This study explores the expressive characteristics of new media fashion collections, which have emerged through the convergence of fashion and digital technologies. As new media develops with the integration of old media, fashion collections are increasingly functioning as media tools to convey identity, narrative, and artistic intent beyond aesthetic presentation. Through a literature review and case analysis of collections from 2000 S/S to 2025 S/S, this study defines the term ‘new media fashion collection’ and investigates its communicative functions. The findings reveal that such collections embody the significance of the expansion of space-time, evolution of expression methods, and decentralization of experience, while diversifying meanings and modes of expression based on new media attributes such as extensibility, integrativeness, and interactivity. More specifically, their expressive characteristics can be understood through four characteristics: the direct representation through borrowing, the diversity of message expression, the immersion through unreality, and the narrative construction via editing. Collectively, these characteristics demonstrate how new media fashion collections emphasize themes by using digital technology to borrow or transform old media content. Digital technologies allow fashion collections to unfold across limitless space-time dimensions, positioning them as versatile communication media and enhancing expressive possibilities. These approaches reflect how fashion collections in the digital era integrate technological elements to enrich communication and viewer engagement. This research contributes to the positioning of fashion collections as a form of media and offers a framework for analyzing their evolving expressions. Further, it highlights the need for continued interdisciplinary research bridging fashion, technology, and media theory.

Virtual Reality Head Mounted Display (VR HMD)-based flight simulators have recently emerged as promising tools for enhancing pilot training effectiveness. This study aims to establish a set of evaluation criteria for the development of VR HMD-based flight simulators and to determine their relative importance and priority using the Analytic Hierarchy Process (AHP). Through an extensive review of the literature, a hierarchical evaluation model was constructed, consisting of three primary criteria and ten sub-criteria. A structured questionnaire was administered to experienced pilots, and the collected data were analyzed using the AHP methodology to assess the relative weights of each criterion. The analysis revealed that the fidelity of system performance is the most influential factor in evaluating VR HMD-based flight simulators. These findings present a structured evaluation framework and offer practical insights for guiding the strategic development and optimization of VR HMD-based flight training systems.

Segregated composites, where fillers are selectively placed at the matrix interface to form a segregated filler network, are attracting attention because they can provide excellent conductive properties at low filler content. In this study, the anisotropic enhancement in thermal conductivity of composites was discovered due to the unique structure of the segregated network. The segregated composites were produced using a typical mechanical mixing of matrix pellets and the internal structure was precisely analyzed using three-dimensional non-destructive analysis. The segregated composites slightly improved in the through-plane thermal conductivity, but the in-plane thermal conductivity increased rapidly, showing the anisotropic thermal conductivity. The maximum improvement in the in-plane thermal conductivity of the segregated composites increased by 112.5 (at 7 wt% graphene nanoplatelet) and 71.4% (at 10 wt% multi-walled carbon nanotube), respectively, compared to that of the random composites filled with the same amount of filler. On the other hand, the electrical conductivity of the segregated composites was isotropic due to the difference in the transport mechanisms of electrons and phonons. The anisotropic thermal conductivity developed by the segregated network was helpful in inducing effective heat dissipation of commercial smartphone logic boards.