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  1. Article: [Application of sulfylated calcium alginate composite hydrogel loaded with zinc-based zeolite imidazole for the treatment of periodontitis].

    Ouyang, Ming / Wang, Guo-Hua

    Shanghai kou qiang yi xue = Shanghai journal of stomatology

    2023  Volume 31, Issue 4, Page(s) 379–383

    Abstract: Purpose: To explore the feasibility of adhesive thiomer calcium alginate composite hydrogel (ZIF-8@CHA-SH) containing metal-organic framework for the treatment of periodontitis in rats.: Methods: Preparation and characterization of ZIF-8@CHA-SH were ... ...

    Abstract Purpose: To explore the feasibility of adhesive thiomer calcium alginate composite hydrogel (ZIF-8@CHA-SH) containing metal-organic framework for the treatment of periodontitis in rats.
    Methods: Preparation and characterization of ZIF-8@CHA-SH were performed, and the morphology and chemical composition were observed. The antibacterial properties were detected by plate coating method and scanning electron microscope. CCK-8 and live/dead cell fluorescence staining were used to evaluate the toxicity of ZIF-8@CHA-SH on gingival fibroblasts. The anti-inflammatory and tissue repair promoting effects of ZIF-8@CHA-SH were verified by animal experiments. GraphPad Prism 7.0 software was used for statistical analysis.
    Results: The successful synthesis of ZIF-8@CHA-SH was proved by scanning electron microscopy, energy spectrum analysis, Fourier transform infrared spectroscopy and X-ray diffraction. ZIF-8@CHA-SH had excellent antibacterial ability, and the antibacterial rates against Escherichia coli, Staphylococcus aureus and Streptococcus mutans were (99.88±0.12)%, (99.81±0.32)% and (95.53±3.08)%, respectively（P<0.001）. The cell viability rate of ZIF-8@CHA-SH was (91.64±3.66)% after 5 days of co-culture with human gingival fibroblasts (P=0.6). In vivo experiments showed that ZIF-8@CHA-SH could reduce the infiltration of inflammatory cells and the expression of pro-inflammatory factor IL-6 in rats with periodontitis.
    Conclusions: ZIF-8@CHA-SH has excellent biological performance, which can effectively treat periodontitis caused by bacteria, and provids a new strategy for the treatment of periodontal diseases in the future.
    MeSH term(s) Rats ; Animals ; Humans ; Zinc ; Zeolites/chemistry ; Hydrogels/chemistry ; Alginates ; Anti-Bacterial Agents/pharmacology ; Periodontitis/drug therapy ; Imidazoles/chemistry
    Chemical Substances Zinc (J41CSQ7QDS) ; Zeolites (1318-02-1) ; Hydrogels ; Alginates ; Anti-Bacterial Agents ; Imidazoles
    Language Chinese
    Publishing date 2023-01-30
    Publishing country China
    Document type English Abstract ; Journal Article
    ZDB-ID 2269714-7
    ISSN 1006-7248
    ISSN 1006-7248
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6471: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  2. Article: [Characteristics of vegetation and soil in

    Wang, Guo-Hua / Wang, Jia-Qi / Liu, Jing

    Ying yong sheng tai xue bao = The journal of applied ecology

    2024  Volume 35, Issue 1, Page(s) 62–72

    Abstract: We investigated the changes of soil nutrients and plant communities in the artificial sand fixation forests ... ...

    Title translation 晋西北丘陵风沙区柠条锦鸡儿人工林植被和土壤随林龄变化特征.
    Abstract We investigated the changes of soil nutrients and plant communities in the artificial sand fixation forests of
    MeSH term(s) Soil ; Sand ; Caragana ; Carbon/analysis ; China ; Nitrogen
    Chemical Substances Soil ; Sand ; Carbon (7440-44-0) ; Nitrogen (N762921K75)
    Language Chinese
    Publishing date 2024-03-21
    Publishing country China
    Document type English Abstract ; Journal Article
    ZDB-ID 2881809-X
    ISSN 1001-9332
    ISSN 1001-9332
    DOI 10.13287/j.1001-9332.202401.004
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  3. Article ; Online: OGG1 prevents atherosclerosis-induced vascular endothelial cell injury through mediating DNA damage repair.

    Zhang, Yi-Ming / Wang, Guo-Hua / Xu, Miao-Jun / Jin, Gan

    Clinical hemorheology and microcirculation

    2024  

    Abstract: Objective: This study was designed to investigate the role of 8-oxoguanine DNA glycosylase 1 (OGG1) in preventing atherosclerosis-induced vascular EC injury, thereby providing a theoretical basis for the exploration of drug targets and treatment methods ...

    Abstract Objective: This study was designed to investigate the role of 8-oxoguanine DNA glycosylase 1 (OGG1) in preventing atherosclerosis-induced vascular EC injury, thereby providing a theoretical basis for the exploration of drug targets and treatment methods for atherosclerosis.
    Methods: Human umbilical vein cell line (EA.hy926) was treated with ox-LDL to construct an in vitro atherosclerotic cell model. pcDNA3.1-OGG1 was transfected into EA.hy926 cells to overexpress OGG1. qRT-PCR, CCK-8 assay, flow cytometry, oil red O staining, ELISA, comet assay and western blot were used to evaluate the OGG1 expression, viability, apoptosis level, lipid droplet content, 8-OHdG level and DNA damage of cells in each group.
    Results: Compared with the Control group, ox-LDL stimulation of endothelial cells significantly decreased cell viability, promoted apoptosis and DNA damage, and increased intracellular levels of 8-OHdG and γH2AX, while decreasing protein levels of PPARγ, FASN, FABP4, RAD51 and POLB. However, overexpression of OGG1 can significantly inhibit ox-LDL damage to endothelial cells, promote lipid metabolism, decrease lipid droplet content, and improve DNA repair function.
    Conclusion: Over-expression of OGG1 improves DNA repair. Briefly, OGG1 over-expression enhances the DNA damage repair of ECs by regulating the expression levels of γH2AX, RAD51 and POLB, thereby enhancing cell viability and reducing apoptosis.
    Language English
    Publishing date 2024-02-14
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1381750-4
    ISSN 1875-8622 ; 1386-0291
    ISSN (online) 1875-8622
    ISSN 1386-0291
    DOI 10.3233/CH-232082
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1623: Show issues Location:
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    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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  4. Book ; Online: Practical Network Acceleration with Tiny Sets

    Wang, Guo-Hua / Wu, Jianxin

    Hypothesis, Theory, and Algorithm

    2023  

    Abstract: Due to data privacy issues, accelerating networks with tiny training sets has become a critical need in practice. Previous methods achieved promising results empirically by filter-level pruning. In this paper, we both study this problem theoretically and ...

    Abstract Due to data privacy issues, accelerating networks with tiny training sets has become a critical need in practice. Previous methods achieved promising results empirically by filter-level pruning. In this paper, we both study this problem theoretically and propose an effective algorithm aligning well with our theoretical results. First, we propose the finetune convexity hypothesis to explain why recent few-shot compression algorithms do not suffer from overfitting problems. Based on it, a theory is further established to explain these methods for the first time. Compared to naively finetuning a pruned network, feature mimicking is proved to achieve a lower variance of parameters and hence enjoys easier optimization. With our theoretical conclusions, we claim dropping blocks is a fundamentally superior few-shot compression scheme in terms of more convex optimization and a higher acceleration ratio. To choose which blocks to drop, we propose a new metric, recoverability, to effectively measure the difficulty of recovering the compressed network. Finally, we propose an algorithm named PRACTISE to accelerate networks using only tiny training sets. PRACTISE outperforms previous methods by a significant margin. For 22% latency reduction, it surpasses previous methods by on average 7 percentage points on ImageNet-1k. It also works well under data-free or out-of-domain data settings. Our code is at https://github.com/DoctorKey/Practise

    Comment: under review for TPAMI. arXiv admin note: substantial text overlap with arXiv:2202.07861
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Artificial Intelligence ; Computer Science - Machine Learning ; Statistics - Machine Learning
    Subject code 006
    Publishing date 2023-03-02
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Distilling Knowledge by Mimicking Features.

    Wang, Guo-Hua / Ge, Yifan / Wu, Jianxin

    IEEE transactions on pattern analysis and machine intelligence

    2022  Volume 44, Issue 11, Page(s) 8183–8195

    Abstract: Knowledge distillation (KD) is a popular method to train efficient networks ("student") with the help of high-capacity networks ("teacher"). Traditional methods use the teacher's soft logits as extra supervision to train the student network. In this ... ...

    Abstract Knowledge distillation (KD) is a popular method to train efficient networks ("student") with the help of high-capacity networks ("teacher"). Traditional methods use the teacher's soft logits as extra supervision to train the student network. In this paper, we argue that it is more advantageous to make the student mimic the teacher's features in the penultimate layer. Not only the student can directly learn more effective information from the teacher feature, feature mimicking can also be applied for teachers trained without a softmax layer. Experiments show that it can achieve higher accuracy than traditional KD. To further facilitate feature mimicking, we decompose a feature vector into the magnitude and the direction. We argue that the teacher should give more freedom to the student feature's magnitude, and let the student pay more attention on mimicking the feature direction. To meet this requirement, we propose a loss term based on locality-sensitive hashing (LSH). With the help of this new loss, our method indeed mimics feature directions more accurately, relaxes constraints on feature magnitudes, and achieves state-of-the-art distillation accuracy. We provide theoretical analyses of how LSH facilitates feature direction mimicking, and further extend feature mimicking to multi-label recognition and object detection.
    MeSH term(s) Algorithms ; Humans ; Learning
    Language English
    Publishing date 2022-10-04
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1939-3539
    ISSN (online) 1939-3539
    DOI 10.1109/TPAMI.2021.3103973
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: Practical Network Acceleration with Tiny Sets

    Wang, Guo-Hua / Wu, Jianxin

    2022  

    Abstract: Due to data privacy issues, accelerating networks with tiny training sets has become a critical need in practice. Previous methods mainly adopt filter-level pruning to accelerate networks with scarce training samples. In this paper, we reveal that ... ...

    Abstract Due to data privacy issues, accelerating networks with tiny training sets has become a critical need in practice. Previous methods mainly adopt filter-level pruning to accelerate networks with scarce training samples. In this paper, we reveal that dropping blocks is a fundamentally superior approach in this scenario. It enjoys a higher acceleration ratio and results in a better latency-accuracy performance under the few-shot setting. To choose which blocks to drop, we propose a new concept namely recoverability to measure the difficulty of recovering the compressed network. Our recoverability is efficient and effective for choosing which blocks to drop. Finally, we propose an algorithm named PRACTISE to accelerate networks using only tiny sets of training images. PRACTISE outperforms previous methods by a significant margin. For 22% latency reduction, PRACTISE surpasses previous methods by on average 7% on ImageNet-1k. It also enjoys high generalization ability, working well under data-free or out-of-domain data settings, too. Our code is at https://github.com/DoctorKey/Practise.

    Comment: CVPR 2023
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Artificial Intelligence
    Subject code 006
    Publishing date 2022-02-16
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: [Morphology of

    Gou, Qian-Qian / Gao, Min / Zhang, Yu / Wang, Guo-Hua

    Ying yong sheng tai xue bao = The journal of applied ecology

    2022  Volume 33, Issue 11, Page(s) 2907–2914

    Abstract: We investigated the morphological characteristics ... ...

    Title translation 晋西北丘陵风沙区不同种植年限柠条的种子形态特征.
    Abstract We investigated the morphological characteristics of
    MeSH term(s) Caragana ; Germination ; Seeds ; Biomass ; Seed Bank
    Language Chinese
    Publishing date 2022-11-17
    Publishing country China
    Document type English Abstract ; Journal Article
    ZDB-ID 2881809-X
    ISSN 1001-9332
    ISSN 1001-9332
    DOI 10.13287/j.1001-9332.202211.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: SLDMS: A Tool for Calculating the Overlapping Regions of Sequences.

    Chen, Yu / You, DongLiang / Zhang, TianJiao / Wang, GuoHua

    Frontiers in plant science

    2022  Volume 12, Page(s) 813036

    Abstract: In the field of genome assembly, contig assembly is one of the most important parts. Contig assembly requires the processing of overlapping regions of a large number of DNA sequences and this calculation usually takes a lot of time. The time consumption ... ...

    Abstract In the field of genome assembly, contig assembly is one of the most important parts. Contig assembly requires the processing of overlapping regions of a large number of DNA sequences and this calculation usually takes a lot of time. The time consumption of contig assembly algorithms is an important indicator to evaluate the degree of algorithm superiority. Existing methods for processing overlapping regions of sequences consume too much in terms of running time. Therefore, we propose a method SLDMS for processing sequence overlapping regions based on suffix array and monotonic stack, which can effectively improve the efficiency of sequence overlapping regions processing. The running time of the SLDMS is much less than that of Canu and Flye in dealing with the sequence overlap interval and in some data with most sequencing errors occur at both the ends of the sequencing data, the running time of the SLDMS is only about one-tenth of the other two methods.
    Language English
    Publishing date 2022-01-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2613694-6
    ISSN 1664-462X
    ISSN 1664-462X
    DOI 10.3389/fpls.2021.813036
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: [Effects of sodium salt stress on seed germination of typical annuals in a desert-oasis ecotone of Hexi Corridor, China].

    Wang, Guo-Hua / Guo, Wen-Ting / Gou, Qian-Qian

    Ying yong sheng tai xue bao = The journal of applied ecology

    2021  Volume 31, Issue 6, Page(s) 1941–1947

    Abstract: We assessed the effects of different concentrations of salts (0, 40, 80, 120, 160 and 200 mmol· ... ...

    Abstract We assessed the effects of different concentrations of salts (0, 40, 80, 120, 160 and 200 mmol·L
    MeSH term(s) China ; Germination ; Salt Stress ; Seeds ; Sodium
    Chemical Substances Sodium (9NEZ333N27)
    Language Chinese
    Publishing date 2021-09-08
    Publishing country China
    Document type Journal Article
    ZDB-ID 2881809-X
    ISSN 1001-9332
    ISSN 1001-9332
    DOI 10.13287/j.1001-9332.202006.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Online: EVC

    Wang, Guo-Hua / Li, Jiahao / Li, Bin / Lu, Yan

    Towards Real-Time Neural Image Compression with Mask Decay

    2023  

    Abstract: Neural image compression has surpassed state-of-the-art traditional codecs (H.266/VVC) for rate-distortion (RD) performance, but suffers from large complexity and separate models for different rate-distortion trade-offs. In this paper, we propose an ... ...

    Abstract Neural image compression has surpassed state-of-the-art traditional codecs (H.266/VVC) for rate-distortion (RD) performance, but suffers from large complexity and separate models for different rate-distortion trade-offs. In this paper, we propose an Efficient single-model Variable-bit-rate Codec (EVC), which is able to run at 30 FPS with 768x512 input images and still outperforms VVC for the RD performance. By further reducing both encoder and decoder complexities, our small model even achieves 30 FPS with 1920x1080 input images. To bridge the performance gap between our different capacities models, we meticulously design the mask decay, which transforms the large model's parameters into the small model automatically. And a novel sparsity regularization loss is proposed to mitigate shortcomings of $L_p$ regularization. Our algorithm significantly narrows the performance gap by 50% and 30% for our medium and small models, respectively. At last, we advocate the scalable encoder for neural image compression. The encoding complexity is dynamic to meet different latency requirements. We propose decaying the large encoder multiple times to reduce the residual representation progressively. Both mask decay and residual representation learning greatly improve the RD performance of our scalable encoder. Our code is at https://github.com/microsoft/DCVC.

    Comment: Accepted by ICLR 2023. Codes are at https://github.com/microsoft/DCVC
    Keywords Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Multimedia
    Subject code 006
    Publishing date 2023-02-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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