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  1. Article: [Strategic significance of constructing a Chinese medicine prevention and control system for the implementation of the bone health program].

    Zhu, Li-Guo / Wei, Xu / Zhang, Yi-Li

    Zhongguo gu shang = China journal of orthopaedics and traumatology

    2024  Volume 37, Issue 1, Page(s) 1–2

    MeSH term(s) Humans ; Medicine, Chinese Traditional ; Bone Density ; Drugs, Chinese Herbal ; China
    Chemical Substances Drugs, Chinese Herbal
    Language Chinese
    Publishing date 2024-01-29
    Publishing country China
    Document type Journal Article
    ISSN 1003-0034
    ISSN 1003-0034
    DOI 10.12200/j.issn.1003-0034.20240068
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: [Adhere to both Chinese and western medicine and improve the level of evidence-based research in TCM orthopedics].

    Zhu, Li-Guo / Qiu, Gui-Xing

    Zhongguo gu shang = China journal of orthopaedics and traumatology

    2021  Volume 34, Issue 1, Page(s) 1–4

    MeSH term(s) China ; Drugs, Chinese Herbal ; Humans ; Medicine, Chinese Traditional ; Orthopedics ; Research
    Chemical Substances Drugs, Chinese Herbal
    Language Chinese
    Publishing date 2021-03-05
    Publishing country China
    Document type Journal Article
    ISSN 1003-0034
    ISSN 1003-0034
    DOI 10.12200/j.issn.1003-0034.2021.01.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: SIRT1 and ZNF350 as novel biomarkers for osteoporosis: a bioinformatics analysis and experimental validation.

    Zhu, Naiqiang / Hou, Jingyi / Si, Jingyuan / Yang, Ning / Chen, Bin / Wei, Xu / Zhu, Liguo

    Molecular biology reports

    2024  Volume 51, Issue 1, Page(s) 530

    Abstract: Background: Osteoporosis (OP) is characterized by bone mass decrease and bone tissue microarchitectural deterioration in bone tissue. This study identified potential biomarkers for early diagnosis of OP and elucidated the mechanism of OP.: Methods: ... ...

    Abstract Background: Osteoporosis (OP) is characterized by bone mass decrease and bone tissue microarchitectural deterioration in bone tissue. This study identified potential biomarkers for early diagnosis of OP and elucidated the mechanism of OP.
    Methods: Gene expression profiles were downloaded from Gene Expression Omnibus (GEO) for the GSE56814 dataset. A gene co-expression network was constructed using weighted gene co-expression network analysis (WGCNA) to identify key modules associated with healthy and OP samples. Functional enrichment analysis was conducted using the R clusterProfiler package for modules to construct the transcriptional regulatory factor networks. We used the "ggpubr" package in R to screen for differentially expressed genes between the two samples. Gene set variation analysis (GSVA) was employed to further validate hub gene expression levels between normal and OP samples using RT-PCR and immunofluorescence to evaluate the potential biological changes in various samples.
    Results: There was a distinction between the normal and OP conditions based on the preserved significant module. A total of 100 genes with the highest MM scores were considered key genes. Functional enrichment analysis suggested that the top 10 biological processes, cellular component and molecular functions were enriched. The Toll-like receptor signaling pathway, TNF signaling pathway, PI3K-Akt signaling pathway, osteoclast differentiation, JAK-STAT signaling pathway, and chemokine signaling pathway were identified by Kyoto Encyclopedia of Genes and Genomes pathway analysis. SIRT1 and ZNF350 were identified by Wilcoxon algorithm as hub differentially expressed transcriptional regulatory factors that promote OP progression by affecting oxidative phosphorylation, apoptosis, PI3K-Akt-mTOR signaling, and p53 pathway. According to RT-PCR and immunostaining results, SIRT1 and ZNF350 levels were significantly higher in OP samples than in normal samples.
    Conclusion: SIRT1 and ZNF350 are important transcriptional regulatory factors for the pathogenesis of OP and may be novel biomarkers for OP treatment.
    MeSH term(s) Humans ; Sirtuin 1/genetics ; Phosphatidylinositol 3-Kinases ; Proto-Oncogene Proteins c-akt ; Osteoporosis/genetics ; Biomarkers ; Computational Biology ; Gene Expression Profiling ; Gene Regulatory Networks ; Repressor Proteins
    Chemical Substances Sirtuin 1 (EC 3.5.1.-) ; Phosphatidylinositol 3-Kinases (EC 2.7.1.-) ; Proto-Oncogene Proteins c-akt (EC 2.7.11.1) ; Biomarkers ; ZNF350 protein, human ; Repressor Proteins ; SIRT1 protein, human (EC 3.5.1.-)
    Language English
    Publishing date 2024-04-18
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 186544-4
    ISSN 1573-4978 ; 0301-4851
    ISSN (online) 1573-4978
    ISSN 0301-4851
    DOI 10.1007/s11033-024-09406-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Draft genome sequence of yeast

    Meng, Lingning / Liu, Chang / Zhu, Liguo / Wang, Xinlei / Li, Chuchu

    Microbiology resource announcements

    2023  Volume 12, Issue 9, Page(s) e0015223

    Abstract: ... ...

    Abstract Vanrija
    Language English
    Publishing date 2023-08-23
    Publishing country United States
    Document type Journal Article
    ISSN 2576-098X
    ISSN (online) 2576-098X
    DOI 10.1128/MRA.00152-23
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: Towards Assessing Compliant Robotic Grasping from First-Object Perspective via Instrumented Objects

    Knopke, Maceon / Zhu, Liguo / Corke, Peter / Zhang, Fangyi

    2023  

    Abstract: Grasping compliant objects is difficult for robots - applying too little force may cause the grasp to fail, while too much force may lead to object damage. A robot needs to apply the right amount of force to quickly and confidently grasp the objects so ... ...

    Abstract Grasping compliant objects is difficult for robots - applying too little force may cause the grasp to fail, while too much force may lead to object damage. A robot needs to apply the right amount of force to quickly and confidently grasp the objects so that it can perform the required task. Although some methods have been proposed to tackle this issue, performance assessment is still a problem for directly measuring object property changes and possible damage. To fill the gap, a new concept is introduced in this paper to assess compliant robotic grasping using instrumented objects. A proof-of-concept design is proposed to measure the force applied on a cuboid object from a first-object perspective. The design can detect multiple contact locations and applied forces on its surface by using multiple embedded 3D Hall sensors to detect deformation relative to embedded magnets. The contact estimation is achieved by interpreting the Hall-effect signals using neural networks. In comprehensive experiments, the design achieved good performance in estimating contacts from each single face of the cuboid and decent performance in detecting contacts from multiple faces when being used to evaluate grasping from a parallel jaw gripper, demonstrating the effectiveness of the design and the feasibility of the concept.

    Comment: Under review for RA-L
    Keywords Computer Science - Robotics
    Subject code 629
    Publishing date 2023-12-22
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Immune exposure: how macrophages interact with the nucleus pulposus.

    Feng, Peng / Che, Ying / Gao, Chunyu / Zhu, Liguo / Gao, Jinghua / Vo, Nam V

    Frontiers in immunology

    2023  Volume 14, Page(s) 1155746

    Abstract: Intervertebral disc degeneration (IDD) is a primary contributor to low back pain. Immune cells play an extremely important role in modulating the progression of IDD by interacting with disc nucleus pulposus (NP) cells and extracellular matrix (ECM). ... ...

    Abstract Intervertebral disc degeneration (IDD) is a primary contributor to low back pain. Immune cells play an extremely important role in modulating the progression of IDD by interacting with disc nucleus pulposus (NP) cells and extracellular matrix (ECM). Encased within the annulus fibrosus, healthy NP is an avascular and immune-privileged tissue that does not normally interact with macrophages. However, under pathological conditions in which neovascularization is established in the damaged disc, NP establishes extensive crosstalk with macrophages, leading to different outcomes depending on the different microenvironmental stimuli. M1 macrophages are a class of immune cells that are predominantly pro-inflammatory and promote inflammation and ECM degradation in the NP, creating a vicious cycle of matrix catabolism that drives IDD. In contrast, NP cells interacting with M2 macrophages promote disc tissue ECM remodeling and repair as M2 macrophages are primarily involved in anti-inflammatory cellular responses. Hence, depending on the crosstalk between NP and the type of immune cells (M1 vs. M2), the overall effects on IDD could be detrimental or regenerative. Drug or surgical treatment of IDD can modulate this crosstalk and hence the different treatment outcomes. This review comprehensively summarizes the interaction between macrophages and NP, aiming to highlight the important role of immunology in disc degeneration.
    MeSH term(s) Humans ; Nucleus Pulposus/metabolism ; Intervertebral Disc Degeneration/pathology ; Macrophages/metabolism ; Extracellular Matrix/metabolism ; Inflammation/metabolism
    Language English
    Publishing date 2023-04-14
    Publishing country Switzerland
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2606827-8
    ISSN 1664-3224 ; 1664-3224
    ISSN (online) 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2023.1155746
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Classification of Amino Acids Using Hybrid Terahertz Spectrum and an Efficient Channel Attention Convolutional Neural Network.

    Wang, Bo / Qin, Xiaoling / Meng, Kun / Zhu, Liguo / Li, Zeren

    Nanomaterials (Basel, Switzerland)

    2022  Volume 12, Issue 12

    Abstract: Terahertz (THz) spectroscopy is the de facto method to study the vibration modes and rotational energy levels of molecules and is a widely used molecular sensor for non-destructive inspection. Here, based on the THz spectra of 20 amino acids, a method ... ...

    Abstract Terahertz (THz) spectroscopy is the de facto method to study the vibration modes and rotational energy levels of molecules and is a widely used molecular sensor for non-destructive inspection. Here, based on the THz spectra of 20 amino acids, a method that extracts high-dimensional features from a hybrid spectrum combined with absorption rate and refractive index is proposed. A convolutional neural network (CNN) calibrated by efficient channel attention (ECA) is designed to learn from the high-dimensional features and make classifications. The proposed method achieves an accuracy of 99.9% and 99.2% on two testing datasets, which are 12.5% and 23% higher than the method solely classifying the absorption spectrum. The proposed method also realizes a processing speed of 3782.46 frames per second (fps), which is the highest among all the methods in comparison. Due to the compact size, high accuracy, and high speed, the proposed method is viable for future applications in THz chemical sensors.
    Language English
    Publishing date 2022-06-20
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662255-5
    ISSN 2079-4991
    ISSN 2079-4991
    DOI 10.3390/nano12122114
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Learned iterative shrinkage and thresholding algorithm for terahertz sparse deconvolution.

    Wang, Bo / Qin, Xiaoling / Li, Wenping / Li, Zeren / Zhu, Liguo

    Optics express

    2022  Volume 30, Issue 11, Page(s) 18238–18249

    Abstract: Terahertz sparse deconvolution based on an iterative shrinkage and thresholding algorithm (ISTA) has been used to characterize multilayered structures with resolution equivalent to or finer than the sampling period of the measurement. However, this ... ...

    Abstract Terahertz sparse deconvolution based on an iterative shrinkage and thresholding algorithm (ISTA) has been used to characterize multilayered structures with resolution equivalent to or finer than the sampling period of the measurement. However, this method was only studied on thin samples to separate the overlapped echos that can't be distinguished by other deconvolution algorithms. Besides, ISTA heavily depends on the convolution matrix consisting of delayed incident pulse, which is difficult to precisely extricate from the reference signal, and thereby fluctuations caused by noise are occasionally treated as echos. In this work, a terahertz sparse deconvolution based on a learned iterative shrinkage and thresholding algorithm (LISTA) is proposed. The method enclosed the matrix multiplication and soft thresholding in a block and cascaded multiple blocks together to form a deep network. The convolution matrices of the network were updated by stochastic gradient descent to minimize the distance between the output sparse vector and the optimal sparse representation of the signal, and subsequently the trained network made more precise estimation of the echos than ISTA. Additionally, LISTA is notably faster than ISTA, which is important for real-time tomographic-image processing. The algorithm was evaluated on terahertz tomographic imaging of a high-density poly ethylene (HDPE) sample, revealing obvious improvements in detecting defects of different sizes and depths. This technique has potential usage in nondestructive testings of thick samples, where echos reflected by minor defects are not discernible by existed deconvolution algorithms.
    Language English
    Publishing date 2022-10-12
    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.456688
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Anomalous transmission and Anderson localization for alternating propagated and evanescent waves at the deep-subwavelength scale.

    Sun, Changlin / Liu, Haiyi / Qi, Pengfei / Zhu, Liguo / Guo, Lanjun / Lin, Lie / Liu, Weiwei

    Nanoscale

    2023  Volume 15, Issue 31, Page(s) 12907–12914

    Abstract: Deep-subwavelength features have a minimal impact on wave transport in all dielectric systems; thus the homogenization approach was commonly adopted. Recently, the breakdown of effective medium theory (EMT) for the incident wave near the total reflection ...

    Abstract Deep-subwavelength features have a minimal impact on wave transport in all dielectric systems; thus the homogenization approach was commonly adopted. Recently, the breakdown of effective medium theory (EMT) for the incident wave near the total reflection (TR) angle was demonstrated in a deep-subwavelength dielectric multilayer. Additionally, anomalous transmission was reported at angles exceeding the TR angle when introducing disorder and was attributed to Anderson localization. Here we firstly demonstrated that the alleged anomalous transmission also occurs in the disorder-free case, illustrating that attributing anomalous transmission to Anderson localization deserves a more in-depth study. To clarify the underlying physics of this asserted anomalous transmission, Anderson localization and broken EMT, the incident angle dependent reflectivity and modes for ordered and disordered deep-subwavelength multilayers were investigated systematically. Actually, the EMT is still convincing and the anomalous transmission is reasonable after a simple correction. However, the anomalous transmission is more accessible and the permittivity correction is more imperative in the disordered system due to the Anderson localization. These findings can be expanded to other wave systems such as acoustic waves and matter waves, providing insight into EMT and deepening our understanding of the intriguing transport phenomena in deep subwavelength systems.
    Language English
    Publishing date 2023-08-10
    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/d3nr01670f
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Stanniocalcin-1 Promotes PARP1-Dependent Cell Death via JNK Activation in Colitis.

    Zhu, Liguo / Xie, Zhuo / Yang, Guang / Zhou, Gaoshi / Li, Li / Zhang, Shenghong

    Advanced science (Weinheim, Baden-Wurttemberg, Germany)

    2023  Volume 11, Issue 5, Page(s) e2304123

    Abstract: Stanniocalcin-1 (STC1) is upregulated by inflammation and modulates oxidative stress-induced cell death. Herein, the function of STC1 in colitis and stress-induced parthanatos, a newly identified type of programmed necrotic cell death dependent on the ... ...

    Abstract Stanniocalcin-1 (STC1) is upregulated by inflammation and modulates oxidative stress-induced cell death. Herein, the function of STC1 in colitis and stress-induced parthanatos, a newly identified type of programmed necrotic cell death dependent on the activation of poly-ADP ribose polymerase-1 (PARP1) is investigated. Results show that STC1 expression is markedly increased in the inflamed colonic mucosa of Crohn's disease (CD) patients and chemically-induced mice colitis models. Evaluation of parthanatos severity and pro-inflammatory cytokine expression shows that intestinal-specific Stc1 knockout (Stc1
    MeSH term(s) Animals ; Humans ; Mice ; Apoptosis ; Colitis/metabolism ; Colitis/pathology ; Cytokines ; Glycoproteins ; Inflammation ; Poly (ADP-Ribose) Polymerase-1 ; Proteomics
    Chemical Substances Cytokines ; Glycoproteins ; PARP1 protein, human (EC 2.4.2.30) ; Poly (ADP-Ribose) Polymerase-1 (EC 2.4.2.30) ; teleocalcin (76687-96-2)
    Language English
    Publishing date 2023-12-13
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2808093-2
    ISSN 2198-3844 ; 2198-3844
    ISSN (online) 2198-3844
    ISSN 2198-3844
    DOI 10.1002/advs.202304123
    Database MEDical Literature Analysis and Retrieval System OnLINE

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