Have FDI quantity and quality promoted the low-carbon development of science and technology parks (STPs)? The threshold effect of knowledge accumulation.

In recent times, China has emphasized five major development concepts to promote high-quality development: coordination, green, innovation, openness, and sharing. As a metamorphosis of these ideas, Chinese science and technology parks (STPs) are gathering areas of high-tech industries and represent advanced productive forces. Their greenness, openness, and innovative developments herald the future development trends of China. Based on the data of 52 STPs in China from 2011 to 2018, this study analyzes the impact of foreign direct investment (FDI) quantity and quality on the low-carbon development of the STPs. We use Hansen's nonlinear panel threshold regression model with knowledge accumulation as the threshold variable. The results show the following: First, there are complex nonlinear relationships between FDI quantity, FDI quality, and the low-carbon development of the STPs. Second, FDI quantity has a significant positive impact on the low-carbon development of the STPs only when the level of knowledge accumulation is below a certain threshold. Beyond this threshold the effect is no longer significant. Third, FDI quality has a significant positive impact on the low-carbon development of STPs only when the level of knowledge accumulation is lower than a certain threshold; beyond which, the impact is no longer significant. These results can serve as a reference for China to effectively promote economic low-carbon growth of STPs and achieve green, open, and innovative development.

Systematic modifications of amino acid-based organogelators for the investigation of structure-property correlations in drug delivery system.

Thermogels, used as multi-functional drug-loading materials, have properties that mainly rely on their gelator structure. Although a large variety of organogel systems are used as drug delivery carriers, relatively few have been investigated in terms of their structure-property correlations based on amino acid derivative gelators. Here, a series of amino acid based gelators were synthesized to explore the role of the gelator structure on functional properties, with the aim of establishing a connection between the molecular parameters and gel properties. By varying the three substitutions of the gelator backbone, it was found that a comprehensive interaction, consisting of hydrophobic forces, H-bonding interactions, conformational flexibility and steric repulsion, play a crucial role in determining the gelation properties. Hansen solubility parameters were employed to explore the solvent effect on the network forming and gel properties. From an analysis of the morphologies obtained from polarized optical microscope (POM), atomic force microscopic images (AFM) and scanning electron microscopy (SEM), the gelator structure was found to have an impact on the self-assembly. According to the X-ray diffraction (XRD), the possible conformations adopted by the gelators were revealed through molecular modelling. The ability to form intermolecular H-bonding is vital in molecular packing and, thus, gelation. A structure-property relationship was developed and proposed to provide a theoretical basis for controllable drug delivery implants.

Application of Solvent Parameters for Predicting Organogel Formation.

Solvents, accounting the majority of the organogel system, have a tremendous impact on the characteristics of gels. To date, there is a large variety of organogel systems; relatively few have been investigated in the field of structure-solvent correlation. Here, a series of solvent parameters were applied to explore the role of solvent effect on network forming and gel property, intending to build the connection between the precise solvent parameter and gel property. Among the solvent parameters, Kamlet-Taft Parameters and Hansen solubility parameters can distinguish specific types of intermolecular interactions, which could correlate solvent parameter with the gel property. From an analysis of the morphologies obtained from POM and SEM, the gelator structure has an impact on its self-assembly. For possible conformations, the gelators were investigated through XRD. The investigation of solvent-property relationship will provide a theoretical basis for controllable drug delivery implants.