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)

Data Sheet 1_Fatty infiltration and cross-sectional area as indicators of muscle mass in osteoporosis: a meta-regression study.pdf by Genwen Sun (22678739)

“…Three-level meta-regression models were implemented to examine the influence of study-level moderators, including age, sex, measurement level and comparison category.</p>Results<p>A significant decrease in CSA was observed only in osteoporotic patients compared with controls, and multiple muscle groups were evaluated. …”

Data Sheet 1_The impact of cell density variations on nanoparticle uptake across bioprinted A549 gradients.docx by Luigi Di Stolfo (21216599)

“…This inverse relationship correlated with greater average cell surface area in lower-density regions, while differences in the proliferation rates of the A549 cells at varying densities did not significantly impact uptake, did not significantly impact uptake.…”

Table 1_Cutaneous sensory symptoms and emotional regulation in non-clinical healthy students: a near-infrared spectroscopy study.docx by Sachiyo Ozawa (22289089)

“…</p>Results<p>Participants with higher cutaneous symptoms struggled more with maintaining attention during SART and showed less reduction in unpleasant emotions. Only those with lower symptoms experienced a decrease in unpleasant emotions. …”

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.…”

Data Sheet 1_Efficacy and safety of dietary polyphenol supplements for COPD: a systematic review and meta-analysis.zip by Dongsheng Wu (2469307)

“…</p>Results<p>The randomized controlled trials (RCTs) included in this review examined dietary supplementation with eight polyphenols—curcumin, resveratrol, anthocyanins, quercetin, salidroside, dietary beetroot juice, pomegranate juice, and adjunctive oral AKL1 treatment—across a total of 894 participants. This systematic review and meta-analysis revealed that, compared to a placebo; ① Curcumin significantly reduced systolic blood pressure (SBP) and improved FEV1(SMD=-0.82, 95%CI -1.53 to -0.11); ② Salidroside was effective in reducing thrombotic markers (TT, D-D), inflammatory factors (TNF-α) and symptom scores (CAT) (p<0.01); ③ Resveratrol significantly downregulates serum TNF-α and IL-8 levels (p=0.003); ④ Anthocyanins may accelerate lung function decline (decreased FEV1/FVC, which needs to be interpreted with caution); ⑤ Other polyphenols (quercetin, pomegranate juice, AKL1, etc.) did not show significant efficacy or insufficient evidence. …”

Supplementary Material for: Early initiation of icodextrin reduces peritoneal dialysis-associated peritonitis risk: a retrospective cohort study by Mitsuno R. (20394647)

“…The early use of ICO remained significantly associated with decreased incidence of both peritonitis and TI (hazards ratio [HR], 0.19; 95% confidence interval [CI], 0.06–0.69 and HR, 0.10; 95% CI, 0.01–0.78, respectively) using Cox regression analysis adjusted for potential confounders. …”

Table 1_Tetramethylpyrazine and renal ischemia-reperfusion injury: a systematic review and meta-analysis of preclinical studies.docx by Zhongmei Fu (11869694)

Image 1_Practical utility of meropenem therapeutic drug monitoring: a systematic review of evidence for clinical application.pdf by Yi-Chang Zhao (14080107)

“…Adverse reactions showed a non-significant reduction (RR = 0.65; 95% CI: 0.38–1.11). …”

Image 1_Tetramethylpyrazine and renal ischemia-reperfusion injury: a systematic review and meta-analysis of preclinical studies.pdf by Zhongmei Fu (11869694)

Image 2_Practical utility of meropenem therapeutic drug monitoring: a systematic review of evidence for clinical application.pdf by Yi-Chang Zhao (14080107)

“…Adverse reactions showed a non-significant reduction (RR = 0.65; 95% CI: 0.38–1.11). …”