Objective The purpose of the study was to investigate the effective parameters of electric cortex stimulation (ECS) for functional brain mapping. Methods We collected 21 subjects who underwent epilepsy surgeries conse...Objective The purpose of the study was to investigate the effective parameters of electric cortex stimulation (ECS) for functional brain mapping. Methods We collected 21 subjects who underwent epilepsy surgeries consecutively in Beijing Institute of Functional Neurosurgery with the epileptogenic zone located in perirolandic areas from展开更多
The new rationalα-polynomials are used to solve the Falkner-Skan equation.These polynomials are equipped with an auxiliary parameter.The approximated solution to the Falkner-Skan equation is obtained by the new ratio...The new rationalα-polynomials are used to solve the Falkner-Skan equation.These polynomials are equipped with an auxiliary parameter.The approximated solution to the Falkner-Skan equation is obtained by the new rational a-polynomials with unknown coefficients.To find the unknown coefficients and the auxiliary parameter contained in the polynomials,the collocation method with Chebyshev-Gauss points is used.The numerical examples show the efficiency of this method.展开更多
The probabilistic seismic hazard analysis (PSHA) method used in existing seismic ground motion parameters zonation map of China (the traditional PSHA-CN method) is based on a two-dimensional area seismic source framew...The probabilistic seismic hazard analysis (PSHA) method used in existing seismic ground motion parameters zonation map of China (the traditional PSHA-CN method) is based on a two-dimensional area seismic source framework and does not account for the rupture dimension of large earthquakes,which may lead to underestimation of seismic hazard at near-fault sites.By employing stochastic sampling to integrate three-dimensional fault sources and two-dimensional area seismic sources,a new PSHA-CN method was developed in recent years,but it faces limitations in accuracy and computational ef ciency due to sampling constraints,particularly for low probability of exceedance scenarios or large earthquakes with long return periods.To enhance the computational ef ciency of the new PSHA-CN method,this study developed a novel spatial integration algorithm for PSHA.The algorithm considers rupture dimension,enables ef cient fault geometry modeling using the Frankel Fault Surface (FFS) and Stirling Fault Surface (SFS) models,and maintains compatibility with the traditional PSHA-CN framework.Validation against test cases from the Pacific Earthquake Engineering Research Center (PEER) demonstrated the algorithm’s reliability.Furthermore,the algorithm was applied to assess seismic hazard in the Changsha-Zhuzhou-Xiangtan metropolitan region in Hunan Province to validate its performance in regions with moderate seismic activity in China.A comparative analysis of the new algorithm results with those of the traditional PSHA-CN method revealed that the PSHA-CN method underestimates near-fault seismic hazards.The proposed algorithm will be implemented in next-generation seismic ground motion parameters zonation map in China.展开更多
QOS (Quality of Service) parameter definitions are the basis of further QOS control.But QOS parameters defined by orgallizations such as ISO and ITU are incoherent and incompatible. It leads to the inefficiency of QOS...QOS (Quality of Service) parameter definitions are the basis of further QOS control.But QOS parameters defined by orgallizations such as ISO and ITU are incoherent and incompatible. It leads to the inefficiency of QOS controls. Based on the analysis of QOS parameters defined by ISO and ITU, this paper first promotes Minimum QOS Parameter Set in transport layer. It demonstrates that the parameters defined by ISO and ITU can be represented by parameters or a combination of parameters of the Set. The paper also expounds that the Set is open and manageable and it can be the potential unified base for QOS parameters.展开更多
Computed tomography perfusion(CTP)plays a crucial role in guiding reperfusion therapy and patient selection for acute ischemic stroke(AIS)through perfusion parameter maps of the brain;however,its widespread use is lim...Computed tomography perfusion(CTP)plays a crucial role in guiding reperfusion therapy and patient selection for acute ischemic stroke(AIS)through perfusion parameter maps of the brain;however,its widespread use is limited by the complexity of acquisition protocols and high radiation dose.Previous studies have attempted to reduce radiation exposure by equally lowering the temporal sampling rate;however,it may miss the peak of arterial enhancement,leading to underestimation of blood flow parameter.Here,we investigate the feasibility of using a generative adversarial network(GAN)to generate perfusion maps from 3 phases of CTP(mCTP).The three phases were chosen based on the multiphase computed tomography angiography scanning protocol:the peak arterial input function phase,the peak venous output function phase,and the delayed venous output function phase.The findings demonstrate that the GAN model achieved high visual overlap and performance for cerebral blood flow and time-to-maximum maps,with a mean structural similarity index measure of 0.921 to 0.971 and 0.817 to 0.883,a mean normalized root mean squared error of 0.019 to 0.108 and 0.058 to 0.064,and a mean learned perceptual image patch similarity of 0.039 to 0.088 and 0.141 to 0.146,respectively.For the 2 external datasets,the volume agreement between the model-and CTP-derived infarct and hypoperfusion areas was the intraclass correlation coefficient of 0.731 to 0.883 and 0.499 to 0.635,and the Spearman correlation coefficient of 0.720 to 0.808 and 0.533 to 0.6540,respectively.Qualitative assessments of diagnostic quality further confirmed that the mCTP-derived maps were comparable to those obtained from traditional CTP.In conclusion,the GAN-based model is effective in generating perfusion maps from mCTP,which could serve as a viable alternative to traditional CTP in the diagnostic evaluation of AIS.展开更多
The whitefly Bemisia tabaci is a serious threat in tomato cultivation worldwide as all varieties grown today are highly susceptible to this devastating herbivorous insect.Many accessions of the tomato wild relative So...The whitefly Bemisia tabaci is a serious threat in tomato cultivation worldwide as all varieties grown today are highly susceptible to this devastating herbivorous insect.Many accessions of the tomato wild relative Solanum pennellii show a high resistance towards B. tabaci. A mapping approach was used to elucidate the genetic background of whiteflyresistance related traits and associated biochemical traits in this species. Minor quantitative trait loci（QTLs） for whitefly adult survival（AS） and oviposition rate（OR） were identified and some were confirmed in an F2BC1 population, where they showed increased percentages of explained variance（more than 30%）. Bulked segregant analyses on pools of whiteflyresistant and-susceptible F2 plants enabled the identification of metabolites that correlate either with resistance or susceptibility. Genetic mapping of these metabolites showed that a large number of them co-localize with whiteflyresistance QTLs. Some of these whitefly-resistance QTLs are hotspots for metabolite QTLs. Although a large number of metabolite QTLs correlated to whitefly resistance or susceptibility, most of them are yet unknown compounds and further studies are needed to identify the metabolic pathways and genes involved. The results indicate a direct genetic correlation between biochemical-based resistance characteristics and reduced whitefly incidence in S. pennellii.展开更多
文摘Objective The purpose of the study was to investigate the effective parameters of electric cortex stimulation (ECS) for functional brain mapping. Methods We collected 21 subjects who underwent epilepsy surgeries consecutively in Beijing Institute of Functional Neurosurgery with the epileptogenic zone located in perirolandic areas from
文摘The new rationalα-polynomials are used to solve the Falkner-Skan equation.These polynomials are equipped with an auxiliary parameter.The approximated solution to the Falkner-Skan equation is obtained by the new rational a-polynomials with unknown coefficients.To find the unknown coefficients and the auxiliary parameter contained in the polynomials,the collocation method with Chebyshev-Gauss points is used.The numerical examples show the efficiency of this method.
基金Funding for this research was provided by the National Key R&D Program of China(Grant No.2022YFC3003505)This research was also funded by the National Natural Science Foundation of China(Grant No.41974065)the Special Fund of the Institute of Geophysics,China Earthquake Administration(Grant No.DQJB23Y32).
文摘The probabilistic seismic hazard analysis (PSHA) method used in existing seismic ground motion parameters zonation map of China (the traditional PSHA-CN method) is based on a two-dimensional area seismic source framework and does not account for the rupture dimension of large earthquakes,which may lead to underestimation of seismic hazard at near-fault sites.By employing stochastic sampling to integrate three-dimensional fault sources and two-dimensional area seismic sources,a new PSHA-CN method was developed in recent years,but it faces limitations in accuracy and computational ef ciency due to sampling constraints,particularly for low probability of exceedance scenarios or large earthquakes with long return periods.To enhance the computational ef ciency of the new PSHA-CN method,this study developed a novel spatial integration algorithm for PSHA.The algorithm considers rupture dimension,enables ef cient fault geometry modeling using the Frankel Fault Surface (FFS) and Stirling Fault Surface (SFS) models,and maintains compatibility with the traditional PSHA-CN framework.Validation against test cases from the Pacific Earthquake Engineering Research Center (PEER) demonstrated the algorithm’s reliability.Furthermore,the algorithm was applied to assess seismic hazard in the Changsha-Zhuzhou-Xiangtan metropolitan region in Hunan Province to validate its performance in regions with moderate seismic activity in China.A comparative analysis of the new algorithm results with those of the traditional PSHA-CN method revealed that the PSHA-CN method underestimates near-fault seismic hazards.The proposed algorithm will be implemented in next-generation seismic ground motion parameters zonation map in China.
文摘QOS (Quality of Service) parameter definitions are the basis of further QOS control.But QOS parameters defined by orgallizations such as ISO and ITU are incoherent and incompatible. It leads to the inefficiency of QOS controls. Based on the analysis of QOS parameters defined by ISO and ITU, this paper first promotes Minimum QOS Parameter Set in transport layer. It demonstrates that the parameters defined by ISO and ITU can be represented by parameters or a combination of parameters of the Set. The paper also expounds that the Set is open and manageable and it can be the potential unified base for QOS parameters.
基金supported in part by the National Key R&D Program of China under Grants 2024YFA1012002 and 2024YFC2417804the National Natural Science Foundation of China under Grants U21A6005 and 12226004.
文摘Computed tomography perfusion(CTP)plays a crucial role in guiding reperfusion therapy and patient selection for acute ischemic stroke(AIS)through perfusion parameter maps of the brain;however,its widespread use is limited by the complexity of acquisition protocols and high radiation dose.Previous studies have attempted to reduce radiation exposure by equally lowering the temporal sampling rate;however,it may miss the peak of arterial enhancement,leading to underestimation of blood flow parameter.Here,we investigate the feasibility of using a generative adversarial network(GAN)to generate perfusion maps from 3 phases of CTP(mCTP).The three phases were chosen based on the multiphase computed tomography angiography scanning protocol:the peak arterial input function phase,the peak venous output function phase,and the delayed venous output function phase.The findings demonstrate that the GAN model achieved high visual overlap and performance for cerebral blood flow and time-to-maximum maps,with a mean structural similarity index measure of 0.921 to 0.971 and 0.817 to 0.883,a mean normalized root mean squared error of 0.019 to 0.108 and 0.058 to 0.064,and a mean learned perceptual image patch similarity of 0.039 to 0.088 and 0.141 to 0.146,respectively.For the 2 external datasets,the volume agreement between the model-and CTP-derived infarct and hypoperfusion areas was the intraclass correlation coefficient of 0.731 to 0.883 and 0.499 to 0.635,and the Spearman correlation coefficient of 0.720 to 0.808 and 0.533 to 0.6540,respectively.Qualitative assessments of diagnostic quality further confirmed that the mCTP-derived maps were comparable to those obtained from traditional CTP.In conclusion,the GAN-based model is effective in generating perfusion maps from mCTP,which could serve as a viable alternative to traditional CTP in the diagnostic evaluation of AIS.
基金financially supported by the Technical Top Institute of Green Genetics(TTI-GGResistance mechanisms against whitefly in tomato project:3360124600),Monsanto Vegetable Seeds(Bergschenhoek,The Netherlands),Nunhems NL(Nunhem,the Netherlands),and Wageningen University and Research Centrepartially funded by the Netherlands Metabolomics Centre and the Centre of Biosystems Genomics,which are both part of the Netherlands Genomics Initiative/Netherlands Organization for Scientific Research
文摘The whitefly Bemisia tabaci is a serious threat in tomato cultivation worldwide as all varieties grown today are highly susceptible to this devastating herbivorous insect.Many accessions of the tomato wild relative Solanum pennellii show a high resistance towards B. tabaci. A mapping approach was used to elucidate the genetic background of whiteflyresistance related traits and associated biochemical traits in this species. Minor quantitative trait loci（QTLs） for whitefly adult survival（AS） and oviposition rate（OR） were identified and some were confirmed in an F2BC1 population, where they showed increased percentages of explained variance（more than 30%）. Bulked segregant analyses on pools of whiteflyresistant and-susceptible F2 plants enabled the identification of metabolites that correlate either with resistance or susceptibility. Genetic mapping of these metabolites showed that a large number of them co-localize with whiteflyresistance QTLs. Some of these whitefly-resistance QTLs are hotspots for metabolite QTLs. Although a large number of metabolite QTLs correlated to whitefly resistance or susceptibility, most of them are yet unknown compounds and further studies are needed to identify the metabolic pathways and genes involved. The results indicate a direct genetic correlation between biochemical-based resistance characteristics and reduced whitefly incidence in S. pennellii.
