Showing 281 - 300 results of 316 for search '"mining"', query time: 0.05s Refine Results
  1. 281

    Hydrilla tuber weevil Bagous affinis Hustache (Insecta: Coleoptera: Curculionidae) by Emma Weeks

    Published 2014-08-01
    “…The larvae of the weevil mine hydrilla tubers, and the adults feed on the submerged stems and leaves. …”
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    Article
  2. 282

    Utilization of Sanitized Human Excreta and Wood Ash for Establishing Multipurpose <i>Ficus Thonningii</i> Blume in a Degraded Tantalum Technosol by D. Neina

    Published 2020-01-01
    “… The inclusion of native trees in mine land reclamation has been promoted over the years yet that of highvalue multipurpose species for people’s livelihoods has been overlooked. …”
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    Article
  3. 283

    The Mosquito by Jorge R. Rey

    Published 2011-07-01
    “…They can reproduce in virtually any natural or man-made deposit of water and have been found in mines deep below the surface, in mountain peaks, in highly polluted water bodies, in snow pools, and even in crab holes. …”
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  4. 284

    Hydrilla Stem Weevil: Bagous hydrillae O’Brien by Emma Weeks, Jim Cuda, Michael J. Grodowitz

    Published 2014-08-01
    “…Royle. Larvae of the weevil mine hydrilla stems and the adults feed on the stems and submerged leaves. …”
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    Article
  5. 285

    Peachtree Borers in the Home and Commercial Peach Orchard by Russell F. Mizell, III

    Published 2003-12-01
    “…The larvae of these day-flying moths mine beneath the bark of the trunk and scaffold limbs of peach trees of all ages. …”
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    Article
  6. 286

    The protein interactome of Escherichia coli carbohydrate metabolism. by Shomeek Chowdhury, Stephen S Fong, Peter Uetz

    Published 2025-01-01
    “…We predict 3 PPIs (RpsB-AdhE, DcyD-NanE and MinE-Yccx) previously not known to regulate metabolism.…”
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  7. 287

    Erythrina leafminer (suggested common name); Leucoptera erythrinella Busck, 1900 (Insecta: Lepidoptera: Lyonetiidae) by Andrei Sourakov

    Published 2014-02-01
    “…The larvae feed inside the leaves, making elaborate and characteristic mines, which from a distance appear to be discolorations of the leaf itself. …”
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  8. 288
  9. 289

    Lead poisoning in ancient Rome by Francois P. Retief, Louise Cilliers

    Published 2005-06-01
    “… Lead was known to the ancients from at least the 4th millennium BC, but its use increased markedly during Roman times, to the extent that it became a health hazard. Mines and foundry furnaces caused air pollution; lead was extensively used in plumbing; domestic utensils were made of lead and pewter, and lead salts were used in cosmetics, medicines and paints. …”
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  10. 290

    A Review of Additives on (Co-)Stabilization of Phosphorus and Heavy Metals during Thermal Processing of Sewage Sludge by LI Haofei, QIN Yuhong, DU Yujia, LI Wanyao

    Published 2025-01-01
    “…[Purposes] Sewage sludge is considered as a “substitute mine” for phosphorus, and thermal processing is an important means for its resource utilization and harmless treatment. …”
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  11. 291

    Short-term urban traffic forecasting in smart cities: a dynamic diffusion spatial-temporal graph convolutional network by Xiang Yin, Junyang Yu, Xiaoyu Duan, Lei Chen, Xiaoli Liang

    Published 2025-01-01
    “…Finally, the convolutional LSTM module is used to mine the spatiotemporal dependence of traffic data to improve the accuracy of traffic prediction. …”
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  12. 292
  13. 293

    Drug-Gene Interaction Prediction Method through Cross Granularity Subgraph Contrastive Learning and Attention Mechanism Fusion by HU Dongdong, PENG Yang, TAN Shuqiu, ZHU Xiaofei

    Published 2025-01-01
    “…On the other hand, by utilizing attention fusion mechanisms, hidden information in nodes can be fully mined, and attention fusion can be performed on distance information. …”
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    Article
  14. 294

    STEPNet: A Spatial and Temporal Encoding Pipeline to Handle Temporal Heterogeneity in Climate Modeling Using AI: A Use Case of Sea Ice Forecasting by Sizhe Wang, Wenwen Li, Chia-Yu Hsu

    Published 2025-01-01
    “…STEPNet employs dedicated encoders designed to effectively mine prominent spatial, temporal, and spatiotemporal relationships within the data. …”
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    Article
  15. 295

    Systematic comparison of Mendelian randomisation studies and randomised controlled trials using electronic databases by Jie Zheng, George Davey Smith, Tom R Gaunt, Maria K Sobczyk

    Published 2023-09-01
    “…Objective To scope the potential for (semi)-automated triangulation of Mendelian randomisation (MR) and randomised controlled trials (RCTs) evidence since the two methods have distinct assumptions that make comparisons between their results invaluable.Methods We mined ClinicalTrials.Gov, PubMed and EpigraphDB databases and carried out a series of 26 manual literature comparisons among 54 MR and 77 RCT publications.Results We found that only 13% of completed RCTs identified in ClinicalTrials.Gov submitted their results to the database. …”
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    Article
  16. 296

    APMAT analysis reveals the association between CD8 T cell receptors, cognate antigen, and T cell phenotype and persistence by Jingyi Xie, Daniel G. Chen, William Chour, Rachel H. Ng, Rongyu Zhang, Dan Yuan, Jongchan Choi, Michaela McKasson, Pamela Troisch, Brett Smith, Lesley Jones, Andrew Webster, Yusuf Rasheed, Sarah Li, Rick Edmark, Sunga Hong, Kim M. Murray, Jennifer K. Logue, Nicholas M. Franko, Christopher G. Lausted, Brian Piening, Heather Algren, Julie Wallick, Andrew T. Magis, Kino Watanabe, Phil Mease, Philip D. Greenberg, Helen Chu, Jason D. Goldman, Yapeng Su, James R. Heath

    Published 2025-02-01
    “…Abstract Elucidating the relationships between a class I peptide antigen, a CD8 T cell receptor (TCR) specific to that antigen, and the T cell phenotype that emerges following antigen stimulation, remains a mostly unsolved problem, largely due to the lack of large data sets that can be mined to resolve such relationships. Here, we describe Antigen-TCR Pairing and Multiomic Analysis of T-cells (APMAT), an integrated experimental-computational framework designed for the high-throughput capture and analysis of CD8 T cells, with paired antigen, TCR sequence, and single-cell transcriptome. …”
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