火炬气的排放系统设计是一个非常复杂的过程,涉及到各泄放点的背压与管路马赫数的计算。介绍了Aspen Flare System Analyzer模拟软件的特点及应用方法,该软件遵循API的规范要求,通过计算火炬管网中各管段始末点的压力、温度、流速等参数...火炬气的排放系统设计是一个非常复杂的过程,涉及到各泄放点的背压与管路马赫数的计算。介绍了Aspen Flare System Analyzer模拟软件的特点及应用方法,该软件遵循API的规范要求,通过计算火炬管网中各管段始末点的压力、温度、流速等参数,可有效发现设计中的不合理管径并进行修改。以中东某油田地面工程项目为例,阐述了在工程实际中如何通过该软件进行火炬管网核算。高压火炬管网的核算结果显示,部分安全阀尾管背压和马赫数过大,经软件修改后的尺寸在实际运行中可满足火炬气的排放要求,保证了系统安全。表明了该软件在安全阀的选型和火炬管网的设计工作中的应用价值。展开更多
对Aspen Flare System Analyzer在天然气化工合成氨装置火炬管网设计中的应用进行了研究。首先阐述了化工装置火炬管网设计相关专业名词;其次介绍了Aspen Flare System Analyzer软件在火炬管网中计算方法、建模设计原则及应用范围;最后...对Aspen Flare System Analyzer在天然气化工合成氨装置火炬管网设计中的应用进行了研究。首先阐述了化工装置火炬管网设计相关专业名词;其次介绍了Aspen Flare System Analyzer软件在火炬管网中计算方法、建模设计原则及应用范围;最后结合某合成氨装置火炬系统实际案例进行了分析。结果表明:工程师在应用Aspen Flare System Analyzer进行火炬管网设计时可优先根据工程经验预先给定管道尺寸,选择Rating模式计算,能够获得满足生产要求的且更为合理的火炬管网尺寸,同时可以提高火炬管网设计的效率。展开更多
火炬管网的核算是工厂设计中的一个重要环节,其核算过程十分复杂,涉及多个环节,如排放负荷测量、管网压降测量、泄流装置背压和马赫数测量等。本文简要介绍了Aspen Flare System Analyzer软件的计算模型,并将其应用到一改扩建项目的火...火炬管网的核算是工厂设计中的一个重要环节,其核算过程十分复杂,涉及多个环节,如排放负荷测量、管网压降测量、泄流装置背压和马赫数测量等。本文简要介绍了Aspen Flare System Analyzer软件的计算模型,并将其应用到一改扩建项目的火炬管网核算,根据软件结果修改了部分火炬管网设计,满足了装置排放气泄放要求,保障了系统的安全运行。展开更多
The observational line of sight velocity fields of a large post flare loop(PFL) system on August 17,1989 were derived based on “multi cloud model” (MCM) method from the Hβ spectral data obtained with the two dimens...The observational line of sight velocity fields of a large post flare loop(PFL) system on August 17,1989 were derived based on “multi cloud model” (MCM) method from the Hβ spectral data obtained with the two dimensional Multi Waveband Spectra Spectro Helio Graph (MW SSHG) at Yunnan Observatory. In order to explain the fundamental features of the velocity fields observed,an assumption and approximation to be taken into account that the matter within a loop system rises up from the loop foot to the loop top along the loop leg in a helical magnetic line under the combined action of solar gravity, magnetic stress and a gradient of atmospheric pressure in the loop system, and a theoretical velocity field of the loop system was calcuated with the aid of MHD theory. From a comparison of both velocity fields, it is found that the computed velocity field is basically similar with the observed one. It indicates that the assumption and approximation mentioned above are suitable basically.展开更多
We analyze the evolution of Hβ monochromatic images and Hβ velocity fields of the flare loops system on June 4, 1991. It is the first time to demonstrate directly the dynamic process of the energy storage, transport...We analyze the evolution of Hβ monochromatic images and Hβ velocity fields of the flare loops system on June 4, 1991. It is the first time to demonstrate directly the dynamic process of the energy storage, transportation and release of the twisting magnetic fields in the flare process.展开更多
Solar flare prediction is an important subject in the field of space weather.Deep learning technology has greatly promoted the development of this subject.In this study,we propose a novel solar flare forecasting model...Solar flare prediction is an important subject in the field of space weather.Deep learning technology has greatly promoted the development of this subject.In this study,we propose a novel solar flare forecasting model integrating Deep Residual Network(ResNet)and Support Vector Machine(SVM)for both≥C-class(C,M,and X classes)and≥M-class(M and X classes)flares.We collected samples of magnetograms from May 1,2010 to September 13,2018 from Space-weather Helioseismic and Magnetic Imager(HMI)Active Region Patches and then used a cross-validation method to obtain seven independent data sets.We then utilized five metrics to evaluate our fusion model,based on intermediate-output extracted by ResNet and SVM using the Gaussian kernel function.Our results show that the primary metric true skill statistics(TSS)achieves a value of 0.708±0.027 for≥C-class prediction,and of 0.758±0.042 for≥M-class prediction;these values indicate that our approach performs significantly better than those of previous studies.The metrics of our fusion model’s performance on the seven datasets indicate that the model is quite stable and robust,suggesting that fusion models that integrate an excellent baseline network with SVM can achieve improved performance in solar flare prediction.Besides,we also discuss the performance impact of architectural innovation in our fusion model.展开更多
In this study we review the occurrence of different types (A, B, C, M, and X classes) of solar flares during different solar cycle phases from 1996 to 2019 covering the solar cycles 23 and 24. During this period, a to...In this study we review the occurrence of different types (A, B, C, M, and X classes) of solar flares during different solar cycle phases from 1996 to 2019 covering the solar cycles 23 and 24. During this period, a total of 19,126 solar flares were observed regardless the class: 3548 flares in solar cycle 23 (SC23) and 15,668 flares in solar cycle 24 (SC24). Our findings show that the cycle 23 has observed the highest occurrences of M-class and X-class flares, whereas cycle 24 has pointed out a predominance of B-class and C-class flares throughout its different phases. The results indicate that the cycle 23 was magnetically more intense than cycle 24, leading to more powerful solar flares and more frequent geomagnetic storms, capable of generating significant electromagnetic emissions that can affect satellites and GPS signals. The decrease in intense solar flares during cycle 24 compared to cycle 23 reflects an evolution in solar activity patterns over time.展开更多
BACKGROUND Systemic lupus erythematosus(SLE)patients are admitted to the intensive care unit(ICU)for disease flares and infections,both of which carry a high mortality risk.Studies characterizing the outcome predictor...BACKGROUND Systemic lupus erythematosus(SLE)patients are admitted to the intensive care unit(ICU)for disease flares and infections,both of which carry a high mortality risk.Studies characterizing the outcome predictors of SLE are few in the Asian continent.This study characterized the clinical profile,treatment,and outcome predictors of ICU admissions with SLE.AIM To ascertain the reasons for ICU admission among SLE patients and to explore outcome predictors in these patients.The primary outcome was ICU mortality.Secondary outcomes included need for ventilation,inotropes,renal replacement therapy,and length of ICU and hospital stay.METHODS A retrospective study of 77 SLE patients was conducted in the medical ICU of a tertiary care teaching hospital in India.Clinical features,treatment,and outcomes of patients admitted between January 2018 and December 2022 were recorded.Factors associated with mortality were explored using bivariate and multivariate logistic regression analysis and reported as adjusted odds ratios with 95%confidence intervals.RESULTS The mean(SD)age was 31.1(10.3)years;83.1%were female.The median(interquartile)duration of SLE before admission was 12(1-60)months;SLE was newly diagnosed in the current admission in 23.4%.The median Acute Physiology and Chronic Health Evaluation II score was 16.3(14.5-18.2)and similar among survivors and nonsurvivors;32 had evidence of disease flare,44 had an infection,and one patient had an intracranial bleed.ICU admission was for respiratory failure(46.7%),hemodynamic instability(32.5%),and status epilepticus(14.3%).Twenty-nine patients(37.7%)had autoimmune hemolytic anemia,and 11(14.3%)had diffuse alveolar hemorrhage.Immunomodulation included corticosteroids(96.1%),cyclophosphamide(33.8%),mycophenolate(23.4%),plasma exchange(13%),and immunoglobulins(11.7%).All patients received broad-spectrum antibiotics.Respiratory support,inotropes,and renal replacement therapy were required in 93.5%,51.7%,and 32.5%,respectively.ICU mortality was 50.7%(95%confidence interval:39%-62%).The mean±SD hospital length of stay was 18.9±14.3 days.On multivariate analysis,only shock(P=0.004)was independently associated with mortality.CONCLUSION Intercurrent infection and disease flare are common reasons for ICU admission in SLE patients.Despite multimodal therapy,mortality is high.Shock was independently associated with mortality.展开更多
The caption of Figure 5 should be:Wind/WAVES type II burst starting around 14 MHz(∼12:05 UT,2017 September 6)and continuing down to∼100 kHz(09:00 UT,2017 September 7).The end time is marked by the short vertical lin...The caption of Figure 5 should be:Wind/WAVES type II burst starting around 14 MHz(∼12:05 UT,2017 September 6)and continuing down to∼100 kHz(09:00 UT,2017 September 7).The end time is marked by the short vertical line with its length indicating the bandwidth(70-130 kHz).The horizontal error bars signify the end time uncertainty.The vertical dashed line marks the SGRE end(06:28 UT,September 7);the horizontal dashed line represents the gamma-ray background.The shock arrival time at 1 au is labeled“SH”(Gopalswamy et al.2018).展开更多
The detection of stellar flares is crucial to understanding dynamic processes at the stellar surface and their potential impact on surrounding exoplanetary systems.Extensive time series data acquired by the Transiting...The detection of stellar flares is crucial to understanding dynamic processes at the stellar surface and their potential impact on surrounding exoplanetary systems.Extensive time series data acquired by the Transiting Exoplanet Survey Satellite(TESS)offer valuable opportunities for large-scale flare studies.A variety of methods is currently employed for flare detection,with machine learning(ML)approaches demonstrating strong potential for automated classification tasks,particularly for the analysis of astronomical time series.This review provides an overview of the methods used to detect stellar flares in TESS data and evaluates their performance and effectiveness.It includes our assessment of both traditional detection techniques and more recent methods,such as ML algorithms,highlighting their strengths and limitations.By addressing current challenges and identifying promising approaches,this manuscript aims to support further studies and promote the development of stellar flare research.展开更多
Solar flares are violent solar outbursts which have a great influence on the space environment surrounding Earth,potentially causing disruption of the ionosphere and interference with the geomagnetic field,thus causin...Solar flares are violent solar outbursts which have a great influence on the space environment surrounding Earth,potentially causing disruption of the ionosphere and interference with the geomagnetic field,thus causing magnetic storms.Consequently,it is very important to accurately predict the time period of solar flares.This paper proposes a flare prediction model,based on physical images of active solar regions.We employ X-ray flux curves recorded directly by the Geostationary Operational Environmental Satellite,used as input data for the model,allowing us to largely avoid the influence of accidental errors,effectively improving the model prediction efficiency.A model based on the X-ray flux curve can predict whether there will be a flare event within 24 hours.The reverse can also be verified by the peak of the X-ray flux curve to see if a flare has occurred within the past 24 hours.The True Positive Rate and False Positive Rate of the prediction model,based on physical images of active regions are 0.6070 and 0.2410 respectively,and the accuracy and True Skill Statistics are 0.7590 and 0.5556.Our model can effectively improve prediction efficiency compared with models based on the physical parameters of active regions or magnetic field records,providing a simple method for solar flare prediction.展开更多
Transition on a flared cone with zero angle of at- tack was studied in our newly established Mach 6 quiet wind tunnel （M6QT） via wall pressure measurement and flow visualization. High-frequency pressure transducers ...Transition on a flared cone with zero angle of at- tack was studied in our newly established Mach 6 quiet wind tunnel （M6QT） via wall pressure measurement and flow visualization. High-frequency pressure transducers were used to measure the second-mode waves＇ amplitudes and frequencies. Using pulsed schlieren diagnostic and Rayleigh scattering technique, we got a clear evolution of the second-mode disturbances. The second-mode waves exist for a long distance, which means that the second-mode waves grow linearly in a large region. Strong Mach waves are radiated from the edge of the boundary layer. With further development, the second-mode waves reach their maximum magnitude and harmonics of the second-mode instability appear. Then the disturbances grow nonlinearly. The second modes become weak and merge with each other. Finally, the nonlinear interaction of disturbance leads to a relatively quiet zone, which further breaks down, resulting in the transition of the bound- ary layer. Our results show that transition is determined by the second mode. The quiet zone before the final breakdown is observed in flow visualization for the first time. Eventual transition requires the presence of a quiet zone generated by nonlinear interactions.展开更多
This study was designed to compare the impact of post and core systems on resistance to fracture of endodontically treated anterior teeth with flared root canals and to assess their fracture pattern. Sixty central inc...This study was designed to compare the impact of post and core systems on resistance to fracture of endodontically treated anterior teeth with flared root canals and to assess their fracture pattern. Sixty central incisors were cut horizontally 2 mm coronal to the cementoenamel junction(CEJ). After root canal therapy, teeth were assigned into 6 groups(n = 10 each) based on a post system and used as follows: Group C, non-flared root received size #1 glass fiber posts(Control); Group AP, flared root restored with anatomical post; Group RC, flared root restored with size #1 fiber post and cemented with thick layer of resin cement; Group CR, flared root restored with size #1 and reinforced with composite resin; Group CM, cast post-core; Group CP, CAD/CAM polymer-infiltrated ceramic post and core.Following post cementation, core build-up and crown insertion, the specimens were thermo-cycled up to 10,000 cycles(5 C/55 C; 30 seconds dwell time, 6 seconds transition time) and then statically loaded at 1 mm/minute crosshead speed using a universal testing machine. One-way ANOVA and Tukey HSD post hoc test(α= 0.05) were used for data analysis. Group C recorded significantly higher resistance to fracture values [(826.9±39.1) N] followed by group CP [(793.8±55.6) N] while group RC yielded the lowest fracture resistance values [(586.7±51.4) N]. The resistance to fracture of wide root canals can be enhanced by using one-piece CAM/CAM post and core as an alternative to the use of either glass fiber post, relined with composite resin increasing the thickness of luting cement or the use of cast post and core system. However, this was an in vitro investigation and further in vivo studies are necessary.展开更多
A method combining the support vector machine （SVM） the K-Nearest Neighbors （KNN）, labelled the SVM-KNN method, is used to construct a solar flare forecasting model. Based on a proven relationship between SVM and ...A method combining the support vector machine （SVM） the K-Nearest Neighbors （KNN）, labelled the SVM-KNN method, is used to construct a solar flare forecasting model. Based on a proven relationship between SVM and KNN, the SVM-KNN method improves the SVM algorithm of classification by taking advantage of the KNN algorithm according to the distribution of test samples in a feature space. In our flare forecast study, sunspots and 10cm radio flux data observed during Solar Cycle 23 are taken as predictors, and whether an M class flare will occur for each active region within two days will be predicted. The SVM- KNN method is compared with the SVM and Neural networks-based method. The test results indicate that the rate of correct predictions from the SVM-KNN method is higher than that from the other two methods. This method shows promise as a practicable future forecasting model.展开更多
The hepatitis C virus(HCV)causes an acute infection that is frequently asymptomatic,but a spontaneous eradication of HCV infection occurs only in one-third of patients.The remaining two-thirds develop a chronic infect...The hepatitis C virus(HCV)causes an acute infection that is frequently asymptomatic,but a spontaneous eradication of HCV infection occurs only in one-third of patients.The remaining two-thirds develop a chronic infection that,in most cases,shows an indolent course and a slow progression to the more advanced stagesof the illness.Nearly a quarter of cases with chronic hepatitis C(CHC)develop liver cirrhosis with or without hepatocellular carcinoma.The indolent course of the illness may be troubled by the occurrence of a hepatic flare,i.e.,a spontaneous acute exacerbation of CHC due to changes in the immune response,immunosuppression and subsequent restoration,and is characterized by an increase in serum aminotransferase values,a frequent deterioration in liver fibrosis and necroinflammation but also a high frequency of sustained viral response to pegylated interferon plus ribavirin treatment.A substantial increase in serum aminotransferase values during the clinical course of CHC may also be a consequence of a superinfection by other hepatotropic viruses,namely hepatitis B virus(HBV),HBV plus hepatitis D virus,hepatitis E virus,cytomegalovirus,particularly in geographical areas with high endemicity levels.The etiology of a hepatic flare in patients with CHC should always be defined to optimize follow-up procedures and clinical and therapeutic decisions.展开更多
文摘火炬气的排放系统设计是一个非常复杂的过程,涉及到各泄放点的背压与管路马赫数的计算。介绍了Aspen Flare System Analyzer模拟软件的特点及应用方法,该软件遵循API的规范要求,通过计算火炬管网中各管段始末点的压力、温度、流速等参数,可有效发现设计中的不合理管径并进行修改。以中东某油田地面工程项目为例,阐述了在工程实际中如何通过该软件进行火炬管网核算。高压火炬管网的核算结果显示,部分安全阀尾管背压和马赫数过大,经软件修改后的尺寸在实际运行中可满足火炬气的排放要求,保证了系统安全。表明了该软件在安全阀的选型和火炬管网的设计工作中的应用价值。
文摘对Aspen Flare System Analyzer在天然气化工合成氨装置火炬管网设计中的应用进行了研究。首先阐述了化工装置火炬管网设计相关专业名词;其次介绍了Aspen Flare System Analyzer软件在火炬管网中计算方法、建模设计原则及应用范围;最后结合某合成氨装置火炬系统实际案例进行了分析。结果表明:工程师在应用Aspen Flare System Analyzer进行火炬管网设计时可优先根据工程经验预先给定管道尺寸,选择Rating模式计算,能够获得满足生产要求的且更为合理的火炬管网尺寸,同时可以提高火炬管网设计的效率。
文摘火炬管网的核算是工厂设计中的一个重要环节,其核算过程十分复杂,涉及多个环节,如排放负荷测量、管网压降测量、泄流装置背压和马赫数测量等。本文简要介绍了Aspen Flare System Analyzer软件的计算模型,并将其应用到一改扩建项目的火炬管网核算,根据软件结果修改了部分火炬管网设计,满足了装置排放气泄放要求,保障了系统的安全运行。
文摘The observational line of sight velocity fields of a large post flare loop(PFL) system on August 17,1989 were derived based on “multi cloud model” (MCM) method from the Hβ spectral data obtained with the two dimensional Multi Waveband Spectra Spectro Helio Graph (MW SSHG) at Yunnan Observatory. In order to explain the fundamental features of the velocity fields observed,an assumption and approximation to be taken into account that the matter within a loop system rises up from the loop foot to the loop top along the loop leg in a helical magnetic line under the combined action of solar gravity, magnetic stress and a gradient of atmospheric pressure in the loop system, and a theoretical velocity field of the loop system was calcuated with the aid of MHD theory. From a comparison of both velocity fields, it is found that the computed velocity field is basically similar with the observed one. It indicates that the assumption and approximation mentioned above are suitable basically.
文摘We analyze the evolution of Hβ monochromatic images and Hβ velocity fields of the flare loops system on June 4, 1991. It is the first time to demonstrate directly the dynamic process of the energy storage, transportation and release of the twisting magnetic fields in the flare process.
基金supported by the National Key R&D Program of China (Grant No.2022YFF0503700)the National Natural Science Foundation of China (42074196, 41925018)
文摘Solar flare prediction is an important subject in the field of space weather.Deep learning technology has greatly promoted the development of this subject.In this study,we propose a novel solar flare forecasting model integrating Deep Residual Network(ResNet)and Support Vector Machine(SVM)for both≥C-class(C,M,and X classes)and≥M-class(M and X classes)flares.We collected samples of magnetograms from May 1,2010 to September 13,2018 from Space-weather Helioseismic and Magnetic Imager(HMI)Active Region Patches and then used a cross-validation method to obtain seven independent data sets.We then utilized five metrics to evaluate our fusion model,based on intermediate-output extracted by ResNet and SVM using the Gaussian kernel function.Our results show that the primary metric true skill statistics(TSS)achieves a value of 0.708±0.027 for≥C-class prediction,and of 0.758±0.042 for≥M-class prediction;these values indicate that our approach performs significantly better than those of previous studies.The metrics of our fusion model’s performance on the seven datasets indicate that the model is quite stable and robust,suggesting that fusion models that integrate an excellent baseline network with SVM can achieve improved performance in solar flare prediction.Besides,we also discuss the performance impact of architectural innovation in our fusion model.
文摘In this study we review the occurrence of different types (A, B, C, M, and X classes) of solar flares during different solar cycle phases from 1996 to 2019 covering the solar cycles 23 and 24. During this period, a total of 19,126 solar flares were observed regardless the class: 3548 flares in solar cycle 23 (SC23) and 15,668 flares in solar cycle 24 (SC24). Our findings show that the cycle 23 has observed the highest occurrences of M-class and X-class flares, whereas cycle 24 has pointed out a predominance of B-class and C-class flares throughout its different phases. The results indicate that the cycle 23 was magnetically more intense than cycle 24, leading to more powerful solar flares and more frequent geomagnetic storms, capable of generating significant electromagnetic emissions that can affect satellites and GPS signals. The decrease in intense solar flares during cycle 24 compared to cycle 23 reflects an evolution in solar activity patterns over time.
文摘BACKGROUND Systemic lupus erythematosus(SLE)patients are admitted to the intensive care unit(ICU)for disease flares and infections,both of which carry a high mortality risk.Studies characterizing the outcome predictors of SLE are few in the Asian continent.This study characterized the clinical profile,treatment,and outcome predictors of ICU admissions with SLE.AIM To ascertain the reasons for ICU admission among SLE patients and to explore outcome predictors in these patients.The primary outcome was ICU mortality.Secondary outcomes included need for ventilation,inotropes,renal replacement therapy,and length of ICU and hospital stay.METHODS A retrospective study of 77 SLE patients was conducted in the medical ICU of a tertiary care teaching hospital in India.Clinical features,treatment,and outcomes of patients admitted between January 2018 and December 2022 were recorded.Factors associated with mortality were explored using bivariate and multivariate logistic regression analysis and reported as adjusted odds ratios with 95%confidence intervals.RESULTS The mean(SD)age was 31.1(10.3)years;83.1%were female.The median(interquartile)duration of SLE before admission was 12(1-60)months;SLE was newly diagnosed in the current admission in 23.4%.The median Acute Physiology and Chronic Health Evaluation II score was 16.3(14.5-18.2)and similar among survivors and nonsurvivors;32 had evidence of disease flare,44 had an infection,and one patient had an intracranial bleed.ICU admission was for respiratory failure(46.7%),hemodynamic instability(32.5%),and status epilepticus(14.3%).Twenty-nine patients(37.7%)had autoimmune hemolytic anemia,and 11(14.3%)had diffuse alveolar hemorrhage.Immunomodulation included corticosteroids(96.1%),cyclophosphamide(33.8%),mycophenolate(23.4%),plasma exchange(13%),and immunoglobulins(11.7%).All patients received broad-spectrum antibiotics.Respiratory support,inotropes,and renal replacement therapy were required in 93.5%,51.7%,and 32.5%,respectively.ICU mortality was 50.7%(95%confidence interval:39%-62%).The mean±SD hospital length of stay was 18.9±14.3 days.On multivariate analysis,only shock(P=0.004)was independently associated with mortality.CONCLUSION Intercurrent infection and disease flare are common reasons for ICU admission in SLE patients.Despite multimodal therapy,mortality is high.Shock was independently associated with mortality.
文摘The caption of Figure 5 should be:Wind/WAVES type II burst starting around 14 MHz(∼12:05 UT,2017 September 6)and continuing down to∼100 kHz(09:00 UT,2017 September 7).The end time is marked by the short vertical line with its length indicating the bandwidth(70-130 kHz).The horizontal error bars signify the end time uncertainty.The vertical dashed line marks the SGRE end(06:28 UT,September 7);the horizontal dashed line represents the gamma-ray background.The shock arrival time at 1 au is labeled“SH”(Gopalswamy et al.2018).
基金supported by the National Natural Science Foundation of China(12473104 and U2031144).
文摘The detection of stellar flares is crucial to understanding dynamic processes at the stellar surface and their potential impact on surrounding exoplanetary systems.Extensive time series data acquired by the Transiting Exoplanet Survey Satellite(TESS)offer valuable opportunities for large-scale flare studies.A variety of methods is currently employed for flare detection,with machine learning(ML)approaches demonstrating strong potential for automated classification tasks,particularly for the analysis of astronomical time series.This review provides an overview of the methods used to detect stellar flares in TESS data and evaluates their performance and effectiveness.It includes our assessment of both traditional detection techniques and more recent methods,such as ML algorithms,highlighting their strengths and limitations.By addressing current challenges and identifying promising approaches,this manuscript aims to support further studies and promote the development of stellar flare research.
基金partially supported by the National Key R&D Program of China (2022YFE0133700)the National Natural Science Foundation of China(12273007)+4 种基金the Guizhou Provincial Excellent Young Science and Technology Talent Program (YQK[2023]006)the National SKA Program of China (2020SKA0110300)the National Natural Science Foundation of China(11963003)the Guizhou Provincial Basic Research Program (Natural Science)(ZK[2022]143)the Cultivation project of Guizhou University ([2020]76).
文摘Solar flares are violent solar outbursts which have a great influence on the space environment surrounding Earth,potentially causing disruption of the ionosphere and interference with the geomagnetic field,thus causing magnetic storms.Consequently,it is very important to accurately predict the time period of solar flares.This paper proposes a flare prediction model,based on physical images of active solar regions.We employ X-ray flux curves recorded directly by the Geostationary Operational Environmental Satellite,used as input data for the model,allowing us to largely avoid the influence of accidental errors,effectively improving the model prediction efficiency.A model based on the X-ray flux curve can predict whether there will be a flare event within 24 hours.The reverse can also be verified by the peak of the X-ray flux curve to see if a flare has occurred within the past 24 hours.The True Positive Rate and False Positive Rate of the prediction model,based on physical images of active regions are 0.6070 and 0.2410 respectively,and the accuracy and True Skill Statistics are 0.7590 and 0.5556.Our model can effectively improve prediction efficiency compared with models based on the physical parameters of active regions or magnetic field records,providing a simple method for solar flare prediction.
文摘Transition on a flared cone with zero angle of at- tack was studied in our newly established Mach 6 quiet wind tunnel （M6QT） via wall pressure measurement and flow visualization. High-frequency pressure transducers were used to measure the second-mode waves＇ amplitudes and frequencies. Using pulsed schlieren diagnostic and Rayleigh scattering technique, we got a clear evolution of the second-mode disturbances. The second-mode waves exist for a long distance, which means that the second-mode waves grow linearly in a large region. Strong Mach waves are radiated from the edge of the boundary layer. With further development, the second-mode waves reach their maximum magnitude and harmonics of the second-mode instability appear. Then the disturbances grow nonlinearly. The second modes become weak and merge with each other. Finally, the nonlinear interaction of disturbance leads to a relatively quiet zone, which further breaks down, resulting in the transition of the bound- ary layer. Our results show that transition is determined by the second mode. The quiet zone before the final breakdown is observed in flow visualization for the first time. Eventual transition requires the presence of a quiet zone generated by nonlinear interactions.
文摘This study was designed to compare the impact of post and core systems on resistance to fracture of endodontically treated anterior teeth with flared root canals and to assess their fracture pattern. Sixty central incisors were cut horizontally 2 mm coronal to the cementoenamel junction(CEJ). After root canal therapy, teeth were assigned into 6 groups(n = 10 each) based on a post system and used as follows: Group C, non-flared root received size #1 glass fiber posts(Control); Group AP, flared root restored with anatomical post; Group RC, flared root restored with size #1 fiber post and cemented with thick layer of resin cement; Group CR, flared root restored with size #1 and reinforced with composite resin; Group CM, cast post-core; Group CP, CAD/CAM polymer-infiltrated ceramic post and core.Following post cementation, core build-up and crown insertion, the specimens were thermo-cycled up to 10,000 cycles(5 C/55 C; 30 seconds dwell time, 6 seconds transition time) and then statically loaded at 1 mm/minute crosshead speed using a universal testing machine. One-way ANOVA and Tukey HSD post hoc test(α= 0.05) were used for data analysis. Group C recorded significantly higher resistance to fracture values [(826.9±39.1) N] followed by group CP [(793.8±55.6) N] while group RC yielded the lowest fracture resistance values [(586.7±51.4) N]. The resistance to fracture of wide root canals can be enhanced by using one-piece CAM/CAM post and core as an alternative to the use of either glass fiber post, relined with composite resin increasing the thickness of luting cement or the use of cast post and core system. However, this was an in vitro investigation and further in vivo studies are necessary.
基金the National Natural Science Foundation of China
文摘A method combining the support vector machine （SVM） the K-Nearest Neighbors （KNN）, labelled the SVM-KNN method, is used to construct a solar flare forecasting model. Based on a proven relationship between SVM and KNN, the SVM-KNN method improves the SVM algorithm of classification by taking advantage of the KNN algorithm according to the distribution of test samples in a feature space. In our flare forecast study, sunspots and 10cm radio flux data observed during Solar Cycle 23 are taken as predictors, and whether an M class flare will occur for each active region within two days will be predicted. The SVM- KNN method is compared with the SVM and Neural networks-based method. The test results indicate that the rate of correct predictions from the SVM-KNN method is higher than that from the other two methods. This method shows promise as a practicable future forecasting model.
基金Supported by A grant from PRIN 2008,MIUR,Rome,Italy"Ottimizzazione Della Diagnosi Eziologica dell’epatite Acuta C E Studio dei Fattori Viro-Immunologici di Guarigione,di Cronicizzazione E di Risposta Alla Terapia Con Interferone"in part by a grant from Regione Campania"Progetti per il migliora-mento della qualitàdell’assistenza,diagnosi e terapia del paziente affetto da AIDS nei settori:immunologia,coinfezioni,informa-zione e prevenzione",2008
文摘The hepatitis C virus(HCV)causes an acute infection that is frequently asymptomatic,but a spontaneous eradication of HCV infection occurs only in one-third of patients.The remaining two-thirds develop a chronic infection that,in most cases,shows an indolent course and a slow progression to the more advanced stagesof the illness.Nearly a quarter of cases with chronic hepatitis C(CHC)develop liver cirrhosis with or without hepatocellular carcinoma.The indolent course of the illness may be troubled by the occurrence of a hepatic flare,i.e.,a spontaneous acute exacerbation of CHC due to changes in the immune response,immunosuppression and subsequent restoration,and is characterized by an increase in serum aminotransferase values,a frequent deterioration in liver fibrosis and necroinflammation but also a high frequency of sustained viral response to pegylated interferon plus ribavirin treatment.A substantial increase in serum aminotransferase values during the clinical course of CHC may also be a consequence of a superinfection by other hepatotropic viruses,namely hepatitis B virus(HBV),HBV plus hepatitis D virus,hepatitis E virus,cytomegalovirus,particularly in geographical areas with high endemicity levels.The etiology of a hepatic flare in patients with CHC should always be defined to optimize follow-up procedures and clinical and therapeutic decisions.
