Double threshold effect. by Li Yan (107001)

“…Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. …”

Research frame diagram. by Li Yan (107001)

“…Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. …”

Threshold characteristics estimation results. by Li Yan (107001)

“…Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. …”

Regression results based on SDM. by Li Yan (107001)

“…Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. …”

Threshold regression parameter results. by Li Yan (107001)

“…Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. …”

Schematic illustrating mucosal anogenital tissue compartments and the APCs they contain in both steady state and inflammation. by Kevin Hu (3126945)

Moran’s I Index from 2009 to 2020. by Li Yan (107001)

“…Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. …”

Primary cardiac endothelial cells are susceptible and permissive to CHIKV IOL in absence of JAK/STAT signaling. by Sophie N. Spector (20854958)

Proportion of harmonic USVs across test period out of total USVs (A) in the unfamiliar odor cohort and (B) in the familiar odor cohort. by Lauren R. Leuner (20752382)

IL-8: Potential biomarker for identifying TME subtype: by Priyan Bhattacharya (11986545)

“…<p><b>(a-b)</b> Show that with high immune accessibility, the IL-8 level is low and is further reduced following a neo-adjuvant ICI therapy, whereas the scenario with low immune accessibility (characteristic of a fibro-dominated TME) can be identified with a slight increase in the post-ICI IL-8 level. …”

High-Precision Printing Sandwich Flexible Transparent Silver Mesh for Tunable Electromagnetic Interference Shielding Visualization Windows by Qixiang Wang (812506)

“…However, these conventional approaches decrease optical transmittance or increase material consumption, thus compromising the optical performance and economic viability. …”

High-Precision Printing Sandwich Flexible Transparent Silver Mesh for Tunable Electromagnetic Interference Shielding Visualization Windows by Qixiang Wang (812506)

“…However, these conventional approaches decrease optical transmittance or increase material consumption, thus compromising the optical performance and economic viability. …”

Inotodiol inhibits HCC cells migration. by Yushuang Xing (20636685)

“…Animal studies demonstrated that inotodiol possessed the ability to suppress tumor growth in nude mice models, at the same time, there was no significant impact on the body weight and organs of the mice. …”

High-Precision Printing Sandwich Flexible Transparent Silver Mesh for Tunable Electromagnetic Interference Shielding Visualization Windows by Qixiang Wang (812506)

“…However, these conventional approaches decrease optical transmittance or increase material consumption, thus compromising the optical performance and economic viability. …”

Inotodiol triggered apoptosis in HCC cells. by Yushuang Xing (20636685)

“…Animal studies demonstrated that inotodiol possessed the ability to suppress tumor growth in nude mice models, at the same time, there was no significant impact on the body weight and organs of the mice. …”

High-Precision Printing Sandwich Flexible Transparent Silver Mesh for Tunable Electromagnetic Interference Shielding Visualization Windows by Qixiang Wang (812506)

“…However, these conventional approaches decrease optical transmittance or increase material consumption, thus compromising the optical performance and economic viability. …”

Proposed study model of impact factors. by Bui Huy Nhuong (21696569)

“…From a policy perspective, enhancing institutional capacity—especially through targeted training, increased access to subsidized credit, and support for community-based organizations—can significantly strengthen farmers’ adaptive capacities. …”

Socio-economic description of the sample. by Bui Huy Nhuong (21696569)

“…From a policy perspective, enhancing institutional capacity—especially through targeted training, increased access to subsidized credit, and support for community-based organizations—can significantly strengthen farmers’ adaptive capacities. …”

Results of MNL analysis. by Bui Huy Nhuong (21696569)

“…From a policy perspective, enhancing institutional capacity—especially through targeted training, increased access to subsidized credit, and support for community-based organizations—can significantly strengthen farmers’ adaptive capacities. …”

Specifications of sample routes. by Elmira Bagheri (20553110)

“…However, it emitted significantly higher levels of CO and HC. In contrast, the turbocharged vehicle increased CO and HC emissions compared to the naturally aspirated vehicle, but consumed less fuel (approximately 6%) and emitted lower amounts of CO₂ (approximately 19%). …”