Showing 121 - 140 results of 409 for search 'modeling of the (show OR how) spatial distribution', query time: 0.13s Refine Results
  1. 121

    First passage time analysis of spatial mutation patterns reveals sub-clonal evolutionary dynamics in colorectal cancer. by Magnus J Haughey, Aleix Bassolas, Sandro Sousa, Ann-Marie Baker, Trevor A Graham, Vincenzo Nicosia, Weini Huang

    Published 2023-03-01
    “…The signature of early cancer dynamics on the spatial arrangement of tumour cells is poorly understood, and yet could encode information about how sub-clones grew within the expanding tumour. …”
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  2. 122

    How to optimize ecological compensation to alleviate the ecosystem services supply and demand mismatch in the Luo River Basin? by Huimin Zhou, Xuning Qiao, Yongju Yang, Jinyuan Zhang, Qianxi Zheng, Hongfei Gao, Tongqian Zhao

    Published 2025-09-01
    “…This study examines the Luo River Basin and applies theories of externalities and environmental justice. The InVEST and spatial analysis models are used to evaluate the supply and demand of four ESs—carbon sequestration (CS), food production (FP), soil retention (SR), and water yield (WY)—from 2000 to 2020. …”
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  3. 123

    The Effect of Human and Spatial Crowding on Repurchase Intention in Restaurant Using Brand and Customer Satisfaction as a Mediation Variable by Husna Ulinnuha, Budi Setiawan, Riyanti Isaskar, Agustina Shinta Hartati Wahyuningtyas

    Published 2025-05-01
    “…The results showed that human and spatial crowding affects brand image, brand image affects brand attachment and customer satisfaction, brand attachment and customer satisfaction affect repurchase intention, and human and spatial crowding influence repurchase intention through brand image, brand attachment, and customer satisfaction as mediation. …”
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  4. 124

    Soil Quality Assessment in the Mashhad Plain, Northeast Iran (A Minimum Data Set and Spatial Analysis Approach) by Amin Mousavi, Alireza Karimi, Seyed Kazem Alavipanah, Ashraf Malekian, Tayebeh Safari

    Published 2024-12-01
    “…IQIwL_MDS yielded the highest SQI, while IQIwNL_MDS produced the lowest. The nonlinear model (R² = 0.89) showed a stronger correlation between MDS and TDS than the linear model (R² = 0.76), underscoring the nonlinear model’s predictive accuracy. …”
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  5. 125
  6. 126

    Exploring the impact of urban spatial morphology on land surface temperature: A case study in Linyi City, China. by Yongyu Feng, Huimin Wang, Jing Wu, Yan Wang, Hui Shi, Jun Zhao

    Published 2025-01-01
    “…The Geographically Weighted Regression (GWR) model outperforms the Spatial Error Model (SEM) and Ordinary Least Squares (OLS) model, making it more suitable for exploring these relationships. …”
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  7. 127

    Assessing early detection ability through spatial arrangements in environmental surveillance for poliovirus: A simulation-based study. by Toshiaki R Asakura, Kathleen M O'Reilly

    Published 2025-01-01
    “…While environmental surveillance (ES) is promising for enhancing early pathogen detection, the influence of spatial arrangement of ES sites on early detection remains unclear. …”
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  8. 128

    Study on the distribution characteristics and seismic hazard evaluation of loess seismic landslides in the southern Ningxia area by Shun Yang, Xin Han, Chaoyu Chang, Sihan Yu, Yin Wang, Da Peng

    Published 2025-07-01
    “…Further analysis reveals that the spatial distribution of landslides is mainly influenced by the comprehensive effects of seismic motion intensity, loess cover thickness, type of fault rupture, and hydrological conditions. …”
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  9. 129
  10. 130

    Spatiotemporal Changes and Effects of Urban Commercial Bank Expansion in the Yangtze River Economic Belt, China by Li Yingyi, Zhao Jinli

    Published 2025-07-01
    “…Therefore, we used unbalanced panel data from 46 urban commercial banks in the Yangtze River Economic Belt from 1996 to 2023 with spatial network analysis and econometric modeling to delineate the spatiotemporal changes related to both endogenous and exogenous expansions. …”
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  11. 131
  12. 132

    A condition diagnosis method for subway track structures employing distributed optical fiber sensing by Hong Han, Xiaopei Cai, Liang Gao

    Published 2025-08-01
    “…Therefore, a new method for diagnosing subway track structure states based on distributed fiber sensing is proposed. First, a method for constructing a correlation model for strain monitoring data based on the optimal space window is proposed to realize the division of measuring points to reduce the computational complexity, and then, the deep generative adversarial network model with residual learning is constructed. …”
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  13. 133

    Predicting current and future potential distribution of Changnienia amoena in China under global climate change by Xingjian Liu, Qimeng Sun, Tingting Li, Shu’an Wang, Jiahao Shen, Yueqi Sun, Mimi Li

    Published 2025-05-01
    “…This study uses 48 distribution records and 19 environmental variables to simulate and predict the potential distribution and spatial pattern changes of C. amoena under different future gas emission scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5) for both the 2050s and 2090s. …”
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  14. 134

    Dual-modality ultrasound/photoacoustic tomography for mapping tissue oxygen saturation distribution in intestinal strangulation by Jie Zhou, Mengchuan Ou, Bo Yuan, Bingzi Yan, Xichuan Wang, Shuaiqi Qiao, Yijie Huang, Lian Feng, Lin Huang, Yan Luo

    Published 2025-06-01
    “…In this study, US/PAT was utilized for imaging rat models of IO, with the data used for reconstruction, statistical analysis, and distribution evaluation. …”
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  15. 135

    A systematic review of the distribution and prevalence of viruses detected in the Peromyscus maniculatus species complex (Rodentia: Cricetidae). by Ally Finkbeiner, Ahmad Khatib, Nathan Upham, Beckett Sterner

    Published 2025-06-01
    “…We conducted a systematic review investigating the prevalence and spatial distribution of viral taxa detected in wild populations allocated to P. maniculatus. …”
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  16. 136

    How does ecological compensation change in Hubei Province based on a multi-scenario simulation of ecosystem services value? by Shuxian Wang, Chao Liu, Xinhai Lu, Xia Hong, Shuangyu Yang

    Published 2025-07-01
    “…Therefore, this study predicted the spatio-temporal evolution of ecosystem service value (ESV) and ecological footprint using the FLUS and GM (1,1) models in Hubei Province. Based on this, the spatial and temporal changes of the EC under different scenarios were explored. …”
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  17. 137

    Data Biases in Geohazard AI: Investigating Landslide Class Distribution Effects on Active Learning and Self-Optimizing by Jing Miao, Zhihao Wang, Tianshu Ma, Zhichao Wang, Guoming Gao

    Published 2025-06-01
    “…Data bias in geohazard artificial intelligence (AI) systems, particularly class distribution imbalances, critically undermines the reliability of landslide detection models. …”
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  18. 138

    A Study on Distributed Multi-Sensor Fusion for Nonlinear Systems Under Non-Overlapping Fields of View by Liu Wang, Yang Zhou, Wenjia Li, Lijuan Shi, Jian Zhao, Haiyan Wang

    Published 2025-07-01
    “…To explore how varying viewpoints influence the accuracy of distributed fusion in asynchronous, nonlinear visual-field systems, this study investigates fusion strategies for multi-target tracking. …”
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  19. 139

    Spatiotemporal distribution patterns and influencing factors of marathon events: A case study of Shandong province, China by Xinlong Zhao, Yan Wang, Junjin Chen

    Published 2025-07-01
    “…The results indicate: (1) Regionally, marathon events exhibit significant distribution disparities, with a dispersed spatial layout and a diffusion trend along the northeast-southwest axis, gradually shifting toward inland western areas. …”
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  20. 140

    Contrasting Patterns of Raccoon (Procyon lotor) Spatial Population Genomics Throughout a Rabies Management Area in Eastern North America by Matthew W. Hopken, Clara P. Mankowski, Christine Thurber, Antoinette J. Piaggio, Kathleen M. Nelson, Richard B. Chipman, Zaid Abdo, Tore Buchanan, Ariane Massé, Amy T. Gilbert

    Published 2025-05-01
    “…However, spatially informed population genetic approaches are notable for high‐resolution identification of geographic clusters that often elude more classical clustering models. …”
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