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  1. Article ; Online: China's top 10 achievements in hematology in 2022.

    Wang, Xiaochen

    Blood science (Baltimore, Md.)

    2023  Volume 5, Issue 2, Page(s) 75–76

    Language English
    Publishing date 2023-03-27
    Publishing country United States
    Document type Editorial
    ISSN 2543-6368
    ISSN (online) 2543-6368
    DOI 10.1097/BS9.0000000000000156
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: China's top 10 hematological advances in 2021 lists the key developments in hematology in China for that year.

    Wang, Xiaochen

    Blood science (Baltimore, Md.)

    2022  Volume 4, Issue 1, Page(s) 5–7

    Abstract: The China's top 10 hematological advances in 2021 was announced at the ... ...

    Abstract The China's top 10 hematological advances in 2021 was announced at the 2
    Language English
    Publishing date 2022-01-25
    Publishing country United States
    Document type Editorial
    ISSN 2543-6368
    ISSN (online) 2543-6368
    DOI 10.1097/BS9.0000000000000103
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: China's top 10 hematologic advances in 2020.

    Wang, Xiaochen

    Blood science (Baltimore, Md.)

    2021  Volume 3, Issue 2, Page(s) 27–28

    Language English
    Publishing date 2021-04-27
    Publishing country United States
    Document type Editorial
    ISSN 2543-6368
    ISSN (online) 2543-6368
    DOI 10.1097/BS9.0000000000000070
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Association between digital engagement and urban-rural disparities in Chinese women's depressive symptoms: A national-level cross-sectional study.

    Wang, Xiaochen / Wang, Yangyang

    Digital health

    2024  Volume 10, Page(s) 20552076241239246

    Abstract: Objectives: This study aims to investigate the impact of digital engagement on urban-rural disparities in depressive symptoms among Chinese women.: Methods: Using a dataset from the China Family Panel Studies (CFPS) wave 2020, this study analyzes the ...

    Abstract Objectives: This study aims to investigate the impact of digital engagement on urban-rural disparities in depressive symptoms among Chinese women.
    Methods: Using a dataset from the China Family Panel Studies (CFPS) wave 2020, this study analyzes the impact of digital engagement on the urban-rural disparity in women's depressive symptoms using multiple linear regression and recentered influence function (RIF) models. Furthermore, the extent to which digital engagement affects the urban-rural disparity in women's depressive symptoms was calculated using the RIF decomposition method.
    Results: Analysis showed that rural women had significantly higher levels of depressive symptoms compared to urban women; digital engagement significantly reduced women's depressive symptoms levels and mitigated the urban-rural disparity for women with moderate to high levels of depressive symptoms, and the mitigating effect was stronger for the highly depressed sample, but still widened the urban-rural disparity in women's depressive symptoms overall. In addition, the results of the RIF decomposition showed that digital engagement explained 28.28% of the urban-rural disparity in women's depressive symptoms.
    Conclusion: There is a significant disparity in depressive symptoms levels between urban and rural women in China. Digital engagement reduces women's depressive symptoms, but it also widens the depressive symptoms disparity between urban and rural women overall. Digital engagement is potentially positive for reducing women's depressive symptoms.
    Language English
    Publishing date 2024-04-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2819396-9
    ISSN 2055-2076
    ISSN 2055-2076
    DOI 10.1177/20552076241239246
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Multimedia fate simulation of mercury in a coastal urban area based on the fugacity/aquivalence method.

    Sun, Chang / Wang, Xiaochen / Qiao, Xianliang

    The Science of the total environment

    2024  Volume 915, Page(s) 170084

    Abstract: Due to intensive industrial production and living activities, urban areas are the main anthropogenic mercury (Hg) emission sources. After entering the environment through exhaust gases, wastewater or waste residues, Hg can migrate and transform among ... ...

    Abstract Due to intensive industrial production and living activities, urban areas are the main anthropogenic mercury (Hg) emission sources. After entering the environment through exhaust gases, wastewater or waste residues, Hg can migrate and transform among different environmental compartments in various species, such as elemental mercury (Hg
    Language English
    Publishing date 2024-01-13
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2024.170084
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 949: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  6. Article ; Online: The eighth International Forum on Stem Cells: virtual meeting, October 20-21, 2022.

    Eyden, Brian / Wang, Xiaochen

    Blood science (Baltimore, Md.)

    2022  Volume 5, Issue 1, Page(s) 66–72

    Language English
    Publishing date 2022-12-27
    Publishing country United States
    Document type Journal Article
    ISSN 2543-6368
    ISSN (online) 2543-6368
    DOI 10.1097/BS9.0000000000000147
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Voice Recognition and Evaluation of Vocal Music Based on Neural Network.

    Wang, Xiaochen / Wang, Tao

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 3466987

    Abstract: Artistic voice is the artistic life of professional voice users. In the process of selecting and cultivating artistic performing talents, the evaluation of voice even occupies a very important position. Therefore, an appropriate evaluation of the ... ...

    Abstract Artistic voice is the artistic life of professional voice users. In the process of selecting and cultivating artistic performing talents, the evaluation of voice even occupies a very important position. Therefore, an appropriate evaluation of the artistic voice is crucial. With the development of art education, how to scientifically evaluate artistic voice training methods and fairly select artistic voice talents is an urgent need for objective evaluation of artistic voice. The current evaluation methods for artistic voices are time-consuming, laborious, and highly subjective. In the objective evaluation of artistic voice, the selection of evaluation acoustic parameters is very important. Attempt to extract the average energy, average frequency error, and average range error of singing voice by using speech analysis technology as the objective evaluation acoustic parameters, use neural network method to objectively evaluate the singing quality of artistic voice, and compare with the subjective evaluation of senior professional teachers. In this paper, voice analysis technology is used to extract the first formant, third formant, fundamental frequency, sound range, fundamental frequency perturbation, first formant perturbation, third formant perturbation, and average energy of singing acoustic parameters. By using BP neural network methods, the quality of singing was evaluated objectively and compared with the subjective evaluation of senior vocal professional teachers. The results show that the BP neural network method can accurately and objectively evaluate the quality of singing voice by using the evaluation parameters, which is helpful in scientifically guiding the selection and training of artistic voice talents.
    MeSH term(s) Humans ; Music ; Neural Networks, Computer ; Voice Quality ; Voice Recognition ; Voice Training
    Language English
    Publishing date 2022-05-20
    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 10.1155/2022/3466987
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: RNPS1 stabilizes NAT10 protein to facilitate translation in cancer via tRNA ac

    Wang, Xiaochen / Ling, Rongsong / Peng, Yurong / Qiu, Weiqiong / Chen, Demeng

    International journal of oral science

    2024  Volume 16, Issue 1, Page(s) 6

    Abstract: Existing studies have underscored the pivotal role of N-acetyltransferase 10 (NAT10) in various cancers. However, the outcomes of protein-protein interactions between NAT10 and its protein partners in head and neck squamous cell carcinoma (HNSCC) remain ... ...

    Abstract Existing studies have underscored the pivotal role of N-acetyltransferase 10 (NAT10) in various cancers. However, the outcomes of protein-protein interactions between NAT10 and its protein partners in head and neck squamous cell carcinoma (HNSCC) remain unexplored. In this study, we identified a significant upregulation of RNA-binding protein with serine-rich domain 1 (RNPS1) in HNSCC, where RNPS1 inhibits the ubiquitination degradation of NAT10 by E3 ubiquitin ligase, zinc finger SWIM domain-containing protein 6 (ZSWIM6), through direct protein interaction, thereby promoting high NAT10 expression in HNSCC. This upregulated NAT10 stability mediates the enhancement of specific tRNA ac
    MeSH term(s) Humans ; DNA-Binding Proteins ; Head and Neck Neoplasms/genetics ; N-Terminal Acetyltransferases ; RNA, Transfer ; Serine ; Signal Transduction ; Squamous Cell Carcinoma of Head and Neck
    Chemical Substances DNA-Binding Proteins ; N-Terminal Acetyltransferases (EC 2.3.1.88) ; NAT10 protein, human (EC 2.3.1.88) ; RNA, Transfer (9014-25-9) ; Serine (452VLY9402) ; ZSWIM6 protein, human ; RNPS1 protein, human
    Language English
    Publishing date 2024-01-22
    Publishing country India
    Document type Journal Article
    ZDB-ID 2569849-7
    ISSN 2049-3169 ; 1674-2818
    ISSN (online) 2049-3169
    ISSN 1674-2818
    DOI 10.1038/s41368-023-00276-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Predicting mechanical properties lower upper bound for cold-rolling strip by machine learning-based artificial intelligence.

    Li, Jingdong / Wang, Xiaochen / Zhao, Jianwei / Yang, Quan / Qie, Haotang

    ISA transactions

    2024  Volume 147, Page(s) 328–336

    Abstract: The mechanical properties serve as crucial quality indicators for cold-rolled strips. For a long time, the mechanical properties mechanism and data-driven models can't comprehensively consider sufficient factors to achieve high-accuracy prediction due to ...

    Abstract The mechanical properties serve as crucial quality indicators for cold-rolled strips. For a long time, the mechanical properties mechanism and data-driven models can't comprehensively consider sufficient factors to achieve high-accuracy prediction due to the "data-isolated island" between production lines. In this research, we introduce a multi-process collaborative platform based on the industrial internet system. This platform is designed to enable real-time collection of diverse and heterogeneous data from both upstream and downstream processes of cold rolling. On this basis, a novel mechanical properties interval prediction model is proposed using the sparrow search algorithm to optimize fast learning network under the LUBE framework. We trained the model by using a dataset collected from a large steel plant. Based on the rolling theory and Pearson correlation coefficient, 25 features are selected as the inputs of the prediction model. The experimental results and comparison show that the proposed model is feasible and outperforms other machine learning models, such as the artificial bee colony algorithm optimized extreme learning machine and back propagation neural network model.
    Language English
    Publishing date 2024-01-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2012746-7
    ISSN 1879-2022 ; 0019-0578
    ISSN (online) 1879-2022
    ISSN 0019-0578
    DOI 10.1016/j.isatra.2024.01.028
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Incidence Rate of Secondary Glaucoma Following Congenital Cataract Surgery: An In-Depth Systematic Review and Meta-Analysis.

    Li, Li / Wang, Xi / Liu, Changyang / Wang, Shuai / Wang, Xiaochen

    American journal of ophthalmology

    2024  

    Abstract: Purpose: To assess the incidence of secondary glaucoma in children following congenital cataract surgery.: Design: Systematic review and meta-analysis.: Methods: The PubMed, Embase, Cochrane Library, and Web of Science databases were searched from ...

    Abstract Purpose: To assess the incidence of secondary glaucoma in children following congenital cataract surgery.
    Design: Systematic review and meta-analysis.
    Methods: The PubMed, Embase, Cochrane Library, and Web of Science databases were searched from inception through March 16, 2023. Studies reporting congenital cataract surgery and glaucoma were enrolled. The quality of the selected studies was assessed using the Newcastle Ottawa Scale, and data analysis was executed utilizing R software.
    Results: A total of 36 published studies with 3,151 patients (4,717 eyes) were included in the analysis. The incidence rate of glaucoma following congenital cataract surgery was 6.6% (95% CI: 3.9%, 9.9%). The incidence of secondary glaucoma in the primary intraocular lens (IOL) implantation group [3.3% (95% CI: 1.5%, 5.8%)] and the secondary IOL implantation group [3.5% (95% CI: 0%, 11.4%)] were lower compared to the aphakia group [13.5% (95% CI: 7.7%, 20.6%)]. The incidence rate among children with congenital cataracts from Asia [6.9% (95% CI: 4.1%, 10.4%)] was higher than that in European children [0.9% (95% CI: 0%, 3.0%)] (p < 0.01). A correlation was identified between the age at cataract surgery and the incidence of secondary glaucoma (p = 0.0215).
    Conclusions: This meta-analysis found that the incidence of secondary glaucoma following congenital cataract surgery is approximately 6.6%. Children with IOL implantation exhibit a lower incidence of secondary glaucoma, with a lower incidence noted in European children compared to their Asian counterparts. The age at cataract surgery is an important risk factor to consider.
    Language English
    Publishing date 2024-04-26
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 80030-2
    ISSN 1879-1891 ; 0002-9394
    ISSN (online) 1879-1891
    ISSN 0002-9394
    DOI 10.1016/j.ajo.2024.04.021
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ul I Zs.39: Show issues Location:
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