Marx scientifically summarized the experience and lessons of the Paris Commune,deeply exposed the root causes of bourgeois corruption,and emphasized the purity and advancement of the construction of proletarian politi...Marx scientifically summarized the experience and lessons of the Paris Commune,deeply exposed the root causes of bourgeois corruption,and emphasized the purity and advancement of the construction of proletarian political parties and political power.The dictatorship of the proletariat puts forward the ideas of cheap government that eradicate corruption,realizes that the people are the masters of the country,implements democratic supervision of elections,simplifies the construction of institutions,lowers governance costs,and achieves higher efficiency.A deep understanding of the theoretical characteristics of Marx’s thoughts on integrity,democracy,and honor,and a profound clarification of the practical significance of Marx’s ideology on clean governance,combined with practical practice,will help promote the construction of a new system of anti-corruption and incorruption in our country,and will benefit our contemporary services.The construction of a type-oriented government system is conducive to deepening the construction of China’s national legal system.展开更多
Lily-Ziziphi Spinosae Semen decoction(LZ)is known for its blood nourishing,mind calming,body sedation,and sleep promoting effects in traditional Chinese medicine.However,its material basis and underlying mechanisms ha...Lily-Ziziphi Spinosae Semen decoction(LZ)is known for its blood nourishing,mind calming,body sedation,and sleep promoting effects in traditional Chinese medicine.However,its material basis and underlying mechanisms have not yet been clearly defined.This study applies liquid chromatography-mass spectrometry,network pharmacology,and animal studies to reveal the material basis and sleep-improving mechanisms of LZ.The mixed decoction(LZ-ME)and single decoction(LZ-SE)were prepared to study their chemical components.Network pharmacology was used to predict the sleep-improving targets and signaling pathways of LZ.ICR mice were intragastrically administered saline(NC),melatonin(positive control group,0.50 mg/kg),low(12.90 g/kg),medium(25.70 g/kg),and high(38.60 g/kg)dose of LZ-ME and LZ-SH for 30 days.The results showed that LZ-ME could prolong the sleep duration and shorten the sleep latency in sodium barbiturate induced mice model.The results of chemical composition showed that total polysaccharides,total flavonoids,total saponins,and total alkaloids in LZ-ME were significantly higher than those in LZ-SE(177.20%,82.34%,30.58%,and 11.66%,respectively).A total of 58 chemical components were identified by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-QTOF-MS),and 8 representative difference components of LZ-ME and LZ-SE were found.LZ-ME significantly increased tumor necrosis factor-α(TNF-α)in mice serum and neurotransmitterγ-aminobutyric acid(GABA)levels in mice hippocampus,decreased dopamine(DA)and glutamate(Glu)levels in mice hippocampus(P<0.05).Furthermore,LZ-ME up-regulated the abundance of the beneficial bacteria Lactobacillus and Eubacterium_R,down-regulated the abundance of the harmful bacteria Lachnospiraceae etc.The polysaccharides,flavonoids(spinosin and 6‴-feruloylspinosin)and saponins(jujuboside A and jujuboside B)were the main material bases for the sleep-promoting effects of LZ.These compounds may directly enhance levels of the GABA,reduced levels of Glu and DA and improve TNF-αlevels.And they also may indirectly regulate GABA levels by influencing the relative abundance of Lactobacillus and Eubacterium.展开更多
Lung cancer remains a leading cause of cancer-related mortality globally,with conventional therapies(chemotherapy,targeted agents)limited by severe toxicities and poor durability.Traditional Chinese medicine(TCMs)herb...Lung cancer remains a leading cause of cancer-related mortality globally,with conventional therapies(chemotherapy,targeted agents)limited by severe toxicities and poor durability.Traditional Chinese medicine(TCMs)herb pairs,particularly Scutellaria barbata–Lobelia chinensis(SL),have emerged as promising alternatives for their multitarget anti-lung cancer activity,but their material basis and mechanisms need systematic clarification.In TCM practice,SL herb pair exerts“heat-clearing and toxin-resolving”effects,aligning with the therapeutic principle of“resolving toxin to suppress tumor”for lung cancer.Phytochemical and pharmacological studies confirm its key active components,including flavonoids(baicalein,luteolin,quercetin),alkaloids,and polysaccharides.These components synergistically act through core signaling pathways:inhibiting angiogenesis via HIF-1α/VEGF axis;inducing apoptosis/autophagy through PI3K/AKT/mTOR and SIRT1/AMPK pathways;suppressing epithelial-mesenchymal transition(EMT)by targeting TGF-β/Smad and Wnt/β-catenin pathways;and regulating immune microenvironment via NLRP3 inflammasome and Th1/Th2 balance.This review systematically summarizes the multi-component(flavonoids,alkaloids)and multi-pathway mechanisms of SL herb pair,validating the scientific connotation of TCM’s“multi-target therapy”paradigm.It provides a theoretical basis for clinical application of SL herb pair and inspires the development of innovative lung cancer therapies(e.g.,component-based nano-drugs),bridging TCM practice with modern pharmacology.展开更多
This paper reviews and summarizes the material basis that contribute to the efficacy of Mongolian medicine,as well as the advancements in research concerning both single drugs and compound prescriptions in Mongolian m...This paper reviews and summarizes the material basis that contribute to the efficacy of Mongolian medicine,as well as the advancements in research concerning both single drugs and compound prescriptions in Mongolian medicine for the treatment of rheumatoid arthritis(RA).The objective is to provide a reference for further in-depth research and the clinical application of Mongolian medicine in the management of RA,while also offering new insights for the development of more effective therapeutic agents and methods for treating this condition.展开更多
This paper proposes a concurrent neural network model to mitigate non-linear distortion in power amplifiers using a basis function generation approach.The model is designed using polynomial expansion and comprises a f...This paper proposes a concurrent neural network model to mitigate non-linear distortion in power amplifiers using a basis function generation approach.The model is designed using polynomial expansion and comprises a feedforward neural network(FNN)and a convolutional neural network(CNN).The proposed model takes the basic elements that form the bases as input,defined by the generalized memory polynomial(GMP)and dynamic deviation reduction(DDR)models.The FNN generates the basis function and its output represents the basis values,while the CNN generates weights for the corresponding bases.Through the concurrent training of FNN and CNN,the hidden layer coefficients are updated,and the complex multiplication of their outputs yields the trained in-phase/quadrature(I/Q)signals.The proposed model was trained and tested using 300 MHz and 400 MHz broadband data in an orthogonal frequency division multiplexing(OFDM)communication system.The results show that the model achieves an adjacent channel power ratio(ACPR)of less than-48 d B within a 100 MHz integral bandwidth for both the training and test datasets.展开更多
In this study,an improved integrated radial basis function with nonuniform shape parameter is introduced.The proposed shape parameter varies in each support domain and is defined byθ=1/d_(max),where d_(max)is the max...In this study,an improved integrated radial basis function with nonuniform shape parameter is introduced.The proposed shape parameter varies in each support domain and is defined byθ=1/d_(max),where d_(max)is the maximum distance of any pair of nodes in the support domain.The proposed method is verified and shows good performance.The results are stable and accurate with any number of nodes and an arbitrary nodal distribution.Notably,the support domain should be large enough to obtain accurate results.This method is then applied for transient analysis of curved shell structures made from functionally graded materials with complex geometries.Through several numerical examples,the accuracy of the proposed approach is demonstrated and discussed.Additionally,the influence of various factors on the dynamic behavior of the structures,including the power-law index,different materials,loading conditions,and geometrical parameters of the structures,was investigated.展开更多
We employed random distributions and gradient descent methods for the Generator Coordinate Method(GCM)to identify effective basis wave functions,taking halo nuclei ^(6)He and ^(6)Li as examples.By comparing the ground...We employed random distributions and gradient descent methods for the Generator Coordinate Method(GCM)to identify effective basis wave functions,taking halo nuclei ^(6)He and ^(6)Li as examples.By comparing the ground state(0^(+))energy of ^(6)He and the excited state(0^(+))energy of 6 Li calculated with various random distributions and manually selected generation coordinates,we found that the heavy tail characteristic of the logistic distribution better describes the features of the halo nuclei.Subsequently,the Adam algorithm from machine learning was applied to optimize the basis wave functions,indicating that a limited number of basis wave functions can approximate the converged values.These results offer some empirical insights for selecting basis wave functions and contribute to the broader application of machine learning methods in predicting effective basis wave functions.展开更多
Accurate description of noncova-lent interactions in large systems is challenging due to the require-ment of high-level electron corre-lation methods.The generalized energy-based fragmentation(GEBF)approach,in conjunc...Accurate description of noncova-lent interactions in large systems is challenging due to the require-ment of high-level electron corre-lation methods.The generalized energy-based fragmentation(GEBF)approach,in conjunc-tion with the domain-based local pair natural orbital(DLPNO)method,has been applied to assess the average binding energies(ABEs)of large benzene clus-ters,specifically(C6H6)13,at the coupled cluster singles and doubles with perturbative triples correction[CCSD(T)]level and the complete basis set(CBS)limit.Utilizing GEBF-DLPNO-CCSD(T)/CBS ABEs as benchmarks,various DFT functionals were evaluated.It was found that several functionals with empirical dispersion correction,including M06-2X-D3,B3LYP-D3(BJ),and PBE-D3(BJ),provide accurate descriptions of the ABEs for(C6H6)13 clusters.Additionally,the M06-2X-D3 functional was used to calculate the ABEs and relative stabili-ties of(C6H6)n clusters for n=11,12,13,14,and 15 revealing that the(C6H6)13 cluster ex-hibits the highest relative stability.These findings align with experimental evidence suggest-ing that n=13 is one of the magic numbers for benzene clusters(C6H6)n,with n≤30.展开更多
Ocean remote sensing satellites provide observations with high spatiotemporal resolution.However,the influence of clouds,fog,and haze frequently leads to significant data gaps.Accurate and effective estimation of thes...Ocean remote sensing satellites provide observations with high spatiotemporal resolution.However,the influence of clouds,fog,and haze frequently leads to significant data gaps.Accurate and effective estimation of these missing data is highly valuable for engineering and scientific research.In this study,the radial basis function(RBF)method is used to estimate the spatial distribution of total suspended matter(TSM)concentration in Hangzhou Bay using remote sensing data with severe data gaps.The estimation precision is validated by comparing the results with those of other commonly used interpolation methods,such as the Kriging method and the basic spline(B-spline)method.In addition,the applicability of the RBF method is explored.Results show that the estimation of the RBF method is significantly close to the observation in Hangzhou Bay.The average of the mean absolute error,mean relative error,and root mean square error in all the experiments is evidently smaller than those of the Kriging and B-spline interpolations,indicating that the proposed method is more appropriate for estimating the spatial distribution of the TSM in Hangzhou Bay.Finally,the TSM distribution in the blank observational area is predicted.This study can provide some reference values for handling watercolor remote sensing data.展开更多
Disability is defined as a condition that makes it difficult for a person to perform certain vital activities.In recent years,the integration of the concepts of intelligence in solving various problems for disabled pe...Disability is defined as a condition that makes it difficult for a person to perform certain vital activities.In recent years,the integration of the concepts of intelligence in solving various problems for disabled persons has become more frequent.However,controlling an exoskeleton for rehabilitation presents challenges due to their nonlinear characteristics and external disturbances caused by the structure itself or the patient wearing the exoskeleton.To remedy these problems,this paper presents a novel adaptive control strategy for upper-limb rehabilitation exoskeletons,addressing the challenges of nonlinear dynamics and external disturbances.The proposed controller integrated a Radial Basis Function Neural Network(RBFNN)with a disturbance observer and employed a high-dimensional integral Lyapunov function to guarantee system stability and trajectory tracking performance.In the control system,the role of the RBFNN was to estimate uncertain signals in the dynamic model,while the disturbance observer tackled external disturbances during trajectory tracking.Artificially created scenarios for Human-Robot interactive experiments and periodically repeated reference trajectory experiments validated the controller’s performance,demonstrating efficient tracking.The proposed controller is found to achieve superior tracking accuracy with Root-Mean-Squared(RMS)errors of 0.022-0.026 rad for all joints,outperforming conventional Proportional-Integral-Derivative(PID)by 73%and Neural-Fuzzy Adaptive Control(NFAC)by 389.47%lower error.These results suggested that the RBFNN adaptive controller,coupled with disturbance compensation,could serve as an effective rehabilitation tool for upper-limb exoskeletons.These results demonstrate the superiority of the proposed method in enhancing rehabilitation accuracy and robustness,offering a promising solution for the control of upper-limb assistive devices.Based on the obtained results and due to their high robustness,the proposed control schemes can be extended to other motor disabilities,including lower limb exoskeletons.展开更多
The radial basis function （RBF） interpolation approach proposed by Freedman is used to solve inverse problems encountered in well-logging and other petrophysical issues. The approach is to predict petrophysical prop...The radial basis function （RBF） interpolation approach proposed by Freedman is used to solve inverse problems encountered in well-logging and other petrophysical issues. The approach is to predict petrophysical properties in the laboratory on the basis of physical rock datasets, which include the formation factor, viscosity, permeability, and molecular composition. However, this approach does not consider the effect of spatial distribution of the calibration data on the interpolation result. This study proposes a new RBF interpolation approach based on the Freedman＇s RBF interpolation approach, by which the unit basis functions are uniformly populated in the space domain. The inverse results of the two approaches are comparatively analyzed by using our datasets. We determine that although the interpolation effects of the two approaches are equivalent, the new approach is more flexible and beneficial for reducing the number of basis functions when the database is large, resulting in simplification of the interpolation function expression. However, the predicted results of the central data are not sufficiently satisfied when the data clusters are far apart.展开更多
To improve the nonlinear approximating ability of cerebellar model articulation controller(CMAC), by introducing the Gauss basis functions and the similarity measure based addressing scheme, a new kind of fuzzy CMAC...To improve the nonlinear approximating ability of cerebellar model articulation controller(CMAC), by introducing the Gauss basis functions and the similarity measure based addressing scheme, a new kind of fuzzy CMAC with Gauss basis functions(GFCMAC) was presented. Moreover, based upon the improvement of the self organizing feature map algorithm of Kohonen, the structural self organizing algorithm for GFCMAC(SOGFCMAC) was proposed. Simulation results show that adopting the Gauss basis functions and fuzzy techniques can remarkably improve the nonlinear approximating capacity of CMAC. Compared with the traditional CMAC,CMAC with general basis functions and fuzzy CMAC(FCMAC), SOGFCMAC has the obvious advantages in the aspects of the convergent speed, approximating accuracy and structural self organizing.展开更多
In this paper, an improved radial basis function networks named hidden neuron modifiable radial basis function (HNMRBF) networks is proposed for target classification, and evolutionary programming (EP) is used as a le...In this paper, an improved radial basis function networks named hidden neuron modifiable radial basis function (HNMRBF) networks is proposed for target classification, and evolutionary programming (EP) is used as a learning algorithm to determine and modify the hidden neuron of HNMRBF nets. The result of passive sonar target classification shows that HNMRBF nets can effectively solve the problem of traditional neural networks, i. e. learning new target patterns on line will cause forgetting of the old patterns.展开更多
Aim To detect sensor failure in control system using a single sensor signal. Methods A neural predictor was designed based on a radial basis function network(RBFN), and the neural predictor learned the sensor sig...Aim To detect sensor failure in control system using a single sensor signal. Methods A neural predictor was designed based on a radial basis function network(RBFN), and the neural predictor learned the sensor signal on line with a hybrid algorithm composed of n means clustering and Kalman filter and then gave the estimation of the sensor signal at the next step. If the difference between the estimation and the actural values of the sensor signal exceeded a threshold, the sensor could be declared to have a failure. The choice of the failure detection threshold depends on the noise variance and the possible prediction error of neural predictor. Results and Conclusion\ The computer simulation results show the proposed method can detect sensor failure correctly for a gyro in an automotive engine.展开更多
In computer aided geometric design （CAGD）, B′ezier-like bases receive more andmore considerations as new modeling tools in recent years. But those existing B′ezier-like basesare all defined over the rectangular do...In computer aided geometric design （CAGD）, B′ezier-like bases receive more andmore considerations as new modeling tools in recent years. But those existing B′ezier-like basesare all defined over the rectangular domain. In this paper, we extend the algebraic trigono-metric B′ezier-like basis of order 4 to the triangular domain. The new basis functions definedover the triangular domain are proved to fulfill non-negativity, partition of unity, symmetry,boundary representation, linear independence and so on. We also prove some properties of thecorresponding B′ezier-like surfaces. Finally, some applications of the proposed basis are shown.展开更多
基金Chongqing Social Science Planning Project“Research on the Practical Path of Leading and Cultivating Youth Responsibility and Commitment with the Spirit of Struggle”(2021YBCS24)。
文摘Marx scientifically summarized the experience and lessons of the Paris Commune,deeply exposed the root causes of bourgeois corruption,and emphasized the purity and advancement of the construction of proletarian political parties and political power.The dictatorship of the proletariat puts forward the ideas of cheap government that eradicate corruption,realizes that the people are the masters of the country,implements democratic supervision of elections,simplifies the construction of institutions,lowers governance costs,and achieves higher efficiency.A deep understanding of the theoretical characteristics of Marx’s thoughts on integrity,democracy,and honor,and a profound clarification of the practical significance of Marx’s ideology on clean governance,combined with practical practice,will help promote the construction of a new system of anti-corruption and incorruption in our country,and will benefit our contemporary services.The construction of a type-oriented government system is conducive to deepening the construction of China’s national legal system.
基金supported by the Province Natural Science Foundation of Hunan,China(2022JJ50048)Hunan Agriculture Research System(HARS-11).
文摘Lily-Ziziphi Spinosae Semen decoction(LZ)is known for its blood nourishing,mind calming,body sedation,and sleep promoting effects in traditional Chinese medicine.However,its material basis and underlying mechanisms have not yet been clearly defined.This study applies liquid chromatography-mass spectrometry,network pharmacology,and animal studies to reveal the material basis and sleep-improving mechanisms of LZ.The mixed decoction(LZ-ME)and single decoction(LZ-SE)were prepared to study their chemical components.Network pharmacology was used to predict the sleep-improving targets and signaling pathways of LZ.ICR mice were intragastrically administered saline(NC),melatonin(positive control group,0.50 mg/kg),low(12.90 g/kg),medium(25.70 g/kg),and high(38.60 g/kg)dose of LZ-ME and LZ-SH for 30 days.The results showed that LZ-ME could prolong the sleep duration and shorten the sleep latency in sodium barbiturate induced mice model.The results of chemical composition showed that total polysaccharides,total flavonoids,total saponins,and total alkaloids in LZ-ME were significantly higher than those in LZ-SE(177.20%,82.34%,30.58%,and 11.66%,respectively).A total of 58 chemical components were identified by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-QTOF-MS),and 8 representative difference components of LZ-ME and LZ-SE were found.LZ-ME significantly increased tumor necrosis factor-α(TNF-α)in mice serum and neurotransmitterγ-aminobutyric acid(GABA)levels in mice hippocampus,decreased dopamine(DA)and glutamate(Glu)levels in mice hippocampus(P<0.05).Furthermore,LZ-ME up-regulated the abundance of the beneficial bacteria Lactobacillus and Eubacterium_R,down-regulated the abundance of the harmful bacteria Lachnospiraceae etc.The polysaccharides,flavonoids(spinosin and 6‴-feruloylspinosin)and saponins(jujuboside A and jujuboside B)were the main material bases for the sleep-promoting effects of LZ.These compounds may directly enhance levels of the GABA,reduced levels of Glu and DA and improve TNF-αlevels.And they also may indirectly regulate GABA levels by influencing the relative abundance of Lactobacillus and Eubacterium.
基金supported by the Wuxi Municipal Special Project for Scientific and Technological Development of Traditional Chinese Medicine for Young Talents(No.ZYQN202407).
文摘Lung cancer remains a leading cause of cancer-related mortality globally,with conventional therapies(chemotherapy,targeted agents)limited by severe toxicities and poor durability.Traditional Chinese medicine(TCMs)herb pairs,particularly Scutellaria barbata–Lobelia chinensis(SL),have emerged as promising alternatives for their multitarget anti-lung cancer activity,but their material basis and mechanisms need systematic clarification.In TCM practice,SL herb pair exerts“heat-clearing and toxin-resolving”effects,aligning with the therapeutic principle of“resolving toxin to suppress tumor”for lung cancer.Phytochemical and pharmacological studies confirm its key active components,including flavonoids(baicalein,luteolin,quercetin),alkaloids,and polysaccharides.These components synergistically act through core signaling pathways:inhibiting angiogenesis via HIF-1α/VEGF axis;inducing apoptosis/autophagy through PI3K/AKT/mTOR and SIRT1/AMPK pathways;suppressing epithelial-mesenchymal transition(EMT)by targeting TGF-β/Smad and Wnt/β-catenin pathways;and regulating immune microenvironment via NLRP3 inflammasome and Th1/Th2 balance.This review systematically summarizes the multi-component(flavonoids,alkaloids)and multi-pathway mechanisms of SL herb pair,validating the scientific connotation of TCM’s“multi-target therapy”paradigm.It provides a theoretical basis for clinical application of SL herb pair and inspires the development of innovative lung cancer therapies(e.g.,component-based nano-drugs),bridging TCM practice with modern pharmacology.
基金Supported by"First-Class Discipline Construction"Research Project of Traditional Chinese Medicine of Inner Mongolia Medical University(zyylxk202404).
文摘This paper reviews and summarizes the material basis that contribute to the efficacy of Mongolian medicine,as well as the advancements in research concerning both single drugs and compound prescriptions in Mongolian medicine for the treatment of rheumatoid arthritis(RA).The objective is to provide a reference for further in-depth research and the clinical application of Mongolian medicine in the management of RA,while also offering new insights for the development of more effective therapeutic agents and methods for treating this condition.
基金supported by ZTE Industry-University-Institute Cooperation Funds under Grant No.HC-CN-20220722010。
文摘This paper proposes a concurrent neural network model to mitigate non-linear distortion in power amplifiers using a basis function generation approach.The model is designed using polynomial expansion and comprises a feedforward neural network(FNN)and a convolutional neural network(CNN).The proposed model takes the basic elements that form the bases as input,defined by the generalized memory polynomial(GMP)and dynamic deviation reduction(DDR)models.The FNN generates the basis function and its output represents the basis values,while the CNN generates weights for the corresponding bases.Through the concurrent training of FNN and CNN,the hidden layer coefficients are updated,and the complex multiplication of their outputs yields the trained in-phase/quadrature(I/Q)signals.The proposed model was trained and tested using 300 MHz and 400 MHz broadband data in an orthogonal frequency division multiplexing(OFDM)communication system.The results show that the model achieves an adjacent channel power ratio(ACPR)of less than-48 d B within a 100 MHz integral bandwidth for both the training and test datasets.
基金Ho Chi Minh City University of Technology (HCMUT), VNU-HCM for supporting this study
文摘In this study,an improved integrated radial basis function with nonuniform shape parameter is introduced.The proposed shape parameter varies in each support domain and is defined byθ=1/d_(max),where d_(max)is the maximum distance of any pair of nodes in the support domain.The proposed method is verified and shows good performance.The results are stable and accurate with any number of nodes and an arbitrary nodal distribution.Notably,the support domain should be large enough to obtain accurate results.This method is then applied for transient analysis of curved shell structures made from functionally graded materials with complex geometries.Through several numerical examples,the accuracy of the proposed approach is demonstrated and discussed.Additionally,the influence of various factors on the dynamic behavior of the structures,including the power-law index,different materials,loading conditions,and geometrical parameters of the structures,was investigated.
基金supported by the National Key R&D Program of China(No.2023YFA1606701)the National Natural Science Foundation of China(Nos.12175042,11890710,11890714,12047514,12147101,and 12347106)+1 种基金Guangdong Major Project of Basic and Applied Basic Research(No.2020B0301030008)China National Key R&D Program(No.2022YFA1602402).
文摘We employed random distributions and gradient descent methods for the Generator Coordinate Method(GCM)to identify effective basis wave functions,taking halo nuclei ^(6)He and ^(6)Li as examples.By comparing the ground state(0^(+))energy of ^(6)He and the excited state(0^(+))energy of 6 Li calculated with various random distributions and manually selected generation coordinates,we found that the heavy tail characteristic of the logistic distribution better describes the features of the halo nuclei.Subsequently,the Adam algorithm from machine learning was applied to optimize the basis wave functions,indicating that a limited number of basis wave functions can approximate the converged values.These results offer some empirical insights for selecting basis wave functions and contribute to the broader application of machine learning methods in predicting effective basis wave functions.
基金supported by the National Key R&D Program of China(No.2023YFB3712504)the National Natural Science Foundation of China(Nos.22273038,22073043,and 22033004)。
文摘Accurate description of noncova-lent interactions in large systems is challenging due to the require-ment of high-level electron corre-lation methods.The generalized energy-based fragmentation(GEBF)approach,in conjunc-tion with the domain-based local pair natural orbital(DLPNO)method,has been applied to assess the average binding energies(ABEs)of large benzene clus-ters,specifically(C6H6)13,at the coupled cluster singles and doubles with perturbative triples correction[CCSD(T)]level and the complete basis set(CBS)limit.Utilizing GEBF-DLPNO-CCSD(T)/CBS ABEs as benchmarks,various DFT functionals were evaluated.It was found that several functionals with empirical dispersion correction,including M06-2X-D3,B3LYP-D3(BJ),and PBE-D3(BJ),provide accurate descriptions of the ABEs for(C6H6)13 clusters.Additionally,the M06-2X-D3 functional was used to calculate the ABEs and relative stabili-ties of(C6H6)n clusters for n=11,12,13,14,and 15 revealing that the(C6H6)13 cluster ex-hibits the highest relative stability.These findings align with experimental evidence suggest-ing that n=13 is one of the magic numbers for benzene clusters(C6H6)n,with n≤30.
基金supported by the Open Funds for Hubei Key Laboratory of Marine Geological Resources,China University of Geosciences(No.MGR202308)the Natural Science Foundation of Shandong Province(No.ZR2020MD085)+3 种基金the National Natural Science Foundation of China(No.41821004)the Taishan Scholar Program(No.tstp2022114)the Shandong Provincial Natural Science Foundation(No.DKXZZ202206)the National Key Research and Development Program of China(No.2016YFC1402404).
文摘Ocean remote sensing satellites provide observations with high spatiotemporal resolution.However,the influence of clouds,fog,and haze frequently leads to significant data gaps.Accurate and effective estimation of these missing data is highly valuable for engineering and scientific research.In this study,the radial basis function(RBF)method is used to estimate the spatial distribution of total suspended matter(TSM)concentration in Hangzhou Bay using remote sensing data with severe data gaps.The estimation precision is validated by comparing the results with those of other commonly used interpolation methods,such as the Kriging method and the basic spline(B-spline)method.In addition,the applicability of the RBF method is explored.Results show that the estimation of the RBF method is significantly close to the observation in Hangzhou Bay.The average of the mean absolute error,mean relative error,and root mean square error in all the experiments is evidently smaller than those of the Kriging and B-spline interpolations,indicating that the proposed method is more appropriate for estimating the spatial distribution of the TSM in Hangzhou Bay.Finally,the TSM distribution in the blank observational area is predicted.This study can provide some reference values for handling watercolor remote sensing data.
基金funded by the King Salman Center For Disability Research,through Research Group No.KSRG-2024-468。
文摘Disability is defined as a condition that makes it difficult for a person to perform certain vital activities.In recent years,the integration of the concepts of intelligence in solving various problems for disabled persons has become more frequent.However,controlling an exoskeleton for rehabilitation presents challenges due to their nonlinear characteristics and external disturbances caused by the structure itself or the patient wearing the exoskeleton.To remedy these problems,this paper presents a novel adaptive control strategy for upper-limb rehabilitation exoskeletons,addressing the challenges of nonlinear dynamics and external disturbances.The proposed controller integrated a Radial Basis Function Neural Network(RBFNN)with a disturbance observer and employed a high-dimensional integral Lyapunov function to guarantee system stability and trajectory tracking performance.In the control system,the role of the RBFNN was to estimate uncertain signals in the dynamic model,while the disturbance observer tackled external disturbances during trajectory tracking.Artificially created scenarios for Human-Robot interactive experiments and periodically repeated reference trajectory experiments validated the controller’s performance,demonstrating efficient tracking.The proposed controller is found to achieve superior tracking accuracy with Root-Mean-Squared(RMS)errors of 0.022-0.026 rad for all joints,outperforming conventional Proportional-Integral-Derivative(PID)by 73%and Neural-Fuzzy Adaptive Control(NFAC)by 389.47%lower error.These results suggested that the RBFNN adaptive controller,coupled with disturbance compensation,could serve as an effective rehabilitation tool for upper-limb exoskeletons.These results demonstrate the superiority of the proposed method in enhancing rehabilitation accuracy and robustness,offering a promising solution for the control of upper-limb assistive devices.Based on the obtained results and due to their high robustness,the proposed control schemes can be extended to other motor disabilities,including lower limb exoskeletons.
基金supported by the National Science and Technology Major Projects(No.2011ZX05020-008)Well Logging Advanced Technique and Application Basis Research Project of Petrochina Company(No.2011A-3901)
文摘The radial basis function （RBF） interpolation approach proposed by Freedman is used to solve inverse problems encountered in well-logging and other petrophysical issues. The approach is to predict petrophysical properties in the laboratory on the basis of physical rock datasets, which include the formation factor, viscosity, permeability, and molecular composition. However, this approach does not consider the effect of spatial distribution of the calibration data on the interpolation result. This study proposes a new RBF interpolation approach based on the Freedman＇s RBF interpolation approach, by which the unit basis functions are uniformly populated in the space domain. The inverse results of the two approaches are comparatively analyzed by using our datasets. We determine that although the interpolation effects of the two approaches are equivalent, the new approach is more flexible and beneficial for reducing the number of basis functions when the database is large, resulting in simplification of the interpolation function expression. However, the predicted results of the central data are not sufficiently satisfied when the data clusters are far apart.
文摘To improve the nonlinear approximating ability of cerebellar model articulation controller(CMAC), by introducing the Gauss basis functions and the similarity measure based addressing scheme, a new kind of fuzzy CMAC with Gauss basis functions(GFCMAC) was presented. Moreover, based upon the improvement of the self organizing feature map algorithm of Kohonen, the structural self organizing algorithm for GFCMAC(SOGFCMAC) was proposed. Simulation results show that adopting the Gauss basis functions and fuzzy techniques can remarkably improve the nonlinear approximating capacity of CMAC. Compared with the traditional CMAC,CMAC with general basis functions and fuzzy CMAC(FCMAC), SOGFCMAC has the obvious advantages in the aspects of the convergent speed, approximating accuracy and structural self organizing.
文摘In this paper, an improved radial basis function networks named hidden neuron modifiable radial basis function (HNMRBF) networks is proposed for target classification, and evolutionary programming (EP) is used as a learning algorithm to determine and modify the hidden neuron of HNMRBF nets. The result of passive sonar target classification shows that HNMRBF nets can effectively solve the problem of traditional neural networks, i. e. learning new target patterns on line will cause forgetting of the old patterns.
文摘Aim To detect sensor failure in control system using a single sensor signal. Methods A neural predictor was designed based on a radial basis function network(RBFN), and the neural predictor learned the sensor signal on line with a hybrid algorithm composed of n means clustering and Kalman filter and then gave the estimation of the sensor signal at the next step. If the difference between the estimation and the actural values of the sensor signal exceeded a threshold, the sensor could be declared to have a failure. The choice of the failure detection threshold depends on the noise variance and the possible prediction error of neural predictor. Results and Conclusion\ The computer simulation results show the proposed method can detect sensor failure correctly for a gyro in an automotive engine.
基金Supported by the National Natural Science Foundation of China( 60933008,60970079)
文摘In computer aided geometric design （CAGD）, B′ezier-like bases receive more andmore considerations as new modeling tools in recent years. But those existing B′ezier-like basesare all defined over the rectangular domain. In this paper, we extend the algebraic trigono-metric B′ezier-like basis of order 4 to the triangular domain. The new basis functions definedover the triangular domain are proved to fulfill non-negativity, partition of unity, symmetry,boundary representation, linear independence and so on. We also prove some properties of thecorresponding B′ezier-like surfaces. Finally, some applications of the proposed basis are shown.
