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Statistics Analysis:FDI Obsorbing in Jan-Jun 认领 引用
1
作者 Jovi Shu 《China's Foreign Trade》 2008年第14期000-000,共1页
According to China's Customs' statistics,from January to May 2008,the import and export volume of foreign- invested enterprises totaled US$563.612 billion,an increase of 21.28 percent over the same period of l... According to China's Customs' statistics,from January to May 2008,the import and export volume of foreign- invested enterprises totaled US$563.612 billion,an increase of 21.28 percent over the same period of last year,5.02 percent lower than the growth rate of the country (26.30 percent) in the same period,accounting for 55.69 percent of the total import and export of the country.(See Chart 1) 展开更多
关键词 USS Statistics Analysis than
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Outlier management in data analysis:a checklist for authors and reviewers 认领 引用
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作者 Evgenios Agathokleous Tao Xu Lei Yu 《Journal of Forestry Research》 SCIE EI CAS CSCD 2026年第3期1-6,共6页
The improper handling of outliers in the analysis of variance(ANOVA)presents a persistent challenge in forestry research,which may lead to biased results,inflated Type I error rates,and obscured scientific signals.The... The improper handling of outliers in the analysis of variance(ANOVA)presents a persistent challenge in forestry research,which may lead to biased results,inflated Type I error rates,and obscured scientific signals.The current practice is often an ad hoc method,potentially driven by a need to achieve statistical significance rather than principled scientific reasoning.This Editorial paper addresses this systemic issue by proposing a structured,step-by-step framework for the diagnosis and management of outliers.The framework guides researchers to first investigate the cause of an outlier(data error,measurement error,or genuine extreme value),then statistically assess its impact on ANOVA results and assumptions,and finally,make a transparent decision on its treatment.We strongly advise against the statistically problematic practice of replacing outliers with the mean of other replicates,as it violates data integrity and obscures true variability.Instead,we recommend robust alternatives,including data transformation,non-parametric tests,or the use of trimmed means.This approach aims to uphold statistical robustness and scientific integrity,thereby improving the rigor of forestry research and its publications. 展开更多
关键词 Journal editor Peer review Statistical analysis Science communication Scientific writing
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Analysis of Inpatients with Osteoarthritis 认领 引用
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作者 Xueni LIN Lamei ZHOU 《Medicinal Plant》 2026年第3期79-82,共4页
[Objectives]To observe the distribution characteristics of TCM syndrome types,previous underlying diseases,and concurrent infections in inpatients with osteoarthritis,providing a basis for clinical precision treatment... [Objectives]To observe the distribution characteristics of TCM syndrome types,previous underlying diseases,and concurrent infections in inpatients with osteoarthritis,providing a basis for clinical precision treatment and chronic disease management.[Methods]Using an Access database,clinical data from 701 discharged patients with osteoarthritis who were admitted to the Rheumatology Department of Wuxi Traditional Chinese Medicine Hospital from January 2018 to December 2024 was collected.The statistical analysis on TCM syndrome types,previous diseases,and concurrent infections was conducted.[Results]Among inpatients with osteoarthritis,the highest proportion(55.21%)was attributed to the syndrome of liver and kidney deficiency in traditional Chinese medicine(TCM),followed by the syndrome of wind-dampness obstruction(15.98%),the syndrome of phlegm and blood stasis obstruction(13.27%),and the syndrome of dampness-heat obstruction(8.13%).The comorbidity rate of previous underlying diseases reached 87.87%,with the top three being hypertension(59.42%),osteoporosis(30.68%),and cerebral infarction(27.60%).Diabetes mellitus(19.80%),neuropathy(19.32%),and other conditions also accounted for a certain proportion.The main types of concurrent infections were urinary tract infections(36.21%)and pulmonary infections(33.62%),and upper respiratory tract infections accounted for 13.79%.[Conclusions]The TCM syndrome types of inpatients with osteoarthritis are primarily characterized by liver and kidney deficiency,as well as wind-dampness obstruction.Hypertension,osteoporosis,and cerebral infarction are the main comorbidities.Urinary tract and pulmonary infections are common types.Clinically,emphasis should be placed on syndrome differentiation and treatment,strengthening the comprehensive management of multi-system comorbidities,and optimizing prevention and control strategies of chronic diseases. 展开更多
关键词 chronic disease management methods using clinical precision treatment Underlying Diseases rheumatology department statistical analysis access databaseclinical data Traditional Chinese Medicine Syndrome Osteoarthritis
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Current Situation of Application and Development Prospects of the Statistical Analysis of Big Data 认领 引用
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作者 Zhuoran LI 《Meteorological and Environmental Research》 2026年第1期45-47,共3页
With the advent of the big data era,modern statistics has enjoyed unprecedented development opportunities and also faced numerous new challenges.Traditional statistical computing methods are often limited by issues su... With the advent of the big data era,modern statistics has enjoyed unprecedented development opportunities and also faced numerous new challenges.Traditional statistical computing methods are often limited by issues such as computer memory capacity and distributed storage of data across different locations,and are unable to directly apply to large-scale data sets.Therefore,in the context of big data,designing efficient and theoretically guaranteed statistical learning and inference algorithms has become a key issue that the current field of statistics urgently needs to address.In this paper,the application status of statistical analysis methods in the big data environment was systematically reviewed,and its future development directions were analyzed to provide reference and support for the further development of theory and methods of the statistical analysis of big data. 展开更多
关键词 Big data Statistical analysis Current status Development prospects
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Resonance analysis of159Tb(n,γ)reaction based on the CSNS Back-n experiment 认领 引用 被引量：1
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作者 De-Xin Wang Su-Ya-La-Tu Zhang +14 位作者 Wei Jiang Jie Ren Mei-Rong Huang Jing-Yu Tang Xi-Chao Ruan Hong-Wei Wang Long-Xiang Liu Xue Li Dan-Dan Niu Guo Li Gu-Fu Meng Yong-Shun Huang Zhi-Long Wang Yu Bai Xue Yang 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2025年第3期85-94,共10页
The neutron capture resonance parameters for 159Tb are crucial for validating nuclear models,nucleosynthesis during the neutron capture process,and nuclear technology applications.In this study,resonance analyses were... The neutron capture resonance parameters for 159Tb are crucial for validating nuclear models,nucleosynthesis during the neutron capture process,and nuclear technology applications.In this study,resonance analyses were performed for the neutron capture cross sections of 159Tb measured at the China Spallation Neutron Source(CSNS)backscattering white neutron beamline(Back-n)facility.The resonance parameters were extracted from the R-Matrix code SAMMY and fitted to the experimental capture yield up to the 1.2 keV resolved resonance region(RRR).The average resonance parameters were determined by performing statistical analysis on the set of the resonance parameters in the RRR.These results were used to fit the measured average capture cross sections using the FITACS code in the unresolved resonance region from 2 keV to 1 MeV.The contributions of partial waves l=0,1,2 to the average capture cross sections are reported. 展开更多
关键词 Statistical analysis Resonance parameters 159Tb(n,γ)cross section γ
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Cryo-EM Data Statistics and Theoretical Analysis of KaiC Hexamer 认领 引用
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作者 Xu Han Zhaolong Wu +1 位作者 Tian Yang Qi Ouyang 《Chinese Physics Letters》 SCIE EI CAS CSCD 2022年第7期24-29,共6页
Cryo-electron microscopy(cryo-EM) provides a powerful tool to resolve the structure of biological macromolecules in natural state. One advantage of cryo-EM technology is that different conformation states of a protein... Cryo-electron microscopy(cryo-EM) provides a powerful tool to resolve the structure of biological macromolecules in natural state. One advantage of cryo-EM technology is that different conformation states of a protein complex structure can be simultaneously built, and the distribution of different states can be measured. This provides a tool to push cryo-EM technology beyond just to resolve protein structures, but to obtain the thermodynamic properties of protein machines. Here, we used a deep manifold learning framework to get the conformational landscape of Kai C proteins, and further obtained the thermodynamic properties of this central oscillator component in the circadian clock by means of statistical physics. 展开更多
关键词 Cryo-EM Data Statistics and Theoretical Analysis of KaiC Hexamer
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Accuracy of artificial intelligence in meta-analysis:A comparative study of ChatGPT 4.0 and traditional methods in data synthesis 认领 引用
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作者 Aman Goyal Muhammad Daoud Tariq +5 位作者 Areeba Ahsan Muhammad Hamza Khan Amna Zaheer Hritvik Jain Surabhi Maheshwari Andrei Brateanu 《World Journal of Methodology》 2025年第4期324-332,共9页
BACKGROUND Meta-analysis is a critical tool in evidence-based medicine,particularly in cardiology,where it synthesizes data from multiple studies to inform clinical decisions.This study explored the potential of using... BACKGROUND Meta-analysis is a critical tool in evidence-based medicine,particularly in cardiology,where it synthesizes data from multiple studies to inform clinical decisions.This study explored the potential of using ChatGPT to streamline and enhance the meta-analysis process.AIM To investigate the potential of ChatGPT to conduct meta-analyses in interventional cardiology by comparing the results of ChatGPT-generated analyses with those of randomly selected,human-conducted meta-analyses on the same topic.METHODS We systematically searched PubMed for meta-analyses on interventional cardiology published in 2024.Five metaanalyses were randomly chosen.ChatGPT 4.0 was used to perform meta-analyses on the extracted data.We compared the results from ChatGPT with the original meta-analyses,focusing on key effect sizes,such as risk ratios(RR),hazard ratios,and odds ratios,along with their confidence intervals(CI)and P values.RESULTS The ChatGPT results showed high concordance with those of the original meta-analyses.For most outcomes,the effect measures and P values generated by ChatGPT closely matched those of the original studies,except for the RR of stent thrombosis in the Sreenivasan et al study,where ChatGPT reported a non-significant effect size,while the original study found it to be statistically significant.While minor discrepancies were observed in specific CI and P values,these differences did not alter the overall conclusions drawn from the analyses.CONCLUSION Our findings suggest the potential of ChatGPT in conducting meta-analyses in interventional cardiology.However,further research is needed to address the limitations of transparency and potential data quality issues,ensuring that AI-generated analyses are robust and trustworthy for clinical decision-making. 展开更多
关键词 ChatGPT Artificial intelligence Large language model Meta-analysis Statistical analysis Methodology Cardiology
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Spatial variability of groundwater nitrate in the loess area of Tongchuan City,China:New insights from farmland leaching quantification 认领 引用
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作者 Wei Zhao Peiyue Li +5 位作者 Tiantian Wang Fangqiang Sun Fang Zhang Jia Yang Jing Ning Misbah Fida 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第5期512-521,共10页
High groundwater nitrate associated with agricultural activity is a global environmental problem.However,linking spatial variability of groundwater nitrate and agricultural activity quantification needs to be elucidat... High groundwater nitrate associated with agricultural activity is a global environmental problem.However,linking spatial variability of groundwater nitrate and agricultural activity quantification needs to be elucidated.This paper seeks to explain the spatial variability of groundwater nitrate in the loess area of Tongchuan City,China,identify the contributing factors using hydrogeochemical and statistical methods,and analyze the connection between farmland leaching and groundwater nitrate quantitatively.Results indicate that the nitrate of the Quaternary alluvial pore water(QAP)is significantly higher during the wet season(3.60 to 68.24 mg/L)compared to the dry season(3.53 to 37.20 mg/L).QAP nitrate is significantly higher than that in loess fissure-pore water(LFP),which ranges from 0.66 to 5.47 mg/L during the wet season and 0.82 to 5.01 mg/L during the dry season.The thin and loose vadose zone of QAP makes the aquifer particularly susceptible to anthropogenic influences.Following recharge from LFP,the hydrochemical parameters in QAP increased by 1.22 to 3.12 times(except Na+and pH),the change of average nitrate concentration in QAP(10.11 mg/L)was considerably higher than that in LFP(0.03 mg/L)due to farmland leaching.A significant correlation(R2=0.70 exists between groundwater nitrate and farmland leaching in river valleys and on slopes where farmland is prevalent.Fertilizer accumulation in river valleys enhances downward leaching,thereby further exacerbating groundwater nitrate.These findings highlight that river valleys with extensive farmland in the Loess Plateau should be prioritized for preventing and controlling groundwater nitrate pollution from agricultural activities. 展开更多
关键词 Spatial variability Hydrogeochemistry Statistical analysis Quantitative analysis Farmland leaching
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Statistical characteristics mining of measured machining error of multi-stage compressor blisks 认领 引用
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作者 Yue DAN Limin GAO +3 位作者 Yuyang HAO Qiusheng LUO Ruiyu LI Guang YANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期173-185,共13页
Blisks have been widely adopted in various aero-engines due to the advantages such as simple structure and low loss.However,influenced by machining errors,the geometric inconsistency of blisk blades is significant,lea... Blisks have been widely adopted in various aero-engines due to the advantages such as simple structure and low loss.However,influenced by machining errors,the geometric inconsistency of blisk blades is significant,leading to deviations in the compressor performance from the design and scatter increase.To accurately assess performance uncertainty effects of machining errors using uncertainty quantification methods,‘statistical characteristics of machining errors’as uncertainty quantification inputs are particularly critical.This study is the first to highlight measured machining errors'uncertainty analysis for blisks.Measured machining errors from the front,middle,and rear stages of multi-stage compressor blisks are analyzed regarding their systematic deviations and scatters along the radial direction,and probability distribution characteristics.The results show that due to differences in clamping and fixing methods,the statistical characteristics of machining errors for‘blisk'differ from those of‘single blade’.Additionally,variations in material properties and sizes of blades at different compressor stages lead to differences in the statistical characteristics of machining errors.For different sections,systematic deviations and scatters in machining errors are notably significant near the blade tip,making it challenging to ensure machining consistency.For different stages,machining errors of the rear stage blades are the most scattering.Compared with the design geometry,several phenomena observed in most blades,such as‘under deflection’,‘thicker pressure/suction surfaces’and‘larger leading-edge radius’,should be improved,owing to their adverse effects in compressors.Furthermore,probability distributions of machining errors exhibit characteristics such as‘skewness’,‘bimodality’,and‘data missing’,indicating that traditional normal distributions are insufficient for accurately characterizing the above distributions.The research results provide a clear demonstration of the machining capabilities of compressor blisks and offer data support for correctly constructing probability models of machining errors,thereby enabling accurate prediction of their performance uncertainty effects. 展开更多
关键词 Blade Compressor Machining error Measured data Statistical analysis
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ANALYSIS OF METEOROLOGICAL CONDITIONS FOR THE BASE OF MARINE SPORTS IN THE 26TH SUMMER UNIVERSIADE IN SHENZHEN IN 2011 认领 引用 被引量：1
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作者 王明洁 张小丽 李兴荣 《Journal of Tropical Meteorology》 SCIE 2011年第2期187-192,共6页
Based on the real-time wind direction and speed data from an automatic meteorological monitoring network in Shenzhen, the wind characteristics of Jue Diao Sha maritime area are analyzed. As indicated in the results, t... Based on the real-time wind direction and speed data from an automatic meteorological monitoring network in Shenzhen, the wind characteristics of Jue Diao Sha maritime area are analyzed. As indicated in the results, the wind speed of this area is higher than that over the land, the average wind speed is above 3 m/s and the probability for the maximum wind speed to drop below 20 m/s is above 90%. Moreover, the probability for the hourly swing angle of wind direction to become less than 50o is above 80%, suggesting that the wind conditions in the Jue Diao Sha area could meet the requirements of the sporting events. According to the numerical simulation, this area is the best selected site among three candidates. Furthermore, the characteristics of daily land and sea breezes are such that it is suggested the game will be best carried out from 1000 to 1700 Beijing Standard Time. 展开更多
关键词 meteorological condition numerical simulation statistics analysis selection of marine sporting sites Summer Universiade
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Advancing statistical methodologies in traditional Chinese medicine and acupuncture research:Enhancing transparency and analytical sophistication 认领 引用
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作者 Remy MACDONALD Dong-han BAI +6 位作者 Zi-hao ZHANG Nan-xi HUANG Jing-yue GAO Xu ZHANG Lei FAN Shu-min CHEN Lu LUO 《World Journal of Acupuncture-Moxibustion》 CAS CSCD 2026年第2期141-148,共8页
Background Traditional Chinese Medicine(TCM),with over 5000 years of empirical practice,increasingly employs modern scientific frameworks such as randomized controlled trials(RCTs)to validate therapeutic claims,yet it... Background Traditional Chinese Medicine(TCM),with over 5000 years of empirical practice,increasingly employs modern scientific frameworks such as randomized controlled trials(RCTs)to validate therapeutic claims,yet its research reliability hinges critically on robust statistical rigor.Methods By systematically analyzing articles from Phytomedicine and Journal of Ethnopharmacology,this study evaluates statistical methodologies in TCM research,focusing on the adoption of advanced analytical techniques(e.g.,multivariate modeling)versus reliance on basic methods(e.g.,ANOVA)and identifies reporting gaps in trial design(e.g.,sample size estimation).Results Key findings indicate that foundational statistical methods,such as one-way ANOVA,were predominantly used(83.4%of articles),whereas more advanced approaches appeared in only 34.6%of studies.However,methodological rigor should not be equated with statistical complexity.The selection of analytical techniques must be driven by the research objectives,data structure,study design,and the complexity of the scientific questions under investigation.Advanced methods are not inherently superior;rather,the most appropriate approach is the one that is methodologically justified and aligned with underlying assumptions.Notably,substantial deficiencies in trial design and reporting were observed.A striking 81.5%of studies lacked pre-specified power calculations or sample size justifications,raising concerns about statistical validity.Reporting transparency was similarly limited:48.3%of articles did not adequately describe statistical procedures,and 69.8%failed to provide confidence intervals for primary effect estimates.Collectively,these limitations increase the risk of biased interpretation and undermine the robustness,reproducibility,and credibility of the findings.Conclusion Strengthening statistical rigor—through improved trial design transparency and adoption of advanced methods—is essential to enhance the credibility of TCM research,mitigate biases,and foster its integration into evidence-based medicine,ultimately ensuring clinically meaningful and actionable therapeutic insights. 展开更多
关键词 Traditional chinese medicine(TCM) Statistical analysis Multivariate analysis Evidence-based medicine Clinical trials Meta-analysis
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Insights from untargeted metabolomics:revealing potential marker compounds in the maturation of fermented chili 认领 引用
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作者 Shiyu Liu Mingyuan Yang +6 位作者 Jianhua Zhao Meijuan Lei Jinlin Han Min Xu Ping Liu Jie Tang Hongbin Lin 《Food Science and Human Wellness》 SCIE CAS CSCD 2026年第1期228-238,共11页
Chili fermentation is one of the most important processes in the production of Pixian Douban(PXDB),which determines the flavor and product quality of PXDB.However,the maturity of fermented chili mainly depends on empi... Chili fermentation is one of the most important processes in the production of Pixian Douban(PXDB),which determines the flavor and product quality of PXDB.However,the maturity of fermented chili mainly depends on empirical judgment,which can not satisfy the need for standardized production of PXDB.Therefore,this study aimed to investigate volatile and non-volatile substances during the maturation process and to find markers related to the maturity of fermented chili.Two-dimensional gas chromatography-mass spectrometry(GC×GC-MS)combined with multivariate statistical analysis and relative odor activity values(ROAV)analysis revealed that 2-methoxy-3-isobutyl pyrazine,linalool,3-(methylthio)propionaldehyde,myrcene,and decanal(ROAV≥1,VIP>1,P<0.05)were regarded as potentially active aromatic markers for differentiating fermentation time.Additionally,ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry(UPLCQTOF-MS)combined with multivariate statistical analysis revealed that 25 compounds could serve as differentiated non-volatile compounds.The correlation of maturity-related physicochemical indicators with volatile and nonvolatile compounds revealed that four volatile compounds(2-methoxy-3-isobutylpyrazine,linalool,myrcene,and decanal)along with seven non-volatile compounds could serve as markers for evaluating the maturity of fermented chili.This study is expected to establish a standard for the determination of the maturity the fermented chili and lay the foundation for intelligent production of PXDB. 展开更多
关键词 Fermented chili Mature standards Volatile substances Non-volatile compounds Multivariate statistical analysis
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Characterizing lunar 1 Hz whistler waves across a solar cycle using ARTEMIS observations 认领 引用
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作者 LongFei Jia Song Fu +7 位作者 YueQun Lou TaiFeng Jin XiaoTong Yun ShaoTing Cheng ShuYue Pang XiangYuan Tong Xin Ma BinBin Ni 《Earth and Planetary Physics》 EI CSCD 2026年第3期385-399,共15页
Whistler-mode waves are ubiquitous in space environments and constitute a key mechanism for energy transfer and transformation.The near-1 Hz narrowband whistler-mode waves are commonly observed in lunar space.However,... Whistler-mode waves are ubiquitous in space environments and constitute a key mechanism for energy transfer and transformation.The near-1 Hz narrowband whistler-mode waves are commonly observed in lunar space.However,the generation mechanism of narrowband 1 Hz whistler-mode waves in the lunar environment,where no global magnetosphere or permanent bow shock exists,remains an open question.This study examines 1 Hz waves in the lunar environment by analyzing 12 years(2012-2023)of ARTEMIS(Acceleration,Reconnection,Turbulence,and Electrodynamics of the Moon’s Interaction with the Sun)mission data(across an entire solar cycle).The spatial distribution,spectral characteristics,and polarization properties of these waves are investigated alongside their dependence on upstream solar wind parameters and lunar magnetic anomalies.The results reveal that 1 Hz waves are predominantly observed in the solar wind near the Moon,with clear dawn-dusk and north-south asymmetries.Wave amplitudes range from 0.03 to 1 nT,and approximately 90%of the events demonstrate no direct magnetic connectivity to the Moon.Importantly,wave amplitude shows a positive correlation with the solar wind dynamic pressure(Pdyn)and the total interplanetary magnetic field(Btotal)and an inverse correlation with the Alfvén Mach number(MA),underscoring the influence of upstream conditions on wave properties.Our findings reveal that the majority of waves occur on unconnected field lines,indicating a more complex generation and propagation scenario than previously assumed.Furthermore,wave properties are quantitatively shown to be strongly modulated by upstream solar wind conditions.These results provide critical statistical constraints for future studies of wave generation in the unique plasma environment of an unmagnetized body. 展开更多
关键词 Moon whistler waves solar wind statistical analysis solar activity cycle
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A review of research progress on gear accelerated life testing methods 认领 引用
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作者 Huan LIU Hongjun LI +3 位作者 Suliang YANG Bo FENG Bin LIU Xindang HE 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第6期227-250,共24页
Gears,as key components of aircraft transmission systems,play a crucial role in determining the safety and reliability of the entire system.Long service life,low failure probability,and numerous failure modes are char... Gears,as key components of aircraft transmission systems,play a crucial role in determining the safety and reliability of the entire system.Long service life,low failure probability,and numerous failure modes are characteristics of gears.Accelerated life testing methods for ground verification can enhance testing efficiency and reduce experimental costs.These methods have wide-ranging applications in gear mechanical performance testing,failure mechanism research,surface strengthening process comparisons,and structural parameter optimisation design validation.This paper provides a systematic discussion of four aspects:the primary failure modes of gears,advancements in testing methods,test design,and statistical data analysis,and it presents several related classic engineering cases.Based on this,the challenges faced by accelerated life testing and the future directions for its development are summarised and anticipated.The work presented in this paper can provide technical references for test plan design and experimental data processing for gear accelerated life testing personnel. 展开更多
关键词 Accelerated life testing:Acceleration models Failure modes Gears Statistical analysis
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An Improved PID Controller Based on Artificial Neural Networks for Cathodic Protection of Steel in Chlorinated Media 认领 引用
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作者 José Arturo Ramírez-Fernández Henevith G.Méndez-Figueroa +3 位作者 Sebastián Ossandón Ricardo Galván-Martínez Miguel Ángel Hernández-Pérez Ricardo Orozco-Cruz 《Computers, Materials & Continua》 SCIE EI 2026年第3期624-640,共17页
In this study,artificial neural networks(ANNs)were implemented to determine design parameters for an impressed current cathodic protection(ICCP)prototype.An ASTM A36 steel plate was tested in 3.5%NaCl solution,seawate... In this study,artificial neural networks(ANNs)were implemented to determine design parameters for an impressed current cathodic protection(ICCP)prototype.An ASTM A36 steel plate was tested in 3.5%NaCl solution,seawater,and NS4 using electrochemical impedance spectroscopy(EIS)to monitor the evolution of the substrate surface,which affects the current required to reach the protection potential(Eprot).Experimental data were collected as training datasets and analyzed using statistical methods,including box plots and correlation matrices.Subsequently,ANNs were applied to predict the current demand at different exposure times,enabling the estimation of electrochemical parameters(limiting voltage values)that can be used to optimize a self-regulating ICCP system.The obtained electrochemical parameters were then used,through Particle Swarm Optimization(PSO),to fine-tune an ANN-based proportional-integral-derivative(PID)controller for the ICCP system. 展开更多
关键词 Artificial neural networks(ANNs) corrosion impressed current cathodic protection(ICCP) proportional integral derivative(PID)corrosion control particle swarm optimization(PSO) statistical analysis
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Statistic Analysis on Quantitative Characteristics for Developing the DUS Test Guideline of Ranunculus asiaticus L. 认领 引用 被引量：4
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作者 LIU Yan-fang ZHANG Jian-hua +6 位作者 Lü Bo3 YANG Xiao-hong LI Yan-gang WANG Ye WANG Jiang-min ZHANG Hui GUAN Jun-jiao 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2013年第6期971-978,共8页
Selection of quantitative characteristics, division of their expression ranges, and selection of example varieties are key issues on developing DUS Test Guidelines, which are more crucial for quantitative characterist... Selection of quantitative characteristics, division of their expression ranges, and selection of example varieties are key issues on developing DUS Test Guidelines, which are more crucial for quantitative characteristics since their expressions vary in different degrees. Taking the development of DUS Test Guideline of Ranunculus asiaticus L. as an example, this paper applied statistic-based approaches for the analyses of quantitative characteristics. We selected 9 quantitative characteristics from 18 pre-selected characteristics, based on within-variety uniformity, stability between different growing cycles, and correlation among characteristics, by the analyses of coefficient of variation, paired-samples t-test and partial correlation. The expression ranges of the 9 selected quantitative characteristics were divided into different states using descriptive statistics and distribution frequency of varieties. Eight of the 9 selected quantitative characteristics were categorized as standard characteristics as they showed one peak in distribution frequency of 120 varieties in various expressions of the characteristics, whereas, plant height can be categorized as grouping characteristic since it gave two peaks, and can group the varieties into pot and cut varieties. Finally, box-plot was applied to visually select the example varieties, and varieties 7, 12, and 28 were determined as the example varieties for plant height. The methods described in this paper are effective for the selection of quantitative characteristics, division of expression ranges, and selection of example varieties in Ranunculus asiaticus L. for DUS test, and may also be interest for other plant genera. 展开更多
关键词 DUS Test Guideline quantitative characteristic statistic analysis expression range of characteristic example variety
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Comparative study on main compounds in Ginkgo biloba L. base on mathematical statistics 认领 引用 被引量：5
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作者 Yiyi Zhao Ruyi Guo +3 位作者 Haili Yin Xintong Fu Yougen Chen Hongzhu Guo 《Journal of Chinese Pharmaceutical Sciences》 CAS CSCD 2019年第12期843-854,共12页
In this paper,an HPLC-DAD-ELSD method was developed to determine main 20 components of Ginkgo biloba L.leaves from different ages and sources,including six flavonol glycosides,five terpene lactones and nine organic ac... In this paper,an HPLC-DAD-ELSD method was developed to determine main 20 components of Ginkgo biloba L.leaves from different ages and sources,including six flavonol glycosides,five terpene lactones and nine organic acids.Using statistics method and establishing relevant mathematics models,the measured data has proceeded correlation analysis,principal component analysis,and regression statistics and the results showed generality and specific characteristics.We defined p-hydroxybenzoic acid,catechinic,KRcG and ginkgolide A as characteristic indexes representing commonness and speciality of Ginkgo biloba L.leaf.The four characteristic indexes can reflect the quality of Ginkgo biloba L.leaf,and the intermal relations between them are significant.The contents of other compounds could define the quantity relation with characteristic markers.It simplified the approach of quality control,and provided a basis for quality control of Ginkgo biloba L. 展开更多
关键词 Ginkgo biloba L. Statistical analysis Characteristic markers Holistic quality evaluation
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Comprehensive evaluation method of urban air quality statistics based on environmental monitoring data and its application 认领 引用 被引量：3
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作者 Linglu Qu Fahe Chai +3 位作者 Shijie Liu Jingchun Duan Fan Meng Miaomiao Cheng 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2023年第1期500-509,共10页
Air quality monitoring is effective for timely understanding of the current air quality status of a region or city.Currently,the huge volume of environmental monitoring data,which has reasonable real-time performance,... Air quality monitoring is effective for timely understanding of the current air quality status of a region or city.Currently,the huge volume of environmental monitoring data,which has reasonable real-time performance,provides strong support for in-depth analysis of air pollution characteristics and causes.However,in the era of big data,to meet current demands for fine management of the atmospheric environment,it is important to explore the characteristics and causes of air pollution from multiple aspects for comprehensive and scientific evaluation of air quality.This study reviewed and summarized air quality evaluation methods on the basis of environmental monitoring data statistics during the 13th Five-Year Plan period,and evaluated the level of air pollution in the Beijing-Tianjin-Hebei region and its surrounding areas(i.e.,the“2+26”region)during the period of the three-year action plan to fight air pollution.We suggest that air quality should be comprehensively,deeply,and scientifically evaluated from the aspects of air pollution characteristics,causes,and influences of meteorological conditions and anthropogenic emissions.It is also suggested that a threeyear moving average be introduced as one of the evaluation indexes of long-term change of pollutants.Additionally,both temporal and spatial differences should be considered when removing confounding meteorological factors. 展开更多
关键词 Air quality assessment Air pollution Statistical analysis Environmental monitoring data Big data
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Simulation on a Car Interior Aerodynamic Noise Control Based on Statistical Energy Analysis 认领 引用 被引量：7
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作者 CHEN Xin WANG Dengfeng MA Zhengdong 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2012年第5期1016-1021,共6页
How to simulate interior aerodynamic noise accurately is an important question of a car interior noise reduction. The unsteady aerodynamic pressure on body surfaces is proved to be the key effect factor of car interio... How to simulate interior aerodynamic noise accurately is an important question of a car interior noise reduction. The unsteady aerodynamic pressure on body surfaces is proved to be the key effect factor of car interior aerodynamic noise control in high frequency on high speed. In this paper, a detail statistical energy analysis （SEA） model is built. And the vibra-acoustic power inputs are loaded on the model for the valid result of car interior noise analysis. The model is the solid foundation for further optimization on car interior noise control. After the most sensitive subsystems for the power contribution to car interior noise are pointed by SEA comprehensive analysis, the sound pressure level of car interior aerodynamic noise can be reduced by improving their sound and damping characteristics. The further vehicle testing results show that it is available to improve the interior acoustic performance by using detailed SEA model, which comprised by more than 80 subsystems, with the unsteady aerodynamic pressure calculation on body surfaces and the materials improvement of sound/damping properties. It is able to acquire more than 2 dB reduction on the central frequency in the spectrum over 800 Hz. The proposed optimization method can be looked as a reference of car interior aerodynamic noise control by the detail SEA model integrated unsteady computational fluid dynamics （CFD） and sensitivity analysis of acoustic contribution. 展开更多
关键词 car interior aerodynamic noise control computational fluid dynamics statistical energy analysis
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STATISTICAL ANALYSIS AND NUMERICAL SIMULATION OF POYANG LAKE'S INFLUENCE ON TROPICAL CYCLONES 认领 引用 被引量：9
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作者 张胜军 陈联寿 李英 《Journal of Tropical Meteorology》 SCIE 2012年第2期249-262,共14页
Based on the Tropical Cyclone(TC briefly thereafter)Yearbook 1980-2009,this paper first analyzes the number and intensity change of the TCs which passed directly over or by the side of Poyang Lake(the distance of TC c... Based on the Tropical Cyclone(TC briefly thereafter)Yearbook 1980-2009,this paper first analyzes the number and intensity change of the TCs which passed directly over or by the side of Poyang Lake(the distance of TC center is less than 1°longitude or 1°latitude from the Lake)among all the landfalling TCs in China during the past 30 years.Two cases are examined in detail in this paper.One is severe typhoon Rananim with a speed of 3.26 m/s and a change of 1 hPa in intensity when it was passing the Lake.The other is super typhoon Saomai with a faster moving speed of 6.50 m/s and a larger change in intensity of 6 hPa.Through numerical simulation experiments,this paper analyzes how the change of underlying surface from water to land contributes to the differences in intensity,speed and mesoscale convection of the two TCs when they passed the Lake.Results show that the moisture and dynamic condition above the Lake were favorable for the maintenance of the intensity when Rananim was passing through Poyang Lake,despite the moisture supply from the ocean was cut off.As a result,there was strong convection around the lake which led to a rainfall spinning counter-clockwise as it was affected by the TC movement.However,little impact was seen in the Saomai case.These results indicate that for the TCs coming ashore on Poyang Lake with a slow speed,the large water body is conducive to the sustaining of the intensity and strengthening of the convection around the TC center and the subsequent heavy rainfall.On the contrary,a fast-moving TC is less likely to be influenced by the underlying surface in terms of intensity and speed. 展开更多
关键词 tropical cyclone landfall statistical analysis numerical simulation Poyang Lake
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