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  1. Article ; Online: Identification and Genomic Characterization of Bovine

    Savard, Christian / Wang, Leyi

    Viruses

    2024  Volume 16, Issue 2

    Abstract: ... ...

    Abstract Boosepivirus
    MeSH term(s) Animals ; Cattle ; Sheep ; United States ; Sheep Diseases ; Goats ; Cattle Diseases/epidemiology ; Picornaviridae ; Genomics ; Phylogeny
    Language English
    Publishing date 2024-02-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2516098-9
    ISSN 1999-4915 ; 1999-4915
    ISSN (online) 1999-4915
    ISSN 1999-4915
    DOI 10.3390/v16020307
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Diagnostics for Viral Pathogens in Veterinary Diagnostic Laboratories.

    Wang, Leyi

    The Veterinary clinics of North America. Food animal practice

    2022  Volume 39, Issue 1, Page(s) 129–140

    Abstract: Laboratory testing is one part of clinical diagnosis, and quick and reliable testing results provide important data to support treatment decision and develop control strategies. Clinical viral testing has been shifting from traditional virus isolation ... ...

    Abstract Laboratory testing is one part of clinical diagnosis, and quick and reliable testing results provide important data to support treatment decision and develop control strategies. Clinical viral testing has been shifting from traditional virus isolation and electron microscopy to molecular polymerase chain reaction and point-of-care antigen tests. This shift in diagnostic methodology also means change from looking for infectious virions or viral particles to hunting viral antigens and genomes. With technological development, it is predicted that metagenomic sequencing will be commonly used in veterinary clinical diagnosis for unveiling the whole picture of microbes involved in diseases in the future.
    MeSH term(s) Animals ; Laboratories ; Polymerase Chain Reaction/veterinary
    Language English
    Publishing date 2022-11-11
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 286086-7
    ISSN 1558-4240 ; 0749-0720
    ISSN (online) 1558-4240
    ISSN 0749-0720
    DOI 10.1016/j.cvfa.2022.09.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Se 1088: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  3. Article: Editorial: Molecular insight of chronic infections.

    Hu, Honghua / Wang, Leyi / Zhao, Qi

    Frontiers in microbiology

    2023  Volume 13, Page(s) 1112456

    Language English
    Publishing date 2023-01-04
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2022.1112456
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Editorial: Immunosuppressive disease in poultry.

    Li, Charles / Wang, Leyi / Zheng, Shijun

    Frontiers in immunology

    2023  Volume 14, Page(s) 1215513

    MeSH term(s) Animals ; Poultry ; Eimeria ; Coccidiosis
    Language English
    Publishing date 2023-06-12
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2606827-8
    ISSN 1664-3224 ; 1664-3224
    ISSN (online) 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2023.1215513
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Editorial: Livestock and poultry infectious diseases: pathogenesis and immune mechanisms.

    Wu, Jiaqiang / Ding, Jiabo / Wang, Leyi

    Frontiers in cellular and infection microbiology

    2023  Volume 13, Page(s) 1249034

    MeSH term(s) Animals ; Humans ; Poultry ; Livestock ; Communicable Diseases/etiology ; Communicable Diseases/veterinary
    Language English
    Publishing date 2023-07-11
    Publishing country Switzerland
    Document type Editorial ; Research Support, Non-U.S. Gov't
    ZDB-ID 2619676-1
    ISSN 2235-2988 ; 2235-2988
    ISSN (online) 2235-2988
    ISSN 2235-2988
    DOI 10.3389/fcimb.2023.1249034
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: A multi-layer reduced graphene oxide catalyst encapsulating a high-entropy alloy for rechargeable zinc-air batteries.

    Gao, Leyi / Zhong, Xiongwei / Li, Zhitong / Hu, Junjie / Cui, Shuyu / Wang, Xingzhu / Xu, Baomin

    Chemical communications (Cambridge, England)

    2024  Volume 60, Issue 10, Page(s) 1269–1272

    Abstract: A reduced graphene oxide encapsulating ... ...

    Abstract A reduced graphene oxide encapsulating Fe
    Language English
    Publishing date 2024-01-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472881-3
    ISSN 1364-548X ; 1359-7345 ; 0009-241X
    ISSN (online) 1364-548X
    ISSN 1359-7345 ; 0009-241X
    DOI 10.1039/d3cc05069f
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: MucLiPred: Multi-Level Contrastive Learning for Predicting Nucleic Acid Binding Residues of Proteins.

    Zhang, Jiashuo / Wang, Ruheng / Wei, Leyi

    Journal of chemical information and modeling

    2024  Volume 64, Issue 3, Page(s) 1050–1065

    Abstract: Protein-molecule interactions play a crucial role in various biological functions, with their accurate prediction being pivotal for drug discovery and design processes. Traditional methods for predicting protein-molecule interactions are limited. Some ... ...

    Abstract Protein-molecule interactions play a crucial role in various biological functions, with their accurate prediction being pivotal for drug discovery and design processes. Traditional methods for predicting protein-molecule interactions are limited. Some can only predict interactions with a specific molecule, restricting their applicability, while others target multiple molecule types but fail to efficiently process diverse interaction information, leading to complexity and inefficiency. This study presents a novel deep learning model, MucLiPred, equipped with a dual contrastive learning mechanism aimed at improving the prediction of multiple molecule-protein interactions and the identification of potential molecule-binding residues. The residue-level paradigm focuses on differentiating binding from non-binding residues, illuminating detailed local interactions. The type-level paradigm, meanwhile, analyzes overarching contexts of molecule types, like DNA or RNA, ensuring that representations of identical molecule types gravitate closer in the representational space, bolstering the model's proficiency in discerning interaction motifs. This dual approach enables comprehensive multi-molecule predictions, elucidating the relationships among different molecule types and strengthening precise protein-molecule interaction predictions. Empirical evidence demonstrates MucLiPred's superiority over existing models in robustness and prediction accuracy. The integration of dual contrastive learning techniques amplifies its capability to detect potential molecule-binding residues with precision. Further optimization, separating representational and classification tasks, has markedly improved its performance. MucLiPred thus represents a significant advancement in protein-molecule interaction prediction, setting a new precedent for future research in this field.
    MeSH term(s) Proteins/chemistry ; Nucleic Acids
    Chemical Substances Proteins ; Nucleic Acids
    Language English
    Publishing date 2024-02-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 190019-5
    ISSN 1549-960X ; 0095-2338
    ISSN (online) 1549-960X
    ISSN 0095-2338
    DOI 10.1021/acs.jcim.3c01471
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1230: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: Exploration of the Strategy for Improving the Expression of Heterologous Sweet Protein Monellin in

    Li, Ke / Zheng, Junwei / Yu, Leyi / Wang, Bin / Pan, Li

    Journal of fungi (Basel, Switzerland)

    2023  Volume 9, Issue 5

    Abstract: Aspergillus ... ...

    Abstract Aspergillus niger
    Language English
    Publishing date 2023-04-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2784229-0
    ISSN 2309-608X ; 2309-608X
    ISSN (online) 2309-608X
    ISSN 2309-608X
    DOI 10.3390/jof9050528
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Inter-leg systolic blood pressure difference has been associated with all-cause and cardiovascular mortality: analysis of NHANES 1999-2004.

    Shen, Geng / Liu, Zhihao / Wang, Leyi / Li, Jianping

    BMC public health

    2024  Volume 24, Issue 1, Page(s) 1071

    Abstract: Background: Inter-leg systolic blood pressure difference (ILSBPD) has emerged as a novel cardiovascular risk factor. This study aims to investigate the predictive value of ILSBPD on all-cause and cardiovascular mortality in general population.: ... ...

    Abstract Background: Inter-leg systolic blood pressure difference (ILSBPD) has emerged as a novel cardiovascular risk factor. This study aims to investigate the predictive value of ILSBPD on all-cause and cardiovascular mortality in general population.
    Methods: We combined three cycles (1999-2004) of the National Health and Nutrition Examination Survey (NHANES) data. Levels of ILSBPD were calculated and divided into four groups based on three cut-off values of 5, 10 and 15mmHg. Time-to-event curves were estimated with the use of the Kaplan-Meier method, and two multivariable Cox proportional hazards regression models were conducted to assess the hazard ratios (HRs) and 95% confidence intervals (CIs) of all-cause and cardiovascular mortality associated with ILSBPD.
    Results: A total of 6 842 subjects were included, with the mean (SD) age of 59.5 (12.8) years. By December 31, 2019, 2 544 and 648 participants were identified all-cause and cardiovascular mortality respectively during a median follow-up of 16.6 years. Time-to-event analyses suggested that higher ILSBPD was associated with increased all-cause and cardiovascular mortality (logrank, p < 0.001). Every 5mmHg increment of ILSBPD brings about 5% and 7% increased risk of all-cause and cardiovascular mortality, and individuals with an ILSBPD ≥ 15mmHg were significantly associated with higher incidence of all-cause mortality (HR 1.43, 95%CI 1.18-1.52, p < 0.001) and cardiovascular mortality (HR 1.73, 95%CI 1.36-2.20, p < 0.001) when multiple confounding factors were adjusted. Subgroup and sensitivity analysis confirmed the relationship.
    Conclusions: Our findings suggest that the increment of ILSBPD was significantly associated with higher risk of all-cause and cardiovascular mortality in general population.
    MeSH term(s) Humans ; Middle Aged ; Blood Pressure/physiology ; Nutrition Surveys ; Cardiovascular Diseases/epidemiology ; Leg ; Risk Factors
    Language English
    Publishing date 2024-04-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041338-5
    ISSN 1471-2458 ; 1471-2458
    ISSN (online) 1471-2458
    ISSN 1471-2458
    DOI 10.1186/s12889-024-18508-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Visual word recognition of Chinese-Japanese bilinguals: limited role of phonology.

    Jiao, Zhongyan / Du, Leyi / Wang, Yifan / Li, Yixian

    Frontiers in psychology

    2024  Volume 14, Page(s) 1318798

    Abstract: Introduction: The investigation of how orthography and phonology influence lexical semantic access in visual word identification is a crucial area in psycholinguistics. Previous studies, focusing on alphabetic scripts in bilingual lexical recognition, ... ...

    Abstract Introduction: The investigation of how orthography and phonology influence lexical semantic access in visual word identification is a crucial area in psycholinguistics. Previous studies, focusing on alphabetic scripts in bilingual lexical recognition, have highlighted the facilitative role of phonological similarity. Yet, the impact of cross-language phonological similarity in bilinguals using non-alphabetic scripts remains unclear.
    Methods: In this study, we employed a lexical decision task to examine Chinese-Japanese bilinguals. Participants were presented with Chinese-Japanese cognate translation pairs, categorized into phonologically similar and dissimilar cognates.
    Results: Analysis of event-related potentials (ERP) revealed no significant differences between phonologically similar and dissimilar contexts in the early time windows (90-170 ms and 170-270 ms). However, in the later time window (350-500 ms), significant differences were observed, with the phonologically dissimilar condition eliciting a larger negative wave.
    Discussion: Contrary to findings in alphabetic script-based studies, our results suggest that in logographic script processing, the activation of phonology and semantics occurs simultaneously, and the influence of phonology is limited. This indicates a distinct cognitive processing mechanism in non-alphabetic language bilinguals, providing new insights into the dynamics of bilingual lexical recognition.
    Language English
    Publishing date 2024-01-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2023.1318798
    Database MEDical Literature Analysis and Retrieval System OnLINE

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