Search alternatives:
source » sources (Expand Search)
Showing 2,001 - 2,020 results of 12,661 for search 'source value', query time: 0.16s Refine Results
  1. 2001
  2. 2002

    Comparison of Heavy Metal Pollution, Health Risk, and Sources Between Surface and Deep Layers for an Agricultural Region Within the Pearl River Delta: Implications for Soil Environ... by Zhenwei Bi, Yu Guo, Zhao Wang, Zhaoyu Zhu, Mingkun Li, Tingping Ouyang

    Published 2025-06-01
    “…Principal component analysis (PCA) and the positive matrix factorization (PMF) receptor model were combined to analyze heavy metal sources. The results indicated that average concentrations of all heavy metals exceeded their corresponding background values. …”
    Get full text
    Article
  3. 2003
  4. 2004

    Energy, Exergy, and Exergo-Sustainability Analysis of a Brayton S-CO<sub>2</sub>/Kalina Operating in Araçuaí, Brazil, Using Solar Energy as a Thermal Source by Juan Córdoba, Guillermo Valencia, Branda Molina

    Published 2025-02-01
    “…The results show that at 900 °C the maximum values of thermal efficiency (56.67%), net power (186.55 kW), and destroyed exergy (621.62 kW) were reached, while the maximum exergy efficiency, 24.92%, was achieved at 700 °C. …”
    Get full text
    Article
  5. 2005
  6. 2006
  7. 2007
  8. 2008

    Gas chromatography for analysis and estimation of 13C at natural abundance level in fatty acids produced from Aurantiochytrium limacinum, a sustainable source of polyunsaturated fa... by Amina M. Dirir, Kaumeel Chokshi, Kaumeel Chokshi, Abdelmoneim H. Ali, Media Alhanawi, Mohan Rommala, Mayssa Hachem, Mayssa Hachem

    Published 2025-07-01
    “…Aurantiochytrium limacinum (A. limacinum) is a promising microbial source of polyunsaturated fatty acids (PUFAs), particularly Docosahexaenoic Acid (DHA, C22:6n-3). …”
    Get full text
    Article
  9. 2009

    Identifying missing sources and reducing NO<sub><i>x</i></sub> emissions uncertainty over China using daily satellite data and a mass-conserving method by L. Lu, L. Lu, J. B. Cohen, J. B. Cohen, K. Qin, K. Qin, X. Li, X. Li, Q. He, Q. He

    Published 2025-02-01
    “…Source attribution based on the thermodynamics of combustion temperature, atmospheric transport, and in situ atmospheric processing successfully identifies five different industrial source types. …”
    Get full text
    Article
  10. 2010
  11. 2011

    Computational work of casson rheology on 3D swirling plate employing yamada-ota and xue models by Jabr Aljedani, Hakim AL Garalleh, Umar Nazir, Muhammad Sohail, Ibrahim Mahariq, Abd Allah A. Mousa, Afnan Al Agha

    Published 2024-12-01
    “…Thermal energy incorporates solar radiation, Soret and heat sources while transportation of species happens utilizing activation energy and Dufour impact. …”
    Get full text
    Article
  12. 2012

    Enhancing Storm Wave Predictions in the Gulf of Mexico: A Study on Wind Drag Parameterization in WAVEWATCH III by C. Gowri Shankar, Mustafa Kemal Cambazoglu

    Published 2025-02-01
    “…The ST6 and ST6-IWD schemes performed well for the hurricane scenario and the wave parameters obtained from these two sets of simulations were in good agreement with the observed values. The wind source term derived in the ST6 scheme holds good for wind speeds up to 50 m/s, whereas the drag method in ST6-IWD could remain stable up to ~113 m/s wind speeds. …”
    Get full text
    Article
  13. 2013

    Multi-hazard susceptibility mapping in the Salt Lake watershed by Sima Pourhashemi, Mohammad Ali Zangane Asadi, Mahdi Boroughani

    Published 2025-04-01
    “…After landslides, floods and dust source areas (24.8 and 8.3 %, respectively) are the next most important hazard. …”
    Get full text
    Article
  14. 2014

    AI-driven data fusion modeling for enhanced prediction of mixed-mode I/III fracture toughness by Anantaya Timtong, Atthaphon Ariyarit, Wanwanut Boongsood, Prasert Aengchuan, Attasit Wiangkham

    Published 2024-12-01
    “…By employing adaptive boosting and general regression neural network algorithms, the models developed in this research demonstrate a marked improvement in predictive performance compared to traditional primary source models. Additionally, a feature importance analysis using Shapley Additive exPlanations values reveals that the mode mixity parameter, specimen thickness, and radius are critical factors influencing fracture toughness. …”
    Get full text
    Article
  15. 2015

    Coffee innovation and sustainability – organomineral fertilizers noteworthy results by Raquel Pinheiro da Mota, Reginaldo de Camargo, Miguel Henrique Rosa Franco, Gleice Aparecida de Assis, Risely Ferraz-Almeida, Ernane Miranda Lemes

    Published 2025-08-01
    “…Purpose: Coffee is a highly valued commodity and demands high nutritional inputs for its vegetative and reproductive development. …”
    Get full text
    Article
  16. 2016
  17. 2017

    A virtual simulation study of the effects of laparotomy incision location and wound stiffness on abdominal wall mechanics by Lluís Tuset, Manuel López-Cano, Gerard Fortuny, Josep M. López, Joan Herrero, Dolors Puigjaner

    Published 2025-05-01
    “…Finite element simulations for IAP values between 4 and 20 kPa and with the SW tissue strength ranging from very soft to very stiff were conducted using the code Aster open-source software. …”
    Get full text
    Article
  18. 2018
  19. 2019

    Chemo-mechanical characterization and data-driven correlation analysis of rejuvenated bitumen via artificial neural network by Shisong Ren, Mahmoud Khadijeh, Eli I. Assaf, Xueyan Liu, Sandra Erkens

    Published 2025-08-01
    “…This study investigates how bitumen source, aging degree, rejuvenator type and dosage influence the chemical and rheological performance of rejuvenated bitumen. …”
    Get full text
    Article
  20. 2020

    Spatiotemporal Mapping of Soil Profile Moisture in Oases in Arid Areas by Zihan Zhang, Jinjie Wang, Jianli Ding, Jinming Zhang, Li Li, Liya Shi, Yue Liu

    Published 2025-08-01
    “…This study focuses on the Wei-Ku Oasis in Xinjiang, using multi-source remote sensing data (Landsat series and Sentinel-1) and in situ multi-layer soil moisture measurements. …”
    Get full text
    Article