Supplementary file 1_Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm.pdf by Sanglin Zhao (20915732)

“…The results show that: (1) From 2000 to 2035, China’s total carbon emissions increased year by year, but the growth rate of carbon emissions gradually decreased; The carbon emission structure is “secondary industry > residents’ life > tertiary industry > primary industry”, and the growth rate of carbon in secondary industry and residents’ life is faster, while the change trend of primary industry and tertiary industry is smaller; (2) The spatial distribution of carbon emissions in China’s provinces presents a typical pattern of “eastern > central > western” and “northern > southern”, and the carbon emission centers tend to move to the northwest; (3) The regions with high level of digital economy, advanced industrial structure and new quality productivity have relatively less carbon emissions, which has significant group difference effect; (4) The intensity effect of energy consumption is the main factor driving the continuous growth of carbon emissions, while the per capita GDP and the structure effect of energy consumption are the main factors restraining carbon emissions, while the effects of industrial structure and population size are relatively small. …”

Data Sheet 1_Association of cardiorespiratory fitness with phenotypic age in younger population: a study based on the NHANES database.pdf by Yi Shen (152956)

“…</p>Results<p>In the multivariable logistical regression analysis, maintenance of CRF was significantly and inversely associated with PAA, demonstrating a decreased risk of 42% in the high CRF group [OR (95% CI): 0.58 (0.36, 0.96), p = 0.033]. …”

Table 2_Association of cardiorespiratory fitness with phenotypic age in younger population: a study based on the NHANES database.docx by Yi Shen (152956)

“…</p>Results<p>In the multivariable logistical regression analysis, maintenance of CRF was significantly and inversely associated with PAA, demonstrating a decreased risk of 42% in the high CRF group [OR (95% CI): 0.58 (0.36, 0.96), p = 0.033]. …”

Supplementary Material for: The value of diffusion kurtosis imaging to assess liver and kidney recovery after mesenchymal stem cell intervention in CCl4-induced cirrhotic rats by Qin J. (5120975)

“…Results: Compared to baseline, there was a significant increase in liver fibers and kidney HE scores by week 12. …”

<b>Precursor and Mature miRNA Sequences from the Hepatopancreas of Macrobrachium rosenbergii under Low-Temperature Stress</b> by jinlin gong (21467675)

“…This cooling process continued until all experimental individuals succumbed to the cold stress.…”

Table 1_Trends in the burden of chronic diseases attributable to diet-related risk factors from 1990 to 2021 and the global projections through 2030: a population-based study.docx by Huan Ma (713125)

“…In cardiovascular diseases, the leading dietary factors are low-grain diets, whereas in diabetes, it is due to increased intake of processed meat. In low-SDI regions, diets low in vegetables showed the strongest association with neoplasm-related mortality, while diets low in fruits were significantly linked to CVD and diabetes burden. …”

Table 1_Association of cardiorespiratory fitness with phenotypic age in younger population: a study based on the NHANES database.docx by Yi Shen (152956)

“…</p>Results<p>In the multivariable logistical regression analysis, maintenance of CRF was significantly and inversely associated with PAA, demonstrating a decreased risk of 42% in the high CRF group [OR (95% CI): 0.58 (0.36, 0.96), p = 0.033]. …”

Table 1_Influence of indigenous non-Saccharomyces yeast strains on the physicochemical and sensory properties of wine fermentation: a promising approach to enhancing wine quality.d... by Sathivel Thivijan (20393742)

“…Incorporating H. uvarum into mixed starter cultures with specific Saccharomyces strains could further optimize the wine fermentation process.</p>…”

Data Sheet 2_Association of cardiorespiratory fitness with phenotypic age in younger population: a study based on the NHANES database.pdf by Yi Shen (152956)

“…</p>Results<p>In the multivariable logistical regression analysis, maintenance of CRF was significantly and inversely associated with PAA, demonstrating a decreased risk of 42% in the high CRF group [OR (95% CI): 0.58 (0.36, 0.96), p = 0.033]. …”

Data Sheet 1_A novel bivariate nomogram for predicting sequela vaginal lesions after surgery in patients with HPV-associated cervical cancer.docx by Yueheng Liu (9228588)

“…The annual incidence of vaginal lesions decreased gradually from 6.97% in the first year (Y1) to 2.96% at year 5 (Y5). …”

Research framework. by Wanzhuang Huang (17357306)

“…<div><p>Identification of the process and intrinsic mechanisms of land use conflicts is a prerequisite for adjusting optimal national spatial planning strategies. …”

Table 6_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx by Lin-Feng Wang (10944843)

“…TFP peaks at 1.157 (increased by 15.7%) in 2019 and declines to 0.978 (decreased by 2.2%) from 2020 to 2021 due to global economic slowdowns. …”

Table 7_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx by Lin-Feng Wang (10944843)

“…TFP peaks at 1.157 (increased by 15.7%) in 2019 and declines to 0.978 (decreased by 2.2%) from 2020 to 2021 due to global economic slowdowns. …”

Data Sheet 1_Association of cardiovascular health with COPD (NHANES 2007-2020): mediating potential of lean body mass.docx by Ruoyu Gou (11835929)

“…</p>Results<p>In Model 2, the results showed that for every 10-point change in the lc9 score, the odds of developing COPD decreased. …”

Table 5_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx by Lin-Feng Wang (10944843)

“…TFP peaks at 1.157 (increased by 15.7%) in 2019 and declines to 0.978 (decreased by 2.2%) from 2020 to 2021 due to global economic slowdowns. …”

Table 3_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx by Lin-Feng Wang (10944843)

“…TFP peaks at 1.157 (increased by 15.7%) in 2019 and declines to 0.978 (decreased by 2.2%) from 2020 to 2021 due to global economic slowdowns. …”

Table 4_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx by Lin-Feng Wang (10944843)

“…TFP peaks at 1.157 (increased by 15.7%) in 2019 and declines to 0.978 (decreased by 2.2%) from 2020 to 2021 due to global economic slowdowns. …”

Table 2_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx by Lin-Feng Wang (10944843)

“…TFP peaks at 1.157 (increased by 15.7%) in 2019 and declines to 0.978 (decreased by 2.2%) from 2020 to 2021 due to global economic slowdowns. …”

Table 1_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx by Lin-Feng Wang (10944843)

“…TFP peaks at 1.157 (increased by 15.7%) in 2019 and declines to 0.978 (decreased by 2.2%) from 2020 to 2021 due to global economic slowdowns. …”

Data Sheet 1_An analysis of the global burden of childhood and adolescent asthma attributable to high BMI: 1990–2021.pdf by Xinhui Zhang (1624039)

“…Statistical analysis showed a significant correlation between SDI and asthma burden (P < 0.001), with the overall disease burden increasing as SDI rose. …”