The significantly altered bacteria between stress group and control group. by Durga Paudel (12635367)

“…(b) The relative abundance of <i>Facklamia</i> (at the genus level) was significantly increased, while that of <i>Corynebacterium</i> (at the genus level) was significantly decreased in the stress group when compared to those in the control groups (*p < 0.05; Welch’s t-test).…”

Comparison of training and predicted values of compound water solubility for different machine learning models: (A) AdaBoost, (B) GBDT, (C) LGBM, (D) RF, (E) XGBoost, (F) RF, and (... by Bin Pan (742525)

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<i>cd9a</i> is significantly decreased in <i>cd9a</i> KO embryos. by Katherine S. Marsay (11772718)

Presentation of significant differences of the kinematic and kinetic parameters during GC (ACH vs. CAH). Blue bars displaying significant differences. by Mareike Hergenröther (21567628)

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Colored points represent the dates where events from Fig 7, have a <i>p</i>-value below the <i>α</i> = 0.05 significance level, i.e. dates where the statistical behavior of the dur... by Héctor Raúl Olivares-Sánchez (13014866)

Data Sheet 1_Elevated relative humidity significantly decreases cannabinoid concentrations while delaying flowering development in Cannabis sativa L..docx by Ingrid Carolina Corredor-Perilla (22631510)

“…Furthermore, high RH significantly suppressed cannabinoid accumulation: cannabidiolic acid (CBD-A), cannabidiol (CBD), and cannabichromenic acid (CBC-A) levels decreased by approximately 4.9-fold, 3.2-fold, and 13-fold, respectively. …”

Boxplots summarizing the differences in agronomic traits. by Fatima Henkrar (17346528)

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Model verification of (A) water level and (B) depth averaged velocity under various discharges. by Haibin Xiong (11778010)

Impact of the NPIs for different VC on the cumulative fraction of infected and deceased individuals during a moderate influenza season. by Maria Chironna (2268574)

Significant differences of hot/cold spot areas. by ChuelWon Lee (13767119)

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Scatter plot for the significant Mendelian randomization (MR) association (P < 0.05) between mediators and anti-H. pylori IgG seropositivity. by Jing Wang (6206297)

Violin plots of the best fit modelled distributions of times to clinical outcome over the course of the pandemic for category A. by Thomas Ward (688068)

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The procedure of rat PVT modeling. by Zixiang Wang (7548716)

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Soil disturbance cross-sectional model. by Xia Li (14984)

“…A soil model was created in EDEM (Engineering Discrete Element Method)based on field conditions to analyze the subsoiler’s force distribution, ensuring the nozzle remains undeformed and the subsoiling process runs smoothly. …”

Fitting analysis results of the model performance in different data sets. by Rui Zhang (13940)

Models in which the class by year interaction was significant. by Julie H. Wolfe (21020902)

Model test results. by Xiaoyu Wan (644814)

“…It is found that: (1) the scale and vitality of China’s digital technology innovation have increased significantly, and there are obvious spatial differentiation characteristics, and the innovation level of "eastern coastal—central and western interior" is decreasing, forming a cluster distribution pattern in the Yangtze River Delta region, Beijing, Guangdong, and other places, and the degree of agglomeration is decreasing. (2) The overall regional differences in China’s digital technology innovation are large, the differences between the East and the West dominate the interregional differences, and the net differences between regions are the main factors leading to regional differences. (3) There is a significant positive spatial correlation between the scale and vitality of digital technology innovation, which has a significant spatial spillover effect. (4) The results confirm that the level of economic development, digital access, financial scientific and technological support, technology market development level, and R&D intensity have a significant positive impact on the scale and vitality of digital technology innovation; The investment in scientific and technological talents has a significant positive impact on the scale of digital technology innovation, but has no significant impact on the vitality of digital technology innovation.…”

Analysis of Significantly Different ARGs and Resistance Mechanisms. by Xu Jia (187142)

Difference in significant parameter changes for the tetanised compared to non-tetanised model. by Rachael L. Sumner (10017837)

Mechanical model of geogrid element. by Qingwen Li (1510687)

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