• Macromolecular Research
• /
• v.15 no.7
• /
• pp.633-639
• /
• 2007

A variety of NMR techniques were applied to the micro-chemical structural characterization of polyanilines prepared via an efficient synthetic method in a self-stabilized dispersion medium in which the polymerization was conducted in a heterogeneous organic/aqueous biphasic system without any stabilizers. Here, the monomer and growing polymer chain were shown to function simultaneously as a stabilizer, imparting compatibility for the dispersion of the organic phase, and as a form of flexible template in an aqueous reaction medium. Polymerizations predicated on this concept generated polyanilines with a low defect content: solution state $^{13}C-NMR$ and solid $^{13}CDD/CP/MAS$ spectroscopy indicated that the synthesized HCPANi and its soluble derivative, HCPANi-t-BOC, evidenced distinctly different NMR spectra with fewer side peaks, as compared to conventionally prepared PANis, and the complete structural assignments of the observed NMR peaks could be determined via the combination of both 1D and 2D techniques. Ortho-linked defects in HCPANi were estimated to be as low as 7%, as shown by a comparison of the integration of the carbonyl carbon resonance peaks.

• Journal of the Korea Organic Resources Recycling Association
• /
• v.22 no.2
• /
• pp.44-49
• /
• 2014

In order to remove the heavy metals from synthetic wastewater containing Pb, Cr, and Cd, the experiment was conducted with a variety of concentration and pH by using the washed and dried coffee grounds as adsorbent. Almost of the heavy metals were removed in thirty minutes and the removal efficiency was maximized to the 80 percents following the different pH conditions. Furthermore, in the case of Cr, the removal efficiency was declined with the increasing of pH. As a result of this study, coffee grounds is proved to be a very good adsorbent to remove the heavy metals.

• The Journal of the Convergence on Culture Technology
• /
• v.6 no.2
• /
• pp.455-460
• /
• 2020

As computer hardware and computer graphics technologies have developed in recent years, one can find research on the creation of bubbles. However, it is not easy to find soap bubbles that are modeled and rendered using actual physical parameters. The bubbles are expressed in a variety of models and colors depending on which tool is used, which strength is used, and the conditions of the surrounding environment. Therefore, in this paper, we present synthetic methods to create virtual soap bubbles based on physical parameters derived from some straws such as the bubbles' diameter over time and the number of bubbles when blowing. On the top of that, we will show a model of a soap bubble that can be usable in a virtual reality contents and optimized with rendering parameters.

• Journal of Digital Convergence
• /
• v.18 no.8
• /
• pp.427-433
• /
• 2020

Based on the natural colors and techniques of Korean traditional Dancheong, the image from splendor and magnificence is used as a jewel in making ornaments by subjective interpretation of the researcher. The purpose of this paper is to propose the possibility of using as a jewelry design by combining the possibilities of various color expressions, the combination of solidity and luster synthetic resin by utilizing natural pigments and mono images used in Korean traditional monophonic. In this study, this study presented the possibility of accessing in the life of a modern person pursuing a lifestyle by introducing a mono image into jewelry design, and at the same time, approaching ornaments by using traditional materials of the past, modern materials, and digital production methods. We are looking for a wide variety of jewelry designs to be utilized.

• The Journal of the Korean dental association
• /
• v.48 no.4
• /
• pp.275-279
• /
• 2010

Dental implant restoration in partial or full edentulous state has become the standard treatment in recent years. Bone graft with guided bone regeneration technique has been regarded as one of the most reliable methods to restore the bone defect area due to periodontal disease or dental trauma. Bone graft materials and membrane are the essential component of guided bone regeneration; however, a variety of bone graft materials confuse us in implant dentistry. Autogenous bone is the recognized standards in implant dentistry owing to its osteogenesis potential. Despite of its disadvantages, grafting autogenous bone is the most reliable methods. Even though the development of new bone grafts materials, autogenous bone is useful in exposed implant thread and total lack of buccal or lingual bone. Allogenic, xenogenic and synthetic bone have the osteoconductive and osteoinductive potential. These materials could be used successfully in self-contained cavity such as sinus cavity and three-wall defects. In this article, application of bone graft material is suggested according to the function of bone graft materials.

• Genomics & Informatics
• /
• v.2 no.2
• /
• pp.92-98
• /
• 2004

A cDNA microarray experiment is one of the most useful high-throughput experiments in medical informatics for monitoring gene expression levels. Statistical analysis with a cDNA microarray medical data requires a normalization procedure to reduce the systematic errors that are impossible to control by the experimental conditions. Despite the variety of normalization methods, this. paper suggests a more general and synthetic normalization algorithm with a control gene set based on previous studies of normalization. Iterative normalization method was used to select and include a new control gene set among the whole genes iteratively at every step of the normalization calculation initiated with the housekeeping genes. The objective of this iterative normalization was to maintain the pattern of the original data and to keep the gene expression levels stable. Spatial plots, M&A (ratio and average values of the intensity) plots and box plots showed a convergence to zero of the mean across all genes graphically after applying our iterative normalization. The practicability of the algorithm was demonstrated by applying our method to the data for the human photo aging study.

• Journal of Environmental Health Sciences
• /
• v.31 no.4 s.85
• /
• pp.254-259
• /
• 2005

Permethrin, a synthetic pyrethroid insecticide, has been widely used to protect domestic animals and the public health, as well as in agriculture against a variety of pests, which provides potential for environmental exposure. Permethrin is classified as possible human carcinogen and endocrine disrupting chemical by many international authorities. However, its developmental effects have been rarely studied. This study investigated the effects of permethrin during embryo-genesis. Developmental toxicity of permethrin was evaluated using short-term in vitro battery system. Gestation day 9.5 rat embryos (organogenesis) were cultured with permethrin (0.1,0.4 and 0.8 mg/ml) for 48 hours using whole embryo culture system. All the treatments exhibited significant decreases in the total morphological score. Permethrin induced significant growth retardation and the developmental abnormality at doses of 0.4 and 0.8 mg/ml. Moreover, the DNA and protein contents of embryos decreased in dose-dependent manner. These observations suggest that permethrin contributes to toxicity on embryonic developments in rats.

• Journal of Information Processing Systems
• /
• v.11 no.3
• /
• pp.421-437
• /
• 2015

This paper aims to present a supervised classification algorithm based on data fusion for the segmentation of the textured images. The feature extraction method we used is based on discrete wavelet transform (DWT). In the segmentation stage, the estimated feature vector of each pixel is sent to the support vector machine (SVM) classifier for initial labeling. To obtain a more accurate segmentation result, two strategies based on information fusion were used. We first integrated decision-level fusion strategies by combining decisions made by the SVM classifier within a sliding window. In the second strategy, the fuzzy set theory and rules based on probability theory were used to combine the scores obtained by SVM over a sliding window. Finally, the performance of the proposed segmentation algorithm was demonstrated on a variety of synthetic and real images and showed that the proposed data fusion method improved the classification accuracy compared to applying a SVM classifier. The results revealed that the overall accuracies of SVM classification of textured images is 88%, while our fusion methodology obtained an accuracy of up to 96%, depending on the size of the data base.

• Mass Spectrometry Letters
• /
• v.13 no.4
• /
• pp.115-124
• /
• 2022

Emerging evidence has shown that RNA-binding proteins (RBPs) dynamically regulate all aspects of RNA in cells and involve in major biological processes of RNA, including splicing, modification, transport, transcription and degradation. RBPs, as powerful and versatile regulatory molecule, are essential to maintain cellular homeostasis. Perturbation of RNA-protein interactions and aberration of RBPs function is associated with diverse diseases, such as cancer, autoimmune disease, and neurological disorders. Therefore, it is crucial to systematically investigate the RNA-binding proteome for understanding interactions of RNA with proteins. Thanks to the development of the mass spectrometry, a variety of proteome-wide methods have been explored to define comprehensively RNA-protein interactions in recent years and thereby contributed to speeding up the study of RNA biology. In this review, we systematically described these methods and summarized the advantages and disadvantages of each method.

• The Bulletin of The Korean Astronomical Society
• /
• v.45 no.1
• /
• pp.68.3-69
• /
• 2020

We develop a series of N-body data challenges, functional to the final analysis of the extended Baryon Oscillation Spectroscopic Survey (eBOSS) Data Release 16 (DR16) galaxy sample, primarily based on high-fidelity catalogs constructed from the Outer Rim simulation. We generate synthetic galaxy mocks by populating Outer Rim halos with a variety of halo occupation distribution (HOD) schemes of increasing complexity, spanning different redshift intervals. We then assess the performance of three complementary redshift space distortion (RSD) models in configuration and Fourier space, adopted for the analysis of the complete DR16 eBOSS sample of Luminous Red Galaxies (LRGs). We find that all the methods are mutually consistent, with comparable systematic errors on the Alcock-Paczynski parameters and the growth of structure, and robust to different HOD prescriptions - thus validating the robustness of the models and the pipelines used for the baryon acoustic oscillation (BAO) and full shape clustering analysis. Our study is relevant for the final eBOSS DR16 'consensus cosmology', as the systematic error budget is informed by testing the results of analyses against these high-resolution mocks. In addition, it is also useful for future large-volume surveys, since similar mock-making techniques and systematic corrections can be readily extended to model for instance the DESI galaxy sample.