Image 6_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tif by Minyong Choi (22465405)

“…Furthermore, among the inconsistent blood draw timing and analytical methods, we aimed to suggest the most suitable strategies in the clinical setting.…”

The overall framework of CARAFE. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

KPD-YOLOv7-GD network structure diagram. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Comparison of different pruning rates. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Comparison of experimental results at ablation. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Result of comparison of different lightweight. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

DyHead Structure. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

The parameters of the training phase. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Structure of GSConv network. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Improved model distillation structure. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Supplementary file 1_Clinical utility of the PBAC score in quantifying treatment response to hysteroscopy: a retrospective observational study.docx by Ömer Faruk Öz (22702202)

“…Data were analyzed using SPSS version 26, and p < 0.05 was considered statistically significant.</p>Results<p>Of the 327 patients included in the study, 91.1% had a baseline PBAC score ≥100, which significantly decreased following hysteroscopy (mean reduction: 393 points; p < .001). …”

Table 1_Impact of leukemia subtype and demographics on patient quality of life in 76 countries: a cross-sectional study.docx by Sam Salek (5800727)

“…Background<p>Disease-specific factors associated with decreased quality of life (QoL) in patients with leukemia have not been studied in a large-scale, global, observational study.…”

Data Sheet 1_Utilizing a naturopathic mouthwash with selective antimicrobial effects against multispecies oral biofilms for prevention of dysbiosis.docx by Danyal A. Siddiqui (1459219)

“…Lastly, cytocompatibility to oral rinses was tested using a 3D human fibroblast spheroid model.</p>Results<p>SL significantly inhibited the growth of disease-associated F. nucleatum and P. gingivalis 12 and 120 h, respectively, after treatment, while exhibiting lower toxicity toward commensal S. oralis, S. gordonii, and V. parvula vs. …”

Table 1_Mitochondrial oxygen metabolism as a potential predictor of weight loss after laparoscopic sleeve gastrectomy for class III obesity.xlsx by Markus Engelmann (20516393)

“…They showed a significant weight loss and a decrease in relative fat mass after six months. …”

Polygenic adaptation analysis results for the pairwise and multi-population tests for polygenic adaptation (see Methods). by Olivia A. Gray (20700832)

“…The SNP no. column shows how many SNPS are included in the test at this significance threshold. Significant <i>p</i>-values are highlighted in green (figures for all significant Multi-population tests in <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1011570#pgen.1011570.s006" target="_blank">S6 Fig</a>). …”

Data Sheet 1_Hyperbaric oxygen therapy for radiation enteritis and clinical parameters: a systematic review and meta-analysis.docx by Yuhan Wang (595964)

“…</p>Results<p>This study analyzed data from 22 clinical studies involving 1,318 subjects, including six RCTs incorporated into a meta-analysis. Moderate-quality evidence suggested that HBOT could significantly reduce the incidence of RE [OR = 0.32, 95% CI (0.14, 0.72), P = 0.006], particularly showing a significant advantage in decreasing the incidence of grade 3 or higher RE according to the RTOG/EORTC criteria [OR = 0.37, 95% CI (0.17, 0.82), P = 0.01]. …”

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

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

Supplementary file 1_The efficacy of resveratrol in the treatment of liver fibrosis: a systematic review and meta-analysis of preclinical studies.docx by Dehua Luo (22275916)

“…</p>Results<p>Resveratrol markedly attenuated collagen deposition and reduced hydroxyproline levels, a central marker of fibrotic progression. It significantly inhibited the accumulation of extracellular matrix components and modulated profibrotic mediators. …”