Case fatality ratio (%) by year for the 2007–2018 period. by Benjamín Madariaga (18927913)

Shapley Additive Explanations (SHAP) summary plot. by Yue Lv (549862)

Smart spot and smart triage platform. by Rebecca Goertzen (22008461)

“…The inpatient mortality rate decreased from 5.1% in August 2018 to 2.6% in October 2023, with a significant increase in the number of cases with comparable illness severity.…”

HICH patient demographics during QI intervention. by Rebecca Goertzen (22008461)

“…The inpatient mortality rate decreased from 5.1% in August 2018 to 2.6% in October 2023, with a significant increase in the number of cases with comparable illness severity.…”

Fos does not interact with Jun but homodimerizes post axotomy. by Gibarni Mahata (19486154)

Flow chart of research object screening. by Wenyao Xie (21567889)

“…Estradiol exhibited significant non-linear relationship with ALI (P = 0.027), with multiple inflection points suggesting concentration-dependent effects.…”

Data Sheet 1_Metabolic adaptation fluctuates with different prediction equations: a secondary analysis based on a weight-loss clinical trial.docx by Molian Tang (18876955)

“…A small but statistically significant increase in Katch-McArdle-determined aRMR (β: 0.19 kcal/kg; 95%CI: 0.14 kcal/kg, 0.23 kcal/kg; adjusted p-value <0.0001) was confirmed by linear mixed models. …”

Navigation error analysis. by Haichao Li (225035)

“…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”

Summary of related works. by Haichao Li (225035)

“…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”

Research methodology flow diagram. by Haichao Li (225035)

“…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”

Positioning error analysis. by Haichao Li (225035)

“…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”

Error-Bar graph. by Haichao Li (225035)

“…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”

Experimental and Numerical Investigations of Soot Formation in the Laminar to Turbulent Transition of an Acetylene Diffusion Flame by Shijun Chen (835302)

“…Results from different regimes indicate the following: (1) In the laminar state, <i>ṁ</i>_soot increased linearly with <i>Re</i>, with a growth rate positively correlated with the tube diameter. (2) After entering the transitional state, <i>ṁ</i>_soot decreased exponentially by over 95%; <i>T</i> gradually increased by 150 K; and both SPL and the standard deviation of <i>T</i> (σ_<i>T</i>) initially rose and then declined. (3) After entering the fully turbulent state, SPL increased again whereas σ_<i>T</i> stabilized at 14. …”

Differences in magnitude and velocity of decay of the different compartments of the viral reservoir. by Maria C. Puertas (8801768)

“…<p>A. The overall decrease in each fraction of the viral reservoir during the first year after ART initiation is expressed as the ratio of week 48 to baseline values. …”

Table_1_Elevated serum albumin-to-creatinine ratio as a protective factor on clinical outcomes among critically ill patients with sepsis: a retrospective study.DOCX by Zhenkui Hu (11276526)

“…The RCS curve illustrated a non-linear negative correlation between ACR and in-hospital mortality (p for non-linear =0.018), ICU mortality (p for non-linear =0.005), and 30-day mortality (p for non-linear =0.006). …”

Image 1_The advanced lung cancer inflammation index as a predictor of kidney stone risk in men: a cross-sectional analysis.tif by Yan Zhou (6523)

“…The smooth curve analysis showed a non-linear inverse relationship. The protective effect was stronger when ALI scores were low. …”

Image 2_The advanced lung cancer inflammation index as a predictor of kidney stone risk in men: a cross-sectional analysis.tif by Yan Zhou (6523)

“…The smooth curve analysis showed a non-linear inverse relationship. The protective effect was stronger when ALI scores were low. …”

Table 1_The advanced lung cancer inflammation index as a predictor of kidney stone risk in men: a cross-sectional analysis.docx by Yan Zhou (6523)

“…The smooth curve analysis showed a non-linear inverse relationship. The protective effect was stronger when ALI scores were low. …”

Table 1_Age-related lung structure changes by quantitative assessment: a cross-sectional study in a Chinese male cohort.docx by Meijuan Shi (16999551)

“…</p>Conclusion<p>Lung aging is not a linear process, and the lung structural alterations in the upper and lower lobes exhibit significant heterogeneity.…”

Image 4_Serum neuritin as a predictive biomarker of early neurological deterioration and poor prognosis after spontaneous intracerebral hemorrhage: a prospective cohort study.tif by Yanwen Xu (663813)

“…END was defined as a decrease of ≥2 points in the GCS score within 24 h of admission. …”