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Three-Dimensional Crystals Assembled by Linear Oligopeptoids
Gepubliceerd in 2025“…Here, we report the design of 3D peptoid crystals from linear peptoid hexamers, derived from amphiphilic diblock sequences that typically form crystalline two-dimensional (2D) nanosheets. By removing the amorphous domains and tuning the chain termini, crystalline lamellae up to 500 nm thick were achieved, far exceeding the thickness of typical nanosheets (on the order of a few nanometers). …”
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122
Three-Dimensional Crystals Assembled by Linear Oligopeptoids
Gepubliceerd in 2025“…Here, we report the design of 3D peptoid crystals from linear peptoid hexamers, derived from amphiphilic diblock sequences that typically form crystalline two-dimensional (2D) nanosheets. By removing the amorphous domains and tuning the chain termini, crystalline lamellae up to 500 nm thick were achieved, far exceeding the thickness of typical nanosheets (on the order of a few nanometers). …”
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123
Representative photos of tagged <i>S. siderea</i> with lesions in the Florida Keys.
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124
Reduced adhesive capacity in <i>Cep290</i> KO cells.
Gepubliceerd in 2025“…Magnified images, indicated by yellow squares, are displayed on the far right. Red: F-actin, Green: α-tubulin, and Blue: DNA. …”
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125
Patient Costs and GDP per Capita.
Gepubliceerd in 2025“…However, across all countries, post-TB considerations had a far greater impact on cost-effectiveness. On average, removing the post-TB period increased ICERs by over 50% (ranging from +19.3% in Ghana to +108% in Mongolia, societal perspective). …”
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126
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127
Neuronal Membrane-Functionalized Biohybrid Microrobots for Active Decontamination of Neurotoxins in Aqueous Environments
Gepubliceerd in 2025“…Neurotoxins, such as tetrodotoxin (TTX), pose acute threats to aquatic biodiversity with far-reaching consequences for public health. The removal of TTX from aquatic environments presents a critical challenge, necessitating innovative and adaptive strategies. …”
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128
Neuronal Membrane-Functionalized Biohybrid Microrobots for Active Decontamination of Neurotoxins in Aqueous Environments
Gepubliceerd in 2025“…Neurotoxins, such as tetrodotoxin (TTX), pose acute threats to aquatic biodiversity with far-reaching consequences for public health. The removal of TTX from aquatic environments presents a critical challenge, necessitating innovative and adaptive strategies. …”
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129
Neuronal Membrane-Functionalized Biohybrid Microrobots for Active Decontamination of Neurotoxins in Aqueous Environments
Gepubliceerd in 2025“…Neurotoxins, such as tetrodotoxin (TTX), pose acute threats to aquatic biodiversity with far-reaching consequences for public health. The removal of TTX from aquatic environments presents a critical challenge, necessitating innovative and adaptive strategies. …”
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130
Neuronal Membrane-Functionalized Biohybrid Microrobots for Active Decontamination of Neurotoxins in Aqueous Environments
Gepubliceerd in 2025“…Neurotoxins, such as tetrodotoxin (TTX), pose acute threats to aquatic biodiversity with far-reaching consequences for public health. The removal of TTX from aquatic environments presents a critical challenge, necessitating innovative and adaptive strategies. …”
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131
Neuronal Membrane-Functionalized Biohybrid Microrobots for Active Decontamination of Neurotoxins in Aqueous Environments
Gepubliceerd in 2025“…Neurotoxins, such as tetrodotoxin (TTX), pose acute threats to aquatic biodiversity with far-reaching consequences for public health. The removal of TTX from aquatic environments presents a critical challenge, necessitating innovative and adaptive strategies. …”
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132
PCA-CGAN model parameter settings.
Gepubliceerd in 2025“…After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”
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133
MIT-BIH dataset proportion analysis chart.
Gepubliceerd in 2025“…After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”
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134
Wavelet transform preprocessing results.
Gepubliceerd in 2025“…After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”
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135
PCAECG_GAN.
Gepubliceerd in 2025“…After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”
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136
MIT dataset expansion quantities and Proportions.
Gepubliceerd in 2025“…After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”
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137
Experimental hardware and software environment.
Gepubliceerd in 2025“…After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”
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138
PCA-CGAN K-fold experiment table.
Gepubliceerd in 2025“…After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”
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139
Classification model parameter settings.
Gepubliceerd in 2025“…After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”
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140
MIT-BIH expanded dataset proportion chart.
Gepubliceerd in 2025“…After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”