This thesis puts forward a conjecture that, owing to some unknown special character of light, it is impossible to determine whether the speed of light is variable by the interference method. To verify the hypothesis ...This thesis puts forward a conjecture that, owing to some unknown special character of light, it is impossible to determine whether the speed of light is variable by the interference method. To verify the hypothesis of the invariance of light speed, a new method must be found to take accurate measurement of the infinitesimal change in the travelling time of light. The thesis suggests the adoption of high frequency laser pulse technology to carry out the measurement. On the basis of this idea a new discriminating experiment is proposed to test the hypothesis of the invariance of light speed. The thesis also makes some forecast of the future prospects of this experiment and of the future development of the theory of special relativity.展开更多
The ammunition loading system manipulator is susceptible to gear failure due to high-frequency,heavyload reciprocating motions and the absence of protective gear components.After a fault occurs,the distribution of fau...The ammunition loading system manipulator is susceptible to gear failure due to high-frequency,heavyload reciprocating motions and the absence of protective gear components.After a fault occurs,the distribution of fault characteristics under different loads is markedly inconsistent,and data is hard to label,which makes it difficult for the traditional diagnosis method based on single-condition training to generalize to different conditions.To address these issues,the paper proposes a novel transfer discriminant neural network(TDNN)for gear fault diagnosis.Specifically,an optimized joint distribution adaptive mechanism(OJDA)is designed to solve the distribution alignment problem between two domains.To improve the classification effect within the domain and the feature recognition capability for a few labeled data,metric learning is introduced to distinguish features from different fault categories.In addition,TDNN adopts a new pseudo-label training strategy to achieve label replacement by comparing the maximum probability of the pseudo-label with the test result.The proposed TDNN is verified in the experimental data set of the artillery manipulator device,and the diagnosis can achieve 99.5%,significantly outperforming other traditional adaptation methods.展开更多
Extracting more information and saving quantum resources are two main aims for quantum measurements.However,the optimization of strategies for these two objectives varies when discriminating between quantum states |ψ...Extracting more information and saving quantum resources are two main aims for quantum measurements.However,the optimization of strategies for these two objectives varies when discriminating between quantum states |ψ_(0)> and |ψ_(1)> through multiple measurements.In this study,we introduce a novel state discrimination model that reveals the intricate relationship between the average error rate and average copy consumption.By integrating these two crucial metrics and minimizing their weighted sum for any given weight value,our research underscores the infeasibility of simultaneously minimizing these metrics through local measurements with one-way communication.Our findings present a compelling trade-off curve,highlighting the advantages of achieving a balance between error rate and copy consumption in quantum discrimination tasks,offering valuable insights into the optimization of quantum resources while ensuring the accuracy of quantum state discrimination.展开更多
Objective:Pelvic floor sensory training is commonly used in clinical practice for the treatment of stress urinary incontinence(SUI);however,there is a lack of comparative studies evaluating pelvic floor sensation betw...Objective:Pelvic floor sensory training is commonly used in clinical practice for the treatment of stress urinary incontinence(SUI);however,there is a lack of comparative studies evaluating pelvic floor sensation between women with SUI and healthy controls.Additionally,normative data for two-point discrimination thresholds in the female pelvic floor region remain scarce.This study aims to compare the results of 4 sensory tests in the pelvic floor region between women with mild SUI and healthy women,in order to provide reference values for two-point discrimination thresholds in this area.Methods:From April 1 to October 30,2023,108 healthy women[(32.5±3.6)years]and 90 women with mild SUI[(32.9±3.3)years]were recruited from the Third Xiangya Hospital,Central South University.Participants underwent 4 sensory tests in the pelvic floor region:Two-dot discrimination,weight perception,shape recognition,and 9-grid localization.The results were compared between the 2 groups.Results:Compared with healthy women,those with mild SUI had lower sensitivity and higher thresholds in 2-dot discrimination tests in the pelvic floor region(all P<0.001).No significant differences were found between groups in weight perception,shape recognition,or grid localization tests(P>0.05).Conclusion:Women with mild stress urinary incontinence have impaired two-point discrimination ability in the pelvic floor region.展开更多
The discrimination between animal oil and vegetable oil was analyzed by gas chromatography-mass spectroscopy(GC-MS) using esterifying oils under the presence of KOH.Six main fatty acids(myristic acid,palmitoleic acid,...The discrimination between animal oil and vegetable oil was analyzed by gas chromatography-mass spectroscopy(GC-MS) using esterifying oils under the presence of KOH.Six main fatty acids(myristic acid,palmitoleic acid,palmitic acid,linoleic acid,oleinic acid and stearic acid) were determined.It was found that animal oil and vegetable oil not only has a difference in components and relative content,but also has a difference in unsaturation.According to all of these differences,animal oil can be discriminated from vegetable oil.展开更多
The Blindside comes from a figure in true life.Michael Oher,a football player of National Football League(NFL)from Memphis,grows up in the ghetto full of violence and robbery.The film follows his impoverished upbringi...The Blindside comes from a figure in true life.Michael Oher,a football player of National Football League(NFL)from Memphis,grows up in the ghetto full of violence and robbery.The film follows his impoverished upbringing,goes through his years at Wingate Christian School and finally adopted by a white family-the Touhy’s.The Blind Side is certainly a touching story,but it also displays the issue of racial discrimination in various aspects in modern America.Social and educational discrimination are two major factors that result in all.To break the vicious circle of racial discrimination needs people’s joint efforts.At the same time,helping benefits both the helped and the helper.Leigh Anne Touhy’s family also feel the change and enjoy more meaningful and valuable life.展开更多
应用基于气相色谱-质谱联用(GC-MS)的代谢组学方法结合细胞周期实验,研究羽扇豆醇体外抑制人乳腺癌细胞MCF-7增殖的作用机理。代谢组学的研究结果表明:通过正交偏最小方差判别分析(OPLS-DA)可以很好地区分羽扇豆醇作用的MCF-7细胞代谢...应用基于气相色谱-质谱联用(GC-MS)的代谢组学方法结合细胞周期实验,研究羽扇豆醇体外抑制人乳腺癌细胞MCF-7增殖的作用机理。代谢组学的研究结果表明:通过正交偏最小方差判别分析(OPLS-DA)可以很好地区分羽扇豆醇作用的MCF-7细胞代谢谱与对照组细胞代谢谱,模型参数为:R2 Ycum=0.988,Q2 Ycum=0.964。VIP(variable importance in the projection)值大于1的差异代谢物进一步用t检验进行单位分析,选择t<0.05(VIP>1)的代谢物作为羽扇豆醇作用组的生物标志物,得到琥珀酸、磷酸、亮氨酸、异亮氨酸等11种代谢差异物。结合羽扇豆醇将细胞周期抑制在G1期这一现象,推测羽扇豆醇可能是主要抑制了三羧酸循环中的琥珀酰辅酶A的生成和底物磷酸化生成ATP的反应来抑制MCF-7细胞的增殖。本实验从代谢组学角度为乳腺癌抗肿瘤机制提供新的线索。展开更多
Testing is a universal feature of social life.Throughout history people have been put to the test to prove their capabilities or to establish qualifications.Language tests play an important role in many people's l...Testing is a universal feature of social life.Throughout history people have been put to the test to prove their capabilities or to establish qualifications.Language tests play an important role in many people's lives,acting as gateways at important transitional moments in education.The college English test paper was reviewed and checked against the test specifications to see its content coverage and representative.To evaluate the test,this includes item analysis,descriptive statistics,validity,and what we see as the strong points and the weaknesses of the test based on the analysis and the testing conditions,both of which provided validity evidence.In order to gather details of the test items,item analysis was done to find out the difficulty and discrimination of each item and identify misfit items for further discussion.展开更多
In order to apply the performance-based seismic design, an engineer must first find out whether the column is expected to fail in shear before or after flexural yielding. According to column failure characteristics an...In order to apply the performance-based seismic design, an engineer must first find out whether the column is expected to fail in shear before or after flexural yielding. According to column failure characteristics and failure mode of reinforced concrete column, the UW-PEER structure performance database was discussed and analyzed. In order to investigate the relevance of failure mode and factors such as longitudinal reinforcement ratio, transverse reinforcement ratio, hoop spacing to depth ratio, aspect ratio, shearing resistance demand to shear capacity ratio and axial load ratio, Fisher's discriminant analysis(FDA) of the above factors was carried out. A discriminant function was developed to identify column failure mode. Results show that three factors, i.e., Vp /Vn, hoop spacing to depth ratio and aspect ratio have important influence on the failure mode. The failure mode has less to do with longitudinal reinforcement ratio, transverse reinforcement ratio and axial load ratio. Through using these three factors and the model proposed, over 85.6% of the original grouped cases were correctly classified. The value of coefficient of Vp /Vn is the largest, which means that discriminant equation is most sensitive to the shearing resistance demand to shear capacity ratio.展开更多
Based on the principle of Mahalanobis distance discriminant analysis (DDA) theory, a stability classification model for mine-lane surrounding rock was established, including six indexes of discriminant factors that re...Based on the principle of Mahalanobis distance discriminant analysis (DDA) theory, a stability classification model for mine-lane surrounding rock was established, including six indexes of discriminant factors that reflect the engineering quality of surrounding rock: lane depth below surface, span of lane, ratio of directly top layer thickness to coal thickness, uniaxial comprehensive strength of surrounding rock, development degree coefficient of surrounding rock joint and range of broken surrounding rock zone. A DDA model was obtained through training 15 practical measuring samples. The re-substitution method was introduced to verify the stability of DDA model and the ratio of mis-discrimination is zero. The DDA model was used to discriminate 3 new samples and the results are identical with actual rock kind. Compared with the artificial neural network method and support vector mechanic method, the results show that this model has high prediction accuracy and can be used in practical engineering.展开更多
A new polarization measurement algorithm by using the sum and difference beam differential property of mono-pulse radar is given.Based on the generation mechanism differences between the target scattering and multi-fa...A new polarization measurement algorithm by using the sum and difference beam differential property of mono-pulse radar is given.Based on the generation mechanism differences between the target scattering and multi-false-target jamming,the signal models of real targets and digital deceptive false target jamming for sum and delta channel are presented.The polarization discrimination parameters are designed,and the discrimination method and its performance are discussed.This novel method does not need the accurate estimation of the absolute value of full target polarization scattering matrix,but only requires the relative estimation of the orthogonal polarized component of the targets.Without the need to add additional polarization channels,the proposed method is more suitable for engineering realization.The simulation experiment verifies that the correctly identifying probability can be better than 90%.展开更多
For radar high resolution range profile (HRRP) recognition, three aspects are of great importance to improve the performance, i.e. discrimination for outlier, classification for inner and an accurate description for f...For radar high resolution range profile (HRRP) recognition, three aspects are of great importance to improve the performance, i.e. discrimination for outlier, classification for inner and an accurate description for feature space. To tackle these issues, a novel target recognition method is designed, denoted by the multiple support vectors (multi-SV) method. With the proposed method, a special framework is constructed by a treble correlate support vector model to segment the feature space to two regions with the distribution of density, and then the description and classification hyperplane for each region are achieved. Based on the support vector framework, this method needs less memory and computation complexity to fit practical radar HRRP recognition. Finally, the experiment based on the measured data verifies the excellent performance of this method.展开更多
文摘This thesis puts forward a conjecture that, owing to some unknown special character of light, it is impossible to determine whether the speed of light is variable by the interference method. To verify the hypothesis of the invariance of light speed, a new method must be found to take accurate measurement of the infinitesimal change in the travelling time of light. The thesis suggests the adoption of high frequency laser pulse technology to carry out the measurement. On the basis of this idea a new discriminating experiment is proposed to test the hypothesis of the invariance of light speed. The thesis also makes some forecast of the future prospects of this experiment and of the future development of the theory of special relativity.
文摘The ammunition loading system manipulator is susceptible to gear failure due to high-frequency,heavyload reciprocating motions and the absence of protective gear components.After a fault occurs,the distribution of fault characteristics under different loads is markedly inconsistent,and data is hard to label,which makes it difficult for the traditional diagnosis method based on single-condition training to generalize to different conditions.To address these issues,the paper proposes a novel transfer discriminant neural network(TDNN)for gear fault diagnosis.Specifically,an optimized joint distribution adaptive mechanism(OJDA)is designed to solve the distribution alignment problem between two domains.To improve the classification effect within the domain and the feature recognition capability for a few labeled data,metric learning is introduced to distinguish features from different fault categories.In addition,TDNN adopts a new pseudo-label training strategy to achieve label replacement by comparing the maximum probability of the pseudo-label with the test result.The proposed TDNN is verified in the experimental data set of the artillery manipulator device,and the diagnosis can achieve 99.5%,significantly outperforming other traditional adaptation methods.
基金supported by the Fundamental Research Funds for the Central Universities(WK2470000035)USTC Research Funds of the Double First-Class Initiative(YD2030002007,YD2030002011)+1 种基金the National Natural Science Foundation of China(62222512,12104439,12134014,and 11974335)the Anhui Provincial Natural Science Foundation(2208085J03).
文摘Extracting more information and saving quantum resources are two main aims for quantum measurements.However,the optimization of strategies for these two objectives varies when discriminating between quantum states |ψ_(0)> and |ψ_(1)> through multiple measurements.In this study,we introduce a novel state discrimination model that reveals the intricate relationship between the average error rate and average copy consumption.By integrating these two crucial metrics and minimizing their weighted sum for any given weight value,our research underscores the infeasibility of simultaneously minimizing these metrics through local measurements with one-way communication.Our findings present a compelling trade-off curve,highlighting the advantages of achieving a balance between error rate and copy consumption in quantum discrimination tasks,offering valuable insights into the optimization of quantum resources while ensuring the accuracy of quantum state discrimination.
基金supported by the Key Research and Development Program of Hunan Province,China(2023SK2038).
文摘Objective:Pelvic floor sensory training is commonly used in clinical practice for the treatment of stress urinary incontinence(SUI);however,there is a lack of comparative studies evaluating pelvic floor sensation between women with SUI and healthy controls.Additionally,normative data for two-point discrimination thresholds in the female pelvic floor region remain scarce.This study aims to compare the results of 4 sensory tests in the pelvic floor region between women with mild SUI and healthy women,in order to provide reference values for two-point discrimination thresholds in this area.Methods:From April 1 to October 30,2023,108 healthy women[(32.5±3.6)years]and 90 women with mild SUI[(32.9±3.3)years]were recruited from the Third Xiangya Hospital,Central South University.Participants underwent 4 sensory tests in the pelvic floor region:Two-dot discrimination,weight perception,shape recognition,and 9-grid localization.The results were compared between the 2 groups.Results:Compared with healthy women,those with mild SUI had lower sensitivity and higher thresholds in 2-dot discrimination tests in the pelvic floor region(all P<0.001).No significant differences were found between groups in weight perception,shape recognition,or grid localization tests(P>0.05).Conclusion:Women with mild stress urinary incontinence have impaired two-point discrimination ability in the pelvic floor region.
文摘The discrimination between animal oil and vegetable oil was analyzed by gas chromatography-mass spectroscopy(GC-MS) using esterifying oils under the presence of KOH.Six main fatty acids(myristic acid,palmitoleic acid,palmitic acid,linoleic acid,oleinic acid and stearic acid) were determined.It was found that animal oil and vegetable oil not only has a difference in components and relative content,but also has a difference in unsaturation.According to all of these differences,animal oil can be discriminated from vegetable oil.
文摘The Blindside comes from a figure in true life.Michael Oher,a football player of National Football League(NFL)from Memphis,grows up in the ghetto full of violence and robbery.The film follows his impoverished upbringing,goes through his years at Wingate Christian School and finally adopted by a white family-the Touhy’s.The Blind Side is certainly a touching story,but it also displays the issue of racial discrimination in various aspects in modern America.Social and educational discrimination are two major factors that result in all.To break the vicious circle of racial discrimination needs people’s joint efforts.At the same time,helping benefits both the helped and the helper.Leigh Anne Touhy’s family also feel the change and enjoy more meaningful and valuable life.
文摘应用基于气相色谱-质谱联用(GC-MS)的代谢组学方法结合细胞周期实验,研究羽扇豆醇体外抑制人乳腺癌细胞MCF-7增殖的作用机理。代谢组学的研究结果表明:通过正交偏最小方差判别分析(OPLS-DA)可以很好地区分羽扇豆醇作用的MCF-7细胞代谢谱与对照组细胞代谢谱,模型参数为:R2 Ycum=0.988,Q2 Ycum=0.964。VIP(variable importance in the projection)值大于1的差异代谢物进一步用t检验进行单位分析,选择t<0.05(VIP>1)的代谢物作为羽扇豆醇作用组的生物标志物,得到琥珀酸、磷酸、亮氨酸、异亮氨酸等11种代谢差异物。结合羽扇豆醇将细胞周期抑制在G1期这一现象,推测羽扇豆醇可能是主要抑制了三羧酸循环中的琥珀酰辅酶A的生成和底物磷酸化生成ATP的反应来抑制MCF-7细胞的增殖。本实验从代谢组学角度为乳腺癌抗肿瘤机制提供新的线索。
文摘Testing is a universal feature of social life.Throughout history people have been put to the test to prove their capabilities or to establish qualifications.Language tests play an important role in many people's lives,acting as gateways at important transitional moments in education.The college English test paper was reviewed and checked against the test specifications to see its content coverage and representative.To evaluate the test,this includes item analysis,descriptive statistics,validity,and what we see as the strong points and the weaknesses of the test based on the analysis and the testing conditions,both of which provided validity evidence.In order to gather details of the test items,item analysis was done to find out the difficulty and discrimination of each item and identify misfit items for further discussion.
基金Project(2011ZA05) supported by the State Key Laboratory’s Autonomous Project of Subtropical Building Science in South China University of Technology
文摘In order to apply the performance-based seismic design, an engineer must first find out whether the column is expected to fail in shear before or after flexural yielding. According to column failure characteristics and failure mode of reinforced concrete column, the UW-PEER structure performance database was discussed and analyzed. In order to investigate the relevance of failure mode and factors such as longitudinal reinforcement ratio, transverse reinforcement ratio, hoop spacing to depth ratio, aspect ratio, shearing resistance demand to shear capacity ratio and axial load ratio, Fisher's discriminant analysis(FDA) of the above factors was carried out. A discriminant function was developed to identify column failure mode. Results show that three factors, i.e., Vp /Vn, hoop spacing to depth ratio and aspect ratio have important influence on the failure mode. The failure mode has less to do with longitudinal reinforcement ratio, transverse reinforcement ratio and axial load ratio. Through using these three factors and the model proposed, over 85.6% of the original grouped cases were correctly classified. The value of coefficient of Vp /Vn is the largest, which means that discriminant equation is most sensitive to the shearing resistance demand to shear capacity ratio.
基金Project(50490274) supported by the National Natural Science Foundation of China
文摘Based on the principle of Mahalanobis distance discriminant analysis (DDA) theory, a stability classification model for mine-lane surrounding rock was established, including six indexes of discriminant factors that reflect the engineering quality of surrounding rock: lane depth below surface, span of lane, ratio of directly top layer thickness to coal thickness, uniaxial comprehensive strength of surrounding rock, development degree coefficient of surrounding rock joint and range of broken surrounding rock zone. A DDA model was obtained through training 15 practical measuring samples. The re-substitution method was introduced to verify the stability of DDA model and the ratio of mis-discrimination is zero. The DDA model was used to discriminate 3 new samples and the results are identical with actual rock kind. Compared with the artificial neural network method and support vector mechanic method, the results show that this model has high prediction accuracy and can be used in practical engineering.
基金supported by the National Natural Science Foundation of China (6073600660802078)the Hunan Provincial Innovation Foundation for Postgraduate (CX2009B010)
文摘A new polarization measurement algorithm by using the sum and difference beam differential property of mono-pulse radar is given.Based on the generation mechanism differences between the target scattering and multi-false-target jamming,the signal models of real targets and digital deceptive false target jamming for sum and delta channel are presented.The polarization discrimination parameters are designed,and the discrimination method and its performance are discussed.This novel method does not need the accurate estimation of the absolute value of full target polarization scattering matrix,but only requires the relative estimation of the orthogonal polarized component of the targets.Without the need to add additional polarization channels,the proposed method is more suitable for engineering realization.The simulation experiment verifies that the correctly identifying probability can be better than 90%.
文摘For radar high resolution range profile (HRRP) recognition, three aspects are of great importance to improve the performance, i.e. discrimination for outlier, classification for inner and an accurate description for feature space. To tackle these issues, a novel target recognition method is designed, denoted by the multiple support vectors (multi-SV) method. With the proposed method, a special framework is constructed by a treble correlate support vector model to segment the feature space to two regions with the distribution of density, and then the description and classification hyperplane for each region are achieved. Based on the support vector framework, this method needs less memory and computation complexity to fit practical radar HRRP recognition. Finally, the experiment based on the measured data verifies the excellent performance of this method.
