oalib

Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99

Submit

Any time

2020 ( 1 )

2019 ( 8 )

2018 ( 4 )

2017 ( 12 )

Custom range...

Search Results: 1 - 10 of 3655 matches for " Yoon-Sik Yoo "
All listed articles are free for downloading (OA Articles)
Page 1 /3655
Display every page Item
An Ubiquitous Service Mobility Mechanism in the Cross Domain Service Framework  [PDF]
Jung-Sik Sung, Jongmoo Sohn, Yoon-Sik Yoo, Jaedoo Huh
Journal of Software Engineering and Applications (JSEA) , 2012, DOI: 10.4236/jsea.2012.531103
Abstract: Service mobility has become a new issue in the area of service convergence with the advent of versatile mobile devices. Hence, we propose an open service framework with support for service mobility that executes contents and applications in a dynamic environment. For the framework, the concept and role of a device and its application for a service are redefined into the new concepts of device, execution engine, and service. Mechanisms for device profiling, user preference learning, and profile-based service recommendation are designed to enable device-capability-aware service recommendation functionality. Furthermore, a seamless service syndication mechanism is added for continuity and synchronization of service upon change of terminal, network status, or personal preference. A prototype system integrates functionalities with proprietary protocol and a content transcoder to support multiple device platforms. The prototype shows the capability of the framework in service mobility support and its advancement into an open international application platform.
Co-evolution of Selection and Influence in Social Networks
Yoon-Sik Cho,Greg Ver Steeg,Aram Galstyan
Computer Science , 2011,
Abstract: Many networks are complex dynamical systems, where both attributes of nodes and topology of the network (link structure) can change with time. We propose a model of co-evolving networks where both node at- tributes and network structure evolve under mutual influence. Specifically, we consider a mixed membership stochastic blockmodel, where the probability of observing a link between two nodes depends on their current membership vectors, while those membership vectors themselves evolve in the presence of a link between the nodes. Thus, the network is shaped by the interaction of stochastic processes describing the nodes, while the processes themselves are influenced by the changing network structure. We derive an efficient variational inference procedure for our model, and validate the model on both synthetic and real-world data.
Fluorescence-Based Multiplex Protein Detection Using Optically Encoded Microbeads
Bong-Hyun Jun,Homan Kang,Yoon-Sik Lee,Dae Hong Jeong
Molecules , 2012, DOI: 10.3390/molecules17032474
Abstract: Potential utilization of proteins for early detection and diagnosis of various diseases has drawn considerable interest in the development of protein-based multiplex detection techniques. Among the various techniques for high-throughput protein screening, optically-encoded beads combined with fluorescence-based target monitoring have great advantages over the planar array-based multiplexing assays. This review discusses recent developments of analytical methods of screening protein molecules on microbead-based platforms. These include various strategies such as barcoded microbeads, molecular beacon-based techniques, and surface-enhanced Raman scattering-based techniques. Their applications for label-free protein detection are also addressed. Especially, the optically-encoded beads such as multilayer fluorescence beads and SERS-encoded beads are successful for generating a large number of coding.
Effects of research tool patents on biotechnology innovation in a developing country: A case study of South Korea
Kyung-Nam Kang, Tae-Kyu Ryu, Yoon-Sik Lee
BMC Biotechnology , 2009, DOI: 10.1186/1472-6750-9-25
Abstract: The survey results of this study provided some evidence that restricted access problems have occurred even though their frequency was not high. Statistical analysis revealed that difficulties in accessing patented research tools were not negatively correlated with the level of innovation performance and attitudes toward the patent system.On the basis of the results of this investigation in combination with those of previous studies, we concluded that although restricted access problems have occurred, this has not yet deterred innovation in Korea. However, potential problems do exist, and the effects of restricted access should be constantly scrutinized.In a knowledge-based economy, it is assumed that the patent system is an effective incentive mechanism for research and development (R&D), particularly in fields such as biotechnology where innovations have long gestation periods. However, the patent system is an imperfect mechanism because privatization can mitigate these benefits [1]. Recent studies have suggested that too much patenting could potentially deter innovation [1-6]. Concerns about over-patenting and its negative effects are widespread [2], which has prompted researchers to investigate the effects of patents [7-17]. Many of these studies have focused on the field of biotechnology in particular [7-13]. The "upstream" patents in this field have enormous power because inventions cannot be invented around (see Note A) and are of crucial importance to researchers [10].Heller and Eisenberg argued that biomedical innovation has become susceptible to a so called "tragedy of the anticommons," which can emerge when each of the multiple owners of innovations has a right to exclude others from a scarce resource [1,7]. Under these circumstances, transaction costs become too high to collect all the relevant information for further research, which results in an under use of patented biotechnological information [1,2]. Shapiro also raised similar concerns, where he refe
Latent Self-Exciting Point Process Model for Spatial-Temporal Networks
Yoon-Sik Cho,Aram Galstyan,P. Jeffrey Brantingham,George Tita
Computer Science , 2013, DOI: 10.3934/dcdsb.2014.19.1335
Abstract: We propose a latent self-exciting point process model that describes geographically distributed interactions between pairs of entities. In contrast to most existing approaches that assume fully observable interactions, here we consider a scenario where certain interaction events lack information about participants. Instead, this information needs to be inferred from the available observations. We develop an efficient approximate algorithm based on variational expectation-maximization to infer unknown participants in an event given the location and the time of the event. We validate the model on synthetic as well as real-world data, and obtain very promising results on the identity-inference task. We also use our model to predict the timing and participants of future events, and demonstrate that it compares favorably with baseline approaches.
Latent Space Model for Multi-Modal Social Data
Yoon-Sik Cho,Greg Ver Steeg,Emilio Ferrara,Aram Galstyan
Computer Science , 2015,
Abstract: With the emergence of social networking services, researchers enjoy the increasing availability of large-scale heterogenous datasets capturing online user interactions and behaviors. Traditional analysis of techno-social systems data has focused mainly on describing either the dynamics of social interactions, or the attributes and behaviors of the users. However, overwhelming empirical evidence suggests that the two dimensions affect one another, and therefore they should be jointly modeled and analyzed in a multi-modal framework. The benefits of such an approach include the ability to build better predictive models, leveraging social network information as well as user behavioral signals. To this purpose, here we propose the Constrained Latent Space Model (CLSM), a generalized framework that combines Mixed Membership Stochastic Blockmodels (MMSB) and Latent Dirichlet Allocation (LDA) incorporating a constraint that forces the latent space to concurrently describe the multiple data modalities. We derive an efficient inference algorithm based on Variational Expectation Maximization that has a computational cost linear in the size of the network, thus making it feasible to analyze massive social datasets. We validate the proposed framework on two problems: prediction of social interactions from user attributes and behaviors, and behavior prediction exploiting network information. We perform experiments with a variety of multi-modal social systems, spanning location-based social networks (Gowalla), social media services (Instagram, Orkut), e-commerce and review sites (Amazon, Ciao), and finally citation networks (Cora). The results indicate significant improvement in prediction accuracy over state of the art methods, and demonstrate the flexibility of the proposed approach for addressing a variety of different learning problems commonly occurring with multi-modal social data.
Development of patatin knockdown potato tubers using RNA interference (RNAi) technology, for the production of human-therapeutic glycoproteins
Yoon-Sik Kim, Yong-Hwa Lee, Hyun-Soon Kim, Mi-Sun Kim, Kyu-Woong Hahn, Jeong-Heon Ko, Hyouk Joung, Jae-Heung Jeon
BMC Biotechnology , 2008, DOI: 10.1186/1472-6750-8-36
Abstract: Based upon the sequence similarity within the multi-gene family of patatins, a highly conserved target sequence (635 nts) of patatin gene pat3-k1 [GenBank accession no. DQ114421] in potato plants (Solanum tuberosum L.) was amplified for the construction of a patatin-specific hairpin RNAi (hpRNAi) vector. The CaMV 35S promoter-driven patatin hpRNAi vector was transformed into the potato cultivar Desiree by Agrobacterium-mediated transformation. Ten transgenic potato lines bearing patatin hpRNA were generated. The effects of RNA interference were characterized at both the protein and mRNA levels using 1D and 2D SDS/PAGE and quantitative real-time RT-PCR analysis. Dependent upon the patatin hpRNAi line, patatins decreased by approximately 99% at both the protein and mRNA levels. However, the phenotype (e.g. the number and size of potato tuber, average tuber weight, growth pattern, etc.) of hpRNAi lines was not distinguishable from wild-type potato plants under both in vitro and ex vitro growth conditions. During glycoprotein purification, patatin-knockdown potato tubers allowed rapid purification of other potato glycoproteins with less contamination of patatins.Patatin-specific hpRNAi effectively suppressed the expression of a majority of patatin variants in potato tubers via the specific degradation of individual mRNAs of the patatin multi-gene family. More importantly, patatin-knockdown potato tubers appear to be an ideal host for the production of human therapeutic glycoproteins, because they eventually allow fast, easy purification of recombinant proteins, with less contamination from potato glycoprotein patatins.The potato (Solanum tuberosum) is the world's fourth most important crop. Potato tuber proteins are categorized into three groups: patatins, protease inhibitors, and other proteins [1]. Patatins are a family of glycoproteins and represent up to 40% of the total soluble protein in potato tubers [2]. Patatins accumulate in the vacuoles of tubers and leaves a
Gel-type autologous chondrocyte (Chondron?) implantation for treatment of articular cartilage defects of the knee
Nam-Yong Choi, Byoung-Woo Kim, Woo-Jin Yeo, Haeng-Boo Kim, Dong-Sam Suh, Jin-Soo Kim, Yoon-Sik Kim, Yong-Ho Seo, Jea-Yeong Cho, Chung-Woo Chun, Hyun-Shin Park, Asode Shetty, Seok-Jung Kim
BMC Musculoskeletal Disorders , 2010, DOI: 10.1186/1471-2474-11-103
Abstract: Data from 98 patients with articular cartilage injury of the knee joint and who underwent Chondron? implantation at ten Korean hospitals between January 2005 and November 2008, were included and were divided into two groups based on the patient follow-up period, i.e. 13~24-month follow-up and greater than 25-month follow-up. The telephone Knee Society Score obtained during telephone interviews with patients, was used as the evaluation tool.On the tKSS-A (telephone Knee Society Score-A), the score improved from 43.52 ± 20.20 to 89.71 ± 13.69 (P < 0.05), and on the tKSS-B (telephone Knee Society Score-B), the score improved from 50.66 ± 20.05 to 89.38 ± 15.76 (P < 0.05). The total improvement was from 94.18 ± 31.43 to 179.10 ± 24.69 (P < 0.05).Gel-type autologous chondrocyte implantation for chondral knee defects appears to be a safe and effective method for both decreasing pain and improving knee function.As articular cartilage has only limited ability to regenerate, many treatment modalities have been developed during the past several decades to treat symptomatic articular cartilage injuries [1]. Among these treatment modalities, autologous chondrocyte implantation (ACI) has become a standard technique used to repair symptomatic, full-thickness, chondral injuries [2-4].The traditional ACI technique involves injection of cultured autologous cartilage cells into the prepared cartilage defect which is covered by a periosteal flap. The technique requires extensive surgical exposure in order for the sutures to be watertight as well as an additional incision for harvesting the periosteum. In addition, cell leakage, graft detachment, and graft hypertrophy are recognized as potential problems [5].To solve the periosteum-associated problems, many biomaterials have also been used for a new generation of ACI techniques in which cells are combined with bioactive, resorbable biomaterials such as collagen membrance [6], hyaluronan polymer [7], and copolymers of polylactin and pol
Immunolocalization of Ephexin-1 in the Developing Canine Cerebellum  [PDF]
Hyun Sik Park, In Youb Chang, Han Yong Kim, Sang Pil Yoon
Neuroscience & Medicine (NM) , 2014, DOI: 10.4236/nm.2014.51002
Abstract:

Ephexin-1 functions as guanine nucleotide exchange factors for the Rho-type GTPases which have important roles in neuronal development including axon guidance, migration, morphogenesis, and plasticity of neurons. As little is known about ephexin-1 in the cerebellum, we investigated the immunolocalization of ephexin-1 in the developing canine cerebellum. While the cellular maturation was followed by the temporal pattern, the calbindin D-28k and ephexin-1 immunoreactivities gradually increased in developing canine cerebellum. When compared to the calbindin D-28k immunoreactivities, belated ephexin-1 immunolocalization was observed in the Purkinje cells which aligned a single layer during cerebellar development. These results suggest that ephexin-1 might play an important role in the development of the Purkinje cells during the first two postnatal weeks based on its immunolocalization in the present study.

SIP-based Service and Device Portability Across OSGi Domains
Faisal Adeem Siddiqui,Won-Sik Yoon
Information Technology Journal , 2005,
Abstract: As Open Services Gateway Initiative (OSGi) is getting widespread industry support, there is a need for service and device portability across OSGi domains. This will enable the users in one OSGi environs to enjoy the same services when they locomote to other OSGi environs. Users will have access to services not only on their personal devices like mobile phones, PDAs, laptops etc. but also on any available device at the visiting location. We propose a novel architecture for this service and device portability across OSGi domains based on the Session Initiation Protocol (SIP). We outline the requirements and investigate how SIP meets these requirements while other solutions miscarry. Next, we present a lightweight SIP-Agent service in OSGi to enable service and device portability across OSGi domains of home, vehicle and mobile devices. We elaborate by giving example scenarios and SIP message flows based on OSGi reference architecture. Our OSGi enabled SIP-Agent service can either be the part of the framework or can be downloaded like any other OSGi service.
Page 1 /3655
Display every page Item


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.