Image 5_NET-EN treatment leads to delayed HSV-2 infection, enhanced mucin and T cell functions in the female genital tract when compared to DMPA in a preclinical mouse model.tiff by M. Firoz Mian (10013314)

“…CD4+ T cells isolated from VT showed no significant change in frequency with either contraceptive. …”

Image 4_NET-EN treatment leads to delayed HSV-2 infection, enhanced mucin and T cell functions in the female genital tract when compared to DMPA in a preclinical mouse model.tiff by M. Firoz Mian (10013314)

“…CD4+ T cells isolated from VT showed no significant change in frequency with either contraceptive. …”

Data Sheet 1_How low can you go? Antibiotic use in Swedish dogs with gastroenteritis.pdf by Ditte Ljungquist (20446670)

“…The yearly level of antibiotic use in CGE declined from 8.1% in 2020 to 3.9% in 2023, with a statistically significant annual percentage change (APC) of −21.3% (95% CI, −22.8 to −19.7). …”

Table 1_Decadal trends and regional disparities in tuberculosis burden: a comprehensive analysis of global, African, and Southeast Asian data from the GBD 1990–2021.docx by Shiwei Xie (3617159)

“…The annual percentage change (APC) was calculated to assess the significance of temporal trends.…”

Table 1_Effect of cholecalciferol on immune and vascular function in non-diabetic chronic kidney disease.docx by Kajal Kamboj (12769602)

“…A significant increase in mRNA expression of vitamin D-responsive genes (cathelicidin, IL-10, VDR, and CYP27B1) was observed. …”

Data Sheet 3_How low can you go? Antibiotic use in Swedish dogs with gastroenteritis.pdf by Ditte Ljungquist (20446670)

“…The yearly level of antibiotic use in CGE declined from 8.1% in 2020 to 3.9% in 2023, with a statistically significant annual percentage change (APC) of −21.3% (95% CI, −22.8 to −19.7). …”

Data Sheet 2_How low can you go? Antibiotic use in Swedish dogs with gastroenteritis.pdf by Ditte Ljungquist (20446670)

“…The yearly level of antibiotic use in CGE declined from 8.1% in 2020 to 3.9% in 2023, with a statistically significant annual percentage change (APC) of −21.3% (95% CI, −22.8 to −19.7). …”

Image 1_NET-EN treatment leads to delayed HSV-2 infection, enhanced mucin and T cell functions in the female genital tract when compared to DMPA in a preclinical mouse model.tiff by M. Firoz Mian (10013314)

“…CD4+ T cells isolated from VT showed no significant change in frequency with either contraceptive. …”

Data Sheet 1_Treatment with pemafibrate ameliorates fatty liver index and atherogenic lipid profiles in Japanese patients with type 2 diabetes mellitus.pdf by Toru Suzuki (512729)

“…There was no significant change in hemoglobin A1c level over time. …”

Table1_Body composition and perceived stress levels in transgender individuals after one year of gender affirming hormone therapy.docx by Chiara Ceolin (19553155)

“…PSS and PHQ scores, initially higher in TGD individuals, did not change significantly after one year of GAHT. A significant correlation was found between body fat percentage and PHQ and PSS scores at baseline and one year after GAHT, respectively.…”

Table 1_A population-based study of social demographic factors, associated diseases, and herpes zoster ophthalmicus in Taiwan.docx by Chia-Yi Lee (2037286)

DataSheet1_Network meta-analysis of integrated traditional Chinese and Western medicine in the treatment of Sjogren’s syndrome.pdf by Xieli Ma (20153298)

Low-speed Rear-end Collisions: Kinematic and Clinical Responses (Video, MRI findings, EMG/NCS results) by Hee Young Lee (22195417)

“…Kinematic parameters—including velocity change (ΔV), peak acceleration, and neck injury criteria (NIC)—were recorded. …”

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. …”

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. …”

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. …”