The ROC of MNB for three classes. by Mohammadreza Namdar (22439057)

“…<div><p>Software bug report classification is one of the most significant processes in software development for determining the nature and severity of faults based on their causes and effects. …”

Problem solution process model. by Mohammadreza Namdar (22439057)

“…<div><p>Software bug report classification is one of the most significant processes in software development for determining the nature and severity of faults based on their causes and effects. …”

The ROC of SVM for three classes. by Mohammadreza Namdar (22439057)

“…<div><p>Software bug report classification is one of the most significant processes in software development for determining the nature and severity of faults based on their causes and effects. …”

The ROC of RF for three classes. by Mohammadreza Namdar (22439057)

“…<div><p>Software bug report classification is one of the most significant processes in software development for determining the nature and severity of faults based on their causes and effects. …”

The ROC of GNB for three classes. by Mohammadreza Namdar (22439057)

“…<div><p>Software bug report classification is one of the most significant processes in software development for determining the nature and severity of faults based on their causes and effects. …”

The accuracy of classifiers and voting plans. by Mohammadreza Namdar (22439057)

“…<div><p>Software bug report classification is one of the most significant processes in software development for determining the nature and severity of faults based on their causes and effects. …”

A summary of state-of-the-art in the literature. by Mohammadreza Namdar (22439057)

“…<div><p>Software bug report classification is one of the most significant processes in software development for determining the nature and severity of faults based on their causes and effects. …”

Metrics formula [24]. by Mohammadreza Namdar (22439057)

“…<div><p>Software bug report classification is one of the most significant processes in software development for determining the nature and severity of faults based on their causes and effects. …”

Memory effect on effective memory lifetime. by Katherine Daftari (20910118)

“…<p>(A) The average mutual information as a function of delay time decreases as the value of <i>μ</i> increases and the self-avoidant memory response is suppressed. …”

Scaling analyses and morphometrics of <i>Ginkgo biloba</i> seeds by Wen Gu (129075)

“…<i>M</i> decreased from values significantly greater than one to values less than one as EI increased. …”

Baseline measures of participants. by Philippa Charlotte Rose Wheble (21578605)

“…Post hoc Wilcoxon-signed rank tests with Bonferroni correction for multiple comparisons revealed significant differences between K-MPAI scores at time points Post 3 and Pre 3 (z = 3.00, adj. p = .040), Post 3 and Pre 2 (z = 3.27, adj. p = .016) and Post 3 and Pre 1 (z = 2.95, adj. p = .048). …”

Demographic characteristics of participants. by Philippa Charlotte Rose Wheble (21578605)

“…Post hoc Wilcoxon-signed rank tests with Bonferroni correction for multiple comparisons revealed significant differences between K-MPAI scores at time points Post 3 and Pre 3 (z = 3.00, adj. p = .040), Post 3 and Pre 2 (z = 3.27, adj. p = .016) and Post 3 and Pre 1 (z = 2.95, adj. p = .048). …”

<i>trus</i> mutant displays higher embryonic lethality. by Saeko Takada (21616085)

“…Additional Tap-tagging and mass spectrometry of components in Trus complexes isolated from <i>Drosophila</i> Kc cells identified Ribosomal protein subunit 2 (RpS2), which is coded by <i>string of pearls (sop)</i> in <i>Drosophila,</i> and Eukaryotic translation elongation factor 1 alpha 1 (eEF1α1) as interacting factors. …”

Data - <i>trus</i>RNAi wing size measurement. by Saeko Takada (21616085)

“…Additional Tap-tagging and mass spectrometry of components in Trus complexes isolated from <i>Drosophila</i> Kc cells identified Ribosomal protein subunit 2 (RpS2), which is coded by <i>string of pearls (sop)</i> in <i>Drosophila,</i> and Eukaryotic translation elongation factor 1 alpha 1 (eEF1α1) as interacting factors. …”

Information of core targets. by Guobing Wang (288885)

“…The difference between the single drug group and the corresponding low dose group was significant (P<0.001). After Hela cells were cultured for 72 h, the mRNA and protein expressions corresponding to EGFR, TNF-α, VEGFA, PI3K, AKT and MDM2 were decreased in the experimental group compared with the control group as confirmed by RT-PCR and Western blot, and the extent of the decrease was more obvious with the increase of the drug concentration, and under the condition of the same drug dosage, the effect of the Baicalein group was more pronounced than that of the Wogonin group, and the effect was more obvious in the two-drug group compared with the single-drug group (P<0.05).…”

Composition of Scutellaria Barbata. by Guobing Wang (288885)

“…The difference between the single drug group and the corresponding low dose group was significant (P<0.001). After Hela cells were cultured for 72 h, the mRNA and protein expressions corresponding to EGFR, TNF-α, VEGFA, PI3K, AKT and MDM2 were decreased in the experimental group compared with the control group as confirmed by RT-PCR and Western blot, and the extent of the decrease was more obvious with the increase of the drug concentration, and under the condition of the same drug dosage, the effect of the Baicalein group was more pronounced than that of the Wogonin group, and the effect was more obvious in the two-drug group compared with the single-drug group (P<0.05).…”

GO function enrichment analysis. by Guobing Wang (288885)

“…The difference between the single drug group and the corresponding low dose group was significant (P<0.001). After Hela cells were cultured for 72 h, the mRNA and protein expressions corresponding to EGFR, TNF-α, VEGFA, PI3K, AKT and MDM2 were decreased in the experimental group compared with the control group as confirmed by RT-PCR and Western blot, and the extent of the decrease was more obvious with the increase of the drug concentration, and under the condition of the same drug dosage, the effect of the Baicalein group was more pronounced than that of the Wogonin group, and the effect was more obvious in the two-drug group compared with the single-drug group (P<0.05).…”

KEGG functional enrichment analysis. by Guobing Wang (288885)

“…The difference between the single drug group and the corresponding low dose group was significant (P<0.001). After Hela cells were cultured for 72 h, the mRNA and protein expressions corresponding to EGFR, TNF-α, VEGFA, PI3K, AKT and MDM2 were decreased in the experimental group compared with the control group as confirmed by RT-PCR and Western blot, and the extent of the decrease was more obvious with the increase of the drug concentration, and under the condition of the same drug dosage, the effect of the Baicalein group was more pronounced than that of the Wogonin group, and the effect was more obvious in the two-drug group compared with the single-drug group (P<0.05).…”

Principal coordinates analysis (PCoA). by Wararak Choovanichvong (22110371)

“…</p><p>Results</p><p>The overall bacterial abundance and distribution were significantly higher in the SESKD and NSESKD groups compared to the control group (<i><i>p</i></i> < 0.05), with no significant differences between the SESKD and NSESKD groups. …”

Figure 3 from Hypoxia-Induced Long Noncoding RNA <i>HIF1A-</i><i>AS2</i> Regulates Stability of MHC Class I Protein in Head and Neck Cancer by Tsai-Tsen Liao (19772247)

“…The infiltrated immune cells that significantly decreased in patients with HIF1A-AS2(H) were labeled in green text and conversely were highlighted in red text. …”