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. …”

Validation of distinct contribution of capsule and hypercapsule-associated HMV in IFA-conferred protection against hvKP infection using a <i>ΔrmpD</i>-K7 mutant. by Tingting Wang (123983)

Increased basophils in blood of calves diagnosed with BRD by Wisconsin health scoring. by Cian Reid (17274007)

Elevated levels of IL-8 protein expression in unstimulated whole blood of BRD diagnosed calves. by Cian Reid (17274007)

Elevated IL-6 response to PAMP stimulated whole blood of calves diagnosed with BRD by TUS. by Cian Reid (17274007)

Representative average structure of MD simulation trajectories during production run for WT and mutant mouse TG models. by Wendy J. Bailey (14926392)

TG protein modeling. by Wendy J. Bailey (14926392)

FGF18 injections increase cartilage thickness, chondrocyte proliferation and induce healing after TMJ experimental degeneration. by Flavia Gomes Velasque Gama (21175112)

FGF18 injections increase chondroprogenitors and extracellular matrix and reduce chondrocyte hypertrophy after TMJ experimental degeneration. by Flavia Gomes Velasque Gama (21175112)

Oligonucleotide primers for gene expression. by Cian Reid (17274007)

“…This hyper-induction of IL-6 was observed most significantly in response to TLR1/2 stimulation in TUS positive calves. …”

Calf health information. by Cian Reid (17274007)

“…This hyper-induction of IL-6 was observed most significantly in response to TLR1/2 stimulation in TUS positive calves. …”

Sequencing analysis confirming the mutation in the smpB gene of <i>Acinetobacter baumannii.</i> by Techit Thavorasak (13138440)

Ranking position of feature importance for each cluster in the post-vaccination period. by Jéssica Villar (21453137)

Ranking position of feature importance for each cluster in the pre-vaccination period. by Jéssica Villar (21453137)

Effects of allopurinol on chronic PG-LPS-induced oxidative stress in cardiac muscle. by Akinaka Morii (12709672)

Effects of allopurinol on cardiac myocyte apoptosis induced by chronic PG-LPS infusion. by Akinaka Morii (12709672)

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

Subjects: