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  1. Article: Enamel Structure Defects in

    Li, Pei / Zeng, Binghui / Xie, Weihong / Xiao, Xue / Lin, Ling / Yu, Dongsheng / Zhao, Wei

    Biomedicines

    2023  Volume 11, Issue 2

    Abstract: ... ...

    Abstract The
    Language English
    Publishing date 2023-02-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720867-9
    ISSN 2227-9059
    ISSN 2227-9059
    DOI 10.3390/biomedicines11020482
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Molecular Mechanism of Resistance to

    Zeng, Xianqi / Wu, Chao / Zhang, Lulu / Lan, Liming / Fu, Weihong / Wang, Sanhong

    International journal of molecular sciences

    2024  Volume 25, Issue 8

    Abstract: As a fruit tree with great economic value, apple is widely cultivated in China. However, apple leaf spot disease causes significant damage to apple quality and economic value. In our study, we found ... ...

    Abstract As a fruit tree with great economic value, apple is widely cultivated in China. However, apple leaf spot disease causes significant damage to apple quality and economic value. In our study, we found that
    MeSH term(s) Malus/microbiology ; Malus/genetics ; Malus/metabolism ; Alternative Splicing ; Disease Resistance/genetics ; Plant Diseases/microbiology ; Plant Diseases/genetics ; Plant Proteins/genetics ; Plant Proteins/metabolism ; Transcription Factors/genetics ; Transcription Factors/metabolism ; Alternaria/pathogenicity ; Alternaria/genetics ; Gene Expression Regulation, Plant ; Plant Leaves/microbiology ; Plant Leaves/genetics ; Plant Leaves/metabolism
    Chemical Substances Plant Proteins ; Transcription Factors
    Language English
    Publishing date 2024-04-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms25084353
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Information communication technology accessibility and mental health for older adults during the coronavirus disease in South Korea.

    Park, Sujin / Zeng, Weihong / Zhao, Pianpian / Tong, Yanke

    Frontiers in public health

    2023  Volume 11, Page(s) 1126900

    Abstract: Introduction: As society ages and the digital economy continues to develop, accessibility to information and communication technology (ICT) has emerged as a critical factor influencing the mental health of older adults. Particularly, in the aftermath of ...

    Abstract Introduction: As society ages and the digital economy continues to develop, accessibility to information and communication technology (ICT) has emerged as a critical factor influencing the mental health of older adults. Particularly, in the aftermath of the COVID-19 pandemic, the need for non-face-to-face communication has significantly increased older adults' reliance on ICT for accessibility. This transition from a self-motivated engagement to a more socially passive mode of interaction highlights the importance of creating a digitally inclusive aging society.
    Methods: This empirical study used pooled cross-sectional data from the Digital Gap Survey conducted in South Korea in 2018 and 2020. It aimed to analyze the association between ICT accessibility and the mental health of older adults during the COVID-19 pandemic.
    Results: A significant positive relationship was found between ICT and mental health among older adults in South Korea. However, this positive association weakened during the COVID-19 period. Furthermore, the analysis revealed heterogeneity among older adults by age, sex, and place of residence, with older females in their 70s living in rural areas experiencing the greatest weakening.
    Discussion: These results highlight the need for tailored interventions and support mechanisms for specific demographic groups of older adults. We recommend that the South Korean government implement various policies to facilitate the post-COVID-19 digital landscape. These include initiatives such as ICT-related education programs, development of user-friendly e-government systems, and creation of social media platforms designed to accommodate the needs and preferences of older adults.
    MeSH term(s) Female ; Humans ; Aged ; Mental Health ; Cross-Sectional Studies ; Pandemics ; Communication ; COVID-19/epidemiology ; Technology
    Language English
    Publishing date 2023-09-25
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2023.1126900
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Understanding multidimensional poverty in pakistan: implications for regional and demographic-specific policies.

    Saddique, Rashida / Zeng, Weihong / Zhao, Pianpian / Awan, Ashar

    Environmental science and pollution research international

    2023  

    Abstract: This study enriches the limited literature on multidimensional poverty by focusing on household demographic characteristics as determinants of household-specific living arrangements in Pakistan. The study employs the Alkire and Foster methodology to ... ...

    Abstract This study enriches the limited literature on multidimensional poverty by focusing on household demographic characteristics as determinants of household-specific living arrangements in Pakistan. The study employs the Alkire and Foster methodology to measure the multidimensional poverty index (MPI) using data drawn from the latest available nationally representative Household Integrated Economic Survey (HIES 2018-19). The analysis investigates multidimensional poverty levels among households in Pakistan according to various criteria (such as access to education and healthcare, basic living standards, and monetary status) and how they differ across Pakistan's regions and provinces. The results indicate that 22% of Pakistanis are multidimensionally poor in terms of health, education, basic living standards, and monetary status; and that multidimensional poverty is more common in rural areas and Balochistan. Furthermore, the logistic regression results show that households with more working-age people, employed women, and employed young people are less likely to be poor, whereas households with more dependents and children are more likely to be poor. This study recommends policies for addressing poverty that consider the needs of multidimensionally poor Pakistani households in various regions and with various demographic characteristics.
    Language English
    Publishing date 2023-06-06
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-28026-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A challenge of deep-learning-based object detection for hair follicle dataset.

    Lv, Wei / Chen, Tao / Zeng, Yifan / Liu, Weihong / Huang, Chuying

    Journal of cosmetic dermatology

    2023  Volume 22, Issue 9, Page(s) 2565–2578

    Abstract: Background: Deep-learning object detection has been applied in various industries, including healthcare, to address hair loss.: Methods: In this paper, YOLOv5 object detection algorithm was used to detect hair follicles in a small and specific image ... ...

    Abstract Background: Deep-learning object detection has been applied in various industries, including healthcare, to address hair loss.
    Methods: In this paper, YOLOv5 object detection algorithm was used to detect hair follicles in a small and specific image dataset collected using a specialized camera on the scalp of individuals with different ages, regions, and genders. The performance of YOLOv5 was compared with other popular object detection models.
    Results: YOLOv5 performed well in the detection of hair follicles, and the follicles were classified into five classes based on the number of hairs and the type of hair contained. In single-class object detection experiments, a smaller batch size and the smallest YOLOv5s model achieved the best results, with an map of 0.8151. In multiclass object detection experiments, the larger YOLOv5l model was able to achieve the best results, and batch size affected the result of model training.
    Conclusion: YOLOv5 is a promising algorithm for detecting hair follicles in a small and specific image dataset, and its performance is comparable to other popular object detection models. However, the challenges of small-scale data and sample imbalance need to be addressed to improve the performance of target detection algorithms.
    MeSH term(s) Female ; Humans ; Male ; Hair Follicle ; Deep Learning ; Hair ; Algorithms ; Alopecia/diagnostic imaging
    Language English
    Publishing date 2023-04-06
    Publishing country England
    Document type Journal Article
    ZDB-ID 2280551-5
    ISSN 1473-2165 ; 1473-2130
    ISSN (online) 1473-2165
    ISSN 1473-2130
    DOI 10.1111/jocd.15742
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: The polymorphisms of

    Xiong, Weihong / Li, Zhumei / Zeng, Xiangfa / Cui, Jun / Cheng, Zhiming / Yang, Xiaoying / Ding, Yipeng

    Frontiers in oncology

    2023  Volume 13, Page(s) 1100781

    Abstract: Background: Head and neck cancer (HNC) is the sixth most common malignant tumor worldwide and imposes a serious economic burden on society and individuals. Annexin has been implicated in multiple functions which are essential in HNC development, ... ...

    Abstract Background: Head and neck cancer (HNC) is the sixth most common malignant tumor worldwide and imposes a serious economic burden on society and individuals. Annexin has been implicated in multiple functions which are essential in HNC development, including cell proliferation, apoptosis, metastasis, and invasion. This study focused on the linkage between
    Methods: Eight SNPs in
    Results: Overall analysis results demonstrated that rs4958897 was correlated with an increased HNC risk (allele: OR = 1.41,
    Conclusions: Our findings suggest that
    Language English
    Publishing date 2023-03-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2023.1100781
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The multidimensional relative poverty of rural older adults in China and the effect of the health poverty alleviation policy.

    Zeng, Weihong / Zhao, Pianpian / Zhao, Yuan / Saddique, Rashida

    Frontiers in public health

    2022  Volume 10, Page(s) 793673

    Abstract: Introduction: Although, especially in the past decade, poverty measurement approaches have been duly developed in two paths (from unidimensional to multidimensional poverty and from absolute to relative poverty), merely a few studies have focused on the ...

    Abstract Introduction: Although, especially in the past decade, poverty measurement approaches have been duly developed in two paths (from unidimensional to multidimensional poverty and from absolute to relative poverty), merely a few studies have focused on the combination of both perspectives. However, with global aging, poverty among older adults simultaneously presents multidimensionality and relativity characteristics. This paper explores a multidimensional relative poverty index (MRPI) relative to the aged group in four dimensions, namely, health, social, mental, and material, and then empirically evaluates the specific effects on the MRPI of one of the key targeted anti-poverty policies, that is, the health poverty alleviation policy (HPAP), which includes public health service, medical expense reimbursement, rewarding assistance, basic medical insurance, and so on.
    Methods: Using pooled cross-sectional data of poverty alleviation from 2014 to 2020 with a total of 83,521 observations aged 60+ in County J, Shaanxi Province in China, we calculate the MRPI for the older adults
    Results: From 2014 to 2020, the MRPI shows a significant upward trend for older adults in rural China, and the health component takes the dominant MRPI position. Empirically, we find that the HPAP can significantly alleviate the MRPI of older adults. Furthermore, among the health poverty alleviation measures, basic medical insurance is the most effective anti-poverty policy to support older adults. Specifically, empirical evidence shows that there is a more statistically significant reduction in the MRPI with the HPAP for the sub-group of older adults with chronic diseases or disabilities.
    Conclusion: Both relativity and multidimensionality should be emphasized when analyzing poverty
    MeSH term(s) Aged ; China ; Cross-Sectional Studies ; Health Policy ; Humans ; Poverty ; Rural Population
    Language English
    Publishing date 2022-07-22
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2022.793673
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Causality of gut microbiome and hypertension: A bidirectional mendelian randomization study.

    Li, Yihui / Fu, Ru / Li, Ruixuan / Zeng, Jianwei / Liu, Tao / Li, Xiaogang / Jiang, Weihong

    Frontiers in cardiovascular medicine

    2023  Volume 10, Page(s) 1167346

    Abstract: Background & aims: The pathogenesis of hypertension involves a diverse range of genetic, environmental, hemodynamic, and more causative factors. Recent evidence points to an association between the gut microbiome and hypertension. Given that the ... ...

    Abstract Background & aims: The pathogenesis of hypertension involves a diverse range of genetic, environmental, hemodynamic, and more causative factors. Recent evidence points to an association between the gut microbiome and hypertension. Given that the microbiota is in part determined by host genetics, we used the two-sample Mendelian randomization (MR) analysis to address the bidirectional causal link between gut microbiota and hypertension.
    Methods: We selected genetic variants (
    Results: At the genus level, our MR estimates from gut microbiome to hypertension showed that there were 5 protective factors
    Conclusion: Altered gut microbiota is a causal factor in the development of hypertension, and hypertension causes imbalances in the intestinal flora. Substantial research is still needed to find the key gut flora and explore the specific mechanisms of their effects so that new biomarkers can be found for blood pressure control.
    Language English
    Publishing date 2023-05-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2781496-8
    ISSN 2297-055X
    ISSN 2297-055X
    DOI 10.3389/fcvm.2023.1167346
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  9. Article: Gut microbiome and reproductive endocrine diseases: a Mendelian randomization study.

    Liang, Ye / Zeng, Weihong / Hou, Tao / Yang, Haikun / Wu, Boming / Pan, Ru / Huang, Lishan

    Frontiers in endocrinology

    2023  Volume 14, Page(s) 1164186

    Abstract: Background: Observation studies have confirmed the association between the gut microbiome and reproductive endocrine diseases (REDs), namely, polycystic ovary syndrome (PCOS), endometriosis, and female infertility. However, their association has never ... ...

    Abstract Background: Observation studies have confirmed the association between the gut microbiome and reproductive endocrine diseases (REDs), namely, polycystic ovary syndrome (PCOS), endometriosis, and female infertility. However, their association has never been confirmed by a two-sample Mendelian randomization (MR) analysis.
    Methods: We conducted a two-sample MR analysis to evaluate the relationship between the gut microbiome and the three aforementioned REDs. In order to get more comprehensive results, two different thresholds were adopted to select instrumental variables (IVs): one was a locus-wide significance threshold (
    Results: At the locus-wide significance level, we identified that the genera Streptococcus (OR=1.52, 95%CI: 1.13-2.06,
    Conclusion: Our study provides evidence that gut microbiome is closely related with REDs. Subsequent studies should be conducted to promote microbiome-orientated therapeutic strategies for managing REDs.
    MeSH term(s) Female ; Humans ; Gastrointestinal Microbiome/genetics ; Endometriosis/genetics ; Infertility, Female/genetics ; Mendelian Randomization Analysis ; Polycystic Ovary Syndrome/genetics
    Language English
    Publishing date 2023-08-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2592084-4
    ISSN 1664-2392
    ISSN 1664-2392
    DOI 10.3389/fendo.2023.1164186
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Learning Rate Dropout.

    Lin, Huangxing / Zeng, Weihong / Zhuang, Yihong / Ding, Xinghao / Huang, Yue / Paisley, John

    IEEE transactions on neural networks and learning systems

    2023  Volume 34, Issue 11, Page(s) 9029–9039

    Abstract: Optimization algorithms are of great importance to efficiently and effectively train a deep neural network. However, the existing optimization algorithms show unsatisfactory convergence behavior, either slowly converging or not seeking to avoid bad local ...

    Abstract Optimization algorithms are of great importance to efficiently and effectively train a deep neural network. However, the existing optimization algorithms show unsatisfactory convergence behavior, either slowly converging or not seeking to avoid bad local optima. Learning rate dropout (LRD) is a new gradient descent technique to motivate faster convergence and better generalization. LRD aids the optimizer to actively explore in the parameter space by randomly dropping some learning rates (to 0); at each iteration, only parameters whose learning rate is not 0 are updated. Since LRD reduces the number of parameters to be updated for each iteration, the convergence becomes easier. For parameters that are not updated, their gradients are accumulated (e.g., momentum) by the optimizer for the next update. Accumulating multiple gradients at fixed parameter positions gives the optimizer more energy to escape from the saddle point and bad local optima. Experiments show that LRD is surprisingly effective in accelerating training while preventing overfitting.
    Language English
    Publishing date 2023-10-27
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2022.3155181
    Database MEDical Literature Analysis and Retrieval System OnLINE

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