Showing 21,101 - 21,120 results of 48,847 for search '(( significant decrease decrease ) OR ( significant ((use increased) OR (we decrease)) ))', query time: 0.85s Refine Results
  1. 21101

    Kinetics of TBX2 in plasma. by Sara Hägglund (580500)

    Published 2024
    “…<div><p>Non-steroidal anti-inflammatory drugs (NSAID) are not recommended for use against pneumonia in humans, but are commonly utilised against bovine respiratory disease. …”
  2. 21102

    Kinetics of prostaglandins in plasma. by Sara Hägglund (580500)

    Published 2024
    “…<div><p>Non-steroidal anti-inflammatory drugs (NSAID) are not recommended for use against pneumonia in humans, but are commonly utilised against bovine respiratory disease. …”
  3. 21103

    Specialised proresolving mediators in BAL. by Sara Hägglund (580500)

    Published 2024
    “…<div><p>Non-steroidal anti-inflammatory drugs (NSAID) are not recommended for use against pneumonia in humans, but are commonly utilised against bovine respiratory disease. …”
  4. 21104

    Kinetics of oxylipids in plasma. by Sara Hägglund (580500)

    Published 2024
    “…<div><p>Non-steroidal anti-inflammatory drugs (NSAID) are not recommended for use against pneumonia in humans, but are commonly utilised against bovine respiratory disease. …”
  5. 21105

    Randomly generated benchmark cost index. by Delong Cui (21730915)

    Published 2025
    “…<div><p>With the increasing popularity of cloud computing services, their large and dynamic load characteristics have rendered task scheduling an NP-complete problem.To address the problem of large-scale task scheduling in a cloud computing environment, this paper proposes a novel cloud task scheduling framework using hierarchical deep reinforcement learning (DRL) to address the challenges of large-scale task scheduling in cloud computing. …”
  6. 21106

    DQN training parame. by Delong Cui (21730915)

    Published 2025
    “…<div><p>With the increasing popularity of cloud computing services, their large and dynamic load characteristics have rendered task scheduling an NP-complete problem.To address the problem of large-scale task scheduling in a cloud computing environment, this paper proposes a novel cloud task scheduling framework using hierarchical deep reinforcement learning (DRL) to address the challenges of large-scale task scheduling in cloud computing. …”
  7. 21107

    Scheduling model. by Delong Cui (21730915)

    Published 2025
    “…<div><p>With the increasing popularity of cloud computing services, their large and dynamic load characteristics have rendered task scheduling an NP-complete problem.To address the problem of large-scale task scheduling in a cloud computing environment, this paper proposes a novel cloud task scheduling framework using hierarchical deep reinforcement learning (DRL) to address the challenges of large-scale task scheduling in cloud computing. …”
  8. 21108

    DQN training parame. by Delong Cui (21730915)

    Published 2025
    “…<div><p>With the increasing popularity of cloud computing services, their large and dynamic load characteristics have rendered task scheduling an NP-complete problem.To address the problem of large-scale task scheduling in a cloud computing environment, this paper proposes a novel cloud task scheduling framework using hierarchical deep reinforcement learning (DRL) to address the challenges of large-scale task scheduling in cloud computing. …”
  9. 21109

    Randomly generated benchmark load balancing. by Delong Cui (21730915)

    Published 2025
    “…<div><p>With the increasing popularity of cloud computing services, their large and dynamic load characteristics have rendered task scheduling an NP-complete problem.To address the problem of large-scale task scheduling in a cloud computing environment, this paper proposes a novel cloud task scheduling framework using hierarchical deep reinforcement learning (DRL) to address the challenges of large-scale task scheduling in cloud computing. …”
  10. 21110

    Q value model. by Delong Cui (21730915)

    Published 2025
    “…<div><p>With the increasing popularity of cloud computing services, their large and dynamic load characteristics have rendered task scheduling an NP-complete problem.To address the problem of large-scale task scheduling in a cloud computing environment, this paper proposes a novel cloud task scheduling framework using hierarchical deep reinforcement learning (DRL) to address the challenges of large-scale task scheduling in cloud computing. …”
  11. 21111

    Randomly generated benchmark overdue time. by Delong Cui (21730915)

    Published 2025
    “…<div><p>With the increasing popularity of cloud computing services, their large and dynamic load characteristics have rendered task scheduling an NP-complete problem.To address the problem of large-scale task scheduling in a cloud computing environment, this paper proposes a novel cloud task scheduling framework using hierarchical deep reinforcement learning (DRL) to address the challenges of large-scale task scheduling in cloud computing. …”
  12. 21112

    Randomly generated benchmark makespan. by Delong Cui (21730915)

    Published 2025
    “…<div><p>With the increasing popularity of cloud computing services, their large and dynamic load characteristics have rendered task scheduling an NP-complete problem.To address the problem of large-scale task scheduling in a cloud computing environment, this paper proposes a novel cloud task scheduling framework using hierarchical deep reinforcement learning (DRL) to address the challenges of large-scale task scheduling in cloud computing. …”
  13. 21113

    Participant characteristics by village. by Tyler M. Barrett (20846174)

    Published 2025
    “…We hypothesized that farmers with greater market-based wealth and more farming experience would have higher odds of adaptation. …”
  14. 21114

    Enhanced intrinsic excitability of spinal Calcrl<sup>+</sup> neurons in chronic itch. by Huifeng Jiao (11537806)

    Published 2025
    “…Data are represented as mean ± SEM (n = 5 mice per group). ns: not significant, *p < 0.05, **p < 0.01. Differences between the groups were statistically evaluated using a two-tailed unpaired Student’s t-test.…”
  15. 21115

    Image 1_Comparative analysis of cranberry fruit rot fungal diversity in Massachusetts from wild, organic, and conventional ecosystems using multiplex PCR.jpg by Salisu Sulley (22059035)

    Published 2025
    “…Significant differences in the detection of CFR fungi were observed across these ecosystems. …”
  16. 21116

    Unlocking Nature’s Potential: Ferritin as a Universal Nanocarrier for Amplified Cancer Therapy Testing via 3D Microtissues by Iqra Munir (5350220)

    Published 2024
    “…Precisely, our first designed carrier nanoconjugate, i.e., F-VPA, offered more than a 3-fold increased intratumoral drug concentration than free VPA and significantly suppressed tumor growth after a single-dose treatment. …”
  17. 21117

    Unlocking Nature’s Potential: Ferritin as a Universal Nanocarrier for Amplified Cancer Therapy Testing via 3D Microtissues by Iqra Munir (5350220)

    Published 2024
    “…Precisely, our first designed carrier nanoconjugate, i.e., F-VPA, offered more than a 3-fold increased intratumoral drug concentration than free VPA and significantly suppressed tumor growth after a single-dose treatment. …”
  18. 21118

    Unlocking Nature’s Potential: Ferritin as a Universal Nanocarrier for Amplified Cancer Therapy Testing via 3D Microtissues by Iqra Munir (5350220)

    Published 2024
    “…Precisely, our first designed carrier nanoconjugate, i.e., F-VPA, offered more than a 3-fold increased intratumoral drug concentration than free VPA and significantly suppressed tumor growth after a single-dose treatment. …”
  19. 21119

    Effect of maternal and gestational age on the fetal fraction estimated using Y-chromosome, <i>seqFF</i> and <i>comboFF</i> methods. by Zuzana Holesova (15253816)

    Published 2025
    “…In contrast, fetal fraction estimates using Y-chromosome and <i>seqFF</i> method exhibit a slight increase with gestational age, though not statistically significant (Pearson’s r = 0.016/0.007, p = 0.241/0.616) <b>(D, E)</b>. …”
  20. 21120