Sequences of PCR primers. by Joo-Hoo Park (5702822)

“…The expression of MMP-12 was significantly increased in CRSwNP and M2-like THP-1 cells. …”

S1 Raw data - by Joo-Hoo Park (5702822)

“…The expression of MMP-12 was significantly increased in CRSwNP and M2-like THP-1 cells. …”

Sequential viral infections in adult mice beginning at 8 weeks of age stimulates a subset of immune phenotypes. by Yuhao Li (1559569)

Sequential viral exposure shapes immune cell profiles in tissues. by Yuhao Li (1559569)

Sequential viral exposure shapes immune cell profiles in mucosal tissues. by Yuhao Li (1559569)

Sequential viral infection modulates the intestinal bacterial microbiome. by Yuhao Li (1559569)

Sequential viral exposure creates an inflammatory host environment. by Yuhao Li (1559569)

PBMC T cell subsets vary between mock- and sequentially-infected mice. by Yuhao Li (1559569)

Sequential viral infection is associated with reduced antibody response to intramuscular and intranasal ChAd-SARS-CoV-2 vaccination. by Yuhao Li (1559569)

Sequential infection does not alter relative proportions of white blood cells. by Yuhao Li (1559569)

Sequentially infected mice have altered circulating immune cell compositions. by Yuhao Li (1559569)

Fluorescence Imaging of Neuroblastocyte Differentiation and Parkinson’s Brain Tissue Lesions Examined by a Norepinephrine-Activated Molecular Probe by Huming Yan (9917374)

“…Compared to the previously developed probe <i><b>SXU-NEQ</b></i>, the self-fluorescence intensity of probe <i><b>DQF</b></i> decreased significantly (I<i>_<b>DQF</b></i>/I<i>_{<b>SXU‑NEQ</b>}</i> = 35%). …”

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. …”