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  1. Book ; Online: Numerical Modeling in Civil and Mining Geotechnical Engineering

    Li, Li

    2022  

    Keywords Technology: general issues ; History of engineering & technology ; near-surface thick deposit ; surface subsidence ; numerical simulation ; unmanned aerial survey ; accurate model ; railway ballast fouling ; ballast degradation ; micro-mechanical parameters ; shear strength ; large diameter bored pile ; hyperparameters ; supervised machine learning ; finite element method ; parametric study ; load transfer ; failure mechanism ; geothermal heat exchangers ; permafrost ; thaw settlement ; sustainability ; embedded beam elements ; finite element ; mesh sensitivity ; soil-structure interaction ; deep foundation ; 3D modelling ; fluid fine tailings ; dewatering ; modelling ; seasonal weathering ; freeze-thaw ; evaporation ; mining backfill ; compressibility ; constitutive models ; numerical modeling ; plasticity ; critical state soil model ; modified Cam Clay model ; model normalization ; precomputation ; incompatibility ; rock ; plastic deformation ; goaf-side entry ; stability of surrounding rock ; pillar size optimization ; confined water ; paste filling mining ; filling step ; advancing distance ; floor failure ; tailings dam ; impacting force ; kinetic energy ; smoothed particle hydrodynamics (SPH) ; 3D nonlinear yield criterion ; elastoplastic model ; circular opening ; backfill ; FLAC3D ; pore water pressure ; hydraulic conductivity ; alternative method ; numerical analyses ; unsaturated soil ; n/a
    Language 0|e
    Size 1 electronic resource (300 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021620426
    ISBN 9783036554426 ; 3036554424
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Advances in Aquaculture Ecology Research

    Tian, Xiangli / Li, Li

    2023  

    Keywords Research & information: general ; Biology, life sciences ; Ecological science, the Biosphere ; aquaculture wastewater ; desiccation ; growth ; Neoporphyra ; nitrogen limitation ; NO3-N and PO4-P removal ; water velocity ; molasses ; PHBV ; water quality ; nitrification rate ; heterotrophic ; bacteria community ; bacterial function ; rice-crab co-culture ; Eriocheir sinensis ; dietary protein content ; ecological environment ; rice field ; integrated aquaculture ; ecology ; review ; prospects ; coupling degree ; eco-certification ; biochemical composition ; golden tide ; NO3-N uptake ; photosynthesis ; seaweed cultivation ; mud crab ; temperature ; molting ; energy metabolism ; floating raft aquaculture area ; open sea area ; hydrodynamic environment ; water exchange capacity ; numerical simulation ; carbonate alkalinity stress ; Exopalaemon carinicauda ; reproduction ; ovary ; eyestalk ; transcriptome ; growth performance ; bacterial community ; Bacillus pumilus BP-171 ; Penaeus vannamei ; Daphniopsis tibetana ; biology ; different habitats ; population growth parameters ; third-generation transcriptome sequencing ; n/a
    Language English
    Size 1 electronic resource (180 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030374570
    ISBN 9783036579757 ; 3036579753
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book: Radiology of Infectious and Inflammatory Diseases - Volume 3

    Li, Hongjun / Li, Li / Liu, Jingzhe

    Heart and Chest

    2023  

    Author's details Hongjun Li is a Professor and Director of the Department of Radiology in Beijing You An Hospital, Affiliated with Capital Medical University, Beijing, China. He is also the Chairman of Infectious Disease Radiology Specialty Committee of Chinese Society of Radiology. Jingzhe Liu is a Professor at Department of Radiology, The First Hospital of Tsinghua University, Beijing, China. Li Li is a Professor at Department of Radiology, Beijing You'an Hospital affiliated to Capital Medical University, Beijing, China
    Keywords Pneumonia ; Influenza ; Lungabscess ; pulmonarytuberculosis ; AIDSrelatedlunginfection ; ConnectiveTissueDisease ; Vasculitis ; Mediastinaldisease ; Viralmyocarditis ; Aortainfection ; Rheumaticcarditis ; Lung abscess ; Pulmonary tuberculosis ; AIDS related lung infection ; Connective tissue disease ; Mediastinal disease ; Viral myocarditis ; Aorta infection ; Rheumatic carditis
    Language English
    Size 448 p.
    Edition 1
    Publisher Springer Nature Singapore
    Document type Book
    Note PDA Manuell_23
    Format 215 x 285 x 28
    ISBN 9789819946136 ; 9819946131
    Database PDA

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  4. Book: Regionalized Management of Medicine

    Shen, Hui / Wang, Xiangdong / Li, Li / Zeng, Yiming

    (Translational Bioinformatics)

    2022  

    Author's details Hui Shen, MD, Dean of Jinshan Hospital Affiliated to Fudan University, President of Yangtze River Delta Integration Gene Testing Alliance, Shanghai, China. His research focus on studying hospital human resource management, cultural construction, and hospital operation process. He is also the standing director of Shanghai Hospital Association, Vice President of Shanghai Health Education Association (President of Hospital Branch). Yi-Ming Zeng, MD, Professor and Dean of the Second Hospital of Fujian Medical University, member of State Expert Council for Special Allowance, and Director of Sleep Medicine Key Laboratory of Fujian Province. He achieved the Outstanding Contribution of Middle-aged Expert of National Health and Family Planning Commission of the People's Republic of China (NHFPC). His main research is focused on clinical, interventional pulmonology, sleep-breathing disorders, and noninvasive mechanical ventilation. He is the author of more than 150scientific publications. L
    Series title Translational Bioinformatics
    Keywords Moleculardiagnostics ; primarycare ; Bioinformatics ; Pediatrics ; Hospitalmanagement ; Bigdata ; Molecular diagnostics ; Primary care ; Hospital management ; Big data
    Language English
    Size 236 p.
    Edition 1
    Publisher Springer Nature Singapore
    Document type Book
    Note PDA Manuell_15
    Format 160 x 241 x 18
    ISBN 9789811678929 ; 9811678928
    Database PDA

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  5. Article ; Online: "Goldilocks Modifications" for mRNA Therapeutics Won the Nobel Prize.

    Li, Li

    Nucleic acid therapeutics

    2024  Volume 34, Issue 1, Page(s) 1–3

    MeSH term(s) Nobel Prize ; RNA, Messenger/therapeutic use
    Chemical Substances RNA, Messenger
    Language English
    Publishing date 2024-01-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2639888-6
    ISSN 2159-3345 ; 2159-3337
    ISSN (online) 2159-3345
    ISSN 2159-3337
    DOI 10.1089/nat.2023.0062
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Forward from the Editor-in-Chief.

    Li, Li

    Family medicine and community health

    2024  Volume 12, Issue Suppl 3

    Language English
    Publishing date 2024-04-12
    Publishing country England
    Document type Editorial
    ZDB-ID 2986753-8
    ISSN 2009-8774 ; 2305-6983
    ISSN (online) 2009-8774
    ISSN 2305-6983
    DOI 10.1136/fmch-2024-002868
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book: Gait biometrics

    Li, Li / Holmes, Matthew

    basic patterns, role of neurological disorders and effects of physical activity

    (Physiology - laboratory and clinical research ; Nova biomedical)

    2014  

    Author's details Li Li and Matthew Holmes ed
    Series title Physiology - laboratory and clinical research
    Nova biomedical
    Keywords Gait in humans ; Biometry
    Subject code 612.76
    Language English
    Size VI, 228 S. : Ill., graph. Darst., 26 cm
    Publisher Nova Science Publ
    Publishing place New York
    Publishing country United States
    Document type Book
    Note Includes bibliographical references and index
    HBZ-ID HT018618928
    ISBN 978-1-62948-381-8 ; 1-62948-381-8
    Database Catalogue ZB MED Medicine, Health

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  8. Article ; Online: Intelligent Data Processing and Optimization of University Logistics Combined with Block Chain Storage Algorithm

    Li Li

    Advances in Multimedia, Vol

    2022  Volume 2022

    Abstract: The traditional Hadoop-based logistic data processing platform of universities cannot fully collect and control remote data in the process of data processing and has defects such as poor efficiency, high error, and difficult query. In existing designs, ... ...

    Abstract The traditional Hadoop-based logistic data processing platform of universities cannot fully collect and control remote data in the process of data processing and has defects such as poor efficiency, high error, and difficult query. In existing designs, devices often need to store complete block data. When retrieving or verifying specific data on the chain, a large number of blocks need to be traversed to find the corresponding data, which reduces the response speed on the user side. In addition, the traditional consensus algorithm is not suitable for resource-constrained terminal devices. Therefore, this paper proposes an intelligent data processing and optimization method of university logistics combined with block chain storage algorithm. For unstructured data on the cloud storage network, the storage information can be obtained through domain analysis, and the storage frequency can be dynamically adjusted based on the estimated data flapping. Moreover, a data storage audit scheme is designed on the cloud storage network to improve data storage efficiency. In order to ensure the integrity verification efficiency of unstructured big data cloud storage, a multilayer block chain network model suitable for university logistics data is designed by introducing block chain technology. The throughput and average occupancy under the same conditions in different environments are evaluated and analyzed, and it is verified that the proposed method is not affected by the initial priority distribution and has good stability and optimization performance. The results show that the proposed method can significantly improve the cloud storage efficiency of unstructured data, can effectively respond to a large number of requests to access data, and has good big data processing capability.
    Keywords Electronic computers. Computer science ; QA75.5-76.95
    Subject code 006
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Prognostic value of neutrophil-to-lymphocyte ratio in gastric cancer patients treated with immune checkpoint inhibitors: A meta-analysis.

    Li, Li-Li / Pan, Li-Sha

    The Kaohsiung journal of medical sciences

    2023  Volume 39, Issue 8, Page(s) 842–852

    Abstract: The neutrophil-to-lymphocyte ratio (NLR) has been extensively studied in patients with gastric cancer (GC) treated with immune checkpoint inhibitors (ICIs), although the results are controversial. Therefore, we performed the present meta-analysis to ... ...

    Abstract The neutrophil-to-lymphocyte ratio (NLR) has been extensively studied in patients with gastric cancer (GC) treated with immune checkpoint inhibitors (ICIs), although the results are controversial. Therefore, we performed the present meta-analysis to systematically assess the correlation between NLR and prognosis and clinicopathological factors in GC patients undergoing treatment with ICIs. Among the electronic databases, PubMed, Web of Science, Embase, and Cochrane Library were thoroughly searched. To estimate the prognostic value of NLR for progression-free survival (PFS) and overall survival (OS), hazard ratios (HRs) were calculated, and their 95% confidence intervals were calculated. This meta-analysis included 10 studies with 830 patients. Based on the pooled data, a high NLR was associated with poor OS in GC patients receiving ICIs (HR = 2.13, 95% confidence interval [CI] = 1.70-2.66, p < 0.001). Elevated NLR was a significant biomarker for worse PFS in GC patients treated with ICIs (HR = 1.74, 95% CI = 1.22-2.48, p = 0.002). There was, however, no significant correlation between NLR and sex, age, and Eastern Cooperative Oncology Group Performance Status (PS) of the ECOG, differentiation, human epidermal growth factor receptor 2 (HER2) status, or PD-L1 status in GC patients treated with ICIs. High NLR before treatment was associated with poor OS and PFS in GC patients treated with ICIs, according to our meta-analysis. NLR is an effective biomarker for evaluating the prognosis of GC patients receiving ICIs and provide more valuable information for treatment decisions in the era of immunotherapy for GC.
    Language English
    Publishing date 2023-05-11
    Publishing country China (Republic : 1949- )
    Document type Journal Article
    ZDB-ID 639302-0
    ISSN 2410-8650 ; 0257-5655
    ISSN (online) 2410-8650
    ISSN 0257-5655
    DOI 10.1002/kjm2.12694
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: An Online Arrangement Method of Difficult Actions in Competitive Aerobics Based on Multimedia Technology

    Li Li

    Security and Communication Networks, Vol

    2021  Volume 2021

    Abstract: In accordance with the development trend of competitive aerobics’ arrangement structure, this paper studies the online arrangement method of difficult actions in competitive aerobics based on multimedia technology to improve the arrangement effect. RGB ... ...

    Abstract In accordance with the development trend of competitive aerobics’ arrangement structure, this paper studies the online arrangement method of difficult actions in competitive aerobics based on multimedia technology to improve the arrangement effect. RGB image, optical flow image, and corrected optical flow image are taken as the input modes of difficult action recognition network in competitive aerobics video based on top-down feature fusion. The key frames of input modes in competitive aerobics video are extracted by using the key frame extraction method based on subshot segmentation of a double-threshold sliding window and fully connected graph. Through forward propagation, the score vector of video relative to all categories is obtained, and the probability score of probability distribution is obtained after normalization. The human action recognition in competitive aerobics video is completed, and the online arrangement of difficult action in competitive aerobics is realized based on this. The experimental results show that this method has a high accuracy in identifying difficult actions in competitive aerobics video; the online arrangement of difficult actions in competitive aerobics has obvious advantages, meets the needs of users, and has strong practicability.
    Keywords Technology (General) ; T1-995 ; Science (General) ; Q1-390
    Subject code 000
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Hindawi-Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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