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. …”

Parallel trend test. 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. …”

Placebo test. 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. …”

Descriptive statistics of variables. 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. …”

<i>Shroom3</i> is expressed throughout the mouse myocardium during cardiogenesis. by Jennifer L. Carleton (22208916)

Raw data. by Yin Jie (21464235)

“…In conclusion, this study revealed that 1’,4’-<i>trans</i>-diol-ABA may perform a significant function in increasing crop salt-stress tolerance.…”

<i>Shroom3</i> is expressed in the postnatal mouse heart. by Jennifer L. Carleton (22208916)

DSP: Digital Spatial Profiling. by Jinho Lee (587173)

“…<div><p>Many patients undergoing gender-affirming surgery (GAS) opt for reconstructive procedures rather than total mastectomy to achieve a more masculine chest contour. The impact of dihydrotestosterone (DHT) treatment on breast tissue remains unclear. …”

Embryonic <i>Shroom3</i>^{<i>Gt</i>/<i>Gt</i>} hearts show abnormal semilunar valves. by Jennifer L. Carleton (22208916)

Myocardial <i>Shroom3</i> loss during development does not show abnormal semilunar valves. by Jennifer L. Carleton (22208916)

Myocardial <i>Shroom3</i> loss during development does not show ventricular septal defects. by Jennifer L. Carleton (22208916)

Serum hormone levels in WT, HET and HOM animals. by Wendy J. Bailey (14926392)

Data set. by Belachew Tekleyohannes Wogayehu (19470257)

“…Even though hairdressing is a significant source of wealth, it is linked to several kinds of medical problems mainly skin conditions. …”

Embryonic <i>Shroom3</i>^{<i>Gt</i>/<i>Gt</i>} hearts show left ventricular thinning. by Jennifer L. Carleton (22208916)

Additional images of <i>Nkx2–5-Cre;Shroom3</i>^<i>fl/fl</i> neonate semilunar valve morphologies. by Jennifer L. Carleton (22208916)

<i>Shroom3</i> myocardial specific loss does not alter postnatal cardiac morphology. by Jennifer L. Carleton (22208916)

Influencing factors of APCA. by Wenping Ning (19871091)

“…</p><p>Conclusions</p><p>1) Temporally, APCA shows a trend of slow growth, ups and downs. Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. …”

Temporal trends in APCA. by Wenping Ning (19871091)

“…</p><p>Conclusions</p><p>1) Temporally, APCA shows a trend of slow growth, ups and downs. Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. …”

Traditional Markov transfer probability matrices. by Wenping Ning (19871091)

“…</p><p>Conclusions</p><p>1) Temporally, APCA shows a trend of slow growth, ups and downs. Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. …”

Spatial Markov transfer probability matrix. by Wenping Ning (19871091)

“…</p><p>Conclusions</p><p>1) Temporally, APCA shows a trend of slow growth, ups and downs. Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. …”