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  1. Article: RF_phage virion: Classification of phage virion proteins with a random forest model.

    Zhang, Yanqin / Li, Zhiyuan

    Frontiers in genetics

    2023  Volume 13, Page(s) 1103783

    Abstract: Introduction: ...

    Abstract Introduction:
    Language English
    Publishing date 2023-02-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2022.1103783
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Corrigendum: RF_phage virion: classification of phage virion proteins with a random forest model.

    Zhang, Yanqin / Li, Zhiyuan

    Frontiers in genetics

    2023  Volume 14, Page(s) 1224665

    Abstract: This corrects the article DOI: 10.3389/fgene.2022.1103783.]. ...

    Abstract [This corrects the article DOI: 10.3389/fgene.2022.1103783.].
    Language English
    Publishing date 2023-06-14
    Publishing country Switzerland
    Document type Published Erratum
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2023.1224665
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Risk-Aware Distributionally Robust Optimization for Mobile Edge Computation Task Offloading in the Space-Air-Ground Integrated Network.

    Li, Zhiyuan / Chen, Pinrun

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 12

    Abstract: As an emerging network paradigm, the space-air-ground integrated network (SAGIN) has garnered attention from academia and industry. That is because SAGIN can implement seamless global coverage and connections among electronic devices in space, air, and ... ...

    Abstract As an emerging network paradigm, the space-air-ground integrated network (SAGIN) has garnered attention from academia and industry. That is because SAGIN can implement seamless global coverage and connections among electronic devices in space, air, and ground spaces. Additionally, the shortage of computing and storage resources in mobile devices greatly impacts the quality of experiences for intelligent applications. Hence, we plan to integrate SAGIN as an abundant resource pool into mobile edge computing environments (MECs). To facilitate efficient processing, we need to solve the optimal task offloading decisions. In contrast to existing MEC task offloading solutions, we have to face some new challenges, such as the fluctuation of processing capabilities for edge computing nodes, the uncertainty of transmission latency caused by heterogeneous network protocols, the uncertain amount of uploaded tasks during a period, and so on. In this paper, we first describe the task offloading decision problem in environments characterized by these new challenges. However, we cannot use standard robust optimization and stochastic optimization methods to obtain optimal results under uncertain network environments. In this paper, we propose the 'condition value at risk-aware distributionally robust optimization' algorithm for task offloading, denoted as RADROO, to solve the task offloading decision problem. RADROO combines the distributionally robust optimization and the condition value at risk model to achieve optimal results. We evaluated our approach in simulated SAGIN environments, considering confidence intervals, the number of mobile task offloading instances, and various parameters. We compare our proposed RADROO algorithm with state-of-the-art algorithms, such as the standard robust optimization algorithm, the stochastic optimization algorithm, the DRO algorithm, and the Brute algorithm. The experimental results show that RADROO can achieve a sub-optimal mobile task offloading decision. Overall, RADROO is more robust than others to the new challenges mentioned above in SAGIN.
    MeSH term(s) Air ; Industry ; Algorithms ; Awareness ; Computers, Handheld
    Language English
    Publishing date 2023-06-20
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23125729
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Sparse-view CT reconstruction based on group-based sparse representation using weighted guided image filtering.

    Xu, Rong / Liu, Yi / Li, Zhiyuan / Gui, Zhiguo

    Biomedizinische Technik. Biomedical engineering

    2024  

    Abstract: Objectives: In the past, guided image filtering (GIF)-based methods often utilized total variation (TV)-based methods to reconstruct guidance images. And they failed to reconstruct the intricate details of complex clinical images accurately. To address ... ...

    Abstract Objectives: In the past, guided image filtering (GIF)-based methods often utilized total variation (TV)-based methods to reconstruct guidance images. And they failed to reconstruct the intricate details of complex clinical images accurately. To address these problems, we propose a new sparse-view CT reconstruction method based on group-based sparse representation using weighted guided image filtering.
    Methods: In each iteration of the proposed algorithm, the result constrained by the group-based sparse representation (GSR) is used as the guidance image. Then, the weighted guided image filtering (WGIF) was used to transfer the important features from the guidance image to the reconstruction of the SART method.
    Results: Three representative slices were tested under 64 projection views, and the proposed method yielded the best visual effect. For the shoulder case, the PSNR can achieve 48.82, which is far superior to other methods.
    Conclusions: The experimental results demonstrate that our method is more effective in preserving structures, suppressing noise, and reducing artifacts compared to other methods.
    Language English
    Publishing date 2024-04-11
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 120817-2
    ISSN 1862-278X ; 0013-5585
    ISSN (online) 1862-278X
    ISSN 0013-5585
    DOI 10.1515/bmt-2023-0581
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ue I Zs.242: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: Prediction and Observation of Robust One-Way Bulk States in a Gyromagnetic Photonic Crystal.

    Chen, Jianfeng / Li, Zhi-Yuan

    Physical review letters

    2022  Volume 128, Issue 25, Page(s) 257401

    Abstract: We report a two-dimensional heterogeneous Haldane model composed of alternately stacking modified Haldane lattices with opposite next-nearest-neighbor hoppings, and predict the emergence of robust one-way bulk states by an ab initio theoretical ... ...

    Abstract We report a two-dimensional heterogeneous Haldane model composed of alternately stacking modified Haldane lattices with opposite next-nearest-neighbor hoppings, and predict the emergence of robust one-way bulk states by an ab initio theoretical calculation. These unique bulk states transport unidirectionally and are robust against backscattering from impurities in the strip bulk. By analogy with the heterogeneous Haldane model, we further confirm by numerical simulations and experimental measurements the existence of robust one-way bulk states in a two-dimensional microwave gyromagnetic photonic crystal, and demonstrate their robust one-way property over a long-distance even in the presence of metallic obstacles. Our study provides the strong support for the generalization and application of band theories to fermionic and bosonic systems, and paves a way for the implementation of high-throughput robust energy transmission materials and devices.
    Language English
    Publishing date 2022-07-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208853-8
    ISSN 1079-7114 ; 0031-9007
    ISSN (online) 1079-7114
    ISSN 0031-9007
    DOI 10.1103/PhysRevLett.128.257401
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 4' 58/153: Show issues

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  6. Article ; Online: Coupled dynamics of the North Equatorial Countercurrent and Intertropical Convergence Zone with relevance to the double-ITCZ problem.

    Li, Zhiyuan / Fedorov, Alexey V

    Proceedings of the National Academy of Sciences of the United States of America

    2022  Volume 119, Issue 31, Page(s) e2120309119

    Abstract: The Intertropical Convergence Zone (ITCZ) is a salient feature of tropical atmospheric circulation characterized by intense convective clouds and rainfall north of the equator. Climate models, however, commonly experience the double-ITCZ problem-the ... ...

    Abstract The Intertropical Convergence Zone (ITCZ) is a salient feature of tropical atmospheric circulation characterized by intense convective clouds and rainfall north of the equator. Climate models, however, commonly experience the double-ITCZ problem-the tendency to produce another strong precipitation band but south of the equator. Here, we describe coupled interaction between the ITCZ and the North Equatorial Countercurrent (NECC) that is relevant to this problem. This current is a major component of the tropical Pacific upper-ocean circulation, which flows against easterly trade winds and transports warm water from the western Pacific eastward. Its core follows the latitudinal position of the ITCZ. Trade winds converge toward the ITCZ, creating a local minimum in zonal winds and generating positive wind stress curl that maintains an eastward current despite westward winds. We show that interaction between the ITCZ and the NECC involves positive feedback: a stronger NECC advects warm water from the western Pacific to the colder east thus increasing sea surface temperature (SST) along its path, intensifying convection within the ITCZ and hence strengthening wind stress curl, further strengthening the NECC. To demonstrate this wind stress curl-advection-SST-precipitation (WASP) feedback, we conduct climate model experiments in which we progressively strengthen the surface Ekman component of the NECC and observe the intensification of the ITCZ and the entire NECC. Consequently, a weak NECC leads to a weak ITCZ, which can contribute to the double-ITCZ problem in climate models, since weak wind convergence north of the equator enables stronger convergence in the south.
    Language English
    Publishing date 2022-07-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2120309119
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1148: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: Decomposition iteration strategy for low-dose CT denoising.

    Li, Zhiyuan / Liu, Yi / Zhang, Pengcheng / Lu, Jing / Gui, Zhiguo

    Journal of X-ray science and technology

    2024  

    Abstract: In the medical field, computed tomography (CT) is a commonly used examination method, but the radiation generated increases the risk of illness in patients. Therefore, low-dose scanning schemes have attracted attention, in which noise reduction is ... ...

    Abstract In the medical field, computed tomography (CT) is a commonly used examination method, but the radiation generated increases the risk of illness in patients. Therefore, low-dose scanning schemes have attracted attention, in which noise reduction is essential. We propose a purposeful and interpretable decomposition iterative network (DISN) for low-dose CT denoising. This method aims to make the network design interpretable and improve the fidelity of details, rather than blindly designing or using deep CNN architecture. The experiment is trained and tested on multiple data sets. The results show that the DISN method can restore the low-dose CT image structure and improve the diagnostic performance when the image details are limited. Compared with other algorithms, DISN has better quantitative and visual performance, and has potential clinical application prospects.
    Language English
    Publishing date 2024-01-05
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2012019-9
    ISSN 1095-9114 ; 0895-3996
    ISSN (online) 1095-9114
    ISSN 0895-3996
    DOI 10.3233/XST-230272
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Joint learning-based feature reconstruction and enhanced network for incomplete multi-modal brain tumor segmentation.

    Diao, Yueqin / Li, Fan / Li, Zhiyuan

    Computers in biology and medicine

    2023  Volume 163, Page(s) 107234

    Abstract: Multimodal Magnetic Resonance Imaging (MRI) can provide valuable complementary information and substantially enhance the performance of brain tumor segmentation. However, it is common for certain modalities to be absent or missing during clinical ... ...

    Abstract Multimodal Magnetic Resonance Imaging (MRI) can provide valuable complementary information and substantially enhance the performance of brain tumor segmentation. However, it is common for certain modalities to be absent or missing during clinical diagnosis, which can significantly impair segmentation techniques that rely on complete modalities. Current advanced methods attempt to address this challenge by developing shared feature representations via modal fusion to handle different missing modality situations. Considering the importance of missing modality information in multimodal segmentation, this paper utilize a feature reconstruction method to recover the missing information, and proposes a joint learning-based feature reconstruction and enhancement method for incomplete modality brain tumor segmentation. The method leverages an information learning mechanism to transfer information from the complete modality to a single modality, enabling it to obtain complete brain tumor information, even without the support of other modalities. Additionally, the method incorporates a module for reconstructing missing modality features, which recovers fused features of the absent modality through utilizing the abundant potential information obtained from the available modalities. Furthermore, the feature enhancement mechanism improves shared feature representation by utilizing the information obtained from the missing modalities that have been reconstructed. These processes enable the method to obtain more comprehensive information regarding brain tumors in various missing modality circumstances, thereby enhancing the model's robustness. The performance of the proposed model was evaluated on BraTS datasets and compared with other deep learning algorithms using Dice similarity scores. On the BraTS2018 dataset, the proposed algorithm achieved a Dice similarity score of 86.28%, 77.02%, and 59.64% for whole tumors, tumor cores, and enhanced tumors, respectively. These results demonstrate the superiority of our framework over state-of-the-art methods in missing modalities situations.
    MeSH term(s) Humans ; Image Processing, Computer-Assisted/methods ; Brain Neoplasms/diagnostic imaging ; Multimodal Imaging/methods ; Magnetic Resonance Imaging/methods ; Algorithms
    Language English
    Publishing date 2023-07-04
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2023.107234
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 653: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  9. Article: Prolonging Campaign Life of Blast Furnace Trough by Water Cooling.

    Li, Zhiyuan / Wang, Haifei / Ding, Fengshou / Tang, Huiqing

    Materials (Basel, Switzerland)

    2023  Volume 16, Issue 3

    Abstract: A long campaign life of the trough of the blast furnace (BF) is important for improving the BF operation efficiency, reducing the cost of blast furnace ironmaking, and bettering the working conditions of the casting yard. In this paper, a water cooling ... ...

    Abstract A long campaign life of the trough of the blast furnace (BF) is important for improving the BF operation efficiency, reducing the cost of blast furnace ironmaking, and bettering the working conditions of the casting yard. In this paper, a water cooling device was designed for the trough of a BF with a volume of 630 m
    Language English
    Publishing date 2023-01-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma16030891
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Tunable topological slow-light in gyromagnetic photonic crystal waveguides with unified magnetic field.

    Li, Xiaobin / Li, Zhi-Yuan / Liang, Wenyao

    Optics express

    2023  Volume 31, Issue 18, Page(s) 29300–29311

    Abstract: We have proposed a tunable topological slow-light in a photonic crystal (PC) waveguide with unified magnetic field. The waveguide is constructed by bringing close two gyromagnetic photonic crystals (GPCs) with different structural parameters and ... ...

    Abstract We have proposed a tunable topological slow-light in a photonic crystal (PC) waveguide with unified magnetic field. The waveguide is constructed by bringing close two gyromagnetic photonic crystals (GPCs) with different structural parameters and introducing a row of Al
    Language English
    Publishing date 2023-09-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.495803
    Database MEDical Literature Analysis and Retrieval System OnLINE

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