Self-healing materials for flexible electronic devices by Tiwari, Naveen

“…The different ionic liquids (EMITFB and EMITFSI) was used as compared to EMITFS since these ionic liquids have the same cation but different anions. This chapter depicts the study of the influence of ionic liquids on the different class of polymer structure and its effects on the healing properties. …”
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Control schemes of voltage source converters in more-electronics power systems by He, Jinsong

“…Simulation results demonstrate that RL significantly improves the load-voltage tracking accuracy without sacrificing dc-link voltage stabilization. Finally, Chapter 7 concludes this thesis and summarizes three recommended research directions, followed by the list of the author’s publications and the bibliography of this thesis.…”
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抒情作家莫河的地方经验 ： 故土、历史与文化的记忆 = Lyrical writer Mo He's local experiences : the memories of homeland, history and culture by 蒋承耘 Jiang, Chengyun

“…Through Mo He’s historical memories, we can see that he opposed the concepts of colonialism and imperialism, and heavily criticised the cruelty of war. …”
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Development of resistive random access memory for next-generation embedded non-volatile memory application by Sun, Jianxun

“…Good resistive switching has been demonstrated for the device with Pt bottom electrode (BE) in chapter 6. However, the degradation of switching uniformity is observed when Pt is replaced by TiN, which is a conventional fab material. …”
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Part I : Peptide functionalized materials for gram-negative bacteria targeted PDT and LPS sensing. Part II : Small peptide and membrane lipid based self-assembled nanostructures fo... by Liu, Fang

“…In part II, my first project is the development of novel drug-loaded nanogels for pH sensitive drug release, which will be described in chapter 3. In our research, the most commonly used model drug doxorubicin (Dox) was conjugated to an Fmoc group protected short peptide through an acid-labile hydrazone-bond to form a peptide-Dox prodrug. …”
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Preparation of low-dimensional materials for plasmonic bio-sensing by Das, Chandreyee Manas

“…Our Si-ARC-TMDC sensor model discussed in chapter 5 is an extension of a previously proposed Si-TMDC model. …”
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Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures by Belov, Vladimir, Erwin-Grabner, Tracy, Aghajani, Moji, Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Bülow, Robin, Ching, Christopher R. K., Connolly, Colm G., Cullen, Kathryn, Davey, Christopher G., Dima, Danai, Dols, Annemiek, Evans, Jennifer W., Fu, Cynthia H. Y., Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke, Hamilton, J. Paul, Harrison, Ben J., Ho, Tiffany C., Mwangi, Benson, Jaworska, Natalia, Jahanshad, Neda, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Melloni, Elisa, Mueller, Bryon A., Ojha, Amar, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Reneman, Liesbeth, Sacchet, Matthew D., Sämann, Philipp G., Schrantee, Anouk, Sim, Kang, Soares, Jair C., Stein, Dan J., Thomopoulos, Sophia I., Uyar-Demir, Aslihan, van der Wee, Nic J. A., van der Werff, Steven J. A., Völzke, Henry, Whittle, Sarah, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto

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