Large-scale structure(LSS)surveys will increasingly provide stringent constraints on our cosmological models.Recently,the density-marked correlation function(MCF)has been introduced,offering an easily computable densi...Large-scale structure(LSS)surveys will increasingly provide stringent constraints on our cosmological models.Recently,the density-marked correlation function(MCF)has been introduced,offering an easily computable density-correlation statistic.Simulations have demonstrated that MCFs offer additional,independent constraints on cosmological models beyond the standard two-point correlation(2PCF).In this study,we apply MCFs for the first time to SDSS CMASS data,aiming to investigate the statistical information regarding clustering and anisotropy properties in the Universe and assess the performance of various weighting schemes in MCFs,and finally obtain constraints onΩ_(m).Upon analyzing the CMASS data,we observe that,by combining different weights(α=[-0.2,0,0.2,0.6]),the MCFs provide a tight and independent constraint on the cosmological parameterΩ_(m),yieldingΩ_(m)=0.293±0.006 at the 1σlevel,which represents a significant reduction in the statistical error by a factor of 3.4 compared to that from 2PCF.Our constraint is consistent with recent findings from the small-scale clustering of BOSS galaxies(Zhai et al.Astronphys.J.948,99(2023))within the 1σlevel.However,we also find that our estimate is lower than the Planck measurements by about 2.6σ,indicating the potential presence of new physics beyond the standard cosmological model if all the systematics are fully corrected.The method outlined in this study can be extended to other surveys and datasets,allowing for the constraint of other cosmological parameters.Additionally,it serves as a valuable tool for forthcoming emulator analysis on the Chinese Space Station Telescope(CSST).展开更多
This article focuses on the discussion of Chinese topics and English marked theme. It will be divided into four parts. Part I is introduction part. It introduces the concepts of Chinese topic and English marked theme....This article focuses on the discussion of Chinese topics and English marked theme. It will be divided into four parts. Part I is introduction part. It introduces the concepts of Chinese topic and English marked theme. Part II tells different types of Chinese topics and English marked themes. Part III discusses the functions of Chinese topics and English themes. Part IV is the conclusion part.展开更多
Motor function changes in the unaffected hand of stroke patients with hemiplegia. These changes are often ignored by clinicians owing to the extent of motor disability of the affected hand. Finger tapping frequency an...Motor function changes in the unaffected hand of stroke patients with hemiplegia. These changes are often ignored by clinicians owing to the extent of motor disability of the affected hand. Finger tapping frequency and Lind-mark hand function score showed that the motor function of unaffected hands in stroke patients was poorer than that of a healthy control hand. After 2 weeks of rehabilitation treatment, motor function of the unaffected hand of stroke patients was obviously improved. Therefore, attention should also be paid to motor function in the unaffected hand of stroke patients with hemiplegia during rehabilitation.展开更多
Literature was viewed as a form of cultural production that should be a vehicle for a different practice of representation, a representation of “art” works, through its aesthetic function to enlighten its audience r...Literature was viewed as a form of cultural production that should be a vehicle for a different practice of representation, a representation of “art” works, through its aesthetic function to enlighten its audience rather than keep them in awe of power as the rhetorics of politics and ideology so often do.展开更多
为解决密集人群场景下口罩佩戴检测出现的关联特征信息利用率不足导致边界框定位不精准的问题,提出一种基于多尺度通道注意力机制的YOLO-Mask改进算法。利用通道注意力机制重构YOLOv3特征提取网络,促使网络对关联目标区域具有更高的关注...为解决密集人群场景下口罩佩戴检测出现的关联特征信息利用率不足导致边界框定位不精准的问题,提出一种基于多尺度通道注意力机制的YOLO-Mask改进算法。利用通道注意力机制重构YOLOv3特征提取网络,促使网络对关联目标区域具有更高的关注度;采用K-means++聚类算法对数据集进行聚类优化,提高检测准确率;对损失函数进行优化。在PASCAL VOC和RFMD(real-world masked face dataset)数据集上的实验结果表明,YOLO-Mask算法与其它算法相比,具有更好的检测效果,平均精度分别为81.3%、85.3%,相比原始YOLOv3算法分别提高了3.0%和3.8%。展开更多
基金supported by the Ministry of Science and Technology of China(Grant Nos.2020SKA0110401,2020SKA0110402,and 2020SKA0110100)the National Key Research and Development Program of China(Grant Nos.2018YFA0404504,and 2018YFA0404601)+5 种基金the National Natural Science Foundation of China(Grant Nos.11890691,12205388,12220101003,12122301,12233001,and 12073088)the China Manned Space Project(Grant No.CMS-CSST-2021(A02,A03,A04,B01))the Major Key Project of PCLthe 111 project(Grant No.B20019)the Shanghai Natural Science Research Grant(Grant No.21ZR1430600)sponsorship from Yangyang Development Fund。
文摘Large-scale structure(LSS)surveys will increasingly provide stringent constraints on our cosmological models.Recently,the density-marked correlation function(MCF)has been introduced,offering an easily computable density-correlation statistic.Simulations have demonstrated that MCFs offer additional,independent constraints on cosmological models beyond the standard two-point correlation(2PCF).In this study,we apply MCFs for the first time to SDSS CMASS data,aiming to investigate the statistical information regarding clustering and anisotropy properties in the Universe and assess the performance of various weighting schemes in MCFs,and finally obtain constraints onΩ_(m).Upon analyzing the CMASS data,we observe that,by combining different weights(α=[-0.2,0,0.2,0.6]),the MCFs provide a tight and independent constraint on the cosmological parameterΩ_(m),yieldingΩ_(m)=0.293±0.006 at the 1σlevel,which represents a significant reduction in the statistical error by a factor of 3.4 compared to that from 2PCF.Our constraint is consistent with recent findings from the small-scale clustering of BOSS galaxies(Zhai et al.Astronphys.J.948,99(2023))within the 1σlevel.However,we also find that our estimate is lower than the Planck measurements by about 2.6σ,indicating the potential presence of new physics beyond the standard cosmological model if all the systematics are fully corrected.The method outlined in this study can be extended to other surveys and datasets,allowing for the constraint of other cosmological parameters.Additionally,it serves as a valuable tool for forthcoming emulator analysis on the Chinese Space Station Telescope(CSST).
文摘This article focuses on the discussion of Chinese topics and English marked theme. It will be divided into four parts. Part I is introduction part. It introduces the concepts of Chinese topic and English marked theme. Part II tells different types of Chinese topics and English marked themes. Part III discusses the functions of Chinese topics and English themes. Part IV is the conclusion part.
文摘Motor function changes in the unaffected hand of stroke patients with hemiplegia. These changes are often ignored by clinicians owing to the extent of motor disability of the affected hand. Finger tapping frequency and Lind-mark hand function score showed that the motor function of unaffected hands in stroke patients was poorer than that of a healthy control hand. After 2 weeks of rehabilitation treatment, motor function of the unaffected hand of stroke patients was obviously improved. Therefore, attention should also be paid to motor function in the unaffected hand of stroke patients with hemiplegia during rehabilitation.
文摘Literature was viewed as a form of cultural production that should be a vehicle for a different practice of representation, a representation of “art” works, through its aesthetic function to enlighten its audience rather than keep them in awe of power as the rhetorics of politics and ideology so often do.
文摘为解决密集人群场景下口罩佩戴检测出现的关联特征信息利用率不足导致边界框定位不精准的问题,提出一种基于多尺度通道注意力机制的YOLO-Mask改进算法。利用通道注意力机制重构YOLOv3特征提取网络,促使网络对关联目标区域具有更高的关注度;采用K-means++聚类算法对数据集进行聚类优化,提高检测准确率;对损失函数进行优化。在PASCAL VOC和RFMD(real-world masked face dataset)数据集上的实验结果表明,YOLO-Mask算法与其它算法相比,具有更好的检测效果,平均精度分别为81.3%、85.3%,相比原始YOLOv3算法分别提高了3.0%和3.8%。
