Rate of convergence for relative errors. by Lahoucine Tadoummant (21647670)

“…A significant reduction in both error types is observed, with the relative error |<i>X</i>_<i>r</i>| decreasing from approximately 10⁻¹ to 10⁻⁸. …”

Ultrafine Particulate Matter Exacerbates the Risk of Delayed Neural Differentiation: Modulation Role of METTL3-Mediated m⁶A Modification by Rui Wang (52434)

“…By employing <i>N</i>6-methyladenosine (m⁶A) methylated RNA immunoprecipitation sequencing and bioinformatics, we identified <i>Zic1</i> as a key target of PM_0.1-induced developmental disturbances. …”

Podocyte numbers in control and iPLA₂γ KO mice (WT1-positive cells). by Andrey V. Cybulsky (4007012)

Alterations in the composition of gut microbiome in phylum and genus. by Xueyan Lin (448667)

Trends of the temperature, precipitation, and TVDI in the Santun River Irrigation Area, Xinjiang, during 2005–2023. by Yuxin Wei (11510974)

Percent change in yearly crude rates (between 2019 and 2021 and between 2019 and 2024) by gender and state. by Tony Wong (779773)

IRE1 depletion increases chromosome instability. by Iratxe Zuazo-Gaztelu (21071939)

S1 File - A novel yeast-derived aldehyde-reducing compound MF001 protects against alcohol-induced liver damage by Eun-Ho Lee (2696890)

Complexity comparison of different models. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Dynamic window based median filtering algorithm. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Flow of operation of improved KMA. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Improved DAE based on LSTM. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Autoencoder structure. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Effect of down-regulation and up-regulation of CRNN on cell proliferation. by Changji Li (4806930)

IRE1 depletion increases chromosome instability. by Iratxe Zuazo-Gaztelu (21071939)

Effect of down-regulation and up-regulation of CRNN on cell apoptosis. by Changji Li (4806930)

MF001 reduces the expression of lipogenic genes and proteins. by Eun-Ho Lee (2696890)

The effect of CRNN downregulation on migration and invasion ability in cSCC cells. by Changji Li (4806930)

MF001 liberates alcohol-induced lipogenesis in mice. by Eun-Ho Lee (2696890)

MF001 relieved alcohol-induced inflammation and fatty liver symptoms in mice. by Eun-Ho Lee (2696890)