Effect of session on winning model parameters for set size = 2 and set size = 4 for both male and females. by Juliana Chase (20469427)

“…Similar to what was seen in comparisons between regression coefficients and age, there was no effect of experience on <i>α</i>₊ (A,F) or <i>β</i> (B,G) for either sex. Use of one-back strategy parameters changed significantly across sessions for male mice with (C) S1 “Inappropriate Lose Shift” decreasing across sessions, <i>p</i> = 0.01 (D) S2 = S4 “Stimulus Insensitive Win Stay” increasing, <i>p</i> = 0.009 and (E) S3 “Inappropriate Lose Stay” decreasing, <i>p</i> < 0.0001. …”

Table 1_Biomechanical mechanisms of multidirectional dynamic compensatory muscle fatigue induced by abnormal cervical curvature: a cross-sectional case-control study based on surfa... by Rui Yang (293531)

“…During dynamic activities, muscle fatigue was exacerbated in the abnormal curvature group: during extension, the left UT showed significantly decreased MPF (p < 0.01) and MF (p < 0.05); during flexion, the left SCM exhibited significantly increased MPFs (p < 0.05) and MFs (p < 0.01). …”

DataSheet1_Probiotics combined with prebiotics alleviated seasonal allergic rhinitis by altering the composition and metabolic function of intestinal microbiota: a prospective, ran... by Yangfan Hou (8043884)

“…From baseline to day 91, mean difference between groups (MDBG) in the reduction of TNSS was -1.1 (-2.2, -0.1) (P = 0.04); MDBG in the increment of TNF-α was 7.1 pg/ml (95% CI: 0.8, 13.4, P = 0.03); the INF-γ level was significantly increased (P = 0.01), whereas that of IL-17 (P = 0.005) was significantly decreased in the test group, whilst mean difference within groups was not statistically significant in the placebo group; MDBG in the increment of acetate was 12.4% (95% CI: 7.1%, 17.6%, P <0.001). …”

Histopathology of peripheral axon and myelin of cochlear nerve in aged mice. by Yoshiaki Inuzuka (22386349)

Histopathology of spiral ganglion neurons in aged mice. by Yoshiaki Inuzuka (22386349)

Results for the EPIC bowel subscale and the EORTC QLQ PR25 bowel symptoms scale. by John N. Staffurth (20636565)

“…A statistically significant (6 months versus baseline, P = 0.005; 12 months versus baseline, P = 0.013) increase occurs in bowel QoL (i.e., a reduction in symptoms). …”

Bird’s own song is similarly represented by NCM neurons when sung or played back a) Schematic of behavioral contexts. b-e) Effect of behavioral context on response properties of ne... by Daniel J. Pollak (14593065)

Table 1_Inflammatory parameters mediates the relationship between dietary index for gut microbiota and frailty in middle-aged and older adults in the United States: findings from a... by Qijiang Yang (21096683)

“…RCS showed that the risk of frailty decreased linearly with increasing DI-GM levels. Mediation analysis indicated significant effects for leukocyte count, neutrophil count, NLR, and SIRI, with mediation proportions of 5.7, 7.9, 4.4, and 5.5%, respectively (all p < 0.001).…”

Glucagon-like peptide 1 receptor agonists modestly reduced low-density lipoprotein cholesterol and total cholesterol levels independent of weight reduction: a meta-analysis and met... by Frederick Berro Rivera (12679463)

“…</p> <p>GLP-1RA treatment modestly decreased LDL-C and TC but did not significantly affect triglycerides, VLDL-C, or HDL-C.…”

Data Sheet 1_Biomechanical mechanisms of multidirectional dynamic compensatory muscle fatigue induced by abnormal cervical curvature: a cross-sectional case-control study based on... by Rui Yang (293531)

“…During dynamic activities, muscle fatigue was exacerbated in the abnormal curvature group: during extension, the left UT showed significantly decreased MPF (p < 0.01) and MF (p < 0.05); during flexion, the left SCM exhibited significantly increased MPFs (p < 0.05) and MFs (p < 0.01). …”

Generated spline library. by Zhe Hu (787283)

“…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”

Correlation coefficient matrix. by Zhe Hu (787283)

“…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”

Actual measurement of shape errors. by Zhe Hu (787283)

“…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”

RMSE versus learning rate. by Zhe Hu (787283)

“…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”

RMSE versus training parameters. by Zhe Hu (787283)

“…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”

Assembly process of machine recognition form. by Zhe Hu (787283)

“…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”

Process of steel truss incremental launching. by Zhe Hu (787283)

“…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”

CGAN and AutoML stacking device. by Zhe Hu (787283)

“…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”

Comprehensive prediction process of shape errors. by Zhe Hu (787283)

“…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”

Shape error manual calculation process. by Zhe Hu (787283)

“…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”