Folding Mechanism of Small Proteins

Extensive Monte Carlo folding simulations for four proteins of various structural classes are carried out, using a single atomistic potential. In all cases, collapse occurs at a very early stage, and proteins fold into their native-like conformations at appropriate temperatures. The results demonstrate that the folding mechanism is controlled not only by thermodynamic factors but also by kinetic factors: The way a protein folds into its native structure, is also determined by the convergence point of early folding trajectories, which cannot be obtained by the free energy surface.Comment: 11 pages, 4 figure

Ethics of Father and Son in Ri\u27s 流域へ (Watershed Above) and Kaneshiro\u27s GO

In their article Ethics of Father and Son in Ri\u27s 流域へ (Watershed Above) and Kaneshiro\u27s GO Inseop Shin and Jooyoung Kim discuss the ethics of father and son as they appear in the two novels by Kaisei Ri and Kazuki Kaneshiro. In both narratives the protagonists suffer from ethical conflicts with their fathers during their struggle to find their identities. The father is port-rayed as a figure who determines the ethical choices the protagonists face when they pursue their own lives. Shin and Kim argue that Korean Japanese fiction is a narrative that folds these choices back on oneself. This ultimately connects with the universal theme of literature, namely that each book urges its readers to reexamine their own ethics when they encounter others and their ethics

BEYOND FRIENDSHIP: UNDERSTANDING THE ROLE OF COST IN GIFT CHOICES FOR ONESELF AND OTHERS

This study explores how social closeness and self-identification influence the monetary value of gifts chosen for friends and for oneself. Integrating the Self-expansion Model with Resource Scarcity Theory, we provide insights into consumer behavior in gift selection under varying social and financial contexts

Exploring the effects of contextual factors on home lighting experience

Background Although lighting increasingly penetrates our everyday life due to technology advancement, little is known about how people interact with lighting and how contextual factors impact on the experience. Thus, this study attempted to reveal how two contextual factors (the level of concentration required for pleasant lighting use and social interaction) could influence the manipulation of lighting parameters, particularly focusing on the major factors of lighting such as illuminance, color temperature, and hue. Methods To understand of the interaction between contextual factors and lighting variables, an experiment was conducted. 10 singles and 10 couples had to manipulate lighting variables such as intensity and colorin five everyday situations for pleasant lighting experience. Results The result of the experiment showed that illuminance, color temperature and hue are influenced by the degree of concentration, but only partially influenced by social factors. The findings could provide a better understanding of manipulating lighting variables in terms of use context with design practitioners. Conclusions The overall findings of the study indicate that illuminance, color temperature, and hue are significantly dependent upon the level of concentration required in at-home lighting use, and also have only a partial dependence on social effect. This implies that although we assumed that people have their personal lighting preferences, their preferences can be largely dependent on the degree of concentration required for at-home pleasant lighting use. Hence, there are common patterns among people in manipulating lighting parameters, which are less dependent on personal differences. © Archives of Design Researc

The effect of pandemic and website information on consumers’ perceived satisfaction in the hotel industry: An exploratory study focusing on e-marketplace consumers in South Korea

The emergence of the e-marketplace and the Pandemic have had both large and small effects, especially on the tourism and hotel sector. Although several studies have analyzed consumer satisfaction, the impact of the Pandemic on consumers\u27 satisfaction in the e-marketplace environment has received much less attention. Therefore, this study aims to investigate consumers\u27 perceived satisfaction with their accommodation during the COVID-19 outbreak by analyzing website information provided by consumers and hotels. This study examines star rating as a moderating effect on consumers\u27 perceived satisfaction and the impact of the Pandemic. This study collected data from the Coupang travel platform, one of Korea\u27s largest emarketplaces, and 1,018 responses were used. Based on the OLS regression approach, the results state that consumers\u27 perceived satisfaction differs before and during COVID-19. In addition, there is a moderating effect of star rating, and perceived satisfaction tends to decrease as the star rating increase. Furthermore, the volume of reviews and hashtags that consumers and hotels provide positively affect perceived satisfaction. This study provides new insights into the e-marketplace approach, considering website information in the tourism literature from an e-business perspective

Selective compression learning of latent representations for variable-rate image compression

Recently, many neural network-based image compression methods have shown promising results superior to the existing tool-based conventional codecs. However, most of them are often trained as separate models for different target bit rates, thus increasing the model complexity. Therefore, several studies have been conducted for learned compression that supports variable rates with single models, but they require additional network modules, layers, or inputs that often lead to complexity overhead, or do not provide sufficient coding efficiency. In this paper, we firstly propose a selective compression method that partially encodes the latent representations in a fully generalized manner for deep learning-based variable-rate image compression. The proposed method adaptively determines essential representation elements for compression of different target quality levels. For this, we first generate a 3D importance map as the nature of input content to represent the underlying importance of the representation elements. The 3D importance map is then adjusted for different target quality levels using importance adjustment curves. The adjusted 3D importance map is finally converted into a 3D binary mask to determine the essential representation elements for compression. The proposed method can be easily integrated with the existing compression models with a negligible amount of overhead increase. Our method can also enable continuously variable-rate compression via simple interpolation of the importance adjustment curves among different quality levels. The extensive experimental results show that the proposed method can achieve comparable compression efficiency as those of the separately trained reference compression models and can reduce decoding time owing to the selective compression. The sample codes are publicly available at https://github.com/JooyoungLeeETRI/SCR.Comment: Accepted as a NeurIPS 2022 paper. [Github] https://github.com/JooyoungLeeETRI/SC