SMR reveals common molecular patterns. by Daniela Fusco (10027975)

Comparison of RA incidence, prevalence, death and DALYs among men and women of different age groups in global in 2021. by Zhengpeng Li (2322058)

Comparison of RA incidence, prevalence, death and DALYs among men and women of different age groups in global in 1990. by Zhengpeng Li (2322058)

Comparison of all–age cases with age–standardized incidence, prevalence,deaths, and DALYs in global men and women, 1990–2021. by Zhengpeng Li (2322058)

Comparison of the number of incidence, prevalence, deaths and DALYs counts by age group and their crude ratios in China in 1990 and 2021. by Zhengpeng Li (2322058)

Global comparison of incidence, prevalence, deaths and DALYs counts by age group and their crude rates, 1990 and 2021. by Zhengpeng Li (2322058)

Comparison of all–age cases with age–standardized incidence, prevalence,deaths, and DALYs in Chinese men and women, 1990–2021. by Zhengpeng Li (2322058)

Influence of DCR on the distinction between instances in YouTube-VIS 2019 dataset. by Farnoosh Arefi (19812520)

“…<p>As depicted by the orange curve, the standard deviation of the channels diminishes while simultaneously, <i>Δ</i>, which represents the average difference between instances, also decreases. Consequently, channels with a higher standard deviation will probably display a more significant average difference between instances.…”

CTV p20 interacts with autophagy-related proteins NbATG8a and NbATG8f and induces autophagy. by Yongle Zhang (11355546)

Initial transport rate of [³H]-hypoxanthine of PhZ mutants (V%). by Mariana Barraco-Vega (19996318)

“…Different letters (a, b, c, d) represent significant differences at p < 0.05 probability level, according to ANOVA and Tukey´s test.…”

(A) Number of crossings, (B) Number of rearings, (C) Latency time for novel object, (D) Familiar object exploration time, (E) Novel object exploration time for novel object recogni... by Hammad Ismail (4227988)

Data_Sheet_2_Urolithin A alleviates cell senescence by inhibiting ferroptosis and enhances corneal epithelial wound healing.docx by Xiao-Xiao Guo (6092141)

“…The results of RNA-seq of HS-induced corneal epithelial cells showed that the ferroptosis pathway was significantly dysregulated. Further investigation revealed that UA decreased the level of oxidative stress in HCE-T cells, including the levels of LPO and MDA (p < 0.05). …”

Data_Sheet_1_Urolithin A alleviates cell senescence by inhibiting ferroptosis and enhances corneal epithelial wound healing.zip by Xiao-Xiao Guo (6092141)

“…The results of RNA-seq of HS-induced corneal epithelial cells showed that the ferroptosis pathway was significantly dysregulated. Further investigation revealed that UA decreased the level of oxidative stress in HCE-T cells, including the levels of LPO and MDA (p < 0.05). …”

Changes in the active H3K27ac and repressive H3K27me3 histone marks among Vasa2+/Piwi1+ and all cells in fed, starved, and refed juvenile polyps. by Eudald Pascual-Carreras (12115380)

“…Between fed, T_5ds and T_20ds timepoints, MFI levels of H3K27ac progressively and significantly decreased while levels H3K27me3 (M) did not change significantly (N). …”

Achieving Improved Ion Swarm Shaping Based on Ion Leakage Control in Ion Mobility Spectrometry by Jiyao Wang (2121157)

“…Simulations and experiments demonstrate that precise voltage adjustments effectively minimize ion leakage, enhancing resolving power by 50% (reaching a maximum of 106), while the corresponding decrease in signal intensity follows the <i>I</i>_p–<i>R</i>_p linear relationship. …”

Testing set error. by Xiangjuan Liu (618000)

“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …”

Internal structure of an LSTM cell. by Xiangjuan Liu (618000)

“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …”

Prediction effect of each model after STL. by Xiangjuan Liu (618000)

“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …”

The kernel density plot for data of each feature. by Xiangjuan Liu (618000)

“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …”

Analysis of raw data prediction results. by Xiangjuan Liu (618000)

“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …”