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  1. Article: Effects of

    Fu, Hongjun / Wang, Liyuan / Gu, Jiahui / Peng, Xianglian / Zhao, Jian

    Foods (Basel, Switzerland)

    2024  Volume 13, Issue 4

    Abstract: In this work, we have developed a composite chitosan film incorporating ... ...

    Abstract In this work, we have developed a composite chitosan film incorporating the
    Language English
    Publishing date 2024-02-16
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704223-6
    ISSN 2304-8158
    ISSN 2304-8158
    DOI 10.3390/foods13040599
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  2. Article ; Online: Theoretical study on the role of magnesium chloride complexes induced by different magnesium-to-chlorine ratios in magnesium-sulfur batteries.

    Jiang, Xiaoli / Zhang, Panyu / Jiang, Liyuan / Zhao, Xinxin / Wu, Jianbao

    RSC advances

    2024  Volume 14, Issue 14, Page(s) 9668–9677

    Abstract: In magnesium-sulfur batteries, electrolyte exploration is vital for developing high-energy-density, safe, and reliable batteries. This study focused on cyclic THF and chain DME, representative solvents in ether electrolytes. ... ...

    Abstract In magnesium-sulfur batteries, electrolyte exploration is vital for developing high-energy-density, safe, and reliable batteries. This study focused on cyclic THF and chain DME, representative solvents in ether electrolytes. MgCl
    Language English
    Publishing date 2024-03-22
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d4ra00950a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Removal capacities and varying characteristics of substrates and microbial community structure in simultaneous sulfide and nitrate biological removal process'.

    Guo, Changzi / Shao, Liyuan / Zhao, Wanqin / Han, Yi / Zhang, Xuli

    Chemosphere

    2024  Volume 352, Page(s) 141518

    Abstract: Under the background of carbon neutrality, resource and energy utilization technologies have become the focus of future research. The paper investigated the removal efficiencies and varying characteristics of substrates and microbial community structure ... ...

    Abstract Under the background of carbon neutrality, resource and energy utilization technologies have become the focus of future research. The paper investigated the removal efficiencies and varying characteristics of substrates and microbial community structure in the simultaneous sulfide and nitrate biological removal (SSNBR) process. The results showed that the sulfide and nitrate removal loads reached 2.998 kg m
    MeSH term(s) Nitrates ; Sulfides ; Sulfur ; Microbiota ; Thiobacillus ; Bioreactors/microbiology ; Denitrification ; Nitrogen
    Chemical Substances Nitrates ; Sulfides ; Sulfur (70FD1KFU70) ; Nitrogen (N762921K75)
    Language English
    Publishing date 2024-02-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 120089-6
    ISSN 1879-1298 ; 0045-6535 ; 0366-7111
    ISSN (online) 1879-1298
    ISSN 0045-6535 ; 0366-7111
    DOI 10.1016/j.chemosphere.2024.141518
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2540: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (2.OG)
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  4. Article ; Online: Correction to: Correlation between the ablation ratio and posterior corneal stability after small incision lenticule extraction for high myopia.

    Yang, Liyuan / Liu, Shengtao / Zhou, Xingtao / Zhao, Yu

    Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie

    2023  Volume 261, Issue 7, Page(s) 2099

    Language English
    Publishing date 2023-03-20
    Publishing country Germany
    Document type Published Erratum
    ZDB-ID 8435-9
    ISSN 1435-702X ; 0721-832X
    ISSN (online) 1435-702X
    ISSN 0721-832X
    DOI 10.1007/s00417-023-06015-2
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  5. Article: Prediction of potential suitable habitats in the 21st century and GAP analysis of priority conservation areas of

    Wang, Yongji / Wu, Kefan / Zhao, Ruxia / Xie, Liyuan / Li, Yifan / Zhao, Guanghua / Zhang, Fen-Guo

    Frontiers in plant science

    2024  Volume 15, Page(s) 1304121

    Abstract: Chionanthus retusus (C. retusus) ...

    Abstract Chionanthus retusus (C. retusus)
    Language English
    Publishing date 2024-02-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2613694-6
    ISSN 1664-462X
    ISSN 1664-462X
    DOI 10.3389/fpls.2024.1304121
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  6. Article ; Online: A machine learning algorithm based on circulating metabolic biomarkers offers improved predictions of neurological diseases.

    Han, Liyuan / Chen, Xi / Wang, Yue / Zhang, Ruijie / Zhao, Tian / Pu, Liyuan / Huang, Yi / Sun, Hongpeng

    Clinica chimica acta; international journal of clinical chemistry

    2024  Volume 558, Page(s) 119671

    Abstract: Background and aims: A machine learning algorithm based on circulating metabolic biomarkers for the predictions of neurological diseases (NLDs) is lacking. To develop a machine learning algorithm to compare the performance of a metabolic biomarker-based ...

    Abstract Background and aims: A machine learning algorithm based on circulating metabolic biomarkers for the predictions of neurological diseases (NLDs) is lacking. To develop a machine learning algorithm to compare the performance of a metabolic biomarker-based model with that of a clinical model based on conventional risk factors for predicting three NLDs: dementia, Parkinson's disease (PD), and Alzheimer's disease (AD).
    Materials and methods: The eXtreme Gradient Boosting (XGBoost) algorithm was used to construct a metabolic biomarker-based model (metabolic model), a clinical risk factor-based model (clinical model), and a combined model for the prediction of the three NLDs. Risk discrimination (c-statistic), net reclassification improvement (NRI) index, and integrated discrimination improvement (IDI) index values were determined for each model.
    Results: The results indicate that incorporation of metabolic biomarkers into the clinical model afforded a model with improved performance in the prediction of dementia, AD, and PD, as demonstrated by NRI values of 0.159 (0.039-0.279), 0.113 (0.005-0.176), and 0.201 (-0.021-0.423), respectively; and IDI values of 0.098 (0.073-0.122), 0.070 (0.049-0.090), and 0.085 (0.068-0.101), respectively.
    Conclusion: The performance of the model based on circulating NMR spectroscopy-detected metabolic biomarkers was better than that of the clinical model in the prediction of dementia, AD, and PD.
    Language English
    Publishing date 2024-04-15
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 80228-1
    ISSN 1873-3492 ; 0009-8981
    ISSN (online) 1873-3492
    ISSN 0009-8981
    DOI 10.1016/j.cca.2024.119671
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    In stock of ZB MED Cologne/Königswinter

    Ud II Zs.173: Show issues Location:
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  7. Article ; Online: PUTransGCN: identification of piRNA-disease associations based on attention encoding graph convolutional network and positive unlabelled learning.

    Chen, Qiuhao / Zhang, Liyuan / Liu, Yaojia / Qin, Zhonghao / Zhao, Tianyi

    Briefings in bioinformatics

    2024  Volume 25, Issue 3

    Abstract: Piwi-interacting RNAs (piRNAs) play a crucial role in various biological processes and are implicated in disease. Consequently, there is an escalating demand for computational tools to predict piRNA-disease interactions. Although there have been ... ...

    Abstract Piwi-interacting RNAs (piRNAs) play a crucial role in various biological processes and are implicated in disease. Consequently, there is an escalating demand for computational tools to predict piRNA-disease interactions. Although there have been computational methods proposed for the detection of piRNA-disease associations, the problem of imbalanced and sparse dataset has brought great challenges to capture the complex relationships between piRNAs and diseases. In response to this necessity, we have developed a novel computational architecture, denoted as PUTransGCN, which uses heterogeneous graph convolutional networks to uncover potential piRNA-disease associations. Additionally, the attention mechanism was used to adjust the weight parameters of aggregation heterogeneous node features automatically. For tackling the imbalanced dataset problem, the combined positive unlabelled learning (PUL) method comprising PU bagging, two-step and spy technique was applied to select reliable negative associations. The features of piRNAs and diseases were derived from three distinct biological sources by PUTransGCN, including information on piRNA sequences, semantic terms related to diseases and the existing network of piRNA-disease associations. In the experiment, PUTransGCN performs in 5-fold cross-validation with an AUC of 0.93 and 0.95 on two datasets, respectively, which outperforms the other six state-of-the-art models. We compared three different PUL methods, and the results of the ablation experiment indicate that the combined PUL method yields the best results. The PUTransGCN could serve as a valuable piRNA-disease prediction tool for upcoming studies in the biomedical field. The code for PUTransGCN is available at https://github.com/chenqiuhao/PUTransGCN.
    MeSH term(s) Piwi-Interacting RNA
    Chemical Substances Piwi-Interacting RNA
    Language English
    Publishing date 2024-04-06
    Publishing country England
    Document type Journal Article
    ZDB-ID 2068142-2
    ISSN 1477-4054 ; 1467-5463
    ISSN (online) 1477-4054
    ISSN 1467-5463
    DOI 10.1093/bib/bbae144
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6262: Show issues Location:
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  8. Article: Prediction of the potentially suitable areas of

    Wang, Yongji / Xie, Liyuan / Zhou, Xueyong / Chen, Renfei / Zhao, Guanghua / Zhang, Fenguo

    Ecology and evolution

    2023  Volume 13, Issue 10, Page(s) e10597

    Abstract: ... Leonurus ... ...

    Abstract Leonurus japonicus
    Language English
    Publishing date 2023-10-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 2635675-2
    ISSN 2045-7758
    ISSN 2045-7758
    DOI 10.1002/ece3.10597
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  9. Article ; Online: Plasma lipidomic profiling reveals six candidate biomarkers for the prediction of incident stroke in patients with hypertension.

    Zeng, Jingjing / Zhang, Ruijie / Zhao, Tian / Wang, Han / Han, Liyuan / Pu, Liyuan / Jiang, Yannan / Xu, Shan / Ren, Huiming / Wang, Changyi

    Metabolomics : Official journal of the Metabolomic Society

    2024  Volume 20, Issue 1, Page(s) 13

    Abstract: Introduction: The burden of stroke in patients with hypertension is very high, and its prediction is critical.: Objectives: We aimed to use plasma lipidomics profiling to identify lipid biomarkers for predicting incident stroke in patients with ... ...

    Abstract Introduction: The burden of stroke in patients with hypertension is very high, and its prediction is critical.
    Objectives: We aimed to use plasma lipidomics profiling to identify lipid biomarkers for predicting incident stroke in patients with hypertension.
    Methods: This was a nested case-control study. Baseline plasma samples were collected from 30 hypertensive patients with newly developed stroke, 30 matched patients with hypertension, 30 matched patients at high risk of stroke, and 30 matched healthy controls. Lipidomics analysis was performed by ultrahigh-performance liquid chromatography-tandem mass spectrometry, and differential lipid metabolites were screened using multivariate and univariate statistical methods. Machine learning methods (least absolute shrinkage and selection operator, random forest) were used to identify candidate biomarkers for predicting stroke in patients with hypertension.
    Results: Co-expression network analysis revealed that the key molecular alterations of the lipid network in stroke implicate glycerophospholipid metabolism and choline metabolism. Six lipid metabolites were identified as candidate biomarkers by multivariate statistical and machine learning methods, namely phosphatidyl choline(40:3p)(rep), cholesteryl ester(20:5), monoglyceride(29:5), triglyceride(18:0p/18:1/18:1), triglyceride(18:1/18:2/21:0) and coenzyme(q9). The combination of these six lipid biomarkers exhibited good diagnostic and predictive ability, as it could indicate a risk of stroke at an early stage in patients with hypertension (area under the curve = 0.870; 95% confidence interval: 0.783-0.957).
    Conclusions: We determined lipidomic signatures associated with future stroke development and identified new lipid biomarkers for predicting stroke in patients with hypertension. The biomarkers have translational potential and thus may serve as blood-based biomarkers for predicting hypertensive stroke.
    MeSH term(s) Humans ; Lipidomics ; Case-Control Studies ; Metabolomics ; Biomarkers ; Cholesterol Esters ; Hypertension ; Triglycerides
    Chemical Substances Biomarkers ; Cholesterol Esters ; Triglycerides
    Language English
    Publishing date 2024-01-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2250617-2
    ISSN 1573-3890 ; 1573-3882
    ISSN (online) 1573-3890
    ISSN 1573-3882
    DOI 10.1007/s11306-023-02081-z
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    Zs.A 6361: Show issues Location:
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  10. Article ; Online: Waistline to thigh circumference ratio as a predictor of MAFLD: a health care worker study with 2-year follow-up.

    Hao, Xiaoyan / He, Honghai / Tao, Liyuan / Zhao, Wei / Wang, Peng

    BMC gastroenterology

    2024  Volume 24, Issue 1, Page(s) 144

    Abstract: Background: This study aimed to determine whether the waist-to-thigh ratio (WTTR) is associated with the incidence of metabolic-associated fatty liver disease (MAFLD) in health care workers.: Methods: There were 4517 health care workers with baseline ...

    Abstract Background: This study aimed to determine whether the waist-to-thigh ratio (WTTR) is associated with the incidence of metabolic-associated fatty liver disease (MAFLD) in health care workers.
    Methods: There were 4517 health care workers with baseline data and results from 2 follow-up examinations. We divided the subjects into 3 groups according to baseline WTTR and used the Cox hazard regression model to estimate MAFLD risk.
    Results: The WTTRs were categorized by tertiles at baseline using the values 1.58 and 1.66. Patients with higher WTTR tended to have significantly greater values for the following factors, body mass index (BMI), fasting blood glucose (FPG), systolic blood pressure, diastolic blood pressure, total cholesterol (TC), triglycerides (TG), low-density lipoprotein-cholesterol (LDL-C) and neck circumference. The incidence of MAFLD significantly increased with increasing WTTR tertiles (5.74%, 12.75% and 22.25% for the first, second and third tertiles, respectively, P < 0.05 for trend). Kaplan-Meier(K-M) survival analysis revealed a significant tendency towards increased MAFLD risk with increasing WTTR tertile. In the fully adjusted model, the hazard ratios (95% CIs) for MAFLD in the second, third WTTR tertiles compared with the first quartile were 2.17(1.58,2.98), 3.63(2.70,4.89), respectively, third neck circumference tertiles compared with the first quartile were 2.84(1.89,4.25), 8.95(6.00,13.35), respectively. Compared with those of individuals with a BMI > 23 kg/m2, the associations between WTTR and MAFLD incidence were more pronounced in subjects with a BMI < 23 kg/m2. Similarly, the difference in neck circumference was more pronounced in these patients with a BMI < 23 kg/m2.
    Conclusions: Our results revealed that the WTTR is an independent risk factor for MAFLD, and there was a dose‒response relationship between the WTTR and MAFLD risk. The neck circumference was significantly different in subjects with a BMI < 23 kg/m2. This approach provides a new way to predict the incidence rate of MAFLD.
    MeSH term(s) Humans ; Male ; Female ; Thigh ; Middle Aged ; Waist Circumference ; Follow-Up Studies ; Incidence ; Adult ; Risk Factors ; Body Mass Index ; Proportional Hazards Models ; Health Personnel ; Non-alcoholic Fatty Liver Disease/blood ; Non-alcoholic Fatty Liver Disease/epidemiology ; Blood Glucose/analysis ; Blood Glucose/metabolism
    Chemical Substances Blood Glucose
    Language English
    Publishing date 2024-04-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041351-8
    ISSN 1471-230X ; 1471-230X
    ISSN (online) 1471-230X
    ISSN 1471-230X
    DOI 10.1186/s12876-024-03229-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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