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Showing 1,521 - 1,540 results of 2,583 for search '((( resourcessssssss OR resources) selection functions ) OR ( source detection functions ))', query time: 0.37s Refine Results
  1. 1521
  2. 1522

    Egyptian pediatric kidney transplantation: highlights on post-transplant follow-up and management of complications by the Egyptian Pediatric Clinical Practice Guidelines Committee... by Bahia Moustafa, Neveen A. Soliman, Ihab Shaheen, Ahmed Badr, Fatma M. Atia, Mohamed K. El Hatw, Engy Adel Mogahed, Mona EL-Ghamrawy, Khaled El Khashab, Noha Shaheen, Mohamad G. Shouman, Abeer Selim, Magdy El-Sharkawy, Tarek Abd El Azeem, Mohamad Esmat, Manal Salman, Bedeir Ali-El-Dein, Mona Abdel Rahim, Muhamed A. El-Hadedy, Moatasem Elsayed Ghoneim, Mai S. Korkor, Tarek E. I. Omar, Yasser Amer, Ashraf Abdel Baky, On Behalf of Egyptian Pediatric Clinical Practice Guideline Committee

    Published 2024-10-01
    “…Infections, rejection, recurrence, malignancy, bone problems, hypertension, and surgical complications are the most important challenges that require prevention, early detection, and management. Chronic allograft nephropathy needs different approaches based on its related causes, allograft pathology, graft function, and availability of re-transplantation. …”
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  3. 1523
  4. 1524
  5. 1525
  6. 1526

    Demand-aware traffic cooperation for self-organizing cognitive small-cell networks by Changhua Yao, Lei Zhu, Yongxing Jia, Lei Wang

    Published 2019-01-01
    “…To solve the distributed self-organizing traffic cooperation coalition formation problem, we propose three coalition formation algorithms: the first one is the Binary Preferring Traffic Cooperation Coalition Formation Algorithm based on the traditional Binary Preferring order; the second one is the Best Selection Traffic Cooperation Coalition Formation Algorithm based on the functional Best Selection order to improve the converging speed; and the third one is the Probabilistic Decision Traffic Cooperation Coalition Formation Algorithm based on the functional Probabilistic Decision order to improve the performance of the formed coalition. …”
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  7. 1527

    Saline-alkali soil reclamation and utilization in China: progress and prospects by Guangzhou WANG, Gang NI, Gu FENG, Haley M. BURRILL, Jianfang LI, Junling ZHANG, Fusuo ZHANG

    Published 2024-06-01
    “…Following the soil management strategies, the concept of selecting crops for saline soil is proposed. This encompasses halophyte planting, salt-tolerant crop breeding and the application of saline-adapted functional microorganisms to improve the adaptation of crops. …”
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    Article
  8. 1528

    Mitochondrial genome assembly of the Chinese endemic species of Camellia luteoflora and revealing its repetitive sequence mediated recombination, codon preferences and MTPTs by Xu Xiao, Zhaohui Ran, Chao Yan, Weihao Gu, Zhi Li

    Published 2025-04-01
    “…Phylogenetic reconstruction using mitochondrial PCGs positioned C. luteoflora in closest evolutionary proximity to Camellia sinensis var. sinensis. Selection pressure analysis (Ka/Ks ratios < 1 for 11 PCGs) and nucleotide diversity assessment (Pi values: 0–0.00711) indicated strong purifying selection and low sequence divergence.This study provides the first comprehensive mitochondrial genomic resource for C. luteoflora, offering critical insights for germplasm conservation, comparative organelle genomics, phylogenetic resolution, and evolutionary adaptation studies in Camellia species.…”
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  9. 1529

    Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction. by Amal H Alharbi, Faris H Rizk, Khaled Sh Gaber, Marwa M Eid, El-Sayed M El-Kenawy, Ehsan Khodadadi, Nima Khodadadi

    Published 2025-01-01
    “…We applied this hybrid strategy to a Radial Basis Function Network (RBFN), and validated its performance improvements through extensive experiments, including ANOVA and Wilcoxon tests for both feature selection and optimization phases. …”
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  10. 1530
  11. 1531

    The small RNA complement of adult Schistosoma haematobium. by Andreas J Stroehlein, Neil D Young, Pasi K Korhonen, Ross S Hall, Aaron R Jex, Bonnie L Webster, David Rollinson, Paul J Brindley, Robin B Gasser

    Published 2018-05-01
    “…Of the sncRNAs that were not miRNAs, some related to the spliceosome (n = 21), biogenesis of other RNAs (n = 3) or ribozyme functions (n = 16), whereas most others (n = 3798) were novel ('orphans') with unknown functions.…”
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  12. 1532

    Soil microbial networks’ complexity as a primary driver of multifunctionality in photovoltaic power plants in the northwest region of China by Liuqing Zhao, Sumeng Xu, Sumeng Xu, Jinmei Zhao, Shujuan Chen, Xiaolong Liu, Xiuyuan Zheng, Xiuhui Wang, Zhao Zhu, Fei Gao, Bingzhe Fu, Shuxia Li

    Published 2025-04-01
    “…IntroductionExploiting photovoltaic power generation as a novel source of clean energy has become increasingly common in recent times. …”
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  13. 1533

    Allocating the Sample Size in Phase II and III Trials to Optimize Success Probability by Daniele De Martini

    Published 2014-11-01
    “…Being $r$ the rate of resources allocated to phase II, $OSP(r)$ is a concave function and there exists an optimal allocation $r_{opt}$ giving $\max\{OSP\}$. …”
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  14. 1534

    Feasibility of estimating the percentage of desert pavement using Tasseled Cap Transformation indices extracted from Landsat 8 images by farzaneh Fotouhi Firoozabad, Atefeh jebali

    Published 2024-08-01
    “…Tasseled cap transformation functions were used to present the characteristics of soil brightness, greenness, and moisture in six distinct maps. …”
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  15. 1535

    Synergizing Multi-Temporal Remote Sensing and Systemic Resilience for Rainstorm–Flood Risk Zoning in the Northern Qinling Foothills: A Geospatial Modeling Approach by Dong Liu, Jiaqi Zhang, Xin Wang, Jianbing Peng, Rui Wang, Xiaoyan Huang, Denghui Li, Long Shao, Zixuan Hao

    Published 2025-06-01
    “…This framework quantitatively evaluates the nonlinear response mechanisms of town–village systems to flood disasters, emphasizing the synergistic effects of spatial scale, morphology, and functional organization. The proposed framework uniquely integrates three innovative modules: (1) a hybrid risk identification engine combining normalized difference vegetation index (NDVI) temporal anomaly detection and spatiotemporal hotspot analysis; (2) a morpho-functional resilience quantification model featuring a newly developed spatial morphological resilience index (SMRI) that synergizes landscape compactness, land-use diversity, and ecological connectivity through the entropy-weighted analytic hierarchy process (AHP); and (3) a dynamic scenario simulator embedding rainfall projections into a coupled hydrodynamic model. …”
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  16. 1536

    Assessing rehabilitation potential of the masticatory musculature in patients with temporomandibular myofascial pain syndrome: A randomized prospective controlled study by E. N. Iarygina, V. V. Shkarin, Yu. A. Makedonova, S. V. Dyachenko

    Published 2024-12-01
    “…Background. Selecting therapy for temporomandibular myofascial pain syndrome must be carefully justified, since functional impairments may be compensated and acceptable for the patient. …”
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  17. 1537

    Spatial Pattern and Evolutionary Characteristics of Settlements in Dianchi River Basin from the Perspective of Toponymy by Ying’ao WANG, Weijian HU, Wen PENG, Yuliang YANG

    Published 2025-04-01
    “…By constructing a coupling analysis framework of toponym semantics and spatial attributes, this research confirms the “spatio-temporal code” function of toponym in the process reconstruction of human settlements, and the capability to analyze multi-source heterogeneous data based on the aforesaid function provides a new analytical methodology for the research on watershed human settlements. …”
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  18. 1538
  19. 1539
  20. 1540

    Study on Floatation Separation of Molybdenite and Talc Based on Crystal Surface Anisotropy by Qidong Zhang, Xiaoli Li, Zhifang Hu, Bowen Gao, Chen Liu

    Published 2025-05-01
    “…Floatation experiments demonstrate that pulp pH is the key controlling factor—alkaline conditions (pH > 10) effectively reduce hetero-aggregation, enabling selective molybdenite recovery. These findings provide critical insights into optimizing floatation processes for talcose molybdenite ores, enhancing resource utilization.…”
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