831 research outputs found
Understanding telemedicine service usersâ perceptions: A text mining analysis on social media discussion
Telemedicine has drawn noticeable attention due to the advancement of information technology, and it saw a surge in popularity during the COVID-19 pandemic. This study is aimed at understanding telemedicine usersâ perceptions on their care services, as well as identifying the aspects of telemedicine that can be improved to enhance usersâ experience and satisfaction. Specifically, we utilized a topic modeling approach with Latent Dirichlet Allocation (LDA) to analyze telemedicine-related discussion posts on Reddit to discover the topics and themes that telemedicine service users are interested in, as well as the perceptions that users have of those topics and themes. 11 topics and 6 themes were discovered by the LDA algorithm. Lastly, we provide our suggestions and insights on how telemedicine services and practitioners can implement the themes, as well as directions for future study
Numerical analysis of dielectric micro-particle motion in a fluid and electric field
We present numerical analysis of a coupled problem composed of fluidics,
electromagnetic and particle dynamics. The forces acting on the dielectric micro-particle
consist of a dielectrophoretic(DEP) force, drag force and gravitational force in the proposed
analysis model. DEP force and drag force are calculated using the distribution of the electric
field and fluid velocity field to analyze the characteristic of the micro-particle motion. The
forces exerted by each field are driving terms in the Newtonâs equation for particle motion.
The designed particle separating device, which has the one inlet and the two outlets, is
simulated to validate proposed numerical scheme. The analysis results show the trace of the
micro-particles can be analyzed using the proposed numerical approach
What Information Propagates among the Public when an Initial Coin Offering (ICO) is Initiated? A theory-driven approach
Since the popularity of blockchain-based cryptocurrency investments has increased among the public, people have directly purchased cryptocurrency through the cryptocurrency market or joined initial coin offering (ICO) projects. This research explores what informational cues are captured before, during, and after ICO projects that can be considered as signals and a fulfillment of information asymmetry. We adopted two theoretical underpinnings to achieve our research goal - agency and signaling theory. Using information from Twitter, we selected the best-performing ICO project based on the highest return on investment (ROI). Then, we extracted 5,085 tweets related to the selected ICO project. Tweets are categorized by pre-ICO, during and post-ICO, by topic, and dispersion. Analyzing the tweets, we found multiple categories of informational cues for each ICO project. Implications and limitations are discussed
WILL NFTS BE THE BEST DIGITAL ASSET FOR THE METAVERSE?
The purpose of the current research is to explore the concept of non-fungible tokens created by blockchain technology and its applicability in the Metaverse. Metaverse is a hypothesized and an iteration of the real world. Metaverse is not a new concept. The concept itself has appeared in the 1990s and some of the online games tried to realize the Metaverse world (e.g., Second Life and Cyworld). Nowadays, Metaverse becomes feasible under supported by technologies, including virtual reality, augmented reality, cloud computing, Internet-of-Things, 5G, and Big Data. In Metaverse, there is no doubt that residents in Metaverse may trade or transact assets or goods with one another. Our research tries to tie the concept of non-fungible tokens in Metaverse as the best digital asset to secure the originality of the goods in Metaverse. Detailed discussions are made in the following section
Understanding User-Perceived Values of Mobile Streaming Service By Cognitive Mapping
So-called, cable âcord-cuttingâ phenomenon (Tefertiller, 2018), or watching video/TV contents over streaming service is currently considered as an industry-wide trend. Deloitte reported 55 percent of household in the U.S. is subscribing to at least one video streaming service, which is worth $2.1 billion a month (Wang, 2018). On top of the web-based streaming service to watch video or TV content, mobile-based streaming services are not uncommon anyway for many content consumers. Although such streaming services are getting popular in the mobile industry, very few academic research efforts have made so far to understand the values of the mobile streaming services, perceived by contents consumers over other traditional media channels. Hence, the current study aims to investigate the user-perceived values of mobile-based streaming services through the lens of socio-cognitive method. By using the cognitive mapping as a socio-cognitive method rooted from the theory of social representations (Durkheim, 1898; Wagner el al., 1996; Jung et al, 2009; Jung, 2013), our study explores the values that are associated with the mobile streaming services. To achieve the goal, we have collected data using a web-based survey from 432 users of mobile streaming services. They were asked to provide three words or short phrases that best describe mobile streaming services they currently use. As a next step of the study, authors will code data to extract concepts and analyze them using the cognitive mapping method including similarities calculation and core/peripheral concepts identification process. Finally, the structure of the perceptual map will be interpreted by the social representation framework. We look forward to finding the structure of cognitive map based on the mobile streaming usersâ perceptions, and it eventually reveals the relationships among the perceived values (e.g., core/peripheral, positive/negative elements, etc.) associated with the mobile streaming services. Potential findings of our study is expected to contribute to both practitioners and academic scholars who are involved in mobile streaming services through 1) better understanding of the values of the services appreciated by the users, and 2) thus being able to emphasize its importance in the future marketing / service development efforts
Roles of lysine-specific demethylase 1 (LSD1) in homeostasis and diseases
Abstract
Lysine-specific demethylase 1 (LSD1) targets mono- or di-methylated histone H3K4 and H3K9 as well as non-histone substrates and functions in the regulation of gene expression as a transcriptional repressor or activator. This enzyme plays a pivotal role in various physiological processes, including development, differentiation, inflammation, thermogenesis, neuronal and cerebral physiology, and the maintenance of stemness in stem cells. LSD1 also participates in pathological processes, including cancer as the most representative disease. It promotes oncogenesis by facilitating the survival of cancer cells and by generating a pro-cancer microenvironment. In this review, we discuss the role of LSD1 in several aspects of cancer, such as hypoxia, epithelial-to-mesenchymal transition, stemness versus differentiation of cancer stem cells, as well as anti-tumor immunity. Additionally, the current understanding of the involvement of LSD1 in various other pathological processes is discussed.This work was supported by Creative Research Initiatives Programs (Research Science Research Center Program (Cellular Heterogeneity Research Center, NRF-2016 R1A5A1011974) to K.I.K.; Young Researcher Program (NRF2019R1C1C1004022) to D.K. from the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT
Fabrication and characterization of silicon wire solar cells having ZnO nanorod antireflection coating on Al-doped ZnO seed layer
In this study, we have fabricated and characterized the silicon [Si] wire solar cells with conformal ZnO nanorod antireflection coating [ARC] grown on a Al-doped ZnO [AZO] seed layer. Vertically aligned Si wire arrays were fabricated by electrochemical etching and, the pn junction was prepared by spin-on dopant diffusion method. Hydrothermal growth of the ZnO nanorods was followed by AZO film deposition on high aspect ratio Si microwire arrays by atomic layer deposition [ALD]. The introduction of an ALD-deposited AZO film on Si wire arrays not only helps to create the ZnO nanorod arrays, but also has a strong impact on the reduction of surface recombination. The reflectance spectra show that ZnO nanorods were used as an efficient ARC to enhance light absorption by multiple scattering. Also, from the current-voltage results, we found that the combination of the AZO film and ZnO nanorods on Si wire solar cells leads to an increased power conversion efficiency by more than 27% compared to the cells without it. © 2012 Baek et al.1
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