Abstract: This study explores how AI language models impact workplace efficiency and employee motivation within varied organizational settings. Using statistical analyses and graphical visualization, it examines the relationships among Discussion Level, AI Usage Proportion, and Efficiency—quantified by the Annual Bonus Increase Ratio for private sector employees and the Oral Praise Increase Ratio for public sector workers. Findings reveal a positive link between AI usage and Efficiency in the private sector, where performance is largely driven by financial incentives. In the public sector, verbal praise from superiors is a primary motivator, with AI assistance particularly enhancing efficiency in politically sensitive contexts. Graphical analysis shows distinct Efficiency distribution patterns, highlighting unique preferences and constraints in AI utilization across organizational types. This research underscores the need for a nuanced understanding of AI adoption dynamics to optimize workflows and elevate employee performance.

Abstract: This research successfully developed a composite material that integrates a flexible carbon fiber fabric (CF) with copper nanoflakes (Cu) and an Ethylene Vinyl Acetate (EVA) layer (P-EVA/Cu@CF), designed for superior electromagnetic interference (EMI) shielding and self-healing capabilities. The material’s innovative preparation process involves the integration of carbon fiber fabric (CF) as the base, copper nanoflakes for enhanced conductivity, ethylene-vinyl acetate (EVA) for flexibility and self-repair, and polytetrafluoroethylene (PTFE) for a hydrophobic surface. The CF fabric is sprayed with a copper nanoflake suspension, followed by lamination with EVA mesh and the application of a PTFE layer to create a robust, hydrophobic epidermal layer. This meticulous fabrication method ensures a layered structure that is pivotal for the material’s multifunctional properties. The P-EVA/Cu@CF material exhibited remarkable EMI shielding effectiveness, with over 40 dB across the X-band frequency range, making it highly effective in blocking electromagnetic waves. This exceptional performance is attributed to the synergistic effects of the conductive copper nanoflakes and the carbon fiber fabric. Mechanical testing revealed a fracture strength of 1600 MPa and a Young’s modulus of 3.8 GPa, indicating that the added components did not compromise the material’s inherent mechanical strength. Moreover, the material’s self-healing capability was demonstrated through the rapid restoration of its hydrophobic state within 30 s under a 9V voltage, showcasing its potential for sustainable and durable applications in extreme environments. In the future, the P-EVA/Cu@CF composite material, with its advanced preparation process and multifunctional attributes, stands out as an ideal candidate for applications in aerospace, automotive, marine, and wind energy sectors where high-performance materials with robust shielding and self-repair functionalities are critical.