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  1. Article: [A prospective cohort study to explore retention rate and behavior change among medium-to-low-tier female sex workers in Yuanzhou district, Yichun city].

    Zhou, C / Dong, W / Lu, D D / Zhong, F J / Jiang, T F / Cheng, H / Wu, Z Y / Rou, K M

    Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine

    2018  Volume 52, Issue 12, Page(s) 1295–1297

    Language Chinese
    Publishing date 2018-12-03
    Publishing country China
    Document type Journal Article
    ZDB-ID 604575-3
    ISSN 0253-9624
    ISSN 0253-9624
    DOI 10.3760/cma.j.issn.0253-9624.2018.12.021
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 2487: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
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  2. Article ; Online: The potential of

    Jiang, Shengpan / Gao, Xiaoqing / Tian, Yueli / Chen, Jie / Wang, Yichun / Jiang, Yaqun / He, Yong

    Abdominal radiology (New York)

    2024  

    Abstract: Purpose: Microvascular invasion (MVI) is a critical factor in predicting the recurrence and prognosis of hepatocellular carcinoma (HCC) after liver transplantation (LT). However, there is a lack of reliable preoperative predictors for MVI. The purpose ... ...

    Abstract Purpose: Microvascular invasion (MVI) is a critical factor in predicting the recurrence and prognosis of hepatocellular carcinoma (HCC) after liver transplantation (LT). However, there is a lack of reliable preoperative predictors for MVI. The purpose of this study is to evaluate the potential of an
    Methods: 83 HCC patients who obtained
    Results: Among the 83 patients analyzed, 41% were diagnosed with histologic MVI. Multivariate logistic regression analysis revealed that Child-Pugh stage, alpha-fetoprotein, number of tumors, CT Dmax, and Tumor-to-normal liver uptake ratio (TLR) were significant predictors of MVI. A nomogram was constructed using these predictors, which demonstrated strong calibration with a close agreement between predicted and actual MVI probabilities. The nomogram also showed excellent differentiation with an AUC of 0.965 (95% CI 0.925-1.000).
    Conclusion: The nomogram based on
    Language English
    Publishing date 2024-01-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2839786-1
    ISSN 2366-0058 ; 2366-004X
    ISSN (online) 2366-0058
    ISSN 2366-004X
    DOI 10.1007/s00261-023-04166-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1262: Show issues Location:
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  3. Article ; Online: Improved Thermal Infrared Image Super-Resolution Reconstruction Method Base on Multimodal Sensor Fusion

    Yichun Jiang / Yunqing Liu / Weida Zhan / Depeng Zhu

    Entropy, Vol 25, Iss 914, p

    2023  Volume 914

    Abstract: When traditional super-resolution reconstruction methods are applied to infrared thermal images, they often ignore the problem of poor image quality caused by the imaging mechanism, which makes it difficult to obtain high-quality reconstruction results ... ...

    Abstract When traditional super-resolution reconstruction methods are applied to infrared thermal images, they often ignore the problem of poor image quality caused by the imaging mechanism, which makes it difficult to obtain high-quality reconstruction results even with the training of simulated degraded inverse processes. To address these issues, we proposed a thermal infrared image super-resolution reconstruction method based on multimodal sensor fusion, aiming to enhance the resolution of thermal infrared images and rely on multimodal sensor information to reconstruct high-frequency details in the images, thereby overcoming the limitations of imaging mechanisms. First, we designed a novel super-resolution reconstruction network, which consisted of primary feature encoding, super-resolution reconstruction, and high-frequency detail fusion subnetwork, to enhance the resolution of thermal infrared images and rely on multimodal sensor information to reconstruct high-frequency details in the images, thereby overcoming limitations of imaging mechanisms. We designed hierarchical dilated distillation modules and a cross-attention transformation module to extract and transmit image features, enhancing the network’s ability to express complex patterns. Then, we proposed a hybrid loss function to guide the network in extracting salient features from thermal infrared images and reference images while maintaining accurate thermal information. Finally, we proposed a learning strategy to ensure the high-quality super-resolution reconstruction performance of the network, even in the absence of reference images. Extensive experimental results show that the proposed method exhibits superior reconstruction image quality compared to other contrastive methods, demonstrating its effectiveness.
    Keywords thermal infrared imaging ; super-resolution reconstruction ; multimodal sensors ; information fusion ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
    Subject code 004 ; 006
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Regulation of quorum sensing activities by the stringent response gene

    Xiao, Yue / Chen, Xin / Lu, Hang / Jiang, Tingting / Wang, Yichun / Liang, Luyi / Dobretsov, Sergey / Huang, Yili

    Frontiers in microbiology

    2024  Volume 15, Page(s) 1368499

    Abstract: Stringent response and quorum sensing (QS) are two essential mechanisms that control bacterial global metabolism for better survival. Sphingomonads are a clade of bacteria that survive successfully in diverse ecosystems. ...

    Abstract Stringent response and quorum sensing (QS) are two essential mechanisms that control bacterial global metabolism for better survival. Sphingomonads are a clade of bacteria that survive successfully in diverse ecosystems.
    Language English
    Publishing date 2024-04-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2024.1368499
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Improved Thermal Infrared Image Super-Resolution Reconstruction Method Base on Multimodal Sensor Fusion.

    Jiang, Yichun / Liu, Yunqing / Zhan, Weida / Zhu, Depeng

    Entropy (Basel, Switzerland)

    2023  Volume 25, Issue 6

    Abstract: When traditional super-resolution reconstruction methods are applied to infrared thermal images, they often ignore the problem of poor image quality caused by the imaging mechanism, which makes it difficult to obtain high-quality reconstruction results ... ...

    Abstract When traditional super-resolution reconstruction methods are applied to infrared thermal images, they often ignore the problem of poor image quality caused by the imaging mechanism, which makes it difficult to obtain high-quality reconstruction results even with the training of simulated degraded inverse processes. To address these issues, we proposed a thermal infrared image super-resolution reconstruction method based on multimodal sensor fusion, aiming to enhance the resolution of thermal infrared images and rely on multimodal sensor information to reconstruct high-frequency details in the images, thereby overcoming the limitations of imaging mechanisms. First, we designed a novel super-resolution reconstruction network, which consisted of primary feature encoding, super-resolution reconstruction, and high-frequency detail fusion subnetwork, to enhance the resolution of thermal infrared images and rely on multimodal sensor information to reconstruct high-frequency details in the images, thereby overcoming limitations of imaging mechanisms. We designed hierarchical dilated distillation modules and a cross-attention transformation module to extract and transmit image features, enhancing the network's ability to express complex patterns. Then, we proposed a hybrid loss function to guide the network in extracting salient features from thermal infrared images and reference images while maintaining accurate thermal information. Finally, we proposed a learning strategy to ensure the high-quality super-resolution reconstruction performance of the network, even in the absence of reference images. Extensive experimental results show that the proposed method exhibits superior reconstruction image quality compared to other contrastive methods, demonstrating its effectiveness.
    Language English
    Publishing date 2023-06-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e25060914
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Ultra-Bend-Resistant 4-Core Simplex Cable Used for Short-Reach Dense Spatial Division Multiplexing Optical Transmission.

    Zhang, Zelin / Qin, Yu / Zhu, Jie / Wang, Caoyuan / Jiang, Xinli / Shen, Yichun / Xiao, Limin

    Micromachines

    2024  Volume 15, Issue 1

    Abstract: We optimized and fabricated an ultra-bend-resistant 4-core simplex cable (SXC) employing 4-core multicore fiber (MCF) suitable for short-reach dense spatial division multiplexing (DSDM) optical transmission in the O-band. The characteristics of ... ...

    Abstract We optimized and fabricated an ultra-bend-resistant 4-core simplex cable (SXC) employing 4-core multicore fiber (MCF) suitable for short-reach dense spatial division multiplexing (DSDM) optical transmission in the O-band. The characteristics of transmission loss, macro-bending and cross-talk (XT) between adjacent cores after cabling were firstly clarified. By introducing the trapezoid index and optimizing the cabling process, the maximum values of added XT of 1.17 dB/km due to 10 loops with a bending radius of 6 mm imposed over the 4-core SXC and a macro-bending loss of 0.37 dB/10 turns were, respectively, achieved.P Then, the optical transmission with low bit error rate (BER) was presented using a 100GBASE-LR4 transceiver over the 1.2 km long 4-core SXC. The excellent bending resistance of the 4-core SXC may pave the way for a reduction in space pressure and increase in access density on short-reach optical interconnect (OI) based on DSDM.
    Language English
    Publishing date 2024-01-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2620864-7
    ISSN 2072-666X
    ISSN 2072-666X
    DOI 10.3390/mi15010108
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Urban Sustainability

    Yichun Xie / Chao Liu / Shujuan Chang / Bin Jiang

    Sustainability, Vol 14, Iss 9142, p

    Integrating Socioeconomic and Environmental Data for Multi-Objective Assessment

    2022  Volume 9142

    Abstract: The large concentration of the world’s population in cities, along with rapid urbanization, have brought numerous environmental and socioeconomic challenges to sustainable urban systems (SUS). However, current SUS studies focus heavily on ecological ... ...

    Abstract The large concentration of the world’s population in cities, along with rapid urbanization, have brought numerous environmental and socioeconomic challenges to sustainable urban systems (SUS). However, current SUS studies focus heavily on ecological aspects, rely on SUS indicators that are not supported by available data, lack comprehensive analytical frameworks, and neglect SUS regional differences. This paper develops a novel approach to assessing urban sustainability from regional perspectives using commonly enumerated socioeconomic statistics. It integrates land use and land cover change data and ecosystem service values, applies data mining analytics to derive SUS indicators, and evaluates SUS states as trade-offs among relevant SUS indicators. This synthetic approach is called the integrated socioeconomic and land-use data mining–based multi-objective assessment (ISL-DM-MOA). The paper presents a case study of urban sustainability development in cities and counties in Inner Mongolia, China, which face many environmental and sustainable development problems. The case study identifies two SUS types: (1) several large cities that boast well-developed economies, diversified industrial sectors, vital transportation locations, good living conditions, and cleaner environments; and (2) a few small counties that have a small population, small urban construction areas, extensive natural grasslands, and primary grazing economies. The ISL-DM-MOA framework innovatively synthesizes currently available socioeconomic statistics and environmental data as a unified dataset to assess urban sustainability as a total socio-environmental system. ISL-DM-MOA deviates from the current indicator approach and advocates the notion of a data-mining-driven approach to derive urban sustainability dimensions. Furthermore, ISL-DM-MOA diverges from the concept of a composite score for determining urban sustainability. Instead, it promotes the concept of Pareto Front as a choice set of sustainability candidates, because sustainability ...
    Keywords sustainable urban system ; urban sustainability indicators ; ecosystem service values ; land use and land cover changes ; multi-objective optimization problems ; total socio-environmental system ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 333 ; 710
    Language English
    Publishing date 2022-07-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: A high responsivity, high detectivity, and high response speed MSM UVB photodetector based on SnO

    Fu, Rongpeng / Jiang, Xue / Wang, Yuefei / Xia, Danyang / Li, Bingsheng / Ma, Jiangang / Xu, Haiyang / Shen, Aidong / Liu, Yichun

    Nanoscale

    2023  Volume 15, Issue 16, Page(s) 7460–7465

    Abstract: We report a high performance UVB photodetector with a metal-semiconductor-metal device structure based on high crystal quality ... ...

    Abstract We report a high performance UVB photodetector with a metal-semiconductor-metal device structure based on high crystal quality SnO
    Language English
    Publishing date 2023-04-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2515664-0
    ISSN 2040-3372 ; 2040-3364
    ISSN (online) 2040-3372
    ISSN 2040-3364
    DOI 10.1039/d3nr00419h
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Suppressing mortality and curbing cellular damage by targeting VHL.

    Jiang, Wei I / Cao, Yiming / Xue, Yue / Ji, Yichun / Winer, Benjamin Y / Zhang, Mengqi / Singhal, Neel S / Pierce, Jonathan T / Chen, Song / Ma, Dengke K

    bioRxiv : the preprint server for biology

    2024  

    Abstract: Mortality rate increases with age and can accelerate upon extrinsic or intrinsic damage to individuals. Identifying factors and mechanisms that curb population mortality rate has wide-ranging implications. Here, we show that targeting the VHL-1 (Von ... ...

    Abstract Mortality rate increases with age and can accelerate upon extrinsic or intrinsic damage to individuals. Identifying factors and mechanisms that curb population mortality rate has wide-ranging implications. Here, we show that targeting the VHL-1 (Von Hippel-Lindau) protein suppresses
    Language English
    Publishing date 2024-03-03
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.02.28.582664
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: A feature refinement and adaptive generative adversarial network for thermal infrared image colorization.

    Chen, Yu / Zhan, Weida / Jiang, Yichun / Zhu, Depeng / Xu, Xiaoyu / Hao, Ziqiang / Li, Jin / Guo, Jinxin

    Neural networks : the official journal of the International Neural Network Society

    2024  Volume 173, Page(s) 106184

    Abstract: Colorizing thermal infrared images poses a significant challenge as current methods struggle with issues such as unrealistic color saturation and limited texture. To address these challenges, we propose the Feature Refinement and Adaptive Generative ... ...

    Abstract Colorizing thermal infrared images poses a significant challenge as current methods struggle with issues such as unrealistic color saturation and limited texture. To address these challenges, we propose the Feature Refinement and Adaptive Generative Adversarial Network (FRAGAN). Our approach enhances the detailed, semantic, and contextual capabilities of image coloring by combining multi-level interactions that integrate the lost detailed information from the encoding stage with the semantic information from the decoding stage. Additionally, we introduce the Residual Feature Refinement Module (RFRM) to improve both the accuracy and generalization ability of the model, thereby elevating the quality of colorization results. The Feature Adaptation Module (FAM) is employed to mitigate sub-region information loss during downsampling. Furthermore, we introduce the Trinity Attention Module (TAM) to accurately capture the spatial and channel-wise interaction features of local semantic information. Extensive experimentation on the KAIST dataset and the FLIR dataset demonstrates the superiority of our proposed FRAGAN methodology, surpassing both the performance metrics and visual quality of current state-of-the-art methods. The colorized images generated by our proposed FRAGAN exhibit enhanced clarity and realism. Our code and models are available at GitHub.
    MeSH term(s) Benchmarking ; Empirical Research ; Generalization, Psychological ; Semantics ; Image Processing, Computer-Assisted
    Language English
    Publishing date 2024-02-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 740542-x
    ISSN 1879-2782 ; 0893-6080
    ISSN (online) 1879-2782
    ISSN 0893-6080
    DOI 10.1016/j.neunet.2024.106184
    Database MEDical Literature Analysis and Retrieval System OnLINE

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