Mechanical performance and microstructural development of MgO-SiO2-H2O systems by Sonat, Cem

“…Microstructural analysis was performed via various techniques such as x-ray diffraction (XRD), thermogravimetric/derivative thermogravimetric analysis (TG/DTG), Fourier transform infrared spectroscopy (FTIR) and field emission scanning electron microscopy (FESEM). In the initial studies, where the influence of mix design and different curing conditions were discussed, mix compositions with a MgO/SiO2 weight ratio of 1-1.5 resulted in the best mechanical performance, depending on the water/binder ratio. …”
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Antimicrobial activity, phytochemical and toxicity analyses of salam [Syzygium polyanthum (Wight) Walp.] leaf extract and its application in food by Ramli, Suzita

“…Cell constituents release analysis and observation by using scanning electron microscope showed altering in cell wall linearity, cells ruptured and leakaged of the cytoplasm. …”
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Synthesisation, characterisation and water adsorption on novel functional metal organic frameworks for heat transformation process by Han, Bo

“…After synthesisation, the parent and modified adsorbents are characterised by X-Ray diffraction (XRD), scanning electron microscopy (SEM), thermogravimetric analysis (TGA) and N2 adsorption approaches. …”
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Pnictogen-halide semiconductors for photovoltaics by Liu, P

“…Convolutional Neural Network (CNN) models were used to evaluate the density of pinholes in the scanning electron microscopy images, and the Segment Anything Model (SAM) was used to separate different regions within the images. …”

Antistaphylococcal and antibiofilm activities of ethanolic extract of Piper cubeba L. by Velu, Selvi

“…The ethanolic P. cubeba L. extract was assessed for its stability at various temperature and pH conditions relevant to food production and storage. Scanning electron microscopy (SEM) was used to visualize the effect of ethanolic P. cubeba L. extract on representative S. aureus. …”
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Creativity in Intelligent Technologies and Data Science : 4th International Conference, CIT&DS 2021, Volgograd, Russia, September 20-23, 2021 : Proceedings / by CIT&DS (Conference) (4th : 2021 : Volgograd, Russia), organiser 642924, Kravets, Alla G., editor 642925, Shcherbakov, Maxim, editor 642926, Parygin, Danila, editor 642927, Groumpos, Peter P., editor 642928

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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