Transcranial photobiomodulation(tPBM)therapy has demonstrated considerable potential in neuropsychiatric disorders.Several studies have found that pulsed wave(PW)tPBM therapy yields superior biomodulatory effects.Howe...Transcranial photobiomodulation(tPBM)therapy has demonstrated considerable potential in neuropsychiatric disorders.Several studies have found that pulsed wave(PW)tPBM therapy yields superior biomodulatory effects.However,its neural mechanisms are still unknown.We conducted a randomized,single-blind,controlled,crossover study,with PW tPBM administered(8 min,980-nm laser,average power density of 238.85 mW∕cm2).We introduce a novel framework integrating EEG microstate temporal dynamics and brain functional connectivity with explainable machine learning to comprehensively model the tPBM effect.In detail,PW t PBM significantly improved microstate C's mean durations and network metrics with medium to large effect sizes compared with controls.The support vector machine based on radial basis function(RBF SVM)model with kernel Shapley additive explanation(SHAP)analysis[the area under the curve(AUC)=0.956]identified eight of ten key microstate-C-related features driving these effects.In conclusion,the EEG microstate analysis revealed that PW tPBM therapy specifically modulates microstate C patterns in the human brain,suggesting that microstate dynamics may serve as a state-dependent biomarker to optimize the tPBM protocol.展开更多
We presented a passively Q-switched(PQS) diode-pumped c-cut Tm, Ho:LuVO_4 laser with a black phosphorus saturable absorber for the first time.Under PQS mode, an average output power of 0.86 W and a peak power of 2.32 ...We presented a passively Q-switched(PQS) diode-pumped c-cut Tm, Ho:LuVO_4 laser with a black phosphorus saturable absorber for the first time.Under PQS mode, an average output power of 0.86 W and a peak power of 2.32 W were acquired from the Tm, Ho:LuVO4 laser with the pump power of 14.55 W, corresponding to a pulse width of 2.89 μs,a pulse repetition rate of 71.84 kHz, and a pulse energy of about 6.70 μJ.展开更多
With the development of the service-oriented computing(SOC),web service has an important and popular solution for the design of the application system to various enterprises.Nowadays,the numerous web services are prov...With the development of the service-oriented computing(SOC),web service has an important and popular solution for the design of the application system to various enterprises.Nowadays,the numerous web services are provided by the service providers on the network,it becomes difficult for users to select the best reliable one from a large number of services with the same function.So it is necessary to design feasible selection strategies to provide users with the reliable services.Most existing methods attempt to select services according to accurate predictions for the quality of service(QoS)values.However,because the network and user needs are dynamic,it is almost impossible to accurately predict the QoS values.Furthermore,accurate prediction is generally time-consuming.This paper proposes a service decision tree based post-pruning prediction approach.This paper first defines the five reliability levels for measuring the reliability of services.By analyzing the quality data of service from the network,the proposed method can generate the training set and convert them into the service decision tree model.Using the generated model and the given predicted services,the proposed method classifies the service to the corresponding reliability level after discretizing the continuous attribute of service.Moreover,this paper applies the post-pruning strategy to optimize the generated model for avoiding the over-fitting.Experimental results show that the proposed method is effective in predicting the service reliability.展开更多
Pore volume/surface area and size distribution heterogeneity are two important parameters of pore structures,which restrict the gas-water-oil migration process in sandstone reservoirs.The fractal theory has been prove...Pore volume/surface area and size distribution heterogeneity are two important parameters of pore structures,which restrict the gas-water-oil migration process in sandstone reservoirs.The fractal theory has been proved to be one of the most effective methods to quantify pore distribution heterogeneity.However,the dynamic variation of porosity and permeability due to fractal characteristics has been rarely studied.In this paper,physical properties,mineral composition,and pore distribution of 18 groups of sandstone samples were analyzed using scanning electron microscope(SEM)and high-pressure mercury injection tests.Then,Sierpinski model,Menger model,thermodynamic model,and multi-fractal model were used to calculate the fractal dimension of the pore volume.Thus,the relationship between fractal dimension and porosity/permeability variation rate,and pore compressibility were studied.The results are as follows.1)All samples can be divided into three types based on pore volume(0.9 cm3∙g−1)and mercury removal efficiency(35%),i.e.,Type A(0.9 cm3∙g−1 and0.9 cm3∙g−1 and>35%).2)Four fractal models had poor applicability in characterizing fractal characteristics of different sample types.The fractal dimension by the Sierpinski model had a good linear correlation with that of other models.Pores with smaller volumes dominated the overall pore distribution heterogeneity by multi-fractal dimension.The pore diameter between 200−1000 nm and larger than 1000 nm was the key pore size interval that determined the fractal characteristics.3)With the increase of confining pressures,porosity and permeability decreased in the form of a power function.The compressibility coefficient of typical samples was 0.002−0.2 MPa−1.The compressibility of Types A and B was significantly higher than that of Type C,indicating that the total pore volume was not the key factor affecting the pore compressibility.The correlation of compressibility coefficient/porosity variation rate with pore volume(total and different size pore volume),fractal value and mineral component were not significant.This indicates that these three factors comprehensively restricted pore compression.展开更多
The active/passive Q-switching operation of a 2 [tm a-cut Tm,Ho:YAP laser was experimentally demonstrated with an acousto-optical Q-switch/MoS2 saturable absorber mirror. The active Q-switch laser was operated for th...The active/passive Q-switching operation of a 2 [tm a-cut Tm,Ho:YAP laser was experimentally demonstrated with an acousto-optical Q-switch/MoS2 saturable absorber mirror. The active Q-switch laser was operated for the first time, to the best of our knowledge, with an average output power of 12.3 W and a maximum pulse energy of 10.3 mJ. The passive Q-switch laser was also the first acquired with an average output power of 3.3 W and per pulse energy of 23.31 μJ, and the beam quality factors of Mx^2 = 1.06 and My^2 = 1.06 were measured at the average output power of 2 W.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.62275210)the National Leading Talent Program+6 种基金the National Young Talent Programthe Key Research and Development Program of Shaanxi(Grant No.2022GY-313)the Qinchuangyuan Scientists&Engineers of Shaanxi,the Xi’an Science and Technology Project(Grant No.23ZDCYJSGG0026-2023)the Fundamental Research Funds for the Central Universities(Grant Nos.ZYTS23192 and QTZX24079)the Xidian University Specially Funded Project for Interdisciplinary Exploration(Grant No.TZJH2024036)the Science and Technology Development Fund(Grant No.FDCT:0062/2024/RIB2)the Innovation Fund of Xidian University。
摘要Transcranial photobiomodulation(tPBM)therapy has demonstrated considerable potential in neuropsychiatric disorders.Several studies have found that pulsed wave(PW)tPBM therapy yields superior biomodulatory effects.However,its neural mechanisms are still unknown.We conducted a randomized,single-blind,controlled,crossover study,with PW tPBM administered(8 min,980-nm laser,average power density of 238.85 mW∕cm2).We introduce a novel framework integrating EEG microstate temporal dynamics and brain functional connectivity with explainable machine learning to comprehensively model the tPBM effect.In detail,PW t PBM significantly improved microstate C's mean durations and network metrics with medium to large effect sizes compared with controls.The support vector machine based on radial basis function(RBF SVM)model with kernel Shapley additive explanation(SHAP)analysis[the area under the curve(AUC)=0.956]identified eight of ten key microstate-C-related features driving these effects.In conclusion,the EEG microstate analysis revealed that PW tPBM therapy specifically modulates microstate C patterns in the human brain,suggesting that microstate dynamics may serve as a state-dependent biomarker to optimize the tPBM protocol.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.61775053,51572053,51777046,and 61705140)
摘要We presented a passively Q-switched(PQS) diode-pumped c-cut Tm, Ho:LuVO_4 laser with a black phosphorus saturable absorber for the first time.Under PQS mode, an average output power of 0.86 W and a peak power of 2.32 W were acquired from the Tm, Ho:LuVO4 laser with the pump power of 14.55 W, corresponding to a pulse width of 2.89 μs,a pulse repetition rate of 71.84 kHz, and a pulse energy of about 6.70 μJ.
基金This paper is partially supported by the National Natural Science Foundation of China under Grant No.61972053 and No.61603054by the Scientific Research Foundation of Liaoning Education Department under Grant No.LQ2019016,No.LJ2019015by the Natural Science Foundation of Liaoning Province,China under Grant No.2019-ZD-0505.
摘要With the development of the service-oriented computing(SOC),web service has an important and popular solution for the design of the application system to various enterprises.Nowadays,the numerous web services are provided by the service providers on the network,it becomes difficult for users to select the best reliable one from a large number of services with the same function.So it is necessary to design feasible selection strategies to provide users with the reliable services.Most existing methods attempt to select services according to accurate predictions for the quality of service(QoS)values.However,because the network and user needs are dynamic,it is almost impossible to accurately predict the QoS values.Furthermore,accurate prediction is generally time-consuming.This paper proposes a service decision tree based post-pruning prediction approach.This paper first defines the five reliability levels for measuring the reliability of services.By analyzing the quality data of service from the network,the proposed method can generate the training set and convert them into the service decision tree model.Using the generated model and the given predicted services,the proposed method classifies the service to the corresponding reliability level after discretizing the continuous attribute of service.Moreover,this paper applies the post-pruning strategy to optimize the generated model for avoiding the over-fitting.Experimental results show that the proposed method is effective in predicting the service reliability.
基金sponsored by the This research was sponsored by the Research Fund of Shandong Coalfield Geological Bureau(No.2022-003)Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process of the Ministry of Education(China University of Mining and Technology)(No.2023-007)Shandong Coalfield Geological Bureau Research Special Project of 2024s(No.MTDZKY-2024-35).
摘要Pore volume/surface area and size distribution heterogeneity are two important parameters of pore structures,which restrict the gas-water-oil migration process in sandstone reservoirs.The fractal theory has been proved to be one of the most effective methods to quantify pore distribution heterogeneity.However,the dynamic variation of porosity and permeability due to fractal characteristics has been rarely studied.In this paper,physical properties,mineral composition,and pore distribution of 18 groups of sandstone samples were analyzed using scanning electron microscope(SEM)and high-pressure mercury injection tests.Then,Sierpinski model,Menger model,thermodynamic model,and multi-fractal model were used to calculate the fractal dimension of the pore volume.Thus,the relationship between fractal dimension and porosity/permeability variation rate,and pore compressibility were studied.The results are as follows.1)All samples can be divided into three types based on pore volume(0.9 cm3∙g−1)and mercury removal efficiency(35%),i.e.,Type A(0.9 cm3∙g−1 and0.9 cm3∙g−1 and>35%).2)Four fractal models had poor applicability in characterizing fractal characteristics of different sample types.The fractal dimension by the Sierpinski model had a good linear correlation with that of other models.Pores with smaller volumes dominated the overall pore distribution heterogeneity by multi-fractal dimension.The pore diameter between 200−1000 nm and larger than 1000 nm was the key pore size interval that determined the fractal characteristics.3)With the increase of confining pressures,porosity and permeability decreased in the form of a power function.The compressibility coefficient of typical samples was 0.002−0.2 MPa−1.The compressibility of Types A and B was significantly higher than that of Type C,indicating that the total pore volume was not the key factor affecting the pore compressibility.The correlation of compressibility coefficient/porosity variation rate with pore volume(total and different size pore volume),fractal value and mineral component were not significant.This indicates that these three factors comprehensively restricted pore compression.
基金National Natural Science Foundation of China(NSFC)(61378029,61775053,51572053,51777046)Science Foundation for Outstanding Youths of Heilongjiang Province(JC2016016)Science Foundation for Youths of Heilongjiang Province(QC2017078)
摘要The active/passive Q-switching operation of a 2 [tm a-cut Tm,Ho:YAP laser was experimentally demonstrated with an acousto-optical Q-switch/MoS2 saturable absorber mirror. The active Q-switch laser was operated for the first time, to the best of our knowledge, with an average output power of 12.3 W and a maximum pulse energy of 10.3 mJ. The passive Q-switch laser was also the first acquired with an average output power of 3.3 W and per pulse energy of 23.31 μJ, and the beam quality factors of Mx^2 = 1.06 and My^2 = 1.06 were measured at the average output power of 2 W.