ST2+ KLRG-1+ Tregs from <i>T</i>. <i>cruzi</i> infected mice exhibit a phenotype compatible with <i>bona fide</i> trTregs. by Santiago Boccardo (5927954)

An exemplary case one year after open wedge high tibial osteotomy (OWHTO) for right knee osteoarthritis. by Yusuke Fuchioka (22806178)

Descriptive statistics. by Katarzyna Markiewicz (20489903)

“…It includes absenteeism, decreased motivation and academic performance, and a cynical attitude toward peers and teachers. …”

Mediation results confirmed by Sobel test. by Katarzyna Markiewicz (20489903)

“…It includes absenteeism, decreased motivation and academic performance, and a cynical attitude toward peers and teachers. …”

Mediation analysis. by Katarzyna Markiewicz (20489903)

“…It includes absenteeism, decreased motivation and academic performance, and a cynical attitude toward peers and teachers. …”

Quantification of cartilage thickness in all cases. by Yusuke Fuchioka (22806178)

Flow diagram of patient selection for the study. by Yusuke Fuchioka (22806178)

Femoral trochlear 3D-MRI before and after OWHTO in all cases. by Yusuke Fuchioka (22806178)

Patellar 3D-MRI before and after OWHTO in all cases. by Yusuke Fuchioka (22806178)

Detailed analysis of the patellofemoral interactions after OWHTO in Knee 01. by Yusuke Fuchioka (22806178)

Fuchioka dataset 251021. by Yusuke Fuchioka (22806178)

“…Trochlear and patellar cartilage thicknesses were measured from 3D-MRI images at both time points. Changes exceeding 0.1 mm (the validated measurement precision threshold) were considered significant. …”

Regression results of the Callaway method. by Pu Miao (12886949)

“…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”

Regression results of crowding out effects. by Pu Miao (12886949)

“…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”

Article data. by Pu Miao (12886949)

“…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”

Overidentification test results. by Pu Miao (12886949)

“…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”

Quantile regression results. by Pu Miao (12886949)

“…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”

Instrumental variable regression results. by Pu Miao (12886949)

“…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”

Other robust regression results. by Pu Miao (12886949)

“…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”

Baseline regression results. by Pu Miao (12886949)

“…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”

Results of propensity score matching. by Pu Miao (12886949)

“…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”