylogenetic tree to measure the rate of viral evolution and the root-to-tip distance within strains in different years was assessed using regression curve models to determine the correlation.Results During the early period of COVID-19 control,various influenza viruses were nearly undetectable in respiratory specimens.When control measures were relaxed in January 2020,the influenza infection rate peaked at 4.94%(39/789)in December 2021,with the influenza B/Victoria accounting for 87.18%(34/39)of the total influenza cases.Six months later,the influenza infection rate again increased and peaked at 11.34%(255/2248)in June 2022;influenza A/H3N2 accounted for 94.51%(241/255)of the total influenza cases in autumn 2022.The diverse geographic distribution of HA genes of B/Nictoria and A/H3N2 had drastically reduced,and most strains originated from China.The rate of B/Victoria HA evolution(3.11×10^(-3),P<0.05)was 1.7 times faster than before the COVID-19 outbreak(1.80×10^(-3),P<0.05).Likewise,the H3N2 HA gene's evolution rate was 7.96×10^(-3)(P<0.05),which is 2.1 times faster than the strains'pre-COVID-19 evolution rate(3.81×10^(-3),P<0.05).Conclusions Despite the extraordinarily low detection rate of influenza infection,concealed influenza transmission may occur between individuals during strict COVID-19 control.This ultimately leads to the accumulation of viral mutations and accelerated evolution of H3N2 and BVictoria viruses.Monitoring the evolution of influenza may provide insights and alerts regarding potential epidemics in the future.
基金the National Science and Technology Major Project of China(No.J2019-Ⅵ-0004-0117)the National Natural Science Foundation of China(No.52001024)the Fundamental Research Funds for the Central Universities(Nos.FRF-TP-19-037A1 and FRF-GF-19-027B)。
文摘High density alloys with enhanced deformability and strength are urgently required in energy,military and nuclear industries,etc.In this work,we present a new kind of NiCoFeCrMoW high entropy alloys(HEAs)which possess higher densities and sound velocities than copper.We systematically investigate the phase structure,quasi-static tensile,dynamic compression and related deformation mechanism of these HEAs.It is shown that single FCC or FCC+μdual phases were formed in the HEAs depending on Mo and W content and annealing temperature.Excellent quasi-static tensile and dynamic compression properties have been achieved for these HEAs,e.g.Ni_(30)Co_(30)Fe_(21)Cr_(10)W_(9)HEA annealed at 1573 K exhibited a yield and ultimate tensile strength and elongation of~364 MPa,~866 MPa and~32%,respectively,in quasi-static test;a yield strength of~710 MPa and no fracture under the dynamic strain rate of 4100 s^(-1).Superior strain rate sensitivity(SRS)of yield strength than that of previously reported FCC HEAs have been evidenced.The dynamic stress-strain constitutive relation can be described by the modified Johnson-Cook model.As for the dynamic deformation mechanism,it is envisaged that the regulation of stacking fault energy and Peierls barrier in current HEAs resulted in occurrences of abundant nanoscale deformation twins and microbands during high strain rate compression.The synergistic microbanding and twinning effectively contributes to the enhanced dynamic deformability and strengthening effect.Besides,the interactions of dislocations with precipitates,stacking faults(SFs)with twins,and between SFs also contribute to extraordinary work-hardening capacity.