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  1. AU="Mao, Yimin"
  2. AU="Exel, Tim K"
  3. AU="Nelson, Noah T"
  4. AU="Surana, Amit"
  5. AU="Praetzel-Wunder, Silke"
  6. AU="Nabil, Fatima Mohamed"
  7. AU="Lindh, Christian"
  8. AU="Vetkas, Artur"
  9. AU="Gorelick, Root"
  10. AU="Mezdari, Zaineb"
  11. AU=Wilkinson Beverley
  12. AU=Halbower Ann C AU=Halbower Ann C
  13. AU="Ghosh, Ananya"
  14. AU="Spoletini, Gabriele"
  15. AU="Gracefo, Sara"
  16. AU="Works, Kaitlyn R"
  17. AU="LIU Lei"
  18. AU="McLennan, John D"
  19. AU=Dickinson Gordon M AU=Dickinson Gordon M
  20. AU=Hertzler Dean A 2nd
  21. AU="Yan, Xinrui"
  22. AU="Seal, M L"
  23. AU="Seka, Devin J"
  24. AU="Nguyen, Phuong T B"

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  1. Artikel ; Online: Improved Parallel Random Forest Algorithm Combining Information Theory and Norm

    MAO Yimin, GENG Junhao

    Jisuanji kexue yu tansuo, Vol 16, Iss 5, Pp 1064-

    2022  Band 1075

    Abstract: Aiming at the problems of excessive redundancy and irrelevant features, low training feature information and low parallelization efficiency in big data random forest algorithm based on MapReduce, this paper proposes a parallel random forest algorithm ... ...

    Abstract Aiming at the problems of excessive redundancy and irrelevant features, low training feature information and low parallelization efficiency in big data random forest algorithm based on MapReduce, this paper proposes a parallel random forest algorithm based on information theory and norm (PRFITN). Firstly, the algorithm designs the DRIGFN (dimension reduction based on information gain and Frobenius norm) strategy to reduce the number of redundant and irrelevant features. Secondly, a feature grouping strategy based on information theory (FGSIT) is proposed. According to the FGSIT strategy, the features are grouped, and the stratified sampling method is adopted to ensure the information amount of the training features when constructing the decision tree in the random forest. Accuracy of classification results is improved. Finally, in order to improve the parallel efficiency of the cluster, the redistribution of key-value pairs (RSKP) is presented to realize the rapid and uniform distribution of key-value pairs, and obtain the global classification results. Experimental results show that the algorithm has better classification effect in big data environment, especially for datasets with more features.
    Schlagwörter |mapreduce|random forest (rf)|drigfn strategy|feature grouping strategy based on information theory (fgsit)|redistribution of key-value pairs (rskp) strategy ; Electronic computers. Computer science ; QA75.5-76.95
    Thema/Rubrik (Code) 006
    Sprache Chinesisch
    Erscheinungsdatum 2022-05-01T00:00:00Z
    Verlag Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Configurational conditions of national carbon intensity: a fuzzy set analysis of 136 countries.

    Mao, Yimin

    Environmental science and pollution research international

    2019  Band 26, Heft 31, Seite(n) 32446–32459

    Abstract: Drawing on the insights from the literature in environmental economics and politics, this study examines the configurational conditions of national carbon intensity by constructing a new analytical framework integrating six factors, i.e. population, ... ...

    Abstract Drawing on the insights from the literature in environmental economics and politics, this study examines the configurational conditions of national carbon intensity by constructing a new analytical framework integrating six factors, i.e. population, affluence, industrial structure, energy intensity, urbanization rate and democracy. A fuzzy set analysis of 136 countries shows that national carbon intensity is not determined by any single factor but rather by the combined effects of multiple factors. There are two configurational pathways to low-carbon development while four pathways to high-carbon development, each with its own configuration. Low-carbon development occurs most often in those affluent, highly urbanized and democratic countries with low intensity of energy use, while high-carbon development is most likely in those small, poor countries with high intensity of energy use. This study also shows that the role of particular factor should be understood in the context as its combinations with different sets of other factors may produce opposite effects on national carbon intensity. That is, the policy efforts concentrated on single factor may be ineffective to reduce carbon intensity. These findings permit a more contextualized and systematic understanding of the determinants of national carbon intensity.
    Mesh-Begriff(e) Carbon ; Economics/statistics & numerical data ; Politics ; Population Dynamics ; Urbanization
    Chemische Substanzen Carbon (7440-44-0)
    Sprache Englisch
    Erscheinungsdatum 2019-10-14
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-019-06471-6
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  3. Artikel: Landslide susceptibility assessment using deep learning considering unbalanced samples distribution.

    Mwakapesa, Deborah Simon / Lan, Xiaoji / Mao, Yimin

    Heliyon

    2024  Band 10, Heft 9, Seite(n) e30107

    Abstract: Landslide susceptibility assessment (LSA) is fundamental for managing landslide geological disasters. This study presents a deep learning approach (DNN-MSFM) designed to enhance LSA modeling, particularly addressing limitations caused by the unbalanced ... ...

    Abstract Landslide susceptibility assessment (LSA) is fundamental for managing landslide geological disasters. This study presents a deep learning approach (DNN-MSFM) designed to enhance LSA modeling, particularly addressing limitations caused by the unbalanced distribution of data samples in applied datasets. DNN-MSFM approach combines a deep neural network (DNN) and a mean squared false misclassification loss function (MSFM) to handle unbalanced samples from the algorithmic perspective. The model's performance was evaluated on an unbalanced dataset containing mapping units' records of 293 landslide samples and 653 non-landslide samples from the Baota District, China. Its effectiveness was assessed through statistical metrics and compared against DNN and Support Vector Machine (SVM) basic models. The results demonstrated a significant performance enhancement from the DNN-MSFM (OverallAccuracy = 0.889 and area under the receiver operating characteristic curve (AUC) = 0.84), indicating its effectiveness in learning the underlying landslide susceptibility features and demonstrating its ability to provide improved predictions even in areas with unbalanced landslide samples. Moreover, the study emphasizes the importance of considering balanced loss functions in training DNN under various imbalance degrees and contributes to expanding the applicability of DNN in LSA modeling. Also, this study builds a foundation for further enhancements of deep learning methods for geological disaster assessments.
    Sprache Englisch
    Erscheinungsdatum 2024-04-23
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e30107
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Chronic Thromboembolic Pulmonary Hypertension and ChronicThromboembolic Pulmonary Disease

    HUANG Shenshen / QIU Jiayong / MAO Yimin

    罕见病研究, Vol 2, Iss 1, Pp 17-

    2023  Band 26

    Abstract: Chronic thromboembolic pulmonary hypertension (CTEPH) and chronic thromboembolic pulmonary disease (CTEPD) are diseases that occur after acute pulmonary embolism resulting from residual and organized intra-pulmonary thrombus, with or without pulmonary ... ...

    Abstract Chronic thromboembolic pulmonary hypertension (CTEPH) and chronic thromboembolic pulmonary disease (CTEPD) are diseases that occur after acute pulmonary embolism resulting from residual and organized intra-pulmonary thrombus, with or without pulmonary hypertension(PH). The prognosis of these diseases has been dramatically improved with the continuous progress of treatment and the updated concept of the comprehensive treatment strategy. However, there is a lack of awareness of these diseases among medical practitioners, and a lack of epidemiological data in China, with unknown pathogenesis and non-specific clinical manifestations. Therefore, it is easy to misdiagnosis, underdiagnosis and delay diagnosis in clinical practice. To enhance the understanding of medical personnel, this paper summarizes the definition, epidemiology, pathology, pathogenesis, diagnosis and treatment of CTEPH and CTEPD.
    Schlagwörter chronic thromboembolic pulmonary hypertension ; chronic thromboembolic pulmonary disease ; pulmonary thromboembolism ; Medicine ; R
    Thema/Rubrik (Code) 610
    Sprache Chinesisch
    Erscheinungsdatum 2023-01-01T00:00:00Z
    Verlag Editorial Office of Journal of Rare Diseases
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel ; Online: Decentralization, national context and environmental policy performance: a fuzzy set qualitative comparative analysis.

    Mao, Yimin

    Environmental science and pollution research international

    2018  Band 25, Heft 28, Seite(n) 28471–28488

    Abstract: This study examines the complex relationship between decentralization, national context and environment policy performance with the cross-sectional data from 118 countries. Decentralization is decomposed into three dimensions: political, fiscal and ... ...

    Abstract This study examines the complex relationship between decentralization, national context and environment policy performance with the cross-sectional data from 118 countries. Decentralization is decomposed into three dimensions: political, fiscal and administrative. Both multiple regression analysis and fuzzy set qualitative comparative analysis are adopted. Results show that: (1) political, fiscal and administrative decentralization differ in their impacts on environmental policy performance. (2) There are multiple pathways, constituted by specific configurations of decentralization and context conditions, to high (or low) environmental policy performance. (3) High environmental policy performance occurs most often when a country is fiscally and administratively decentralized and its context is favorable, i.e. advanced economy, good governance and stringent environmental regulations. In this situation, political decentralization seems to be irrelevant to the outcome. (4) Low environmental policy performance occurs most often when a country, without the favorable context mentioned above, become fiscally centralized, regardless of whether political and administrative decentralization is present or not. This study suggests policy makers should keep in mind the contextual fit of decentralization and adopt a configurational thinking in environmental governance.
    Mesh-Begriff(e) Conservation of Natural Resources/legislation & jurisprudence ; Cross-Sectional Studies ; Environmental Policy/legislation & jurisprudence ; Humans ; Local Government ; Politics ; Public Policy ; Regression Analysis
    Sprache Englisch
    Erscheinungsdatum 2018-08-07
    Erscheinungsland Germany
    Dokumenttyp Journal Article ; Review
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-018-2846-9
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: Does democratic transition reduce carbon intensity? Evidence from Indonesia using the synthetic control method.

    Mao, Yimin

    Environmental science and pollution research international

    2018  Band 25, Heft 20, Seite(n) 19908–19917

    Abstract: Despite growing concern about the low-carbon economic development, little is known about the role of political institutions, democracy, or the absence thereof, in controlling carbon intensity (carbon dioxide emissions per unit of GDP). This paper ... ...

    Abstract Despite growing concern about the low-carbon economic development, little is known about the role of political institutions, democracy, or the absence thereof, in controlling carbon intensity (carbon dioxide emissions per unit of GDP). This paper estimates the causal effects of democratic transition in Indonesia on its national carbon emission intensity. The synthetic control method is adopted to handle both time-invariant and time-variant confounding heterogeneity. Results show that Indonesia's democratic transition increases on average 0.24 kg carbon dioxide emissions per constant 2005 US dollar in the post-transition period (1999-2010), a rise of approximately 25.34%. The placebo tests indicate this causal effect is significant and the leave-one-out sensitivity check also demonstrates its robustness. The evidence of Indonesia suggests that democratic transition may serve to intensify, rather than mitigate, the emissions of carbon dioxide. Therefore, policymakers should pay more attentions to the contextual fit of democratic transition.
    Mesh-Begriff(e) Carbon/analysis ; Carbon Dioxide/analysis ; Democracy ; Economic Development ; Indonesia
    Chemische Substanzen Carbon Dioxide (142M471B3J) ; Carbon (7440-44-0)
    Sprache Englisch
    Erscheinungsdatum 2018-05-08
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-018-2165-1
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  7. Artikel ; Online: VTE in ICU: Lessons from COVID-19.

    Chu, Xu / Mao, Yimin

    Intensive care research

    2022  Band 3, Heft 1, Seite(n) 92–94

    Sprache Englisch
    Erscheinungsdatum 2022-10-27
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ISSN 2666-9862
    ISSN (online) 2666-9862
    DOI 10.1007/s44231-022-00016-1
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel ; Online: A Biomimetic "Salting Out-Alignment-Locking" Tactic to Design Strong and Tough Hydrogel.

    Sun, Xia / Mao, Yimin / Yu, Zhengyang / Yang, Pu / Jiang, Feng

    Advanced materials (Deerfield Beach, Fla.)

    2024  , Seite(n) e2400084

    Abstract: Recently, hydrogel-based soft materials have demonstrated huge potential in soft robotics, flexible electronics as well as artificial skins. Although various methods are developed to prepare tough and strong hydrogels, it is still challenging to ... ...

    Abstract Recently, hydrogel-based soft materials have demonstrated huge potential in soft robotics, flexible electronics as well as artificial skins. Although various methods are developed to prepare tough and strong hydrogels, it is still challenging to simultaneously enhance the strength and toughness of hydrogels, especially for protein-based hydrogels. Herein, a biomimetic "salting out-alignment-locking" tactic (SALT) is introduced for enhancing mechanical properties through the synergy of alignment and the salting out effect. As a typical example, tensile strength and modulus of initially brittle gelatin hydrogels increase 940 folds to 10.12 ± 0.50 MPa and 2830 folds to 34.26 ± 3.94 MPa, respectively, and the toughness increases up to 1785 folds to 14.28 ± 3.13 MJ m
    Sprache Englisch
    Erscheinungsdatum 2024-03-22
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ZDB-ID 1474949-X
    ISSN 1521-4095 ; 0935-9648
    ISSN (online) 1521-4095
    ISSN 0935-9648
    DOI 10.1002/adma.202400084
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  9. Artikel ; Online: The Role of Bone Morphogenetic Protein 4 in Lung Diseases.

    Dong, Xiaoxiao / Mao, Yimin / Gao, Pengfei

    Current molecular medicine

    2023  Band 23, Heft 4, Seite(n) 324–331

    Abstract: Bone morphogenetic protein 4 (BMP4) is a multifunctional secretory protein that belongs to the transforming growth factor β superfamily. BMPs transduce their signaling to the cytoplasm by binding to membrane receptors of the serine/threonine kinase ... ...

    Abstract Bone morphogenetic protein 4 (BMP4) is a multifunctional secretory protein that belongs to the transforming growth factor β superfamily. BMPs transduce their signaling to the cytoplasm by binding to membrane receptors of the serine/threonine kinase family, including BMP type I and type II receptors. BMP4 participates in various biological processes, such as embryonic development, epithelial-mesenchymal transition, and maintenance of tissue homeostasis. The interaction between BMP4 and the corresponding endogenous antagonists plays a key role in the precise regulation of BMP4 signaling. In this paper, we review the pathogenesis of BMP4-related lung diseases and the foundation on which BMP4 endogenous antagonists have been developed as potential targets.
    Mesh-Begriff(e) Female ; Humans ; Pregnancy ; Bone Morphogenetic Protein 4/antagonists & inhibitors ; Bone Morphogenetic Protein 4/genetics ; Bone Morphogenetic Protein 4/metabolism ; Cytoplasm/genetics ; Cytoplasm/metabolism ; Embryonic Development/genetics ; Embryonic Development/physiology ; Epithelial-Mesenchymal Transition/genetics ; Epithelial-Mesenchymal Transition/physiology ; Lung Diseases/drug therapy ; Lung Diseases/genetics ; Lung Diseases/metabolism ; Protein Serine-Threonine Kinases
    Chemische Substanzen BMP4 protein, human ; Bone Morphogenetic Protein 4 ; Protein Serine-Threonine Kinases (EC 2.7.11.1)
    Sprache Englisch
    Erscheinungsdatum 2023-03-07
    Erscheinungsland Netherlands
    Dokumenttyp Review ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2064873-X
    ISSN 1875-5666 ; 1566-5240
    ISSN (online) 1875-5666
    ISSN 1566-5240
    DOI 10.2174/1566524022666220428110906
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  10. Artikel: Configurational conditions of national carbon intensity: a fuzzy set analysis of 136 countries

    Mao, Yimin

    Environmental science and pollution research international. 2019 Nov., v. 26, no. 31

    2019  

    Abstract: Drawing on the insights from the literature in environmental economics and politics, this study examines the configurational conditions of national carbon intensity by constructing a new analytical framework integrating six factors, i.e. population, ... ...

    Abstract Drawing on the insights from the literature in environmental economics and politics, this study examines the configurational conditions of national carbon intensity by constructing a new analytical framework integrating six factors, i.e. population, affluence, industrial structure, energy intensity, urbanization rate and democracy. A fuzzy set analysis of 136 countries shows that national carbon intensity is not determined by any single factor but rather by the combined effects of multiple factors. There are two configurational pathways to low-carbon development while four pathways to high-carbon development, each with its own configuration. Low-carbon development occurs most often in those affluent, highly urbanized and democratic countries with low intensity of energy use, while high-carbon development is most likely in those small, poor countries with high intensity of energy use. This study also shows that the role of particular factor should be understood in the context as its combinations with different sets of other factors may produce opposite effects on national carbon intensity. That is, the policy efforts concentrated on single factor may be ineffective to reduce carbon intensity. These findings permit a more contextualized and systematic understanding of the determinants of national carbon intensity.
    Schlagwörter carbon ; energy ; environmental economics ; issues and policy ; politics ; urbanization
    Sprache Englisch
    Erscheinungsverlauf 2019-11
    Umfang p. 32446-32459.
    Erscheinungsort Springer Berlin Heidelberg
    Dokumenttyp Artikel
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-019-06471-6
    Datenquelle NAL Katalog (AGRICOLA)

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