Color and flavor development of roasted jackfruit (Artocarpus hetrophyllus L.) seeds by Azeez, Shakirah Omotoke

“…The aim of this research therefore was to investigate the flavor and color development in JFS during roasting, through; chemical analysis, sugar profiling and amino acid profiling of both raw and roasted JFS; color development analysis using response surface methodology (RSM); effect of roasting condition on the structural changes of the starch granules using scanning electron microscopy (SEM) and Fourier Transform Infrared spectroscopy (FTIR); and lastly flavor development analysis using gas chromatography-olfactometry (GC-O) and gas chromatography-mass spectrometry (GC-MS) coupled with aroma extract dilution analysis (AEDA) for the identification of key odorants. …”
Get full text

Deep learning-based concrete image analysis and generalization capability by Qian, Hanjie

“…The analysis of concrete's microstructure contributes to the design and improvement of concrete compositions. Scanning electron microscopy (SEM) imaging is the most common and direct method for analyzing the microstructure of concrete. …”
Get full text

Investigation of nano-copper for electronic packaging application : solder metallization and die attach by Luo, Kaiming

“…The cause of this morphology difference is due to nano-copper’s unique porous structure. Based on the Scanning Electron Microscope (SEM) and (Energy Dispersive X-ray Spectroscopy) EDS analysis of samples of different reflow times, an IMC growth mechanism in NC/Sn-3.5Ag has been proposed. …”
Get full text

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. …”
Get full text
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text