期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到4,433篇文章
< 1 2 … 222 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Ab initio density functional theory approach to warm dense hydrogen:From density response to electronic correlations 认领 引用 被引量：1
1
作者 Zhandos A.Moldabekov Xuecheng Shao +5 位作者 Hannah M.Bellenbaum Cheng Ma Wenhui Mi Sebastian Schwalbe Jan Vorberger Tobias Dornheim 《Matter and Radiation at Extremes》 SCIE EI CAS CSCD 2026年第2期14-20,共7页
Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse ... Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse of warm dense matter theory is thermal density functional theory(DFT),which,however,suffers from two limitations:(i)its accuracy can depend on the utilized exchange-correlation functional,which has to be approximated,and(ii)it is generally limited to single-electron properties such as the density distribution.Here,we present a new ansatz combining time-dependent DFT results for the dynamic structure factor See(q,ω)with static DFT results for the density response.This allows us to estimate the electron-electron static structure factor See(q)of warm dense hydrogen with high accuracy over a broad range of densities and temperatures.In addition to its value for the study of warm dense matter,our work opens up new avenues for the future study of electronic correlations exclusively within the framework of DFT for a host of applications. 展开更多
关键词 thermal density functional theory dft whichhoweversuffers understanding properties warm dense hydrogen thermal density functional theory understand further optimize inertial confinement fusion applicationsthe warm dense matter theory electronic correlations warm dense hydrogen density functional theory
暂未订购 下载PDF
Effects of thermal exchange-correlation functional on thermodynamic quantities of warm dense beryllium 认领 引用
2
作者 Chang Gao Shen Zhang +4 位作者 Zhen-Guo Fu Haijun Huang X.T.He Weiyan Zhang Wei Kang 《Matter and Radiation at Extremes》 SCIE EI CAS CSCD 2026年第3期46-56,共11页
We report thermodynamic properties,including equation of state,principal Hugoniot,heat capacity,and Grüneisen parameter,for beryllium under density-temperature conditions of ρ=3.0-9.0 g/cm3 and T=5-10000 eV,u... We report thermodynamic properties,including equation of state,principal Hugoniot,heat capacity,and Grüneisen parameter,for beryllium under density-temperature conditions of ρ=3.0-9.0 g/cm3 and T=5-10000 eV,using an extended first-principles molecular dynamics method together with finite-temperature exchange-correlation functionals.Compared with zero-temperature exchange-correlation models,our results exhibit appreciable differences of about 3%in modeling the equation of state.Thermal excitations of K-shell electrons,delocalization of wave functions,and the merging of energy bands for beryllium along the Hugoniot curve are also presented.In addition to the application of these thermodynamic data to inertial confinement fusion and high-energy-density physics,our results may also serve as useful benchmarks for investigating thermal exchange-correlation effects on thermodynamic properties of warm dense matter,and further help to elucidate the mechanisms of inner-shell electron excitation. 展开更多
关键词 equation stateprincipal hugoniotheat principal hugoniot equation state Gr neisen parameter modeling equation statethermal excitations heat capacity thermodynamic properties thermal exchange correlation functional
暂未订购 下载PDF
Femtoscopic Correlation Functions for General Partial Waves:Application to the Ʌ(1520) Resonance 认领 引用
3
作者 Si-Wei Liu Ju-Jun Xie 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第5期18-24,共7页
The femtoscopic correlation function has been established in recent years as a high-precision tool for investigating hadrons hadron interactions and exotic states,providing stringent constraints on the dynamics of low... The femtoscopic correlation function has been established in recent years as a high-precision tool for investigating hadrons hadron interactions and exotic states,providing stringent constraints on the dynamics of low-energy strong interactions.However,current research has been predominantly focused on the s-wave interaction between hadrons,while studies of higher partial waves remain scarce.We present a general analytical expression for the femtoscopic correlation function in an arbitrary partial wave using the Lippmanns Schwinger equation.This formalism is applied to constrain the d-wave K-p scattering through a combined study of the K-p correlation function and the D03scattering amplitude of KN→KN and KN→π∑processes,from which the properties ofɅ(1520)are extracted and found to be in good agreement with the experimental results.These findings demonstrate the feasibility of determining dynamics between hadrons through femtoscopic correlation functions and scattering amplitudes with higher partial waves. 展开更多
关键词 investigating hadrons hadron Lippmann Schwinger equation femtoscopic correlation function K p scattering partial wave d wave
暂未订购 下载PDF
Sparse Canonical Correlation Analysis with L2,1-Norm for Functional Data 认领 引用
4
作者 Zhang Zejiang Yang Zhixia +1 位作者 Ye Junyou Wang Yulan 《新疆大学学报（自然科学版中英文）》 CAS 2026年第3期305-323,共19页
Functional canonical correlation analysis is a key method in multivariate statistics for identifying optimal linear correlations between two functional datasets.However,some functions within these datasets may exhibit... Functional canonical correlation analysis is a key method in multivariate statistics for identifying optimal linear correlations between two functional datasets.However,some functions within these datasets may exhibit anomalies such as sudden changes or fluctuations that deviate from the overall trend,resulting to inaccurate results.To address this,we propose an improved method:Sparse functional canonical correlation analysis based on the L2,1-norm.This approach reduces outliers by optimizing the selection of orthogonal basis functions,thereby enhancing the accuracy and reliability of the analysis.Numerical experiments show that the L2,1-norm-based method significantly outperforms traditional methods. 展开更多
关键词 functional canonical correlation analysis L2,1-norm functional data outliers orthogonal basis function
暂未订购 下载PDF
Octupole correlations of the Kπ=5/2+ground-state band in229Th 认领 引用
5
作者 Yuan-Yuan Wang Peng-Wei Zhao 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第2期156-161,共6页
The octupole correlations of the Kπ=5/2+ground state and the rotational spectrum built on it in229Th are studied using the microscopic relativistic density functional theory on a three-dimensional lattice sp... The octupole correlations of the Kπ=5/2+ground state and the rotational spectrum built on it in229Th are studied using the microscopic relativistic density functional theory on a three-dimensional lattice space and the reflection-asymmetric triaxial particle rotor model.It is found that229Th has a ground state with static axial octupole and quadrupole deformations.The occurrence of octupole correlations,driven by the octupole deformation,is analyzed through the evolution of single-particle levels around the Fermi surface.The experimental energy spectrum and the electromagnetic transition probabilities,including B(E2)and B(M1),are reasonably well reproduced. 展开更多
关键词 octupole correlation relativistic density functional theory reflection-asymmetric triaxial particle rotor model rotational spectrum
暂未订购 下载PDF
Predicting Macroscopic Properties of Amorphous Monolayer Carbon via Pair Correlation Function 认领 引用
6
作者 Mouyang Cheng Chenyan Wang +4 位作者 Chenxin Qin Yuxiang Zhang Qingyuan Zhang Han Li Ji Chen 《Chinese Physics Letters》 SCIE EI CAS CSCD 2025年第6期78-101,共24页
Establishing the structure-property relationship in amorphous materials has been a long-term grand challenge due to the lack of a unified description of the degree of disorder.In this work,we develop SPRamNet,a neural... Establishing the structure-property relationship in amorphous materials has been a long-term grand challenge due to the lack of a unified description of the degree of disorder.In this work,we develop SPRamNet,a neural network based machine-learning pipeline that effectively predicts structure-property relationship of amorphous material via global descriptors.Applying SPRamNet on the recently discovered amorphous monolayer carbon,we successfully predict the thermal and electronic properties.More importantly,we reveal that a short range of pair correlation function can readily encode sufficiently rich information of the structure of amorphous material.Utilizing powerful machine learning architectures,the encoded information can be decoded to reconstruct macroscopic properties involving many-body and long-range interactions.Establishing this hidden relationship offers a unified description of the degree of disorder and eliminates the heavy burden of measuring atomic structure,opening a new avenue in studying amorphous materials. 展开更多
关键词 neural network machine learning amorphous materials global descriptorsapplying amorphous monolayer carbonwe degree disorderin amorphous material pair correlation function
暂未订购 下载PDF
Correlation of mild cognitive impairment with locomotive syndrome in geriatric cancer patients:A cross-sectional study 认领 引用
7
作者 Ying Chen Wen-Jing Xu +9 位作者 Hui Lu Jing Wang Ling Li Hui Su Dan-Hua Liang Yu-Qing Zhou Yong-Ping Xu Jing-Fang Xia Hui Yu Yu-Ling Yang 《World Journal of Psychiatry》 SCIE 2026年第4期295-306,共12页
BACKGROUND Locomotive syndrome(LS),a criterion capable of evaluating physical function at an earlier stage,has been less studied in relation to mild cognitive impairment(MCI).Clarifying the correlation between LS stat... BACKGROUND Locomotive syndrome(LS),a criterion capable of evaluating physical function at an earlier stage,has been less studied in relation to mild cognitive impairment(MCI).Clarifying the correlation between LS status and MCI in geriatric cancer patients may aid in identifying early risks for cognitive and motor impairments,providing new insights into maintaining patient independence.AIM To explore risk factors and the correlation between MCI and LS in geriatric cancer patients.METHODS A total of 467 geriatric cancer patients admitted to our hospital from July 2024 to June 2025 were enrolled.MCI was assessed using the Mini Mental State Examination,while locomotive function was evaluated using the Geriatric Locomotive Function Scale-25.Univariate analysis was conducted to evaluate differences in MCI and LS among geriatric cancer patients with different clinical characteristics.Logistic regression was performed to identify independent risk factors.Spearman correlation analysis was employed to assess the relationship between MCI and LS.RESULTS The prevalence of LS was 58.0%,and that of MCI was 30.5%.Logistic regression analysis indicated that age,number of chronic comorbidities,educational level,and MCI were independent risk factors for LS.Age,number of chronic comorbidities,and LS were risk factors for MCI.Spearman correlation analysis revealed a negative correlation between Geriatric Locomotive Function Scale-25 and Mini Mental State Examination scores(r=-0.436,P<0.001).CONCLUSION A significant correlation exists between MCI and LS in geriatric cancer patients.Clinical management and nursing care should concurrently address cognitive impairment and LS to improve patients’overall quality of life and prognosis. 展开更多
关键词 Geriatric cancer patients Locomotive syndrome Cognitive impairment Musculoskeletal function Correlation
暂未订购 下载PDF
Correlation of anxiety and depression with ankle function in chronic ankle instability patients and analysis of risk factors 认领 引用 被引量：1
8
作者 Zu-Po Yu 《World Journal of Psychiatry》 SCIE 2025年第7期83-90,共8页
BACKGROUND Psychological comorbidities,such as anxiety and depression,in patients with chronic ankle instability(CAI)may impede ankle function improvement,although the precise nature of this association warrants furth... BACKGROUND Psychological comorbidities,such as anxiety and depression,in patients with chronic ankle instability(CAI)may impede ankle function improvement,although the precise nature of this association warrants further investigation.AIM To analyze the correlation of anxiety and depression with ankle function in patients with CAI and discussing the risk factors.METHODS This study included 116 patients with CAI,who were admitted to our hospital from July 2022 to July 2024.Anxiety and depression states of patients were assessed with the self-rating anxiety scale(SAS)and self-rating depression scale(SDS),respectively,and their ankle joint function was assessed with the anklehindfoot function score of the American Orthopedic Foot and Ankle Society.Further,the ankle function of patients with CAI with different anxiety and depression states was discussed.Furthermore,the Pearson correlation coefficient was used to analyze the correlation of anxiety and depression with ankle joint function in such patients.Univariate and multivariate analyses were conducted to investigate the factors affecting ankle joint function in patients with CAI.RESULTS Among the 116 patients with CAI,97,13,5,and 1 cases demonstrated none,mild,moderate,and severe anxiety,whereas 95,15,6,and 0 cases showed none,mild,moderate,and severe depression,respectively.The average ankle joint function score was 74.82±6.93 points.The ankle joint function in patients with CAI presented a significant downward tendency as the degree of anxiety and depression increased.Correlation analysis revealed that both the SAS and SDS scores of patients with CAI were significantly negatively correlated with the ankle joint function score.Univariate and multivariate analyses indicated that the risk factors affecting patients’ankle joint function included early functional rehabilitation,visual analog scale,and SDS.CONCLUSION A substantial number of patients with CAI suffer from anxiety and depression,and these negative emotions,to a certain extent,harm the smooth rehabilitation of ankle joint function. 展开更多
关键词 Chronic ankle instability Anxiety and depression Ankle function Correlation analysis Risk factors
暂未订购 下载PDF
The driving role of extracellular polymeric substances in the bioelectrical conversion of petroleum hydrocarbons by rhizosphere microbial fuel cells:bioelectricity production,substrate bioconversion,microbial function and their network correlation 认领 引用
9
作者 Lanmei Zhao Yuru Wen +3 位作者 Lyu Can Long Meng Jian Liu Dong Zhao 《Bioresources and Bioprocessing》 SCIE EI CSCD 2025年第1期1245-1259,共15页
Extracellular polymeric substances(EPS),are crucial components of biofilms that drive the bioelectrical conversion of petroleum hydrocarbons(PHCs),but their role has not been adequately addressed.This research explore... Extracellular polymeric substances(EPS),are crucial components of biofilms that drive the bioelectrical conversion of petroleum hydrocarbons(PHCs),but their role has not been adequately addressed.This research explores the driving role of EPS in bioelectrical PHC conversion by rhizosphere microbial fuel cells(MFCs).We found that current density,output voltage,coulombic efficiency,power density,current stabilization time,metabolite volatile fatty acid(VFA)production and PHC biodegradation ratio initially increased and then decreased with rising initial EPS level(0-128 mg·g-1),peaking at 64±1 mA·m−2,8.04±0.16 V,60.9±1.2%,129±3 mW·m−2,23±1 days,1.77±0.04 g·kg-1 and 66.7±1.5%,respectively.Fluorescence intensity of proteins having tyrosine-tryptophan demonstrated a continuous enhancement,consistent with increased biofilm thickness.Within an appropriate range of initial EPS levels(0-64 mg·g-1),bioelectricity generation and PHC bioconversion enhanced as the EPS content rose in mature biofilms.However,excessive EPS addition could increase biofilm thickness to 0.48 mm,which in turn reduced biofilm activity and overall system performance.The abundances of electrochemically active and PHC-degrading bacteria presented an initial increase followed by a subsequent decrease as the initial EPS level rose,highlighting that EPS at the optimal level enriched and activated these functional bacteria.The positive correlations between the relative abundances of these bacteria and various metrics of bioelectricity generation and PHC bioconversion underscored the critical role of EPS in shaping microbial community structure and enhancing electron transfer efficiency through biofilm formation and stabilization.These findings not only provide a critical theoretical foundation and novel ideas to promote the conversion of PHC into renewable bioenergy but also highlight the potential scalability and environmental benefits of this technology in the field of clean remediation of PHC-polluted soils and recovery of bioenergy.Integrating EPS-driven MFCs with other renewable energy technologies will offer promising opportunities to develop hybrid systems that generate clean energy while mitigating environmental pollution.Furthermore,this approach also has the potential as biosensors for the real-time detection of PHCs,thus contributing to broadening its application in environmental monitoring. 展开更多
关键词 Bioelectricity generation Bioelectrical conversion Microbial function Network correlation Extracellular polymeric substances
暂未订购 下载PDF
Algorithm for computing time correlation functions in non-stationary complex dynamic systems 认领 引用
10
作者 Jiu Zhang Lifu Jin +4 位作者 Bo Zheng Xiongfei Jiang Tingting Chen Cong Xu Yanqing Hu 《Chinese Physics B》 SCIE EI CAS CSCD 2025年第3期77-83,共7页
For non-stationary complex dynamic systems,a standardized algorithm is developed to compute time correlation functions,addressing the limitations of traditional methods reliant on the stationary assumption.The propose... For non-stationary complex dynamic systems,a standardized algorithm is developed to compute time correlation functions,addressing the limitations of traditional methods reliant on the stationary assumption.The proposed algorithm integrates two-point and multi-point time correlation functions into a unified framework.Further,it is verified by a practical application in complex financial systems,demonstrating its potential in various complex dynamic systems. 展开更多
关键词 complex dynamic systems non-stationary states time correlation functions
暂未订购 下载PDF
Correlation between musculoskeletal system function and predepressive states in elderly cancer patients: A single-center crosssectional study 认领 引用
11
作者 Yu-Qing Zhou Wen-Jing Xu +10 位作者 Yu-Ling Yang Hui Su Hui Lu Hui Yu Jing Wang Ling Li Dan-Hua Liang Yong-Ping Xu Jing-Fang Xia Ying Chen Rui-Rong Wu 《World Journal of Psychiatry》 SCIE 2025年第11期308-317,共10页
BACKGROUND Studies have shown that locomotive syndrome(LS)is significantly correlated with adverse outcomes,such as decreased self-care abilities,fractures,and increased mortality.Subthreshold depression(StD)is consid... BACKGROUND Studies have shown that locomotive syndrome(LS)is significantly correlated with adverse outcomes,such as decreased self-care abilities,fractures,and increased mortality.Subthreshold depression(StD)is considered an independent predictor of clinical depression,regarded as its prodromal stage,and even linked to increased mortality risk.Limited research has addressed the prevalence and relationship between LS and StD in elderly cancer patients.Understanding the prevalence of LS and StD among elderly cancer patients and elucidating their relationship will provide evidence to support the development of targeted interventions,thereby improving health outcomes in this population.AIM To investigate the relationship between musculoskeletal system function and predepressive states in elderly cancer patients.METHODS A convenience sampling method was employed to recruit 500 elderly cancer patients undergoing follow-up visits at the Department of Oncology,Affiliated Hospital of Jiangnan University,from April 2024 to December 2024.Participants completed the general information questionnaire, the 25-question Geriatric Locomotive Function Scale, and theGeriatric Depression Scale-Short Form-15. Influencing factors were analyzed, and correlation analyses wereperformed.RESULTSA total of 483 elderly cancer patients successfully completed the study. The prevalence of LS and StD amongparticipants was 56.5% and 38.7%, respectively. Logistic regression analysis identified age, tumor metastasis,exercise habits, and the presence of StD as significant risk factors for LS in elderly cancer patients. Additionally,having three or more chronic diseases and LS were significant predictors for developing StD. Spearman’s correlationanalysis revealed a significant positive correlation between LS and StD (r = 0.424, P < 0.001).CONCLUSIONElderly cancer patients exhibit a high prevalence of LS and StD, conditions which are positively correlated andmutually influential. Thus, it is critical to monitor and address pre-depressive states while evaluating and managingmotor function in this population. 展开更多
关键词 Elderly cancer patients Musculoskeletal function Locomotive syndrome Pre-depressive state Correlation
暂未订购 下载PDF
Cr-Substitution-Driven Correlation Enhancement and Hund's Metallicity in CsV3-xCrxSb5 认领 引用
12
作者 Guiyan Dong Zihao Huo +3 位作者 Wenxuan Chen Tiancheng Ma Jialiang Cai Defang Duan 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第3期283-293,共11页
The Kagome metal CsV3Sb5 transitions from a weakly correlated state to a strongly correlated state upon Cr substitution;however,the mechanism driving this enhancement remains an open question.Here,we employed a combin... The Kagome metal CsV3Sb5 transitions from a weakly correlated state to a strongly correlated state upon Cr substitution;however,the mechanism driving this enhancement remains an open question.Here,we employed a combination of density functional theory and dynamical mean-field theory(DFT+DMFT)to systematically investigate the evolution of electronic correlations in the CsV3−xCrxSb5(x=0,1,and 3)series.Our calculations revealed that Cr doping drives the system into a strongly correlated Hund’s metal phase,which is characterized by significant and orbital-dependent enhancements in the quasiparticle effective masses and electronic scattering rates.We trace the origin of this transition to the doping-induced shift from low-to high-spin atomic configurations.This preference for high-spin states,which is promoted by near-half-filling of the Cr-d orbitals,induces a pronounced orbital blocking effect that strengthens the correlations.Our findings establish that Hund’s coupling is the decisive factor governing the rich correlation physics in the CsV3−xCrxSb5 family,providing a tunable platform for exploring Hund’s metallicity. 展开更多
关键词 hund s metal pha dynamical mean field theory density functional theory electronic correlations evolution electronic correlations hunds metallicity kagome metal csv sb cr substitution
暂未订购 下载PDF
Weighted Multi-sensor Data Level Fusion Method of Vibration Signal Based on Correlation Function 认领 引用 被引量：8
13
作者 BIN Guangfu JIANG Zhinong +1 位作者 LI Xuejun DHILLON B S 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2011年第5期899-904,共6页
As the differences of sensor＇s precision and some random factors are difficult to control,the actual measurement signals are far from the target signals that affect the reliability and precision of rotating machinery... As the differences of sensor＇s precision and some random factors are difficult to control,the actual measurement signals are far from the target signals that affect the reliability and precision of rotating machinery fault diagnosis.The traditional signal processing methods,such as classical inference and weighted averaging algorithm usually lack dynamic adaptability that is easy for trends to cause the faults to be misjudged or left out.To enhance the measuring veracity and precision of vibration signal in rotary machine multi-sensor vibration signal fault diagnosis,a novel data level fusion approach is presented on the basis of correlation function analysis to fast determine the weighted value of multi-sensor vibration signals.The approach doesn＇t require knowing the prior information about sensors,and the weighted value of sensors can be confirmed depending on the correlation measure of real-time data tested in the data level fusion process.It gives greater weighted value to the greater correlation measure of sensor signals,and vice versa.The approach can effectively suppress large errors and even can still fuse data in the case of sensor failures because it takes full advantage of sensor＇s own-information to determine the weighted value.Moreover,it has good performance of anti-jamming due to the correlation measures between noise and effective signals are usually small.Through the simulation of typical signal collected from multi-sensors,the comparative analysis of dynamic adaptability and fault tolerance between the proposed approach and traditional weighted averaging approach is taken.Finally,the rotor dynamics and integrated fault simulator is taken as an example to verify the feasibility and advantages of the proposed approach,it is shown that the multi-sensor data level fusion based on correlation function weighted approach is better than the traditional weighted average approach with respect to fusion precision and dynamic adaptability.Meantime,the approach is adaptable and easy to use,can be applied to other areas of vibration measurement. 展开更多
关键词 vibration signal multi-sensor data level fusion correlation function weighted value
暂未订购 下载PDF
Generalized Functional Linear Models:Efficient Modeling for High-dimensional Correlated Mixture Exposures 认领 引用
14
作者 Bingsong Zhang Haibin Yu +11 位作者 Xin Peng Haiyi Yan Siran Li Shutong Luo Renhuizi Wei Zhujiang Zhou Yalin Kuang Yihuan Zheng Chulan Ou Linhua Liu Yuehua Hu Jindong Ni 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2025年第8期961-976,共16页
Objective Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health.Analysis of these mixture exposures presents several key challenges for environmental epidemio... Objective Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health.Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment,including high dimensionality,correlated exposure,and subtle individual effects.Methods We proposed a novel statistical approach,the generalized functional linear model(GFLM),to analyze the health effects of exposure mixtures.GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation.The robustness and efficiency was evaluated under various scenarios through extensive simulation studies.Results We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey(NHANES).In the first application,we examined the effects of 37 nutrients on BMI(2011–2016 cycles).The GFLM identified a significant mixture effect,with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI,respectively.For the second application,we investigated the association between four pre-and perfluoroalkyl substances(PFAS)and gout risk(2007–2018 cycles).Unlike traditional methods,the GFLM indicated no significant association,demonstrating its robustness to multicollinearity.Conclusion GFLM framework is a powerful tool for mixture exposure analysis,offering improved handling of correlated exposures and interpretable results.It demonstrates robust performance across various scenarios and real-world applications,advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology. 展开更多
关键词 Mixture exposure modeling Functional data analysis High-dimensional data Correlated exposures Environmental epidemiology
暂未订购 下载PDF
Effect of source size and emission time on the p–p momentum correlation function in the two-proton emission process 认领 引用 被引量：10
15
作者 Long Zhou De-Qing Fang 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2020年第5期64-69,共6页
The effect of source size and emission time on the proton-proton(p-p)momentum correlation function(Cpp(q))has been studied systematically.Assuming a spherical Gaussian source with space and time profile according to t... The effect of source size and emission time on the proton-proton(p-p)momentum correlation function(Cpp(q))has been studied systematically.Assuming a spherical Gaussian source with space and time profile according to the function S(r,t)~exp(-r2/2 r02-t/τ)in the correlation function calculation code(CRAB),the results indicate that one Cpp(q)distribution corresponds to a unique combination of source size r0 and emission timeτ.Considering the possible nuclear deformation from a spherical nucleus,an ellipsoidal Gaussian source characterized by the deformation parameter∈=ΔR/R has been simulated.There is almost no difference of Cpp(q)between the results of spherically and ellipsoidally shaped sources with small deformation.These results indicate that a unique source size r0 and emission time could be extracted from the p-p momentum correlation function,which is especially important for identifying the mechanism of twoproton emission from proton-rich nuclei.Furthermore,considering the possible existence of cluster structures within a nucleus,the double Gaussian source is assumed.The results show that the p-p momentum correlation function for a source with or without cluster structures has large systematical differences with the variance of r0 andτ.This may provide a possible method for experimentally observing the cluster structures in proton-rich nuclei. 展开更多
关键词 Two-proton emission p–p momentum correlation function Source size Emission time
暂未订购 下载PDF
MODAL PARAMETERS EXTRACTION WITH CROSS CORRELATION FUNCTION AND CROSS POWER SPECTRUM UNDER UNKNOWN EXCITATION 认领 引用 被引量：2
16
作者 郑敏 申凡 +1 位作者 陈怀海 鲍明 《Chinese Journal of Aeronautics》 EI CAS 2000年第1期19-23,共5页
In most of real operational conditions only response data are measurable while the actual excitations are unknown, so modal parameter must be extracted only from responses. This paper gives a theoretical formulation f... In most of real operational conditions only response data are measurable while the actual excitations are unknown, so modal parameter must be extracted only from responses. This paper gives a theoretical formulation for the cross-correlation functions and cross-power spectra between the outputs under the assumption of white-noise excitation. It widens the field of modal analysis under ambient excitation because many classical methods by impulse response functions or frequency response functions can be used easily for modal analysis under unknown excitation. The Polyreference Complex Exponential method and Eigensystem Realization Algorithm using cross-correlation functions in time domain and Orthogonal Polynomial method using cross-power spectra in frequency domain are applied to a steel frame to extract modal parameters under operational conditions. The modal properties of the steel frame from these three methods are compared with those from frequency response functions analysis. The results show that the modal analysis method using cross-correlation functions or cross-power spectra presented in this paper can extract modal parameters efficiently under unknown excitation. 展开更多
关键词 Algorithms Correlation methods Dynamic response Eigenvalues and eigenfunctions Frequency domain analysis Functions Modal analysis Parameter estimation Structural frames Time domain analysis Vibrations (mechanical) White noise
暂未订购 下载PDF
Criterion for Blind Signals Separation Based on Correlation Function 认领 引用 被引量：1
17
作者 宋友 柳重堪 李其汉 《Chinese Journal of Aeronautics》 EI CAS 2003年第3期162-168,共7页
Blind separation of source signals usually relies either on the condition of statistically independence or involving their higher-order cumulants. The model of two channels signal separation is considered. A criterion... Blind separation of source signals usually relies either on the condition of statistically independence or involving their higher-order cumulants. The model of two channels signal separation is considered. A criterion based on correlation functions is proposed. It is proved that the signals can be separated, using only the condition of noncorrelation. An algorithm is derived, which only involves the solution to quadric nonlinear equations. 展开更多
关键词 blind signals separation independent component analysis cumulants correlation function
暂未订购 下载PDF
Improvement of a new rotation function for molecular replacement by designing new scoring functions and dynamic correlation coefficient 认领 引用 被引量：2
18
作者 江凡 丁玮 《Chinese Physics B》 SCIE EI CAS 2010年第10期354-359,共6页
A previously published new rotation function has been improved by using a dynamic correlation coefficient as well as two new scoring functions of relative entropy and mean-square-residues to make the rotation function... A previously published new rotation function has been improved by using a dynamic correlation coefficient as well as two new scoring functions of relative entropy and mean-square-residues to make the rotation function more robust and independent of a specific set of weights for scoring and ranking. The previously described new rotation function calculates the rotation function of molecular replacement by matching the search model directly with the Patterson vector map. The signal-to-noise ratio for the correct match was increased by averaging all the matching peaks. Several matching scores were employed to evaluate the goodness of matching. These matching scores were then combined into a single total score by optimizing a set of weights using the linear regression method. It was found that there exists an optimal set of weights that can be applied to the global rotation search and the correct solution can be ranked in the top 100 or less. However, this set of optimal weights in general is dependent on the search models and the crystal structures with different space groups and cell parameters. In this work, we try to solve this problem by designing a dynamic correlation coefficient. It is shown that the dynamic correlation coefficient works for a variety of space groups and cell parameters in the global search of rotation function. We also introduce two new matching scores： relative entropy and mean-square-residues. Last but not least, we discussed a valid method for the optimization of the adjustable parameters for matching vectors. 展开更多
关键词 molecular replacement rotation function global search correlation coefficient
暂未订购 下载PDF
Boundary Correlation Functions of the gl(1|1)Supersymmetric Vertex Model 认领 引用 被引量：1
19
作者 ZHANG Chen-Jun ZHOU Jian-Hua YUE Rui-Hong 《Communications in Theoretical Physics》 SCIE CAS 2008年第7期17-22,共6页
The gl(1/1)supersymmetric vertex model with domain wall boundary conditions(DWBC)on an N×N square lattice is considered.We derive the reduction formulae for the one-point boundary correlation functions of the mod... The gl(1/1)supersymmetric vertex model with domain wall boundary conditions(DWBC)on an N×N square lattice is considered.We derive the reduction formulae for the one-point boundary correlation functions of the model.The determinant representation for the boundary correlation functions is also obtained. 展开更多
关键词 domain wall boundary conditions partition function boundary correlation function
暂未订购 下载PDF
Temporal variation of noise correlation function(NCF) in Beijing and surroundings:Its relation with climate events and implications 认领 引用 被引量：1
20
作者 Changsheng Jiang Zhongliang Wu 《Earthquake Science》 2009年第1期75-81,共7页
Noise correlation function （NCF） was calculated using the data of the Beijing Capital-Area Telemetered Digital Seismograph Network from June 12 to September 12, 2005. Signal-to-noise ratio （SNR） is used to charact... Noise correlation function （NCF） was calculated using the data of the Beijing Capital-Area Telemetered Digital Seismograph Network from June 12 to September 12, 2005. Signal-to-noise ratio （SNR） is used to characterize the quality of NCF at each station pair. The SNR （in dB） is shown to be dependent on the separation distance R of the station pair via SNR= A -BlogR. ＇Normalized average SNR＇ for all the station pairs can then be calculated, as represented by the value of SNR taking R = 250 km in the empirical SNR-R relation, to measure the overall quality of the NCF result. The ＇normalized average SNR＇ of the NCF shows temporal variation and is apparently dependent on the root-mean-square （RMS） velocity of the microseism. The result obtained by this experiment provides clues to the explanation of the properties of NCF, such as the dominant mechanism underlying （diffuse wave fields or uncorrelated sources）, and the dependence of SNR on the time length of recordings. 展开更多
关键词 noise correlation function Beijing and surroundings signal-to-noise ratio
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 222 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈