When a Generalized Linear Model Meets Bayesian Maximum Entropy: A Novel Spatiotemporal Ground-Level Ozone Concentration Retrieval Method

In China, ground-level ozone has shown an increasing trend and has become a serious ambient pollutant. An accurate spatiotemporal distribution of ground-level ozone concentrations (GOCs) is urgently needed. Generalized linear models (GLMs) and Bayesian maximum entropy (BME) models are practical for predicting GOCs. However, GLMs have limited capacity to capture temporal variations and can miss some short-term and regional patterns, while the performance of BME models may degrade in cases of sparse or imperfect monitoring networks. Thus, to predict nationwide 1 km monthly average GOCs for China, we designed a novel hybrid model containing three modules. (1) A GLM was established to accurately describe the variability in GOCs in the space domain. (2) A BME model incorporating GLM residuals was employed to capture the temporal variability of GOCs in detail. (3) A combination of GLM and BME models was developed based on the specific broad range of each submodel. According to the cross-validation results, the hybrid model exhibited superior performance, with coefficient of determination (R2) values of 0.67. The predictive performance of the large-scale and high-resolution hybrid model is superior to that in previous studies. The nationwide spatiotemporal variability of the GOCs derived from the hybrid model shows that they are valuable indicators for ground-level ozone pollution control and prevention in China

How OFDI Promotes High-Technology Multinationals’ Innovation: From the Perspective of a Cross-Border Business Model

High-quality innovation in cross-border business models is the focus of innovative development. However, some enterprises are blindly obsessed with focusing on the quantity of innovation, while they neglect the quality of innovation. As a result, the quantity of innovation in cross-border business models is not proportional to the quality, and cross-border business models need continuous improvement. High-quality innovation in cross-border business models is also related to outward foreign direct investment (OFDI) and knowledge absorptive capacity. The purpose of this study is to explore the relationship between OFDI and innovation quality in cross-border business models. This study proposes that knowledge absorptive capacity plays a mediating transmission role between OFDI and innovation quality. Based on panel data for 478 Chinese high-tech multinational enterprises in the period from 2014 to 2019, the paper uses moderated path analysis to construct a non-linear mediated transmission model of knowledge absorptive capacity in terms of the OFDI and innovation quality of high-tech enterprises. The results show that there is an inverted U-shaped relationship between OFDI and innovation quality. Knowledge absorptive capacity plays an inverted U-shaped mediating role in the transmission between OFDI and innovation quality. In a post hoc analysis, it was found that a low degree of OFDI has an inverted U-shaped relationship with innovation quality, and a high degree of OFDI negatively inhibits innovation quality. Therefore, Chinese high-tech enterprises operating cross-border must maintain an appropriate level of OFDI by improving the matching mechanism between OFDI and knowledge absorptive capacity, which is conducive to improving the innovation quality of multinational enterprises in host countries

How OFDI Promotes High-Technology Multinationals’ Innovation: From the Perspective of a Cross-Border Business Model

High-quality innovation in cross-border business models is the focus of innovative development. However, some enterprises are blindly obsessed with focusing on the quantity of innovation, while they neglect the quality of innovation. As a result, the quantity of innovation in cross-border business models is not proportional to the quality, and cross-border business models need continuous improvement. High-quality innovation in cross-border business models is also related to outward foreign direct investment (OFDI) and knowledge absorptive capacity. The purpose of this study is to explore the relationship between OFDI and innovation quality in cross-border business models. This study proposes that knowledge absorptive capacity plays a mediating transmission role between OFDI and innovation quality. Based on panel data for 478 Chinese high-tech multinational enterprises in the period from 2014 to 2019, the paper uses moderated path analysis to construct a non-linear mediated transmission model of knowledge absorptive capacity in terms of the OFDI and innovation quality of high-tech enterprises. The results show that there is an inverted U-shaped relationship between OFDI and innovation quality. Knowledge absorptive capacity plays an inverted U-shaped mediating role in the transmission between OFDI and innovation quality. In a post hoc analysis, it was found that a low degree of OFDI has an inverted U-shaped relationship with innovation quality, and a high degree of OFDI negatively inhibits innovation quality. Therefore, Chinese high-tech enterprises operating cross-border must maintain an appropriate level of OFDI by improving the matching mechanism between OFDI and knowledge absorptive capacity, which is conducive to improving the innovation quality of multinational enterprises in host countries

Recyclable and Ultrafast Fabrication of Zinc Oxide Interface Layer Enabling Highly Reversible Dendrite-Free Zn Anode

The surface coating is effective in suppressing Zn dendrite and side reactions, while the existing processing methods employ complex procedures and expensive equipment. Here, we develop an I2-assisted processing method to in situ fabricate the ZnO interface layer on the Zn anode (denoted as IAZO). This strategy features the sustainability that the raw materials, I2, could be reused with a recovery ratio of 67.25% and rapid processing time that only takes 5 min. The IAZO anode achieves an extraordinary cycle life of over 3100 h and a high depth of discharge of 52%, much better than the original Zn anode (less than 220 h and 1.7%). Density functional theory calculations and COMSOL simulation reveal that the IAZO anode has a high binding energy with Zn2+, which contributes to the uniform distribution of the electric field and Zn2+ flux