• 제목/요약/키워드: Complex numbers

검색결과 444건 처리시간 0.051초

아토피 피부염 외용제에 관련된 국내 임상 및 실험 논문 고찰 (Review of Clinical and Experimental Studies on External Application Treatment for Atopic Dermatitis in the Korean Literature)

  • 민들레;박은정;강경하
    • 대한한방소아과학회지
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    • 제27권1호
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    • pp.36-49
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    • 2013
  • Objectives The goal of this review is to investigate clinical and experimental studies on external application treatment for atopic dermatitis in Korean literature and to propose for the better method of clinical studies in order to seek more effective treatment. Methods Electronic researches were performed with KTKP, OASIS, National Assembly Library, Korean Medicine Database, KISS, DBpia, and KISTI. Results and Conclusions In Twenty six studies, the numbers of clinical and experimental studies are respectively 10 (38.46%) and 16 (61.54%). The numbers of studies that used herbal complex were 20 (76.92%), and out of that, 6 studies had used a single herbal medicine (23.08%). The external application with oriental medicine for the atopic dermatitis used with Phellodendri Cortex (7), Sophorae Radix (6), Scutellariae Radix (6), Lonicerae Flos (5), Coptidis Rhizoma (5) and so on. Among the clinical studies, the 5 studies were double-blind and randomized-controlled study (50%). The numbers of studies that used Hanifin and Rajka Diagnostic Criteria (1980) were 6 (60%), and that used the Diagnostic Criteria in Korean Atopic Dermatitis (2005) were 4 (40%). Among the clinical studies, categories to evaluate of atopic dermatitis are respectively SCORAD Index (80%), Total IgE (80%), Eosinophil count (70%) and so on. All of the clinical studies (100%) showed a statistically significant decline in atopic dermatitis according to the SCORAD Index, Modified SCORAD Index, the Clinic index score. Among the experimental studies, the numbers of studies that used NC/Nga mice were 9 (56.25%), and out of that 5 studies used BALB/c mice (31.25%). Most of the studies (68.75%) used DNCB as allergy inducing materials. The scales for evaluation of atopic dermatitis were Clinical skin severity score, Histopathologic examination, Immunohematologic examination, safety test and so on. In 12 cases (75%) of experimental studies, the IgE level of experimental group showed a statistically significant decline after using external application. In 8 study cases (50%), Clinical skin severity score of experimental group showed a statistically significant decline after using external application.

Molecular Breeding of Genes, Pathways and Genomes by DNA Shuffing

  • Stemmer, Willem P.C.
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제7권3호
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    • pp.121-129
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    • 2002
  • Existing methods for optimization of sequences by random mutagenesis generate libraries with a small number of mostly deleterious mutations, resulting in libraries containing a large fraction of non-functional clones that explore only a small part of sequence space. Large numbers of clones need to be screened to find the rare mutants with improvements. Library display formats are useful to screen very large libraries but impose screening limitations that limit the value of this approach for most commercial applications. By contrast, in both classical breeding and in DNA shuffling, natural diversity is permutated by homologous recombination, generating libraries of very high quality, from which improved clones can be identified with a small number of complex screens. Given that this small number of screens can be performed under the conditions of actual use of the product, commercially relevant improvements can be reliably obtained.

Cellular Automata Transform based Invisible Digital Watermarking in Middle Domain for Gray Images

  • Li, Xiao-Wei;Kim, Seok-Tae
    • Journal of information and communication convergence engineering
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    • 제9권6호
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    • pp.689-694
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    • 2011
  • Cellular automata are discrete dynamical systems, which provide the basis for the synthesis of complex emergent behavior. This paper proposes a new algorithm of digital watermarking based on cellular automata transform (CAT). The idea of two-dimensional CAT is introduced into the algorithm. After the original image is disassembled with 2D CAT, the watermark information is embedded into the Middle-frequency of the carrier picture. Cellular automata have a huge number of combinations, such as gateway values, rule numbers, initial configuration, boundary condition, etc. Using CAT, the robustness of the watermark will be tremendous strengthened as well as its imperceptibility. Experimental results show that this algorithm can resist some usual attacks such as compression, sharpening and so on. The proposed method is robust to different attacks and is more security.

회전원판의 진행파 모드 절직경 수 규명-방향성 주파수응답함수의 이용 (Identification of Diametrical Node Number of Travelling Wave Modes is Rotating Disk-Use of Directional Frequency Response Function)

  • 김명업;이종원
    • 대한기계학회논문집A
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    • 제20권3호
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    • pp.960-967
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    • 1996
  • Directional frequency response functions(dFRFs) are introduced for isotropic rotating disks, treating pairs of excitations and measurements as the complex input and output, respectively. It is shown that the dFRFs can be effectively used for separation of the forward and backward travelling wave modes and identification of the diametrical node numbers associated with modes of interst. Numerical simuations and experimental works are performed to demonstrate the analytical development and its validity.

NMR Studies of Metal-binding Luteinizing Hormone Releasing Hormone

  • Won, Ho-Shik
    • Bulletin of the Korean Chemical Society
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    • 제32권11호
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    • pp.4021-4026
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    • 2011
  • Functions of the luteinizing hormone releasing hormone (LHRH) and its induced release by divalent metal ions have received great attention because this neurotransmitter subsequently regulates the secretion of luteinizing hormone (LH). Metal-LHRH complexes were synthesized by addition of various Cu(II),Ni(II),Zn(II) ions into LHRH in order to understand how the induced release of LHRH is possible. The degree of complexation was monitored by $^1H$, $^{13}C$-NMR chemical shifts, and final products were identified by Mass spectrometry. Solutionstate structure determination of Zn(II)-LHRH out of metal-complexes was accomplished by using NMR and NMR-based distance geometry (DG). Interproton distance information from nuclear Overhauser effect spectroscopy was utilized for structure determination. Structure obtained in this study has a cyclic conformation exhibiting a specific ${\alpha}$-helical turn with residue numbers His[2]-Leu[7] out of 10 amino acids. Comparison of chemical shifts and EPR studies of Ni(II),Cu(II)-LHRH complexes exhibit that these metal complexes have 4-coordination geometry.

Uncertainty Analysis of Concrete Structures Using Modified Latin Hypercube Sampling Method

  • Yang, In-Hwan
    • International Journal of Concrete Structures and Materials
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    • 제18권2E호
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    • pp.89-95
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    • 2006
  • This paper proposes a modified method of Latin Hypercube sampling to reduce the variance of statistical parameters in uncertainty analysis of concrete structures. The proposed method is a modification of Latin Hypercube sampling method. This analysis method uses specifically modified tables of random permutations of ranked numbers. In addition, the Spearman coefficient is used to make modified tables. Numerical analysis is carried out to predict the uncertainty of axial shortening in prestressed concrete bridge. Statistical parameters obtained from modified Latin Hypercube sampling method and conventional Latin Hypercube sampling method are compared and evaluated by a numeric analysis. The results show that the proposed method results in a decrease in the variance of statistical parameters. This indicates the method is efficient and effective in the uncertainty analysis of complex structural system such as prestressed concrete bridges.

A Selective Induction Framework for Improving Prediction in Financial Markets

  • Kim, Sung Kun
    • Journal of Information Technology Applications and Management
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    • 제22권3호
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    • pp.1-18
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    • 2015
  • Financial markets are characterized by large numbers of complex and interacting factors which are ill-understood and frequently difficult to measure. Mathematical models developed in finance are precise formulations of theories of how these factors interact to produce the market value of financial asset. While these models are quite good at predicting these market values, because these forces and their interactions are not precisely understood, the model value nevertheless deviates to some extent from the observable market value. In this paper we propose a framework for augmenting the predictive capabilities of mathematical model with a learning component which is primed with an initial set of historical data and then adjusts its behavior after the event of prediction.

유아교육기관 실외놀이 시설 설비 실태와 안전평가에 관한 연구 (A Study on Actual Conditions of Outdoor Facilities Safety in Kindergarten Playground)

  • 이희선;최미란
    • 대한가정학회지
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    • 제45권10호
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    • pp.97-111
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    • 2007
  • This study examined the actual conditions of outdoor facilities and evaluated safety evaluations levels in playgrounds based on types of kindergartens. The samples for the survey were 100 kindergartens in Seongnam city Gyeonggi-Do province. Most outdoor facilities consisted of playgrounds with sand area and complex playing equipments, while wood-working area, sensory playing area, and mud playing area were less equipped than other facilities. In the case of outdoor playing facilities there were meaningful environmental differences within kindergartens. The public has less diversity in play areas and equipments and providing safety guidelines in playgrounds than privates. The score for the safety evaluations in the outdoor play environment was higher than average. As the range outdoor playing facilities increased, safety was dually considered, while kindergartens with a higher ratio of child-teacher numbers exhibited less consideration to playground safety.

Prediction of Quantitative Traits Using Common Genetic Variants: Application to Body Mass Index

  • Bae, Sunghwan;Choi, Sungkyoung;Kim, Sung Min;Park, Taesung
    • Genomics & Informatics
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    • 제14권4호
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    • pp.149-159
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    • 2016
  • With the success of the genome-wide association studies (GWASs), many candidate loci for complex human diseases have been reported in the GWAS catalog. Recently, many disease prediction models based on penalized regression or statistical learning methods were proposed using candidate causal variants from significant single-nucleotide polymorphisms of GWASs. However, there have been only a few systematic studies comparing existing methods. In this study, we first constructed risk prediction models, such as stepwise linear regression (SLR), least absolute shrinkage and selection operator (LASSO), and Elastic-Net (EN), using a GWAS chip and GWAS catalog. We then compared the prediction accuracy by calculating the mean square error (MSE) value on data from the Korea Association Resource (KARE) with body mass index. Our results show that SLR provides a smaller MSE value than the other methods, while the numbers of selected variables in each model were similar.

음성기술을 이용한 정신피로 측정에 관한 타당성 연구 (A Validity Study on Measurement of Mental Fatigue Using Speech Technology)

  • 송승규;김종열;장준수;권철홍
    • 말소리와 음성과학
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    • 제5권1호
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    • pp.3-10
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    • 2013
  • This study proposes a method to measure mental fatigue using speech technology, which has not been used in previous research and is easier than existing complex and difficult methods. It aims at establishing a relationship between the human voice and mental fatigue based on experiments to measure the influence of mental fatigue on the human voice. Two monotonous tasks of simple calculation such as finding the sum of three one digit numbers were used to measure the feeling of monotony and two sets of subjective questionnaires were used to measure mental fatigue. While thirty subjects perform the experiment, responses to the questionnaire and speech data were collected. Speech features related to speech source and the vocal tract filter were extracted from the speech data. According to the results, speech parameters deeply related to mental fatigue are a mean and standard deviation of fundamental frequency, jitter, and shimmer. This study shows that speech technology is a useful method for measuring mental fatigue.