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With the expansion of the popularity of digital intelligent, cross-border e-commerce talent training process is affected by many factors. The influence of these factors on the training of cross-border ecommerce talents under the digital intelligent enabling system is sustainable and complex. In order to clarify the influencing process of relevant factors, we conducted research by literature review, correlation test, common method bias test and benchmark regression method. The results are as follows: (1) Students’ autonomous online learning efficiency, teachers’ classroom digital intelligent teaching ability, digital intelligent teaching scenarios, and digital intelligent teaching management level are all important factors that sustainably affect the training of cross-border e-commerce talents. (2) The positive development of these influencing factors could sustainably promote the improvement of cross-border e-commerce talent training quality. (3) The degree of sustainability impact on the quality of cross-border e-commerce talent training, in order from strong to weak, is digital intelligent teaching scenario, students’ autonomous online learning efficiency, teachers’ classroom digital intelligent teaching ability, digital intelligent teaching management level.

After a sandstone oilfield enters the high water-cut period, the viscosity of crude oil has an important influence on remaining oil distribution and waterflooding characteristics under the same factors of, e.g., reservoir quality and development methods. Based on a comprehensive interpretation of the waterflooded layers in new oil wells, physical simulation experiments, and reservoir numerical simulations, we analyzed the waterflooding laws of a high water-cut sandstone reservoir with different oil viscosities in Kazakhstan under the same oil production speed, and we clarified the remaining oil potential of reservoirs with different viscosities and proposed corresponding development measures. The results show that low-viscosity oil reservoirs (1 mPa s) have uniform waterflooding, thick streamlines, small waterflooding areas, and low overall waterflooding degrees because of their homogeneous oil–water viscosities. However, within waterflooded areas, the reservoirs have high oil displacement efficiencies and high waterflooding degrees, and the remaining oil is mainly concentrated in the unwaterflooded areas; therefore, the initial production and water cut in new oil wells vary significantly. High-viscosity oil reservoirs (200 mPa s) have severe waterflooding fingering, large waterflooding areas, and high overall waterflooded degrees because of their high oil–water mobility ratios. However, within waterflooded areas, the reservoirs have low oil displacement efficiencies and low waterflooding degrees, and the remaining oil is mainly concentrated in both the waterflooded areas and the unwaterflooded areas; therefore, the differences in the initial production and water cut of new oil wells are small. Moderate-viscosity oil reservoirs (20 mPa s) are characterized by remaining oil distributions that are somewhere in between those of the former two reservoirs. Therefore, in the high water-cut period, as the viscosity of crude oil increases, the efficiency of waterflooding gradually deteriorates and the remaining oil potential increases. In the later development, it is suggested to implement the local well pattern thickening in the remaining oil enrichment area for reservoirs with low viscosity, whereas a gradual overall well pattern thickening strategy is recommended for whole reservoirs with moderate and high viscosity. The findings of this study can aid better understanding of waterflooding law and the remaining oil potential of reservoirs with different viscosities and proposed corresponding development measures. The research results have important guidance and reference significance for the secondary development of high water-cut sandstone oilfields.

In recent years, the digital economy and the green economy have become integral parts of China's economy. Chinese government has been actively expanding its support for the development of these sectors. However, there are still several obstacles hindering the progress of the digital economy and the green economy in China. The objective of this study is to delve into the impact mechanism of the digital economy on the green economy. Moreover, this paper innovatively integrates industrial structure and technological innovation into this impact process. We elucidate the significant roles played by these two mediating variables. Simultaneously, we employ the bidirectional fixed-effect model, baseline regression, and robustness tests to analyze the data from 31 provinces in China between 2012 and 2021. The conclusions of this study are as follows: (1) The development of the digital economy in China contributes to the improvement of the level of the green economy. (2) When the digital economy influences the green economy, the upgrading of industrial structure and technological innovation play significant roles. (3) The impact of the digital economy on the green economy varies across diverse regions in China. This study reveals the impact mechanism of the digital economy on the development of the green economy using variables of industrial structure and technological innovation. It enriches the research content in this field and extends the application scenarios of related research methods. The conclusions provide valuable references for promoting the development of both the digital economy and the green economy in China. [ABSTRACT FROM AUTHOR]

With the strengthening of social environmental regulations, consumers' green products purchasing intention is also increasing significantly. Simultaneously, green marketing activities have developed into a vital factor affecting consumers' green products purchasing intention. The first research aim of this paper is to reveal the important relationship between environmental regulation and consumers' green products purchasing intention. Furthermore, another research aim is to reveal the role of green marketing in environmental regulation and consumers' green products purchasing intention. To achieve the above purpose, we primarily employ regression analysis, threshold effect analysis, spatial spillover effect analysis, and heterogeneity tests. We come up with some conclusions. First of all, environmental regulations could enhance consumers' green product purchasing intention. With the reinforcement of environmental regulations, consumers' green product purchasing intention could be effectively elevated. Secondly, green marketing is a positive mediator of the environmental regulations that affect the consumers' green product purchasing intention. By enhancing their green marketing capabilities, businesses could also strengthen consumers' green product purchasing intention. Lastly, in different regions of China, the impact of environmental regulations and green marketing on consumers' green product purchasing intention varies. In the Eastern region, the influence of environmental regulations on consumers' green product purchasing intention is most prominent. However, green marketing exerts the greatest impact on the consumers' green product purchasing intention in the Western region. In addition, this paper provides significant insights for the managers in making management decisions. This is beneficial for enhancing consumers' green product purchasing intention. [ABSTRACT FROM AUTHOR]

The United States (US) is the world's largest beef producer and the third‐largest exporter. Beef production is also an important component of Texas history and economy. However, the US beef industry faces several challenges, including declining domestic consumption and competition for export markets. A potential strategy to overcome these challenges is promoting US beef products in international markets. Mexico is one of the markets of importance as it is the third‐largest export destination for US beef. In this study, we explored the use of "US" country of origin and "Texas" geographic indication information for consumer advertising of beef in Mexico. It was posited that Texas's international reputation as a cattle‐producing region could be used to promote Texas beef products. Data for this study were collected in 2019 and 2020 using an online survey of 1021 Mexican food shoppers. The survey included a choice experiment with 12 hypothetical choice scenarios of beef steak with different product attributes and prices. The product attributes considered were place of origin, food safety level, and production practices. Mexican consumers were found to have a strong preference for domestic beef products. Moreover, Mexican consumers are willing to pay $1.16 and $1.18/lb for enhanced food safety and natural production practices. Consumers are also willing to pay $0.19/lb more for US–Texas beef than that of US beef. The results of this project provide valuable information for developing marketing strategies and promotion campaigns aiming to improve the competitiveness of US and Texas beef products in foreign markets [EconLit Citations: D12, Q17, Q18]. [ABSTRACT FROM AUTHOR]

The impact of green technology innovation and the digital economy on the sustainability of the green economy is increasing. To delve deeper into this subject, this paper utilizes fixed- effect models and threshold effect models. It examines data from 34 provincial administrative regions of China. The aim is to uncover the patterns of influence the green technology innovation and the digital economy have on the sustainability of the green economy. The research findings are as follows: (1) The green technology innovation, digital economy, and their interaction contribute to promoting the high-quality sustainability of the green economy. The sustainability of the green economy relies on the support of green technology innovation and the digital economy. By optimizing the capabilities of green technology innovation and the level of digital economy, managers could enhance the high-quality sustainability of the green economy. (2) The digital economy exhibits a dual threshold effect in driving the sustainability of the green economy through green technology innovation. When the digital economy surpasses the first threshold, the influence of green technology innovation on the green economy experiences a notable increase. However, once the digital economy surpasses the second threshold, the impact of green technology innovation on the green economy begins to diminish significantly. (3) There are notable regional variations in the impact of green technology innovation and digital economy on the sustainability of the green economy across different regions of China. Considering these findings, it is vital for stakeholders in China to implement customized measures. These measures should aim to actively promote the sustainability of China's green economy. The relevant stakeholders include businesses and the government. [ABSTRACT FROM AUTHOR]

The stability of the Zn metal anode is significantly affected by the various parasitic reactions during plating/stripping. Here, sodium 4‐aminobenzenesulfonate (SABS) is a functional electrolyte additive to modulate the electrode/electrolyte interface to protect the Zn metal. An electrical double layer (EDL) reconstruction of the interface is affected by providing hydrogen bond sites through nitrogen and oxygen elements with lone pair electrons in SABS molecules. These strong hydrogen bonds not only limit the corrosion of free H2O molecules on the surface of Zn anode but also promote the desolvation process. Besides, the SABS can be further in situ decomposed into a solid electrode/electrolyte interface (SEI) layer to regulate the plating/stripping behavior of Zn2+. As a result, based on the synergism of organic–inorganic hybrid SEI layer and the EDL reconstruction, the Zn//Zn symmetric cells exceptionally survive lasting for 6500 hours at 1 mA cm−2 and 1 mAh cm−2, and over 900 cycles even at 40 mA cm−2 and 10 mAh cm−2. The Zn‐I2 full cell maintains excellent cycle stability of 92.4% after 20000 cycles. Remarkably, the pouch cell maintains a capacity retention of over 99.1% (63 mAh) for 820 cycles at 5 mA cm−2. [ABSTRACT FROM AUTHOR]

The inhomogeneous plating/stripping of Zn anode, attributed to dendrite growth and parasitic reactions at the electrode/electrolyte interface, severely restricts its cycling life‐span. Here, trace zwitterions (trifluoroacetate pyridine, TFAPD) are introduced into the aqueous electrolyte to construct a multifunctional interface that enhances the reversibility of Zn anode. The TFA− anions with strong specific adsorption adhere onto the Zn surface to reconstruct the inner Helmholtz plane (IHP), preventing the hydrogen evolution and corrosion side reactions caused by free H2O. The Py+ cations accumulate on the outer Helmholtz plane (OHP) of Zn anode with the force of electric field during Zn2+ plating, forming a shielding layer to uniformize the deposition of Zn2+. Besides, the adsorbed TFA− and Py+ promote the desolvation process of Zn2+ resulting in fast reaction kinetics. Thus, the Zn||Zn cells present an outstanding cycling performance of more than 10000 hours. And even at 85 % utilization rate of Zn, it can stably cycle for over 200 hours at 10 mA cm−2 and 10 mAh cm−2. The Zn||I2 full cell exhibits a capacity retention of over 95 % even after 30000 cycles. Remarkably, the Zn||I2 pouch cells (95 mAh) deliver a high‐capacity retention of 99 % after 750 cycles. [ABSTRACT FROM AUTHOR]