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  1. Article: CircRNAs in osteoarthritis: research status and prospect.

    Li, Zhuang / Lu, Jun

    Frontiers in genetics

    2023  Volume 14, Page(s) 1173812

    Abstract: Osteoarthritis (OA) is the most common joint disease globally, and its progression is irreversible. The mechanism of osteoarthritis is not fully understood. Research on the molecular biological mechanism of OA is deepening, among which epigenetics, ... ...

    Abstract Osteoarthritis (OA) is the most common joint disease globally, and its progression is irreversible. The mechanism of osteoarthritis is not fully understood. Research on the molecular biological mechanism of OA is deepening, among which epigenetics, especially noncoding RNA, is an emerging hotspot. CircRNA is a unique circular noncoding RNA not degraded by RNase R, so it is a possible clinical target and biomarker. Many studies have found that circRNAs play an essential role in the progression of OA, including extracellular matrix metabolism, autophagy, apoptosis, the proliferation of chondrocytes, inflammation, oxidative stress, cartilage development, and chondrogenic differentiation. Differential expression of circRNAs was also observed in the synovium and subchondral bone in the OA joint. In terms of mechanism, existing studies have mainly found that circRNA adsorbs miRNA through the ceRNA mechanism, and a few studies have found that circRNA can serve as a scaffold for protein reactions. In terms of clinical transformation, circRNAs are considered promising biomarkers, but no large cohort has tested their diagnostic value. Meanwhile, some studies have used circRNAs loaded in extracellular vesicles for OA precision medicine. However, there are still many problems to be solved in the research, such as the role of circRNA in different OA stages or OA subtypes, the construction of animal models of circRNA knockout, and more research on the mechanism of circRNA. In general, circRNAs have a regulatory role in OA and have particular clinical potential, but further studies are needed in the future.
    Language English
    Publishing date 2023-05-09
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2023.1173812
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Synthesis and antimicrobial studies of cadasides analogues via on-resin esterification.

    Yan, Xiangzhen / He, Chengshuo / Li, Zhuang / Jin, Kang

    Bioorganic & medicinal chemistry

    2024  Volume 99, Page(s) 117601

    Abstract: A series of cadasides analogues have been prepared via a combination of solid-phase peptide synthesis and solution-phase cyclization. Primary structure-activity relationship studies of cadasides have also been established and revealed the critical roles ... ...

    Abstract A series of cadasides analogues have been prepared via a combination of solid-phase peptide synthesis and solution-phase cyclization. Primary structure-activity relationship studies of cadasides have also been established and revealed the critical roles of unnatural amino acid residues, which will facilitate the further development of cadasides analogues with improved antimicrobial activities.
    MeSH term(s) Esterification ; Anti-Infective Agents/pharmacology ; Structure-Activity Relationship ; Cyclization
    Chemical Substances Anti-Infective Agents
    Language English
    Publishing date 2024-01-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 1161284-8
    ISSN 1464-3391 ; 0968-0896
    ISSN (online) 1464-3391
    ISSN 0968-0896
    DOI 10.1016/j.bmc.2024.117601
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3815: Show issues Location:
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  3. Book ; Online: Representation Learning for Weakly Supervised Relation Extraction

    Li, Zhuang

    2021  

    Abstract: Recent years have seen rapid development in Information Extraction, as well as its subtask, Relation Extraction. Relation Extraction is able to detect semantic relations between entities in sentences. Currently, many efficient approaches have been ... ...

    Abstract Recent years have seen rapid development in Information Extraction, as well as its subtask, Relation Extraction. Relation Extraction is able to detect semantic relations between entities in sentences. Currently, many efficient approaches have been applied to relation extraction tasks. Supervised learning approaches especially have good performance. However, there are still many difficult challenges. One of the most serious problems is that manually labeled data is difficult to acquire. In most cases, limited data for supervised approaches equals lousy performance. Thus here, under the situation with only limited training data, we focus on how to improve the performance of our supervised baseline system with unsupervised pre-training. Feature is one of the key components in improving the supervised approaches. Traditional approaches usually apply hand-crafted features, which require expert knowledge and expensive human labor. However, this type of feature might suffer from data sparsity: when the training set size is small, the model parameters might be poorly estimated. In this thesis, we present several novel unsupervised pre-training models to learn the distributed text representation features, which are encoded with rich syntactic-semantic patterns of relation expressions. The experiments have demonstrated that this type of feature, combine with the traditional hand-crafted features, could improve the performance of the logistic classification model for relation extraction, especially on the classification of relations with only minor training instances.

    Comment: Master Research Thesis of the Australian National University, 60 pages
    Keywords Computer Science - Computation and Language
    Subject code 006
    Publishing date 2021-04-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: A Decision Model for Public Economic Environment Monitoring and Management Decision Using Improved Ant Colony Algorithm.

    Ji, Hongmei / Li, Zhuang

    publication RETRACTED

    Journal of environmental and public health

    2022  Volume 2022, Page(s) 4096566

    Abstract: The quality of economic development is not sufficient, despite the apparent role that public environmental monitoring and management play in the economy's rapid expansion. Therefore, enhancing the standard of economic growth is of the utmost importance. ... ...

    Abstract The quality of economic development is not sufficient, despite the apparent role that public environmental monitoring and management play in the economy's rapid expansion. Therefore, enhancing the standard of economic growth is of the utmost importance. It is vital to establish innovative management techniques to support social and governmental transformation in order to raise the standard of economic development. Economic development affects public administration's fundamental duties and goals. The division of public administration distributes social resources and enhances the market's function. The fundamental problem in public economic management is how to successfully actualize rational resource allocation, advance social justice, and boost social welfare on the basis of resource scarcity and the breakdown of the market mechanism. This study greatly increases the global optimization performance of the fundamental ant colony method and provides the explicit programme and simulation stages for the new algorithm. Finally, simulation tests are conducted using the basic ant colony algorithm and the upgraded ant colony algorithm in relation to the decision-making model of public economic management. According to the simulation findings, the revised algorithm successfully addresses the traditional approach's drawbacks, including its slow convergence speed and propensity to easily enter local minima, and its optimization performance has increased by 30.23%.
    MeSH term(s) Algorithms ; Computer Simulation ; Environmental Monitoring
    Language English
    Publishing date 2022-09-28
    Publishing country United States
    Document type Journal Article ; Retracted Publication
    ZDB-ID 2526611-1
    ISSN 1687-9813 ; 1687-9813
    ISSN (online) 1687-9813
    ISSN 1687-9813
    DOI 10.1155/2022/4096566
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Wavelength-switchable watt-level continuous wave near-infrared Pr

    Li, Zhuang / Liao, Wenlu / Zhang, Zheng / Xu, Huiying / Cai, Zhiping

    Optics letters

    2024  Volume 49, Issue 7, Page(s) 1660–1663

    Abstract: We report a high-performance wavelength-switchable near-infrared ... ...

    Abstract We report a high-performance wavelength-switchable near-infrared Pr
    Language English
    Publishing date 2024-04-01
    Publishing country United States
    Document type Journal Article
    ISSN 1539-4794
    ISSN (online) 1539-4794
    DOI 10.1364/OL.517858
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Functional and Degradable Polyester-

    Zhao, Yajun / Zhang, Xiaohui / Li, Zhuang / Li, Zhaokun / Tang, Shan

    ACS macro letters

    2024  Volume 13, Issue 3, Page(s) 315–321

    Abstract: Carbon dioxide ( ... ...

    Abstract Carbon dioxide (CO
    Language English
    Publishing date 2024-02-21
    Publishing country United States
    Document type Journal Article
    ISSN 2161-1653
    ISSN (online) 2161-1653
    DOI 10.1021/acsmacrolett.4c00071
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Modeling the association between functional connectivity and lateralization with the activity flow framework.

    Zhan, Xue / Lang, Jinwei / Yang, Li-Zhuang / Li, Hai

    Brain research

    2024  Volume 1830, Page(s) 148831

    Abstract: The human brain is localized and distributed. On the one hand, each cognitive function tends to involve one hemisphere more than the other, also known as the principle of lateralization. On the other hand, interactions among brain regions in the form of ... ...

    Abstract The human brain is localized and distributed. On the one hand, each cognitive function tends to involve one hemisphere more than the other, also known as the principle of lateralization. On the other hand, interactions among brain regions in the form of functional connectivity (FC) are indispensable for intact function. Recent years have seen growing interest in the association between lateralization and FC. However, FC metrics vary from spurious correlation to causal associations. If lateralization manifests local processing and causal network interactions, more causally valid FC metrics should predict lateralization index (LI) better than FC based on simple correlations. The present study directly investigates this hypothesis within the activity flow framework to compare the association between lateralization and four brain connectivity metrics: correlation-based FC, multiple-regression FC, partial-correlation FC, and combinedFC. We propose two modeling approaches: the one-step approach, which models the relationship between LI and FC directly, and the two-step approach, which predicts the brain activation and calculates the LI. Our results indicated that multiple-regression FC, partial-correlation FC, and combinedFC could significantly improve the model prediction compared to correlation-based FC, which was consistent in a spatial working memory task (typically right-lateralized) and a language task (typically left-lateralized). The one-step and two-step approach yielded similar conclusions. In addition, the finding was replicated in a clinical sample of schizophrenia (SZ), bipolar disorder (BP), and attention deficit hyperactivity disorder (ADHD). The present study suggests that the causal interactions among brain regions help shape the lateralization pattern.
    MeSH term(s) Humans ; Magnetic Resonance Imaging/methods ; Brain/physiology ; Brain Mapping ; Memory, Short-Term ; Language ; Functional Laterality/physiology
    Language English
    Publishing date 2024-02-25
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1200-2
    ISSN 1872-6240 ; 0006-8993
    ISSN (online) 1872-6240
    ISSN 0006-8993
    DOI 10.1016/j.brainres.2024.148831
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 161: Show issues Location:
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  8. Article ; Online: Molecular mechanism for target RNA recognition and cleavage of Cas13h.

    Chen, Fugen / Zhang, Chendi / Xue, Jialin / Wang, Feng / Li, Zhuang

    Nucleic acids research

    2024  

    Abstract: RNA-targeting type VI CRISPR-Cas effectors are widely used in RNA applications. Cas13h is a recently identified subtype of Cas13 ribonuclease, with strong RNA cleavage activity and robust in vivo RNA knockdown efficiency. However, little is known ... ...

    Abstract RNA-targeting type VI CRISPR-Cas effectors are widely used in RNA applications. Cas13h is a recently identified subtype of Cas13 ribonuclease, with strong RNA cleavage activity and robust in vivo RNA knockdown efficiency. However, little is known regarding its biochemical properties and working mechanisms. Biochemical characterization of Cas13h1 indicated that it lacks in vitro pre-crRNA processing activity and adopts a central seed. The cleavage activity of Cas13h1 is enhanced by a R(G/A) 5'-PFS, and inhibited by tag:anti-tag RNA pairing. We determined the structures of Cas13h1-crRNA binary complex at 3.1 Å and Cas13h1-crRNA-target RNA ternary complex at 3.0 Å. The ternary complex adopts an elongated architecture, and encodes a nucleotide-binding pocket within Helical-2 domain to recognize the guanosine at the 5'-end of the target RNA. Base pairing between crRNA guide and target RNA disrupts Cas13h1-guide interactions, leading to dramatic movement of HEPN domains. Upon target RNA engagement, Cas13h1 adopts a complicated activation mechanism, including separation of HEPN catalytic residues and destabilization of the active site loop and NTD domain, to get activated. Collectively, these insights expand our understanding into Cas13 effectors.
    Language English
    Publishing date 2024-04-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 186809-3
    ISSN 1362-4962 ; 1362-4954 ; 0301-5610 ; 0305-1048
    ISSN (online) 1362-4962 ; 1362-4954
    ISSN 0301-5610 ; 0305-1048
    DOI 10.1093/nar/gkae324
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    Zs.A 1067: Show issues Location:
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  9. Article ; Online: Gallbladder cancer: surgical treatment, immunotherapy, and targeted therapy.

    Sun, Yanjun / Gong, Junfeng / Li, Zhuang / Han, Lin / Sun, Dengqun

    Postgraduate medicine

    2024  , Page(s) 1–14

    Abstract: Gallbladder cancer is a common type of biliary tract tumor. Optimal management for early stage cases typically involves radical excision as the primary treatment modality. Various surgical techniques, including laparoscopic, robotic, and navigational ... ...

    Abstract Gallbladder cancer is a common type of biliary tract tumor. Optimal management for early stage cases typically involves radical excision as the primary treatment modality. Various surgical techniques, including laparoscopic, robotic, and navigational surgery, have demonstrated favorable clinical outcomes in radical gallbladder excision. Unfortunately, most patients are ineligible for surgical intervention because of the advanced stage of the disease upon diagnosis. Consequently, non-surgical interventions, such as chemotherapy, radiotherapy, immunotherapy, and targeted therapy, have become the mainstay of treatment for patients in advanced stages. This review focuses on elucidating various surgical techniques as well as advancements in immunotherapy and targeted therapy in the context of recent advancements in gallbladder cancer research.
    Language English
    Publishing date 2024-04-23
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 410138-8
    ISSN 1941-9260 ; 0032-5481
    ISSN (online) 1941-9260
    ISSN 0032-5481
    DOI 10.1080/00325481.2024.2345585
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ua VI Zs.407: Show issues Location:
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  10. Article ; Online: Evaluation on the psychological adjustment and countermeasures of civil servants in public emergencies.

    Zhu, Tianyi / Guo, Shijie / Li, Wenfeng / Li, Zhuang

    Frontiers in public health

    2023  Volume 10, Page(s) 1114518

    Abstract: Public health emergencies are inevitable major development crises, and there are almost no omens of any emergency. The current social development would inevitably affect the psychological situation of civil servants. Grass roots civil servants have a ... ...

    Abstract Public health emergencies are inevitable major development crises, and there are almost no omens of any emergency. The current social development would inevitably affect the psychological situation of civil servants. Grass roots civil servants have a wider range of tasks, more difficult working conditions and a more difficult environment. Under the strong social pressure, civil servants would also have negative factors such as fear and negative attitude. The mental health of grass-roots civil servants depends not only on the image and efficiency of the government, but also on creating a harmonious atmosphere and the quality of economic development. Therefore, people must pay attention to the psychological health of civil servants. It is mainly through psychological intervention and psychological adjustment to improve mental health. By analyzing the psychological characteristics of civil servants under emergencies and under pressure, and according to the importance of their coping ability under emergencies, this paper conducted corresponding psychological adjustment and psychological intervention to ensure the psychological health of civil servants, improve their ability to deal with public emergencies, and enable them to use correct and positive psychology to deal with public emergencies. It can be seen from the firefly algorithm that the prediction error value of the comprehensive quality of civil servants was declining, while the evaluation effect of the comprehensive quality was rising. The average value of the prediction error value of the comprehensive quality was about 0.49, and the average value of the evaluation effect of the comprehensive quality was about 0.73. In the whole process, the prediction error value of comprehensive quality decreased by 0.37, and the evaluation effect of comprehensive quality increased by 0.33. The comprehensive psychological quality and psychological adjustment ability of civil servants after psychological intervention were better than those before psychological intervention. The comprehensive psychological quality of civil servants after psychological intervention was 8.56% higher than that before psychological intervention, and the psychological adjustment ability was 8.47% higher than that before psychological intervention.
    MeSH term(s) Humans ; Emotional Adjustment ; Emergencies
    Language English
    Publishing date 2023-01-20
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2022.1114518
    Database MEDical Literature Analysis and Retrieval System OnLINE

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