Effect of fasudil on clinical outcomes of pulmonary hypertension: a systematic review and meta-analysis by Wanying Bao (19665769)

“…</p> <p>Inclusion of 3269 Group-3 PH patients demonstrated that Fasudil increased effective events, forced expiratory volume in one second (FEV₁), 6-minute walking distance (6MWD) and arterial partial pressure of oxygen (PaO₂), and decreased mean pulmonary artery pressure (mPAP) and pulmonary artery systolic pressure (PASP); Inclusion of 197 Group-2 PH patients suggested that Fasudil increased 6MWD and PaO₂, and decreased PASP. …”

Blood test data. by Yasuaki Mushiga (21485741)

“…However, in the DM with DR group, LDLC levels showed significant positive correlations with RNFL (P = 0.002), GCL (P = 0.034), and NRL (P = 0.002) volumes. …”

Characteristic of the eyes. by Yasuaki Mushiga (21485741)

“…However, in the DM with DR group, LDLC levels showed significant positive correlations with RNFL (P = 0.002), GCL (P = 0.034), and NRL (P = 0.002) volumes. …”

Raw data of the participants. by Yasuaki Mushiga (21485741)

“…However, in the DM with DR group, LDLC levels showed significant positive correlations with RNFL (P = 0.002), GCL (P = 0.034), and NRL (P = 0.002) volumes. …”

Parameters of VMR separated by light or dark periods run at 6 dpf. by Morgan Barnes (7876373)

“…(I-K) VMR parameters in dnVDRa induced zebrafish at 72 hpf. There is a significant decrease in distance moved (p < 0.05), a significant decrease in velocity the light period (p < 0.05) and a significant decrease in activity state in the light periods (p < 0.05) in the 72 + fish. …”

Supplementary file 1_The impact of enterprise digital transformation on employees’ intrinsic motivation: the mediating role of justice perceptions.docx by Xiaorui Chang (22804850)

“…The research results, derived from path analysis and moderating effect analysis methods, indicate that enterprise digital transformation has an motivational effect on employees’ intrinsic motivation, and employees’ distributive justice, procedural justice, and interactional justice perceptions all play significant mediating roles, while information processing job characteristics show significantly different moderating effects on different motivational paths: When information processing are low, the distributive justice path loses its motivational effect, while the motivational effect of the interactional justice path significantly decreases when information processing are high, and the moderating effect on the procedural justice path is always insignificant. …”

Visual motor response assay at 28 dpf. by Morgan Barnes (7876373)

“…There is a significant decrease in distance moved in the dark period (p < 0.05), a significant decrease in velocity in the dark (p < 0.05) and light (p < 0.01) periods, a significant decrease in activity state in the dark period (p < 0.001) and light period (p < 0.01) and a significant decrease in distance to point in the dark period (p < 0.05) and light period (p < 0.05) in the 48 + fish. …”

Gene expression of neurotransmitter pathways at 6 dp. by Morgan Barnes (7876373)

“…In the 72 hpf dnVDRa induced fish there is a significant decrease in glyt2 expression (p < 0.01). …”

Model fit indices for social isolation. by Juhee Choi (2619733)

“…</p><p>Results</p><p>A significant three-way interaction was found between time, depression severity, and COVID-19 diagnosis, while anxiety severity showed no significant interaction. …”

Multilevel model analysis of social isolation. by Juhee Choi (2619733)

“…</p><p>Results</p><p>A significant three-way interaction was found between time, depression severity, and COVID-19 diagnosis, while anxiety severity showed no significant interaction. …”

A. Representation of the flagellar pocket region in successive stages of flagellar pocket division and new flagellar pocket collar formation. by Marie Zelená (22404144)

Acoustic Startle at 28 dpf. by Morgan Barnes (7876373)

“…(C) There is a significant decrease of PPI in the 48+ and 72 + fish (p < 0.0001). …”

Variability in performance and response to task dynamics. by Daniel Ramandi (10047543)

“…(E) When focusing on five consecutive successful trials, WT mice showed a significant reduction in trajectory variability, whereas zQ175 mice exhibited only a slight decrease, predominantly in the last trial, hinting at genotype-specific differences in optimizing performance following success (RM two-way ANOVA, genotype p = 0.746 F(1, 22) = 0.1074, trial p = 0.012 F(2.836, 62.38) = 4.045, interaction p = 0.018 F(3, 66) = 3.561). …”

European study sites. by Graeme T. Swindles (7192745)

“…We find that summer temperature is a significant climatic control on aPAR across our European sites. …”

Location of study sites. by Graeme T. Swindles (7192745)

“…We find that summer temperature is a significant climatic control on aPAR across our European sites. …”

Variation of shear stress during the pullout of a single fiber with respect to the shear strain [41]. by Ping Gao (172038)

Modulation of performance during learning. by Daniel Ramandi (10047543)

“…(B) A longitudinal comparison of the average exponential fit weight between WT and zQ175 mice reveals that while WT mice show a decreasing trend, indicating a shift towards longer duration (“timed”) trials, zQ175 mice maintain a consistently high exponential weight, demonstrating no significant change over time (b; RM two-way ANOVA, genotype p = 0.0106 F(1, 22) = 7.795, days p < 0.0001 F(5.262, 115.4) = 7.616, interaction p < 0.0001 F(57, 1250) = 2.834). …”

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. …”