Table 3_Global burden, trends and health inequalities of stroke attributable to household air pollution, 1990–2021: a decomposition and prediction analysis.docx by Xiaoqing Xia (14607269)

“…</p>Methods<p>Data on HAP-attributable stroke disability-adjusted life years (DALYs) and deaths from 1990 to 2021 at global, regional, and national levels were derived from the Global Burden of Disease (GBD) 2021. …”

Table 1_Global burden, trends and health inequalities of stroke attributable to household air pollution, 1990–2021: a decomposition and prediction analysis.docx by Xiaoqing Xia (14607269)

“…</p>Methods<p>Data on HAP-attributable stroke disability-adjusted life years (DALYs) and deaths from 1990 to 2021 at global, regional, and national levels were derived from the Global Burden of Disease (GBD) 2021. …”

Image 3_Global burden, trends and health inequalities of stroke attributable to household air pollution, 1990–2021: a decomposition and prediction analysis.tiff by Xiaoqing Xia (14607269)

“…</p>Methods<p>Data on HAP-attributable stroke disability-adjusted life years (DALYs) and deaths from 1990 to 2021 at global, regional, and national levels were derived from the Global Burden of Disease (GBD) 2021. …”

Image 1_Global burden, trends and health inequalities of stroke attributable to household air pollution, 1990–2021: a decomposition and prediction analysis.tiff by Xiaoqing Xia (14607269)

“…</p>Methods<p>Data on HAP-attributable stroke disability-adjusted life years (DALYs) and deaths from 1990 to 2021 at global, regional, and national levels were derived from the Global Burden of Disease (GBD) 2021. …”

Table 2_Global burden, trends and health inequalities of stroke attributable to household air pollution, 1990–2021: a decomposition and prediction analysis.docx by Xiaoqing Xia (14607269)

“…</p>Methods<p>Data on HAP-attributable stroke disability-adjusted life years (DALYs) and deaths from 1990 to 2021 at global, regional, and national levels were derived from the Global Burden of Disease (GBD) 2021. …”

Image 4_Global burden, trends and health inequalities of stroke attributable to household air pollution, 1990–2021: a decomposition and prediction analysis.tiff by Xiaoqing Xia (14607269)

“…</p>Methods<p>Data on HAP-attributable stroke disability-adjusted life years (DALYs) and deaths from 1990 to 2021 at global, regional, and national levels were derived from the Global Burden of Disease (GBD) 2021. …”

Table 5_Global burden, trends and health inequalities of stroke attributable to household air pollution, 1990–2021: a decomposition and prediction analysis.docx by Xiaoqing Xia (14607269)

“…</p>Methods<p>Data on HAP-attributable stroke disability-adjusted life years (DALYs) and deaths from 1990 to 2021 at global, regional, and national levels were derived from the Global Burden of Disease (GBD) 2021. …”

Table 6_Global burden, trends and health inequalities of stroke attributable to household air pollution, 1990–2021: a decomposition and prediction analysis.docx by Xiaoqing Xia (14607269)

“…</p>Methods<p>Data on HAP-attributable stroke disability-adjusted life years (DALYs) and deaths from 1990 to 2021 at global, regional, and national levels were derived from the Global Burden of Disease (GBD) 2021. …”

Table 1_Association of serum iron with all-cause mortality and cardiovascular mortality in the cardiovascular patients: a retrospective cohort study based on the NHANES 1999–2018.d... by Jing Lu (120666)

“…Background<p>Cardiovascular disease (CVD) is one of the leading global causes of death, and serum iron (SI) levels may be associated with the mortality of CVD. …”

Table 1_Individual-network based predictions of microbial interaction signatures for response to biological therapies in IBD patients.xlsx by Federico Melograna (12202905)

“…Our analysis revealed that ISNs characterised by core gut microbial families, including Lachnospiraceae and Ruminococcaceae, are predictive of treatment responses. We identified significant changes in abundance levels of specific bacterial genera in response to treatment, confirming the robustness of ISNs in capturing both linear and non-linear microbiota signals. …”

Data Sheet 1_Individual-network based predictions of microbial interaction signatures for response to biological therapies in IBD patients.docx by Federico Melograna (12202905)

“…Our analysis revealed that ISNs characterised by core gut microbial families, including Lachnospiraceae and Ruminococcaceae, are predictive of treatment responses. We identified significant changes in abundance levels of specific bacterial genera in response to treatment, confirming the robustness of ISNs in capturing both linear and non-linear microbiota signals. …”

Table 2_Individual-network based predictions of microbial interaction signatures for response to biological therapies in IBD patients.xlsx by Federico Melograna (12202905)

“…Our analysis revealed that ISNs characterised by core gut microbial families, including Lachnospiraceae and Ruminococcaceae, are predictive of treatment responses. We identified significant changes in abundance levels of specific bacterial genera in response to treatment, confirming the robustness of ISNs in capturing both linear and non-linear microbiota signals. …”

Table 8_Individual-network based predictions of microbial interaction signatures for response to biological therapies in IBD patients.xlsx by Federico Melograna (12202905)

“…Our analysis revealed that ISNs characterised by core gut microbial families, including Lachnospiraceae and Ruminococcaceae, are predictive of treatment responses. We identified significant changes in abundance levels of specific bacterial genera in response to treatment, confirming the robustness of ISNs in capturing both linear and non-linear microbiota signals. …”

Table 5_Individual-network based predictions of microbial interaction signatures for response to biological therapies in IBD patients.xlsx by Federico Melograna (12202905)

“…Our analysis revealed that ISNs characterised by core gut microbial families, including Lachnospiraceae and Ruminococcaceae, are predictive of treatment responses. We identified significant changes in abundance levels of specific bacterial genera in response to treatment, confirming the robustness of ISNs in capturing both linear and non-linear microbiota signals. …”

Table 7_Individual-network based predictions of microbial interaction signatures for response to biological therapies in IBD patients.xlsx by Federico Melograna (12202905)

“…Our analysis revealed that ISNs characterised by core gut microbial families, including Lachnospiraceae and Ruminococcaceae, are predictive of treatment responses. We identified significant changes in abundance levels of specific bacterial genera in response to treatment, confirming the robustness of ISNs in capturing both linear and non-linear microbiota signals. …”

Table 3_Individual-network based predictions of microbial interaction signatures for response to biological therapies in IBD patients.xlsx by Federico Melograna (12202905)

“…Our analysis revealed that ISNs characterised by core gut microbial families, including Lachnospiraceae and Ruminococcaceae, are predictive of treatment responses. We identified significant changes in abundance levels of specific bacterial genera in response to treatment, confirming the robustness of ISNs in capturing both linear and non-linear microbiota signals. …”

Table 6_Individual-network based predictions of microbial interaction signatures for response to biological therapies in IBD patients.xlsx by Federico Melograna (12202905)

“…Our analysis revealed that ISNs characterised by core gut microbial families, including Lachnospiraceae and Ruminococcaceae, are predictive of treatment responses. We identified significant changes in abundance levels of specific bacterial genera in response to treatment, confirming the robustness of ISNs in capturing both linear and non-linear microbiota signals. …”

Table 4_Individual-network based predictions of microbial interaction signatures for response to biological therapies in IBD patients.xlsx by Federico Melograna (12202905)

“…Our analysis revealed that ISNs characterised by core gut microbial families, including Lachnospiraceae and Ruminococcaceae, are predictive of treatment responses. We identified significant changes in abundance levels of specific bacterial genera in response to treatment, confirming the robustness of ISNs in capturing both linear and non-linear microbiota signals. …”

Data Sheet 1_Hyaluronic acid synthase 2 dysfunction exacerbates elastase-induced neutrophilic airway inflammation and emphysema in mice.docx by Kengo Nishino (22424926)

“…<p>Chronic obstructive pulmonary disease (COPD) is a progressive inflammatory lung disorder primarily caused by prolonged exposure to harmful substances, such as cigarette smoke. …”

Data Sheet 1_Impact of hypertension on coronary artery plaques and FFR-CT in type 2 diabetes mellitus patients: evaluation utilizing artificial intelligence processed coronary comp... by Yan Xi (6556)

“…HRPs were associated with HbA1c levels (OR = 1.631, 95% CI = 1.387–1.918).</p>Conclusion<p>AI analysis of CCTA identifies patterns in quantitative plaque characteristics and FFR-CT values. …”