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211. Contributors

Author

Abdullah, Bawadi, primary, Abdullah, Sureena, additional, Ahmed, Abrar Zadeed, additional, Al Natour, Rawan, additional, Alenazey, Feraih, additional, AlSabeh, Ghewa, additional, Alsaffar, May Ali, additional, Altan, Orhan, additional, Amaniampong, Prince Nana, additional, Ansari, Khursheed B., additional, Anusuyadevi, Prasaanth Ravi, additional, Ayodele, Bamidele Victor, additional, Ayoub, Muhammad, additional, Baduri, Swarnendu, additional, Bhattacharya, Chinmoy, additional, Binh, Nguyen Thanh, additional, Choudhury, Biswajit, additional, Dang, Tuan Thanh, additional, Diaz-Angulo, Jennyfer, additional, Do, Ha Huu, additional, Do, Huu-Tuan, additional, Douma, Fatima, additional, El-Roz, Mohamad, additional, Eroğlu, Zafer, additional, Findik, Fehim, additional, Ghosh, Sangeeta, additional, González-Casamachin, Diego A., additional, Güy, Nuray, additional, Hajra, Paramita, additional, Hamoud, Houeida Issa, additional, Hang, Dinh Thi Thuy, additional, De Haro-Del Río, David A., additional, Hmadeh, Mohamad, additional, Iqbal, Farukh, additional, Jaiswal, Manju Kumari, additional, Kaneco, Satoshi, additional, Kim, Soo Young, additional, Küçükkeçeci, Hüseyin, additional, Kumar, Abhinandan, additional, Kumar, Anupam, additional, Kumar, Deepak, additional, Kwao-Boateng, Emmanuela, additional, Lara-Ramos, Jose A., additional, Van Le, Quyet, additional, Lucio-Ortiz, Carlos J., additional, Machuca-Martínez, Fiderman, additional, McCormick, Wesley, additional, McCrudden, Denis, additional, Metin, Önder, additional, Moharana, Aiswarya, additional, Molla, Md. Ashraful Islam, additional, Mustapa, Siti Indati, additional, Nanda, Sonil, additional, Nasrallah, Houssein, additional, Nath, Manash Pratim, additional, Nguyen, Ba-Son, additional, Nguyen, Chinh Chien, additional, Nguyen, Dang Le Tri, additional, Nguyen, Dinh Minh Tuan, additional, Nguyen, Thi Le Anh, additional, Nguyen, Trinh Duy, additional, Nguyen, Van Ha, additional, Nguyen, Van-Huy, additional, Oladipo, Habeebllah, additional, Özacar, Mahmut, additional, Panchangam, Sri Chandana, additional, Pang, Xinzhu, additional, Pham, Thanh Huyen, additional, Phan, Pham Thi, additional, Phan, Thi To Nga, additional, Raizada, Pankaj, additional, Ray, Debasish, additional, Rice, Clare, additional, Rivera De la Rosa, Javier, additional, Robertson, Peter K.J., additional, Sariket, Debasis, additional, Sharma, Ajit, additional, Shokouhimehr, Mohammadreza, additional, Singh, Pardeep, additional, Skillen, Nathan, additional, Soni, Vatika, additional, Svagan, Anna J., additional, Thakur, Ankush, additional, Thi, Lan-Anh Phan, additional, Trinh, Quang Thang, additional, Vo, Dai-Viet N., additional, and Yusuf, Mohammad, additional

Published
2021
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219. A Novel Low Level Feature Normalization Method for Content Based Image Retrieval

Author

Hoang, Trung Xuan, Van Dao, Tuyet, Nguyen, Nguyen Trinh, Ngo, Huy Hoang, Sergey, Ablameyko, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Huang, Tingwen, editor, Lv, Jiancheng, editor, Sun, Changyin, editor, and Tuzikov, Alexander V., editor

Published
2018
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227. Spatially Resolved Elastic Modulus of Magnesium Silicate Hydrate: A Cementitious Material

Author

Syed, Arif, Nguyen, Trinh Thao My, and La Plante, Erika

Abstract

Magnesium-based cement such as magnesium silicate hydrate (M–S–H) has drawn interest as a substitute for ordinary Portland cement. The precise determination of M–S–H’s elastic modulus is essential in assessing the mechanical performance of M–S–H-based concrete. Atomic force microscopy (AFM) allows for spatially resolved quantification of nanomechanical characteristics of materials, including thin overgrowths on substrates. In this study, elastic modulus maps of M–S–H grown on single crystal mica surfaces were obtained using amplitude modulation–frequency modulation AFM. The effects of the Mg-to-Si molar ratio and morphology on the elastic modulus of M–S–H films were investigated. AFM reveals elastic moduli ranging from 5 to 15 and 40 to 64 GPa, depending on the growth reaction time and morphology. A comparison with calcium silicate hydrate found in traditional cement reveals insights into the influence of silicate polymerization on the material’s stiffness. These findings demonstrate the effectiveness of AFM in quantitatively describing the mechanical characteristics of cementitious phases and suggest that M–S–H cement has the potential for use in a variety of construction applications.

Published
2024
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231. Glioblastoma survival is associated with distinct proteomic alteration signatures post chemoirradiation in a largescale proteomic panel.

Author

Krauze, Andra Valentina, Sierk, Michael, Nguyen, Trinh, Qingrong Chen, Chunhua Yan, Ying Hu, Jiang, William, Tasci, Erdal, Zgela, Theresa Cooley, Sproull, Mary, Mackey, Megan, Shankavaram, Uma, Meerzaman, Daoud, and Camphausen, Kevin

Subjects
PROTEOMICS, BIOLOGICAL classification, GLIOBLASTOMA multiforme, BRAIN tumors, PRINCIPAL components analysis
Abstract

Background: Glioblastomas (GBM) are rapidly progressive, nearly uniformly fatal brain tumors. Proteomic analysis represents an opportunity for noninvasive GBM classification and biological understanding of treatment response. Purpose: We analyzed differential proteomic expression pre vs. post completion of concurrent chemoirradiation (CRT) in patient serum samples to explore proteomic alterations and classify GBM by integrating clinical and proteomic parameters. Materials and Methods: 82 patients with GBM were clinically annotated and serum samples obtained pre- and post-CRT. Serum samples were then screened using the aptamer-based SOMAScan® proteomic assay. Significant traits from uni- and multivariate Cox models for overall survival (OS) were designated independent prognostic factors and principal component analysis (PCA) was carried out. Differential expression of protein signals was calculated using paired t-tests, with KOBAS used to identify associated KEGG pathways. GSEA preranked analysis was employed on the overall list of differentially expressed proteins (DEPs) against the MSigDB Hallmark, GO Biological Process, and Reactome databases with weighted gene correlation network analysis (WGCNA) and Enrichr used to validate pathway hits internally. Results: 3 clinical clusters of patients with differential survival were identified. 458 significantly DEPs pre-vs. post-treatment, 316 upregulated, 142 downregulated emerged including several pathways relevant to cancer metabolism and progression. The worst survival group (median OS 13.2 months) was associated with DEPs affiliated with proliferative pathways and distinct oppositional response (including RT) as compared to better-performing groups (intermediate, median OS 22.4 months; highest, median OS 28.7 months). Opposite signaling patterns across multiple analyses in several pathways (notably fatty acid metabolism, TNFa via NF-kB, Myc target V1 signaling, UV response, unfolded protein response, peroxisome, and interferon response) were distinct between clinical survival groups and supported by WGCNA. 9 proteins were statistically signficant for OS with 1 (CEACAM16) supported by KM. Conclusion: Distinct proteomic alterations with hallmarks of cancer, including progression, resistance, stemness, and invasion, were identified in serum samples obtained from GBM patients pre vs. post CRT and corresponded with clinical survival. The proteome can potentially be employed for glioma classification and biological interrogation of cancer pathways. [ABSTRACT FROM AUTHOR]

Published
2024
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232. Optimization of In Vitro Carotenoid Production by Rhodotorula Toruloides.

Author

Nguyen, Thai M., Nguyen, Trinh T. L., Nguyen, Tu T., Vo, Nhat N. N., Vo, Nhan T., and Nguyen, Yen T. N.

Subjects
RHODOTORULA, ACETONE, FERMENTATION, CAROTENOIDS, DIMETHYL sulfoxide
Abstract

Carotenoids are widely researched due to their correlation with the mitigation of severe illnesses such as cancer, cardiovascular disease, and macular degeneration, which points out the critical significance of natural pigments. Carotenoid production from microorganisms has many advantages compared to plants or algae because of its rapid growth rate, cost-effectiveness, and independence from geographical factors. The genus Rhodosporidium, specifically the species Rhodosporidium toruloides, is renowned for generating carotenoid-rich biomass in biotechnology. However, the quantity and composition of carotenoid products obtained highly depend on the specific medium and culture conditions. In this research, carotenoid extraction by combining DMSO and acetone can result in high efficiency. Furthermore, the fermentation medium for R. toruloides was successfully optimized with affordable ingredients, including glucose, NaCl, H2O2, KH2PO4, MgSO4.7H2O, NH4Cl2, Na2HPO4, and yeast extract. The reassessment of the optimal model revealed strong compatibility between the predictive and experimental models regarding dry biomass and carotenoid content. The low residual glucose amount ultimately revealed adequate glucose consumption as a substrate for growth and carotenoid production. [ABSTRACT FROM AUTHOR]

Published
2024
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233. Promoting Respectful Maternity Care by Reducing Unnecessary Episiotomies: Experiences from Centers of Excellence for Breastfeeding in Vietnam

Author

Vu, Duong Hoang, primary, Ta, Binh T. T., additional, Aasen, Ina Landau, additional, Le, Dai Q. T., additional, Mathisen, Roger, additional, Becker, Genevieve E., additional, Phan, Hang Thi, additional, Bui, Cuong Minh, additional, Nguyen, Trinh Thi Kieu, additional, Hoang, Suong Thi Thu, additional, and Cashin, Jennifer, additional

Published
2023
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239. Glioblastoma survival is associated with distinct proteomic alteration signatures post chemoirradiation in a large-scale proteomic panel

Author

Krauze, Andra Valentina, primary, Sierk, Michael, additional, Nguyen, Trinh, additional, Chen, Qingrong, additional, Yan, Chunhua, additional, Hu, Ying, additional, Jiang, William, additional, Tasci, Erdal, additional, Zgela, Theresa Cooley, additional, Sproull, Mary, additional, Mackey, Megan, additional, Shankavaram, Uma, additional, Meerzaman, Daoud, additional, and Camphausen, Kevin, additional

Published
2023
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243. Recent progress in ethanol steam reforming for hydrogen generation

Author

Siang, Tan Ji, primary, Jalil, Aishah Abdul, additional, Shafiqah, Mohd-Nasir Nor, additional, Bahari, Mahadi B., additional, Setiabudi, Herma Dina, additional, Abidin, Sumaiya Zainal, additional, Nguyen, Trinh Duy, additional, Abdulrahman, Abdulrasheed, additional, Van Le, Quyet, additional, Nanda, Sonil, additional, and Vo, Dai-Viet N., additional

Published
2020
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245. Hydrogen: fuel of the near future

Author

Reddy, Sivamohan N., primary, Nanda, Sonil, additional, Vo, Dai-Viet N., additional, Nguyen, Trinh Duy, additional, Nguyen, Van-Huy, additional, Abdullah, Bawadi, additional, and Nguyen-Tri, Phuong, additional

Published
2020
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247. List of Contributors

Author

Abdullah, Bawadi, primary, Abdulrahman, Abdulrasheed, additional, Abidin, Sumaiya Zainal, additional, Abudula, Abuliti, additional, Alhraki, Nour, additional, An, Ping, additional, Arun, Naveenji, additional, Assabumrungrat, Suttichai, additional, Atsunori, Matsuda, additional, Bahari, Mahadi B., additional, Castro, Jonathan D., additional, Chimpae, Supanida, additional, Dalai, Ajay K., additional, Gao, Kang, additional, Guan, Guoqing, additional, Ha, Hoang Thu, additional, Huang, Chao-Wei, additional, Idris, Nurul Hayati, additional, Iliuta, Maria Cornelia, additional, Ismail, Mohammad, additional, Jacobs, Gary, additional, Jalil, Aishah Abdul, additional, Kendall, Kevin, additional, Khan, Maksudur Rahman, additional, Kim-Lohsoontorn, Pattaraporn, additional, Maan, Karan Singh, additional, Martinelli, Michela, additional, Matamoros, Maria E., additional, Meshkani, Fereshteh, additional, Minh, Tran Dinh, additional, Mohamed, Abdul Rahman, additional, Mohammadi, Maedeh, additional, Mustafa, Nurul Shafikah Mohd, additional, Nanda, Sonil, additional, Nath, Pinku, additional, Nguyen, Ba-Son, additional, Nguyen, Trinh Duy, additional, Nguyen, Van-Huy, additional, Nguyen-Tri, Phuong, additional, Nimmas, Talita, additional, Noppakun, Nichamon, additional, Phuc, Nguyen H.H., additional, Powell, Jon, additional, Reddy, Sivamohan N., additional, Sahraei, Ommolbanin Ali Zadeh, additional, Saravanan, Prabhu, additional, Setiabudi, Herma Dina, additional, Shafiqah, Mohd-Nasir Nor, additional, Shang, Nathan Jinlei, additional, Sharma, Ajit, additional, Shirazi, Mohammad Mahdi A., additional, Siang, Tan Ji, additional, Van Le, Quyet, additional, Vo, Dai-Viet N., additional, Wang, Jiajia, additional, Wongsakulphasatch, Suwimol, additional, Xian, Ooi Yve, additional, Yahya, Muhammad Syarifuddin, additional, Yang, Yanyan, additional, Yap, Muhammad Firdaus Asyraf Abd. Halim, additional, Yee, Chin Sim, additional, Yu, Zhongliang, additional, Yue, Xiyan, additional, and Zhao, Zhongkai, additional

Published
2020
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250. An Improved Honey Badger Algorithm for Coverage Optimization in Wireless Sensor Network

Author

Trong-The Nguyen Trong-The Nguyen, Thi-Kien Dao Trong-The Nguyen, Trinh-Dong Nguyen Thi-Kien Dao, and Vinh-Tiep Nguyen Trinh-Dong Nguyen

Subjects
Computer Networks and Communications, Software
Abstract

One of the critical indicators for a significant impact on the quality of service of wireless sensor networks (WSN) is coverage that directly determines the monitoring capability of the target monitoring area. This paper suggests a node coverage optimization strategy solution with an improved Honey-badger algorithm (called IHBA) to address the problems of WSN nodes’ uneven distribution and low coverage in the random deployment. The honey-badger algorithm (HBA) is a recently developed metaheuristic algorithm with several advantages, e.g., robust process and ease of implementation; still, HBA has limitations in avoiding the local optimum trap when dealing with complicated node coverage optimization situations. The IHBA is implemented by modifying and updating equations with elite reverse learning and multi-direction strategies to prevent its original algorithm drawbacks. The obtained results on testing the benchmark function and the optimal WSN node coverage of the IHBA compared with the other algorithms in the literature. Compared results show that the IHBA algorithm provides effective optimal performance, convergence speed, and increasing feasible coverage. Significantly, the coverage rate archived of the IHBA is 87%, but the other methods are only below or equally 84% in the same comparison conditions. &nbsp

Published
2023

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