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  1. Article ; Online: Single-Cell Nuclear Sequencing Atlas Revealed the Induction of Parkinson's Disease by RELN+ Neuron 3 and the Gene Regulatory Network of MSRA.

    Liu, Yin / Wu, Yun

    Current medicinal chemistry

    2024  

    Abstract: Aims: To determine the cell types that promoted the progression of Parkinson's disease (PD) using the substantia nigra in the brain tissues derived from patients with PD and normal controls.: Background: PD is an incurable neurodegenerative disease ... ...

    Abstract Aims: To determine the cell types that promoted the progression of Parkinson's disease (PD) using the substantia nigra in the brain tissues derived from patients with PD and normal controls.
    Background: PD is an incurable neurodegenerative disease that threatens the physical activity of the aging population, and the complex molecular mechanisms remain be comprehensively elucidated.
    Objective: To describe potential disease-promoting cell types in PD and to provide a theoretical basis.
    Methods: Single-cell nuclear sequencing data of nine PD samples and control samples from Gene Expression Omnibus (GEO) were included, and heterogeneous cell subpopulations in the substantia nigra were identified by annotation analysis. Potential pathogenic cell subpopulations of PD were determined based on the expression data of marker genes. Cell differentiation trajectories and communication networks were generated by Pseudotime trajectory analysis and cell communication analysis. Furthermore, single-- cell regulatory network inference and clustering (SCENIC) analysis was conducted to determine the regulatory network of transcription factor-target genes in PD.
    Results: Among the nine cell subpopulations classified, RELN+neuron 3 showed reduced abundance and dopamine secretion capacity in PD and was therefore considered as a promoter of PD pathogenesis and progression. The regulatory network of MSRA action was involved in the developmental process of cells in the central nervous system, indicating that MSRA and its targets might serve as potential therapeutic targets for PD. RELN+neuron 3 had two directions of differentiation, specifically, branch 1 exhibited a high apoptotic profile and branch 2 exhibited a high cell death profile. In addition, the intensity of EPHA and EPHB signaling was attenuated between RELN+neuron 3 and other cell subpopulations.
    Conclusion: To conclude, this study identified a subpopulation of RELN+neuron 3 cells with markedly reduced abundance in the brain substantia nigra in PD. The MSRA-involved gene regulatory networks was considered as a novel therapeutic network for PD.
    Language English
    Publishing date 2024-03-29
    Publishing country United Arab Emirates
    Document type Journal Article
    ZDB-ID 1319315-6
    ISSN 1875-533X ; 0929-8673
    ISSN (online) 1875-533X
    ISSN 0929-8673
    DOI 10.2174/0109298673289286240322041842
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 4432: Show issues Location:
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  2. Article ; Online: Predicting the multivariate zero-inflated counts: A novel model averaging method under Pearson loss.

    Liu, Yin / Gao, Ziwen

    Statistics in medicine

    2024  

    Abstract: Excessive zeros in multivariate count data are often observed in scenarios of biomedicine and public health. To provide a better analysis on this type of data, we first develop a marginalized multivariate zero-inflated Poisson (MZIP) regression model to ... ...

    Abstract Excessive zeros in multivariate count data are often observed in scenarios of biomedicine and public health. To provide a better analysis on this type of data, we first develop a marginalized multivariate zero-inflated Poisson (MZIP) regression model to directly interpret the overall exposure effects on marginal means. Then, we define a multiple Pearson residual for our newly developed MZIP regression model by simultaneously taking heterogeneity and correlation into consideration. Furthermore, a new model averaging prediction method is introduced based on the multiple Pearson residual, and the asymptotical optimality of this model averaging prediction is proved. Simulations and two empirical applications in medicine are used to illustrate the effectiveness of the proposed method.
    Language English
    Publishing date 2024-03-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 843037-8
    ISSN 1097-0258 ; 0277-6715
    ISSN (online) 1097-0258
    ISSN 0277-6715
    DOI 10.1002/sim.10052
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1756: Show issues Location:
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  3. Article ; Online: Developments of specialized pro-resolving mediators in periodontitis.

    Liu, Yin-Chen

    Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology

    2021  Volume 39, Issue 1, Page(s) 94–98

    Abstract: Resolution of inflammation plays an important part in maintaining homeostasis. It is an actively programmed progress involving multiple immune cells and mediators. Specialized pro-resolving mediators (SPMs) derived from Ω-3 polyunsaturated fatty acids ... ...

    Abstract Resolution of inflammation plays an important part in maintaining homeostasis. It is an actively programmed progress involving multiple immune cells and mediators. Specialized pro-resolving mediators (SPMs) derived from Ω-3 polyunsaturated fatty acids include resolvins, protectins and maresins, and they exert abilities in the resolution of inflammation, host defense, organ protection, and tissue generation. Periodontitis is an inflammatory and destructive disease in the periodontal tissue initiated by dental plaque. Inadequate proinflammatory or proresolving responses, or the imbalance between the two, may contribute to the pathogenesis of the disease. Studies have shown that activating specialized receptors SPMs displayed multiple biological effects towards periodontitis, including resolution of inflammation, alveolar bone protection, periodontal tissue regeneration, and pathogen resistance. Thus, the relationship between SPM and periodontitis and the potentials and challenges in SPM application were reviewed.
    MeSH term(s) Fatty Acids, Omega-3 ; Homeostasis ; Humans ; Inflammation ; Inflammation Mediators ; Periodontitis
    Chemical Substances Fatty Acids, Omega-3 ; Inflammation Mediators
    Language Chinese
    Publishing date 2021-03-15
    Publishing country China
    Document type Journal Article
    ZDB-ID 1202342-5
    ISSN 2618-0456 ; 1000-1182
    ISSN (online) 2618-0456
    ISSN 1000-1182
    DOI 10.7518/hxkq.2021.01.014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 4073: Show issues Location:
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  4. Article ; Online: The impact of environmental regulation on farmers' income: an empirical examination based on different sources of income.

    Chen, Kai / Liu, Yin

    Environmental science and pollution research international

    2023  Volume 30, Issue 46, Page(s) 103244–103258

    Abstract: This study uses Chinese rural household data to examine the relationship between environmental regulation and farmers' income. The study found that environmental regulation has the most apparent promotion effect on farmers' agricultural production income. ...

    Abstract This study uses Chinese rural household data to examine the relationship between environmental regulation and farmers' income. The study found that environmental regulation has the most apparent promotion effect on farmers' agricultural production income. However, the effects on self-employment and non-farm employment are insignificant. In addition, the increase in agricultural green total factor productivity is a channel for environmental regulation to promote agricultural production income. The stronger the farmers' awareness of environmental protection, the more significant the effect of environmental regulation on agricultural production income increase. In China, the effect of environmental regulations on farmers' income from agricultural production is most significant in the central region, followed by the eastern region. In the western region, environmental regulations do not affect agricultural production income. Finally, we discuss the different impacts of industrial and agricultural environmental regulations on farmers' income. Results show that agricultural environmental regulation affects agricultural production income. By contrast, industrial environmental regulations affect farmers' self-employment and non-farm income.
    Language English
    Publishing date 2023-09-09
    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/s11356-023-29708-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: [Clinical analysis of adenoid surgery in infancy].

    Yang, Na / Liu, Yin

    Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology, head, and neck surgery

    2023  Volume 35, Issue 1, Page(s) 42–43

    Abstract: Objective: ...

    Abstract Objective:
    MeSH term(s) Adenoids/surgery ; Child ; Humans ; Hypertrophy/surgery ; Infant ; Mouth Breathing ; Palatine Tonsil ; Snoring
    Language Chinese
    Publishing date 2023-01-05
    Publishing country China
    Document type Journal Article
    ISSN 2096-7993
    ISSN 2096-7993
    DOI 10.13201/j.issn.2096-7993.2021.01.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Deep Learning Models for Predicting Hearing Thresholds Based on Swept-Tone Stimulus-Frequency Otoacoustic Emissions.

    Liu, Yin / Gong, Qin

    Ear and hearing

    2023  Volume 45, Issue 2, Page(s) 465–475

    Abstract: Objectives: This study aims to develop deep learning (DL) models for the quantitative prediction of hearing thresholds based on stimulus-frequency otoacoustic emissions (SFOAEs) evoked by swept tones.: Design: A total of 174 ears with normal hearing ... ...

    Abstract Objectives: This study aims to develop deep learning (DL) models for the quantitative prediction of hearing thresholds based on stimulus-frequency otoacoustic emissions (SFOAEs) evoked by swept tones.
    Design: A total of 174 ears with normal hearing and 388 ears with sensorineural hearing loss were studied. SFOAEs in the 0.3 to 4.3 kHz frequency range were recorded using linearly swept tones at a rate of 2 Hz/msec, with stimulus level changing from 40 to 60 dB SPL in 10 dB steps. Four DL models were used to predict hearing thresholds at octave frequencies from 0.5 to 4 kHz. The models-a conventional convolutional neural network (CNN), a hybrid CNN-k-nearest neighbor (KNN), a hybrid CNN-support vector machine (SVM), and a hybrid CNN-random forest (RF)-were individually built for each frequency. The input to the DL models was the measured raw SFOAE amplitude spectra and their corresponding signal to noise ratio spectra. All DL models shared a CNN-based feature self-extractor. They differed in that the conventional CNN utilized a fully connected layer to make the final regression decision, whereas the hybrid CNN-KNN, CNN-SVM, and CNN-RF models were designed by replacing the last fully connected layer of CNN model with a traditional machine learning (ML) regressor, that is, KNN, SVM, and RF, respectively. The model performance was evaluated using mean absolute error and SE averaged over 20 repetitions of 5 × 5 fold nested cross-validation. The performance of the proposed DL models was compared with two types of traditional ML models.
    Results: The proposed SFOAE-based DL models resulted in an optimal mean absolute error of 5.98, 5.22, 5.51, and 6.06 dB at 0.5, 1, 2, and 4 kHz, respectively, superior to that obtained by the traditional ML models. The produced SEs were 8.55, 7.27, 7.58, and 7.95 dB at 0.5, 1, 2, and 4 kHz, respectively. All the DL models outperformed any of the traditional ML models.
    Conclusions: The proposed swept-tone SFOAE-based DL models were capable of quantitatively predicting hearing thresholds with satisfactory performance. With DL techniques, the underlying relationship between SFOAEs and hearing thresholds at disparate frequencies was explored and captured, potentially improving the diagnostic value of SFOAEs.
    MeSH term(s) Humans ; Deep Learning ; Hearing ; Otoacoustic Emissions, Spontaneous/physiology ; Hearing Loss, Sensorineural/diagnosis ; Hearing Tests/methods ; Auditory Threshold/physiology ; Acoustic Stimulation/methods ; Cochlea/physiology
    Language English
    Publishing date 2023-11-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 603093-2
    ISSN 1538-4667 ; 0196-0202
    ISSN (online) 1538-4667
    ISSN 0196-0202
    DOI 10.1097/AUD.0000000000001443
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1548: Show issues Location:
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  7. Article: Red Cell Distribution Width and Futile Recanalization in Individuals with Acute Ischemic Stroke following Endovascular Treatment.

    Wang, Zhengyang / Liu, Yin

    Journal of integrative neuroscience

    2023  Volume 22, Issue 3, Page(s) 78

    Abstract: Background: Previous studies reported that red cell distribution width (RDW) was related to acute ischemic stroke (AIS). Endovascular treatment (EVT) still faces a huge challenge: futile recanalization. The goal of our study was to investigate the ... ...

    Abstract Background: Previous studies reported that red cell distribution width (RDW) was related to acute ischemic stroke (AIS). Endovascular treatment (EVT) still faces a huge challenge: futile recanalization. The goal of our study was to investigate the relationship between futile recanalization and RDW in AIS patients receiving EVT.
    Methods: We retrospectively identified 188 AIS individuals with anterior circulation occlusion throughout EVT and obtained complete or near-total recanalization. The subjects were classified into futile recanalization group by their 3-month modified Rankin scale (mRS) score ≥3. The predictive value of RDW was calculated using receiver operating characteristic (ROC) curves, area under the curve (AUC) values, and logistic regression approaches.
    Results: One hundred and eleven (59.0%) patients were defined as futile recanalization. The RDW was observed as an novel factor of futile recanalization in the multivariate regression model ([OR, odd-ratio] = 5.233, 95% [CI, confidence interval] = 2.656-10.307;
    Conclusions: Higher RDW is associated with poor functional outcome in anterior circulation AIS patients undergoing EVT at 3 months.
    MeSH term(s) Humans ; Ischemic Stroke/surgery ; Ischemic Stroke/complications ; Stroke/surgery ; Stroke/complications ; Erythrocyte Indices ; Retrospective Studies ; Medical Futility ; Treatment Outcome
    Language English
    Publishing date 2023-05-23
    Publishing country Singapore
    Document type Journal Article
    ZDB-ID 2136427-8
    ISSN 0219-6352
    ISSN 0219-6352
    DOI 10.31083/j.jin2203078
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6117: Show issues Location:
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  8. Article ; Online: miTDS: Uncovering miRNA-mRNA interactions with deep learning for functional target prediction.

    Zhang, Jialin / Zhu, Haoran / Liu, Yin / Li, Xiangtao

    Methods (San Diego, Calif.)

    2024  Volume 223, Page(s) 65–74

    Abstract: MicroRNAs (miRNAs) are vital in regulating gene expression through binding to specific target sites on messenger RNAs (mRNAs), a process closely tied to cancer pathogenesis. Identifying miRNA functional targets is essential but challenging, due to ... ...

    Abstract MicroRNAs (miRNAs) are vital in regulating gene expression through binding to specific target sites on messenger RNAs (mRNAs), a process closely tied to cancer pathogenesis. Identifying miRNA functional targets is essential but challenging, due to incomplete genome annotation and an emphasis on known miRNA-mRNA interactions, restricting predictions of unknown ones. To address those challenges, we have developed a deep learning model based on miRNA functional target identification, named miTDS, to investigate miRNA-mRNA interactions. miTDS first employs a scoring mechanism to eliminate unstable sequence pairs and then utilizes a dynamic word embedding model based on the transformer architecture, enabling a comprehensive analysis of miRNA-mRNA interaction sites by harnessing the global contextual associations of each nucleotide. On this basis, miTDS fuses extended seed alignment representations learned in the multi-scale attention mechanism module with dynamic semantic representations extracted in the RNA-based dual-path module, which can further elucidate and predict miRNA and mRNA functions and interactions. To validate the effectiveness of miTDS, we conducted a thorough comparison with state-of-the-art miRNA-mRNA functional target prediction methods. The evaluation, performed on a dataset cross-referenced with entries from MirTarbase and Diana-TarBase, revealed that miTDS surpasses current methods in accurately predicting functional targets. In addition, our model exhibited proficiency in identifying A-to-I RNA editing sites, which represents an aberrant interaction that yields valuable insights into the suppression of cancerous processes.
    MeSH term(s) MicroRNAs/genetics ; RNA, Messenger/genetics ; Deep Learning ; Nucleotides ; RNA Editing
    Chemical Substances MicroRNAs ; RNA, Messenger ; Nucleotides
    Language English
    Publishing date 2024-01-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1066584-5
    ISSN 1095-9130 ; 1046-2023
    ISSN (online) 1095-9130
    ISSN 1046-2023
    DOI 10.1016/j.ymeth.2024.01.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 3239: Show issues Location:
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  9. Article ; Online: Research on Quality Evaluation of Product Interactive Aging Design Based on Kano Model.

    Liu, Yin / Wang, Weiwei

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 3869087

    Abstract: At present, China's population aging presents the characteristics of large base, fast aging process, and old age, but the research and development of product aging design in China is relatively late, which brings additional pressure to the daily life of ... ...

    Abstract At present, China's population aging presents the characteristics of large base, fast aging process, and old age, but the research and development of product aging design in China is relatively late, which brings additional pressure to the daily life of the elderly. In such an environment, higher requirements are put forward for product aging design and service provision. Only products or services that timely meet the personalized and diversified needs of different customers can attract customers and improve customer satisfaction. How to design aging products with satisfactory appearance and humanized function is the focus of current research. Based on the product quality division of Kano model, this paper summarizes the domestic mainstream products and their functions. The designed questionnaire data are summarized; reliability and validity analysis, as well as descriptive statistical analysis, is performed on this basis for the constructed product service quality evaluation system. The service quality indicators are divided into three categories according to the Kano model: overall one-dimensional quality, charm quality, and necessary quality.
    MeSH term(s) Aged ; Aging ; Consumer Behavior ; Humans ; Nigeria ; Reproducibility of Results ; Surveys and Questionnaires
    Language English
    Publishing date 2022-01-31
    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 10.1155/2022/3869087
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Influence of digital finance and green technology innovation on China's carbon emission efficiency: Empirical analysis based on spatial metrology.

    Zhang, Minglong / Liu, Yin

    The Science of the total environment

    2022  Volume 838, Issue Pt 3, Page(s) 156463

    Abstract: The carbon emission efficiency can be employed to estimate the reduction of carbon emissions and sustainable economic development. Carbon emission efficiency is believed to be affected significantly by green technology innovation. In terms of promoting ... ...

    Abstract The carbon emission efficiency can be employed to estimate the reduction of carbon emissions and sustainable economic development. Carbon emission efficiency is believed to be affected significantly by green technology innovation. In terms of promoting green technology innovation, digital finance enhances the contribution of traditional finance due to its information-based nature. Then, exploring how digital finance and green technology innovation affect carbon emission efficiency will assist in formulating effective policies. Employing the panel data of 285 city samples in China from 2011 to 2017, this study employed the improved NDDF (non-radial directional distance function) to calculate the urban carbon emission efficiency and applied the spatial econometric model to empirically analyze the impact of digital finance and green technology innovation on carbon emission efficiency. Empirical results demonstrate carbon emission efficiency has a significant spatial correlation, and neighboring cities have a spillover effect on local carbon emission efficiency. The synergistic effect of digital finance and green technological innovation plays a significant role in promoting local carbon emission efficiency but suppresses carbon emission efficiency in surrounding cities to some extent. Additionally, the synergy varies based on the city's carbon emission efficiency. Consequently, China should strengthen the integration of digital finance and green technology, and formulate supporting policies and measures according to local conditions to improve the urban carbon emission efficiency, so as to provide the theoretical basis and practical experience for achieving China's goal of "carbon neutralization".
    MeSH term(s) Carbon/analysis ; Carbon Dioxide/analysis ; China ; Economic Development ; Efficiency ; Inventions ; Technology
    Chemical Substances Carbon Dioxide (142M471B3J) ; Carbon (7440-44-0)
    Language English
    Publishing date 2022-06-02
    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.2022.156463
    Database MEDical Literature Analysis and Retrieval System OnLINE

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