• Title/Summary/Keyword: Unfolding

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Mathematical investigation activity through folding and unfolding paper crane (종이학을 접고 펼친 흔적을 통한 수학탐구활동)

  • Kwon Young-In;Suh Be-Euk
    • Communications of Mathematical Education
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    • v.20 no.3 s.27
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    • pp.469-482
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    • 2006
  • It ill give much interest both to the teacher and student that paper crane makes interesting mathematical investment possible. It is really possible for the middle school students to invest mathematical activity such as the things about triangle and square, resemblance, Pythagorean theorem. I reserched how this mathematical investment possible through folding and unfolding paper crane and analyzed the mathematical meaning.

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Understanding β-Hairpin Formation: Computational Studies for Three Different Hairpins

  • Lee, Jin-Hyuk;Shin, Seok-Min
    • Bulletin of the Korean Chemical Society
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    • v.29 no.4
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    • pp.741-748
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    • 2008
  • We have studied the folding mechanism of $\beta$ -hairpins in the proteins 1GB1, 3AIT and 1A2P by conducting unfolding simulations at moderately high temperatures. The analysis of trajectories obtained from molecular dynamics simulations in explicit aqueous solution suggests that the positions of the hydrophobic core residues lead to subtle differences in the details of folding dynamics. However, the folding of three different hairpins can be explained by a unified mechanism that is a blend of the hydrogen-bond-centric and the hydrophobiccentric models. The initial stage of $\beta$-hairpin folding involves various partially folded intermediate structures which are stabilized by both the van der Waals interactions of hydrophobic core residues and the electrostatic interactions of non-native hydrogen bonds. The native structure is obtained by forming native contacts in the final tune-up process. Depending on the relative positions of the hydrophobic residues, the actual mechanism of hairpi n folding may or may not exhibit well-defined intermediates.

FOLDING-UNFOLDING KINETICS OF HUMAN $\alpha_1$-ANTITRYPSIN: CHARACTERIZATION OF A KINETIC INTERMEDIATE THAT IS BRANCHED TO THE NATIVE AND AGGREGATION FORM

  • Kim, Daeyou;Yu, Myeong-Hee
    • Proceedings of the Korean Biophysical Society Conference
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    • 1996.07a
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    • pp.13-13
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    • 1996
  • Aggregation of human $\alpha$$_1$-antitrypsin ($\alpha$$_1$-AT) during folding occurs both in vitro and in vivo. In vivo aggregates of mutant $\alpha$$_1$-AT such as $M_{malton}$ (Phe52 deleted) and Z (Glu342 longrightarrowLys) variants have pathological consequences. In order to analyze the process of $\alpha$$_1$-AT aggregation in detail, the folding-unfolding kinetics of $\alpha$$_1$-AT was examined by monitoring intrinsic Trp fluorescence and ANS binding. (omitted)

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A study on the unfolding length of Z-bending machining using thin plate (박판을 이용한 Z-굽힘 가공의 전개 길이에 관한 연구)

  • Park, Yong-Sun;Choi, Kye-Kwang
    • Design & Manufacturing
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    • v.15 no.3
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    • pp.19-25
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    • 2021
  • The bending process of a press die is to bend a flat blank to the required angle. There are V-bending, U-bending, Z-bending, O-bending etc. for bending processing, and the basic principle of calculating the unfolding length of die processing is used as the neutral plane length. Since the constant of the length value of the neutral surface is different depending on the type of bending, it is impossible to accurately calculate it. In particular, Z-bending processing is performed twice, and it is set on the upper and lower surfaces of the blank, and bending processing occurs at the same time as the upward and downward bending, and the elongation of the material occurs and the material increases. It is not possible to check with the calculated value, and it occurs in many cases where the mold is modified after start-up. This study aims to minimize die modification by developing a formula to calculate the development length of Z-bend.

Neutron spectrum unfolding using two architectures of convolutional neural networks

  • Maha Bouhadida;Asmae Mazzi;Mariya Brovchenko;Thibaut Vinchon;Mokhtar Z. Alaya;Wilfried Monange;Francois Trompier
    • Nuclear Engineering and Technology
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    • v.55 no.6
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    • pp.2276-2282
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    • 2023
  • We deploy artificial neural networks to unfold neutron spectra from measured energy-integrated quantities. These neutron spectra represent an important parameter allowing to compute the absorbed dose and the kerma to serve radiation protection in addition to nuclear safety. The built architectures are inspired from convolutional neural networks. The first architecture is made up of residual transposed convolution's blocks while the second is a modified version of the U-net architecture. A large and balanced dataset is simulated following "realistic" physical constraints to train the architectures in an efficient way. Results show a high accuracy prediction of neutron spectra ranging from thermal up to fast spectrum. The dataset processing, the attention paid to performances' metrics and the hyper-optimization are behind the architectures' robustness.