Analysis of the Non-Fungible Token Set-up on 4V Theory Focusing on Global Luxury Brands

Sun Fan 사단법인 한국융합기술연구학회 2023 아시아태평양융합연구교류논문지 Vol.9 No.2

Non-fungible token (NFT), as the most influential and representative assets in the metaverse and the brand market, have been used by several brands, thus resulting in the prevalence of NFT collection over the past few years, especially in the context of the metaverse. However, relevant research results have been rare. Some researchers merely conducted an objective study to investigate the artistic value of NFTs. Given that studying NFT collection bears significance to the society, the study analyzed the NFT of luxury brands based on the 4V theory collected data via questionnaire survey, and finally analyzed results using SPSS to verify the reliability of the analysis. It is concluded that the brand exhibits the characteristics of 4V theory in the design of the NFT digital collection. Brands designed using the 4V theory are able to communicate and broaden sensory experiences more effectively. Interaction between the brand and IP image adds sales paths and value, thereby enhancing brand interaction

Where is the TORIC LENS reference mark? Validation of newly developed iPhone App (Toric App) to measure toric lens rotation measurement

Byoung-Sun Chu,Jong-Ha Lee,Fan Chi Shing 대한시과학회 2014 대한시과학회지 학술대회 Vol.2014 No.05

Purpose: This study aimed to investigate the agreement and test-retest repeatability of two methods for measuring magnitude of toric lens rotation. The two methods assessed were using the slit lamp biomicroscope and a newly developed software tool for the iPhone platform called “Toric App” which uses the built-in camera of the iPhone. Methods: Thirty three participants (66 eyes) wore toric lens (silicon hydrogel material with the prism ballast design) both eyes. Two operators, both registered optometrists, measured toric lens rotation using the two methods. One operator used the same method twice for an assessment of test-retest repeatability of each method. Inter- and intra-operator agreement and repeatability were assessed using Bland-Altman analysis. Results: The ninety-five percent confidence intervals (95% CIs) for the limits of agreement between the silt-lamp biomicroscope and Toric App methods was ±9.1 degrees. Measurements using the two different methods showed no statistically significant mean difference (0.40) (paired t-test, p=0.32). Inter-observer agreement of lens rotation was ±7.9 degree (95% CIs) using the slit-lamp microscope and ±7.8 degree using the Toric App. Intra-observer repeatability was ±6.6 degree using the slit lamp microscope and ±6.8 using the Toric App. Conclusions: The results should be considered in view of the fact that toric lenses are not static but move with the blink thus the location of the reference point is unlikely to be at exactly the same location at the different measurement times. Despite this source of variability in the results, the newly developed software tool for iPhone provides clinically comparable performance to slit lamp biomicroscope measurement which does not appear to be operator dependent. This software tool may be a useful for those optometric practices have limited access to a slit-lamp biomicroscop

Color Adjustment Based on Support Vector Regression for Multi-View Video

Huadong Sun,Xuesong Jin,Zhipeng Fan,Lizhi Zhang,Qian Wu 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.1

Significant color discrepancies between the different camera views can be observed in multi-view video sequences. In this paper, a color adjustment algorithm based on support vector regression is proposed. A mapping function is established by extracted feature points from original-image and target-image. Then the mapping function is applied to the original image to obtain the corrected image. Experimental results show that the proposed method can produce good correction result. It also shows that the color differences between multi-view video can be effectively reduced by SVR.

Comparison of Microbial Diversity and Composition in the Jejunum and Colon of Alcohol-Dependent Rats

( Yang Fan ),( Zhao Ya-e ),( Wei Ji-dong ),( Lu Yu-fan ),( Zhang Ying ),( Sun Ya-lun ),( Ma Meng-yu ),( Zhang Rui-ling ) 한국미생물생명공학회(구 한국산업미생물학회) 2018 Journal of microbiology and biotechnology Vol.28 No.11

Alcohol dependence is a global public health problem, yet the mechanisms of alcohol dependence are incompletely understood. The traditional view has been that ethanol alters various neurotransmitters and their receptors in the brain and causes the addiction. However, an increasing amount of experimental evidence suggests that gut microbiota also influence brain functions via gut-to-brain interactions, and may therefore induce the development of alcohol use disorders. In this study, a rat model of alcohol dependence and withdrawal was employed, the gut microbiota composition was analyzed by high-throughput 16S rRNA gene sequencing, and the metagenome function was predicted by PICRUSt software. The results suggested that chronic alcohol consumption did not significantly alter the diversity and richness of gut microbiota in the jejunum and colon, but rather markedly changed the microbiota composition structure in the colon. The phyla Bacteroidetes and eight genera including Bacteroidales S24-7, Ruminococcaceae, Parabacteroides, Butyricimonas, et al were drastically increased, however the genus Lactobacillus and gauvreauii in the colon were significantly decreased in the alcohol dependence group compared with the withdrawal and control groups. The microbial functional prediction analysis revealed that the proportions of amino acid metabolism, polyketide sugar unit biosynthesis and peroxisome were significantly increased in the AD group. This study demonstrated that chronic alcohol consumption has a dramatic effect on the microbiota composition structure in the colon but few effects on the jejunum. Inducement of colonic microbiota dysbiosis due to alcohol abuse seems to be a factor of alcohol dependence, which suggests that modulating colonic microbiota composition might be a potentially new target for treating alcohol addiction.

한,중 경제무역 관계 발전의 현황 및 과제

손일범 ( Yi Fan Sun ) 안양대학교 사회과학연구소 2013 社會科學硏究 Vol.17 No.-

Effect of Sulfur on Microstructures and Solidification Characteristics of a Nickel-Base Single Crystal Superalloy

Shaofeng Chen,Naicheng Sheng,Shigang Fan,Shijie Sun,Guichen Hou,Jinguo Li,Lirong Liu,Yizhou Zhou,Xiaofeng Sun 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.12

The effects of sulfur on the microstructures and solidification characteristics of a second-generation single crystal superalloywere clarified through optical microscope (OM), scanning electron microscope (SEM), differential scanning calorimetry(DSC) and electron probe microanalysis (EPMA). When sulfur was added to the alloy, the area fraction of theeutectic and microporosity decreased with the area fraction of MC carbides increasing. The γ / γ’ eutectic morphologychanged from mosaic + fan + coarse γ’ to mosaic + fan as the sulfur content increased, and very few γ / γ’ eutectic wasfound in the alloy with the highest sulfur content. Moreover, sulfur tended to segregate at the interdendritic regions andform Hf / Cr- rich sulfides, which were adjacent to the carbides or eutectic. This work not only uncovers some sulfideswrapped by eutectic or carbides, but also presents the solidification sequence of the interdendritic regions in high sulfurcontent alloy was discussed.

Study on Leading-phase Operation Capability of a 770 MW Jumbo Hydro-generator based on Stability Analysis and End-Region Heat Analysis

Fan, Zhen-nan,Zhou, Zhi-ting,Li, Jian-fu,Wen, Kun,Wang, Jun,Sun, Zhang,Wang, Tao,Yao, Bing The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.3

A generator-grid coupling calculation model is established to study the leading-phase operational capability of a 770 MW jumbo hydro-generator in a Chinese ultra-mega hydropower station. The static and dynamic stability of the generator are analyzed and calculated to obtain stability limits under leading-phase operating conditions. Three-dimensional (3D) time-varying nonlinear moving electromagnetic and temperature field models of the generator end-region are also established and used to determine the magnetic field, loss, and temperature of the end-region under the leading-phase operating condition. The simulation results agree with data measured from the actual 770 MW hydro-generator. This paper provides reliable reference data for the leading-phase operation of a jumbo hydro-generator, which will help to improve in the design and manufacture of future hydro-generators.

HAUSDORFF OPERATORS ON WEIGHTED LORENTZ SPACES

Sun, Qinxiu,Fan, Dashan,Li, Hongliang The Kangwon-Kyungki Mathematical Society 2018 한국수학논문집 Vol.26 No.1

This paper is dedicated to studying some Hausdorff operators on the Heisenberg group ${\mathbb{H}}^n$. The sharp bounds on the strong-type weighted Lorentz spaces ${\Lambda}^p_u(w)$ and the weak-type weighted Lorentz spaces ${\Lambda}^{p,{\infty}}_u(w)$ are investigated. Especially, the results cover the classical power weighted space $L^{p,q}_{\alpha}$. The results are also extended to the product spaces ${\Lambda}^{p_1}_{u_1}(w_1){\times}{\Lambda}^{p_2}_{u_2}(w_2)$, especially for $L^{p_1,q_1}_{{\alpha}_1}{\times}L^{p_2,q_2}_{{\alpha}_2}$. Our proofs are quite different from those in previous documents since the duality principle, and some well-known inequalities concerning the weights are adopted. The results recover the existing results as well as we obtain new results in the new and old settings.

Tensorial Feed Forward Neural Networks with Random Weights for Gait Recognition Using MPCA Features

Fan Zhang,Ke Sun 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.8

Because of gait sequences are naturally three-dimensional data, there have been several tensorial feature extraction methods to deal with tensors while there are effective tensorial classifiers. In this work, by using a linear tensor projection, a new classifier based on neural networks with random weights is introduced. Due to the proposed algorithm can classify gait samples directly without vectorizing them, the intrinsic structure information of the input data can be reserved. In addition, discriminative features sets are generated using MPCA to ascertain classification accuracy. Finally, Extensive experiments are carried out on two gait databases and results are compared against state-of-the-art techniques. It is demonstrated that the proposed algorithm MPCA plus TNNRE achieves better recognition performance.

Resveratrol Inhibits Oesophageal Adenocarcinoma Cell Proliferation via AMP-activated Protein Kinase Signaling

Fan, Guang-Hua,Wang, Zhong-Ming,Yang, Xi,Xu, Li-Ping,Qin, Qin,Zhang, Chi,Ma, Jian-Xin,Cheng, Hong-Yan,Sun, Xin-Chen Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.2

Resveratrol has been examined in several model systems for potential effects against cancer. Adenosine monophosphate-activated protein kinase (AMPK) is reported to suppress proliferation in most eukaryocyte cells. Whether resveratrol via AMPK inhibits proliferation of oesophageal adenocarcinoma cells (OAC) is unknown. The aim of this study was to determine the roles of AMPK in the protective effects of resveratrol in OAC proliferation and to elucidate the underlying mechanisms. Treatment of cultured OAC derived from human subjects or cell lines with resveratrol resulted in decreased cell proliferation. Further, inhibition of AMPK by pharmacological reagent or genetical approach abolished resveratrol-suppressed OAC proliferation, reduced the level of $p27^{Kip1}$, a cyclin-dependent kinase inhibitor, and increased the levels of S-phase kinase-associated protein 2 (Skp2) of $p27^{Kip1}$-E3 ubiquitin ligase and 26S proteasome activity reduced by resveratrol. Furthermore, gene silencing of $p27^{Kip1}$ reversed resveratrol-suppressed OAC proliferation. In conclusion, these findings indicate that resveratrol inhibits Skp2-mediated ubiquitylation and 26S proteasome-dependent degradation of $p27^{Kip1}$ via AMPK activation to suppress OAC proliferation.