Descriptive statistics of variables. حسب 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. …"

Direct, indirect and total effects. حسب 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. …"

Double threshold effect. حسب 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. حسب 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. حسب 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. حسب 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. حسب 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. …"

Datasets. حسب Jerry Yakubu Yahaya (21696163)

"…Conversely, the absence of caregiver support significantly increased the likelihood of MDR-TB by 80% (OR = 1.8, 95% CI 1.04–3.11, <i>p </i>= 0.036). …"

Data analysis results. حسب Min Zhang (111999)

"…<div><p>Increasingly frequent disruptions from diseases, disasters, and human activities pose a significant challenge to the resilience of the agri-food supply chain (AFSCRE). …"

Triangular fuzzy number. حسب Min Zhang (111999)

"…<div><p>Increasingly frequent disruptions from diseases, disasters, and human activities pose a significant challenge to the resilience of the agri-food supply chain (AFSCRE). …"

Influencing factors system of the AFSCRE. حسب Min Zhang (111999)

"…<div><p>Increasingly frequent disruptions from diseases, disasters, and human activities pose a significant challenge to the resilience of the agri-food supply chain (AFSCRE). …"

Moran’s I Index from 2009 to 2020. حسب 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. …"

List of primers used for RT-qPCR experiments. حسب Katherine Marougka (13015146)

"…We showed that BST2 silencing resulted in a significant rise in viral production during multi-cycle infection, suggesting an inhibitory role during the late steps of RSV’s multiplication cycle. …"

Analysis results. We conducted five analyses—the entire sample, then four split-sample groups that comprised only the low- and high-scoring participants for connectedness to nature... حسب Rachelle K. Gould (9761743)

Fecal microbiota transplantation alters the diversity and composition of the cecal microbiota. حسب Fuyu Shi (22446195)

Information on miR-335-3p mimic and inhibitor. حسب Dong-Hee Han (140305)

"…Our findings demonstrated that TGF-β1 exposure to respiratory epithelial cells led to a decrease in miR-335-3p expression, resulting in the upregulation of THBS1 and ultimately exacerbating fibrosis. …"

Working model for TMEM163⁺ primary afferents mediating age-associated itch. حسب Fang Tong (484200)

"…However, in aged mice or under dry skin condition, the expression of TMEM163⁺ significantly increases, leading to elevated accumulation of Zn²⁺ in the central terminal of TMEM163^<i>+</i> primary afferents. …"

ET-induced cytotoxicity and cellular ATP depletion to multiple cell lines. حسب Jie Liu (15128)

Fecal microbiota transplantation alters metabolic phenotypes of urea nitrogen recycling. حسب Fuyu Shi (22446195)

Limitations in Determining Oxidation States in Condensed Matter at the Subnanometric Scale حسب Deborah Perco (21540648)

"…Understanding and defining the elemental oxidation state of solid materials at the atomic level becomes increasingly complex as their physical dimensions are reduced from tens of nanometerswhere properties are still dominated by bulk or outer atomic crystal plane characteristics, to the subnanometric limit. …"