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Showing 1,281 - 1,300 results of 2,295 for search '((( resourcessssss OR resources) detection functions ) OR ( source selection functions ))', query time: 0.23s Refine Results
  1. 1281

    Pathogenesis of Apical Periodontitis: a Literature Review by Indre Graunaite, Greta Lodiene, Vita Maciulskiene

    Published 2011-09-01
    “…Additionally, a manual search in the cytokine production, cytokine functions and periapical tissue destruction in the journals and books was performed.Results: In total, 97 literature sources were obtained and reviewed. …”
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    Article
  2. 1282
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  5. 1285

    Зелені дахи в сучасному благоустрої міст by Liliia Gnatiuk, Ivanna Nesteruk

    Published 2021-12-01
    “…A few Ukrainian and foreign sources dealing with this problem were processed. …”
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    Article
  6. 1286
  7. 1287

    Speech etiquette situation of apology in classes of Russian as a foreign language (on the example of Asya Petrova's story «Sorry, Fool») by Zhanna K. Gaponova, Anastasiya A. Serogodskaya

    Published 2023-08-01
    “…Since reading as a kind of speech activity is connected with the cognitive function of the language, the proper selection of texts in the classes of Russian as a foreign language contributes to the application of the factual information contained in them in practice, as well as increasing linguocountryological competence of students. …”
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    Article
  8. 1288
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    SIU-ICUD: Principles and Outcomes of Focal Therapy in Localized Prostate Cancer by Alessandro Marquis, Jonathan Olivier, Tavya G. R. Benjamin, Eric Barret, Giancarlo Marra, Claire Deleuze, Lucas Bento, Kae J. Tay, Hashim U. Ahmed, Mark Emberton, Arnauld Villers, Thomas J. Polascik, Ardeshir R. Rastinehad

    Published 2025-06-01
    “…Cancer control rates vary by energy modality, tumor characteristics, and institutional experience, demonstrating comparable outcomes to radical treatments in well-selected patients. The safety profile is excellent, with high rates of urinary continence and sexual function preservation. …”
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    Article
  11. 1291

    Study on River System Flood Forecasting Scheme for Longtan Hydropower Station Interval in Hongshui River by DU Yong, FU Yupeng, WEI Yongjiang, LI Zongtai

    Published 2024-01-01
    “…Longtan Hydropower Station is a flood control project in the Pearl River Basin,but there is currently a lack of a comprehensive river system flood forecasting scheme.In order to give full play to the flood control and storage function of Longtan Hydropower Station,tributary control stations such as Leigongtan,Moyang,Pinglihe,Pinghu,and Xianrenqiao are selected,and the key areas of concern are determined through the analysis of important sub-intervals.The river system flood forecasting scheme for the Longtan Hydropower Station interval is constructed by using the Xin'an River three-source runoff generation model,three-source lag routing convergence model,and Maskingen convergence algorithm.The research results show that the proportion of the maximum inflow flood volume of Longtan Hydropower Station is usually in uncontrolled intervals,followed by the tributaries in Guizhou Province (Mengjiang River,Bawang River,Caodu River,and Liudong River),which are the focus of flood forecasting.The total average relative peak flow error and the average relative flood volume error in the river system flood forecasting scheme are both 10%,and the average deterministic coefficients are above 0.75.The overall results are relatively accurate.Therefore,the river system flood forecasting scheme for the Longtan Hydropower Station interval can be applied to real-time flood operation forecasting,and it lays a solid foundation for further improving the “forecast,early warning,rehearsal,and contingency plan” capability.…”
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  12. 1292

    Insight into influence of degradation metabolism of Firmicutes on the microstructure of anthracite coal by Yuewu Wang, Bingjun Liu, Sheng Xue, Yang Yang, Jian Chen, Jingbei Zhang, Chunshan Zheng, Tianyao Zhou

    Published 2025-01-01
    “…Fourier Transform Infrared Spectrometer (FTIR) experiments revealed that biodegradation stimulated by nitrogen source reduced the aromaticity of coal by 59.62% and enhanced the hydroxyl functional group content by 1.822 times. …”
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  13. 1293

    LIFE CYCLE ASSESSMENT IN HEALTHCARE SYSTEM OPTIMIZATION. INTRODUCTION by V. Sarancha, K. Vitale, S. Oreskovic, V. Sulyma

    Published 2015-03-01
    “…Various factors and parameters that may influence effectiveness of different sectors in healthcare system are detected. Performance optimization of detected parameters could lead to better system functioning, higher patient safety, economic sustainability and reduce resources consumption.…”
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  14. 1294
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  16. 1296

    Estimating fish stock biomass using a Bayesian state-space model: accounting for catchability change due to technological progress by Makoto Nishimoto, Yoshinori Aoki, Naoto Matsubara, Paul Hamer, Yuichi Tsuda

    Published 2024-12-01
    “…This model allows for the flexible integration of the timing and functional form of the uptake of technological innovations that are assumed to influence catchability. …”
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    Article
  17. 1297

    Impact of health literacy in patients with chronic musculoskeletal disease--systematic review. by Yoon K Loke, Ina Hinz, Xia Wang, Gill Rowlands, David Scott, Charlotte Salter

    Published 2012-01-01
    “…We assessed risk of bias from participant selection, methods of measuring health literacy and functional outcomes, missing data, and potential for confounding.…”
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  18. 1298

    MaGIC: a program to generate targeted marker sets for genome-wide association studies by Claire L. Simpson, Valerie K. Hansen, Pak C. Sham, Andrew Collins, John F. Powell, Ammar Al-Chalabi

    Published 2004-12-01
    “…Maps are in base pairs or linkage disequilibrium units (LDUs) as derived from the International HapMap data, which is useful for association studies and fine-mapping. Markers may be selected on the basis of heterozygosity and source database, and single nucleotide polymorphism (SNP) markers may additionally be selected on the basis of validation status. …”
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  19. 1299

    Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects by Muhammad Abdullah Hanif, Nandish Chattopadhyay, Bassem Ouni, Muhammad Shafique

    Published 2025-01-01
    “…Such attacks are usually referred to as Trojan or backdoor attacks and are very stealthy and hard to detect. In this paper, we highlight the complete attack surface that can be exploited to inject hidden malicious functionality (backdoors) in machine learning models. …”
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