Cellular migration in LECs of βA3ΔG91 vs. WT mice using the scratch and transwell assays. by Akosua K. Boateng (21672931)

Conceptual framework to guide the study. by Resham B. Khatri (10949429)

“…</p><p>Conclusions</p><p>Marginalized women experience lower uptake of routine maternity care visits and higher discontinuation along the antenatal through to ponstantal period, creating significant equity gaps in Nepal. The increasing trend of deliveries in private HFs, particularly deliveries by elective CS without maternity incentives could lead to financial hardship while seeking routine maternal health care. …”

Raw Gel. by Techit Thavorasak (13138440)

“…Addressing this knowledge gap is essential for evaluating SmpB as a potential antimicrobial target and developing new strategies to combat multidrug-resistant infections.…”

Effect of Molecular Structure on the B3LYP-Computed HOMO–LUMO Gap: A Structure −Property Relationship Using Atomic Signatures by Ahmed Mohamed (628889)

“…The use of atomic Signatures as molecular descriptors successfully inferred correlations between different structural motifs and <i>E</i>_gap. The atomic fragments containing π-bonds in various aromatic compounds were found to be the most significant atomic Signatures, explaining nearly 50% of the variance in the data, with regression coefficients that decreased <i>E</i>_gap. …”

S1 File - by Michael Gulledge (20577135)

“…Despite the prevalence and severity of sleep disturbances during opioid withdrawal, there is a gap in our understanding of their interactions. …”

SHAP dependence plots with interaction coloring. by Wentao Yang (205781)

“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”

Screening process diagram. by Wentao Yang (205781)

“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”

SHAP waterfall plot. by Wentao Yang (205781)

“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”

SHAP decision plot. by Wentao Yang (205781)

“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”

LASSO regression visualization plot. by Wentao Yang (205781)

“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”

SHAP dependence plots. by Wentao Yang (205781)

“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”

Tertile stratified subgroup analysis. by Wentao Yang (205781)

“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”

High-Precision Surface Tension Measurements of Sodium, Potassium, and Their Alloys via Du Noüy Ring Tensiometry by Naiyu Qi (21155536)

“…The development of post-lithium-ion batteries has sparked significant interest in alkali-metal anodes, particularly sodium (Na), potassium (K), and sodium–potassium (Na–K) alloys. …”

Minimal data set. by Ikuo Mikoshiba (9312007)

“…Results indicated that both the DFAT and DFAT + bFGF groups exhibited significantly reduced glottic gaps, increased collagen deposition, and decreased TUNEL-positive apoptotic cells compared to controls. …”

Absolute β convergence results. by Ke Liu (121889)

“…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …”

Conditional β convergence results. by Ke Liu (121889)

“…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …”

Markov transition probability matrix (k = 4). by Ke Liu (121889)

“…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …”

Markov transition probability matrix (k = 4). by Ke Liu (121889)

“…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …”

Regression results. by Ke Liu (121889)

“…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …”

Diagnostic criteria for Alcoholic cardiomyopathy. by Fei Yan (128878)

“…</p><p><b>Results:</b> Globally, ACM burden showed significant declines from 1990 to 2021, with age-standardized rates decreasing by 22.5-37.1% across prevalence, mortality and disability measures. …”