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  1. Article: Recent research on the influence of intrauterine growth restriction on the structure and function of the nervous system.

    Zhang, Yi-Jia

    Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics

    2022  Volume 23, Issue 11, Page(s) 1184–1189

    Abstract: Intrauterine growth restriction (IUGR) is caused by many factors, and most newborns with IUGR are small for gestational age (SGA). SGA infants have a relatively high risk of death and disease in the perinatal period, and the nervous system already has ... ...

    Title translation 宫内生长受限对神经系统结构和功能影响的研究进展.
    Abstract Intrauterine growth restriction (IUGR) is caused by many factors, and most newborns with IUGR are small for gestational age (SGA). SGA infants have a relatively high risk of death and disease in the perinatal period, and the nervous system already has structural changes in the uterus, including the reduction of brain volume and gray matter volume, accompanied by abnormal imaging and pathological changes. IUGR fetuses undergo intrauterine blood flow redistribution to protect brain blood supply, and there are still controversies over the clinical effect of brain protection mechanism. SGA infants have a relatively high risk of abnormal cognitive, motor, language, and behavioral functions in the neonatal period and childhood, and preterm infants tend to have a higher degree of neurological impairment than full-term infants. Early intervention may help to improve the function of the nervous system.
    MeSH term(s) Brain ; Child ; Female ; Fetal Growth Retardation ; Gestational Age ; Humans ; Infant ; Infant, Newborn ; Infant, Premature ; Infant, Small for Gestational Age ; Pregnancy
    Language Chinese
    Publishing date 2022-01-27
    Publishing country China
    Document type Journal Article
    ISSN 1008-8830
    ISSN 1008-8830
    DOI 10.7499/j.issn.1008-8830.2108044
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Be the mother, not the daughter: Immigrant Chinese women, postpartum care knowledge, and mothering autonomy.

    Zhang, Yijia / Hanser, Amy

    Sociology of health & illness

    2023  Volume 45, Issue 5, Page(s) 1028–1045

    Abstract: Scholars have documented the transformation of modern motherhood, as mothering practices have been a target of medical knowledge that comes to define correct modes of conduct for women caring for their pregnant bodies, undergoing childbirth and ... ...

    Abstract Scholars have documented the transformation of modern motherhood, as mothering practices have been a target of medical knowledge that comes to define correct modes of conduct for women caring for their pregnant bodies, undergoing childbirth and childrearing. Such accounts usually set scientific knowledge and medical authority in opposition to women's autonomy. Drawing on the interviews with immigrant Chinese mothers in Canada, we offer a different account of knowledge and agency in new motherhood. These women's often-intense experiences of intergenerational care-giving associated with the practice of zuo yuezi reveal a more fluid relationship between medical authority and mothering agency. We find that the central tension during the postpartum experience lies in intergenerational and family relationships. In this context, new mothers draw on alternative sources of knowledge-and medical professionals are one such key source-to demonstrate within the family their competence to make care decisions for themselves and their babies. These women's use of medical knowledge to counter a familial and intergenerational authority complicates dominant accounts about medicalisation, demonstrating that women's relationship to medical knowledge and authority maybe be far more fluid and complex than a standard account of medicalisation and loss of women's agency would predict.
    MeSH term(s) Pregnancy ; Infant ; Female ; Humans ; Mothers ; Nuclear Family ; East Asian People ; Postpartum Period ; Emigrants and Immigrants
    Language English
    Publishing date 2023-03-13
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 795552-2
    ISSN 1467-9566 ; 0141-9889
    ISSN (online) 1467-9566
    ISSN 0141-9889
    DOI 10.1111/1467-9566.13631
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  3. Article ; Online: Temporal Protein Complex Identification Based on Dynamic Heterogeneous Protein Information Network Representation Learning.

    Li, Zeqian / Zhang, Yijia / Zhou, Peixuan

    IEEE/ACM transactions on computational biology and bioinformatics

    2024  Volume PP

    Abstract: Protein complexes, as the fundamental units of cellular function and regulation, play a crucial role in understanding the normal physiological functions of cells. Existing methods for protein complex identification attempt to introduce other biological ... ...

    Abstract Protein complexes, as the fundamental units of cellular function and regulation, play a crucial role in understanding the normal physiological functions of cells. Existing methods for protein complex identification attempt to introduce other biological information on top of the protein-protein interaction (PPI) network to assist in evaluating the degree of association between proteins. However, these methods usually treat protein interaction networks as flat homogeneous static networks. They cannot distinguish the roles and importance of different types of biological information, nor can they reflect the dynamic changes of protein complexes. In recent years, heterogeneous network representation learning has achieved great success in processing complex heterogeneous information and mining deep semantics. We thus propose a temporal protein complex identification method based on Dynamic Heterogeneous Protein information network Representation Learning, DHPRL. DHPRL naturally integrates multiple types of heterogeneous biological information in the cellular temporal dimension. It simultaneously models the temporal dynamic properties of proteins and the heterogeneity of biological information to improve the understanding of protein interactions and the accuracy of complex prediction. Firstly, we construct Dynamic Heterogeneous Protein Information Network (DHPIN) by integrating temporal gene expression information and GO attribute information. Then we design a dual-view collaborative contrast mechanism. Specifically, proposing to learn protein representations from two views of DHPIN (1-hop relation view and meta-path view) to model the consistency and specificity between nearest-neighbour bio information and deeper biological semantics. The dynamic PPI network is thereafter re-weighted based on the learned protein representations. Finally, we perform protein identification on the re-weighted dynamic PPI network. Extensive experimental results demonstrate that DHPRL can effectively model complicated biological information and achieve state-of-the-art performance in most cases. The source code and datasets for DHPR are available at https://github.com/LI-jasm/DHPRL.
    Language English
    Publishing date 2024-01-08
    Publishing country United States
    Document type Journal Article
    ISSN 1557-9964
    ISSN (online) 1557-9964
    DOI 10.1109/TCBB.2024.3351078
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: SADR: Self-Supervised Graph Learning With Adaptive Denoising for Drug Repositioning.

    Jin, Sichen / Zhang, Yijia / Yu, Huimin / Lu, Mingyu

    IEEE/ACM transactions on computational biology and bioinformatics

    2024  Volume 21, Issue 2, Page(s) 265–277

    Abstract: Traditional drug development is often high-risk and time-consuming. A promising alternative is to reuse or relocate approved drugs. Recently, some methods based on graph representation learning have started to be used for drug repositioning. These models ...

    Abstract Traditional drug development is often high-risk and time-consuming. A promising alternative is to reuse or relocate approved drugs. Recently, some methods based on graph representation learning have started to be used for drug repositioning. These models learn the low dimensional embeddings of drug and disease nodes from the drug-disease interaction network to predict the potential association between drugs and diseases. However, these methods have strict requirements for the dataset, and if the dataset is sparse, the performance of these methods will be severely affected. At the same time, these methods have poor robustness to noise in the dataset. In response to the above challenges, we propose a drug repositioning model based on self-supervised graph learning with adptive denoising, called SADR. SADR uses data augmentation and contrastive learning strategies to learn feature representations of nodes, which can effectively solve the problems caused by sparse datasets. SADR includes an adaptive denoising training (ADT) component that can effectively identify noisy data during the training process and remove the impact of noise on the model. We have conducted comprehensive experiments on three datasets and have achieved better prediction accuracy compared to multiple baseline models. At the same time, we propose the top 10 new predictive approved drugs for treating two diseases. This demonstrates the ability of our model to identify potential drug candidates for disease indications.
    MeSH term(s) Drug Repositioning ; Drug Development
    Language English
    Publishing date 2024-04-03
    Publishing country United States
    Document type Journal Article
    ISSN 1557-9964
    ISSN (online) 1557-9964
    DOI 10.1109/TCBB.2024.3351079
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Letter to the Editor (Response from author): MeSH qualifiers, publication types and relation occurrence frequency are also useful for a better sentence-level extraction of biomedical relations.

    Zhang, Yijia

    Journal of biomedical informatics

    2018  Volume 83, Page(s) 219

    MeSH term(s) Data Mining ; Language ; Neural Networks, Computer ; Research Design ; Surgical Mesh
    Language English
    Publishing date 2018-06-14
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2057141-0
    ISSN 1532-0480 ; 1532-0464
    ISSN (online) 1532-0480
    ISSN 1532-0464
    DOI 10.1016/j.jbi.2018.06.009
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  6. Article ; Online: Understanding Gender Differences in Reasons for Using e-Cigarettes Is Important for Intervention.

    Kahe, Michelle / Zhang, Yijia

    Substance use & misuse

    2022  Volume 57, Issue 13, Page(s) 2008

    MeSH term(s) Humans ; Electronic Nicotine Delivery Systems ; Sex Factors ; Smoking Cessation ; Tobacco Use Disorder
    Language English
    Publishing date 2022-09-20
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 1310358-1
    ISSN 1532-2491 ; 1082-6084
    ISSN (online) 1532-2491
    ISSN 1082-6084
    DOI 10.1080/10826084.2022.2124877
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  7. Article: (Im)mobility and performance of emotions: Chinese international students' difficult journeys to home during the COVID-19 pandemic.

    He, Guanqin / Zhang, Yijia

    Mobile media & communication

    2022  Volume 11, Issue 2, Page(s) 248–270

    Abstract: This article examines mediated performances of emotions by Chinese international students in their transnational journeys returning to China during the COVID-19 pandemic with a focus on the role of mobile media in helping students cope with their cross- ... ...

    Abstract This article examines mediated performances of emotions by Chinese international students in their transnational journeys returning to China during the COVID-19 pandemic with a focus on the role of mobile media in helping students cope with their cross-border (im)mobility and symbolic immobility. By thematically analyzing 36 self-representational videos produced by returning Chinese students on a burgeoning mobile media platform Douyin, we identify 5 overarching themes of emotional performance: fear, pride, gratitude, shame, and solidarity. We propose that mobile media has the potential to create a hybrid space that witnesses and elicits empathy for the hardship experienced by marginalized mobile groups during the global pandemic. Mobile media, by enabling simultaneous communication, amplifies the sensation of belonging in times of isolation and ambiguity and offers dialogic venues for disparate groups across geographical and socioemotional distances. Our findings suggest the vulnerability of mobile communities in the event of a global pandemic, and the affordances of mobile media in confronting and resolving such precarity. We call attention to the intersections of mobile communities and mobile media amid the global pandemic, particularlyon the experiences and performances of emotions in hybrid spaces.
    Language English
    Publishing date 2022-10-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2686704-7
    ISSN 2050-1587 ; 2050-1579
    ISSN (online) 2050-1587
    ISSN 2050-1579
    DOI 10.1177/20501579221119585
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  8. Article ; Online: Inonotus obliquus sclerotia epidermis were different from internal tissues in compound composition, antioxidant activity, and associated fungi.

    Zhang, Yijia / Liu, Qiao / Sun, Yong / Jiang, Jihong

    FEMS microbiology letters

    2023  Volume 370

    Abstract: Inonotus obliquus is a medicinal fungus with potential for use in various health applications. To better utilize this fungus, this study focused on epidermis and internal tissues of five sclerotia from different regions in Jilin, Inner Mongolia, and ... ...

    Abstract Inonotus obliquus is a medicinal fungus with potential for use in various health applications. To better utilize this fungus, this study focused on epidermis and internal tissues of five sclerotia from different regions in Jilin, Inner Mongolia, and Heilongjiang, examining their polyphenols, polysaccharides, flavonoids, and total triterpenes contents. And evaluated the extracts from sclerotia for their total antioxidant capacity and scavenging ability of DPPH free radicals. The study also isolated the associated fungi from the epidermis and internal tissues of three sclerotia. Results revealed that the polyphenol content was higher in the epidermis than in internal tissue of every sclerotium. However, flavonoid and total triterpenoid content was lower in the epidermis of every sclerotium. The polysaccharide content was no significant in different parts of three sclerotia, but the epidermal polysaccharide content in two sclerotia was significantly higher than in internal tissues. The internal tissue extracts from tested sclerotia exhibited better scavenging ability of DPPH free radicals than those from the epidermis. There was no significant difference in total antioxidant capacity among different parts of three sclerotia, and the internal tissues' total antioxidant capacity in two sclerotia was higher than the epidermis. The number and species of associated fungi in the internal tissues were far less than that in the epidermis. The study suggests separating the epidermis and internal tissue for medicinal use. The research provides insights into the bioactive components and associated fungi of I. obliquus to inform its practical application in medicine.
    MeSH term(s) Antioxidants/chemistry ; Fungi ; Polyphenols ; Polysaccharides/chemistry ; Free Radicals ; Epidermis ; Basidiomycota
    Chemical Substances Antioxidants ; Polyphenols ; Polysaccharides ; Free Radicals
    Language English
    Publishing date 2023-11-28
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 752343-9
    ISSN 1574-6968 ; 0378-1097
    ISSN (online) 1574-6968
    ISSN 0378-1097
    DOI 10.1093/femsle/fnad126
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Cu

    Zhang, Yijia / Zhou, Shujie / Sun, Kaiwen

    Nanomaterials (Basel, Switzerland)

    2023  Volume 13, Issue 20

    Abstract: Massive emissions of carbon dioxide ( ... ...

    Abstract Massive emissions of carbon dioxide (CO
    Language English
    Publishing date 2023-10-15
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662255-5
    ISSN 2079-4991
    ISSN 2079-4991
    DOI 10.3390/nano13202762
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  10. Article ; Online: Comment to: Soy isoflavone intake and prevalence of depressive symptoms during pregnancy in Japan: baseline data from the Kyushu Okinawa Maternal and Child Health Study.

    Zhang, Yijia

    European journal of nutrition

    2017  Volume 56, Issue 4, Page(s) 1785

    Language English
    Publishing date 2017-06
    Publishing country Germany
    Document type Letter
    ZDB-ID 1466536-0
    ISSN 1436-6215 ; 1436-6207
    ISSN (online) 1436-6215
    ISSN 1436-6207
    DOI 10.1007/s00394-017-1426-y
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