Baseline characteristics of the study population. by Hanbin Wu (14016246)

“…Compared to the normal group, women with preconception hypoglycemia had increased IPTW-multivariate adjusted ORs of PTB by 10% (95% CI [1.08, 1.12], <i>P</i> < 0.001), LBW by 8% (95% CI [1.03, 1.12], <i>P</i> = 0.001), SGA by 7% (95% CI [1.05, 1.08], <i>P</i> < 0.001), and birth defects by 21% (95% CI [1.06, 1.37], <i>P</i> = 0.004), while the ORs of medical abortion decreased by 6% (95% CI [0.91, 0.98], <i>P</i> = 0.002), miscarriage or early stillbirth by 5% (95% CI [0.92, 0.97], <i>P</i> < 0.001), macrosomia by 12% (95% CI [0.86, 0.90], <i>P</i> < 0.001), and LGA by 12% (95% CI [0.86, 0.89], <i>P</i> < 0.001) if mothers had a preconception hypoglycemia. …”

Table_3_Effectiveness of written emotional disclosure interventions for eating disorders: a systematic review and meta-analysis.pdf by Yufei Wang (171069)

“…Written emotional disclosure has been recognized as a therapeutic technique that may be helpful in aiding patients’ emotional and psychological adjustment. …”

Table_2_Effectiveness of written emotional disclosure interventions for eating disorders: a systematic review and meta-analysis.XLSX by Yufei Wang (171069)

“…Written emotional disclosure has been recognized as a therapeutic technique that may be helpful in aiding patients’ emotional and psychological adjustment. …”

Table_1_Effectiveness of written emotional disclosure interventions for eating disorders: a systematic review and meta-analysis.DOCX by Yufei Wang (171069)

“…Written emotional disclosure has been recognized as a therapeutic technique that may be helpful in aiding patients’ emotional and psychological adjustment. …”

Supplementary file 1_Tourette syndrome and brain stimulation therapy: a systematic review and meta-analysis of current evidence.docx by Alwaleed K. Aloufi (20741537)

“…</p>Results<p>22 studies met the inclusion criteria, with a total of 222 participants. Analysis of RCTs investigating post-intervention rTMS vs baseline showed a statistically insignificant decrease in YGTSS (MD = -5.01, 95% CI: [-10.8, 0.79], P= 0.090) but a statistically significant decrease in YBOCS (MD = -6.6; 95% CI: [-11.64, -1.55], P= 0.010). …”

Critical period EB odorant experience via Or42a neurons specifically elevates VM7 serotonin signaling. by Vanessa Kay Miller (19775496)

“…Two-way ANOVA with Tukey’s multiple comparisons show a significant increase in serotonin (<i>n</i> = 12/condition, <i>p</i> = 7.13 × 10⁻⁵) and a significant decrease in VM7 innervation (<i>n</i> = 12/condition, <i>p</i> = 4.78 × 10⁻¹⁰) with EB experience. …”

Effects of the presence of stabilimentum concerning prey vibration acting in the direction tangent to the spiral threads. by G. Greco (7636232)

Raw data. by Mohamed Condé (22622306)

“…Increased use of opiates in the Emergency Department, elevated total leucocyte count, breath rate, and decreased red blood cell count were not significantly associated with ACS occurrence (p > 0.05). …”

Risk factors for ACS (multivariate analysis). by Mohamed Condé (22622306)

“…Increased use of opiates in the Emergency Department, elevated total leucocyte count, breath rate, and decreased red blood cell count were not significantly associated with ACS occurrence (p > 0.05). …”

Raw data. by Mohamed Condé (22622306)

“…Increased use of opiates in the Emergency Department, elevated total leucocyte count, breath rate, and decreased red blood cell count were not significantly associated with ACS occurrence (p > 0.05). …”

Characteristics of the 280 VOCs at inclusion. by Mohamed Condé (22622306)

“…Increased use of opiates in the Emergency Department, elevated total leucocyte count, breath rate, and decreased red blood cell count were not significantly associated with ACS occurrence (p > 0.05). …”

Table 2_Quantitative evaluation of IVL: based on the tunica media gypsum calcification model and a prospective animal study.doc by Zongwei Liu (3133743)

Table 1_Quantitative evaluation of IVL: based on the tunica media gypsum calcification model and a prospective animal study.doc by Zongwei Liu (3133743)

Image 1_BmElmo is a factor for inhibiting Autographa Californica nucleopolyhedrovirus infection in silkworm, Bombyx mori.tif by Zhi-sheng Wang (20981183)

“…AcMNPV replication increased significantly after BmElmo knockdown in BmN cells, and decreased significantly after BmElmo overexpression. …”

Overall model framework. by Ke Yan (331581)

“…On the other hand, taking English writing teaching as an example, the proposed method is further verified by designing a comparative experiment in groups. 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)

“…On the other hand, taking English writing teaching as an example, the proposed method is further verified by designing a comparative experiment in groups. 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)

“…On the other hand, taking English writing teaching as an example, the proposed method is further verified by designing a comparative experiment in groups. 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)

“…On the other hand, taking English writing teaching as an example, the proposed method is further verified by designing a comparative experiment in groups. 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)

“…On the other hand, taking English writing teaching as an example, the proposed method is further verified by designing a comparative experiment in groups. 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. …”

Effects of extracorporeal shock wave therapy on motor function in patients with cerebral palsy: a systematic review and meta-analysis by Hui-Hui Peng (21503736)

“…In addition, spasticity significantly decreases, particularly with focused ESWT or ESWT targeting the upper limbs.…”