Study design overview. by Juan J. Toscano-Angulo (21238347)

“…During bone regeneration, the operated bone increased significantly the woven ossification whilst the cortical mineral density decreased by 18.7%. …”

LULC proportion from 2040 to 2060. by Muse Wldmchel (20642444)

“…Effective land-use planning and climate-resilient water management practices will be vital to risk management.</p></div>…”

Global sensitive flow parameters [84]. by Muse Wldmchel (20642444)

“…Effective land-use planning and climate-resilient water management practices will be vital to risk management.</p></div>…”

Fungal relative abundance links to FAV-eQTLs and variation in tissue-specific relative gene expression. by Emily P. Van Syoc (22169869)

The effects of CHRM2 knockdown on osteogenic differentiation and cell proliferation. by Cheng Zhong (573294)

Selection flow chart of study participants. by Jiamin Yan (13214770)

“…Among individuals with non-ideal sleep duration, the use of solid fuels for heating (HR: 1.47, 95% CI: 1.09–1.97, P = 0.010) and cooking (HR: 1.31, 95% CI: 1.02–1.68, P value = 0.034) was significantly associated with an increased risk of migraine. …”

Bioclimatic variables used for MaxEnt modeling. by Dong-Joo Kim (1797640)

“…The climate suitability classification (“Sustainable suitability”, “Risk”, “Inflow”, “Lost”, and “Variable” regions) effectively identified areas of sustainability and risk, as well as regions requiring management. …”

Including: S1 Data–S75 Data. by Eliana Nicolaisen-Sobesky (22662692)

“…In this perspective, future studies should further examine the effects of risk/protective factors on different brain regions in order to deepen our understanding of the clinical significance of such increased and decreased CT and GMV.…”

Relating the biophysical forces that govern bacterial adhesion to experimental data. by Mikkel Anbo (15287803)

Effect of overexpressing <i>CEBPB</i> and <i>GFI-1</i> on <i>SOST</i> expression. by Avneesh Chopra (20927514)

S1 Raw data - by Dao-Cheng Zhou (20314697)

“…All-cause and CVD mortality gradually decreased with increasing ideal LE8 metrics. LE8 was not significantly associated with cancer mortality. …”

Analytic framework. by Muayad Albadrani (7495145)

“…</p><p>Results</p><p>Logistic regression analysis revealed a strong negative association where household income increases and indoor air pollution-related mortality significantly decreases. Specifically, Households in the highest income quartile showed a 22% reduction progressively in the odds of mortality risk compared to the lowest income quintile. …”

Descriptive statistics for the whole sample. by Muayad Albadrani (7495145)

“…</p><p>Results</p><p>Logistic regression analysis revealed a strong negative association where household income increases and indoor air pollution-related mortality significantly decreases. Specifically, Households in the highest income quartile showed a 22% reduction progressively in the odds of mortality risk compared to the lowest income quintile. …”

Matched data. by Feng Zhang (6548)

“…The three-variable nomogram shows enhanced predictive performance, serving as a quantitative tool to identify high-risk cases, particularly for patients with malnutrition or pronounced inflammatory status.…”

Nomogram model. by Feng Zhang (6548)

“…The three-variable nomogram shows enhanced predictive performance, serving as a quantitative tool to identify high-risk cases, particularly for patients with malnutrition or pronounced inflammatory status.…”

Flowchart of Study Design and Analysis. by Feng Zhang (6548)

“…The three-variable nomogram shows enhanced predictive performance, serving as a quantitative tool to identify high-risk cases, particularly for patients with malnutrition or pronounced inflammatory status.…”

Multivariate Binary Logistic Regression Analysis. by Feng Zhang (6548)

“…The three-variable nomogram shows enhanced predictive performance, serving as a quantitative tool to identify high-risk cases, particularly for patients with malnutrition or pronounced inflammatory status.…”

ROC curve. by Feng Zhang (6548)

“…The three-variable nomogram shows enhanced predictive performance, serving as a quantitative tool to identify high-risk cases, particularly for patients with malnutrition or pronounced inflammatory status.…”

Unmatched data. by Feng Zhang (6548)

“…The three-variable nomogram shows enhanced predictive performance, serving as a quantitative tool to identify high-risk cases, particularly for patients with malnutrition or pronounced inflammatory status.…”

Calibration curve. by Feng Zhang (6548)

“…The three-variable nomogram shows enhanced predictive performance, serving as a quantitative tool to identify high-risk cases, particularly for patients with malnutrition or pronounced inflammatory status.…”