During the operation of a nuclear power plant (NPP), the generation of radioactive waste, including dry active waste (DAW), concentrates, spent resin, and filters, mandates the implementation of appropriate disposal methods to adhere to Korea’s waste acceptance criteria (WAC). In this context, this study investigates the potential use of polymer concrete (PC) as a high-integrity container (HIC) material for solidifying and packaging these waste materials. PC is a versatile composite material comprising binding polymers, aggregates, and additives, known for its exceptional strength and chemical stability. A comprehensive analysis of PC’s long-term integrity was conducted in this study. First, its compressive strength, which is crucial for ensuring the structural stability of HICs over extended periods, was evaluated. Subsequently, the resilience of PC was tested under various stress conditions, including biological, radiological, thermal, and chemical stressors. The findings of this study indicate that PC exhibits remarkable long-term properties, demonstrating exceptional stability even when subjected to diverse stressors. The results therefore underscore the potential viability of PC as a reliable material for constructing high-integrity containers, thus contributing to the safe and sustainable management of radioactive waste in NPPs.

At a time when the demand for drones is increasing, a plan to utilize drone images was sought for efficient promotion of cadastral resurvey. To achieve the purpose of this study, the technical and legal status of drone images was reviewed, and through this, the possibility of using it for cadastral resurvey was primarily reviewed. subsequently, an experiment was conducted targeting the project district to examine whether drone images were applied to boundary extraction, which is the primary process of cadastral resurvey. As a result of the experiment, it was found that boundary extraction from images is possible. However, in some cases, it is impossible due to field conditions or image quality. Therefore, it is necessary first to apply cases where boundary extraction is possible to cadastral resurvey and seek solutions for some impossible cases. In particular, the image quality problem may have problems with the current technology, but it will also have problems with the existing drone equipment. So, standard for drone calibration should also be established. Finally, the cadastral resurvey surveying procedure using drones was also presented.

Under increased complexity and uncertainty of overseas construction projects, it is important for construction companies to improve their own project risk management capabilities instead of risk-taking strategies to secure competitiveness in the overseas construction market. Although most of the risks occur in project execution stage, many previous studies focused on planning stage including risk identification and analysis among PRM process. Therefore, this study aims to verify the effectiveness of whole PRM process during project execution stage through empirical study on participants of overseas construction projects. As the result it was found that first, the factor directly affects the project success is the execution process of PRM. It implies that appropriate actions such as appointing charged manager for risks, timely implementation of responding plan, continuous risk monitoring and updating established plan are the key for contribution to the project success. Second, the importance of communication in PRM is also found, which is not conducted at a specific but throughout the entire PRM process and need to be managed as essential factor for successful PRM..

Canine parvovirus-2 (CPV-2) has been reported worldwide as a major pathogen associated with acute hemorrhagic enteritis. The disease is a major infectious cause of death, particularly in young dogs. The earliest type of CPV-2 was replaced with three main subspecies, CPV-2a, CPV-2b, and CPV-2c, within a few years. Vaccination is carried out regularly, but the emergence of antigenic variants and the influence of maternal antibodies have limited the efficacy of commercial vaccines. New vaccines, such as the subunit vaccine, have been developed for alternative, safe, and effective vaccination. The baculovirus expression vector system (BEVS) is an excellent eukaryotic expression system with a high-level expression of foreign proteins and the ability of post-translational modification. Therefore, it is used widely to produce recombinant protein and subunit vaccines. In this study, the VP2 protein of CPV-2b cloned in the gateway vector system was generated using a baculovirus expression system in Spodoptera frugiperda (SF9) insect cells. Hemagglutination assay (HA) titers (24) were obtained, and the expression was detected in 6-His tagged VP2 and monoclonal antibody (mAb) against CPV-2 by western blotting. The VP2 protein of CPV-2b expressed in this study may provide a basis for a clinical diagnosis and vaccination applications for CPV-2.

The emergence of Mo2C- based catalysts in recent years has been favored as promising contender within diverse class MXenes. In terms of rapid development in the photocatalytic application, these intriguing compounds exhibit excellent photocatalytic performance because of their superior optical properties and peculiar structure characteristics. Unfortunately, a systematic review of Mo2C- based catalysts is lacking. In this review, we abstract the implication of structure—property relationship of emerging Mo2C- based MXenes materials and their applications toward the photocatalytic hydrogen evolution reaction (HER). Furthermore, synthetic pathways to prepare high-quality, low cost Mo2C- based MXenes materials and their outcomes for high HER applications are systematically described. Finally, several insights are provided into the prospects and future challenges for the development of highly reactive Mo2C- based MXenes materials, which present large range opportunities in this promising 2D materials for green and clean energy in environmental fields. This review provides a comprehensive scientific guide to the preparation, modification, and photocatalytic HER of MXenes-based materials.

Reliable, inexpensive, environment-friendly, and durable properties of carbon materials with unique and outstanding photoelectric performance is highly desired for myriad of applications such as catalysis and energy storage. Since lattice modulation is a vital method of surface modification of materials, which form by an external force during the synthesis process, causing the internal compression and stretching, leading to lattice sliding event. In this review, we present a summary of different methods to tailor the lattice modulation in 2D carbon-based materials, including grain/twin boundary, lattice strain, lattice distortion, and lattice defects. This overview highlights the implication control of the diverse morphologies of nanocrystals and how to tailor the materials properties without adding any polymers. The improvement in the performance of 2D carbon materials ranges from the enhancement of charge transport and conductivity, structural stability, high-performance of light absorption capacity, and efficient selectivity promote the future prospect of 2D carbon materials broaden their applications in terms of energy conversion and storage. Finally, some perspectives are proposed on the future developments and challenges on 2D carbon materials towards energy storage applications.

Western coastal area of Chungnam, including Cheonsu Bay and Garorim Bay, has suffered from hot and cold extremes. In this study, the extreme sea surface temperature on the western coast of Chungnam was analyzed using the quantile regression method, which extracts the linear regression values in all quantiles. The regional MOHID (MOdelo HIDrodinâmico) model, with a high resolution on a 1/60o grid, was constructed to reproduce the extreme sea surface temperature. For future prediction, the SSP5-8.5 scenario data of the CMIP6 model were used to simulate sea surface temperature variability. Results showed that the extreme sea surface temperature of Cheonsu Bay in August 2017 was successfully simulated, and this extreme sea surface temperature had a significant negative correlation with the Pacific decadal variability index. As a result of future climate prediction, it was found that an average of 2.9oC increased during the simulation period of 86 years in the Chungnam west coast and there was a seasonal difference (3.2oC in summer, 2.4oC in winter). These seasonal differences indicate an increase in the annual temperature range, suggesting that extreme events may occur more frequently in the future.

This study quantifies drivers and consequences of positive and negative electronic word-of-mouth (eWOM) engagement on social networking sites building upon social identity theory. Fitting a structural model using software smartPLS 4.0, the analysis compares two distinct groups of respondents. Though these groups seem to belong to the same in-group. Nevertheless, group members differ with respect to the drivers and consequences of their positive and negative eWOM engagement. As engagement is often used in the context of service-dominant logic, we reveal which non-monetary value co-creating and value-reducing consequences result from positive and negative eWOM engagement. This study highlights the impact of eWOM engagement on self-brand connection and self-brand incongruity and identifies commitment as a major driver. For international respondents negative eWOM does not automatically increase self-brand incongruity but low negative eWOM has a positive effect on the self-brand connection.

In this research, given the recent spurt of luxury brands featuring their products in the metaverse, we examine if the use of luxury brand items to enhance one’s virtual avatar augments the gamer’s sense of confidence, empowerment, and actual performance. We conduct two studies to test the same. In our first study, we simulated a gaming environment on an online survey portal and asked participants to choose their avatar features. We provided them with a branded item (luxury/regular). Consequently, we asked them to indicate their level of confidence, and empowerment. They were asked to play a game to record their actual performance. In our second study, we asked participants to choose their avatar on an online game on their mobiles and similarly provided them with a branded item (luxury/regular). We then measured their confidence, and empowerment and observed their actual performance.

This paper examines the intersection between alternative social movements and corporate actors, focusing on the shared practices and potential overlap between these spheres. By analyzing the case of the Burning Man community and its globally recognized brand, this study explores three key research questions: the elements of a brand and its application in the context of counter-cultural social movements, the role of radical social movement members in brand co-creation, and how brand management can support co-creation within counter-culture social movements. Grounded in social movement literature and theories of brand management, this conceptual paper draws from the Burning Man Journal publications to investigate the relationship between branding and the Burning Man community. Burning Man, a participatory culture and annual event held in Black Rock City, Nevada, represents a unique case of a counter-cultural social movement. The paper challenges the notion that a brand is solely represented by a logo, highlighting the duality of brand identity and brand image. Burning Man's perspective on branding aligns with the concept of co-created brands, emphasizing the dynamic and iterative nature of brand identity.

Algorithms are rapidly altering the way society operates (SIOP, 2020). Algorithms are used in modern businesses for tasks such as hiring, advising investors on financial matters, recommending new products to customers (Shankar, 2018). However, lay people frequently oppose them, a phenomenon known as algorithm aversion (e.g., Dietvorst et al., 2015). While prior research tries to address this issue by identifying cognitive and affective predictors of algorithm aversion, we seek to contribute to the algorithm aversion literature by investigating an understudied antecedent of people’s support for algorithm adoption—their cultural values (Dietvorst & Bartels, 2022).

Social media began to boom in the 2000s. According to statistics, there are 92.3% of internet users are social media users who spend nearly two and a half hours daily on social media. Instagram is considered the most popular image-sharing platform, with more than 1.2 billion monthly active users. Meanwhile, consumers nowadays refer to and follow online reviews to assist their decision-making process more efficiently.

This paper aims to examine the effect of AI framing (i.e., Scientific AI vs Magic AI) on consumers' product evaluation. This study shows that magically framed AI technology may be more beneficial to appeal to product innovativeness when subjective product properties (e.g., personal taste) becomes important. On the contrary, when objective product properties (e.g., functionality) becomes important, scientifically framed AI technology is more likely to generate higher perceived product attractiveness and purchase intention.