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). …”

ELISA kit information. by Shuailin Li (11907158)

“…<i>PTGFR</i> and <i>JNK</i> mRNA levels, MMP9 and ADH7 protein levels increased significantly in AN-LSCs after 0.313 μg/mL travoprost treatment (p≤0.039), while NF-κB and ADH7 protein levels decreased significantly in LSCs using 0.313 μg/mL travoprost (p=0.039; p<0.001).…”

Western blot antibody information. by Shuailin Li (11907158)

“…<i>PTGFR</i> and <i>JNK</i> mRNA levels, MMP9 and ADH7 protein levels increased significantly in AN-LSCs after 0.313 μg/mL travoprost treatment (p≤0.039), while NF-κB and ADH7 protein levels decreased significantly in LSCs using 0.313 μg/mL travoprost (p=0.039; p<0.001).…”

Information on healthy and aniridia subjects. by Shuailin Li (11907158)

“…<i>PTGFR</i> and <i>JNK</i> mRNA levels, MMP9 and ADH7 protein levels increased significantly in AN-LSCs after 0.313 μg/mL travoprost treatment (p≤0.039), while NF-κB and ADH7 protein levels decreased significantly in LSCs using 0.313 μg/mL travoprost (p=0.039; p<0.001).…”

qPCR primers information. by Shuailin Li (11907158)

“…<i>PTGFR</i> and <i>JNK</i> mRNA levels, MMP9 and ADH7 protein levels increased significantly in AN-LSCs after 0.313 μg/mL travoprost treatment (p≤0.039), while NF-κB and ADH7 protein levels decreased significantly in LSCs using 0.313 μg/mL travoprost (p=0.039; p<0.001).…”

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

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. …”

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. …”

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. …”

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. …”

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.…”

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. …”

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. …”

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. …”

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. …”

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. …”