• 제목/요약/키워드: enrichment functions

검색결과 83건 처리시간 0.02초

Combination of isogeometric analysis and extended finite element in linear crack analysis

  • Shojaee, S.;Ghelichi, M.;Izadpanah, E.
    • Structural Engineering and Mechanics
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    • 제48권1호
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    • pp.125-150
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    • 2013
  • This paper intends to present an application of isogeometric analysis in crack problems. An isogeometric formula is developed based on NURBS basis functions - enriched and adopted via X-FEM enrichment functions. The proposed method which is represented by the combination of the two above-mentioned methods, first by using NURBS functions models the geometry exactly and then by defining level set function on domain, identifies available discontinuity in elements. Additional DOFs are allocated to elements containing the crack and X-FEM enrichment functions enrich approximate solution. Moreover, a subelement refinement technique is used to improve the accuracy of integration by the Gauss quadrature rule. Finally, several numerical examples are illustrated to demonstrate the effectiveness, robustness and accuracy of the proposed method during calculation of crack parameters.

Towards improving finite element solutions automatically with enriched 2D solid elements

  • Lee, Chaemin;Kim, San
    • Structural Engineering and Mechanics
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    • 제76권3호
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    • pp.379-393
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    • 2020
  • In this paper, we propose an automatic procedure to improve the accuracy of finite element solutions using enriched 2D solid finite elements (4-node quadrilateral and 3-node triangular elements). The enriched elements can improve solution accuracy without mesh refinement by adding cover functions to the displacement interpolation of the standard elements. The enrichment scheme is more effective when used adaptively for areas with insufficient accuracy rather than the entire model. For given meshes, an error for each node is estimated, and then proper degrees of cover functions are applied to the selected nodes. A new error estimation method and cover function selection scheme are devised for the proposed adaptive enrichment scheme. Herein, we demonstrate the proposed enrichment scheme through several 2D problems.

Discovery of Cellular RhoA Functions by the Integrated Application of Gene Set Enrichment Analysis

  • Chun, Kwang-Hoon
    • Biomolecules & Therapeutics
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    • 제30권1호
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    • pp.98-116
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    • 2022
  • The small GTPase RhoA has been studied extensively for its role in actin dynamics. In this study, multiple bioinformatics tools were applied cooperatively to the microarray dataset GSE64714 to explore previously unidentified functions of RhoA. Comparative gene expression analysis revealed 545 differentially expressed genes in RhoA-null cells versus controls. Gene set enrichment analysis (GSEA) was conducted with three gene set collections: (1) the hallmark, (2) the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and (3) the Gene Ontology Biological Process. GSEA results showed that RhoA is related strongly to diverse pathways: cell cycle/growth, DNA repair, metabolism, keratinization, response to fungus, and vesicular transport. These functions were verified by heatmap analysis, KEGG pathway diagramming, and direct acyclic graphing. The use of multiple gene set collections restricted the leakage of information extracted. However, gene sets from individual collections are heterogenous in gene element composition, number, and the contextual meaning embraced in names. Indeed, there was a limit to deriving functions with high accuracy and reliability simply from gene set names. The comparison of multiple gene set collections showed that although the gene sets had similar names, the gene elements were extremely heterogeneous. Thus, the type of collection chosen and the analytical context influence the interpretation of GSEA results. Nonetheless, the analyses of multiple collections made it possible to derive robust and consistent function identifications. This study confirmed several well-described roles of RhoA and revealed less explored functions, suggesting future research directions.

전처리된 켤레구배법의 전체-국부 확장함수를 지닌 일반유한요소해석에의 응용 (Application of the Preconditioned Conjugate Gradient Method to the Generalized Finite Element Method with Global-Local Enrichment Functions)

  • 최원정;김민숙;김대진;이영학;김희철
    • 한국전산구조공학회논문집
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    • 제24권4호
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    • pp.405-412
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    • 2011
  • 본 논문에서는 켤레구배법을 이용해 전체-국부 확장함수를 지닌 일반유한요소법을 해석하는 방식을 제안한다. 이 기법은 편미분방정식의 해에 대한 정보가 충분하지 않은 경우에도 수치해석적인 방법으로 일반유한요소법의 확장함수를 구성할 수 있으며, 해석과정 중 약간의 추가적인 연산만으로 좋은 성능을 지닌 전처리행렬 및 초기 추측치를 구성할 수 있어 국부적으로 복잡한 거동을 보이는 문제의 해석에 효과적이다. 본 논문에 포함된 수치해석 예제의 결과는 제안된 기법이 가우스 소거법과 같은 직접 솔버를 이용하는 경우보다 수치해석적으로 더 효율적임을 보여준다.

Enrichment Strategies for Identification and Characterization of Phosphoproteome

  • Lee, Sun Young;Kang, Dukjin;Hong, Jongki
    • Mass Spectrometry Letters
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    • 제6권2호
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    • pp.31-37
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    • 2015
  • Phosphorylation upon protein is well known to a key regulator that implicates in modulating many cellular processes like growth, migration, and differentiation. Up to date, grafting of multidimensional separation techniques onto advanced mass spectrometry (MS) has emerged as a promising tool for figuring out the biological functions of phosphorylation in a cell. However, advanced MS-based phosphoproteomics is still challenging, due to its intrinsic issues, i.e., low stoichiometry, less susceptibility in positive ion mode, and low abundance in biological sample. To overcome these bottlenecks, diverse techniques (e.g., SCX, HILIC, ERLIC, IMAC, TiO2, etc.) are continuously developed for on-/off-line enrichment of phosphorylated protein (or peptide) from biological samples, thereby helping qualitative/quantitative determination of phosphorylated protein and its phosphorylated sites. In this review, we introduce to the overall views of enrichment tools that are universally used to selectively isolate targeted phosphorylated protein (or peptide) from ordinary ones before MS-based phospoproteomic analysis.

환경보강프로그램이 시설노인의 인지기능에 미치는 효과 (The Effects of Environmental Enrichment Program on Cognitive Function among Institutionalized Elderly)

  • 소희영
    • 성인간호학회지
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    • 제17권1호
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    • pp.128-138
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    • 2005
  • Purpose: As population of elderly people continues to grow, successful aging has risen to the top of the nursing science agenda. The successful aging includes maintenance of the cognitive and physical functions, as well as emotional well-beings. This study was carried out to evaluate effects of the environmental enrichments on cognition of institutionalized elderly. Method: The population was selected among the elderly aging over 65 residing at two of institutions. A quasi experimental design was used with non-equivalent control group. Study subjects were thirteen for each group. For the experimental group, physical, social and symbolic environmental enrichment program was provided for six weeks. The data were analyzed by repeated measure ANOVA and repeated measure ANCOVA using SPSS Win 11.0. Result: Compared to control group, the experimental group showed a significant difference on DSF(F=3.29, p=.046), and TMTA(F=4.76, p=.013) of cognitive function, and depression (F=5.56, p=.007) of emotional distress after 1 and 12 weeks of environmental enrichment program. Conclusion: Findings indicate that physical, social, and symbolic environmental enrichment was effective to partially prevent from cognitive decline, and to decrease emotional distress of elderly. As a nursing intervention, environmental enrichment program for elderly should be expanded for nursing practice to promote healthy aging and to offer support to the growing population of elderly. Further research should be conducted to evaluate the effect on the community elderly.

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A Comprehensive Review of Recent Advances in the Enrichment and Mass Spectrometric Analysis of Glycoproteins and Glycopeptides in Complex Biological Matrices

  • Mohamed A. Gab-Allah;Jeongkwon Kim
    • Mass Spectrometry Letters
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    • 제15권1호
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    • pp.1-25
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    • 2024
  • Protein glycosylation, a highly significant and ubiquitous post-translational modification (PTM) in eukaryotic cells, has attracted considerable research interest due to its pivotal role in a wide array of essential biological processes. Conducting a comprehensive analysis of glycoproteins is imperative for understanding glycoprotein bio-functions and identifying glycosylated biomarkers. However, the complexity and heterogeneity of glycan structures, coupled with the low abundance and poor ionization efficiencies of glycopeptides have all contributed to making the analysis and subsequent identification of glycans and glycopeptides much more challenging than any other biopolymers. Nevertheless, the significant advancements in enrichment techniques, chromatographic separation, and mass spectrometric methodologies represent promising avenues for mitigating these challenges. Numerous substrates and multifunctional materials are being designed for glycopeptide enrichment, proving valuable in glycomics and glycoproteomics. Mass spectrometry (MS) is pivotal for probing protein glycosylation, offering sensitivity and structural insight into glycopeptides and glycans. Additionally, enhanced MS-based glycopeptide characterization employs various separation techniques like liquid chromatography, capillary electrophoresis, and ion mobility. In this review, we highlight recent advances in enrichment methods and MS-based separation techniques for analyzing different types of protein glycosylation. This review also discusses various approaches employed for glycan release that facilitate the investigation of the glycosylation sites of the identified glycoproteins. Furthermore, numerous bioinformatics tools aiding in accurately characterizing glycan and glycopeptides are covered.

Revolution of the TFT LCD Technology

  • Liu, C.T.
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2006년도 6th International Meeting on Information Display
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    • pp.4-4
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    • 2006
  • Since the introduction of TFT LCDs in portable personal computers (notebooks) in the early 1990's, the TFT LCD industry has experienced several waves of technology revolution: (1) product introduction, (2) performance enrichment, (3) power utilization and material utilization, and (4) human-interface functions.

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헤비사이드 강화를 이용한 구조물의 아이소-지오메트릭 위상 최적설계 (Isogeometric Topological Shape Optimization of Structures using Heaviside Enrichment)

  • 안승호;조선호
    • 한국전산구조공학회논문집
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    • 제26권1호
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    • pp.79-87
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    • 2013
  • 레벨셋방법과 헤비사이드 강화를 이용한 아이소-지오메트릭 위상최적설계 방법을 개발하였다. 레벨셋 방법에서는 초기해석영역은 고정되어 있으며 경계는 레벨셋 함수값을 이용한 암시적인 동적 경계로 표현되며, 이는 복잡한 위상적 변화를 용이하게 표현할 수 있게 한다. 헤비사이드 강화는 기존의 기저함수에 내부 경계를 표현하는 강화 함수를 더함으로써 아이소-지오메트릭 해석법의 정밀도를 향상시킨다. 제안된 위상 최적설계 방법은 다음과 같은 이점을 갖는다. 아이소-지오메트릭 해석법을 이용하여 정밀한 기하 형상을 얻을 수 있으며 텐서 곱을 이용하여 정의된 패치의 한계를 헤비사이드 강화를 이용함으로써 해결할 수 있다. 단일 패치를 사용함으로써 연속적인 응력 분포를 얻어낼 수 있을 뿐 아니라 불연속적인 변위장 또한 표현해 낼 수 있다. 레벨셋 방법론이 암시적 동적 경계를 잘 표현하기 때문에 이를 이용하여 헤비사이드 강화를 이용한 아이소-지오메트릭 해석법에서 위상의 변화를 잘 표현해 낼 수 있다.

Prediction of hub genes of Alzheimer's disease using a protein interaction network and functional enrichment analysis

  • Wee, Jia Jin;Kumar, Suresh
    • Genomics & Informatics
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    • 제18권4호
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    • pp.39.1-39.8
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    • 2020
  • Alzheimer's disease (AD) is a chronic, progressive brain disorder that slowly destroys affected individuals' memory and reasoning faculties, and consequently, their ability to perform the simplest tasks. This study investigated the hub genes of AD. Proteins interact with other proteins and non-protein molecules, and these interactions play an important role in understanding protein function. Computational methods are useful for understanding biological problems, in particular, network analyses of protein-protein interactions. Through a protein network analysis, we identified the following top 10 hub genes associated with AD: PTGER3, C3AR1, NPY, ADCY2, CXCL12, CCR5, MTNR1A, CNR2, GRM2, and CXCL8. Through gene enrichment, it was identified that most gene functions could be classified as integral to the plasma membrane, G-protein coupled receptor activity, and cell communication under gene ontology, as well as involvement in signal transduction pathways. Based on the convergent functional genomics ranking, the prioritized genes were NPY, CXCL12, CCR5, and CNR2.