• 제목/요약/키워드: Interaction Features

검색결과 729건 처리시간 0.032초

Interaction of Native and Apo-carbonic Anhydrase with Hydrophobic Adsorbents: A Comparative Structure-function Study

  • Salemi, Zahra;Hosseinkhani, Saman;Ranjbar, Bijan;Nemat-Gorgani, Mohsen
    • BMB Reports
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    • 제39권5호
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    • pp.636-641
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    • 2006
  • Our previous studies indicated that native carbonic anhydrase does not interact with hydrophobic adsorbents and that it acquires this ability upon denaturation. In the present study, an apo form of the enzyme was prepared by removal of zinc and a comparative study was performed on some characteristic features of the apo and native forms by far- and near-UV circular dichroism (CD), intrinsic fluorescent spectroscopy, 1-anilino naphthalene-8-sulfonate (ANS) binding, fluorescence quenching by acrylamide, and Tm measurement. Results indicate that protein flexibility is enhanced and the hydrophobic sites become more exposed upon conversion to the apo form. Accordingly, the apo structure showed a greater affinity for interaction with hydrophobic adsorbents as compared with the native structure. As observed for the native enzyme, heat denaturation of the apo form promoted interaction with alkyl residues present on the adsorbents and, by cooling followed by addition of zinc, catalytically-active immobilized preparations were obtained.

A Novel Interaction Method for Mobile Devices Using Low Complexity Global Motion Estimation

  • Nguyen, Toan Dinh;Kim, JeongHwan;Kim, SooHyung;Yang, HyungJeong;Lee, GueeSang;Chang, JuneYoung;Eum, NakWoong
    • ETRI Journal
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    • 제34권5호
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    • pp.734-742
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    • 2012
  • A novel interaction method for mobile phones using their built-in cameras is presented. By estimating the path connecting the center points of frames captured by the camera phone, objects of interest can be easily extracted and recognized. To estimate the movement of the mobile phone, corners and corresponding Speeded-Up Robust Features descriptors are used to calculate the spatial transformation parameters between the previous and current frames. These parameters are then used to recalculate the locations of the center points in the previous frame into the current frame. The experiment results obtained from real image sequences show that the proposed system is efficient, flexible, and able to provide accurate and stable results.

분산 협업 환경에서의 콘텐츠 공유 모델 (Contents Sharing Model in Distributed Collaboration Environment)

  • 허혜정;이주영
    • 한국컴퓨터정보학회논문지
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    • 제19권5호
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    • pp.79-87
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    • 2014
  • 본 논문에서는 분산된 협업 환경을 통합하는 콘텐츠 공유 모델을 제안한다. 확장 가능한 고해상도 디스플레이 자원, 로컬 및 원격 콘텐츠 공유, 다중 사용자 상호작용 및 접근제어 특성들을 통합하여 결합된 하나의 모델을 제공한다. 다중 사용자의 상호 작용은 모든 사용자가 상호 작용이 가능하다는 이점이 있지만, 그로 인해 오버랩이 발생할 수 있다. 그 오버랩을 관리하기 위해 접근 제어를 모델에 적용했으나 작업 흐름의 방해가 가능하다. 따라서 이 두 가지 사항을 중점으로 모델을 평가하기 위해 상호작용성에 대한 이용자 연구를 실시했다. 그 결과를 바탕으로 제안된 콘텐츠 공유 모델은 상호작용과 그 흐름을 방해 하지 않아 작업에 집중할 수 있는 분산 협업 환경을 제공한다.

A Protein-Protein Interaction Extraction Approach Based on Large Pre-trained Language Model and Adversarial Training

  • Tang, Zhan;Guo, Xuchao;Bai, Zhao;Diao, Lei;Lu, Shuhan;Li, Lin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권3호
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    • pp.771-791
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    • 2022
  • Protein-protein interaction (PPI) extraction from original text is important for revealing the molecular mechanism of biological processes. With the rapid growth of biomedical literature, manually extracting PPI has become more time-consuming and laborious. Therefore, the automatic PPI extraction from the raw literature through natural language processing technology has attracted the attention of the majority of researchers. We propose a PPI extraction model based on the large pre-trained language model and adversarial training. It enhances the learning of semantic and syntactic features using BioBERT pre-trained weights, which are built on large-scale domain corpora, and adversarial perturbations are applied to the embedding layer to improve the robustness of the model. Experimental results showed that the proposed model achieved the highest F1 scores (83.93% and 90.31%) on two corpora with large sample sizes, namely, AIMed and BioInfer, respectively, compared with the previous method. It also achieved comparable performance on three corpora with small sample sizes, namely, HPRD50, IEPA, and LLL.

Paramyrothecium eichhorniae sp. nov., Causing Leaf Blight Disease of Water Hyacinth from Thailand

  • Pinruan, Umpawa;Unartngam, Jintana;Unartngam, Arm;Piyaboon, Orawan;Sommai, Sujinda;Khamsuntorn, Phongsawat
    • Mycobiology
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    • 제50권1호
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    • pp.12-19
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    • 2022
  • Paramyrothecium eichhorniae sp. nov. was observed and collected from Chiang Mai and Phetchaburi Provinces, Thailand. This new species is introduced based on morphological and molecular evidence. This fungus is characterized by its production of sporodochium conidiomata with a white setose fringe surrounding an olivaceous green to dark green slimy mass of conidia, penicillately branched conidiophores, and aseptate and cylindrical to ellipsoid conidia. Phylogenetic analyses of combined LSU rDNA, ITS rDNA, tef1, rpb2, tub2 and cmdA sequence data using maximum parsimony, maximum likelihood and Bayesian approaches placed the fungus in a strongly supported clade with other Paramyrothecium species in Stachybotryaceae (Hypocreales, Sordariomycetes). The descriptions of the species are accompanied by illustrations of morphological features, and a discussion of the related taxa is presented.

명시적 및 암시적 피드백을 활용한 그래프 컨볼루션 네트워크 기반 추천 시스템 개발 (Developing a Graph Convolutional Network-based Recommender System Using Explicit and Implicit Feedback)

  • 이흠철;김동언;이청용;김재경
    • 한국IT서비스학회지
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    • 제22권1호
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    • pp.43-56
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    • 2023
  • With the development of the e-commerce market, various types of products continue to be released. However, customers face an information overload problem in purchasing decision-making. Therefore, personalized recommendations have become an essential service in providing personalized products to customers. Recently, many studies on GCN-based recommender systems have been actively conducted. Such a methodology can address the limitation in disabling to effectively reflect the interaction between customer and product in the embedding process. However, previous studies mainly use implicit feedback data to conduct experiments. Although implicit feedback data improves the data scarcity problem, it cannot represent customers' preferences for specific products. Therefore, this study proposed a novel model combining explicit and implicit feedback to address such a limitation. This study treats the average ratings of customers and products as the features of customers and products and converts them into a high-dimensional feature vector. Then, this study combines ID embedding vectors and feature vectors in the embedding layer to learn the customer-product interaction effectively. To evaluate recommendation performance, this study used the MovieLens dataset to conduct various experiments. Experimental results showed the proposed model outperforms the state-of-the-art. Therefore, the proposed model in this study can provide an enhanced recommendation service for customers to address the information overload problem.

지오지브라를 이용한 3차원 구조물의 모델링 교육과 응용 (Education and Application of Modeling on 3D Structure using Geogebra)

  • 정태은;김태환
    • 한국CDE학회논문집
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    • 제20권2호
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    • pp.93-103
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    • 2015
  • In this study, we organize and explain various ways to construct 3D models in the 2D plane using Geogebra, mathematical education software that enables us to visualize dynamically the interaction between algebra and geometry. In these ways, we construct three unit vectors for 3 dimensions at a point on the Cartesian coordinates, on the basis of which we can build up the 3D models by putting together basic mathematical objects like points, lines or planes. We can apply the ways of constructing the 3 dimensions on the Cartesian coordinates to modeling of various structures in the real world, and have chances to translate, rotate, zoom, and even animate the structures by means of slider, one of the very important functions in Geogebra features. This study suggests that the visualizing and dynamic features of Geogebra help for sure to make understood and maximize learning effectiveness on mechanical modeling or the 3D CAD.

개별요소법에 의한 사면 안정성 연구(토플링 파괴 메카니즘에 응용) (Analysis of Slope Stability by the Distinct Element Method(Application to the Toppling Mechanisms))

  • 한공창
    • 터널과지하공간
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    • 제3권1호
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    • pp.96-107
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    • 1993
  • This paper deals with the analysis of rock slope stability using the distinct element method. This method consists in analysis of the interaction of discrete block assemblage delimited by elementary joints, which permits to consider the heterogeneous, anisotropic and discontinuous features of the rock mass. In particular, we were able to show that this method, and especially the BRIG3D software, is an outstanding tool which gives informations of greatest interest in order to analyze the toppling mechanisms. We have confirmed the fundamental role of the rock mass structure with different simulations. In the case of toppling phenomena, the essential parameter is the dip of major discontinuities. It has an influence on the intensity and volume of deformations. The anisotropic and heterogeneous features of the rock mass play also an important role. It is proved by insertion of thick rock bars in the structure or varying rock block sizes in the mass. These models modified considerably the stress distribution and the deformation distribution. Finally, we have analyzed the influence of mechanical parameters such as friction angle and tangential stiffness.

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Interacting or Just Acting? -A Case Study of European, Korean, and American Politicians' Interactions with the Public on Twitter

  • Otterbacher, Jahna;Shapiro, Matthew A.;Hemphill, Libby
    • Journal of Contemporary Eastern Asia
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    • 제12권1호
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    • pp.5-20
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    • 2013
  • Social media holds the potential to facilitate vertical political communication by giving citizens the opportunity to interact directly with their representatives. However, skeptics claim that even when politicians use "interactive media," they avoid direct engagement with constituents, using technology to present a façade of interactivity instead of a genuine dialogue. This study explores how elected officials in three regions of the world are using Twitter to interact with the public. Using the Twitter activity of 15 officials over a period of six months, we show that in addition to the structural features of Twitter that are designed to promote interaction, officials rely on language to foster or to avoid engagement. We also provide evidence that the existence of interactive features does not guarantee interactivity.

Adaptive B-spline volume representation of measured BRDF data for photorealistic rendering

  • Park, Hyungjun;Lee, Joo-Haeng
    • Journal of Computational Design and Engineering
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    • 제2권1호
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    • pp.1-15
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    • 2015
  • Measured bidirectional reflectance distribution function (BRDF) data have been used to represent complex interaction between lights and surface materials for photorealistic rendering. However, their massive size makes it hard to adopt them in practical rendering applications. In this paper, we propose an adaptive method for B-spline volume representation of measured BRDF data. It basically performs approximate B-spline volume lofting, which decomposes the problem into three sub-problems of multiple B-spline curve fitting along u-, v-, and w-parametric directions. Especially, it makes the efficient use of knots in the multiple B-spline curve fitting and thereby accomplishes adaptive knot placement along each parametric direction of a resulting B-spline volume. The proposed method is quite useful to realize efficient data reduction while smoothing out the noises and keeping the overall features of BRDF data well. By applying the B-spline volume models of real materials for rendering, we show that the B-spline volume models are effective in preserving the features of material appearance and are suitable for representing BRDF data.