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Transparent and Self-Powered Multistage Sensation Matrix for Mechanosensation Application
Zhang, Qian,Jiang, Tao,Ho, Donghae,Qin, Shanshan,Yang, Xixi,Cho, Jeong Ho,Sun, Qijun,Wang, Zhong Lin American Chemical Society 2018 ACS NANO Vol.12 No.1
<P>Electronic skin based on a multimodal sensing array is ready to detect various stimuli in different categories by utilizing highly sensitive materials, sophisticated geometry designs, and integration of multifunctional sensors. However, it is still difficult to distinguish multiple and complex mechanical stimuli in a local position by conventional multimodal E-skin, which is significantly important in the signals’ feedback of robotic fine motions and human–machine interactions. Here, we present a transparent, flexible, and self-powered multistage sensation matrix based on piezoelectric nanogenerators constructed in a crossbar design. Each sensor cell in the matrix comprises a layer of piezoelectric polymer sandwiched between two graphene electrodes. The simple lamination design allows sequential multistage sensation in one sensing cell, including compressive/tensile strain and detaching/releasing area. Further structure engineering on PDMS substrate allows the sensor cell to be highly sensitive to the applied pressures, representing the minimum sensing pressure below 800 Pa. As the basic combinations of compressive/tensile strains or detaching/releasing represent individual output signals, the proposed multistage sensors are capable of decoding to distinguish external complex motions. The proposed self-powering multistage sensation matrix can be used universally as an autonomous invisible sensory system to detect complex motions of the human body in local position, which has promising potential in movement monitoring, human–computer interaction, humanoid robots, and E-skins.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancac3/2018/ancac3.2018.12.issue-1/acsnano.7b06126/production/images/medium/nn-2017-06126z_0005.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nn7b06126'>ACS Electronic Supporting Info</A></P>
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Qijun Peng,Junwei Zhang,Yan Wang 한국화학공학회 2013 Korean Journal of Chemical Engineering Vol.30 No.6
Phase behavior of aqueous two-phase systems (ATPS) containing cationic (SDS) and anionic (CTAB) surfactants and its application to theanine extraction was studied. Results indicated the ATPS could form under the certain SDS/CTAB molar ratio; there was a reasonable consistency between the conductivity and the formation region of ATPS,and the viscosity was higher in the formation region of ATPS. Additionally, the phase ratio increased with increase of CATB concentration, and the interfacial film between the top phase and the bottom phase was resilient. Moreover,the theanine extraction with ATPS was realized in the waste liquid of tea polyphenol production (WLTPP), and the partition coefficient of theanine decreased with increase of WLTPP concentration, whereas the extraction rate of theanine increased. The partition coefficient decreased with increasing SDS/CTAB molar ratio, and the extraction rate of theanine increased with increase of SDS/CTAB molar ratio.
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Reflection-type Finger Vein Recognition for Mobile Applications
Congcong Zhang,Zhi Liu,Yi Liu,Fangqi Su,Jun Chang,Yiran Zhou,Qijun Zhao 한국광학회 2015 Current Optics and Photonics Vol.19 No.5
Finger vein recognition, which is a promising biometric method for identity authentication, has attractedsignificant attention. Considerable research focuses on transmission-type finger vein recognition, but thistype of authentication is difficult to implement in mobile consumer devices. Therefore, reflection-type fingervein recognition should be developed. In the reflection-type vein recognition field, the majority ofresearchers concentrate on palm and palm dorsa patterns, and only a few pay attention to reflection-typefinger vein recognition. Thus, this paper presents reflection-type finger vein recognition for biometricapplication that can be integrated into mobile consumer devices. A database is built to test the proposedalgorithm. A novel method of region-of-interest localization for a finger vein image is introduced, anda scheme for effectively extracting finger vein features is proposed. Experiments demonstrate the feasibilityof reflection-type finger vein recognition
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The long non-coding RNA uc.4 influences cell differentiation through the TGF-beta signaling pathway
Zijie Cheng,Qijun Zhang,Anwen Yin,Mengwen Feng,Hua Li,Hailang Li,Yun Li,Lingmei Qian 생화학분자생물학회 2018 Experimental and molecular medicine Vol.50 No.-
In a previous study, we screened thousands of long non-coding RNAs (lncRNAs) to assess their potential relationship with congenital heart disease (CHD). In this study, uc.4 attracted our attention because of its high level of evolutionary conservation and its antisense orientation to the CASZ1 gene, which is vital for heart development. We explored the function of uc.4 in cells and in zebrafish, and describe a potential mechanism of action. P19 cells were used to investigate the function of uc.4. We studied the effect of uc.4 overexpression on heart development in zebrafish. The overexpression of uc.4 influenced cell differentiation by inhibiting the TGF-beta signaling pathway and suppressed heart development in zebrafish, resulting in cardiac malformation. Taken together, our findings show that uc.4 is involved in heart development, thus providing a potential therapeutic target for CHD.
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