Variables name and variable measurement. by Jinyuan Li (5927267)

“…Using the medical insurance records from 2017 to 2022, we evaluated the impact of the DRG system on medical costs, service efficiency and healthcare quality.…”

Organic solvent exposure causes defects in salt chemotaxis learning. by Masahiro Tomioka (430683)

Chitosan-Based Thermal-Coagulation Hydrogel System Driven by Multiple Interactions: Oxidation-Induced Fast Gelation and Enhanced Performance by Yifan Liu (219681)

“…By controlling the grafting rate, it was found that the solution pH and p<i>K</i>_a of CS-C were both affected by the decrease of the amino groups, whereas the gelation time and the required β-GP content for gelling significantly decreased. …”

Chitosan-Based Thermal-Coagulation Hydrogel System Driven by Multiple Interactions: Oxidation-Induced Fast Gelation and Enhanced Performance by Yifan Liu (219681)

“…By controlling the grafting rate, it was found that the solution pH and p<i>K</i>_a of CS-C were both affected by the decrease of the amino groups, whereas the gelation time and the required β-GP content for gelling significantly decreased. …”

Chitosan-Based Thermal-Coagulation Hydrogel System Driven by Multiple Interactions: Oxidation-Induced Fast Gelation and Enhanced Performance by Yifan Liu (219681)

“…By controlling the grafting rate, it was found that the solution pH and p<i>K</i>_a of CS-C were both affected by the decrease of the amino groups, whereas the gelation time and the required β-GP content for gelling significantly decreased. …”

The raw data for Fig 4. by Hongjoo An (21703199)

“…Luciferase assay and human and mouse brain multi-omics data show that, during the differentiation of OL precursor cells (OPCs) into OLs, the enhancer activity of Sox10-E1 does not change while that of Sox10-E2 decreases significantly. Chromatin interaction data indicate that the two <i>Sox10</i> enhancers lie close to the border of the <i>Sox10</i> topologically associating domain (TAD). …”

The raw data for S2 Fig. by Hongjoo An (21703199)

“…Luciferase assay and human and mouse brain multi-omics data show that, during the differentiation of OL precursor cells (OPCs) into OLs, the enhancer activity of Sox10-E1 does not change while that of Sox10-E2 decreases significantly. Chromatin interaction data indicate that the two <i>Sox10</i> enhancers lie close to the border of the <i>Sox10</i> topologically associating domain (TAD). …”

The raw data for Fig 6. by Hongjoo An (21703199)

“…Luciferase assay and human and mouse brain multi-omics data show that, during the differentiation of OL precursor cells (OPCs) into OLs, the enhancer activity of Sox10-E1 does not change while that of Sox10-E2 decreases significantly. Chromatin interaction data indicate that the two <i>Sox10</i> enhancers lie close to the border of the <i>Sox10</i> topologically associating domain (TAD). …”

The raw data for S4 Fig. by Hongjoo An (21703199)

“…Luciferase assay and human and mouse brain multi-omics data show that, during the differentiation of OL precursor cells (OPCs) into OLs, the enhancer activity of Sox10-E1 does not change while that of Sox10-E2 decreases significantly. Chromatin interaction data indicate that the two <i>Sox10</i> enhancers lie close to the border of the <i>Sox10</i> topologically associating domain (TAD). …”

Functional Characterization of a Highly Efficient UDP-Glucosyltransferase CitUGT72AZ4 Involved in the Biosynthesis of Flavonoid Glycosides in Citrus by Bin Liao (714989)

“…Virus-induced gene silencing of <i>CitUGT72AZ4</i> significantly decreased the accumulation of flavonoid 4′-<i>O</i>-glucosides. …”

The raw data for Fig 5B. by Hongjoo An (21703199)

“…Luciferase assay and human and mouse brain multi-omics data show that, during the differentiation of OL precursor cells (OPCs) into OLs, the enhancer activity of Sox10-E1 does not change while that of Sox10-E2 decreases significantly. Chromatin interaction data indicate that the two <i>Sox10</i> enhancers lie close to the border of the <i>Sox10</i> topologically associating domain (TAD). …”

The raw data for Fig 8A. by Hongjoo An (21703199)

“…Luciferase assay and human and mouse brain multi-omics data show that, during the differentiation of OL precursor cells (OPCs) into OLs, the enhancer activity of Sox10-E1 does not change while that of Sox10-E2 decreases significantly. Chromatin interaction data indicate that the two <i>Sox10</i> enhancers lie close to the border of the <i>Sox10</i> topologically associating domain (TAD). …”

Establishment of a diabetic rat model. by Lan Zeng (638254)

“…The abnormal production and release of VEGF promote the proliferation and migration of endothelial cells (ECs), which are critical drivers of retinal neovascularization [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0312791#pone.0312791.ref019" target="_blank">19</a>]. Accordingly, we measured VEGF gene expression and found that it was significantly increased in the retinas of diabetic rats (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0312791#pone.0312791.g003" target="_blank">Fig 3A</a>). …”

Dynamics of EGFP and mRFP fluorescence in infected cells under different heat shock conditions. by Enrique Paz-Cortés (20988196)

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 alkali-stress to chlorophyll fluorescence parameters compared to control treatment. by Zeyu Jiang (5094320)