Search alternatives:
structures » structure (Expand Search)
structural » structure (Expand Search)
variation » variations (Expand Search)
Showing 2,221 - 2,240 results of 9,442 for search '(structures OR structural) variation', query time: 0.20s Refine Results
  1. 2221

    Genetic relationship analysis and core collection construction of Eucalyptus grandis from Dongmen improved variety base: the largest eucalypt germplasm resource in China by Chenhe Li, Lei Zhang, Zhibang Peng, Xia Li, Zhao Liu, Te Lu, Xiangyang Kang, Jun Yang

    Published 2024-12-01
    “…The polymorphism information content (PIC) was employed to assess genetic diversity, yielding a mean value of 0.707. Genetic structure analysis was conducted on 492 individuals from 13 combined populations, revealing three clusters as the most suitable number. …”
    Get full text
    Article
  2. 2222

    Mind the leaf anatomy while taking ground truth with portable chlorophyll meters by Zuzana Lhotáková, Eva Neuwirthová, Markéta Potůčková, Lucie Červená, Lena Hunt, Lucie Kupková, Petr Lukeš, Petya Campbell, Jana Albrechtová

    Published 2025-01-01
    “…On laminar leaves, all instruments performed well for chlorophyll content estimation (R2 > 0.80, nRMSE < 15%), regardless of the variation in their specific internal structure (mesomorphic, scleromorphic, or scleromorphic with hypodermis), similarly to the performance of four reflectance indices (R2 > 0.90, nRMSE < 16%). …”
    Get full text
    Article
  3. 2223

    Land use change has profoundly altered the process of bacterial community assembly in the northeastern black soil zone by Ning Sun, Xu Zhao, Xu Zhao, Fangyuan Liu, Fangyuan Liu, Ge Song, Mengmeng Zhang, Fuqiang Song

    Published 2025-08-01
    “…The Average Variation Degree (AVD) indicated that bacterial communities in cropland soils had greater compositional stability. …”
    Get full text
    Article
  4. 2224

    Compressed Sensing of Vibration Signal for Fault Diagnosis of Bearings, Gears, and Propellers Under Speed Variation Conditions by Yuki Kato, Masayoshi Otaka

    Published 2025-05-01
    “…In the fields of fault diagnosis and structural health monitoring using sound and vibration, there is increasing interest in data compression techniques based on Compressed Sensing (CS). …”
    Get full text
    Article
  5. 2225

    Spatio-temporal Variation Characteristics and Influencing Factors of Bank Collapse in Reservoir Area of Jinghong Hydropower Station by LIANG Ruifeng, XU Peng

    Published 2020-01-01
    “…The reservoir area of Jinghong hydropower station belongs to the medium mountain canyon landform with variable stratum lithologies and complex geological structures.By investigation and review of bank collapse in the reservoir area in 2009,2012,2014 and 2019,this paper summarizes and analyzes the temporal-spatial variation characteristics and influencing factors of bank collapse.The results show that:①Up to the survey period in 2019,there are 299 bank collapses in the reservoir area.The bank collapse with volume between 10~100 m<sup>3</sup> occupies the first place,130 bank collapses stop developing and 169 bank collapses are developing;②The number of bank collapse is increasing year by year;the bank collapses are mainly distributed in the reservoir section with steep terrain,thicker loose layer and strong weathered rock;the reservoir area is mainly characterized by small-scale bank collapse,but there is a trend of gradual expansion;the increase of bank collapses which are developing is obviously slowing down and the bank collapses in earlier stage show a gradually stable state;③Specific topography,thicker loose layer,economic trees which are unfavorable to soil and water conservation,and frequent human production activities are the main factors for bank collapses.…”
    Get full text
    Article
  6. 2226

    Protocol for finding genetic variation associated with unmeasured traits through GenomicSEM common-factor GWAS by Keira J.A. Johnston, Rebecca Signer, Laura M. Huckins

    Published 2025-09-01
    “…Summary: Here, we present a protocol for finding genetic variation associated with unmeasured traits using common-factor genome-wide association study (GWAS) using genomic structural equation modeling (GenomicSEM), applied here to nociplastic pain. …”
    Get full text
    Article
  7. 2227

    Stress variations and non-shear earthquakes before the 2021 Iceland eruption trace magmatic fluid flow by Pavla Hrubcová, Václav Vavryčuk, Tomáš Fischer, Jana Doubravová

    Published 2025-07-01
    “…Notably, crack closing dominated shallow, fractured crust, associated with surface subsidence above the dike, while crack opening occurred within the impermeable crust, suggesting overpressured fluids trapped at structural barriers. These variations highlight the role of fluid-rock interactions and anisotropic permeability in driving fault behaviour. …”
    Get full text
    Article
  8. 2228
  9. 2229

    Leveling method for airborne electromagnetic data based on the curvelet transform and adaptive group-sparse variational model by Qiong Zhang, Xin Chen, Haomiao Wang, Zhonghang Ji, Fei Yan, Yunqing Liu

    Published 2025-04-01
    “…The multi-scale and multi-directional properties of the curvelet transform, together with the directional and structural characteristics of leveling errors, facilitate the development of a group-sparse variational model for curvelet sub-band coefficients. …”
    Get full text
    Article
  10. 2230
  11. 2231

    Pharmacological investigations of N-substituent variation in morphine and oxymorphone: opioid receptor binding, signaling and antinociceptive activity. by Tanila Ben Haddou, Szabolcs Béni, Sándor Hosztafi, Davide Malfacini, Girolamo Calo, Helmut Schmidhammer, Mariana Spetea

    Published 2014-01-01
    “…Herein, we describe the effect of N-substituent variation in morphine and oxymorphone on in vitro and in vivo biological properties and the emerging structure-activity relationships. …”
    Get full text
    Article
  12. 2232
  13. 2233
  14. 2234

    Environmental DNA analysis at multiple taxonomic levels highlights geographic variation in subtropical coastal marine communities by Kodai Gibu, Kohei Hamamoto, Keita Koeda, Miyuki Nishijima, Hiroki Kise, Masaru Mizuyama, Atsushi Suzuki, Nobuyuki Aoki, Nina Yasuda, Akira Iguchi

    Published 2025-07-01
    “…This can then be used to promote understanding of geographic variations of marine community structures of eukaryotes, including fish.…”
    Get full text
    Article
  15. 2235
  16. 2236
  17. 2237

    AngleCam: Predicting the temporal variation of leaf angle distributions from image series with deep learning by Teja Kattenborn, Ronny Richter, Claudia Guimarães‐Steinicke, Hannes Feilhauer, Christian Wirth

    Published 2022-11-01
    “…Abstract Vertical leaf angles and their variation through time are directly related to several ecophysiological processes and properties. …”
    Get full text
    Article
  18. 2238
  19. 2239

    Anatomical variations in 3D imaging: A case report of a dorsal metacarpal artery anomaly by Shin-Yun Chen, Wei-Ta Chen, Tsorng-Harn Fong, Jiun-Lin Horng, Cheng-Ying Chu, Haojan Yang, Tien-Chun Yang

    Published 2024-11-01
    “…To elucidate these unique variations, we employ three-dimensional (3D) imaging techniques, demonstrating the potential of these technologies to advance the visualization of anatomical structures and enhance medical education. 3D imaging also facilitates augmented reality applications and 3D printing. …”
    Get full text
    Article
  20. 2240

    Geographic Characteristics and Meteorological Factors Dominate the Variation of Chlorophyll‐a in Lakes and Reservoirs With Higher TP Concentrations by Hanxiao Zhang, Shouliang Huo, Lian Feng, Chunzi Ma, Wenpan Li, Yong Liu, Fengchang Wu

    Published 2024-06-01
    “…Further, we discovered unexpected effects of geographical features (i.e., latitude, longitude, and slope) and meteorological factors (i.e., air temperature) on Chl‐a concentrations in the lakes and reservoirs with higher TP concentrations (>0.041 mg L−1 for lakes and >0.027 mg L−1 for reservoirs), through the use of multiple regression trees and structural equation model analysis. Our findings underscore the importance of (a) implementing flexible nutrient pollution control approaches based on nutrient ecoregions that consider geographical variations, and (b) developing mitigation and adaptation strategies to address the uncertain risks posed by climate change in the prevention and control of eutrophication in lakes and reservoirs.…”
    Get full text
    Article