Showing 8,601 - 8,620 results of 9,440 for search 'Mrnorth~', query time: 2.32s Refine Results
  1. 8601

    South American species <i>Solanum alandiae</i> Card. and <i>S. okadae</i> Hawkes et Hjerting as potential sources of genes for potato late blight resistance by O. A. Muratova (Fadina), M. P. Beketova, M. A. Kuznetsova, E. V. Rogozina, E. E. Khavkin

    Published 2020-04-01
    “…Most wild species already involved in breeding for LB resistance came from North and Central Americas: series Bulbocastana (Rydb.) …”
    Get full text
    Article
  2. 8602

    The Effect of Land Cover Change on Soil Properties around Kibale National Park in South Western Uganda by J. G. M. Majaliwa, R. Twongyirwe, R. Nyenje, M. Oluka, B. Ongom, J. Sirike, D. Mfitumukiza, E. Azanga, R. Natumanya, R. Mwerera, B. Barasa

    Published 2010-01-01
    “…Each of these land-uses were selected at two different North facing landscape positions and were replicated three times. …”
    Get full text
    Article
  3. 8603
  4. 8604

    An Assessment of the Efficiency of Dust Regional Modelling to Predict Saharan Dust Transport Episodes by D. K. Papanastasiou, A. Poupkou, E. Katragkou, V. Amiridis, D. Melas, N. Mihalopoulos, S. Basart, C. Pérez, J. M. Baldasano

    Published 2010-01-01
    “…Aerosol levels at Mediterranean Basin are significantly affected by desert dust that is eroded in North Africa and is transported northwards. This study aims to assess the performance of the Dust REgional Atmospheric Model (BSC-DREAM8b) in the prediction of dust outbreaks near the surface in Eastern Mediterranean. …”
    Get full text
    Article
  5. 8605

    LiDAR point cloud denoising for individual tree extraction based on the Noise4Denoise by Xiangfei Lu, Zongyu Ye, Liyong Fu, Huaiyi Wang, Kaiyu Wang, Yaquan Dou, Dongbo Xie, Xiaodi Zhao

    Published 2025-01-01
    “…The processing of LiDAR point cloud data is of critical importance in the context of forest resource surveys, as well as representing a pivotal element in the realm of forest physiological and ecological studies.Nonetheless, conventional denoising algorithms frequently exhibit deficiencies with regard to adaptability and denoising efficacy, particularly when employed in relation to disparate datasets.To address these issues, this study introduces DEN4, an unsupervised, deep learning-based point cloud denoising algorithm designed to improve the accuracy of single tree segmentation in LiDAR point clouds.DEN4 introduces a multilevel noise separation module that effectively distinguishes between signal and noise, thereby improving the signal-to-noise ratio (SNR) and reducing the error.The experimental results demonstrate that DEN4 significantly outperforms traditional denoising methods in several key metrics, including mean square error (MSE), SNR, Hausdorff distance, and structural similarity index (SSIM).In the 60 sample dataset, DEN4 achieved the best mean and standard deviation on all metrics: Specifically, the MSE mean was found to be 0.0094, with a standard deviation of 0.0008, the SNR mean was 149.1570, with a standard deviation of 0.5628, the Hausdorff mean was 0.8503, with a standard deviation of 0.0947, and the SSIM mean was 0.8399, with a standard deviation of 0.0054. …”
    Get full text
    Article
  6. 8606
  7. 8607

    Resource availability and competition shape pollinator trophic specialization in longleaf pine savannas by Pablo Moreno-García, Johanna E. Freeman, Benjamin Baiser, Joshua W. Campbell, Daijiang Li

    Published 2025-03-01
    “…We used samples collected over an entire flowering season in 24 xeric pine savannas in north-central Florida, USA and evaluated the effects of plant availability and pollinator competitor pool on three aspects of trophic specialization: taxonomic specialization (pollinator selection of plant species), phylogenetic specialization (pollinator selection of plant phylogenetic lineages), and functional specialization (pollinator selection of plant functional traits). …”
    Get full text
    Article
  8. 8608

    Risk Factors Associated with Leishmaniasis in the Most Affected Provinces by Leishmania infantum in Morocco by Maryam Hakkour, Asmae Hmamouch, Mohamed Mahmoud El Alem, Abdelhakim Bouyahya, Abdelaali Balahbib, Abdelhak EL Khazraji, Hajiba Fellah, Abderrahim Sadak, Faiza Sebti

    Published 2020-01-01
    “…This study concerned nine provinces located in the extreme and central north of Morocco (Taounate, Taza, Chefchaouen, Al Hoceima, Larache, Tétouane, Tanger-Assilah, M’diq-Fnideq, and Fahs-Anjra Provinces). …”
    Get full text
    Article
  9. 8609
  10. 8610
  11. 8611
  12. 8612
  13. 8613
  14. 8614
  15. 8615
  16. 8616
  17. 8617
  18. 8618
  19. 8619
  20. 8620

    Assessing water dependencies and risks in Dutch industries: Distribution, consumption and future challenges by C.J. Teo, J. Poinapen, J.A.M.H. Hofman, T. Wintgens

    Published 2025-06-01
    “…The future projection showed baseline water stress impacts the security of water supply of industries at different magnitude. Particularly, North Brabant and Limburg stood out as particularly vulnerable. …”
    Get full text
    Article