يعرض 581 - 600 نتائج من 631 نتيجة بحث عن '(((( peer increase ) OR ((( sameer decrease ) OR ( lives decrease ))))) OR ( mean decrease ))*', وقت الاستعلام: 0.20s تنقيح النتائج
  1. 581

    Mapping online hate: A scientometric analysis on research trends and hotspots in research on online hate حسب Ahmed Waqas (687129)

    منشور في 2019
    "…We apply a predefined search strategy to retrieve peer-reviewed OHR and analyze the data using CiteSpace software by identifying influential papers, themes of research, and collaborating institutions. …"
  2. 582

    The role of objectively recorded smartphone usage and personality traits in sleep quality حسب Aftab Alam (5158601)

    منشور في 2023
    "…</p><h2>Other Information</h2><p dir="ltr">Published in: PeerJ Computer Science<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.7717/peerj-cs.1261" target="_blank">https://dx.doi.org/10.7717/peerj-cs.1261</a></p>…"
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    Impact of water availability on food security in GCC: Systematic literature review-based policy recommendations for a sustainable future حسب Lara G. Moussa (20484047)

    منشور في 2024
    "…Using a systematic literature review approach, we examined 64 peer-reviewed articles (2010–May 2024) focused on the impact of water availability in enhancing the GCC regions’ food security. …"
  8. 588

    Using social media advertisement data to monitor the gender gap in STEM: opportunities and challenges حسب Reham Al Tamime (18372909)

    منشور في 2022
    "…We found that on Instagram, the GGIs for interest inSciencedecrease as users’ age increases, suggesting that relatively there is evidence that that women, compared to men, are losing interest in STEM at older ages. …"
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    Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks حسب Sharma, Neetan

    منشور في 2023
    "…A case study has been done in the Peer Panjal region. The data collected for four months with various parameters have been applied randomly as input data using GD and LM type of artificial neural network compared to actual solar energy data. …"
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