Showing 3,181 - 3,200 results of 4,920 for search 'sources optimization methods', query time: 0.18s Refine Results
  1. 3181

    Efficiency improvement in silicon and perovskite solar cells through nanofluid cooling using citrate and PVP stabilized silver nanoparticles by Shankar Rajukkannu, Wasurat Bunpheng, Ratchagaraja Dhairiyasamy, V. Gopinath

    Published 2025-01-01
    “…Future research should refine the experimental design, increase sample size, and explore other nanoparticle types and stabilization methods to optimize solar cell efficiency and thermal management. …”
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  2. 3182

    Impact of glucose and propionic acid on even and odd chain fatty acid profiles of oleaginous yeasts by Veronica Bonzanini, Majid Haddad Momeni, Kim Olofsson, Lisbeth Olsson, Cecilia Geijer

    Published 2025-02-01
    “…When using the OCFAs precursor propionic acid as the sole carbon source, only eight strains exhibited growth, with tolerance to propionic acid concentrations between 5 and 29 g/L. …”
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  3. 3183
  4. 3184

    Research of edge-aligned staggered double-vane traveling-wave tube at G-band by Wenbo Wang, Cunjun Ruan, Pengpeng Wang, Yaqi Zhao, Tianyi Xu

    Published 2025-03-01
    “…Results show that under the optimization of the efficiency improving methods of the TWT, a considerable power output can be realized. …”
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  5. 3185

    Analysis of Landscape Fragmentation Evolution Characteristics and Driving Factors in the Wei River Basin, China by Changzheng Gao, Qisen Dang, Chu Li, Yongming Fan

    Published 2025-03-01
    “…The edge density index (ED), the landscape division index (DIVISION), the landscape shape index (LSI), and the Shannon diversity index (SHDI) have increased annually, while the contagion index (CONTAG) and area-weighted mean patch size (Area_AM) have continuously decreased; (2) Landscape fragmentation in the Wei River basin is characterized by stable changes in the source and tributary fragmentation areas, a concentrated distribution of fragmentation in the tributaries, and a significant increase in fragmentation in the main stream; (3) The analysis using the geographic detector method indicates that vegetation coverage (FVC), human activity intensity (HAI), and land use/land cover change (LUCC) are the main driving factors of landscape fragmentation in the Wei River basin. …”
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  6. 3186

    Research on a PTSD Risk Assessment Model Using Multi-Modal Data Fusion by Youxi Luo, Yucui Shang, Dongfeng Zhu, Tian Zhang, Chaozhu Hu

    Published 2025-06-01
    “…Therefore, traditional single data source assessment methods are difficult to fully understand and evaluate the complexity of PTSD. …”
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  7. 3187

    Application of Machine Learning Algorithms to Predict Gas Sorption Capacity in Heterogeneous Porous Material by Tasbiha Ibad, Syed Muhammad Ibad, Haylay Tsegab, Rabeea Jaffari

    Published 2025-05-01
    “…Shale gas is a clean and effective energy source that plays a big part in the transition from high-carbon to low-carbon energy, serving as a link for the growth of low-carbon energy in the future. …”
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  8. 3188

    Actinomycete-Derived Pigments: A Path Toward Sustainable Industrial Colorants by Blanca Hey Díez, Cristiana A. V. Torres, Susana P. Gaudêncio

    Published 2025-01-01
    “…Scale-up of production and yield optimization challenges have been circumvented with the aid of biotechnology advancements, including genetic engineering and innovative fermentation and extraction methods, which have enhanced these bio-pigments’ viability and cost-competitiveness. …”
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  9. 3189

    DNA State Influences the Uptake and Persistence of Environmental DNA by Marine Sponge Natural Samplers by Rosalie Dowell, Jamie Craggs, Catherine Head, Chris Yesson, Emma Ransome

    Published 2025-05-01
    “…ABSTRACT Marine sponges as natural samplers of environmental DNA (eDNA) are receiving growing attention as an untapped source of biodiversity data. However, little is known about the state of DNA (e.g., cellular or extracellular) that is captured by these samples and how this compares to conventional aquatic eDNA samples. …”
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  10. 3190
  11. 3191

    Medium- Long-Term Runoff Forecasting Using Interpretable Hybrid Machine Learning Model for Data-Scarce Regions by YOU Yu-jun, BAI Yun-gang, LU Zhen-lin, ZHANG Jiang-hui, CAO Biao, LI Wen-zhong, YU Qi-ying

    Published 2025-07-01
    “…An Improved Particle Swarm Optimization (IPSO) algorithm was used to optimize this model, forming the IPSO-CNN-BiGRU-Attention hybrid model. …”
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  12. 3192

    Blind signal separation algorithm based on temporal predictability and differential search algorithm by Lei CHEN, Li-yi ZHANG, Yan-ju GUO, Yong HUANG, Jing-yi LIANG

    Published 2014-06-01
    “…The source signal component separated was wiped off using deflation method and all the source signals could be recovered successfully by repeating the separation process. …”
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  13. 3193

    Rock Fracture Monitoring Based on High-Precision Microseismic Event Location Using 3D Multiscale Waveform Inversion by Yi Wang, Xueyi Shang, Kang Peng, Rui Gao

    Published 2020-01-01
    “…In this paper, we will introduce the rapidly developed waveform inversion-based location method into a mine MS field study. On this basis, the wavefields were modeled by utilizing a high-resolution 3D velocity model, a fractional-order Gaussian wavelet source-time function, and spectral element method (SEM) wavefield modeling. …”
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  14. 3194

    Application of five seismic attributes in natural fracture prediction for deep coalbed methane production along the eastern margin of the Ordos Basin by Jiangnan TONG, Feng WANG, Feng ZHANG, Wei HOU, Zhongbai LI, Liang JI, Yanan JIANG, Wei SUN

    Published 2025-04-01
    “…The verification using multi-source data, including formation micro-imaging (FMI) logs, array acoustic logs, and fracturing curves, indicates that the azimuthal statistical method exhibited higher reliability in predicting fracture orientation (coincidence rate: 89 %) and developmental degree (prediction accuracy: 88.5 %). …”
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  15. 3195

    LiDGS: An efficient 3D reconstruction framework integrating lidar point clouds and multi-view images for enhanced geometric fidelity by Li Yan, Jiang Song, Hong Xie, Pengcheng Wei, Gang Li, Longze Zhu, Zhongli Fan, Shucheng Gong

    Published 2025-08-01
    “…The experimental results show that the method achieves superior performance in both the new view synthesis task and the 3D reconstruction task, outperforming other classical methods. …”
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  16. 3196

    Current directions of cooperation between Ukraine and EU countries in the field of healthcare by Leonid Taraniuk, Renata Korsakiene, Karina Taraniuk, Kateryna Rubanenko

    Published 2022-09-01
    “…Systematization of literature sources and scientific approaches to optimizing cooperation between Ukraine and EU countries has shown that the issue of forming effective ties between Ukraine and EU countries in the martial law of Ukraine remains unresolved, and aspects of optimizing work between Ukraine and EU countries in the direction of investment humanitarian support of the medical sphere of Ukraine. …”
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  17. 3197

    Predictive model on employee stock ownership impacting corporate performance by Yiping Huang, Shixin Huang, Xiangjian Chen

    Published 2025-07-01
    “…The study also provides empirical data basis and decision support for the design and optimization of ESOPs during the transformation of smart manufacturing.…”
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  18. 3198

    Recent Advances and Future Prospects of Lithium Recovery from Low-Grade Lithium Resources: A Review by Jihan Gu, Binjun Liang, Xianping Luo, Xin Zhang, Weiquan Yuan, Bin Xiao, Xuekun Tang

    Published 2024-12-01
    “…Future research should focus on improving the selectivity and efficiency of extraction and processing technologies, optimizing separation processes, and developing green and cost-effective extraction methods. …”
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  19. 3199

    Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook by Pengcheng Xue, Rui Qiu, Chuchuan Peng, Zehang Peng, Kui Ding, Rui Long, Liang Ma, Qifeng Zheng

    Published 2024-12-01
    “…Abstract The application of machine learning (ML) techniques in the lithium battery field is relatively new and holds great potential for discovering new materials, optimizing electrochemical processes, and predicting battery life. …”
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  20. 3200

    Some transformations in a series of 4-amino-1,2,4-triazole-3-thion derivatives by O. A. Bihdan, V. V. Parchenko, B. V. Gutyj

    Published 2024-06-01
    “…The continuous improvement of synthesis methods enables the optimization of the process for developing and obtaining target products of chemical transformation. …”
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