Table 1_Multi-generational adaptation to Solanum nigrum increases reproduction and decreases microbial diversity of Aphis gossypii.docx حسب Peng Wang (34436)

Image 2_Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi.jpeg حسب Joseph W. P. Nakoa (21796214)

Image 3_Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi.jpeg حسب Joseph W. P. Nakoa (21796214)

Image 1_Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi.jpeg حسب Joseph W. P. Nakoa (21796214)

Table 1_Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi.xlsx حسب Joseph W. P. Nakoa (21796214)

Loss of RBM-26 causes mitochondria dysfunction in PLM. حسب Tamjid A. Chowdhury (14149846)

Cataract induction does not affect hunting behaviour in optimal light conditions (left panels) but causes impairments in challenging light environments (right panels). حسب Amartya T. Mitra (14043115)

Regression situation of each cross-section. حسب Puzhen An (21169189)

"…<div><p>Currently, there is limited research focusing on the surface deformation caused by shield excavation in strongly weathered rock formations with significant coarse particle content. …"

Statistical Table of Formation Loss Rate <i>V1.</i> حسب Puzhen An (21169189)

"…<div><p>Currently, there is limited research focusing on the surface deformation caused by shield excavation in strongly weathered rock formations with significant coarse particle content. …"

Fitting Results for Each Operating Condition. حسب Puzhen An (21169189)

"…<div><p>Currently, there is limited research focusing on the surface deformation caused by shield excavation in strongly weathered rock formations with significant coarse particle content. …"

Non-random tree species loss shifts soil fungal communities حسب Sirong Zhang (20831093)

"…Preferential loss of higher-SLA species resulted in significant decreases in soil fungal diversity, shifts in community composition and simplifications in fungal co-occurrence network. …"

The values of the atmospheric pollen parameters. حسب Krystyna Piotrowska-Weryszko (11320630)

"…The decrease in the annual pollen sum was significantly associated with lower humidity in March and May and higher temperatures in June. …"

Data Sheet 1_Unraveling microbial shifts and plant growth responses in Chrysanthemum ‘Merlino’ due to artificial root exudates in horticultural substrates.pdf حسب Steffi Pot (10533497)

"…Addition of artificial root exudates caused shifts in the bacterial and fungal community composition in both peatand compost-based substrates. …"

Data Sheet 1_Shifts in soil microbial and nematode communities over progression of pine wilt disease occurring in Pinus koraiensis stands.pdf حسب Siyu Tian (9874001)

"…In particular, the relative abundance of the methane-cycling Methylomirabilota became higher in bacterial community and the ectomycorrhizal Agaricomycetes was lower in fungal community in soil of the diseased or killed pines than healthy ones, suggesting an overall decrease in soil health caused by PWD. Although the α-diversity of soil nematode community did not vary over the development of PWD, its composition was significantly altered by the disease. …"

PCA-CGAN model parameter settings. حسب Chao Tang (10925)

"…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. 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. …"

MIT-BIH dataset proportion analysis chart. حسب Chao Tang (10925)

"…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. 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. …"

Wavelet transform preprocessing results. حسب Chao Tang (10925)

"…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. 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. …"

PCAECG_GAN. حسب Chao Tang (10925)

"…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. 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. …"

MIT dataset expansion quantities and Proportions. حسب Chao Tang (10925)

"…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. 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. …"

Experimental hardware and software environment. حسب Chao Tang (10925)

"…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. 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. …"