Table1_Evaluation of thyroid function tests among children with neurological disorders.docx by Haojie Meng (20400383)

Data Sheet 1_Long-term oncologic outcomes and prognostic factors related to recurrences in pathologic Stage I/II early oral tongue cancer.docx by Jin Hye Kwak (21398306)

“…Objectives<p>This study aimed to evaluate long-term treatment outcomes and identify prognostic factors affecting survival and recurrence of Stage I/II tongue cancer, with a specific emphasis on early recurrence.…”

Characteristics of the participants. by Kensaku Sasayama (741571)

“…<div><p>This study is the first in Japan to prospectively examine the relationship between walking to and from school and physical activity in primary school children. A total of 76 participants completed baseline and follow-up assessments, and their mean age was 9.6 ±  1.0 years at baseline and 10.6 ±  1.0 years at follow-up. …”

Image 1_Benign regulation of short-chain fatty acids: the underlying mechanism of the beneficial effects of manual acupuncture on cognitive ability and the intestinal mucosal barri... by Ning Ding (456674)

“…</p>Results<p>Compared with those in the C57BL/6 control (Cc) group, cognitive ability was significantly decreased, SCFAs and FFAR3 expression were obviously decreased, intestinal barrier integrity was drastically impaired, and the expression of NF-κB and the levels of intestinal IL-1β and TNF-α were increased in the APP/PS1 control (Ac) group. …”

Table 1_Benign regulation of short-chain fatty acids: the underlying mechanism of the beneficial effects of manual acupuncture on cognitive ability and the intestinal mucosal barri... by Ning Ding (456674)

“…</p>Results<p>Compared with those in the C57BL/6 control (Cc) group, cognitive ability was significantly decreased, SCFAs and FFAR3 expression were obviously decreased, intestinal barrier integrity was drastically impaired, and the expression of NF-κB and the levels of intestinal IL-1β and TNF-α were increased in the APP/PS1 control (Ac) group. …”

DataSheet1_Biomarkers of response to ocrelizumab in relapsing–remitting multiple sclerosis.pdf by Fernando Rodríguez-Jorge (17279800)

“…However, the decrease occurred earlier in NEDA-3 patients. Accordingly, sNfL > 1.5 z-score 3 months after ocrelizumab initiation indicated a higher risk of inflammation (OR = 13.6; p < 0.0001). …”

DataSheet1_Biomarkers of response to ocrelizumab in relapsing–remitting multiple sclerosis.pdf by Fernando Rodríguez-Jorge (17279800)

“…However, the decrease occurred earlier in NEDA-3 patients. Accordingly, sNfL > 1.5 z-score 3 months after ocrelizumab initiation indicated a higher risk of inflammation (OR = 13.6; p < 0.0001). …”

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. …”

Table 1_Gypenoside XLIX inhibiting PI3K/AKT/FOXO1 signaling pathway mediated neuronal mitochondrial autophagy to improve patients with ischemic stroke.docx by Yonglei Liu (5485793)

“…Signaling pathway involvement was examined using PI3K inhibitor LY294002, AKT activator SC79, and FOXO1 knockdown.</p>Results<p>Gypenoside XLIX significantly improved neuronal viability (p < 0.01), reduced apoptosis (p < 0.01), and decreased ROS levels (p < 0.001) in OGD cells. …”

Table1_Physiological characteristics and transcriptomic analyses of alfalfa root crown in wintering.docx by Xiaolong Wang (20235)

“…Among them, 463 DEGs showed an increase in expression, whereas 415 DEGs showed a decrease in expression. The metabolic pathways’ examination presented that the DEGs (MsERF1, MsCHIB, MsJAZ, MsAOC, MsGST, MsINV, MsTPS, and MsOAT) were linked to the pathways of “plant hormone signaling transduction”, “Amino sugar and nucleotide sugar metabolism”, and “glutathione metabolism”. …”

Supplementary file 1_Pedunculoside targets P2X7R to protect against myocarditis by regulating the NLRP3/PIP2/MAPK signaling pathway.docx by Youqiong Zhuo (10361585)

Supplemental information to: Female mice with HSD17B1 inactivation show mild hyperandrogenism without notable impact on reproductive function or bone by Arttu Junnila (22503041)

“…Our results demonstrate that the blockade of HSD17B1-dependent E2 synthesis is successfully compensated for in mouse<i> in vivo</i>, resulting in only a mild ovarian estrogen and androgen imbalance, but no significant adverse effects on reproductive or bone health.…”

Data Sheet 1_Analysis between Helicobacter pylori infection and hepatobiliary diseases.docx by Zhenjun Yu (8205228)

“…Compared to the non-infection group, patients in the infection group exhibited a significant decrease in albumin levels and a notable increase in total cholesterol and erythrocyte sedimentation rate levels. …”

The efficacy of topical 8% capsaicin patches for the treatment of postsurgical neuropathic pain: a systematic review by Brandon Goodwin (20328988)

“…The random-effects pooled-analysis denotes an overall Cohen’s d of 1.09 (95% CI: 0.58–1.56; <i>p</i> < 0.001). All studies that investigated neuropathic pain area denote a decrease in pain size, with some denoting a continued reduction with subsequent application.…”

Table 1_Role of miR-144-5p in modulating lipid metabolism and potentially alleviating obesity via the PGC-1α/AMPK pathway.docx by Siriguleng Yu (14555900)

“…Introduction<p>MiR-144-5p is differentially expressed in plasma exosomes from Bactrian camels of varying body sizes, with GO and KEGG analyses indicating that its target genes play crucial roles in lipid metabolism. PGC-1α, confirmed as a key target through RNA pull-down and dual-luciferase reporter assays, is a significant regulator of this process. …”

Table 2_Role of miR-144-5p in modulating lipid metabolism and potentially alleviating obesity via the PGC-1α/AMPK pathway.xlsx by Siriguleng Yu (14555900)

“…Introduction<p>MiR-144-5p is differentially expressed in plasma exosomes from Bactrian camels of varying body sizes, with GO and KEGG analyses indicating that its target genes play crucial roles in lipid metabolism. PGC-1α, confirmed as a key target through RNA pull-down and dual-luciferase reporter assays, is a significant regulator of this process. …”