Since the position of the electron in a hydrogen atom cannot be determined, the region in which it resides is said to be determined stochastically and forms an electron cloud. The probability density function of the s...Since the position of the electron in a hydrogen atom cannot be determined, the region in which it resides is said to be determined stochastically and forms an electron cloud. The probability density function of the single electron in 1s orbit is expressed as φ2, a function of distance from the nucleus. However, the probability of existence of the electron is expressed as a radial distribution function at an arbitrary distance from the nucleus, so it is estimated as the probability of the entire spherical shape of that radius. In this study, it has been found that the electron existence probability approximates the radial distribution function by assuming that the probability of existence of the electron being in the vicinity of the nucleus follows a normal distribution for arbitrary x-, y-, and z-axis directions. This implies that the probability of existence of the electron, which has been known only from the distance information, would follow a normal distribution independently in the three directions. When the electrons’ motion is extremely restricted in a certain direction by the magnetic field of both tokamak and helical fusion reactors, the probability of existence of the electron increases with proximity to the nucleus, and as a result, it is less likely to be liberated from the nucleus. Therefore, more and more energy is required to free the nucleus from the electron in order to generate plasma.展开更多
Functional brain networks (FBN) based on resting-state functional magnetic resonance imaging (rs-fMRI) have become an important tool for exploring underlying organization patterns in the brain, which can provide an ob...Functional brain networks (FBN) based on resting-state functional magnetic resonance imaging (rs-fMRI) have become an important tool for exploring underlying organization patterns in the brain, which can provide an objective basis for brain disorders such as autistic spectrum disorder (ASD). Due to its importance, researchers have proposed a number of FBN estimation methods. However, most existing methods only model a type of functional connection relationship between brain regions-of-interest (ROIs), such as partial correlation or full correlation, which is difficult to fully capture the subtle connections among ROIs since these connections are extremely complex. Motivated by the multi-view learning, in this study we propose a novel Consistent and Specific Multi-view FBNs Fusion (CSMF) approach. Concretely, we first construct multi-view FBNs (i.e., multiple types of FBNs modelling various relationships among ROIs), and then these FBNs are decomposed into a consistent representation matrix and their own specific matrices which capture their common and unique information, respectively. Lastly, to obtain a better brain representation, it is fusing the consistent and specific representation matrices in the latent representation spaces of FBNs, but not directly fusing the original FBNs. This potentially makes it more easily to find the comprehensively brain connections. The experimental results of ASD identification on the ABIDE datasets validate the effectiveness of our proposed method compared to several state-of-the-art methods. Our proposed CSMF method achieved 72.8% and 76.67% classification performance on the ABIDE dataset.展开更多
As the differences of sensor＇s precision and some random factors are difficult to control,the actual measurement signals are far from the target signals that affect the reliability and precision of rotating machinery...As the differences of sensor＇s precision and some random factors are difficult to control,the actual measurement signals are far from the target signals that affect the reliability and precision of rotating machinery fault diagnosis.The traditional signal processing methods,such as classical inference and weighted averaging algorithm usually lack dynamic adaptability that is easy for trends to cause the faults to be misjudged or left out.To enhance the measuring veracity and precision of vibration signal in rotary machine multi-sensor vibration signal fault diagnosis,a novel data level fusion approach is presented on the basis of correlation function analysis to fast determine the weighted value of multi-sensor vibration signals.The approach doesn＇t require knowing the prior information about sensors,and the weighted value of sensors can be confirmed depending on the correlation measure of real-time data tested in the data level fusion process.It gives greater weighted value to the greater correlation measure of sensor signals,and vice versa.The approach can effectively suppress large errors and even can still fuse data in the case of sensor failures because it takes full advantage of sensor＇s own-information to determine the weighted value.Moreover,it has good performance of anti-jamming due to the correlation measures between noise and effective signals are usually small.Through the simulation of typical signal collected from multi-sensors,the comparative analysis of dynamic adaptability and fault tolerance between the proposed approach and traditional weighted averaging approach is taken.Finally,the rotor dynamics and integrated fault simulator is taken as an example to verify the feasibility and advantages of the proposed approach,it is shown that the multi-sensor data level fusion based on correlation function weighted approach is better than the traditional weighted average approach with respect to fusion precision and dynamic adaptability.Meantime,the approach is adaptable and easy to use,can be applied to other areas of vibration measurement.展开更多
The Intrinsic structural disorder (ISD) of native EWS and its fusion oncogenic proteins, including EWS/FliI, EWS/ATF1 and EWS/ZSG, was estimated by different Predictors. The ISD difference between the wild type and th...The Intrinsic structural disorder (ISD) of native EWS and its fusion oncogenic proteins, including EWS/FliI, EWS/ATF1 and EWS/ZSG, was estimated by different Predictors. The ISD difference between the wild type and the oncogenic fusions found in the CTD is due to the fusion partner, usually a transcription factor (TF). A disordered region was found in the sequence (AA 132 - 156) of the NTD (EAD) of EWS, consisting of the longest region free of Y motifs. The IQ domain (AA 258 - 280), a Y-free region, flanked by two Y-boxes, is also disordered by all used Predictors. The EWS functional regions RGG1, RGG2 and RGG3 are predominantly disordered. A strong dependence was found between the structure of EWS protein and its oncogenic fusions, and their estimated ISD. The oncogenic function of the fusions is related to a decreased ISD in the CTD, due to the fused TF. The Predictors shown that the different isoforms have similar profiles, shifted with some amino acids, due to the translocations. On the bases of the prediction results, an analysis was made of the EWS sequence and its functional regions with increased ISD to make a relationship sequence-disorder-function that could be helpful in the design of antitumor agents against the corresponding malignances.展开更多
The authors have applied a systems analysis approach to describe the musculoskeletal system as consisting of a stack of superimposed kinematic hier-archical segments in which each lower segment tends to transfer its m...The authors have applied a systems analysis approach to describe the musculoskeletal system as consisting of a stack of superimposed kinematic hier-archical segments in which each lower segment tends to transfer its motion to the other superimposed segments. This segmental chain enables the derivation of both conscious perception and sensory control of action in space. This applied systems analysis approach involves the measurements of the complex motor behavior in order to elucidate the fusion of multiple sensor data for the reliable and efficient acquisition of the kinetic, kinematics and electromyographic data of the human spatial behavior. The acquired kinematic and related kinetic signals represent attributive features of the internal recon-struction of the physical links between the superimposed body segments. In-deed, this reconstruction of the physical links was established as a result of the fusion of the multiple sensor data. Furthermore, this acquired kinematics, kinetics and electromyographic data provided detailed means to record, annotate, process, transmit, and display pertinent information derived from the musculoskeletal system to quantify and differentiate between subjects with mobility-related disabilities and able-bodied subjects, and enabled an inference into the active neural processes underlying balance reactions. To gain insight into the basis for this long-term dependence, the authors have applied the fusion of multiple sensor data to investigate the effects of Cerebral Palsy, Multiple Sclerosis and Diabetic Neuropathy conditions, on biomechanical/neurophysiological changes that may alter the ability of the human loco-motor system to generate ambulation, balance and posture.展开更多
针对传统最佳缝合线算法难以有效消除显微图像拼接后的拼接缝问题,提出一种基于最佳缝合线的图像融合优化算法。首先,利用ORB(oriented FAST and rotated BRIEF)算法对待拼接图像进行特征提取并定位重叠区域;其次,设计改进能量函数,结...针对传统最佳缝合线算法难以有效消除显微图像拼接后的拼接缝问题,提出一种基于最佳缝合线的图像融合优化算法。首先,利用ORB(oriented FAST and rotated BRIEF)算法对待拼接图像进行特征提取并定位重叠区域;其次,设计改进能量函数,结合动态规划技术,在重叠区域内有效搜索出最佳缝合线,基于这条缝合线,进一步采用改进融合方法有效融合两幅图像;最后,利用泊松融合方法消除重叠区域与非重叠区域之间存在的拼接缝,得到最终图像。实验结果显示,该方法将最佳缝合线两侧像素的相似度提高了5%左右,降低了能量损失,有效消除了拼接缝,提高了图像质量。展开更多
目的:探讨Delta大通道内镜辅助下后路椎管减压椎间植骨融合术治疗退变性腰椎疾病的效果。方法:回顾性分析2021年9月~2022年9月我院收治的80例退变性腰椎疾病患者的病历资料,根据患者治疗方式分为观察组(38例,男17例,女21例,年龄61.0...目的:探讨Delta大通道内镜辅助下后路椎管减压椎间植骨融合术治疗退变性腰椎疾病的效果。方法:回顾性分析2021年9月~2022年9月我院收治的80例退变性腰椎疾病患者的病历资料,根据患者治疗方式分为观察组(38例,男17例,女21例,年龄61.0±4.9岁)和对照组(42例,男20例,女22例,年龄60.5±5.4岁),观察组患者采取Delta大通道内镜下Endo-PLIF治疗,对照组采取开放后路腰椎椎间融合术治疗,记录两组患者术中出血量、术后引流量、手术时间、手术切口长度、住院时间,比较患者并发症发生情况。于术前、术后1周、1个月、3个月、6个月使用视觉模拟量表(visual analogue scale,VAS)评分评估患者腰痛情况,并采用Oswestry功能障碍指数(Oswestry disability index,ODI)评估患者腰椎功能;使用改良Macnab标准对患者进行疗效评估。根据患者术后1年随访时的腰椎影像学复查结果,使用Bridwell椎间融合标准对患者手术节段融合情况进行评估。结果:观察组患者的术中出血量及术后引流量分别低于对照组(88.46±10.98mL vs 112.99±12.01mL、159.73±18.42mL vs 201.36±23.06mL,P<0.05),手术切口及住院时间分别短于对照组(1.54±0.36cm vs 5.43±1.01cm、6.79±1.22d vs 8.03±1.43d,P<0.05),手术时间长于对照组(162.33±19.57min vs 126.87±23.15min,P<0.05)。80例患者术后均获随访,随访时间15~40个月(19.0±6.3个月)。观察组患者术后1周、术后1个月的VAS评分分别为2.46±0.51分、1.21±0.38分,ODI分别为(17.84±4.15)%、(10.69±1.88)%,均低于对照组[VAS评分分别为3.68±0.62分、2.01±0.41分,ODI分别为(21.33±3.48)%、(12.33±2.17)%,均P<0.05],两组患者术后3个月、术后6个月的VAS评分比较无统计学差异(P>0.05)。观察组治疗优良率为92.11%,与对照组的85.71%比较无统计学意义(P=0.487)。两组患者融合分级比较,差异无统计学意义(Z=0.487,P=0.624)。观察组术后并发症发生率为5.26%,与对照组的9.52%比较无统计学差异(P=0.678)。结论:Delta大通道内镜辅助下后路椎管减压椎间植骨融合术治疗退变性腰椎疾病效果良好,可以减少术中出血量,缩短手术切口和住院时间,更快改善患者术后短期内疼痛、腰椎功能,安全性较好。展开更多
文摘Since the position of the electron in a hydrogen atom cannot be determined, the region in which it resides is said to be determined stochastically and forms an electron cloud. The probability density function of the single electron in 1s orbit is expressed as φ2, a function of distance from the nucleus. However, the probability of existence of the electron is expressed as a radial distribution function at an arbitrary distance from the nucleus, so it is estimated as the probability of the entire spherical shape of that radius. In this study, it has been found that the electron existence probability approximates the radial distribution function by assuming that the probability of existence of the electron being in the vicinity of the nucleus follows a normal distribution for arbitrary x-, y-, and z-axis directions. This implies that the probability of existence of the electron, which has been known only from the distance information, would follow a normal distribution independently in the three directions. When the electrons’ motion is extremely restricted in a certain direction by the magnetic field of both tokamak and helical fusion reactors, the probability of existence of the electron increases with proximity to the nucleus, and as a result, it is less likely to be liberated from the nucleus. Therefore, more and more energy is required to free the nucleus from the electron in order to generate plasma.
文摘Functional brain networks (FBN) based on resting-state functional magnetic resonance imaging (rs-fMRI) have become an important tool for exploring underlying organization patterns in the brain, which can provide an objective basis for brain disorders such as autistic spectrum disorder (ASD). Due to its importance, researchers have proposed a number of FBN estimation methods. However, most existing methods only model a type of functional connection relationship between brain regions-of-interest (ROIs), such as partial correlation or full correlation, which is difficult to fully capture the subtle connections among ROIs since these connections are extremely complex. Motivated by the multi-view learning, in this study we propose a novel Consistent and Specific Multi-view FBNs Fusion (CSMF) approach. Concretely, we first construct multi-view FBNs (i.e., multiple types of FBNs modelling various relationships among ROIs), and then these FBNs are decomposed into a consistent representation matrix and their own specific matrices which capture their common and unique information, respectively. Lastly, to obtain a better brain representation, it is fusing the consistent and specific representation matrices in the latent representation spaces of FBNs, but not directly fusing the original FBNs. This potentially makes it more easily to find the comprehensively brain connections. The experimental results of ASD identification on the ABIDE datasets validate the effectiveness of our proposed method compared to several state-of-the-art methods. Our proposed CSMF method achieved 72.8% and 76.67% classification performance on the ABIDE dataset.
基金supported by National Hi-tech Research and Development Program of China (863 Program, Grant No. 2007AA04Z433)Hunan Provincial Natural Science Foundation of China (Grant No. 09JJ8005)Scientific Research Foundation of Graduate School of Beijing University of Chemical and Technology,China (Grant No. 10Me002)
文摘As the differences of sensor＇s precision and some random factors are difficult to control,the actual measurement signals are far from the target signals that affect the reliability and precision of rotating machinery fault diagnosis.The traditional signal processing methods,such as classical inference and weighted averaging algorithm usually lack dynamic adaptability that is easy for trends to cause the faults to be misjudged or left out.To enhance the measuring veracity and precision of vibration signal in rotary machine multi-sensor vibration signal fault diagnosis,a novel data level fusion approach is presented on the basis of correlation function analysis to fast determine the weighted value of multi-sensor vibration signals.The approach doesn＇t require knowing the prior information about sensors,and the weighted value of sensors can be confirmed depending on the correlation measure of real-time data tested in the data level fusion process.It gives greater weighted value to the greater correlation measure of sensor signals,and vice versa.The approach can effectively suppress large errors and even can still fuse data in the case of sensor failures because it takes full advantage of sensor＇s own-information to determine the weighted value.Moreover,it has good performance of anti-jamming due to the correlation measures between noise and effective signals are usually small.Through the simulation of typical signal collected from multi-sensors,the comparative analysis of dynamic adaptability and fault tolerance between the proposed approach and traditional weighted averaging approach is taken.Finally,the rotor dynamics and integrated fault simulator is taken as an example to verify the feasibility and advantages of the proposed approach,it is shown that the multi-sensor data level fusion based on correlation function weighted approach is better than the traditional weighted average approach with respect to fusion precision and dynamic adaptability.Meantime,the approach is adaptable and easy to use,can be applied to other areas of vibration measurement.
文摘The Intrinsic structural disorder (ISD) of native EWS and its fusion oncogenic proteins, including EWS/FliI, EWS/ATF1 and EWS/ZSG, was estimated by different Predictors. The ISD difference between the wild type and the oncogenic fusions found in the CTD is due to the fusion partner, usually a transcription factor (TF). A disordered region was found in the sequence (AA 132 - 156) of the NTD (EAD) of EWS, consisting of the longest region free of Y motifs. The IQ domain (AA 258 - 280), a Y-free region, flanked by two Y-boxes, is also disordered by all used Predictors. The EWS functional regions RGG1, RGG2 and RGG3 are predominantly disordered. A strong dependence was found between the structure of EWS protein and its oncogenic fusions, and their estimated ISD. The oncogenic function of the fusions is related to a decreased ISD in the CTD, due to the fused TF. The Predictors shown that the different isoforms have similar profiles, shifted with some amino acids, due to the translocations. On the bases of the prediction results, an analysis was made of the EWS sequence and its functional regions with increased ISD to make a relationship sequence-disorder-function that could be helpful in the design of antitumor agents against the corresponding malignances.
文摘The authors have applied a systems analysis approach to describe the musculoskeletal system as consisting of a stack of superimposed kinematic hier-archical segments in which each lower segment tends to transfer its motion to the other superimposed segments. This segmental chain enables the derivation of both conscious perception and sensory control of action in space. This applied systems analysis approach involves the measurements of the complex motor behavior in order to elucidate the fusion of multiple sensor data for the reliable and efficient acquisition of the kinetic, kinematics and electromyographic data of the human spatial behavior. The acquired kinematic and related kinetic signals represent attributive features of the internal recon-struction of the physical links between the superimposed body segments. In-deed, this reconstruction of the physical links was established as a result of the fusion of the multiple sensor data. Furthermore, this acquired kinematics, kinetics and electromyographic data provided detailed means to record, annotate, process, transmit, and display pertinent information derived from the musculoskeletal system to quantify and differentiate between subjects with mobility-related disabilities and able-bodied subjects, and enabled an inference into the active neural processes underlying balance reactions. To gain insight into the basis for this long-term dependence, the authors have applied the fusion of multiple sensor data to investigate the effects of Cerebral Palsy, Multiple Sclerosis and Diabetic Neuropathy conditions, on biomechanical/neurophysiological changes that may alter the ability of the human loco-motor system to generate ambulation, balance and posture.
文摘针对传统最佳缝合线算法难以有效消除显微图像拼接后的拼接缝问题,提出一种基于最佳缝合线的图像融合优化算法。首先,利用ORB(oriented FAST and rotated BRIEF)算法对待拼接图像进行特征提取并定位重叠区域;其次,设计改进能量函数,结合动态规划技术,在重叠区域内有效搜索出最佳缝合线,基于这条缝合线,进一步采用改进融合方法有效融合两幅图像;最后,利用泊松融合方法消除重叠区域与非重叠区域之间存在的拼接缝,得到最终图像。实验结果显示,该方法将最佳缝合线两侧像素的相似度提高了5%左右,降低了能量损失,有效消除了拼接缝,提高了图像质量。
文摘目的:探讨Delta大通道内镜辅助下后路椎管减压椎间植骨融合术治疗退变性腰椎疾病的效果。方法:回顾性分析2021年9月~2022年9月我院收治的80例退变性腰椎疾病患者的病历资料,根据患者治疗方式分为观察组(38例,男17例,女21例,年龄61.0±4.9岁)和对照组(42例,男20例,女22例,年龄60.5±5.4岁),观察组患者采取Delta大通道内镜下Endo-PLIF治疗,对照组采取开放后路腰椎椎间融合术治疗,记录两组患者术中出血量、术后引流量、手术时间、手术切口长度、住院时间,比较患者并发症发生情况。于术前、术后1周、1个月、3个月、6个月使用视觉模拟量表(visual analogue scale,VAS)评分评估患者腰痛情况,并采用Oswestry功能障碍指数(Oswestry disability index,ODI)评估患者腰椎功能;使用改良Macnab标准对患者进行疗效评估。根据患者术后1年随访时的腰椎影像学复查结果,使用Bridwell椎间融合标准对患者手术节段融合情况进行评估。结果:观察组患者的术中出血量及术后引流量分别低于对照组(88.46±10.98mL vs 112.99±12.01mL、159.73±18.42mL vs 201.36±23.06mL,P<0.05),手术切口及住院时间分别短于对照组(1.54±0.36cm vs 5.43±1.01cm、6.79±1.22d vs 8.03±1.43d,P<0.05),手术时间长于对照组(162.33±19.57min vs 126.87±23.15min,P<0.05)。80例患者术后均获随访,随访时间15~40个月(19.0±6.3个月)。观察组患者术后1周、术后1个月的VAS评分分别为2.46±0.51分、1.21±0.38分,ODI分别为(17.84±4.15)%、(10.69±1.88)%,均低于对照组[VAS评分分别为3.68±0.62分、2.01±0.41分,ODI分别为(21.33±3.48)%、(12.33±2.17)%,均P<0.05],两组患者术后3个月、术后6个月的VAS评分比较无统计学差异(P>0.05)。观察组治疗优良率为92.11%,与对照组的85.71%比较无统计学意义(P=0.487)。两组患者融合分级比较,差异无统计学意义(Z=0.487,P=0.624)。观察组术后并发症发生率为5.26%,与对照组的9.52%比较无统计学差异(P=0.678)。结论:Delta大通道内镜辅助下后路椎管减压椎间植骨融合术治疗退变性腰椎疾病效果良好,可以减少术中出血量,缩短手术切口和住院时间,更快改善患者术后短期内疼痛、腰椎功能,安全性较好。
