Data Sheet 1_Efficacy and safety of reduning injection for severe pneumonia: a systematic review and meta-analysis.docx حسب Yan Wang (15435)

"…Objectives<p>Reduning (RDN) injection is a traditional Chinese medicine (TCM) extract injection commonly used as an adjunct therapy for severe pneumonia (SP) in clinical practice in China; however, further validation is required. …"

Data Sheet 1_Dysregulation of melatonin rhythm in Parkinson’s and Huntington’s disease: a systematic review and meta-analysis.docx حسب Reema Priyanka Suram (22399759)

"…In manifest HD, both amplitude [RoM = 0.92, 95% CI (0.81 to 1.02); p = 0.00] and acrophase [RoM = 0.92, 95% CI (0.07 to 1.78); p = 0.03] significantly decreased. PD patients with sleep disorders had significantly higher melatonin concentrations than the non-sleep disorder group, with a significant test group difference of p = 0.00. …"

Baseline characteristics of the study population. حسب 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. …"

Data Sheet 1_Patient engagement in radiation oncology: a large retrospective study of survey response dynamics.docx حسب Bailey A. Loving (20573882)

"…MVA showed that higher socioeconomic disadvantage significantly decreased survey participation (ADI third tertile vs. first tertile OR=0.708, p<0.001), with each unit increase in ADI reducing the odds of completion by 1% (p<0.001). …"

AMP binding free energy calculations and per-residue decomposition of holo and PfIleRS-SANC systems. حسب Curtis Chepsiror (21368103)

Table_3_Effectiveness of written emotional disclosure interventions for eating disorders: a systematic review and meta-analysis.pdf حسب 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 حسب 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 حسب 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 حسب 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. حسب 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. …"

Data Sheet 1_Fatty infiltration and cross-sectional area as indicators of muscle mass in osteoporosis: a meta-regression study.pdf حسب 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. …"

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

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

Identification of a Novel Virulence Factor in <i>Klebsiella pneumoniae</i> through CpxR-Dependent Transcriptional Activation حسب Runze Wang (21792959)

"…Among the genes exhibiting significantly decreased expression upon <i>cpxR</i> deletion<i>, </i>we identified a novel potential virulence factor KPHS_28080. …"

Data Sheet 1_Prophylactic administration of lecithinized superoxide dismutase for a murine model of oxaliplatin-induced myelosuppression.pdf حسب Mikako Shimoda (9519493)

"…Background<p>Oxaliplatin, in combination with 5-fluorouracil and leucovorin, is a standard treatment for colorectal cancer and shows high efficacy. …"

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

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

Overall model framework. حسب 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. حسب 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. حسب 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. حسب 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. …"