SEM images of cobalt-based catalysts supported on Al₂O₃ at different magnifications. by Ning Zuo (17295415)

Baseline analysis, nominal factors. by Hiroaki Yoshikawa (4615801)

“…</p><p>Results</p><p>Our analysis revealed a significantly older age of onset in the 2018 cohort compared to 2006. …”

Minimal dataset for the study. by Hiroaki Yoshikawa (4615801)

“…</p><p>Results</p><p>Our analysis revealed a significantly older age of onset in the 2018 cohort compared to 2006. …”

Baseline analysis, continuous factors. by Hiroaki Yoshikawa (4615801)

“…</p><p>Results</p><p>Our analysis revealed a significantly older age of onset in the 2018 cohort compared to 2006. …”

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. …”

Multivariable analysis between 2006 and 2018. by Hiroaki Yoshikawa (4615801)

“…</p><p>Results</p><p>Our analysis revealed a significantly older age of onset in the 2018 cohort compared to 2006. …”

MRI grading systems’ diagnostic accuracy for MD. by Neda Azarpey (20308334)

“…Adjusting the threshold to EH grade 2 results in a sensitivity increase to 92.1% (CI: 85.9–95.7) and a specificity decrease to 70.6% (CI: 64.5–76.1), with a DOR of 28.056 (CI: 14.917–52.770). …”

MRI-based cochlear hydrops grading and PLE in MD. by Neda Azarpey (20308334)

“…Adjusting the threshold to EH grade 2 results in a sensitivity increase to 92.1% (CI: 85.9–95.7) and a specificity decrease to 70.6% (CI: 64.5–76.1), with a DOR of 28.056 (CI: 14.917–52.770). …”

Cochlear hydrops classification in MRI systems. by Neda Azarpey (20308334)

“…Adjusting the threshold to EH grade 2 results in a sensitivity increase to 92.1% (CI: 85.9–95.7) and a specificity decrease to 70.6% (CI: 64.5–76.1), with a DOR of 28.056 (CI: 14.917–52.770). …”

<i>In vivo</i> PK evaluation of WT BMP9 in naïve SD rats. by Tobias G. Schips (21799838)

Hemodynamic effects of WT BMP9 in rats. by Tobias G. Schips (21799838)

Characterization of systolic pulmonary arterial pressure (sPAP) of WT BMP9 in rats. by Tobias G. Schips (21799838)

Tissue-specific expression of splice variants diversifying the LR2 region of Calcineurin A/TAX-6 in <i>C. elegans.</i> by Martina Rudgalvyte (22320301)

Evaluation of chronic <i>in vivo</i> efficacy in 21 days rat MCT model in prevention mode. by Tobias G. Schips (21799838)

The polar transformation process of glaucomatous fundus images consists of the following: by Sirikorn Sangchocanonta (20917797)

Characterization of safety pharmacology of WT BMP9 in rats. by Tobias G. Schips (21799838)