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Online since: March 2014
Authors: Gui Fu Ding, Cong Chun Zhang, Ping Cheng, Jie Han
The decrease of RT0 with the testing cycle was probably due to the reduction of lattice defects.
Data from Table 1 illustrated that the values of TCR increased from 0.6×10-4/℃ to 1.2×10-4/℃ after the first testing cycle, then it retained stable at about 1.2×10-4/℃.
Online since: June 2014
Authors: Zheng Li Luo, Xing Yu Zhao, Ying Xin Qin, Lian Hai Jin, Wen He Zhu
Fatigue is a complex phenomenon that can be described as a time-dependent exercise-induced reduction in the maximal force generating capacity of a muscle [4,5].
Soy intake and cancer risk: a review of the in vitro and in vivo data.
Online since: October 2014
Authors: Toshiyo Tamura, Takumi Yosimura
Fall risk assessment is an essential component of any comprehensive fall reduction and prevention program.
When acceleration above threshold was detected, the data for the 8 s before and 2 s afterwards were stored, together with the time at which the event occurred.
Online since: August 2013
Authors: Hui Zhen Wang
This mode of logistics chain is long, circulation of fresh vegetables caused by increased costs, losses increase, resulting in increased logistics costs of fresh vegetable Fig. 1 The traditional circulation pattern of fresh vegetables This circulation is not conducive to the reduction of prices of fresh vegetables,and not conducive to people to eat fresh vegetables. 2.2 New fresh-vegetable logistics model.
Using laser range data for 3D SLAM in outdoor environments [C] Proceedings of the 2006 IEEE International Conference on Robotics and Automation. 2006:1556-1560 [7] Ming Wu, Jiying Sun.
Online since: January 2014
Authors: Liang Tan, Shi Guo Sun, Xue Fang Zhao, Shao Jie Feng
So far, limit equilibrium analysis method and strength reduction method are most popular methods.
Due to the matters of complexity of numerical solution, image processing, and extensive amount of data for computerizing, the realization of three-dimensional slope stability analysis relies on computer programing.
Online since: November 2014
Authors: Dariusz Skibicki, Łukasz Pejkowski
It is particularly noticeable in case of non-proportional loadings, which lead to a reduction of fatigue life (i.e. [1–3]).
The proposed method has been validated using the experimental data for various types of multiaxial fatigue loadings.
Online since: November 2025
Authors: Zviad Mestvirishvili, Nino Darakhvelidze, Merab Rizhamadze, Giorgi Giorganashvili, David Jishiashvili, Natia Jalagonia, Ekaterine Sanaia, Tinatin Kuchukhidze, Tetiana Prikhna
Based on the AVCO data, Arthur D.
SEM image, EDS mapping, and microanalysis data of C1 composite.
According to microanalysis data, SiC grains contain only this phase (Spectra 2 and 3).
EDS mapping, SEM image, and microanalysis data of C2 composite.
Flexural strength and elastic modulus measurement data of (a) C2 and (b) C3 composites.
Online since: March 2015
Authors: Quan Jiang, Ying Wang, Ping Zhao, Li Ping Ma, Chun Zhi Zhao
Data collection.
With calculation based on product production mass per unit (kg), data collection list of various thermal insulation materials determined in the research is detailed in Table 1.
Through the investigation in typical enterprises in China, we obtain the raw material per unit product consumed, energy consumption and transportation data involved in the production phase of three categories of thermal insulation materials.
The polyphenyl board and polyurethane rigid foam board may be neglected in data collection in view that very little additives such as dispersion agent, initiating agent and flame retardant is applied in production.
The upstream process data involved in the research is from the international and domestic public database [8-10], see Table 2.
Online since: August 2014
Authors: Ji Wei Hu, Yi Miao Lin, Ling Yun Li
Furthermore, the experimental data available are limited.
The value of the calculated molecular descriptor and the experimental debromination data in this study are listed in Table 3.
b Part of the experimental data in the table were collected from the references [7,13,14] and calculated by Zhuang et al. [14].
One principal component (PC1) was extracted from the original data accounting for 86.156% of the total variance using the PCA-MLR approach.
There are some deviations between the prediction results and the experimental data.
Online since: March 2024
Authors: Sroisiri Thaweboon, Supissara Makkrajang, Pornkiat Churnjittapirom, Sirada Leelapong, Sirilak Mateekusontan
Then, at 55 seconds after the specimens were removed from the incubator, the data was recorded as “x1.”
After gathering the data, the formula (Eq. 1) was used to analyze and evaluate the data.
Then, the data was recorded as “y2”.
After gathering the data, the values were inserted into the formula (Eq. 2) to calculate, analyze, and evaluate whether the strain in compression passed the criteria or not.
(2) S = the percentage of strain-in compression y0 = the height of the split mold y1 = the data at the indicator reading at 30 seconds after applying the first load y2 = the data at the indicator reading at 30 seconds after applying the total load Data Analysis.
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