1,260 research outputs found

    完善学科平台 促进互动发展*

    Get PDF
    Through the questionnaire survey of Marxism’s course construction and Ideological and Political Theory Course in 45 universities, the paper tries to discuss how to enhance the effectiveness of ideological and political theory course by platform of Marxism’s course construction. Research shows that it can enhance the effectiveness of Ideological and Political Theory Course as long as we make full use of platform construction of Marxism’s course, fully display the Marxism’s spirit with the times and the latest achievements in Ideological and political theory course, and Strengthen academic ideological and Political Theory Education. We believe that it can better cultivate socialist builders to achieve the Chinese dream by playing the educational function of Ideological and Political Theory Course.通过对45所高校马克思主义学科建设与思想政治理论课现状的问卷调查,试图探讨以良好的马克思主义学科建设平台来增强思想政治理论课的有效性。研究表明只要善用学科建设平台,加强学科建设,在思想政治理论课中充分显现马克思主义的时代精神和最新成果,增强思想政治理论教育的政治学术性,就能增强思想政治理论课的有效性,发挥思想政治理论课的政治教育功能,更好地培育出实现中国梦的社会主义建设者

    Background Subtraction with Real-time Semantic Segmentation

    Full text link
    Accurate and fast foreground object extraction is very important for object tracking and recognition in video surveillance. Although many background subtraction (BGS) methods have been proposed in the recent past, it is still regarded as a tough problem due to the variety of challenging situations that occur in real-world scenarios. In this paper, we explore this problem from a new perspective and propose a novel background subtraction framework with real-time semantic segmentation (RTSS). Our proposed framework consists of two components, a traditional BGS segmenter B\mathcal{B} and a real-time semantic segmenter S\mathcal{S}. The BGS segmenter B\mathcal{B} aims to construct background models and segments foreground objects. The real-time semantic segmenter S\mathcal{S} is used to refine the foreground segmentation outputs as feedbacks for improving the model updating accuracy. B\mathcal{B} and S\mathcal{S} work in parallel on two threads. For each input frame ItI_t, the BGS segmenter B\mathcal{B} computes a preliminary foreground/background (FG/BG) mask BtB_t. At the same time, the real-time semantic segmenter S\mathcal{S} extracts the object-level semantics St{S}_t. Then, some specific rules are applied on Bt{B}_t and St{S}_t to generate the final detection Dt{D}_t. Finally, the refined FG/BG mask Dt{D}_t is fed back to update the background model. Comprehensive experiments evaluated on the CDnet 2014 dataset demonstrate that our proposed method achieves state-of-the-art performance among all unsupervised background subtraction methods while operating at real-time, and even performs better than some deep learning based supervised algorithms. In addition, our proposed framework is very flexible and has the potential for generalization

    MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild

    Full text link
    Detecting small scene text instances in the wild is particularly challenging, where the influence of irregular positions and nonideal lighting often leads to detection errors. We present MixNet, a hybrid architecture that combines the strengths of CNNs and Transformers, capable of accurately detecting small text from challenging natural scenes, regardless of the orientations, styles, and lighting conditions. MixNet incorporates two key modules: (1) the Feature Shuffle Network (FSNet) to serve as the backbone and (2) the Central Transformer Block (CTBlock) to exploit the 1D manifold constraint of the scene text. We first introduce a novel feature shuffling strategy in FSNet to facilitate the exchange of features across multiple scales, generating high-resolution features superior to popular ResNet and HRNet. The FSNet backbone has achieved significant improvements over many existing text detection methods, including PAN, DB, and FAST. Then we design a complementary CTBlock to leverage center line based features similar to the medial axis of text regions and show that it can outperform contour-based approaches in challenging cases when small scene texts appear closely. Extensive experimental results show that MixNet, which mixes FSNet with CTBlock, achieves state-of-the-art results on multiple scene text detection datasets

    Retinal nerve fiber layer thickness measured by optical coherence tomography in Chinese teenagers aged from 13 years old to 18 years old

    Get PDF
    AIM: To establish a reference range of retinal nerve fiber layer(RNFL)thickness by optical coherence tomography(OCT)in Chinese teenagers aged from 13 to 18 years old, and investigate its relationship with age, eye side, gender, and ethnic group.<p>METHODS: A total of 402 eyes from 201 normal Chinese aged from 13 to 18 years old were recruited for this study. Optic disk with 3.4mm diameter circle in different global average, quadrant and part-time bit retinal nerve fiber layer thickness(RNFLT)was measured by RNFL thickness average analysis program. Their RNFLT at different part-time bit, quadrant and global average RNFLT around the disc were measured by OCT with 3.4mm diameter circle, using the RNFL thickness average analysis program. The data was analyzed with SPSS statistical 19.0. The influences of several factors(such as age, eye side, gender, and ethnic group)on RNFLT were also analyzed.<p>RESULTS: The global average RNFLT at 13, 14, 15, 16, 17, 18 years old was 108.32±9.42μm, 109.23±9.67μm, 110.36±11.14μm, 111.27±10.21μm, 109.23±9.67μm, 112.11±8.83μm respectively. RNFLT of right eyes was 109.82±8.93μm and of left eyes was 110.33±9.89μm. All of the male's average RNFLT was 110.14±10.02μm, and all of the female's average RNFLT was 109.96±11.22μm. The average RNFLT of Han nationality was 110.22±9.31μm and of non-Han nationality was 109.87±8.65μm. The average RNFLT of all was 110.02±9.87μm, the RNFLT at the superior, nasal, inferior and temporal quadrant was 146.56 ±18.88μm, 76.49±13.28μm, 136.64±16.29μm, 82.01±12.55μm respectively. There was no significant difference in gender, eye side, and ethnic group(all <i>P</i><0.05), but the difference was significant compared with adult's data of the database. <p>CONCLUSION: This study has established a normal standard reference of RNFLT and its related indexes by OCT in Chinese teenagers aged 13-18 years old. Gender, age, eye side, and ethnic group have no effect on their RNFLT, which has significant difference with adult's data. And for the diagnosis and follow-up of diseases involving in RNFL changes, the adult's data can not be used

    Revisiting the Association of Blood Pressure with Mortality in Oldest Old People in China: Community Based, Longitudinal Prospective Study

    Get PDF
    Objective To examine the associations of blood pressure with all cause mortality and cause specific mortality at three years among oldest old people in China. Design Community based, longitudinal prospective study. Setting 2011 and 2014 waves of the Chinese Longitudinal Healthy Longevity Survey, conducted in 22 Chinese provinces. Participants 4658 oldest old individuals (mean age 92.1 years). Main outcome measures All cause mortality and cause specific mortality assessed at three year follow-up. Results 1997 deaths were recorded at three year follow-up. U shaped associations of mortality with systolic blood pressure, mean arterial pressure, and pulse pressure were identified; values of 143.5 mm Hg, 101 mm Hg, and 66 mm Hg conferred the minimum mortality risk, respectively. After adjustment for covariates, the U shaped association remained only for systolic blood pressure (minimum mortality risk at 129 mm Hg). Compared with a systolic blood pressure value of 129 mm Hg, risk of all cause mortality decreased for values lower than 107 mm Hg (from 1.47 (95% confidence interval 1.01 to 2.17) to 1.08 (1.01 to 1.17)), and increased for values greater than 154 mm Hg (from 1.08 (1.01 to 1.17) to 1.27 (1.02 to 1.58)). In the cause specific analysis, compared with a middle range of systolic blood pressure (107-154 mm Hg), higher values (\u3e154 mm Hg) were associated with a higher risk of cardiovascular mortality (adjusted hazard ratio 1.51 (95% confidence interval 1.12 to 2.02)); lower values (Hg) were associated with a higher risk of non-cardiovascular mortality (1.58 (1.26 to 1.98)). The U shaped associations remained in sensitivity and subgroup analyses. Conclusions This study indicates a U shaped association between systolic blood pressure and all cause mortality at three years among oldest old people in China. This association could be explained by the finding that higher systolic blood pressure predicted a higher risk of death from cardiovascular disease, and that lower systolic blood pressure predicted a higher risk of death from non-cardiovascular causes. These results emphasise the importance of revisiting blood pressure management or establishing specific guidelines for management among oldest old individuals

    A data analysis method for isochronous mass spectrometry using two time-of-flight detectors at CSRe

    Full text link
    The concept of isochronous mass spectrometry (IMS) applying two time-of-flight (TOF) detectors originated many years ago at GSI. However, the corresponding method for data analysis has never been discussed in detail. Recently, two TOF detectors have been installed at CSRe and the new working mode of the ring is under test. In this paper, a data analysis method for this mode is introduced and tested with a series of simulations. The results show that the new IMS method can significantly improve mass resolving power via the additional velocity information of stored ions. This improvement is especially important for nuclides with Lorentz factor γ\gamma-value far away from the transition point γt\gamma _t of the storage ring CSRe.Comment: published in Chinese Physics C Vol. 39, No. 10 (2015) 10620
    corecore