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Recently, significant interest has been shown in using ferroelectric or piezoelectric energy harvesting to collect mechanical energy from the surrounding atmosphere to power next-generation wearable electronic sensors and devices. Due to their pyroelectric and piezoelectric capabilities and high permittivity for energy storage, ferroelectrics are a significant class of electroactive materials. As a result of its low price and high usability, piezoelectric energy harvesters have seen rapid development over the last decade. When used as part of a larger energy harvesting strategy, ferroelectric/ferroelastic switching may significantly boost energy density. Hence, this study suggests the Stable Diffusion Model-based Composite Layered Ferroelectric Ceramic Materials (SDM-CLFCM) for effective energy harvesting under the background of Meta-Universe. The highest output current and peak power density shown by the composite layered porous piezoelectric composite energy harvester are much greater than those reported for existing porous piezoelectric materials. [ABSTRACT FROM AUTHOR]

As a typical application of machine learning in the mobile field of security and privacy protection, the main characteristics of arts and crafts materials are to advocate the practicality and functionality of design, emphasizing the unity of practicality and aesthetics, and practicality is the first. The so-called practicality refers to whether the designed product meets the specific functional requirements or aesthetic requirements, and whether it is convenient, comfortable and safe to use. Based on computer vision, this paper studies the material and aesthetic characteristics of arts and crafts works, and the research shows that this method has achieved the best performance. More specifically, the maximum expected value of this method is 0.69, which is much higher than the corresponding values of 0.54 and 0.50 in references [1] and [2] respectively. The experimental results show that our method is specially designed for the distributed learning of process aesthetics, and it is still a very effective tool for the aesthetic classification task of process aesthetic feature images. Based on computer vision, this paper studies the creative style and aesthetic characteristics of arts and crafts materials, and makes a comprehensive investigation and beneficial exploration on their development, aesthetic characteristics and creative style. [ABSTRACT FROM AUTHOR]

Based on a concept of professionalism, this study analyzed and compared current public relations curricula of higher education among the United States, the United Kingdom, and South Korea. In terms of three educational orientations, results indicated that public relations education in the United States is the most balanced among theoretical, skill-based, and practical content; U.K. schools offer more theoretical courses, and South Korean schools are significantly more concerned with skill-based and practical courses. (Contains 3 tables and 52 notes.)

This study explores the interactive relationship between apology, as a crisis-response strategy used in the current Toyota recall crisis, and product involvement in influencing the restoration of the organization’s reputation and customers’ future purchase intentions. The authors measured the impact of the interaction between participants’ perception of an apology and their product-involvement levels using a 2 (perception of apology: high sincerity vs. low sincerity) × 2 (product involvement: high vs. low) experiment design. The results showed that an apology was an effective strategy for repairing the organization’s reputation for those participants who were highly involved and perceived the strategy as highly sincere, but it did not increase their purchase intentions. [ABSTRACT FROM PUBLISHER]