Representation of better of the two eyes’ monocular FMTs and binocular FMTs. by C. Vijay Reena Durai (14498259)

Subjects:

Fig 1 - by C. Vijay Reena Durai (14498259)

Subjects:

VANGL2 recruits NLRP3 to OPTN for selective autophagic degradation. by Huaji Jiang (16907514)

Self-organising map-based dynamic decision-making algorithm for heterogeneous wireless sensor network by Umesh M. Kulkarni (10098026)

Effect of SERINC5 antagonism on HIV-1 replication in PBMC cultures. by Dorota Kmiec (5646374)

VANGL2 recruits MARCH8 to promote the K27-linked ubiquitination of NLRP3. by Huaji Jiang (16907514)

MCM-BP can decrease phosphorylation by DDK but is not a substrate. by Tin Nguyen (231591)

Paeameter ranges and optimal values. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Improved random forest algorithm. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Datasets used in the study area. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Evaluation of the improved random forest model. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Comparison of model metrics. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Flowchart of population spatialization. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Presentation_1_Do We Overestimate the Within-Variability? The Impact of Measurement Error on Intraclass Coefficient Estimation.pdf by Rafael Wilms (8858795)

Repetitive stress induces a decrease in sound-evoked activity. by Ghattas Bisharat (20706928)

“…<p>(a) Left: noise-evoked activity rates at different noise intensities for chronically tracked PPys cells in baseline and repeated stress conditions (<i>N</i> = 5 mice, <i>n</i> = 285 neurons, mean ± SE). Activity rates decreased during repeated stress compared to baseline (2-way ANOVA, condition F = 185.6, <i>p</i> = 4.8 × 10⁻⁴², condition: intensity interaction F = 10.37, <i>p</i> = 9.3 × 10⁻²¹, nested ANOVA (mouse nested within session), condition F = 174, <i>p</i> = 1.5 × 10⁻³⁹, condition: intensity interaction F = 12.7, <i>p</i> = 2 × 10⁻²⁶, post hoc for each level baseline versus repetitive stress <i>p</i> < 0.01 for all levels above 50 dB, all Bonferroni corrected). …”

5-hmC is increased during THP1 macrophage differentiation. by Fangfang Sun (2410654)

Mean seedling length of mung bean genotypes grown under Cd and pretreatments of GA₃, SA and proline prior to Cd. by Meher Hassan (11502144)

Mean total protein contents of mung bean grown under Cd and pretreatments of GA₃, SA and proline prior to Cd. by Meher Hassan (11502144)

Mean values for GPX activity in mung bean grown under Cd and pretreatments of GA₃, SA and proline prior to Cd. by Meher Hassan (11502144)

Mean relative water content of mung bean grown under Cd and pretreatments of GA₃, SA and proline prior to Cd. by Meher Hassan (11502144)