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This research focuses on prospective teachers who are a group that has a key role in teaching mathematics to future generations. A qualitative approach with an ethnographic design is used to understand and explain the culture and social life of a region by relating its role as a learning resource to developing local culture-based mathematics learning plans. This research method involves collecting data through observation, interviews, and analysis of cultural artifacts. We integrate these cultural elements into mathematics instructional planning. The results of this research show that through exploring local culture, it can be used as a reference for developing learning plans to increase mathematical literacy. Cultural studies as a learning resource are not only for instilling concepts but beyond that, they can be used to develop students' problem solving and critical thinking skills. This research underscores the importance of innovative approaches in mathematics teaching that utilize local cultural assets. The integration of cultural artifacts not only improves mathematical literacy, but also promotes the preservation of cultural heritage. The results of this research can be a guide for educational institutions and teachers in developing mathematics learning strategies that are more contextual and meaningful.

3D reconstruction of culture artifacts has great potential in digital heritage documentation and protection. Choosing the proper images for texture mapping from multi-view images is a major challenge for high precision and high quality 3D reconstruction of culture artifacts. In this study, a texture selection approach, considering both the geometry and radiation quality for 3D reconstruction of cultural artifacts while using multi-view dense matching is proposed. First, a Markov random field (MRF) method is presented to select images from the best angle of view among texture image sets. Then, an image radiation quality evaluation model is proposed in the virtue of a multiscale Tenengrad definition and brightness detection to eliminate fuzzy and overexposed textures. Finally, the selected textures are mapped to the 3D model under the mapping parameters of the multi-view dense matching and a semi-automatic texture mapping is executed on the 3DMax MudBox platform. Experimental results with two typical cultural artifacts data sets (bronze wares and porcelain) show that the proposed method can reduce abnormal exposure or fuzzy images to yield high quality 3D model of cultural artifacts.

Optical three-dimensional (3D) scanning technology is extensively used for digital recording and shape analysis of cultural heritage because it is simple to obtain precise surface shape and color information. In addition, X-ray computed tomography (X-ray CT) is used to record and analyze the internal shape of cultural heritage. However, while the 3D shape acquired by X-ray CT technology is excellent for visualizing the internal shape, expressing the high resolution of the surface shape is difficult. If the benefits of each technology are used to digitize the inside and outside of cultural heritage, the results of surface shape recording based on 3D scanning can be advanced, and various stereoscopic analysis can be performed. Therefore, an optimization modeling process that combines X-ray CT and optical surface scanning is required to record both internal and external shapes of cultural heritage. In this study, optimization modeling methodology was applied to cultural heritage by combining X-ray CT technology and optical 3D scanning technology. Based on the models obtained through both technologies, a mesh-based optimization convergence modeling methodology considering internal and external surface shapes and color is organized. Furthermore, because the X-ray CT data has a characteristic of a voxel base, it is determined that additional convergence methods, including internal voxel data, are required, and a voxel-based optimization model process is established concurrently. Following that, two convergence modeling methods were applied to each of the deer-shaped horn cup artifacts that had an interior shape. As a result, the 3D convergence model creation and mapping optimization process, which can reveal important internal and external information about artifacts such as surface color, fine shape, and internal structure, can be improved. This 3D convergence modeling methodology was able to supplement the two technologies while preserving the benefits of optical 3D scanning and X-ray CT technology. This is thought to contribute to the expansion of the digital recording process from a single technology to multiple technologies. The X-ray CT-based convergence modeling pipeline is expected to be an opportunity in promoting the revitalization of X-ray CT technology in the cultural heritage field because it can be used for a wide range of purposes such as shape analysis, preservation status evaluation, monitoring, restoration, and reproduction.

In recent years, firms have invested considerably in programs to raise their innovativeness by inspiring employees with an innovation-oriented corporate culture. However, extant literature is inconclusive on how an innovation-oriented culture leads to increases in product program innovativeness (PPI). This study investigates this question by analyzing a multilayer model of innovation-oriented corporate culture, using data from three different informants: marketing managers, R&D managers, and customers. The effects of innovation-oriented values and norms on PPI are fully mediated by cultural artifacts. Therefore, values and norms must be transformed into specific artifacts to exert an influence on innovativeness. Furthermore, market dynamism and technological turbulence have opposite moderating effects on the relationship between innovation-oriented artifacts and PPI. Market dynamism weakens this relationship, whereas technological turbulence strengthens it.

Cultural artifacts found underwater are located in complex environments with poor imaging conditions. In addition, the artifacts themselves present challenges for automated object detection owing to variations in their shape and texture caused by breakage, stacking, and burial. To solve these problems, this paper proposes an underwater cultural object detection algorithm based on the deformable deep aggregation network model for autonomous underwater vehicle (AUV) exploration. To fully extract the object feature information of underwater objects in complex environments, this paper designs a multi-scale deep aggregation network with deformable convolutional layers. In addition, the approach also incorporates a BAM module for feature optimization, which enhances the potential feature information of the object while weakening the background interference. Finally, the object prediction is achieved through feature fusion at different scales. The proposed algorithm has been extensively validated and analyzed on the collected underwater artifact datasets, and the precision, recall, and mAP of the algorithm have reached 93.1%, 91.4%, and 92.8%, respectively. In addition, our method has been practically deployed on an AUV. In the field testing over a shipwreck site, the artifact detection frame rate reached up to 18 fps, which satisfies the real-time object detection requirement.

The leader as shaman has three central roles: healer, connector, and sensemaker in the service of a better world. This paper argues that today's leaders acting as shamans could become 'shapeshifters,' or more accurately 'shape the shift,' that is engage with organizational and systemic change needed to content with major problems like sustainability issues, climate change, and inequality, which business businesses are increasingly being asked to deal with as part of their societal roles. In the role of sensemaker, business leaders can shape shifts towards great sustainability and responsibility by developing new mêmes that speak to others and resonate across different people and groups. Memes' roles in change, as core cultural artifacts, on which values, business strategies, and belief systems (among other things) are built, are generally overlooked but are an important element of shamanic leadership.

This paper investigates the meanings medical students invest in their white coats and how these meanings shape students’ strategic use of the white coat as a status symbol. During a four-year ethnography of medical education, I found that the white coat signified knowledgeability and was used to assert status. In interactions students policed their own and each other’s status displays, a process I identify as an instance of status management in medical training. An analysis of the meanings and conventional uses of the short white coat increases our understanding of how novice trainees negotiate their place in a new social order.

By combining cognitive, sensorial, historical, and artistic aspects into one experience, digital interactive technologies have afforded new ways to perceive, preserve, curate, exhibit, and access cultural objects. However, there is a critical lack of frameworks and tools designed specifically for colored cultural artifacts-cultural items for which color is a key means of conveying the creative message. While colored artifacts are a priority for Conservation Science, due to their fragility and to the complexity of recreating original appearances, in this article we argue that the conservation of colored artifacts is not merely a matter of scientific studies, analysis and static preservation. Instead, we argue for holistic conservation including the valorization of the social dimensions of color, including for civic engagement. The work first investigates the types of data and knowledge that Conservation Science produces regarding colored collections which specifically consider the social dimension of color. We then research the relational ties between humans and colored cultural artifacts, proposing ways that caring attitudes can be triggered and maintained. We finally survey previous color-centric approaches to such artifacts with digital technologies in an interactive media participatory design perspective. We conclude with lessons learned and further directions, including novel research questions and ideas for future user experiences.

This research focuses on prospective teachers who are a group that has a key role in teaching mathematics to future generations. A qualitative approach with an ethnographic design is used to understand and explain the culture and social life of a region by relating its role as a learning resource to developing local culture-based mathematics learning plans. This research method involves collecting data through observation, interviews, and analysis of cultural artifacts. We integrate these cultural elements into mathematics instructional planning. The results of this research show that through exploring local culture, it can be used as a reference for developing learning plans to increase mathematical literacy. Cultural studies as a learning resource are not only for instilling concepts but beyond that, they can be used to develop students' problem solving and critical thinking skills. This research underscores the importance of innovative approaches in mathematics teaching that utilize local cultural assets. The integration of cultural artifacts not only improves mathematical literacy, but also promotes the preservation of cultural heritage. The results of this research can be a guide for educational institutions and teachers in developing mathematics learning strategies that are more contextual and meaningful.

Building on the idea that digital games are more than trivial pastimes and can have deeper meaning, this article collection brings together emerging findings from the field of game studies. The foundation for this special issue was laid at the 2023 symposium of the Digital Games Research Section of the European Communication Research and Education Association (ECREA) held in Madrid. The articles in this collection examine the rich content of games as cultural artifacts and how they encourage reflection, the role of games as social environments and learning tools, the dynamics of identity negotiation and socialization in gaming contexts, the societal perceptions of games, and the increasingly important roles of games and game studies in mediatized societies.