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  1. Book ; Online ; E-Book: Frontiers and progress of current soft matter research

    Liu, X. Y.

    (Soft and Biological Matter,)

    2021  

    Abstract: This book covers some fundamental aspects and frontiers in non-equilibrium physics and soft matter research. Apart from the basic knowledge on nonlinear statistic physics, dynamics, computer simulations, and main approaches and emerging systems in soft ... ...

    Author's details Xiang-Yang Liu, editor
    Series title Soft and Biological Matter,
    Abstract This book covers some fundamental aspects and frontiers in non-equilibrium physics and soft matter research. Apart from the basic knowledge on nonlinear statistic physics, dynamics, computer simulations, and main approaches and emerging systems in soft matter research, particular attention is devoted to new conceptual flexible functional materials and the enriching areas, such as silk meso-molecular materials, molecular gels, liquid crystals, flexible electronics and new types of catalysis, etc. One of the main characteristics of this book is to start with the structure formation dynamics and the correlation between the structures and macroscopic performance. This lays down the foundation for the mesoscopic materials design and functionalization. The book is intended for upper undergraduate students, graduate students, and researchers who are interested in soft matter researches. As one of main references, the basic principles and technologies of computer simulations and experimental methods adopted in soft matter research are also explained. Illustrations and tables are included in this book to improve the readability, and examples and exercises are added to help understanding. .
    Keywords Soft condensed matter
    Subject code 530.413
    Language English
    Size 1 online resource (VII, 352 p. 95 illus., 79 illus. in color.)
    Edition 1st ed. 2021.
    Publisher Springer
    Publishing place Gateway East, Singapore
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 981-15-9297-7 ; 981-15-9296-9 ; 978-981-15-9297-3 ; 978-981-15-9296-6
    DOI 10.1007/978-981-15-9297-3
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online ; E-Book: Micro and Nano Systems for Biophysical Studies of Cells and Small Organisms

    Liu, Xinyu / Sun, Yu

    2021  

    Keywords Cell physiology ; Microorganisms
    Subject code 571.6
    Language English
    Size 1 online resource (406 pages)
    Publisher Elsevier Science & Technology
    Publishing place San Diego
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 0-12-823990-5 ; 978-0-12-823990-2
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Thesis: Characterization of herpes simplex virus type 1 (HSV-1) infection of the skin using a novel ex vivo model

    Liu, Xiaokun

    2018  

    Author's details vorgelegt von Xiaokun Liu
    Language English
    Size 72 Blätter, Illustrationen, Diagramme, 30 cm
    Publishing place Hannover
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Medizinische Hochschule Hannover, 2018
    HBZ-ID HT019965792
    Database Catalogue ZB MED Medicine, Health

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  4. Book ; Thesis: Caspase 3 as an alternative marker for increasing the throughput of the predictive radiation-induced lymphocyte apoptosis assay in malignancies

    Liu, Xiaolei / Veldwijk, Marlon Romano

    2022  

    Title variant Caspase three as an alternative marker for increasing the throughput of the predictive radiation-induced lymphocyte apoptosis assay in malignancies
    Institution Universität Heidelberg
    Author's details vorgelegt von Xiaolei Liu ; Referent: Prof. Dr. Marlon R. Veldwijk
    Language English
    Size 64 Seiten, Diagramme, Illustrationen
    Publishing place Heidelberg
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Ruprecht-Karls-Universität Heidelberg, 2023
    HBZ-ID HT030626392
    Database Catalogue ZB MED Medicine, Health

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  5. Book ; Online: Advances in Marine Engineering: Geological Environment and Hazards

    Liu, Xiaolei / Stoesser, Thorsten / Guo, Xingsen

    2023  

    Keywords Technology: general issues ; History of engineering & technology ; gas-hydrate-bearing sediments ; mechanical behavior ; dynamic loading ; discrete element simulation ; macro-meso ; South China Sea ; submarine soft soil ; triaxial test ; mechanical properties ; normalized behavior ; CO2 hydrate slurry ; rheology ; shear-thickening ; Herschel-Bulkley-type model ; sediment acoustic ; frequency dependence ; sound speed ; attenuation ; Biot-Stoll model ; seafloor sediments ; XGBoost ; the East China Sea ; groundwater ; hydrochemistry ; Guangdong coastal zone ; seawater intrusion ; nitrate pollution ; undrained shear strength ; clay samples ; mini-ball penetration test ; low temperature ; strength of bound water ; viscosity of free water ; seafloor bedform ; multibeam bathymetry ; sub-bottom profile ; bottom current ; laterally loaded piles ; initial stiffness ; undrained clay slope ; nonlinear formulations ; finite-element analysis ; cyclic shear test ; silt-steel interface ; stress-displacement mechanical properties ; submarine landslide ; in-situ investigation ; physical modelling ; numerical simulation ; calcareous sand ; cyclic load ; cumulative axial strain ; stiffness ; damping ratio ; deep-buried tunnel ; analytical solution ; anisotropic flow ; conformal mapping ; seepage field ; gas hydrate ; high-resolution seismic ; ultra-high-energy plasma source ; n/a
    Language English
    Size 1 electronic resource (254 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030374766
    ISBN 9783036570570 ; 3036570578
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  6. Article ; Online: Propensity Score Weighting with Missing Data on Covariates and Clustered Data Structure.

    Liu, Xiao

    Multivariate behavioral research

    2024  , Page(s) 1–23

    Abstract: Propensity score (PS) analyses are increasingly popular in behavioral sciences. Two issues often add complexities to PS analyses, including missing data in observed covariates and clustered data structure. In previous research, methods for conducting PS ... ...

    Abstract Propensity score (PS) analyses are increasingly popular in behavioral sciences. Two issues often add complexities to PS analyses, including missing data in observed covariates and clustered data structure. In previous research, methods for conducting PS analyses with considering either issue alone were examined. In practice, the two issues often co-occur; but the performance of methods for PS analyses in the presence of both issues has not been evaluated previously. In this study, we consider PS weighting analysis when data are clustered and observed covariates have missing values. A simulation study is conducted to evaluate the performance of different missing data handling methods (complete-case, single-level imputation, or multilevel imputation) combined with different multilevel PS weighting methods (fixed- or random-effects PS models, inverse-propensity-weighting or the clustered weighting, weighted single-level or multilevel outcome models). The results suggest that the bias in average treatment effect estimation can be reduced, by better accounting for clustering in both the missing data handling stage (such as with the multilevel imputation) and the PS analysis stage (such as with the fixed-effects PS model, clustered weighting, and weighted multilevel outcome model). A real-data example is provided for illustration.
    Language English
    Publishing date 2024-02-20
    Publishing country United States
    Document type Journal Article
    ISSN 1532-7906
    ISSN (online) 1532-7906
    DOI 10.1080/00273171.2024.2307529
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Incomplete Multiple Kernel Alignment Maximization for Clustering.

    Liu, Xinwang

    IEEE transactions on pattern analysis and machine intelligence

    2024  Volume 46, Issue 3, Page(s) 1412–1424

    Abstract: Multiple kernel alignment (MKA) maximization criterion has been widely applied into multiple kernel clustering (MKC) and many variants have been recently developed. Though demonstrating superior clustering performance in various applications, it is ... ...

    Abstract Multiple kernel alignment (MKA) maximization criterion has been widely applied into multiple kernel clustering (MKC) and many variants have been recently developed. Though demonstrating superior clustering performance in various applications, it is observed that none of them can effectively handle incomplete MKC, where parts or all of the pre-specified base kernel matrices are incomplete. To address this issue, we propose to integrate the imputation of incomplete kernel matrices and MKA maximization for clustering into a unified learning framework. The clustering of MKA maximization guides the imputation of incomplete kernel elements, and the completed kernel matrices are in turn combined to conduct the subsequent MKC. These two procedures are alternately performed until convergence. By this way, the imputation and MKC processes are seamlessly connected, with the aim to achieve better clustering performance. Besides theoretically analyzing the clustering generalization error bound, we empirically evaluate the clustering performance on several multiple kernel learning (MKL) benchmark datasets, and the results indicate the superiority of our algorithm over existing state-of-the-art counterparts. Our codes and data are publicly available at https://xinwangliu.github.io/.
    Language English
    Publishing date 2024-02-06
    Publishing country United States
    Document type Journal Article
    ISSN 1939-3539
    ISSN (online) 1939-3539
    DOI 10.1109/TPAMI.2021.3116948
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Association between dietary inflammation index with anemia in Americans: a cross-sectional study with U.S. National health and nutrition examination survey.

    Liu, Xue

    Hematology (Amsterdam, Netherlands)

    2024  Volume 29, Issue 1, Page(s) 2337567

    Abstract: Objectives: Dietary inflammatory index (DII) is utilized to determine the inflammatory effects of nutrients and foods on various diseases. Inflammation is a potential risk factor for anemia. We hypothesize that pro-inflammatory diets boost the incidence ...

    Abstract Objectives: Dietary inflammatory index (DII) is utilized to determine the inflammatory effects of nutrients and foods on various diseases. Inflammation is a potential risk factor for anemia. We hypothesize that pro-inflammatory diets boost the incidence of anemia, as indicated by high DII.
    Methods: 41, 360 Americans were included in this study from the U.S. National Health and Nutrition Survey (NHANES) from 2003-2018. Multivariable logistic regression models were employed to examine the association between DII and anemia.
    Results: After adjustment for all the covariates, the odds ratios (ORs) (95% CI) between the risk of anemia and DII across tertile 3 were 1.2556 (95% CI 1.0621, 1.4843;
    Discussion: Together, anemia was significantly associated with DII using logistic regression. In stratified analyses, higher DII scores were linked to an increased incidence of anemia in men, while no association was found in women after adjustment. Additionally, anemia may be associated with greater pro-inflammatory diets in Non-Hispanic Whites/Blacks.
    Conclusion: In the present study, we evaluate the potential relationship between DII and anemia using data from NHANES. This cross-sectional study confirmed the hypothesis that the higher DII was significantly associated with a higher risk of anemia in the U.S. population.
    MeSH term(s) Male ; Female ; Humans ; Cross-Sectional Studies ; Nutrition Surveys ; Diet/adverse effects ; Inflammation/epidemiology ; Anemia/epidemiology ; Anemia/etiology
    Language English
    Publishing date 2024-04-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 1341428-8
    ISSN 1607-8454 ; 1024-5332 ; 1024-5340
    ISSN (online) 1607-8454
    ISSN 1024-5332 ; 1024-5340
    DOI 10.1080/16078454.2024.2337567
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Letter to the editor in response to the article "Willingness to human papillomavirus (HPV) vaccination and influencing factors among male and female university students in China".

    Liu, Xueying

    Journal of medical virology

    2024  Volume 96, Issue 1, Page(s) e29351

    MeSH term(s) Humans ; Male ; Female ; Universities ; Papillomavirus Infections/epidemiology ; Papillomavirus Infections/prevention & control ; China ; Surveys and Questionnaires ; Students ; Vaccination ; Human Papillomavirus Viruses ; Papillomavirus Vaccines ; Health Knowledge, Attitudes, Practice ; Patient Acceptance of Health Care
    Chemical Substances Papillomavirus Vaccines
    Language English
    Publishing date 2024-01-04
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.29351
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Distributionally robust optimization scheduling of port energy system considering hydrogen production and ammonia synthesis.

    Liu, Xiaoou

    Heliyon

    2024  Volume 10, Issue 5, Page(s) e27615

    Abstract: In order to effectively address the uncertainty risks of port energy system caused by intermittence and fluctuation of renewable energy, this paper proposes a scheduling method for port energy system based on distributionally robust optimization (DRO) ... ...

    Abstract In order to effectively address the uncertainty risks of port energy system caused by intermittence and fluctuation of renewable energy, this paper proposes a scheduling method for port energy system based on distributionally robust optimization (DRO) considering ammonia synthesis after hydrogen production by water electrolysis (P2H2A), and uses real data from Tianjin Port for example analysis. The calculation results show that 1 h selected for the scheduling interval of P2H2A is reasonable, it can ensure that the ammonia synthesis reaction transitions smoothly to the new steady state, and the temperature and pressure of the ammonia converter meet safety constraints. The two-stage scheduling of port energy system based on DRO can be divided into pre-scheduling in the day-ahead stage and rescheduling in the intraday stage, which can improve the capacity of anti-risk for stochastic optimization and overcome the conservatism of robust optimization, and consider economy and robustness. Moreover, the rescheduling decision can be transformed to a prediction error function, the result of two-stage scheduling based on DRO is the pre-scheduling result, which is between the cost of stochastic optimization and robust optimization. As the Wasserstein distance-based sphere radius increases, the pre-scheduling cost of DRO gradually deviates from risk neutral stochastic optimization and leans towards risk averse robust optimization. When the Wasserstein distance-based sphere radius remains constant, the variance gradually decreases as the number of scenarios increases, which can promote the Wasserstein distance-based fuzzy set to converge to the true distribution. When the number of scenarios is greater than 15, the pre-scheduling cost will no longer fluctuate significantly, and the calculation time is in the range of 1200 s-6600 s. It can meet the demands of day-ahead scheduling calculation time. Therefore, the scheduling model has outstanding advantages in the computing time to improve the flexibility and economy of Tianjin Port's energy system scheduling, considering ammonia synthesis after hydrogen production using renewable energy.
    Language English
    Publishing date 2024-03-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e27615
    Database MEDical Literature Analysis and Retrieval System OnLINE

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