This study responds to literature calls to investigate the different social and psychological antecedents of negative consumer emotional well-being in the context of the health crisis Covid-19. We perform a path analysis on a sample of Australian consumers during the Covid-19 lockdown. We find that social norms and word-ofmouth increase consumer fear-of-missing-out which in turn fuels panic buying behavior. Such behavior is moreover spurred by positive motivations to panic buy. By contrast, we find that consumer ability to self-regulate during Covid-19’s reduces their tendencies to succumb to panic buying. We moreover find that such self-regulation is enhanced through sustainable product consumption behavior during Covid-19. Lastly, it was found that panic buying has a negative influence on emotional well-being of consumers. Implications of our findings for theory and future research directions are provided.

This study focuses on the path planning algorithm for large-scale autonomous delivery using drones and robots in urban environments. When generating delivery routes in urban environments, it is essential that avoid obstacles such as buildings, parking lots, or any other obstacles that could cause property damage. A commonly used method for obstacle avoidance is the grid-based A* algorithm. However, in large-scale urban environments, it is not feasible to set the resolution of the grid too high. If the grid cells are not sufficiently small during path planning, inefficient paths might be generated when avoiding obstacles, and smaller obstacles might be overlooked. To solve these issues, this study proposes a method that initially creates a low-resolution wide-area grid and then progressively reduces the grid cell size in areas containing registered obstacles to maintain real-time efficiency in generating paths. To implement this, obstacles in the operational area must first be registered on the map. When obstacle information is updated, the cells containing obstacles are processed as a primary subdivision, and cells closer to the obstacles are processed as a secondary subdivision. This approach is validated in a simulation environment and compared with the previous research according to the computing time and the path distance.

With the increasing cultural exchanges, ethnic exchanges and international exchanges in the 21st century, the distance between countries and peoples has been gradually narrowed, and it is the urgent desire of every country to achieve peace, stability and development together. In this international situation, a new idea, “multicultural education”, has been born, which is to safeguard and protect the equal and common right to education of people of all countries by means of the power of education. One of the main objectives of multicultural education is to provide students with the necessary knowledge, culture and skills to help them better stand firm in the context of different ethnic cultures, community cultures, social mainstream cultures and cross-ethnic cultures, aiming to eliminate the concept of integration or homogenization, and avoid seeing all students as individuals with the same cultural background and experience. It’s about respecting and acknowledging their diversity. Multicultural education is not only a process of educational reform, but also a positive educational idea or value concept, which is of great significance to modern society and an important way to meet the diversified needs of students and improve the quality of education. At the same time, it also helps to cultivate students’ understanding and respect for different cultures and promotes the development of global citizenship. The concept of multicultural education has been clearly reflected in many disciplines, and the field of art is no exception. This concept emphasizes the importance of arts education in promoting cultural diversity and national identity. Through exposure to and learning about the music of different countries, nationalities and regions, students can also better understand and appreciate the value and uniqueness of various cultures, while strengthening their identity and pride in their own culture. From the perspective of multi-culture, Chinese music education has experienced a series of changes and development in the past period of time, and at the same time ushered in unprecedented opportunities and challenges. According to relevant research findings, China began to explore and study multicultural music education many years ago, and although it has made some achievements, there are still many problems. Based on this, this paper summarizes the problems exposed by Chinese music education under the multicultural situation, and explores and analyzes how to achieve better and more long-term development of Chinese music education under the multicultural perspective based on these problems.

The Chinese Communist Party (CCP) proposed the concept of “Chinese Path to Modernization” at the 20th National Congress of the CCP in October 2022. Thereafter, President Xi Jinping further developed the concept in various public speeches and saw it as a key theoretical innovation for the theory of socialism with Chinese characteristics. “Chinese Path to Modernization” embodies five main features: modernization of a huge population, of common prosperity for all, of material and cultural-ethical advancement, of harmony between humanity and nature, and of peaceful development. It indicates that China expects to breaks the modernization model of Western powers and seeks to build theoretical foundation for its own development path. Despite “Chinese Path to Modernization” growing into a heated topic among the Chinese academia, existing research appears to be overwhelmingly propaganda-oriented and lacks of solid academic basis. Meanwhile, the “Chinese Path to Modernization” theory has also drawn substantial research attention in Korea. Korea’s China experts have provided various analysis on possible impacts to Chinese political economy and Sino-Korean relations in the future. This paper reviews the evolution of modernization theory in China. Moreover, this study also explores the core ideas and key implications embedded into this emerging concept, and looks at its potential impacts to China’s national governance from both theoretical and policy-based landscapes.

Safeguards systems and measures are determined through diversion scenario analysis based on the facility design information submitted to the IAEA when a new nuclear facility is introduced. While the concept of safeguards-by-design (SBD), which considers the safeguards from the design phase for a facility operator to minimize unplanned changes or disruption to facility operations as well as for the IAEA to increase the efficiency and effectiveness in safeguards implementation, has been emphasized for more than a decade, there is no practical tool or guidance on how to apply it. In this study, we develop a diversion path analysis tool and introduce how to apply SBD using it. A diversion path analysis tool was developed based on the elements that constitute diversion and the algorithm generated based on the initial information of facility and nuclear material flow. The results of utilizing the analysis tool depending on a different level of facility information and the safeguards set-ups were compared through examples. Taking a typical light water reactor as an example, the test analyzed the automatic generation of dedicated routes, configuration of safeguards measures, and diversion path analysis. Through this, the application and limitations of the analysis tool are discussed, and ideas for utilization according to the SBD concept and necessary regulatory guidance are proposed. The results of this study are expected to be directly utilized to domestic nuclear control during the regulation process for a construction of new nuclear power systems, and furthermore, to enhance national credibility in the engagement with the IAEA for implementation of safeguards.

This study examines the persistent decline of the motorcycle industry despite governmental interventions, using the perspective of path dependency. Drawing from W. B. Arthur's concept of 'Lock-in by insignificant historical events', the research delves into the lock-in phenomena within the industry's life cycle. We identified path dependency lock-in categories: contingency, historicity, and technological lock-in. The industry's licensing production method during its embryonic phase led to limited technological capabilities, establishing a technological path dependency. During the currency crisis and in alignment with China's open-door policy, the industry chose to import cheaper components, opting for economies of scale over technological innovation, intensifying the lock-in. Furthermore, the classification of motorcycle as a free industry before the currency crisis resulted in a lack of governmental support. This neglect has continued, with even modern electric motorcycle facing regulation. In conclusion, to overcome this entrenched path dependency and lock-in, significant governmental policy restructuring is essential.

A spiral flow path was applied to solve the problem of the existing straight flow path in the leveling shaft, a key component of the self-levelizer that can maintain the height according to the change in payload in EV, SUV. In this study, flow analysis was performed to check the velocity, pressure drop, and flow direction of oil according to the main operating conditions of the leveling shaft with a spiral flow path. As a result of the study, a leveling shaft with a spiral flow path is likely to improve fluid properties around the orifice and inlet valve under compression conditions, and it is judged to have a development application effect.

Ship collision accidents not only endanger the safety of ships and personnel, but also may cause serious marine environmental pollution. To solve this problem, advanced technologies have been developed and applied in the field of intelligent ships in recent years. In this paper, a novel path planning algorithm is proposed based on particle swarm optimization (PSO) to construct a decision-making system for ship's autonomous collision avoidance using the process analysis which combines with the ship encounter situation and the decision-making method based on ship collision avoidance responsibility. This algorithm is designed to avoid both static and dynamic obstacles by judging the collision risk considering bad weather conditions by using BP neural network. When the two ships enter a certain distance, the optimal collision avoidance course and speed of the ship are obtained through the improved collision avoidance decision-making method. Finally, through MATLAB and Visual C++ platform simulations, the results show that the ship collision avoidance decision-making scheme can obtain reasonable optimal collision avoidance speed and course, which can ensure the safety of ship path planning and reduce energy consumption.

수도권에 위치한 S매립장 내 3개의 매립장을 대상으로 매립가스 배출 및 주요 경로별 표면 발산과 관련된 분석을 하였다. 전체 매립가스 발생비율 10.9%인 LS1이 총 표면발산 비중은 49.4%를 차지하고 있었다. 3개 매립장에서의 메탄의 총 표면발산은 13.6 Nm3/min로서, LS1 8.4 Nm3/min (61.7%), LS2 4.0 Nm3/min(29.4%), LS3 1.2 Nm3/min(8.9%)이고, 발산경로별로는 상부 7.3 Nm3/min (53.2%), 사면 6.4 Nm3/min(46.7%), 다이크 0.02 Nm3/min(0.1%)이었다. 3개 매립장의 주요 배출경로 별 산화율은 다이크가 87.5%로 가장 크고, 상부 72.3%, 사면 71.8% 순이었다. 메탄을 기준으로 표면발 산 기여율은 매립장 별로 LS1이 전체의 61.7%로 가장 컸다. 주요 배출경로별로는 LS1의 사면이 전체의 41.7%, LS2의 상부 24.4%, LS1의 상부 20.0%로서 S매립장의 전체 메탄 표면발산량의 86.1%를 차지함 에 따라 향후 집중적인 관리가 필요할 것으로 판단되었다.

To evaluate the safeguards system or performance in a facility, it is crucial to analyze the diversion path for nuclear materials. However, diversion paths can range from the extremely simplified to the complicated depending on the level of knowledge and the specific person conducting the analysis. This study developed the diversion path analysis tools using an event tree and fault tree method to generating diversion paths systematically. The essential components of the diversion path were reviewed, and a logical flow was developed for systematically creating the diversion path. An algorithm was created based on the facility design components and logical flow, as well as the initial information of the nuclear materials and material flows. The event tree and fault tree analysis tools were used to test the path generation algorithm. The usage and limitations of these two logic methods are discussed, and ideas to incorporate the logic algorithm into practical program tools are suggested. The tests were analyzed on a typical light water reactor as an example, including automatic generation of dedicated pathways, configuration of safeguards measures, and analyzing paths with strategies for avoiding safeguard systems. The results led to the development of a draft pathway analyzer program that can be applied to general nuclear systems. The results of this study will be used to develop a program module that can systematically generate diversion paths using the event tree and fault tree method. It can help to guide and provide practical tools for implementing SBD.

이 글은 “미국과 같은 패권국은 왜 국제사법재판소의 창설에 주도적 역할을 했음에도 불구하고 그 권한에 제약을 가하는가, 또 패권국의 주 도로 창설된 국제재판소는 어떻게 패권국의 이익에 반하는 결정을 내리 게 되었는가?”의 질의를 분석한다. 이 글은 이러한 연구질의를 헌정질서 및 역사제도주의 이론을 적용하여 조망·분석한다. 역사제도주의는 특정 시점의 제도적 특성이 과거 시점의 결정적 사건 및 선택에 따른 ‘경로종 속성’에 주목하는 이론인바, 이 글은 특히 국제사법재판소의 기념비적 사 건인 니카라과-로커비 사건에서 작동한 ‘패권국-국제사법재판소 간의 상 호적 경로종속성’을 분석한다. 글의 분석은 국제사법재판소와 같은 사법 기관은 본질적으로 정치권력의 위임에 의해서 탄생하기는 하지만, 일정 한 제도적 성숙과정을 거치면 스스로의 권위와 절차를 가지고 정치권력 에 제약을 가하는 ‘수탁자(Trustee)’의 성격을 가진다는 것을 보여준다. 니카라과-로커비 사건에서 국제사법재판소의 해석 권한 행사는 그러나, 미국 국내 헌정질서 사례와 달리 정치권력의 준수를 이끌어내지 못하며, 사법심사권의 공고화로 이어지지는 못하였다. 이러한 과정은 결국, 패권 국과 국제재판소 간의 ‘상호적 경로종속성’의 작용을 보여주는 것이다.

Path planning is necessary for mobile robots to perform precise and rapid tasks. A collision avoidance function must be included so that the robot can move safely during work, and it must be able to create an optimal path to reduce work execution time and save energy. In this paper, we propose a smart route generation algorithm that searches for global route with an algorithm that can speed up route search and integrates the TEB algorithm that can search for regional optimum routes in real time according to the situation. The performance of the proposed algorithm was verified through actual driving experiments of mobile robots.