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Showing 1 - 20 results of 558 for search '(((( ((c largest) OR (i large)) decrease ) OR ( n levels increased ))) OR ( a large decrease ))', query time: 0.16s Refine Results
  1. 1

    A clustering metaheuristic for large orienteering problems by Almiqdad Elzein (13141038)

    Published 2022
    “…The metaheuristic aims to dramatically improve the computation time of a given Orienteering Problem algorithm without a significant decrease in the solution quality of that algorithm, especially for large Orienteering Problems. …”
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    Increased levels of CSF total but not oligomeric or phosphorylated forms of alpha-synuclein in patients diagnosed with probable Alzheimer’s disease by Nour K. Majbour (8809316)

    Published 2017
    “…In the current study, we measured CSF levels of different α-syn species in a cohort of AD patients (n = 225) who showed a CSF profile typical of AD at baseline as well as in cognitively intact controls (n = 68). …”
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    A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems by Raka Jovanovic (17947838)

    Published 2021
    “…To be able to solve large problem instances corresponding to real-world applications of the model, a metaheuristic approach is investigated. …”
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    COVID-19 biomarkers for severity mapped to polycystic ovary syndrome by Abu Saleh Md Moin (6189512)

    Published 2020
    “…<p dir="ltr">Large scale multi-omics analysis has identified significant differences in the biomarkers between COVID-19 disease and control subjects [1]. …”
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    Enhancing eggplant (Solanum melongena L.) yield and water use efficiency through optimized irrigation and nitrogen practices in open field conditions by Adewale Suraj, Bello

    Published 2024
    “…Two irrigation regimes were tested: full irrigation (100 %, I2) and deficit irrigation (50 %, I1), along with three nitrogen levels: 100 kg N ha−1 (F3), 70 kg N ha−1 (F2), and 50 kg N ha−1 (F1). …”
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  20. 20

    COVID-19 may have increased global support for universal health coverage: multi-country observational study by Claudia F. Nisa (11346055)

    Published 2023
    “…This was a convenience sample composed of voluntary participants (<i>N </i>= 3,176; age 18 years and above).</p><h3 dir="ltr">Results</h3><p dir="ltr">The results show that support for government intervention in healthcare increased across geographical regions, age groups, and gender groups (an average increase of 39%), more than the support for government intervention in other social welfare issues. …”