Table 6_Association of MIF rs1007888 and ARAP1 rs1552224 genetic variants with the risk of gestational diabetes mellitus in a chinese population; case study and meta-analysis.xlsx by Yuxuan Zhang (1425721)

“…The ArfGAP with RhoGAP domain, ankyrin repeat, and PH domain-containing protein 1 (ARAP1) rs1552224 locus has been identified as a risk locus for type 2 diabetes, and recent reports have linked it to elevated blood glucose levels and reduced insulin release upon glucose stimulation. …”

Table 4_Association of MIF rs1007888 and ARAP1 rs1552224 genetic variants with the risk of gestational diabetes mellitus in a chinese population; case study and meta-analysis.xlsx by Yuxuan Zhang (1425721)

“…The ArfGAP with RhoGAP domain, ankyrin repeat, and PH domain-containing protein 1 (ARAP1) rs1552224 locus has been identified as a risk locus for type 2 diabetes, and recent reports have linked it to elevated blood glucose levels and reduced insulin release upon glucose stimulation. …”

Table 5_Association of MIF rs1007888 and ARAP1 rs1552224 genetic variants with the risk of gestational diabetes mellitus in a chinese population; case study and meta-analysis.xlsx by Yuxuan Zhang (1425721)

“…The ArfGAP with RhoGAP domain, ankyrin repeat, and PH domain-containing protein 1 (ARAP1) rs1552224 locus has been identified as a risk locus for type 2 diabetes, and recent reports have linked it to elevated blood glucose levels and reduced insulin release upon glucose stimulation. …”

Table 3_Association of MIF rs1007888 and ARAP1 rs1552224 genetic variants with the risk of gestational diabetes mellitus in a chinese population; case study and meta-analysis.xlsx by Yuxuan Zhang (1425721)

“…The ArfGAP with RhoGAP domain, ankyrin repeat, and PH domain-containing protein 1 (ARAP1) rs1552224 locus has been identified as a risk locus for type 2 diabetes, and recent reports have linked it to elevated blood glucose levels and reduced insulin release upon glucose stimulation. …”

Table 7_Association of MIF rs1007888 and ARAP1 rs1552224 genetic variants with the risk of gestational diabetes mellitus in a chinese population; case study and meta-analysis.xlsx by Yuxuan Zhang (1425721)

“…The ArfGAP with RhoGAP domain, ankyrin repeat, and PH domain-containing protein 1 (ARAP1) rs1552224 locus has been identified as a risk locus for type 2 diabetes, and recent reports have linked it to elevated blood glucose levels and reduced insulin release upon glucose stimulation. …”

Data Sheet 1_Association of MIF rs1007888 and ARAP1 rs1552224 genetic variants with the risk of gestational diabetes mellitus in a chinese population; case study and meta-analysis.... by Yuxuan Zhang (1425721)

“…The ArfGAP with RhoGAP domain, ankyrin repeat, and PH domain-containing protein 1 (ARAP1) rs1552224 locus has been identified as a risk locus for type 2 diabetes, and recent reports have linked it to elevated blood glucose levels and reduced insulin release upon glucose stimulation. …”

Image 2_The Effect of glycocholic acid on the growth, membrane permeability, conjugation and antibiotic susceptibility of Enterobacteriaceae.pdf by Bar Piscon (20906495)

“…Despite their lipopolysaccharide membrane layer, we demonstrate that, in liquid, GCA increases permeability, changes the surface of the Enterobacteriaceae membrane, and compromises its integrity. …”

Table 1_The Effect of glycocholic acid on the growth, membrane permeability, conjugation and antibiotic susceptibility of Enterobacteriaceae.docx by Bar Piscon (20906495)

“…Despite their lipopolysaccharide membrane layer, we demonstrate that, in liquid, GCA increases permeability, changes the surface of the Enterobacteriaceae membrane, and compromises its integrity. …”

Image 4_The Effect of glycocholic acid on the growth, membrane permeability, conjugation and antibiotic susceptibility of Enterobacteriaceae.pdf by Bar Piscon (20906495)

“…Despite their lipopolysaccharide membrane layer, we demonstrate that, in liquid, GCA increases permeability, changes the surface of the Enterobacteriaceae membrane, and compromises its integrity. …”

Image 1_The Effect of glycocholic acid on the growth, membrane permeability, conjugation and antibiotic susceptibility of Enterobacteriaceae.pdf by Bar Piscon (20906495)

“…Despite their lipopolysaccharide membrane layer, we demonstrate that, in liquid, GCA increases permeability, changes the surface of the Enterobacteriaceae membrane, and compromises its integrity. …”

Image 6_The Effect of glycocholic acid on the growth, membrane permeability, conjugation and antibiotic susceptibility of Enterobacteriaceae.pdf by Bar Piscon (20906495)

“…Despite their lipopolysaccharide membrane layer, we demonstrate that, in liquid, GCA increases permeability, changes the surface of the Enterobacteriaceae membrane, and compromises its integrity. …”

raw data of "Helicobacter hepaticus promotes hepatic steatosis through CdtB-induced mitochondrial stress and lipid metabolism reprogramming" by Quan Zhang (20376574)

“…Furthermore, we identify that CdtB translocates to mitochondria with the assistance of Hsp90, leading to a decrease in the activity of mitochondrial respiratory complex V due to its interaction with ATP5A1. …”

Raw_data_N_adition_increased_SOC_PNAS.xlsx by Guoyong Yan (14273351)

“…We found that SOC significantly increased with N addition, driven by the combined responses of plants, soil, and microbes. …”

Image 3_The Effect of glycocholic acid on the growth, membrane permeability, conjugation and antibiotic susceptibility of Enterobacteriaceae.pdf by Bar Piscon (20906495)

“…Despite their lipopolysaccharide membrane layer, we demonstrate that, in liquid, GCA increases permeability, changes the surface of the Enterobacteriaceae membrane, and compromises its integrity. …”

Image 5_The Effect of glycocholic acid on the growth, membrane permeability, conjugation and antibiotic susceptibility of Enterobacteriaceae.pdf by Bar Piscon (20906495)

“…Despite their lipopolysaccharide membrane layer, we demonstrate that, in liquid, GCA increases permeability, changes the surface of the Enterobacteriaceae membrane, and compromises its integrity. …”

Group-level distributions of magnitude-squared coherence (MSC) changes across theta, alpha, beta, and broadband gamma physiological frequency bands. by Kara M. Donovan (21445866)

“…Significance threshold Bonferroni-corrected for multiple comparisons. …”

Table 1_Predicting the potential distribution of Corylus heterophylla in China under future climate change using an optimized MaxEnt model.docx by Jingyu Wang (292122)

“…The dominant factors influencing the distribution were identified as Bio16 (Precipitation of wettest quarter, 39.5%), Bio9 (Mean temperature of driest quarter, 22.2%), Alt (Altitude, 16.2%), and Bio3 (Isothermality, 7.1%). …”

Supplementary file 1_Instability and uncertainty of carbon storage in karst regions under land use change: a case study in Guiyang, China.docx by Heng Zhou (287510)

“…By 2035, projections under natural development, urban expansion, and ecological protection scenarios estimate increases to 147.50 Tg, 147.40 Tg, and 147.82 Tg, respectively. (2) Carbon storage instability increased from 2000 to 2020, while uncertainty is expected to decrease by 2035. Instability was primarily due to transitions of Cropland-Forest, Forest-Cropland, Cropland-Grassland, and Cropland-Impervious, while uncertainties mainly arise from Cropland-Forest, Cropland-Impervious, and Grassland-Impervious transitions. (3) DEM, AI, Distance from national highways, SHDI, and Mean annual precipitation affected instability significantly. (4) Encouraging Shrub-Forest, Shrub-Cropland and Cropland-Forest conversions, and controlling Forest-Cropland, Forest-Shrub, and Cropland-Impervious conversions within the stable intervals of factors, can enhance carbon storage and reduce uncertainty. …”

Toxic activity of AS56 on the larval feeding behavior of <i>S. exigua.</i> by Niayesh Shahmohammadi (21262234)

“…Different letters above standard error bars or asterisks denote significant differences among means at Type I error = 0.05 (LSD test). …”

Effects of task optimization on pareidolia representations in CNNs. by Pranjul Gupta (20623949)

“…Conversely, in CNNs lacking object categorization training (Panels B, C), this similarity was weak, only reaching significance at early layers, and decreased across layers. …”