Showing 1,561 - 1,580 results of 2,583 for search '(( resource selection function ) OR (( source OR sources) detection functions ))', query time: 0.27s Refine Results
  1. 1561

    Enhanced Lithium Extraction from Brines: Prelithiation Effect of FePO4 with Size and Morphology Control by Xiaoyu Zhao, Shuo Yang, Xiuli Song, Yushuang Wang, Hui Zhang, Muhan Li, Yanfei Wang

    Published 2024-11-01
    “…Abstract Extracting lithium resources from seawater and brine can promote the development of the new energy materials industry. …”
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    Article
  2. 1562

    Time Series Remote Sensing Image Classification with a Data-Driven Active Deep Learning Approach by Gaoliang Xie, Peng Liu, Zugang Chen, Lajiao Chen, Yan Ma, Lingjun Zhao

    Published 2025-03-01
    “…Then, we define a new loss function with the aim of improving the deep model’s performance. …”
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  3. 1563

    Innovations and Challenges in Intermediate Respiratory Care Units: Toward Effective Integration into the Hospital System by Beatriz Jara Chinarro, Laura Pazos Rodriguez, Miguel Cuchí Alfaro, Ainhoa Izquierdo Pérez, Silvia Aguado Ibañez, María Churruca Arrospide, Marta Soler Vigil, Cristina Moral, Carlos Almonacid

    Published 2024-10-01
    “…Original articles were selected for analysis. Additionally, recommendation documents on IRCUs from SEPAR and other Scientific Societies were reviewed. …”
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  4. 1564
  5. 1565

    ENQUIRE automatically reconstructs, expands, and drives enrichment analysis of gene and Mesh co-occurrence networks from context-specific biomedical literature. by Luca Musella, Alejandro Afonso Castro, Xin Lai, Max Widmann, Julio Vera

    Published 2025-02-01
    “…ENQUIRE reconstructs and expands co-occurrence networks of genes and biomedical ontologies from user-selected input corpora and network-inferred PubMed queries. …”
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  6. 1566

    INTERACTION BETWEEN DENTO-MAXILLOFACIAL ANOMALIES AND GENERAL-SOMATIC HUMAN CONDITION (LITERATURE REVIEW) by L.V. Smaglyuk, H.V. Voronkova, A.Ye. Karasiunok, A.V. Liakhovska, V.I. Smaglyuk

    Published 2019-12-01
    “…Materials and methods. Literary sources were reviewed on the relationship of malocclusion with the general diseases and the obtained data were analysed. …”
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  7. 1567

    Research on wind temperature prediction of tunneling working site based on PSO−SVR by Yanhe LI, Zhijun WAN, Zhenzi YU, Hong GOU, Wanli ZHAO, Jiale ZHOU, Peng SHI, Zheng ZHEN, Yuan ZHANG

    Published 2025-01-01
    “…With the gradual depletion of shallow coal resources in China and the increasing depth of mine excavations, the thermal hazard has intensified significantly. …”
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  8. 1568

    Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

    Published 2024-11-01
    “…This study selected the Zheng Dan-958 maize variety to predict germination rates using multi-source information fusion and a random forest (RF) algorithm. …”
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  9. 1569
  10. 1570
  11. 1571

    Development of Adaptive Testing Method Based on Neurotechnologies by E. V. Chumakova, D. G. Korneev, M. S. Gasparian

    Published 2022-04-01
    “…Adam showed the best results in terms of accuracy, while the MSE loss function (mean square error) was used together with the optimizer. …”
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  12. 1572
  13. 1573

    Intratumoural aldosterone and CYP11B2 expression levels among different genotypes of aldosterone producing tumours by Tobias Åkerström, Branislav Klimàcek, Matilda Annebäck, Olov Norlén, Peter Stålberg

    Published 2025-06-01
    “…Primary aldosteronism is the most common endocrine cause of hypertension, affecting 5–10% of hypertensive patients. Determining the source of aldosteronism is necessary for correct diagnosis and further molecular analysis. …”
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  14. 1574

    POTENTIAL OF MACHINE TRANSLATION IN MUSEUM MEDIA DISCOURSE: ANALYSIS OF MODERN BROWSER SYSTEMS by Vera A. Mityagina, Anna A. Novozhilova, Anna P. Naumova

    Published 2024-11-01
    “…The article is devoted to the actual problems of neural machine translation optimization, which are caused by the inclusion of multilingualism in the functionality of online resources for providing equal access to information for all users. …”
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  15. 1575
  16. 1576

    Viewing Global Changes in the Heliosheath with IMAP’s Energetic Neutral Atom Imagers by E. J. Zirnstein, J. Heerikhuisen, D. J. McComas, J. Bower, G. Clark, M. A. Dayeh, H. O. Funsten, M. Gkioulidou, D. G. Mitchell, D. B. Reisenfeld, N. A. Schwadron

    Published 2025-01-01
    “…We aim to answer the following: (i) What are the time delays as a function of energy and direction; (ii) at what energies can we observe changes the soonest; and (iii) what might the ENA source distributions affecting the time delays look like? …”
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  17. 1577

    Mid-infrared Ensemble Variability of Broad-line and Narrow-line Seyfert 1 Galaxies by Zhipeng Hu, Lisheng Mao

    Published 2025-01-01
    “…The MIR variability of the combined sample is positively correlated with black hole mass and the FWHM of the H β emission line at long rest-frame time lags. (4) The long-term MIR variability of the combined sample may be mainly driven by the Eddington ratio. (5) For BLSy1 galaxies, the MIR variability of radio-detected sources is greater than that of radio-undetected sources, whereas for NLSy1 galaxies, the opposite is true.…”
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  18. 1578

    SentemQC - A novel and cost-efficient method for quality assurance and quality control of high-resolution frequency sensor data in fresh waters [version 2; peer review: 1 approved,... by Sofie Gyritia Madsen van't Veen, Joachim Audet, Eti Ester Levi, Brian Kronvang, Søren Erik Larsen, Erik Jeppesen, Esben Astrup Kristensen, Anders Nielsen, Thomas Alexander Davidson, Jane Rosenstand Laugesen, Peter Mejlhede Andersen

    Published 2025-05-01
    “…SentemQC (QC of high temporal resolution sensor data) is a cost-efficient, and open-source Python approach developed to ensure the quality of sensor data by performing data QC on large volumes of high-frequency (HF) sensor data. …”
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  19. 1579

    Full-Length Transcriptome Sequencing and hsp Gene Family Analysis Provide New Insights into the Stress Response Mechanisms of <i>Mystus guttatus</i> by Lang Qin, Xueling Zhang, Yusen Li, Jun Shi, Yu Li, Yaoquan Han, Hui Luo, Dapeng Wang, Yong Lin, Hua Ye

    Published 2025-07-01
    “…After phylogenetic analysis and selective stress analysis, it was discovered that the <i>hsp</i> family has suffered purifying selection and gene loss, potentially contributing to a decrease in the stress resilience and population of <i>M. guttatus.…”
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  20. 1580

    Distribution, behavior and diet of the Asiatic black bear in human modified landscapes by Hadi Fahimi, Mahmood Soofi, Nahid Ahmadi, Ali T. Qashqaei, Hamidreza Heidari, Haaken Bungum, Bent Rech, Jonas Trepel, Matthias Waltert

    Published 2024-11-01
    “…Elevation, precipitation, village density, and PA size did not substantially influence occupancy. Black bear detection probability became 100 % only above 14 km survey effort, indicating its overall rarity, and bears were much more easily detected during and after rainfall. …”
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