Image 1_Safety assessment of temozolomidee: real-world adverse event analysis from the FAERS database.png by Yu Liu (6938)

“…Renal/metabolic disorders (e.g., hypernatremia) and neurotoxic events (e.g., seizures, ROR 6.19) also demonstrated significant signals.</p>Conclusion<p>This large-scale analysis highlights TMZ’s association with severe hematologic, thromboembolic, and opportunistic infection-related AEs in real-world settings. …”

Table1_Prediction of the potentially suitable areas of Eucommia ulmoides Oliver in China under climate change based on optimized Biomod2 and MaxEnt models.doc by Guoqiong Cao (20220729)

“…<p>Eucommia ulmoides Oliver is a medicinal plant of significant economic importance. …”

Image 1_Application and validation of the machine learning-based multimodal radiomics model for preoperative prediction of lateral lymph node metastasis in papillary thyroid carcin... by Jia-Wei Feng (10754067)

“…Current diagnostic methods show significant limitations, with occult LLNM rates of 41.0%-51.7% requiring secondary surgeries. …”

Data Sheet 1_Deep learning-based image reconstruction benefits diffusion tensor imaging for assessing severity of depression.docx by Yuanyuan Cui (276987)

“…Each patient underwent DTI scans. Two image sets were generated: one with the original DTI (ORI DTI) and one using DLR DTI. …”

Table1_Adverse event signal mining and severe adverse event influencing factor analysis of Lumateperone based on FAERS database.docx by Yanjing Zhang (401134)

“…Background<p>Lumateperone has been approved by the Food and Drug Administration (FDA) for the treatment of schizophrenia in adults since 2019, however, there is still a lack of data report on adverse reactions in real-world settings. …”

Data Sheet 8_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Low-SDI regions experienced 23-fold higher mortality (ASMR: 31.28 per 100,000) than high-SDI regions (ASMR: 1.34 per 100,000), with slower improvement rates (EAPC: -3.41% vs -6.76% in high-middle SDI). A critical epidemiological transition emerged: APMP became predominant in high-income regions (approaching 100% of PMP burden), while HAP dominated in low-SDI settings (ASMR: 26.12 per 100,000). …”

Data Sheet 5_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Low-SDI regions experienced 23-fold higher mortality (ASMR: 31.28 per 100,000) than high-SDI regions (ASMR: 1.34 per 100,000), with slower improvement rates (EAPC: -3.41% vs -6.76% in high-middle SDI). A critical epidemiological transition emerged: APMP became predominant in high-income regions (approaching 100% of PMP burden), while HAP dominated in low-SDI settings (ASMR: 26.12 per 100,000). …”

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

“…Low-SDI regions experienced 23-fold higher mortality (ASMR: 31.28 per 100,000) than high-SDI regions (ASMR: 1.34 per 100,000), with slower improvement rates (EAPC: -3.41% vs -6.76% in high-middle SDI). A critical epidemiological transition emerged: APMP became predominant in high-income regions (approaching 100% of PMP burden), while HAP dominated in low-SDI settings (ASMR: 26.12 per 100,000). …”

Data Sheet 7_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Low-SDI regions experienced 23-fold higher mortality (ASMR: 31.28 per 100,000) than high-SDI regions (ASMR: 1.34 per 100,000), with slower improvement rates (EAPC: -3.41% vs -6.76% in high-middle SDI). A critical epidemiological transition emerged: APMP became predominant in high-income regions (approaching 100% of PMP burden), while HAP dominated in low-SDI settings (ASMR: 26.12 per 100,000). …”

Data Sheet 3_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Low-SDI regions experienced 23-fold higher mortality (ASMR: 31.28 per 100,000) than high-SDI regions (ASMR: 1.34 per 100,000), with slower improvement rates (EAPC: -3.41% vs -6.76% in high-middle SDI). A critical epidemiological transition emerged: APMP became predominant in high-income regions (approaching 100% of PMP burden), while HAP dominated in low-SDI settings (ASMR: 26.12 per 100,000). …”

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)

“…Low-SDI regions experienced 23-fold higher mortality (ASMR: 31.28 per 100,000) than high-SDI regions (ASMR: 1.34 per 100,000), with slower improvement rates (EAPC: -3.41% vs -6.76% in high-middle SDI). A critical epidemiological transition emerged: APMP became predominant in high-income regions (approaching 100% of PMP burden), while HAP dominated in low-SDI settings (ASMR: 26.12 per 100,000). …”

Data Sheet 6_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Low-SDI regions experienced 23-fold higher mortality (ASMR: 31.28 per 100,000) than high-SDI regions (ASMR: 1.34 per 100,000), with slower improvement rates (EAPC: -3.41% vs -6.76% in high-middle SDI). A critical epidemiological transition emerged: APMP became predominant in high-income regions (approaching 100% of PMP burden), while HAP dominated in low-SDI settings (ASMR: 26.12 per 100,000). …”

Data Sheet 2_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Low-SDI regions experienced 23-fold higher mortality (ASMR: 31.28 per 100,000) than high-SDI regions (ASMR: 1.34 per 100,000), with slower improvement rates (EAPC: -3.41% vs -6.76% in high-middle SDI). A critical epidemiological transition emerged: APMP became predominant in high-income regions (approaching 100% of PMP burden), while HAP dominated in low-SDI settings (ASMR: 26.12 per 100,000). …”

Data Sheet 10_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Low-SDI regions experienced 23-fold higher mortality (ASMR: 31.28 per 100,000) than high-SDI regions (ASMR: 1.34 per 100,000), with slower improvement rates (EAPC: -3.41% vs -6.76% in high-middle SDI). A critical epidemiological transition emerged: APMP became predominant in high-income regions (approaching 100% of PMP burden), while HAP dominated in low-SDI settings (ASMR: 26.12 per 100,000). …”

Data Sheet 9_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Low-SDI regions experienced 23-fold higher mortality (ASMR: 31.28 per 100,000) than high-SDI regions (ASMR: 1.34 per 100,000), with slower improvement rates (EAPC: -3.41% vs -6.76% in high-middle SDI). A critical epidemiological transition emerged: APMP became predominant in high-income regions (approaching 100% of PMP burden), while HAP dominated in low-SDI settings (ASMR: 26.12 per 100,000). …”

Data Sheet 4_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Low-SDI regions experienced 23-fold higher mortality (ASMR: 31.28 per 100,000) than high-SDI regions (ASMR: 1.34 per 100,000), with slower improvement rates (EAPC: -3.41% vs -6.76% in high-middle SDI). A critical epidemiological transition emerged: APMP became predominant in high-income regions (approaching 100% of PMP burden), while HAP dominated in low-SDI settings (ASMR: 26.12 per 100,000). …”

Table 1_MIKC-type MADS-box transcription factor OsMADS31 positively regulates salinity tolerance in rice.xlsx by Xiaolin Yin (359202)

“…Phenotypic analysis of T₂-generation OsMADS31 knockout (osmads31) mutants revealed altered panicle morphology and significant reductions in seed-setting rate, panicle length, grain number per panicle, and 1000-grain weight. …”

Data Sheet 1_MIKC-type MADS-box transcription factor OsMADS31 positively regulates salinity tolerance in rice.pdf by Xiaolin Yin (359202)

“…Phenotypic analysis of T₂-generation OsMADS31 knockout (osmads31) mutants revealed altered panicle morphology and significant reductions in seed-setting rate, panicle length, grain number per panicle, and 1000-grain weight. …”

Image 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…In the AF group, the proportions of EF, APF, and LBCs were increased, whereas the proportion of EC was decreased; by contrast, the SR group displayed a higher proportion of EC. …”

Table 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…In the AF group, the proportions of EF, APF, and LBCs were increased, whereas the proportion of EC was decreased; by contrast, the SR group displayed a higher proportion of EC. …”