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  1. Book ; Online ; E-Book: Dental implant treatment in medically compromised patients

    Yuan, Quan

    2020  

    Author's details Quan Yuan editor
    Language English
    Size 1 Online-Ressource (xi, 253 Seiten), Illustrationen
    Publisher Springer
    Publishing place Cham
    Publishing country Switzerland
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020240292
    ISBN 978-3-030-28557-9 ; 9783030285562 ; 3-030-28557-X ; 3030285561
    DOI 10.1007/978-3-030-28557-9
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Research on Classroom Emotion Recognition Algorithm Based on Visual Emotion Classification.

    Yuan, Qinying

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 6453499

    Abstract: In this paper, we construct a classroom emotion recognition algorithm by classifying visual emotions for improving the quality of classroom teaching. We assign weights to the training images through an attention mechanism network and then add a designed ... ...

    Abstract In this paper, we construct a classroom emotion recognition algorithm by classifying visual emotions for improving the quality of classroom teaching. We assign weights to the training images through an attention mechanism network and then add a designed loss function so that it can focus on the feature parts of face images that are not obscured and can characterize the target emotion, thus improving the accuracy of facial emotion recognition under obscuration. Analyze the salient expression features of classroom students and establish a classification criteria and criteria library. The videos of classroom students' facial expressions are collected, a multi-task convolutional neural network (MTCNN) is used for face detection and image segmentation, and the ones with better feature morphology are selected to build a standard database. A visual motion analysis method with the fusion of overall and local features of the image is proposed. To validate the effectiveness of the designed MTCNN model, two mainstream classification networks, VGG16 and ResNet18, were tested and compared with MTCNN by training on RAF-DB, masked dataset, and the classroom dataset constructed in this paper, and the final accuracy after training was 78.26% and 75.03% for ResNet18 and VGG16, respectively. The results show that the MTCNN proposed in this paper has a better recognition effect. The test results of the loss function also show that it can effectively improve the recognition accuracy, and the MTCNN model has an accuracy of 93.53% for recognizing students' facial emotions. Finally, the dataset is extended with the training method of expression features, and the experimental study shows that the method performs well and can carry out recognition effectively.
    MeSH term(s) Algorithms ; Emotions ; Facial Expression ; Facial Recognition ; Humans ; Recognition, Psychology
    Language English
    Publishing date 2022-08-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/6453499
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: A Classroom Emotion Recognition Model Based on a Convolutional Neural Network Speech Emotion Algorithm.

    Yuan, Qinying

    publication RETRACTED

    Occupational therapy international

    2022  Volume 2022, Page(s) 9563877

    Abstract: In this paper, we construct a model of convolutional neural network speech emotion algorithm, analyze the classroom identified by the neural network with a certain degree of confidence together with the school used in the dataset, find the ... ...

    Abstract In this paper, we construct a model of convolutional neural network speech emotion algorithm, analyze the classroom identified by the neural network with a certain degree of confidence together with the school used in the dataset, find the characteristics and rules of teachers' control of classroom emotion nowadays using big data, find the parts of classroom emotion, and design a classroom emotion recognition model based on convolutional neural network speech emotion algorithm according to these characteristics. This paper will investigate the factors and patterns of teachers' emotional control in the classroom. In this paper, the existing neural network is adapted and improved, and some preprocessing is performed on the current dataset to train the network. The network used in this paper is a combination of convolutional neural network (CNN) and recurrent neural network (RNN), which takes advantage of both CNN for feature extraction and RNN for memory capability in the sequence model. This network has a good effect on both object labeling and speech recognition. For the problem of extracting emotion features of whole-sentence speech, we propose an attention mechanism-based emotion recognition algorithm for variable-length speech and design a spatiotemporal attention module for the speech emotion algorithm and a convolutional channel attention module for the CNN network to reduce the contribution of the spatiotemporal data of the speech emotion algorithm and the unimportant parts of the CNN convolutional channel feature data in the subsequent recognition by the attention mechanism. In turn, the weight of core key data and features is increased to improve the model recognition accuracy.
    MeSH term(s) Algorithms ; Emotions ; Humans ; Neural Networks, Computer ; Occupational Therapy ; Speech
    Language English
    Publishing date 2022-07-07
    Publishing country England
    Document type Journal Article ; Retracted Publication
    ZDB-ID 2095334-3
    ISSN 1557-0703 ; 0966-7903
    ISSN (online) 1557-0703
    ISSN 0966-7903
    DOI 10.1155/2022/9563877
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: [Research progress in methylation modification in tooth root development].

    Gan, X Y / Li, Q W / Yuan, Q

    Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology

    2024  Volume 59, Issue 5, Page(s) 502–506

    Abstract: Methylation modification is one of the most common epigenetic modification regulation in eukaryotes, including histone methylation, DNA methylation, RNA methylation, etc., which plays an important regulatory role in physiological processes and pathologic ...

    Abstract Methylation modification is one of the most common epigenetic modification regulation in eukaryotes, including histone methylation, DNA methylation, RNA methylation, etc., which plays an important regulatory role in physiological processes and pathologic occurrence and development. Tooth root development is carried out by both epithelial and mesenchymal cells and involves a variety of cell-molecular interactions. In recent years, a large number of studies have found that methylation plays a key role in the regulation of tooth root development and expands the mechanism network of tooth root development. In this paper, we review the role and mechanism of methylation modification during root development.
    MeSH term(s) DNA Methylation ; Tooth Root/growth & development ; Epigenesis, Genetic ; Humans ; Histones/metabolism ; Odontogenesis ; Methylation ; Epithelial Cells/metabolism
    Chemical Substances Histones
    Language Chinese
    Publishing date 2024-04-16
    Publishing country China
    Document type Journal Article ; Review ; English Abstract
    ZDB-ID 1027950-7
    ISSN 1002-0098
    ISSN 1002-0098
    DOI 10.3760/cma.j.cn112144-20240115-00023
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Unraveling the therapeutic potential of ginsenoside compound Mc1 in Alzheimer's disease: Exploring the role of AMPK/SIRT1/NF-κB signaling pathway and mitochondrial function.

    Yuan, Qi / Yang, Zhaokun

    Advances in clinical and experimental medicine : official organ Wroclaw Medical University

    2024  

    Abstract: Background: Alzheimer's disease (AD) is a disabling neurodegenerating disorder characterized by chronic neuroinflammation, cognitive impairment and memory loss. Current treatment options for AD offer limited benefits, underscoring the urgent need for ... ...

    Abstract Background: Alzheimer's disease (AD) is a disabling neurodegenerating disorder characterized by chronic neuroinflammation, cognitive impairment and memory loss. Current treatment options for AD offer limited benefits, underscoring the urgent need for alternative therapeutics. Despite the promising effects of ginsenosides in neurodegenerative diseases, the therapeutic potential of ginsenoside compound Mc1 (GCMc1) in AD remains to be thoroughly investigated.
    Objectives: This study aimed to investigate the therapeutic potential of GCMc1 in rats with AD and to elucidate the molecular mechanisms responsible for its effects.
    Material and methods: Alzheimer's disease was induced in Sprague Dawley rats through a single intra-cerebro-ventricular injection of amyloid-beta (Aβ)1-42 peptide. The animals were divided into 5 groups: a control group and 4 AD subgroups, with or without receiving 10 mg/kg of GCMc1 and/or 100 μg/kg of compound C intraperitoneally (ip.). Behavioral tests, mitochondrial function, inflammatory cytokines, and proteins expression were evaluated using the Morris water maze (MWM) test, fluorometry, enzyme-linked immunosorbent assay (ELISA), and immunoblotting techniques, respectively.
    Results: Treatment with GCMc1 improved cognitive function, reduced hippocampal Aβ accumulation, and suppressed interleukin (IL)-1β, IL-10 and tumor necrosis factor alpha (TNF-α) levels. Ginsenoside compound Mc1 reduced mitochondrial reactive oxygen species (ROS) levels and membrane depolarization, increased adenosine triphosphate (ATP) levels, upregulated the expression of AMPK, PGC-1α and SIRT1 proteins, and downregulated the nuclear factor-kappa-B (NF-κB) expression. Importantly, co-administration of compound C, an AMPK inhibitor, attenuated the beneficial effects of GCMc1, suggesting the involvement of AMPK pathway in mediating GCMc1's neuroprotective effects.
    Conclusions: We showed that GCMc1 confers substantial neuroprotection in rats with AD by modulating the AMPK/SIRT1/NF-κB signaling pathway. These findings highlight the potential of GCMc1 as a promising therapeutic agent for AD treatment.
    Language English
    Publishing date 2024-01-17
    Publishing country Poland
    Document type Journal Article
    ZDB-ID 2270257-X
    ISSN 1899-5276 ; 1230-025X
    ISSN 1899-5276 ; 1230-025X
    DOI 10.17219/acem/175049
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6489: Show issues Location:
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  6. Article ; Online: PtCu/Pt core/atomic-layer shell hollow octahedra for oxygen reduction and methanol oxidation electrocatalysis.

    Zhou, Yi / Yuan, Qiang

    Chemical communications (Cambridge, England)

    2024  Volume 60, Issue 21, Page(s) 2918–2921

    Abstract: Engineering effective bifunctional electrocatalysts that outperform the benchmark Pt/C for direct methanol proton exchange membrane fuel cells is desired and challenging. Here, we designed H-PtCu/ ... ...

    Abstract Engineering effective bifunctional electrocatalysts that outperform the benchmark Pt/C for direct methanol proton exchange membrane fuel cells is desired and challenging. Here, we designed H-PtCu/Pt
    Language English
    Publishing date 2024-03-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472881-3
    ISSN 1364-548X ; 1359-7345 ; 0009-241X
    ISSN (online) 1364-548X
    ISSN 1359-7345 ; 0009-241X
    DOI 10.1039/d4cc00030g
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data.

    Yuan, Qiuyue / Duren, Zhana

    Nature biotechnology

    2024  

    Abstract: Existing methods for gene regulatory network (GRN) inference rely on gene expression data alone or on lower resolution bulk data. Despite the recent integration of chromatin accessibility and RNA sequencing data, learning complex mechanisms from limited ... ...

    Abstract Existing methods for gene regulatory network (GRN) inference rely on gene expression data alone or on lower resolution bulk data. Despite the recent integration of chromatin accessibility and RNA sequencing data, learning complex mechanisms from limited independent data points still presents a daunting challenge. Here we present LINGER (Lifelong neural network for gene regulation), a machine-learning method to infer GRNs from single-cell paired gene expression and chromatin accessibility data. LINGER incorporates atlas-scale external bulk data across diverse cellular contexts and prior knowledge of transcription factor motifs as a manifold regularization. LINGER achieves a fourfold to sevenfold relative increase in accuracy over existing methods and reveals a complex regulatory landscape of genome-wide association studies, enabling enhanced interpretation of disease-associated variants and genes. Following the GRN inference from reference single-cell multiome data, LINGER enables the estimation of transcription factor activity solely from bulk or single-cell gene expression data, leveraging the abundance of available gene expression data to identify driver regulators from case-control studies.
    Language English
    Publishing date 2024-04-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1311932-1
    ISSN 1546-1696 ; 1087-0156
    ISSN (online) 1546-1696
    ISSN 1087-0156
    DOI 10.1038/s41587-024-02182-7
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  8. Article ; Online: Letter to the editor "Inflammatory biomarkers and nanotechnology: new insights in pancreatic cancer early detection".

    Yuan, Qihang / Shang, Dong

    International journal of surgery (London, England)

    2024  

    Language English
    Publishing date 2024-05-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2212038-5
    ISSN 1743-9159 ; 1743-9191
    ISSN (online) 1743-9159
    ISSN 1743-9191
    DOI 10.1097/JS9.0000000000001555
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6502: Show issues Location:
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  9. Article: [Spermidine alleviates lipopolysaccharide-induced myocardial injury in mice by suppressing apoptosis, ROS production and ferroptosis].

    Zhang, X / Zhao, P / Kuai, J / Chang, C / Yuan, Q

    Nan fang yi ke da xue xue bao = Journal of Southern Medical University

    2024  Volume 44, Issue 1, Page(s) 166–172

    Abstract: Objective: To investigate the protective effect of spermidine against lipopolysaccharide (LPS)-induced myocardial injury in mice and the underlying mechanism.: Methods: C57BL/6 mice subjected to intraperitoneal LPS injection with or without ... ...

    Abstract Objective: To investigate the protective effect of spermidine against lipopolysaccharide (LPS)-induced myocardial injury in mice and the underlying mechanism.
    Methods: C57BL/6 mice subjected to intraperitoneal LPS injection with or without pretreatment with daily gavage of spermidine for 2 weeks were examined for myocardial pathologies using HE staining and transmission electron microscopy. In the cell experiment, cultured rat cardiomyocytes (H9c2 cells) were pretreated with 10 or 20 μmol/L spermidine before LPS exposure for 2 h, and the changes in cell viability and levels of lactate dehydrogenase (LDH) and cardiac troponin Ⅰ (cTNI) were assessed using CCK-8 kit, LDH detection kit and ELISA, respectively. Western blotting was performed to detect the changes in the expressions of Bax, Bcl-2, cleaved caspase-3, SLC7A11 and GPX4; the changes in reactive oxygen species (ROS) and Fe
    Results: Treatment of the mice with LPS induced obvious myocardial and mitochondrial damages, which were significantly alleviated by pretreatment with spermidine. In H9c2 cells, LPS exposure significantly lowered the cell viability, increased LDH and cTNI levels and expressions of Bax and cleaved caspase-3 levels, decreased expressions of Bcl-2, SLC7A11 and GPX4, increased ROS production and Fe
    Conclusion: Spermidine alleviates LPS-induced myocardial injury by suppressing cell apoptosis and inhibiting cellular ROS production and ferroptosis.
    MeSH term(s) Mice ; Rats ; Animals ; Reactive Oxygen Species/metabolism ; Lipopolysaccharides/adverse effects ; Caspase 3/metabolism ; Spermidine/pharmacology ; Ferroptosis ; bcl-2-Associated X Protein ; Signal Transduction ; Mice, Inbred C57BL ; Apoptosis ; Proto-Oncogene Proteins c-bcl-2/metabolism
    Chemical Substances Reactive Oxygen Species ; Lipopolysaccharides ; Caspase 3 (EC 3.4.22.-) ; Spermidine (U87FK77H25) ; bcl-2-Associated X Protein ; Proto-Oncogene Proteins c-bcl-2
    Language Chinese
    Publishing date 2024-01-31
    Publishing country China
    Document type English Abstract ; Journal Article
    ZDB-ID 2250951-3
    ISSN 1673-4254
    ISSN 1673-4254
    DOI 10.12122/j.issn.1673-4254.2024.01.19
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6344: Show issues Location:
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  10. Article: [Comparative study of percutaneous transfacet screw and pedicle screw in oblique lumbar interbody fusion for the treatment of single-level lumbar spinal stenosis].

    Lang, Z / Yuan, Q / He, D / Sun, Y Q

    Zhonghua yi xue za zhi

    2024  Volume 104, Issue 11, Page(s) 870–876

    Abstract: Objective: ...

    Abstract Objective:
    MeSH term(s) Humans ; Male ; Female ; Middle Aged ; Aged ; Pedicle Screws ; Spinal Stenosis/surgery ; Retrospective Studies ; Lordosis ; Lumbar Vertebrae/surgery ; Spinal Fusion/methods ; Pain ; Treatment Outcome
    Language Chinese
    Publishing date 2024-02-26
    Publishing country China
    Document type English Abstract ; Journal Article
    ZDB-ID 132513-9
    ISSN 0376-2491
    ISSN 0376-2491
    DOI 10.3760/cma.j.cn112137-20230913-00456
    Database MEDical Literature Analysis and Retrieval System OnLINE

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