Front cover: Purification of anionic fluorescent probes through precise fraction collection with a two‐point detection system using multiple‐stacking preparative capillary transient isotachophoresis

2020 ◽  
Vol 41 (13-14) ◽  
Author(s):  
Tomoko Haraga ◽  
Hiroto Tsujimura ◽  
Saori Miyauchi ◽  
Takuya Kamimura ◽  
Masami Shibukawa ◽  
...  
2020 ◽  
Vol 41 (13-14) ◽  
pp. 1152-1159
Author(s):  
Tomoko Haraga ◽  
Hiroto Tsujimura ◽  
Saori Miyauchi ◽  
Takuya Kamimura ◽  
Masami Shibukawa ◽  
...  

2017 ◽  
Vol 23 (68) ◽  
pp. 17152-17152
Author(s):  
Thomas Schwarze ◽  
Monique Mertens ◽  
Peter Müller ◽  
Janine Riemer ◽  
Pablo Wessig ◽  
...  

1972 ◽  
Vol 44 (11) ◽  
pp. 1833-1840 ◽  
Author(s):  
Thomas H. Beasley ◽  
Howard W. Ziegler ◽  
Richard L. Charles ◽  
Perry. King

2013 ◽  
Vol 401-403 ◽  
pp. 1636-1640
Author(s):  
Jian Zhang ◽  
Yan Ting Lan ◽  
Yi Wan

Aiming at the difficulty in control in tea fixation process, the intelligent control technology is adopted in the research which is for the core to the C8051F340 SCM and adopts the multi-point detection system to collect the temperature and humidity data. Besides, the data transmission with the epistemic machine can be realized by the I2C Bus, SPI and so on while the control rules and parameters of the controller can be intended. Thus it can be seen that the multi-parameter control of the temperature and humidity can be realized in tea green removing technology. The bunk watchdog circuit is adopted in hardware design to repair the systems bug automatically and safeguard the control system operate stably for a long time in this research. Additionally, the PID control algorithm is applied in software design to control systemic error less than 2%. Practical application indicates that this system is with simple structure, high reliability and good scalability, and it also can reduce the amount of labor and improve the teas quality.


2017 ◽  
Vol 739 ◽  
pp. 75-80 ◽  
Author(s):  
Hong Kai Li ◽  
Tong Qing Wang ◽  
De Wen Zhao ◽  
Jian Bin Luo ◽  
Xin Chun Lu

Accurate determination of a chemical mechanical planarization (CMP) process reaching the end point is an important problem in the CMP process. In present work, the variation of the motor power signal of the polishing platen in the CMP process has been investigated, and the moving average method with 121-points moving window was used to smooth the original signal curve. Experiment results showed that the processed signal could facilitate the extraction of end-point feature for the in-situ end-point detection (EPD) system and it was relatively steady before and after the layer transition stage, which made it more reliable to detect the end point in situ. Comparing with other EPD methods, the system was less complicated, and it was easier to code for algorithm development. Finally, further analysis was performed and series of experiments provided a planarized via-revealed surface with low via dishing.


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