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  1. Artikel ; Online: Reprogrammable Magnetic Soft Actuators with Microfluidic Functional Modules via Pixel-Assembly.

    Zhao, Xiaoyu / Yao, Hongyi / Lv, Yaoyi / Chen, Zhixian / Dong, Lina / Huang, Jiajun / Mi, Shengli

    Small (Weinheim an der Bergstrasse, Germany)

    2024  , Seite(n) e2310009

    Abstract: Magnetic soft actuators and robots have attracted considerable attention in biomedical applications due to their speedy response, programmability, and biocompatibility. Despite recent advancements, the fabrication process of magnetic actuators and the ... ...

    Abstract Magnetic soft actuators and robots have attracted considerable attention in biomedical applications due to their speedy response, programmability, and biocompatibility. Despite recent advancements, the fabrication process of magnetic actuators and the reprogramming approach of their magnetization profiles continue to pose challenges. Here, a facile fabrication strategy is reported based on arrangements and distributions of reusable magnetic pixels on silicone substrates, allowing for various magnetic actuators with customizable architectures, arbitrary magnetization profiles, and integration of microfluidic technology. This approach enables intricate configurations with decent deformability and programmability, as well as biomimetic movements involving grasping, swimming, and wriggling in response to magnetic actuation. Moreover, microfluidic functional modules are integrated for various purposes, such as on/off valve control, curvature adjustment, fluid mixing, dynamic microfluidic architecture, and liquid delivery robot. The proposed method fulfills the requirements of low-cost, rapid, and simplified preparation of magnetic actuators, since it eliminates the need to sustain pre-defined deformations during the magnetization process or to employ laser heating or other stimulation for reprogramming the magnetization profile. Consequently, it is envisioned that magnetic actuators fabricated via pixel-assembly will have broad prospects in microfluidics and biomedical applications.
    Sprache Englisch
    Erscheinungsdatum 2024-01-31
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ZDB-ID 2168935-0
    ISSN 1613-6829 ; 1613-6810
    ISSN (online) 1613-6829
    ISSN 1613-6810
    DOI 10.1002/smll.202310009
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Intelligent prediction of Alzheimer's disease via improved multifeature squeeze-and-excitation-dilated residual network.

    Yuan, Zengbei / Li, Xinlin / Hao, Zezhou / Tang, Zhixian / Yao, Xufeng / Wu, Tao

    Scientific reports

    2024  Band 14, Heft 1, Seite(n) 11994

    Abstract: This study aimed to address the issue of larger prediction errors existing in intelligent predictive tasks related to Alzheimer's disease (AD). A cohort of 487 enrolled participants was categorized into three groups: normal control (138 individuals), ... ...

    Abstract This study aimed to address the issue of larger prediction errors existing in intelligent predictive tasks related to Alzheimer's disease (AD). A cohort of 487 enrolled participants was categorized into three groups: normal control (138 individuals), mild cognitive impairment (238 patients), and AD (111 patients) in this study. An improved multifeature squeeze-and-excitation-dilated residual network (MFSE-DRN) was proposed for two important AD predictions: clinical scores and conversion probability. The model was characterized as three modules: squeeze-and-excitation-dilated residual block (SE-DRB), multifusion pooling (MF-Pool), and multimodal feature fusion. To assess its performance, the proposed model was compared with two other novel models: ranking convolutional neural network (RCNN) and 3D vision geometrical group network (3D-VGGNet). Our method showed the best performance in the two AD predicted tasks. For the clinical scores prediction, the root-mean-square errors (RMSEs) and mean absolute errors (MAEs) of mini-mental state examination (MMSE) and AD assessment scale-cognitive 11-item (ADAS-11) were 1.97, 1.46 and 4.20, 3.19 within 6 months; 2.48, 1.69 and 4.81, 3.44 within 12 months; 2.67, 1.86 and 5.81, 3.83 within 24 months; 3.02, 2.03 and 5.09, 3.43 within 36 months, respectively. At the AD conversion probability prediction, the prediction accuracies within 12, 24, and 36 months reached to 88.0, 85.5, and 88.4%, respectively. The AD predication would play a great role in clinical applications.
    Mesh-Begriff(e) Humans ; Alzheimer Disease ; Female ; Male ; Aged ; Neural Networks, Computer ; Cognitive Dysfunction/diagnosis ; Aged, 80 and over ; Mental Status and Dementia Tests
    Sprache Englisch
    Erscheinungsdatum 2024-05-25
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-62712-w
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel: Association between the Triglyceride Glucose Index and Hyperuricemia in Patients with Primary Hypertension: A Cross-Sectional Study.

    Liu, Shanshan / Zhou, Zhixian / Wu, Miao / Zhang, Hao / Xiao, Yao

    International journal of endocrinology

    2023  Band 2023, Seite(n) 5582306

    Abstract: Objective: The aim of this study was to investigate the association between the triglyceride glucose (TyG) index and hyperuricemia (HUA) in patients with grades 1-3 hypertension. : Results: The average TyG index was 8.71 ± 0.58. After adjusting for ... ...

    Abstract Objective: The aim of this study was to investigate the association between the triglyceride glucose (TyG) index and hyperuricemia (HUA) in patients with grades 1-3 hypertension.
    Results: The average TyG index was 8.71 ± 0.58. After adjusting for correlated variables, the logistic regression analysis revealed a positive correlation between the TyG index and HUA (OR = 1.83; 95% CI: 1.40-2.39). Smooth curve fitting showed that this correlation was linear in the whole range of the TyG index. In the subgroup analysis, the TyG index more strongly associated with HUA in the grades 1-2 hypertension group (OR = 2.22; 95% CI: 1.44-3.42) compared to that in the grade 3 hypertension group (OR = 1.58; 95% CI: 1.11-2.24;
    Conclusion: The TyG index was positively associated with HUA in patients with hypertension, and the association was more strongly confirmed in those with grades 1-2 hypertension rather than in those with grade 3 hypertension.
    Sprache Englisch
    Erscheinungsdatum 2023-06-15
    Erscheinungsland Egypt
    Dokumenttyp Journal Article
    ZDB-ID 2502951-4
    ISSN 1687-8345 ; 1687-8337
    ISSN (online) 1687-8345
    ISSN 1687-8337
    DOI 10.1155/2023/5582306
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: A combined deformable model and medical transformer algorithm for medical image segmentation

    Tang, Zhixian / Duan, Jintao / Sun, Yanming / Zeng, Yanan / Zhang, Yile / Yao, Xufeng

    Med Biol Eng Comput. 2023 Jan., v. 61, no. 1, p. 129-137

    2023  , Seite(n) 129–137

    Abstract: Deep learning–based segmentation models usually require substantial data, and the model usually suffers from poor generalization due to the lack of training data and inefficient network structure. We proposed to combine the deformable model and medical ... ...

    Abstract Deep learning–based segmentation models usually require substantial data, and the model usually suffers from poor generalization due to the lack of training data and inefficient network structure. We proposed to combine the deformable model and medical transformer neural network on the image segmentation task to alleviate the aforementioned problems. The proposed method first employs a statistical shape model to generate simulated contours of the target object, and then the thin plate spline is applied to create a realistic texture. Finally, a medical transformer network was constructed to segment three types of medical images, including prostate MR image, heart US image, and tongue color images. The segmentation accuracy of the three tasks achieved 89.97%, 91.90%, and 94.25%, respectively. The experimental results show that the proposed method improves medical image segmentation performance.
    Schlagwörter algorithms ; color ; heart ; image analysis ; models ; texture ; tongue
    Sprache Englisch
    Erscheinungsverlauf 2023-01
    Umfang p. 129-137
    Erscheinungsort Springer Berlin Heidelberg
    Dokumenttyp Artikel ; Online
    Anmerkung Use and reproduction
    ZDB-ID 282327-5
    ISSN 1741-0444 ; 0025-696X ; 0140-0118
    ISSN (online) 1741-0444
    ISSN 0025-696X ; 0140-0118
    DOI 10.1007/s11517-022-02702-0
    Datenquelle NAL Katalog (AGRICOLA)

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    Verfügbar in ZB MED Bonn

    Z 72/716: Hefte anzeigen

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  5. Artikel: Effects of

    Chen, Yifei / Liu, Kaifei / Qin, Yingyuan / Chen, Suyi / Guan, Guokai / Huang, Yao / Chen, Yu / Mo, Zhixian

    Frontiers in pharmacology

    2022  Band 13, Seite(n) 869810

    Abstract: Objective: ...

    Abstract Objective:
    Sprache Englisch
    Erscheinungsdatum 2022-05-09
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2022.869810
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: Heterojunction material BiYO

    Xu, Haoyang / Zhang, Yujuan / Wang, Yao / Zhang, Liang / Zhang, Zhiqiang / Zhong, Lvling / He, Zhixian / Zheng, Yage / Shen, Yue

    Carbohydrate polymers

    2023  Band 312, Seite(n) 120829

    Abstract: Cellulose nanofibers (CNFs) with large specific surface area and superb adsorption capacity are excellent photocatalyst carriers. In this study, heterojunction powder material ... ...

    Abstract Cellulose nanofibers (CNFs) with large specific surface area and superb adsorption capacity are excellent photocatalyst carriers. In this study, heterojunction powder material BiYO
    Sprache Englisch
    Erscheinungsdatum 2023-03-20
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 1501516-6
    ISSN 1879-1344 ; 0144-8617
    ISSN (online) 1879-1344
    ISSN 0144-8617
    DOI 10.1016/j.carbpol.2023.120829
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Artikel ; Online: High-throughput adjustable deformability cytometry utilizing elasto-inertial focusing and virtual fluidic channel.

    Zhou, Zheng / Ni, Chen / Zhu, Zhixian / Chen, Yao / Ni, Zhonghua / Xiang, Nan

    Lab on a chip

    2023  Band 23, Heft 20, Seite(n) 4528–4539

    Abstract: Cell mechanical properties provide a label-free marker for indicating cell states and disease processes. Although microfluidic deformability cytometry has demonstrated great potential and successes in mechanical phenotyping in recent years, its universal ...

    Abstract Cell mechanical properties provide a label-free marker for indicating cell states and disease processes. Although microfluidic deformability cytometry has demonstrated great potential and successes in mechanical phenotyping in recent years, its universal applicability for characterizing multiple sizes of cells using a single device has not been realized. Herein, we propose high-throughput adjustable deformability cytometry integrated with three-dimensional (3D) elasto-inertial focusing and a virtual fluidic channel. By properly adjusting the flow ratio of the sample and sheath, the virtual fluidic channel in a wide solid channel can generate a strong shear force in the normal direction of the flow velocity and simultaneously squeeze cells from both sides to induce significant cell deformation. The combination of elasto-inertial focusing and a virtual fluidic channel provides a great hydrodynamic symmetrical force for inducing significant and homogeneous cell deformation. In addition, our deformability cytometry system not only achieves rapid and precise cell deformation, but also allows the adjustable detection of multiple sizes of cells at a high throughput of up to 3000 cells per second. The mini-bilateral segmentation network (mini-BiSeNet) was developed to identify cells and extract features quickly. The classification of different cell populations (A549, MCF-7, MDA-MB-231, and WBCs) was carried out based on the cell size and deformation. By applying deep learning to cell classification, a high accuracy reaching approximately 90% was achieved. We also revealed the potential of our deformability cytometry for characterizing pleural effusions. The flexibility of our deformability cytometry holds promise for the mechanical phenotyping and detection of various biological samples.
    Sprache Englisch
    Erscheinungsdatum 2023-10-10
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2056646-3
    ISSN 1473-0189 ; 1473-0197
    ISSN (online) 1473-0189
    ISSN 1473-0197
    DOI 10.1039/d3lc00591g
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel: Structure and function of the membrane microdomains in osteoclasts.

    Hou, Jialong / Liu, Jian / Huang, Zhixian / Wang, Yining / Yao, Hanbing / Hu, Zhenxin / Shi, Chengge / Xu, Jiake / Wang, Qingqing

    Bone research

    2023  Band 11, Heft 1, Seite(n) 61

    Abstract: The cell membrane structure is closely related to the occurrence and progression of many metabolic bone diseases observed in the clinic and is an important target to the development of therapeutic strategies for these diseases. Strong experimental ... ...

    Abstract The cell membrane structure is closely related to the occurrence and progression of many metabolic bone diseases observed in the clinic and is an important target to the development of therapeutic strategies for these diseases. Strong experimental evidence supports the existence of membrane microdomains in osteoclasts (OCs). However, the potential membrane microdomains and the crucial mechanisms underlying their roles in OCs have not been fully characterized. Membrane microdomain components, such as scaffolding proteins and the actin cytoskeleton, as well as the roles of individual membrane proteins, need to be elucidated. In this review, we discuss the compositions and critical functions of membrane microdomains that determine the biological behavior of OCs through the three main stages of the OC life cycle.
    Mesh-Begriff(e) Osteoclasts ; Membrane Proteins/metabolism ; Membrane Microdomains/metabolism ; Cell Membrane Structures/metabolism
    Chemische Substanzen Membrane Proteins
    Sprache Englisch
    Erscheinungsdatum 2023-11-21
    Erscheinungsland China
    Dokumenttyp Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2803313-9
    ISSN 2095-6231 ; 2095-4700
    ISSN (online) 2095-6231
    ISSN 2095-4700
    DOI 10.1038/s41413-023-00294-5
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel ; Online: A combined deformable model and medical transformer algorithm for medical image segmentation.

    Tang, Zhixian / Duan, Jintao / Sun, Yanming / Zeng, Yanan / Zhang, Yile / Yao, Xufeng

    Medical & biological engineering & computing

    2022  

    Abstract: Deep learning-based segmentation models usually require substantial data, and the model usually suffers from poor generalization due to the lack of training data and inefficient network structure. We proposed to combine the deformable model and medical ... ...

    Abstract Deep learning-based segmentation models usually require substantial data, and the model usually suffers from poor generalization due to the lack of training data and inefficient network structure. We proposed to combine the deformable model and medical transformer neural network on the image segmentation task to alleviate the aforementioned problems. The proposed method first employs a statistical shape model to generate simulated contours of the target object, and then the thin plate spline is applied to create a realistic texture. Finally, a medical transformer network was constructed to segment three types of medical images, including prostate MR image, heart US image, and tongue color images. The segmentation accuracy of the three tasks achieved 89.97%, 91.90%, and 94.25%, respectively. The experimental results show that the proposed method improves medical image segmentation performance.
    Sprache Englisch
    Erscheinungsdatum 2022-11-03
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 282327-5
    ISSN 1741-0444 ; 0025-696X ; 0140-0118
    ISSN (online) 1741-0444
    ISSN 0025-696X ; 0140-0118
    DOI 10.1007/s11517-022-02702-0
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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    Verfügbar in ZB MED Köln/Königswinter

    Zs.A 294: Hefte anzeigen Standort:
    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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  10. Artikel ; Online: The diagnosis of SARS‐CoV2 pneumonia

    Zheng, Zhong / Yao, Zhixian / Wu, Ke / Zheng, Junhua

    Journal of Medical Virology

    A review of laboratory and radiological testing results

    2020  Band 92, Heft 11, Seite(n) 2420–2428

    Schlagwörter Virology ; Infectious Diseases ; covid19
    Sprache Englisch
    Verlag Wiley
    Erscheinungsland us
    Dokumenttyp Artikel ; Online
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.26081
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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    Verfügbar in ZB MED Köln/Königswinter

    Zs.A 1320: Hefte anzeigen Standort:
    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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