Data Set. by Gozde Ibili (20715538)

“…The results revealed that maladaptive perfectionism significantly mediated the relationship between mindfulness and procrastination -indicating that dispositional mindfulness has a significant indirect effect on procrastination via decreased levels of maladaptive perfectionism. …”

Conceptual Framework. by Gozde Ibili (20715538)

“…The results revealed that maladaptive perfectionism significantly mediated the relationship between mindfulness and procrastination -indicating that dispositional mindfulness has a significant indirect effect on procrastination via decreased levels of maladaptive perfectionism. …”

MDSC inhibition was correlated with Trp metabolism in 17ZR101-infected lungs. by Qi Xu (134661)

“…(f) Volcano plot analysis of the significantly increased or decreased metabolites. n=6/group. …”

Treatment plan of wheat maize composite blends. by Muhammad Adnan (678952)

“…The mineral analysis of various flours showed an increase in the calcium, magnesium, potassium and sodium while decrease in zinc contents. The pasting behaviour of wheat maize composite blends showed a significant decrease in their viscosities as the quantity of maize flour increased. …”

Proportion of large and small EEFs over time in the different culture conditions and for each biological replicate. by Erica M. Pasini (3146643)

The timeline of the experiment. by Shadi Nazarizadeh (20108029)

“…EEG power in the HINS group decreased significantly compared to other experimental groups (p<0.05). …”

S1 Raw data - by Shadi Nazarizadeh (20108029)

“…EEG power in the HINS group decreased significantly compared to other experimental groups (p<0.05). …”

S1 Graphical abstract - by Shadi Nazarizadeh (20108029)

“…EEG power in the HINS group decreased significantly compared to other experimental groups (p<0.05). …”

RBM39 methylation by PRMT6 increases RBM39 stability by inhibiting its ubiquitination. by Tongjia Zhang (16496661)

The long-term <i>in vitro</i> surrogate bacterial viability of canine and feline FMT products frozen at -80°C for six months. by Nina K. Randolph (21030732)

“…<p>All canine FMT products exhibited a significant decrease in overall bacterial viability at the six-month timepoint. …”

LNd stimulate LPN to form a circadian feedback circuit. by Xin Yuan (174619)

“…Data (D) were quantified with unpaired <i>t</i> test. Data (G, I) were analyzed using Welch’s one-way ANOVA. ns = not significant, *<i>P</i> < 0.05, **<i>P</i> < 0.01, ***<i>P</i> < 0.001, ****<i>P</i> < 0.0001. …”

NPF-NPFR pathway in LNd-LPN feedback circuit fine-tune cooling induced locomotion increase. by Xin Yuan (174619)

“…Data (G, J, M, P) were analyzed with Welch’s one-way ANOVA (letters a, b denote significance, <i>P</i> < 0.05). Data (F, I, L, O) were quantified with paired <i>t</i> test. …”

Friedman statistic and p-value across iterations. by Marwah Salman (22593380)

“…A Friedman statistical test was applied to validate the results over five iterations of model training. …”

The effect of DC bias on clipping noise variance. by Marwah Salman (22593380)

“…A Friedman statistical test was applied to validate the results over five iterations of model training. …”

Performance of RF regression model. by Marwah Salman (22593380)

“…A Friedman statistical test was applied to validate the results over five iterations of model training. …”

Disruption of OGG1-RNA interaction reduces RSV progeny production. by Lang Pan (5145221)

“…Statistical analysis was conducted using an unpaired Student’s <i>t</i> test, with results shown as means ± SD. Significance levels are indicated as **<i>p</i> < 0.01, ***<i>p</i> < 0.001.…”

Expression of ‘muscle’ genes in the tendon during early postnatal development. by Heather L. Dingwall (14573796)

Overall model framework. by Ke Yan (331581)

“…The results show that: (1) From the experimental data of word sense disambiguation, the accuracy of the SMOSS-LSTM model proposed in this paper is the lowest when the context range is "3+3", then it rises in turn at "5+5" and "7+7", reaches the highest at "7+7", and then begins to decrease at "10+10"; (2) Compared with the control group, the accuracy of syntactic analysis in the experimental group reached 89.5%, while that in the control group was only 73.2%. (3) In the aspect of English text error detection, the detection accuracy of the proposed model in the experimental group is as high as 94.8%, which is significantly better than the traditional SMOSS-based text error detection method, and its accuracy is only 68.3%. (4) Compared with other existing researches, although it is slightly inferior to Bidirectional Encoder Representations from Transformers (BERT) in word sense disambiguation, this proposed model performs well in syntactic analysis and English text error detection, and its comprehensive performance is excellent. …”

Key parameters of LSTM training model. by Ke Yan (331581)

“…The results show that: (1) From the experimental data of word sense disambiguation, the accuracy of the SMOSS-LSTM model proposed in this paper is the lowest when the context range is "3+3", then it rises in turn at "5+5" and "7+7", reaches the highest at "7+7", and then begins to decrease at "10+10"; (2) Compared with the control group, the accuracy of syntactic analysis in the experimental group reached 89.5%, while that in the control group was only 73.2%. (3) In the aspect of English text error detection, the detection accuracy of the proposed model in the experimental group is as high as 94.8%, which is significantly better than the traditional SMOSS-based text error detection method, and its accuracy is only 68.3%. (4) Compared with other existing researches, although it is slightly inferior to Bidirectional Encoder Representations from Transformers (BERT) in word sense disambiguation, this proposed model performs well in syntactic analysis and English text error detection, and its comprehensive performance is excellent. …”

Comparison chart of model evaluation results. by Ke Yan (331581)

“…The results show that: (1) From the experimental data of word sense disambiguation, the accuracy of the SMOSS-LSTM model proposed in this paper is the lowest when the context range is "3+3", then it rises in turn at "5+5" and "7+7", reaches the highest at "7+7", and then begins to decrease at "10+10"; (2) Compared with the control group, the accuracy of syntactic analysis in the experimental group reached 89.5%, while that in the control group was only 73.2%. (3) In the aspect of English text error detection, the detection accuracy of the proposed model in the experimental group is as high as 94.8%, which is significantly better than the traditional SMOSS-based text error detection method, and its accuracy is only 68.3%. (4) Compared with other existing researches, although it is slightly inferior to Bidirectional Encoder Representations from Transformers (BERT) in word sense disambiguation, this proposed model performs well in syntactic analysis and English text error detection, and its comprehensive performance is excellent. …”