Primary data. by Andrey V. Cybulsky (4007012)

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Overview of the parameters used in the model. by Albertus Constantijn Sloof (20405090)

“…Scenario and sensitivity analyses confirm that even with lower vaccination coverage rates, significant benefits are observed: at 10% coverage, the number of infections drops to 115,231, and at 20% coverage, it further reduces to 76,031. …”

Mortality rates per lifecycle stage [28]. by Albertus Constantijn Sloof (20405090)

“…Scenario and sensitivity analyses confirm that even with lower vaccination coverage rates, significant benefits are observed: at 10% coverage, the number of infections drops to 115,231, and at 20% coverage, it further reduces to 76,031. …”

Pathology and morphology of cell injury in co-cultures or monocultures 3 days after exposure to S1 protein or LPS. by Yanru Liu (1662463)

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The study design and timeline for culture treatment. by Yanru Liu (1662463)

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Effects of cell culture patterns on injury and inflammation induced by the S1 protein. by Yanru Liu (1662463)

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Effects of S1 protein and exposure duration on co-cultures of HPAEpics and AMs. by Yanru Liu (1662463)

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Raw data and statistical analysis used in Figs 2 and 4. by Yanru Liu (1662463)

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Table 1_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.xlsx by Erman Wu (19021269)

“…Background<p>Particulate matter pollution (PMP) remains a leading risk factor for lower respiratory infections (LRIs) globally. However, the evolving contributions of household air pollution (HAP) versus ambient particulate matter pollution (APMP) across different development stages remain poorly characterized, hindering targeted intervention strategies.…”

Patient enrollment and inclusion information. by Ruitian Song (11045127)

“…MRI exams under anesthesia exhibited significantly lower PVS than those without anesthesia. …”

Stepped wedge cluster randomized trial design. by Antonio Marty Quispe (12574259)

“…Peridomestic mosquito counts, BPN, and BPH did not differ significantly between renovated and non-renovated households. …”

DataSheet1_Kidney outcomes associated with SGLT2 inhibitors compared to other glucose-lowering drugs: a real-world study from China.pdf by Xiang Xiao (44417)

“…Throughout the follow-up period, we observed a significant decrease in the rate of eGFR decline in patients using SGLT2i (4.94 mL/min/1.73 m² per year reduction compared to oGLDs, 95% CI: 4.73–5.15). …”

Sample characteristics using MICS 2012 and 2019. by Satyajit Kundu (9078709)

“…Regression analysis showed that lower education of household head and mothers, older children, lower wealth status of households, unimproved sanitation facilities, and being urban residents were significant predictors of childhood stunting. …”

Tuning the Upper Critical Solution Temperature of the Polystyrene-Terpineol System toward a Low-Temperature Membrane Formation by Sulaiman Dhameri (22048528)

“…The study found that the hydrogen bond propensity and miscibility of the additives significantly affected the UCST. A change of over 35 °C was observed when the additive concentration varied from 0 to 15 wt %, and the transition temperature increased or decreased depending on the additive solvent strength. …”

S1 Data - by Guoqing Meng (4669774)

“…Compared to the placebo (PLA) group, mice treated with M07 exhibited significantly lower levels of OVA-specific IgE and IgG1 (<i>P</i> < 0.01). …”

Differential counts of leukocytes in mouse BALF. by Guoqing Meng (4669774)

“…Compared to the placebo (PLA) group, mice treated with M07 exhibited significantly lower levels of OVA-specific IgE and IgG1 (<i>P</i> < 0.01). …”

Raw data. by Saeedeh Abbasi (9423189)

“…However, both groups exhibited a significant decrease in CCI during prolonged standing (time *  condition: p =  0.003). …”

Data. by Saeedeh Abbasi (9423189)

“…However, both groups exhibited a significant decrease in CCI during prolonged standing (time *  condition: p =  0.003). …”

Changes in body weight and glycolipid metabolism in different groups. by Shujuan Hu (22656045)

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Morphological changes of skeletal muscle, fat and liver in each group. by Shujuan Hu (22656045)

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