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

Identification of a Novel Virulence Factor in <i>Klebsiella pneumoniae</i> through CpxR-Dependent Transcriptional Activation by 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 by 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 by Zhi-sheng Wang (20981183)

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

Supplementary Material for: The Impact of the Selective Cytopheretic Device on Neutrophil-to-Lymphocyte Ratios and Hematological Parameters in AKI: A Pooled Analysis by figshare admin karger (2628495)

“…SCD treated patients demonstrated a statistically significant reduction in NLR vs. control patients at Day 6 (SCD = 13.3 vs. control = 25.7 at day 6; ptrend = 0.011). …”

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. …”

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. …”

S1 Data - by Sunday O. Ochai (12083153)

“…Anthrax cases in 1990 were concentrated in the central and northern regions of KNP(excluding Pafuri), primarily affected kudus; while subsequent mortalities affected mostly impala and were restricted to the far north, in Pafuri. Significant correlations were found between kudu anthrax mortality and a decrease in NDVI, average temperature, SPI-6 and SPI-12 (Standardised Precipitation Index in various time intervals. …”

Data Sheet 2_Causality of genetically determined glucosamine supplementation on cognition and sarcopenia: a Mendelian randomization study.docx by Yi Kang (387134)

“…Multivariable MR showed that glucosamine continued to have a significant effect on cognitive performance, FIS, ALM, WBFM, usual walking pace, and moderate to vigorous physical activity levels after controlling for osteoarthritis (OA) and body mass index (BMI) (p < 0.05). …”

Data Sheet 1_Causality of genetically determined glucosamine supplementation on cognition and sarcopenia: a Mendelian randomization study.docx by Yi Kang (387134)

“…Multivariable MR showed that glucosamine continued to have a significant effect on cognitive performance, FIS, ALM, WBFM, usual walking pace, and moderate to vigorous physical activity levels after controlling for osteoarthritis (OA) and body mass index (BMI) (p < 0.05). …”

Data Sheet 1_Effect of acupuncture on cognitive impairment induced by sleep deprivation in animal models: a preclinical systematic review and meta-analysis.docx by Chang Liu (35901)

“…Manual acupuncture (MA) influenced apoptosis markers by decreasing Bax and increasing Bcl-2 expression. Despite these positive findings, the studies exhibited heterogeneity in intervention methods and variability in acupuncture techniques.…”

Table 6_Trends in immune cell profiles of osteomyelitis: a clinical study supported by Mendelian randomization analysis.docx by Zemin Liu (224306)

“…Subgroup analysis revealed significantly increased lymphocyte counts and decreased neutrophil counts across all subgroups, except for the mixed infection group. …”

Table 7_Trends in immune cell profiles of osteomyelitis: a clinical study supported by Mendelian randomization analysis.docx by Zemin Liu (224306)

“…Subgroup analysis revealed significantly increased lymphocyte counts and decreased neutrophil counts across all subgroups, except for the mixed infection group. …”

Table 5_Trends in immune cell profiles of osteomyelitis: a clinical study supported by Mendelian randomization analysis.docx by Zemin Liu (224306)

“…Subgroup analysis revealed significantly increased lymphocyte counts and decreased neutrophil counts across all subgroups, except for the mixed infection group. …”

Table 1_Autophagy crosstalk with the immune microenvironment in chronic myeloid leukemia and serves as a biomarker for diagnosis and progression.xlsx by Fangmin Zhong (17415318)

“…The value of autophagy-related genes (ARGs) in diagnosis and treatment evaluation was analyzed and verified by a variety of machine learning algorithms.</p>Results<p>Compared with normal samples, CML samples had significantly lower autophagy scores and more downregulated ARGs. …”

Table 3_Trends in immune cell profiles of osteomyelitis: a clinical study supported by Mendelian randomization analysis.docx by Zemin Liu (224306)

“…Subgroup analysis revealed significantly increased lymphocyte counts and decreased neutrophil counts across all subgroups, except for the mixed infection group. …”