Model performance 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. …”

The result compared with other existing methods. 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. …”

Fig S1. by Leonardo Santos (477304)

“…Data are presented as mean ± SD (n = 4 per group). Statistical significance was determined using an unpaired t-test. …”

Excel raw data. by Michael Getie (12400923)

“…The effectiveness of currently available antimicrobial is decreasing due to the increasing prevalence of resistant strains among bacterial isolates. …”

Alp5a and Alp5b are not individually required for asexual blood stage propagation, but simultaneously, they are indispensable for parasite viability. by Aastha Varshney (22601181)

“…The number of schizonts decreased significantly in all the treated groups (cytochalasin D, *P = 0.0257; jasplankinolide, **P = 0.0082; and CK-666, **P = 0.0012). …”

AC-LPN circuit control high temperature induced increase of evening sleep. by Xin Yuan (174619)

“…Data (G) were quantified with unpaired <i>t</i> test. ns = not significant, *<i>P</i> < 0.05, **<i>P</i> < 0.01, ***<i>P</i> < 0.001, ****<i>P</i> < 0.0001. …”

Isolation and characterization of the <i>clr4–1</i> mutant strain. by Ziyue Liu (381532)

“…The statistical significance (<i>p</i>-value) of the overlap between each of the two groups using a hypergeometric test is shown under the diagrams. …”

Characterization of <i>S. japonicus pab</i>2Δ. by Ziyue Liu (381532)

“…The statistical significance (<i>p</i>-value) of the overlap between each of the two groups using a hypergeometric test is shown under the diagrams. …”

Effect of inhibitors on the growth of <i>P. falciparum</i> and <i>P. berghei</i> blood stage parasites. by Aastha Varshney (22601181)

“…The number of schizonts significantly decreased in the jasplankinolide (****P < 0.0001; one-way ANOVA)- and CK-666 (***P = 0.003; unpaired Student’s t test)-treated groups. …”

Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event by Thomas Clemens Carmine (19756929)

Systemic injection of TSA reduces hearing loss in <i>Col4a3</i> KO mice. by Yoon Seok Nam (20678482)

“…*P < 0.05, **P < 0.01, ***P < 0.001 based on ANOVA with Tukey’s post hoc test (n = 12). (C) The tone burst results showed a significant decrease at 8, 16, 24, and 32 kHz in TSA-treated <i>Col4a3</i> KO mice at 6–7 weeks. …”

The circadian LPN promote sleep through AstC pathway. by Xin Yuan (174619)

“…(H, I) Thermogenetic inhibition of LPNs with Shibire^TS (<i>LPN-spGal4>Shib</i>^<i>TS</i>; red line) leads to a significant decrease in sleep relative to baseline. …”

Knockdown of <i>fhplk1</i> disrupts growth and cell proliferation in juvenile <i>Fasciola hepatica in vitro.</i> by Paul McCusker (634425)

“…<b>(C)</b> Mean # EdU⁺ nuclei ±SEM significantly decreased after four weeks of <i>fhplk1</i> dsRNA treatments in juvenile <i>F. hepatica</i> (n ≥ 15 for each treatment; Mann-Whitney U test). …”

Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) by Kerol Djoumessi (21349992)

Generated spline library. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Correlation coefficient matrix. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

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

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

RMSE versus learning rate. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

RMSE versus training parameters. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

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

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”