Video 3_Characterizing the structural properties and porosity of mid-urethral slings with varied manufacturing techniques.mov by Katrina Knight (17391604)

“…The porosity of all MUSs significantly decreased with loading (p-values < 0.001); except for ArcTV with the stabilizing suture which showed the least amount of deformation (i.e., percent change in porosity decreasing by only 14%, p < 0.001, at 10 N).…”

Video 5_Characterizing the structural properties and porosity of mid-urethral slings with varied manufacturing techniques.mov by Katrina Knight (17391604)

“…The porosity of all MUSs significantly decreased with loading (p-values < 0.001); except for ArcTV with the stabilizing suture which showed the least amount of deformation (i.e., percent change in porosity decreasing by only 14%, p < 0.001, at 10 N).…”

Video 4_Characterizing the structural properties and porosity of mid-urethral slings with varied manufacturing techniques.mov by Katrina Knight (17391604)

“…The porosity of all MUSs significantly decreased with loading (p-values < 0.001); except for ArcTV with the stabilizing suture which showed the least amount of deformation (i.e., percent change in porosity decreasing by only 14%, p < 0.001, at 10 N).…”

Data Sheet 1_Characterizing the structural properties and porosity of mid-urethral slings with varied manufacturing techniques.docx by Katrina Knight (17391604)

“…The porosity of all MUSs significantly decreased with loading (p-values < 0.001); except for ArcTV with the stabilizing suture which showed the least amount of deformation (i.e., percent change in porosity decreasing by only 14%, p < 0.001, at 10 N).…”

Table 1_Spontaneous neural activity alterations in medication-naïve primary blepharospasm: a resting-state functional magnetic resonance imaging study.docx by Hua-Liang Li (20812799)

“…</p>Results<p>Compared to healthy controls, medication-naïve patients with BSP exhibited significantly increased ALFF in the bilateral putamen and left premotor cortex and decreased ALFF in the bilateral thalamus (p < 0.05, threshold-free cluster enhancement with family-wise error correction for multiple comparisons). …”

Sustainable soil and organic matter managements for reducing straw burning, greenhouse gas production and emission, and their influencing factors in Northwest India by Iori Sahara (21245399)

“…We found CO₂ emission as dominant among three gases in the field experiment, although this included root respiration, and were not significantly changed by biochar application, compared to the control (chemical fertilizer application only). …”

Supplementary Material for: High expression of tetraspanin CD63 predicts poor prognosis in esophageal squamous cell carcinoma by Matsumoto Y. (2866151)

“…CD63, a tetraspanin protein and well-known exosomal marker, is implicated in cancer progression; however, the significance of CD63 expression in ESCC remains unclear. …”

Minimal test data set by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

OSNet network structure. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

YOLOv8 overall framework. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

The performance of YOFGD model on MOT16. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

Table 1_Targeting nail psoriasis: IL-17A inhibitors demonstrate site-specific superiority over IL-23 inhibitor in a 24-week dermoscopy-guided real-world cohort.docx by Xiamei Yan (21014921)

“…</p>Results<p>(1) By week 24, PASI, BSA, DLQI and NAPSI scores had significantly decreased from baseline in all groups (P<0.001). (2) By week 24: SEC, IXE, and GUS groups saw nail matrix NAPSI score improvements of 65.9%, 60.5%, and 51.5%, with 68%, 55%, and 30% achieving NAPSI 60; Nail bed NAPSI score improvements were 58.8%, 68.6%, and 65.8%, with 28%, 65%, and 40% achieving NAPSI 60; Total NAPSI score improvements were 62.7%, 64.6%, and 53.7%, with 44%, 70%, and 30% achieving NAPSI 60. (3) All patients in the SEC and IXE groups achieved PASI 75, compared to 85% in the GUS group. …”

Network structure of OSA. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

The performance of S-YOFEO model on MOT17. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

Five multi-target tracking evaluation indexes. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

Algorithm flowchart of OFEO. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

Data Sheet 2_Effect of thyme-ivy syrup on antiviral immune response in patients with mild COVID-19: a prospective, open-label, randomized pilot study.docx by Stephanie Dauth (13274397)

“…Significant between-group differences were observed for changes in some parameters at day 4 (e.g., IL-10) and day 14. …”

Partial tracking results of MOT17 dataset. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

Improved detection layer. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

The performance of S-YOFEO model on MOT16. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”