Data Sheet 2_Unilateral biportal endoscopic transforaminal lumbar interbody fusion versus minimally invasive transforaminal lumbar interbody fusion for single-level lumbar spondylo... by Yu Zhang (12946)

“…Compared with MIS-TLIF, ULIF demonstrated significantly reduced intraoperative blood loss [WMD = −35.71, 95% CI (−51.80, −19.63), p < 0.01], fewer intraoperative fluoroscopy times [WMD = −1.29, 95% CI (−2.56, −0.02), p < 0.05], lower postoperative drainage volume [WMD = −20.64, 95% CI (−37.13, −4.15), p = 0.01], shorter postoperative ambulation time [WMD = −0.30, 95% CI (−0.42, −0.17), p < 0.01], and decreased hospital stay duration [WMD = −1.50, 95% CI (−2.09, −0.90), p < 0.01]. …”

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. …”

Data Sheet 4_Unilateral biportal endoscopic transforaminal lumbar interbody fusion versus minimally invasive transforaminal lumbar interbody fusion for single-level lumbar spondylo... by Yu Zhang (12946)

“…Compared with MIS-TLIF, ULIF demonstrated significantly reduced intraoperative blood loss [WMD = −35.71, 95% CI (−51.80, −19.63), p < 0.01], fewer intraoperative fluoroscopy times [WMD = −1.29, 95% CI (−2.56, −0.02), p < 0.05], lower postoperative drainage volume [WMD = −20.64, 95% CI (−37.13, −4.15), p = 0.01], shorter postoperative ambulation time [WMD = −0.30, 95% CI (−0.42, −0.17), p < 0.01], and decreased hospital stay duration [WMD = −1.50, 95% CI (−2.09, −0.90), p < 0.01]. …”

Data Sheet 3_Unilateral biportal endoscopic transforaminal lumbar interbody fusion versus minimally invasive transforaminal lumbar interbody fusion for single-level lumbar spondylo... by Yu Zhang (12946)

“…Compared with MIS-TLIF, ULIF demonstrated significantly reduced intraoperative blood loss [WMD = −35.71, 95% CI (−51.80, −19.63), p < 0.01], fewer intraoperative fluoroscopy times [WMD = −1.29, 95% CI (−2.56, −0.02), p < 0.05], lower postoperative drainage volume [WMD = −20.64, 95% CI (−37.13, −4.15), p = 0.01], shorter postoperative ambulation time [WMD = −0.30, 95% CI (−0.42, −0.17), p < 0.01], and decreased hospital stay duration [WMD = −1.50, 95% CI (−2.09, −0.90), p < 0.01]. …”

Supplementary file 2_Efficacy and safety of the commercial Chinese polyherbal preparation Liu Shen Wan as an adjunctive treatment for herpes zoster and postherpetic neuralgia: a sy... by Yajing Li (1394572)

“…</p>Results<p>A total of 21 RCTs (n = 1,478) were included. Meta-analysis demonstrated that LSW plus conventional treatment significantly outperformed conventional treatment alone in shortening vesicle cessation time [MD = −1.44, 95% CI (−1.66, −0.93), p < 0.00001, I² = 70%], accelerating scab formation (MD = −1.72, 95% CI (−2.09, −1.35), p < 0.00001, I² = 38%), reducing scab shedding time (MD = −2.22, 95% CI (−3.64, −0.80), p = 0.002, I² = 36%), decreasing time to pain resolution (MD = −2.46, 95% CI (−3.52, −1.39), p < 0.00001, I² = 0%), and shortening pain persistence duration (MD = −1.97, 95% CI (−2.49, −1.46), p < 0.00001, I² = 86%). …”

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. …”

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. …”

Data Sheet 2_Cellular effects of splenectomy on liver regeneration after 70% resection.pdf by Andrey Elchaninov (3122742)

“…The highest number of TUNEL+ cells was detected 1 day after liver resection, while the number of apoptotic cells in animals with prior splenectomy was significantly lower compared to animals with preserved spleen. …”

Genetic and structural factors contributing to the dominance and persistence of goose astrovirus type 2 by Peng Jiang (16544)

“…The spike protein of GoAstV-2 demonstrated significantly lower variability than GoAstV-1, as shown by Shannon entropy analysis, indicating greater structural stability. …”

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. …”

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. …”

The matching process of EIOU. 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. …”

Image 2_Continuous watermelon cropping impairs plant growth by modifying soil biochemistry and rhizosphere microbial communities.tif by HuiFang Lv (22222615)

“…The population of FON and Fusarium wilt incidence increased significantly after continuous cropping (p < 0.05). High-throughput sequencing analysis revealed that the richness and diversity of soil bacterial and fungal communities significantly decreased (p < 0.05). …”