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Online since: March 2015
Authors: Elena Panchenko, Ekaterina Timofeeva, Yuriy Chumlyakov, Irina V. Kireeva, Irina V. Kretinina, Olga A. Kuts
Li, Ultra-strength materials, Progress in Materials Science. 55 (2010) 710-757
Chumlyakov, The orientation dependence of γ-α′ martensitic transformation in austenitic stainless steel single crystals with low stacking fault energy, Materials Science and Engineering. 481-482 (2008) 737-741
Slusker, Equilibrium two-phase microstructure at phase transformation in a constrained solid, Materials Science and Engineering A. 238 (1997) 23-31
Ishida, Phase transformations in Ni–Ga–Fe ferromagnetic shape memory alloys, Materials Science and Engineering A. 378 (2004) 403-408
Ovsyannikov, Orientation dependence and tension/compression asymmetry of shape memory effect and superelasticity in ferromagnetic Co40Ni33Al27, Co49Ni21Ga30 and Ni54Fe19Ga27 single crystals, Materials Science and Engineering A. 481-482 (2008) 95-100
Online since: July 2014
Authors: Kakon Nag, Toshihiro Akaike, Naznin Sultana, Nobuhiro Nakamura, Shigehisa Hirose, Koichi Kutsuzawa
One of the major causes of CHD has been shown to be the mutations in key cardiac channel-forming proteins namely, connexins (Cxs).
Ratiometric analysis further revealed that the ratio of Cx40 and Cx43 is a key factor for the propagation of conduction velocity in atrial myocytes.
Stem cell is the starting materials for regenerative medicine and tissue engineering.
It would be interesting to introduce such type of engineered Cx gene into iPSC for evaluating the prospect of using them for the treatment of CHD.
Therefore genetically engineered iPSC with corrected functionality of affected Cx protein/s obtained from CHD patients indeed hold strong prospect for relevant treatments.
Online since: June 2015
Authors: Benjamin Ghansah, Sheng Li Wu
The second one is by Del Val et al. [36], the focus of their paper is however skewed to the engineering aspect of DIR.
Unfortunately, totally removing irrelevant materials from a particular search result has been the major setback of most retrieval systems.
Example, in a specialized environment, such as medical and health sciences, this could be detrimental to the researcher who relies on finding all possible materials or information on a medical condition in a DIR system.
The Knowledge Engineering Review, 2013: p. 1-33
Knowledge and Data Engineering, IEEE Transactions on, 2005. 17(5): p. 638-651
Online since: May 2013
Authors: Hardev Singh Virk
Quantum dots (0D), also known as nanocrystals, are a special class of materials known as semiconductors, which are crystals composed of periodic groups of II-VI, III-V, or IV-VI materials.
Template materials must meet certain requirements [5].
Acknowledgements Research work reported in this review paper has been carried out in Centre for Nanotechnology of DAV Institute of Engineering and Technology (DAVIET), Jallandhar City, Punjab (India).
Materials Science Forum, 248-249 (1997) 467-470
Guo, Nanowires and Nanotubes--Materials, Properties and Devices, Vol.
Online since: September 2014
Authors: Dezső L. Beke, Zoltán Erdélyi, G.L. Katona
Thomas, Considerations Regarding Reactive Diffusion: Parabolic and Linear Rates, Metals Materials and Processes 11, (1999) 217- 232
Szabo, “Segregation in Nanostructures” in “Advances in Nanophase Materials and Nanotechnology” Vol.
Beke) special issue of Journal of Metastable and Nanocrystalline Materials, Vol. 19 (2004), p. 107-128 [46] A.L.
Doherty, Grain Boundary Motion, Diffusion-Induced, in Encyclopedia of materials science and engineering.
Beke, Grain boundary diffusion induced reaction layer formation in Fe/Pt thin films, Applied Physics A: Materials Science and Processing, 115 (2013) 203 [91] S.S.
Online since: March 2012
Authors: Alexander Gorin
Gorin School of Engineering, Computing & Science, Swinburne University of Technology, Offshore Sarawak Campus, Jln Simpang Tiga, 93350 Kuching, Sarawak, Malaysia agorin@swinburne.edu.my Keywords: Heat and mass transfer, turbulent filtration, turbulent separated flows, porous media, packed bed Abstract.
The key difference between the various two-layered approaches lies in models of the near-wall thermal resistance.
The issues of Prandtl number and thermal conductivities of liquid and material consisting of the packed bed ratio effects are still open questions.
Online since: April 2024
Authors: Khusna Dwijayanti, Taufik Alfuad
Naturindo Fresh Kulon Progo, Indonesia) Taufik Alfuad1,a*, Khusna Dwijayanti2,b 1,2Industrial Engineering Department, Faculty of Science and Technology, Sunan Kalijaga State Islamic University, Yogyakarta, Indonesia.
In conducting its business, production scheduling is one of the key factors that support the company's success.
Cycle Time Measurement Cycle time refers to the duration of completing a job, starting from when the material is processed in a processing unit until it is finished in that unit (Ginting, 2009) [3].
Online since: July 2024
Authors: Hong Wu Zhu, Yuan Qing Wang, Yan Lei Xiang, Rong Han, Run Huang, Yu Song Pan
Magnetic Nitrogen-Doped Fe3C@C Catalysts for Efficient Activation of Peroxymonosulfate for Degradation of Organic Pollutants Hongwu Zhu1,a, Yusong Pan2,b*, Yuanqing Wang3,c, Yanlei Xiang4,d, Rong Han5,e and Run Huang6,f 1,2,3,4,5,6Department of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, P.
Materials FeCl3·6H2O (99%), FeCl2·4H2O (99%), tris(hydroxymethyl)aminomethane (Tris, 99.9%), TC (99%), PMS (42%~46% KHSO5 basis), NaNO3 (99%), NaCl (99.5%), tert-butanol (TBA, 99.5%), L-histidine (L-His, 99%) and p-benzoquinone (BQ, 99%) were all purchased from Shanghai Macklin biochemical technology Co., Ltd.. ammonia (25-28%), dopamine hydrochloride (DA, 98%), NaOH (99%), Na2SO4 (99%), Na2CO3 (99%), anhydrous ethanol (99.5%) were purchased from Shanghai Aladdin biochemical Co., Ldt., and methanol (MeOH,) was purchased from Shanghai meryer chemical technology Co., Ltd.. 2.2.
On the one hand, N-doping can provide activated PMS with more electrons and N-rich functional groups through the non-radical pathway, thus improving the degradation ability of the material [23-25].
Online since: February 2016
Authors: Duc Tue Nguyen, Gast Rauchs, Jean Philippe Ponthot
A quadratic contact element passing the patch test Duc-Tue Nguyen1,a, Gast Rauchs2,b, and Jean-Philippe Ponthot3,c 1 Automotive Research & Development Centre, Bosch Vietnam, 364 Cong Hoa Street, Ward 13, Tan Binh District, Hochiminh City, Vietnam 2 Department of Materials Research and Technology, Luxembourg Institute of Science and Technology, 41 Brillstrooss, L-4422 Bieles, Luxembourg 3LTAS-MN2L-Non Linear Computational Mechanics, Department of Aerospace and Mechanical Engineering, University of Liège, Allee de la Decouverte 13a, 4000 Liège, Belgium atue.nguyenduc@vn.bosch.com, bgaston.rauchs@list.lu, cjp.ponthot@ulg.ac.be Keywords: numerical simulation, virtual slave node method, node-to-segment, patch test, quadratic contact element, penalty algorithm.
The key difference with respect to the original method presented in [35] is that the area of competence is projected onto the tangent line li of the master surface, see Fig. 6.
The two rectangular blocks are made of identical elastic materials.
Both cylinders are made of the same elastic material.
The material properties are given in Tab. 7.
Online since: January 2022
Authors: Taye Girma Debelee, Derara Duba Rufo, Worku Gachena Negera
Xu and Wang weighted feature selection algorithm based on random forest (RF-WFS) with XGBoost classifier PIDD Achieved an accuracy of 93.75% Materials and Methods Dataset.
Debelee, Detection of bacterial wilt on enset crop using deep learning approach, in: International Journal of Engineering Research in Africa, Vol. 51, Trans Tech Publ, 2020, pp. 131–146
Yohannes, Classification of mammograms using texture and cnn based extracted features, in: Journal of Biomimetics, Biomaterials and Biomedical Engineering, Vol. 42, Trans Tech Publ, 2019, pp. 79–97
Yohannes, Classifier based breast cancer segmentation, in: Journal of Biomimetics, Biomaterials and Biomedical Engineering, Vol. 47, Trans Tech Publ, 2020, pp. 41–61
Pradeep, A review of ensemble machine learning approach in prediction of diabetes diseases, International Journal on Future Revolution in Computer Science & Communication Engineering 4 (3) (2018) 463–466
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