<p align="left"> <span style="font-family:Verdana;">To investigate the relationship between muscle strength and sEMG of biceps brachii during elbow flexion by measuring the maximum musc...<p align="left"> <span style="font-family:Verdana;">To investigate the relationship between muscle strength and sEMG of biceps brachii during elbow flexion by measuring the maximum muscle strength and sEMG value of normal children and adults, and to analyze their sources, so as to lay a theoretical foundation for the method of motor program reconstruction to restore the function after brain injury, 30 healthy children aged 9 - 10 years and 30 adults aged 20 - 30 years were randomly selected. The muscle strength and sEMG of biceps brachii during elbow flexion were detected and recorded, and the data were statistically analyzed. The muscle strength of children was significantly lower than that of adults (P < 0.001), and the sEMG value of biceps brachii was significantly lower than that of adults (P < 0.001), but the sEMG value per kilogram force of children was significantly higher than that of adults (P < 0.01). The results show that there was a very significant difference in pull (efficiency) between adults and children when there was no significant difference in SEMG signal intensity. This is because although children’s central nervous system has matured, the muscle tissue has not been well trained, resulting in insufficient muscle strength. The muscle strength of adults is significantly higher than that of children, because they have been exercising for a long time after the development of the central nervous system. It is proved that sEMG signal is not produced by muscle contraction itself, but comes from the motor program signal of central nervous system which drives muscle contraction, and it is produced before muscle contraction.</span> </p>展开更多
The detection of sparse signals against background noise is considered. Detecting signals of such kind is difficult since only a small portion of the signal carries information. Prior knowledge is usually assumed to e...The detection of sparse signals against background noise is considered. Detecting signals of such kind is difficult since only a small portion of the signal carries information. Prior knowledge is usually assumed to ease detection. In this paper, we consider the general unknown and arbitrary sparse signal detection problem when no prior knowledge is available. Under a Ney- man-Pearson hypothesis-testing framework, a new detection scheme is proposed by combining a generalized likelihood ratio test （GLRT）-Iike test statistic and convex programming methods which directly exploit sparsity in an underdetermined system of linear equations. We characterize large sample behavior of the proposed method by analyzing its asymptotic performance. Specifically, we give the condition for the Chernoff-consistent detection which shows that the proposed method is very sensitive to the norm energy of the sparse signals. Both the false alam rate and the miss rate tend to zero at vanishing signal-to-noise ratio （SNR）, as long as the signal energy grows at least logarithmically with the problem dimension. Next we give a large deviation analysis to characterize the error exponent for the Neyman-Pearson detection. We derive the oracle error exponent assuming signal knowledge. Then we explicitly derive the error exponent of the proposed scheme and compare it with the oracle exponent. We complement our study with numerical experiments, showing that the proposed method performs in the vicinity of the likelihood ratio test （LRT） method in the finite sample scenario and the error probability degrades exponentially with the number of observations.展开更多
背景:骨相关细胞程序性死亡与临床上常见的骨相关疾病(如骨质疏松、骨关节炎)密切相关,中药骨碎补总黄酮可用于调控骨相关细胞程序性死亡,并且具有多靶点调控、毒性低等特点。目的:综述中药骨碎补总黄酮调控骨相关细胞程序性死亡机制的...背景:骨相关细胞程序性死亡与临床上常见的骨相关疾病(如骨质疏松、骨关节炎)密切相关,中药骨碎补总黄酮可用于调控骨相关细胞程序性死亡,并且具有多靶点调控、毒性低等特点。目的:综述中药骨碎补总黄酮调控骨相关细胞程序性死亡机制的研究进展。方法:由第一作者在中国知网、维普数据库、万方数据库和PubMed、Web of Science数据库进行检索,英文检索词为“total flavonoids of rhizoma drynariae,naringin,naringenin,luteolin,kaempferol,programmed cell death,bone,cell”,中文检索词为“骨碎补总黄酮,柚皮素,柚皮苷,木犀草素,山柰酚,程序性死亡,骨,细胞”。根据纳入与排除标准,最终纳入72篇文献进行综述。结果与结论:骨碎补总黄酮通过影响磷脂酰肌醇3激酶/蛋白激酶B、Wnt/β-catenin和沉默信息调节因子3/叉头蛋白O3a等多种信号通路和分子表达降低间充质干细胞、成骨细胞和软骨细胞的死亡率,提高破骨细胞死亡率,纠正骨稳态失衡及软骨退变,为骨相关疾病的治疗提供了新视角。未来可以整合不同组学及测序等技术,系统解析骨碎补总黄酮调控骨相关细胞程序性死亡的分子网络,探讨骨碎补总黄酮多靶点、多途径的治疗作用机制,为骨相关疾病的治疗提供全新思路与方法。展开更多
A state machine can make program designing quicker,simpler and more efficient. This paper describes in detail the model for a state machine and the idea for its designing and gives the design process of the state mach...A state machine can make program designing quicker,simpler and more efficient. This paper describes in detail the model for a state machine and the idea for its designing and gives the design process of the state machine through an example of audio signal generator system based on Labview. The result shows that the introduction of the state machine can make complex design processes more clear and the revision of programs easier.展开更多
Recent years, we have seen the development of many fields of gas detectors. The MICROMEGAS (Micro-Mesh Gas Structure) appeared as the very promising detector. It is a major family of position detectors in High Energy ...Recent years, we have seen the development of many fields of gas detectors. The MICROMEGAS (Micro-Mesh Gas Structure) appeared as the very promising detector. It is a major family of position detectors in High Energy Physics. This work is done in normal (NTP) based gas mixtures: neon are noble gas and isobutane and DME (dimethyl-ether) as moderators gas (quenchers), using 55Fe as a radiation source (X-ray 5.9 keV). To address the modeling of MICROMEGAS detector, a descriptive model of different physical and geometrical phenomena MICROMEGAS was established by developing a simulation program to spreading the detector response. After, an analytical calculation of the potential and the electric field distributions has been presented briefly, to better estimate electrical and geometric configuration. Finally, simulation results of electrical signals based on gas mixtures (Neon-isobutane, Neon-DME) produced by MICROMEGAS were presented and analyzed in order to improve the MICROMEGAS performance (spatial (12 μm) and temporal (0.7 ns) resolutions).展开更多
A maximum entropy method of power spectrum estimation, originally suggested by Burg(l967), has been proven to be a powerful technique for spectrum analysis, primarily due to itshigh resolution properties. A two-dimens...A maximum entropy method of power spectrum estimation, originally suggested by Burg(l967), has been proven to be a powerful technique for spectrum analysis, primarily due to itshigh resolution properties. A two-dimensional form of maximum entropy spectrum estimationproblem had been presented by Burg in an unpublished report. A general solution method for themaximum entropy spectrum estimation with multi-dimensional was described by MeClellan andLang (1983). The two-dimensional maximum entropy problem, however, is highly non1inear, andso far no closed-form solution has been yet found. An algorithm researched by Lim and Malik(1981 ) to solve that problem would be an iterative "alternating projections" type of one. Here, itwould be solved that a fast method of maximum entropy spectrum estimation for multi-dimensionalsignal spectrum analysis by logging data. The result of a nonlinear programming for the maximumentropy with multi-dimensional signal problem and a dualistic nonlinearity one would have beenfound. The maximum entropy spectrum estimation with multi-dimensional might then be obtainedas solution to a dual optimization problem. Therefore, it would be only considered a "correlation-matching" problem in multi-dimentaonal signal for the maximum entropy spectrum estimation bylogging data.展开更多
Emotion is such a unique power of human trial that plays a vital role in distinguishing human civilization from others. Voice is one of the most important media of expressing emotion. We can identify many types of emo...Emotion is such a unique power of human trial that plays a vital role in distinguishing human civilization from others. Voice is one of the most important media of expressing emotion. We can identify many types of emotions by talking or listening to voices. This is what we know as a voice signal. Just as the way people talk is different, so is the way they express emotions. By looking or hearing a person’s way of speaking, we can easily guess his/her personality and instantaneous emotions. People’s emotion and feelings are expressed in different ways. It is through the expression of emotions and feelings that people fully express his thoughts. Happiness, sadness, and anger are the main medium of expression way of different human emotions. To express these emotions, people use body postures, facial expressions and vocalizations. Though people use a variety of means to express emotions and feelings, the easiest and most complete way to express emotion and feelings is voice signal. The subject of our study is whether we can identify the right human emotion by examining the human voice signal. By analyzing the voice signal through wavelet, we have tried to show whether the mean frequency, maximum frequency and <em>L<sub>p</sub></em> values conform to a pattern according to its different sensory types. Moreover, the technique applied here is to develop a concept using MATLAB programming, which will compare the mean frequency, maximum frequency and <em>L<sub>p</sub></em> norm to find relation and detect emotion by analyzing different voices.展开更多
Sparse signal recovery is a topic of considerable interest,and the literature in this field is already quite immense.Many problems that arise in sparse signal recovery can be generalized as a convex programming with l...Sparse signal recovery is a topic of considerable interest,and the literature in this field is already quite immense.Many problems that arise in sparse signal recovery can be generalized as a convex programming with linear conic constraints.In this paper,we present a new proximal point algorithm(PPA) termed as relaxed-PPA(RPPA) contraction method,for solving this common convex programming.More precisely,we first reformulate the convex programming into an equivalent variational inequality(VI),and then efficiently explore its inner structure.In each step,our method relaxes the VI-subproblem to a tractable one,which can be solved much more efficiently than the original VI.Under mild conditions,the convergence of the proposed method is proved.Experiments with l1 analysis show that RPPA is a computationally efficient algorithm and compares favorably with the recently proposed state-of-the-art algorithms.展开更多
既有交叉口信号配时与网联自动驾驶车辆(Connected and Automated Vehicle,CAV)轨迹规划协同优化中,未考虑CAV环境下出口、左转、直行及右转车道数在运营期可灵活动态调整的优势。本文结合CAV技术特征,提出一套CAV环境下交叉口车道分配...既有交叉口信号配时与网联自动驾驶车辆(Connected and Automated Vehicle,CAV)轨迹规划协同优化中,未考虑CAV环境下出口、左转、直行及右转车道数在运营期可灵活动态调整的优势。本文结合CAV技术特征,提出一套CAV环境下交叉口车道分配可动态调整的控制规则,称为灵活车道策略,与已有固定车道策略相比,实现了运营期交叉口各方向出口车道数和进口车道数(包括左转、直行和右转)的灵活调整。将车道分配和信号配时与CAV轨迹规划纳入到一个统一优化框架中,构建混合整数线性规划优化模型,同时,可根据各个方向车道分配情况自动生成可行的相位相序方案,并通过案例分析验证模型的有效性。研究结果表明:优化模型可根据各流向交通需求生成最优车道分配方案,尤其是当固定车道策略的车道分配与各流向交通组成不匹配时,灵活车道策略有助于提升交叉口通行效率;在低流量场景,灵活车道策略降低了4.08%的车均延误;在高流量场景,交叉口采用固定车道策略将处于过饱和状态,而灵活车道策略依然能满足通行需求。展开更多
文摘<p align="left"> <span style="font-family:Verdana;">To investigate the relationship between muscle strength and sEMG of biceps brachii during elbow flexion by measuring the maximum muscle strength and sEMG value of normal children and adults, and to analyze their sources, so as to lay a theoretical foundation for the method of motor program reconstruction to restore the function after brain injury, 30 healthy children aged 9 - 10 years and 30 adults aged 20 - 30 years were randomly selected. The muscle strength and sEMG of biceps brachii during elbow flexion were detected and recorded, and the data were statistically analyzed. The muscle strength of children was significantly lower than that of adults (P < 0.001), and the sEMG value of biceps brachii was significantly lower than that of adults (P < 0.001), but the sEMG value per kilogram force of children was significantly higher than that of adults (P < 0.01). The results show that there was a very significant difference in pull (efficiency) between adults and children when there was no significant difference in SEMG signal intensity. This is because although children’s central nervous system has matured, the muscle tissue has not been well trained, resulting in insufficient muscle strength. The muscle strength of adults is significantly higher than that of children, because they have been exercising for a long time after the development of the central nervous system. It is proved that sEMG signal is not produced by muscle contraction itself, but comes from the motor program signal of central nervous system which drives muscle contraction, and it is produced before muscle contraction.</span> </p>
基金National Basic Research Program of China(2011CB707000)Innovative Research Group National Natural Science Foundation of China(60921001)
文摘The detection of sparse signals against background noise is considered. Detecting signals of such kind is difficult since only a small portion of the signal carries information. Prior knowledge is usually assumed to ease detection. In this paper, we consider the general unknown and arbitrary sparse signal detection problem when no prior knowledge is available. Under a Ney- man-Pearson hypothesis-testing framework, a new detection scheme is proposed by combining a generalized likelihood ratio test （GLRT）-Iike test statistic and convex programming methods which directly exploit sparsity in an underdetermined system of linear equations. We characterize large sample behavior of the proposed method by analyzing its asymptotic performance. Specifically, we give the condition for the Chernoff-consistent detection which shows that the proposed method is very sensitive to the norm energy of the sparse signals. Both the false alam rate and the miss rate tend to zero at vanishing signal-to-noise ratio （SNR）, as long as the signal energy grows at least logarithmically with the problem dimension. Next we give a large deviation analysis to characterize the error exponent for the Neyman-Pearson detection. We derive the oracle error exponent assuming signal knowledge. Then we explicitly derive the error exponent of the proposed scheme and compare it with the oracle exponent. We complement our study with numerical experiments, showing that the proposed method performs in the vicinity of the likelihood ratio test （LRT） method in the finite sample scenario and the error probability degrades exponentially with the number of observations.
文摘背景:骨相关细胞程序性死亡与临床上常见的骨相关疾病(如骨质疏松、骨关节炎)密切相关,中药骨碎补总黄酮可用于调控骨相关细胞程序性死亡,并且具有多靶点调控、毒性低等特点。目的:综述中药骨碎补总黄酮调控骨相关细胞程序性死亡机制的研究进展。方法:由第一作者在中国知网、维普数据库、万方数据库和PubMed、Web of Science数据库进行检索,英文检索词为“total flavonoids of rhizoma drynariae,naringin,naringenin,luteolin,kaempferol,programmed cell death,bone,cell”,中文检索词为“骨碎补总黄酮,柚皮素,柚皮苷,木犀草素,山柰酚,程序性死亡,骨,细胞”。根据纳入与排除标准,最终纳入72篇文献进行综述。结果与结论:骨碎补总黄酮通过影响磷脂酰肌醇3激酶/蛋白激酶B、Wnt/β-catenin和沉默信息调节因子3/叉头蛋白O3a等多种信号通路和分子表达降低间充质干细胞、成骨细胞和软骨细胞的死亡率,提高破骨细胞死亡率,纠正骨稳态失衡及软骨退变,为骨相关疾病的治疗提供了新视角。未来可以整合不同组学及测序等技术,系统解析骨碎补总黄酮调控骨相关细胞程序性死亡的分子网络,探讨骨碎补总黄酮多靶点、多途径的治疗作用机制,为骨相关疾病的治疗提供全新思路与方法。
文摘A state machine can make program designing quicker,simpler and more efficient. This paper describes in detail the model for a state machine and the idea for its designing and gives the design process of the state machine through an example of audio signal generator system based on Labview. The result shows that the introduction of the state machine can make complex design processes more clear and the revision of programs easier.
文摘Recent years, we have seen the development of many fields of gas detectors. The MICROMEGAS (Micro-Mesh Gas Structure) appeared as the very promising detector. It is a major family of position detectors in High Energy Physics. This work is done in normal (NTP) based gas mixtures: neon are noble gas and isobutane and DME (dimethyl-ether) as moderators gas (quenchers), using 55Fe as a radiation source (X-ray 5.9 keV). To address the modeling of MICROMEGAS detector, a descriptive model of different physical and geometrical phenomena MICROMEGAS was established by developing a simulation program to spreading the detector response. After, an analytical calculation of the potential and the electric field distributions has been presented briefly, to better estimate electrical and geometric configuration. Finally, simulation results of electrical signals based on gas mixtures (Neon-isobutane, Neon-DME) produced by MICROMEGAS were presented and analyzed in order to improve the MICROMEGAS performance (spatial (12 μm) and temporal (0.7 ns) resolutions).
文摘A maximum entropy method of power spectrum estimation, originally suggested by Burg(l967), has been proven to be a powerful technique for spectrum analysis, primarily due to itshigh resolution properties. A two-dimensional form of maximum entropy spectrum estimationproblem had been presented by Burg in an unpublished report. A general solution method for themaximum entropy spectrum estimation with multi-dimensional was described by MeClellan andLang (1983). The two-dimensional maximum entropy problem, however, is highly non1inear, andso far no closed-form solution has been yet found. An algorithm researched by Lim and Malik(1981 ) to solve that problem would be an iterative "alternating projections" type of one. Here, itwould be solved that a fast method of maximum entropy spectrum estimation for multi-dimensionalsignal spectrum analysis by logging data. The result of a nonlinear programming for the maximumentropy with multi-dimensional signal problem and a dualistic nonlinearity one would have beenfound. The maximum entropy spectrum estimation with multi-dimensional might then be obtainedas solution to a dual optimization problem. Therefore, it would be only considered a "correlation-matching" problem in multi-dimentaonal signal for the maximum entropy spectrum estimation bylogging data.
基金supported by National Natural Science Foundation of China(61502405,61300039)Provincial Science Foundation of Hunan Province(14JJ3130)+1 种基金Fujian Educational Bureau(JA15368)Xiamen University of Technology(YKJ13024R,XYK201437)
文摘Emotion is such a unique power of human trial that plays a vital role in distinguishing human civilization from others. Voice is one of the most important media of expressing emotion. We can identify many types of emotions by talking or listening to voices. This is what we know as a voice signal. Just as the way people talk is different, so is the way they express emotions. By looking or hearing a person’s way of speaking, we can easily guess his/her personality and instantaneous emotions. People’s emotion and feelings are expressed in different ways. It is through the expression of emotions and feelings that people fully express his thoughts. Happiness, sadness, and anger are the main medium of expression way of different human emotions. To express these emotions, people use body postures, facial expressions and vocalizations. Though people use a variety of means to express emotions and feelings, the easiest and most complete way to express emotion and feelings is voice signal. The subject of our study is whether we can identify the right human emotion by examining the human voice signal. By analyzing the voice signal through wavelet, we have tried to show whether the mean frequency, maximum frequency and <em>L<sub>p</sub></em> values conform to a pattern according to its different sensory types. Moreover, the technique applied here is to develop a concept using MATLAB programming, which will compare the mean frequency, maximum frequency and <em>L<sub>p</sub></em> norm to find relation and detect emotion by analyzing different voices.
基金the National Natural Science Foundation of China(No.70901018)
文摘Sparse signal recovery is a topic of considerable interest,and the literature in this field is already quite immense.Many problems that arise in sparse signal recovery can be generalized as a convex programming with linear conic constraints.In this paper,we present a new proximal point algorithm(PPA) termed as relaxed-PPA(RPPA) contraction method,for solving this common convex programming.More precisely,we first reformulate the convex programming into an equivalent variational inequality(VI),and then efficiently explore its inner structure.In each step,our method relaxes the VI-subproblem to a tractable one,which can be solved much more efficiently than the original VI.Under mild conditions,the convergence of the proposed method is proved.Experiments with l1 analysis show that RPPA is a computationally efficient algorithm and compares favorably with the recently proposed state-of-the-art algorithms.
文摘既有交叉口信号配时与网联自动驾驶车辆(Connected and Automated Vehicle,CAV)轨迹规划协同优化中,未考虑CAV环境下出口、左转、直行及右转车道数在运营期可灵活动态调整的优势。本文结合CAV技术特征,提出一套CAV环境下交叉口车道分配可动态调整的控制规则,称为灵活车道策略,与已有固定车道策略相比,实现了运营期交叉口各方向出口车道数和进口车道数(包括左转、直行和右转)的灵活调整。将车道分配和信号配时与CAV轨迹规划纳入到一个统一优化框架中,构建混合整数线性规划优化模型,同时,可根据各个方向车道分配情况自动生成可行的相位相序方案,并通过案例分析验证模型的有效性。研究结果表明:优化模型可根据各流向交通需求生成最优车道分配方案,尤其是当固定车道策略的车道分配与各流向交通组成不匹配时,灵活车道策略有助于提升交叉口通行效率;在低流量场景,灵活车道策略降低了4.08%的车均延误;在高流量场景,交叉口采用固定车道策略将处于过饱和状态,而灵活车道策略依然能满足通行需求。
