Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
use increased » cases increased (Expand Search), also increased (Expand Search), rate increased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
use increased » cases increased (Expand Search), also increased (Expand Search), rate increased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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21101
Kinetics of TBX2 in plasma.
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. …”
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21102
Kinetics of prostaglandins in plasma.
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. …”
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21103
Specialised proresolving mediators in BAL.
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. …”
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21104
Kinetics of oxylipids in plasma.
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. …”
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21105
Randomly generated benchmark cost index.
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. …”
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21106
DQN training parame.
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. …”
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21107
Scheduling model.
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. …”
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21108
DQN training parame.
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. …”
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21109
Randomly generated benchmark load balancing.
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. …”
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21110
Q value model.
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. …”
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21111
Randomly generated benchmark overdue time.
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. …”
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21112
Randomly generated benchmark makespan.
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. …”
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21113
Participant characteristics by village.
Published 2025“…We hypothesized that farmers with greater market-based wealth and more farming experience would have higher odds of adaptation. …”
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21114
Enhanced intrinsic excitability of spinal Calcrl<sup>+</sup> neurons in chronic itch.
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.…”
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21115
Image 1_Comparative analysis of cranberry fruit rot fungal diversity in Massachusetts from wild, organic, and conventional ecosystems using multiplex PCR.jpg
Published 2025“…Significant differences in the detection of CFR fungi were observed across these ecosystems. …”
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21116
Unlocking Nature’s Potential: Ferritin as a Universal Nanocarrier for Amplified Cancer Therapy Testing via 3D Microtissues
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. …”
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21117
Unlocking Nature’s Potential: Ferritin as a Universal Nanocarrier for Amplified Cancer Therapy Testing via 3D Microtissues
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. …”
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21118
Unlocking Nature’s Potential: Ferritin as a Universal Nanocarrier for Amplified Cancer Therapy Testing via 3D Microtissues
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. …”
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21119
Effect of maternal and gestational age on the fetal fraction estimated using Y-chromosome, <i>seqFF</i> and <i>comboFF</i> methods.
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>. …”
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21120