Variable settings and assignment descriptions. by Yuling Jin (11872953)

“…The results showed that (1) rural population aging had emerged as a significant challenge for Ulanqab, with the proportion of people aged 60 and above increasing from 12.3% in 2000 to 44.9% in 2020. …”

Investigating the Influence of Transition Metal Substitution in Lithium Argyrodites on Structure, Transport, and Solid-State Battery Performance by Johannes Hartel (16316022)

“…This leads to blocking of Li⁺ transport pathways within the Li⁺ cages causing a decrease of ionic conductivities along with increasing activation energies for Li⁺ transport. …”

Results of differential abundance assessment expressed as Log2 Fold Change (Log2FC) for comparison between different taxonomic groups after the intervention. by Adriana Bittencourt Campaner (21175462)

Scheme of the SiTFarm tool–farm to sector level. by Jure Brečko (20314959)

“…At the sector level, the gross margin decreased by 12% in 2020 but increased by 99% in 2022 compared to the reference year 2018, highlighting the incredible price volatility over a short period. …”

S1 File - by Jure Brečko (20314959)

“…At the sector level, the gross margin decreased by 12% in 2020 but increased by 99% in 2022 compared to the reference year 2018, highlighting the incredible price volatility over a short period. …”

GHG emissions in TAHs. by Jure Brečko (20314959)

“…At the sector level, the gross margin decreased by 12% in 2020 but increased by 99% in 2022 compared to the reference year 2018, highlighting the incredible price volatility over a short period. …”

Model vs. WKY group KEGG pathways (Top 15). by Xiao Zhang (152326)

“…Characteristic metabolites in the model group, such as ATP, cAMP, Creatine, Cyanocobalamin, Dopamine, Serotonin, Tryptophan, Uric acid and Vitamin B1 decreased, while GABA, Glucose, Isocitrate and Malate increased.…”

Behavioral data. by Xiao Zhang (152326)

“…Characteristic metabolites in the model group, such as ATP, cAMP, Creatine, Cyanocobalamin, Dopamine, Serotonin, Tryptophan, Uric acid and Vitamin B1 decreased, while GABA, Glucose, Isocitrate and Malate increased.…”

OPLS-DA model parameter. by Xiao Zhang (152326)

“…Characteristic metabolites in the model group, such as ATP, cAMP, Creatine, Cyanocobalamin, Dopamine, Serotonin, Tryptophan, Uric acid and Vitamin B1 decreased, while GABA, Glucose, Isocitrate and Malate increased.…”

Model vs. SHR group KEGG pathways (Top 15). by Xiao Zhang (152326)

“…Characteristic metabolites in the model group, such as ATP, cAMP, Creatine, Cyanocobalamin, Dopamine, Serotonin, Tryptophan, Uric acid and Vitamin B1 decreased, while GABA, Glucose, Isocitrate and Malate increased.…”

Effects of DHEA on proteoglycan production by chondrocytes. by Kai Huang (3983)

Evolution of behavioral measures for 300 networks over 16 trials with plasticity. by Jyotika Bahuguna (729510)

“…The average over all 300 networks also showed a steady decrease as shown in black markers and lines. B: The accuracy for the three categories of the networks and the average over all 300 networks increased with plasticity. …”

Hyperparameter settings. by Qingnan Ji (22662198)

“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”

Initial weight values and correlation thresholds. by Qingnan Ji (22662198)

“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”

Ablation experiment results comparison. by Qingnan Ji (22662198)

“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”

Adjustment step size. by Qingnan Ji (22662198)

“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”

Curve of data size vs. running time. by Qingnan Ji (22662198)

“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”

Data (3). by Qingnan Ji (22662198)

“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”

Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”

The Type I JAKinib, ruxolitinib, promotes pJAK1 and pJAK2 phosphorylation in MSCs from salivary glands. by Ilya Gurevic (1326786)

“…(E-G) were performed with replicates (n = 6; 3 SjD and 3 control) of our treatment conditions on the right with a representative western on the left; (E) pJAK1 proportion increased in a dose-dependent manner with increasing ruxolitnib; (F) pJAK2 proportion increased as ruxolitinib dose increased; (G) pSTAT1 decreased in a dose response relationship with increasing ruxolitinib. …”