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Metallic components with large-area functional surface micro/mesostructures have been increasingly utilized in various industrial fields, such as friction/wear reduction, viscous drag reduction, and energy efficiency enhancement. Roll-to-plate (R2P) imprinting process is an efficient and economical method in fabricating micro/mesofeatures on the large-area surface of the metal parts. However, process design methods based on scale law cannot be directly used due to size effects. Its formability is greatly influenced by tool feature size and material grain size. In this study, a lab-scale R2P imprinting system was developed to fabricate the microsructures on the surface of metallic materials. The specimens of pure aluminum and pure copper with various size grains were prepared. Rigid die with geometric dimensions was fabricated and series of experiments were conducted. The microfeature height of the imprinted workpiece was measured to evaluate the effects of tool feature dimensions (width, spacing, and fillet) and metal grain sizes. It is found that the groove width and fillet had more significant effect on the microfeature formation among the die cavity geometric parameters. Wider groove could enhance the microforming ability and large fillet could improve the flowing ability. From the viewpoint of polycrystalline material, grain structures significantly affected the microfeature formation. When the grain size was smaller than the groove width, the material flowed more easily into the die cavity with increasing of the grain size because of the decrease of grain boundary strengthening effect.

Molybdenum selenium (MoSe2) has tremendous potential in potassium‐ion batteries (PIBs) due to its large interlayer distance, favorable bandgap, and high theoretical specific capacity. However, the poor conductivity and large K+ insertion/extraction in MoSe2 inevitably leads to sluggish reaction kinetics and poor structural stability. Herein, Coinduced engineering is employed to illuminate high‐conductivity electron pathway and mobile ion diffusion of MoSe2 nanosheets anchored on reduced graphene oxide substrate (Co‐MoSe2/rGO). Benefiting from the activated electronic conductivity and ion diffusion kinetics, and an expanded interlayer spacing resulting from Co doping, combined with the interface coupling with highly conductive reduced graphene oxide (rGO) substrate through Mo‐C bonding, the Co‐MoSe2/rGO anode demonstrates remarkable reversible capacity, superior rate capability, and stable long‐term cyclability for potassium storage, as well as superior energy density and high power density for potassium‐ion capacitors. Systematic performance measurement, dynamic analysis, in‐situ/ex‐situ measurements, and density functional theory (DFT) calculations elucidate the performance‐enhancing mechanism of Co‐MoSe2/rGO in view of the electronic and ionic transport kinetics. This work offers deep atomic insights into the fundamental factors of electrodes for potassium‐ion batteries/capacitors with superior electrochemical performance.

Background: It is increasingly essential for translators to possess a high level of technological proficiency to succeed in their work, as technology is becoming an integral part and common practice of the translation industry. Several previous studies found that critical thinking, academic self-efficacy, and cultural intelligence independently influenced the translation competence of college students. However, the underlying psychological mechanism through which these salient factors affect student translators' technology competence has not been fully explored. Therefore, this research sought to examine the systematic interactions between critical thinking, academic self-efficacy, cultural intelligence, and translation technology competence among college students. Methods: This study adopted an empirical approach to collect data from 663 seniors from 7 colleges in China. The questionnaires of the Critical Thinking Disposition Scale (CTDS), General Academic Self-Efficacy Scale (GASE), Short Form measure of Cultural Intelligence (SFCQ), and Translation Technology Competence Scale (TTCS) were used for the online survey. The quantitative data were investigated by employing descriptive statistics with SPSS 27, covariance-based structural equation modelling with AMOS 24 to test the proposed hypotheses by assessing relationships between observed and latent variables, and bootstrap method with PROCESS 3.5 to examine the mediating effects. Results: Critical thinking, academic self-efficacy, and cultural intelligence were significant predictors of students' translation technology competence. Additionally, academic self-efficacy and cultural intelligence acted as independent and chain mediators in the relationship between critical thinking and student translators' technology competence. Conclusion:The findings provide valuable insight into how psychological factors, including critical thinking, academic self-efficacy, and cultural intelligence, can impact students' competence in translation technology. This study contributes to future research and practices that seek to understand how these psychological factors can be leveraged to promote students' success in translation technologies.