Table 5_Evaluation of cold tolerance in sorghum germplasm from the Chishui River Basin in China: insights from germination, field trials, and physiological assays.doc by Hongli Yang (170838)

“…The superior cold tolerance of accessions Nos. 2, 12, and 22 was confirmed through membership function analysis (D-value > 0.6). A significant positive correlation between comprehensive cold tolerance ratings at both the germination and field stages was observed (r = 0.687, P < 0.05). …”

Table 6_Evaluation of cold tolerance in sorghum germplasm from the Chishui River Basin in China: insights from germination, field trials, and physiological assays.doc by Hongli Yang (170838)

“…The superior cold tolerance of accessions Nos. 2, 12, and 22 was confirmed through membership function analysis (D-value > 0.6). A significant positive correlation between comprehensive cold tolerance ratings at both the germination and field stages was observed (r = 0.687, P < 0.05). …”

Supplementary Material for: Impact of antibiotic therapy in patients with cholangiocarcinoma treated with chemoimmunotherapy by figshare admin karger (2628495)

Table 1_Comparative microbiome analysis of paired mucosal and fecal samples in Korean colorectal cancer patients.docx by Younggwang Kim (21562529)

“…Background<p>Colorectal cancer (CRC) is increasingly linked to gut microbiome dysbiosis. However, few studies have examined tumor-associated microbial dynamics in Korean CRC patients using both mucosal and fecal samples.…”

Image 1_Comparative microbiome analysis of paired mucosal and fecal samples in Korean colorectal cancer patients.tif by Younggwang Kim (21562529)

“…Background<p>Colorectal cancer (CRC) is increasingly linked to gut microbiome dysbiosis. However, few studies have examined tumor-associated microbial dynamics in Korean CRC patients using both mucosal and fecal samples.…”

Image 4_Comparative microbiome analysis of paired mucosal and fecal samples in Korean colorectal cancer patients.tif by Younggwang Kim (21562529)

“…Background<p>Colorectal cancer (CRC) is increasingly linked to gut microbiome dysbiosis. However, few studies have examined tumor-associated microbial dynamics in Korean CRC patients using both mucosal and fecal samples.…”

Image 3_Comparative microbiome analysis of paired mucosal and fecal samples in Korean colorectal cancer patients.tif by Younggwang Kim (21562529)

“…Background<p>Colorectal cancer (CRC) is increasingly linked to gut microbiome dysbiosis. However, few studies have examined tumor-associated microbial dynamics in Korean CRC patients using both mucosal and fecal samples.…”

Image 2_Comparative microbiome analysis of paired mucosal and fecal samples in Korean colorectal cancer patients.tif by Younggwang Kim (21562529)

“…Background<p>Colorectal cancer (CRC) is increasingly linked to gut microbiome dysbiosis. However, few studies have examined tumor-associated microbial dynamics in Korean CRC patients using both mucosal and fecal samples.…”

Table 2_Comparative microbiome analysis of paired mucosal and fecal samples in Korean colorectal cancer patients.docx by Younggwang Kim (21562529)

“…Background<p>Colorectal cancer (CRC) is increasingly linked to gut microbiome dysbiosis. However, few studies have examined tumor-associated microbial dynamics in Korean CRC patients using both mucosal and fecal samples.…”

Table 3_Comparative microbiome analysis of paired mucosal and fecal samples in Korean colorectal cancer patients.docx by Younggwang Kim (21562529)

“…Background<p>Colorectal cancer (CRC) is increasingly linked to gut microbiome dysbiosis. However, few studies have examined tumor-associated microbial dynamics in Korean CRC patients using both mucosal and fecal samples.…”

Table 4_Comparative microbiome analysis of paired mucosal and fecal samples in Korean colorectal cancer patients.docx by Younggwang Kim (21562529)

“…Background<p>Colorectal cancer (CRC) is increasingly linked to gut microbiome dysbiosis. However, few studies have examined tumor-associated microbial dynamics in Korean CRC patients using both mucosal and fecal samples.…”

Health Risks of Low-Dose Dietary Exposure to Triphenyl Phosphate and Diphenyl Phosphate in Mice: Insights from the Gut–Liver Axis by Jing Cao (287196)

“…TPHP intake affected the levels of short-chain fatty acids and bile acids in the gut, enhancing the production of 29 medium- and long-chain fatty acids in the liver by 3.72-fold and significantly increasing hepatic lipid and cholesterol levels. …”

Point Application Therapy Targeting Feishu, Pishu and Shenshu Attenuates Asthma by Suppressing Autophagy and the AMPK-mTOR Signalling Pathway by Yutong Jin (2873837)

“…The treatment additionally decreased expression levels of mTOR, LC3, NF-κB and TGF-β1 while increasing AMPK content. …”

Data Sheet 1_Comparison between 75-g and 100-g oral glucose tolerance tests using international association of diabetes and pregnancy study group one-step diagnostic threshold to d... by Li-Li Zhou (1710085)

“…However, from fasting to 2h, the 100g group showed a steeper rise than the 75g group [Difference in slope (95% CI):0.412 (0.244 to 0.580), p<0.05], and a slower decline between 1-2h [Difference in slope (95% CI):0.047 (0.010 to 0.084), p<0.05].Glucose-adjusted continuous analysis showed that blood glucose levels were mostly associated with adverse outcomes, with the strength of association gradually decreasing from fasting to 1h and 2h. …”

Applications of Human Biostasis in Crewed Space Exploration by Josh Universe (21186797)

“…<p dir="ltr">Applications of Human Biostasis for Crewed Space Exploration is a presentation by Josh Universe, the Founder of the International Biohacking Community and Transhumanist Council, a science communicator, and a scientist-astronaut candidate. …”

Full name and abbreviation. by Yuanqiang Lv (20623742)

“…</p><p>Results and conclusion</p><p>The results indicated that oxidative stress and immune response factor expressions quantity in Gallus gallus decreased significantly after 14 days of treatment, compared with model group, the low-dose treatment group’s SOD1, SOD3, GPX1, GPX2, GSR, H6DP, and HO-1 genes in liver were downregulated by 36.03%, 40.01%, 45.86%, 40.79%, 37.68%, 25.04%, and 29.89%, the IL-1, IL-2, IL-4, IL-6, IgA, IgM, and IgG genes in blood and spleen were downregulated by 26.59%, 34.19%, 21.19%, 28.18%, 35.93%, 12.67%, 21.81 and 35.93%, 22.85%, 21.19%, 28.78%, 35.93%, 15.36%, 29.73%. …”

The animal experimental protocol. by Yuanqiang Lv (20623742)

“…</p><p>Results and conclusion</p><p>The results indicated that oxidative stress and immune response factor expressions quantity in Gallus gallus decreased significantly after 14 days of treatment, compared with model group, the low-dose treatment group’s SOD1, SOD3, GPX1, GPX2, GSR, H6DP, and HO-1 genes in liver were downregulated by 36.03%, 40.01%, 45.86%, 40.79%, 37.68%, 25.04%, and 29.89%, the IL-1, IL-2, IL-4, IL-6, IgA, IgM, and IgG genes in blood and spleen were downregulated by 26.59%, 34.19%, 21.19%, 28.18%, 35.93%, 12.67%, 21.81 and 35.93%, 22.85%, 21.19%, 28.78%, 35.93%, 15.36%, 29.73%. …”

Supplementary Material for: The impact of left ventricular structure and function on mortality in patients with aortic valve infective endocarditis treated with aortic valve replac... by figshare admin karger (2628495)

“…The mean LVEF was 54±11% preoperatively, decreasing to 51±11% postoperatively. The mean baseline LVEDd was 5.8±0.9 cm in males and 5.0±0.9 cm in females (p<0.001), decreasing to 5.2±0.9 cm in males and 4.7±0.6 cm in females after surgery (p=0.006). …”

Improved estimation of soil organic carbon stock in subtropical cropland of Southern China based on digital soil mapping and multi-sources data by Bifeng Hu (3778951)

“…Additionally, the mean value of SOCD significantly decreased from 3.23 in the 1980s to 2.95 kg m⁻² in the 2010s. …”

Supplementary file 1_Comparative analysis of accuracy and completeness in standardized database generation for complex multilingual lung cancer pathological reports: large language... by Hao Hang (7037264)

“…Background<p>This study evaluates how AI enhances EHR efficiency by comparing a lung cancer-specific LLM with general-purpose models (DeepSeek, GPT-3.5) and clinicians across expertise levels, assessing accuracy and completeness in complex lung cancer pathology documentation and task load changes pre−/post-AI implementation.…”