Exploring highly efficient, and low-cost oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) catalysts is extremely vital for the commercial application of advanced energy storage and conversion devices. Herein, a series of graphene-like C2N supported TMx@C2N, (TM = Fe, Co, Ni, and Cu, x = 1, 2) single- and dual-atom catalysts are designed. Their catalytic performance is systematically evaluated by means of spin-polarized density functional theory (DFT) computations coupled with hydrogen electrode model. Regulating metal atom and pairs can widely tune the catalytic performance. The most promising ORR/OER bifunctional activity can be realized on Cu2@ C2N with lowest overpotential of 0.46 and 0.38 V for ORR and OER, respectively. Ni2@ C2N and Ni@C2N can also exhibit good bifunctional activity through effectively balancing the adsorption strength of intermediates. The correlation of reaction overpotential with adsorption free energy is well established to track the activity and reveal the activity origin, indicating that catalytic activity is intrinsically governed by the adsorption strength of reaction intermediates. The key to achieve high catalytic activity is to effectively balance the adsorption of multiple reactive intermediates by means of the synergetic effect of suitably screened bimetal atoms. Our results also demonstrate that lattice strain can effectively regulate the adsorption free energies of reaction intermediates, regarding it as an efficient strategy to tune ORR/OER activity. This study could provide a significant guidance for the discovery and design of highly active noble-metal-free carbon-based ORR/OER catalysts.

In the nuclear fuel cycle (NFC) facilities, the failure of Heating Ventilation and Air Conditioning (HVAC) system starts with minor component failures and can escalate to affecting the entire system, ultimately resulting in radiological consequences to workers. In the field of air-conditioning and refrigerating engineering, the fault detection and diagnosis (FDD) of HVAC systems have been studied since faults occurring in improper routine operations and poor preventive maintenance of HVAC systems result in excessive energy consumption. This paper aims to provide a systematic review of existing FDD methods for HVAC systems therefore explore its potential application in nuclear field. For this goal, typical faults and FDD methods are investigated. The commonly occurring faults of HVAC are identified through various literature including publications from International Energy Agency (IEA) and American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE). However, most literature does not explicitly addresses anomalies related to pressure, even though in nuclear facilities, abnormal pressure condition need to be carefully managed, particularly for maintaining radiological contamination differently within each zone. To build simulation model for FDD, the whole-building energy system modeling is needed because HVAC systems are major contributors to the whole building’s energy and thermal comfort, keeping the desired environment for occupants and other purposes. The whole-building energy modeling can be grouped into three categories: physics-based modeling (i.e., white-box models), hybrid modeling (i.e., grey-box models), and data-driven modeling (i.e., black-box models). To create a white-box FDD model, specialized tools such as EnergyPlus for modeling can be used. The EnergyPlus is open source program developed by US-DOE, and features heat balance calculation, enabling the dynamic simulation in transient state by heat balance calculation. The physics based modeling has the advantage of explaining clear cause-and-effect relationships between inputs and outputs based on heat and mass transfer equations, while creating accurate models requires time and effort. Creating a black-box FDD model requires a sufficient quantity and diverse types of operational data for machine learning. Since operation data for HVAC systems in existing nuclear cycle facilities are not fully available, so efforts to establish a monitoring system enabling the collection, storage, and management of sensor data indicating the status of HVAC systems and buildings should be prioritized. Once operational data are available, well-known machine learning methods such as linear regression, support vector machines, random forests, artificial neural networks, and recurrent neural networks (RNNs) can be used to classify and diagnose failures. The challenge with black-box models is the lack of access to failure data from operating facilities. To address this, one can consider developing black-box models using reference failure data provided by IEA or ASHRAE. Given the unavailability of operation data from the operating NFC facilities, there is a need for a short to medium-term plan for the development of a physics-based FDD model. Additionally, the development of a monitoring system to gather useful operation data is essential, which could serve both as a means to validate the physics-based model and as a potential foundation for building data-driven model in the long term.

The buffer is installed around the disposal canister, subjected to heating due to decay heat while simultaneously experiencing expansion influenced by groundwater inflow from the surrounding rock. The engineering barrier system for deep geological disposal require the evaluation of longterm evolution based on the verification of individual component performance and the interactions among components within the disposal environment. Thus, it is crucial to identify the thermalhydro- mechanical-chemical (THMC) processes of the buffer and assess its long- and short-term stability based on these interactions. Therefore, we conducted experimental evaluations of saturationswelling, dry heating, gas transport, and mineralogical alterations that the buffer may undergo in the heated-hydration environment. We simulated a 310 mm-thick buffer material in a cylindrical form, simulating the domestic disposal system concept of KRS+ (the improved KAERI reference disposal system for spent nuclear fuel), and subjected it to the disposal environment using heating cartridges and a hydration system. To monitor the thermal-hydro-mechanical behavior within the buffer material, load cells were installed in the hydration section, and both of thermal couples and relative humidity sensors were placed at regular intervals from the heat source. After 140 days of heating and hydration, we dismantled the experimental cell and conducted post-mortem analyses of the samples. In this post-mortem analysis, we performed functions of distance from the water contents, heat source, wet density, dry density, saturation, and X-Ray diffraction analysis (XRD). The results showed that after 140 days in the heated-hydration environment, the samples exhibited a significant decrease water contents and saturation near the heat source, along with very low wet and dry densities. XRD Quantitative Analysis did not indicate mineralogical changes. The findings from this study are expected to be useful for input parameters and THMC interaction assessments for the long-term stability evaluation of buffer in deep geological disposal.

Metaverse tourism is blurring the boundaries between the virtual and physical worlds. Among the core technologies in the metaverse world (e.g., Avatar, Virtual reality, Augmented reality, NFTs, etc.), the avatar has the potential power to revolutionise customer experience. Destination management organisation (DMO) can boost customers’ immersion through effective avatar customer journey design (ACJD) in the metaverse world. Yet, there is a lack understanding of how practitioners view an effective ACJD in the metaverse world. This study aims to explore the role of avatars on customer journey design in a metaverse tourism program (e.g., Dunhuang) from practitioners’ perspectives through a qualitative study. This study advances theoretical understanding about metaverse tourism in the tourism literature, and provides important implications for tourism industry on how to design tourist experiences in metaverse tourism.

Lately, Raman spectroscopy has become powerful tool for quality assessment of graphene analogues with identification of intensity ratio of Raman active D-band and G-band ( ID/IG ratio) as a vital parameter for quantification of defects. However, during chemical reduction of graphitic oxide (GrO) to reduced GrO (RGrO), the increased ID/ IG ratio is often wrongly recognized as defect augmentation, with “formation of more numerous yet smaller size sp2 domains” as its explanation. Herein, by giving due attention to normalized peak height, full-width half-maxima and integrated peak area of Raman D- and G-bands, and compliment the findings by XRD data, we have shown that in-plane size of sp2 domains actually increases upon chemical reduction. Particularly, contrary to increased ID/ IG ratio, the calculated decrease in integrated peak area ratio ( AD/AG ratio) in conjunction with narrowing of D-band and broadening of G-band, evinced the decrease in in-plane defects. Finally, as duly supported by reduction induced broadening of interlayer-spacing characteristic XRD peak and narrowing of ~ 43° centered XRD hump, we have also shown that the sp2 domains actually expands in size and the observed increase in ID/ IG ratio is indeed due to increase in across-plane defects, formed via along-the-layer slicing of graphitic domains.

이 논문에서는 인간의 삶에 관한 예이츠의 비전을 살펴본다. 인간의 삶은 과거에서 현재로, 그리고 미래로 시간을 이어주는 가교 역할을 한다. 예이츠에 따 르면, 과거는 보고 들은 것, 현재는 이미지, 그리고 미래는 영혼의 시간대이며 존재의 합일화가 이루어지는 시간대이기도 하다. 여기까지 보면 예이츠는 인간의 삶 자체에는 의미를 두지 않는 것처럼 보인다. 하지만 선택을 통해 영혼의 자유로운 시간은 다시 보고 들을 준비를 한다. 이렇게 인간의 삶은 과거와 현재를 미래로 연결해 나아가면서 세상을 구성해간다. 즉, 인간의 삶은 커다란 의미를 갖는다.

Understanding consumer insight in luxury watch purchase is crucial in the current situation where the industry is recovering from a downturn. Today, the consumer does not only purchase a luxury watch to impress others as in the past. Using the means end chain approach, this study discovers that branding, together with design, function and price are key attributes that customers consider. Consequently, the consumer benefits from having a sense of personal identification. In addition, today the consumer perceives the benefit of luxury watch purchase as an investment. Therefore, they seek product distinction, durability, and a value-work product, in order, to serve the perceived value of capital investment. The results of the study reflect a changing trend in the luxury consumer. Prestige value is not the only key factor determining the purchase decision as was found in previous studies. Therefore, the luxury watch players, in an effort to elicit increased sales, should consistently build the brand profile by offering both functionality and design. Furthermore, communication of focus on quality leads to durability that would be considered as an investment asset from generation to generation. Introduction In the luxury watch industry, despite the start of a recovery, from a downward trend, the growth rate is forecast to be at a slow pace (ReportLinker, 2017; Deloitte, 2016). The global luxury watch players face the challenge of decreasing demand as per the change in consumer behavior (Financial Time, 2017). Like other luxury goods, the luxury watch is considered as a product that is not entirely necessary but the drive behind the buying intention is due solely to the personal desire of the consumer In addition, individual perception as well as consumer purchasing power, has a strong link with decision making. Why a consumer buys a luxury watch today is rather different from why they bought one ten years ago (Adams, 2017). This study is conducted in order to understand luxury watch consumer insight using the means end theory, in ways of appropriation, and examine variations in consumer willingness-to-pay (Gengler & Mulvey, 2017). Luxury consumption behavior There are numerous studies to be found that explore luxury product consumption starting from extrinsic themes like consumer purchasing power (e.g. Veblen, 1899), consumer characteristics (e.g.Dubois & Laurent, 1993); (O'cass & McEwen, 2004), consumer behavior (Vigneron & Johnson, 1999; Kastanakis, & Balabanis, 2012) to intrinsic themes like consumer motivation (e.g.Xiao-hui, 2006; Truong & McColl, 2011), consumer perception (e.g. Zhan & He, 2012; Vigneron & Johnson, 2017) and at a more subjective level of consumer value (Sukhdial, Chakraborty, & Steger, 1995; Moraes, Carrigan, Bosangit, Ferreira, & McGrath, 2017; Vigneron, & Johnson, 2017). This is because the nature of the consumer has changed. The current consumer does not view purchasing a luxury item as a vehicle to impress others but much more to serve their own perspectives (Wiedmann, Hennigs & Siebels, 2009). Thus to cope with this downtrend, it is necessary, nowadays, for luxury brand suppliers to have a deep and detailed understanding of customer insight. Means end chain theory (MEC) and laddering MEC has been regarded as one of the most felicitous theories in consumer research since 1980 (Grunert et al. 2001). It was developed to help understand consumer insight in the decision making process (Gengler, Mulvey, & Oglethorpe, 1999) starting from how the consumer thinks about a product and why they buy it. Through MEC (Olson and Reynolds, 1983; Gutman, 1982; Howard, 1977; Young and Feigin, 1975), the researcher and marketer can discover the salient meanings consumers associate with products, both in services and behavior. The chain explains the linkage; starting from attributes through to consequences, and then to values in the form of a hierarchial model Gutman, 1982; Gengler, Mulvey, & Oglethorpe, 1999; Leao and Mello, 2007). Beginning with the first level, attributes are characteristics of the product/service the consumer is expecting which can be both tangible and non-tangible features. However, attributes will mean nothing to the consumer, without so called consequences (Klenosky, 2002). At the second level of the hierarchical model, consequences are benefits that take part in explaining why those attributes are important to consumers (Olson and Reynolds, 1983). The consumer is looking for particulars benefits when purchasing that certain product or service (Voss and Gruber, 2006). The final level is value. The consumer judges the benefit of the product based on the perceived value, in the mind of the customer (Gutman, 1982; Olson and Reynolds, 1983; Costa, Dekker, and Jongen, 2004). It is notable that the higher the hierarchial level, the greater the level of abstraction (Woodruff & Gardial, 1996). Using the MEC helps gain consumer insight information which allows the luxury brand supplier to offer products which are best suited for their targeted consumers (Petison, Thongthou and Lekmoung, 2012). Methodology By its nature, the MEC is adopted as a qualitative research method. In order to understand why a consumer is interested in a product and makes a purchasing decision (Smith and Swinyard, 1999); the decision making process can be revealed using the laddering interview (Gutman, 1982; Olson & Reynolds, 1983; Ozguven, 2012). Through the laddering interview, researchers decide to apply a soft laddering interview; an open answer question, rather than hard laddering interview; or a fixed answer question, to enjoy the benefits of go by the flow (Ozguven, 2012). Furthermore, soft laddering interview is well suited to the elite in a sense that interviewer can adjust questions depending on answers and ambience (Harvey, 2011). In this study a total of 30 luxury watch consumers; 18 females and 12 males, who recently bought luxury watches in 2017 were interviewed. This is because the researchers want to obtain the most up to date information. This group of consumers tended to purchase a luxury watch every year. The most popular brands these consumers purchased are Rolex, Patek Philippe, Panerai and Audemars Piguet. In face to face time, a semi structure interview was applied based on Reynolds and Gutmam (2001), who suggested questions such as; What affects your purchasing decision?, How do you feel about the product? Why do you want to wear this watch? etc. All interviews were recorded and verbatim transcripts produced. Content analyses were applied following the interviews. The preliminary categorization was into groups of attribute consequence and value, and recurring words with similar meanings collected in clusters. Research triangulation was applied to ensure validity. The researchers created a hierarchical value chain for each consumer then analyzed the findings by using LaddermapTM software. Results According to the content analysis process, a total of 28 attributes, 22 consequences, and 15 values were found in the study. Through the LaddermapTM software analysis only 7 attributes, 11 consequences, and 9 values can be reported as in figure 1. Figure 1: Hierarchial value map of luxury watch purchase Brand is the most important attribute from the viewpoint of the luxury consumer followed by design, price and function. For example, one consumer mentioned that “…brand helps one who wears it by identification…it reflects a certain lifestyle…wearing a Rolex is easy to take care of because of its quality as well as the ease to wear on any occasion…it is value for money… but more than this as it constantly appreciates in value.…” In addition, brand is a key attribute that leads to two most important consequences which are personal identification and investment. However, impressing others, which used to be a key rationale for purchasing luxury product is found to be absent from the top consumer benefits nowadays. However, today, luxury brand consumers are more concerned with distinction, durability, and value-work product as a consequence of watch purchase. For example, one consumer said that “…normally, women do not wear Pannarai. I love to be different…so I bought a limited edition….I wear it constantly for both work and leisure activities…although the price is high, I feel secure with the price paid…it has a warranty and good after- sales service…” Among reported values, monetary satisfaction is found to be the most the important followed by self- image and pleasure. For example, one consumers said that “…I always buy Rolex…my parents also use Rolex. From my parent’s experience of use, it was made aware that the Rolex is fabulous due to its quality and resale price. …I have never ever changed my mind about Rolex…it is excellent value as an investment…I am happy and satisfied with the money I have spent…” This study also found other consumers who expressed their satisfaction with money invested in comparison with another investment options such as gold or stocks. Moreover, it is an investment that can be passed on to their children. Discussions and Implications Nowadays, brand, design, price and function are the key attributes that luxury consumers focus on. Luxury brand suppliers should pay particular attention to a design that reflects the unique identity of the brand and distinguishes it from competitors. This is a consistent finding of Subhadip, Jain, &Matta (2018) that the luxury product ought to reflect its own creativity, artistry, and uniqueness. Moreover, consumers prefer a luxury watch that offers various functions that they can be used with ease on any occasion. In addition, the luxury consumer does not only purchase a watch that represents their self-image and bring in pleasure value, but also monetary satisfaction which is found to be most important nowadays so that the luxury watch player should advertise their brand based on this distinctive study finding. Durability is a reflection of quality brand. Warranty is the linkage between quality and value for money. Monetary satisfactory also comes from the benefits of investment and a generation to generation heritage.

Despite numerous errors already revealed in Shuo Wen Jie Zi by Xu Shen in Eastern Han dynasty, it is still considered to be an important literature in Chinese character studies. This study utilizes tools, such as mathematical functions, set and logic, to look into Shuo Wen Jie Zi from a new perspective. Through this approach, one can get a macro-scale tendency or trend. At the same time, one can pin-point numerous micro-scale errors. This study firstly defines functions that constitute the framework, and then processes the entire data set within Shuo Wen Jie Zi, addressing the topics associated with it.