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Results 61-70 of 144 (Search time: 0.002 seconds).
  • Authors: Tran, Duc-Nghia;  Advisor: Nguyen, Tu N.; Phung, Cong Phi Khanh; Tran, Duc-Tan;  Co-Author: - (2021)

    Cow behavior recognition systems support the assessment of cows’ condition by providing their behavior information. Accelerometers are particularly suited for a non-invasive solution for the development of these monitoring systems. They are cheap and simple in setting up and providing high-performance recognition when using machine learning algorithms. The activity complexity of animals brings challenges in real context applications because different behaviors may have similar acceleration data. The reason is that they contain similar gestures, for example, feeding and standing. In our previous work, we proposed a cows’ behavior classifier based on leg-mounted acceleration data. The distinguishing of similar behaviors, such as feeding and standing, is limited by the data. This study...

  • Authors: Vu Khac Hoang Bui; Tuyet Nhung Pham; Jaehyun Hur; Young-Chul Lee;  Advisor: -;  Co-Author: - (2021)

    To enhance the performance of lithium-ion batteries, zinc oxide (ZnO) has generated interest as an anode candidate owing to its high theoretical capacity. However, because of its limitations such as its slow chemical reaction kinetics, intense capacity fading on potential cycling, and low rate capability, composite anodes of ZnO and other materials are manufactured. In this study, we introduce binary and ternary composites of ZnO with other metal oxides (MOs) and carbon-based materials. Most ZnO-based composite anodes exhibit a higher specific capacity, rate performance, and cycling stability than a single ZnO anode. The synergistic effects between ZnO and the other MOs or carbon-based materials can explain the superior electrochemical characteristics of these ZnO-based composites. ...

  • Authors: Duong, Hong-Quan;  Advisor: Than, Van Thai; Nguyen, Huyen-Trang; Nguyen, Phuong-Thoa; Ha Thi, Huyen Trang; Bui, Thi Ngoc Ha; Dang, Vu Phuong Linh; Dinh, Thi-Thanh; You, Kyu Sic; Dang, The-Hung; Seong, Yeon-Sun;  Co-Author: - (2021)

    Anaplastic lymphoma kinase (ALK) is known to be an important therapeutic target in various types of cancer. NVP‑TAE684, a well‑known inhibitor of ALK, was revealed to exert antitumor effects in several different malignancies. However, the molecular mechanisms responsible for these antitumor effects in cancer cells, including pancreatic adenocarcinoma cells, remain unknown. In the present study, NVP‑TAE684 was investigated for its antitumor effects towards pancreatic adenocarcinoma cells. MTT assay, western blot analysis, flow cytometry, caspase‑3/7 activity assay and Trypan blue exclusion assay were used and it was revealed that NVP‑TAE684 suppressed the proliferation of seven human pancreatic adenocarcinoma cell lines (AsPC‑1, Panc‑1, MIA PaCa‑2, Capan‑1, CFPAC‑1, Colo‑357 and BxPC...

  • Authors: Mantello, Peter; Ho, Manh Tung; Nguyen, Minh Hoang; Vuong, Quan Hoang;  Advisor: -;  Co-Author: - (2021)

    Biometric technologies are becoming more pervasive in the workplace, augmenting managerial processes such as hiring, monitoring and terminating employees. Until recently, these devices consisted mainly of GPS tools that track location, software that scrutinizes browser activity and keyboard strokes, and heat/motion sensors that monitor workstation presence. Today, however, a new generation of biometric devices has emerged that can sense, read, monitor and evaluate the affective state of a worker.

  • Authors: Luong, Thien Van;  Advisor: Ko, Youngwook; Matthaiou, Michail; Ngo, Anh Vien; Le, Minh-Tuan; Ngo, Vu-Duc;  Co-Author: - (2021)

    This paper proposes a deep learning (DL)-aided multicarrier (MC) system operating on fading channels, where both modulation and demodulation blocks are modeled by deep neural networks (DNNs), regarded as the encoder and decoder of an autoencoder (AE) architecture, respectively. Unlike existing AE-based systems, which incorporate domain knowledge of a channel equalizer to suppress the effects of wireless channels, the proposed scheme, termed as MC-AE, directly feeds the decoder with the channel state information and received signal, which are then processed in a fully data-driven manner. This new approach enables MC-AE to jointly learn the encoder and decoder to optimize the diversity and coding gains over fading channels. In particular, the block error rate of MC-AE is analyzed to s...

  • Authors: Nguyen K. Ngan; Anh D. Phan; Alessio Zaccone;  Advisor: -;  Co-Author: - (2021)

    The temperature dependence of the reversible structural relaxation time and diffusion constant of metallic glasses under pressure is theoretically investigated. The compression not only changes the glassy dynamics, but also generates a metastable state along with a higher-energy state where the system can rejuvenate. The relaxation times for forward and backward transitions in this two-state system are nearly identical and much faster than the relaxation time without accounting for barrier recrossing. At ambient pressure, the expected irreversible relaxation process is recovered, and the numerical results agree well with prior experimental results. An increase in pressure has a minor effect on the relaxation time and diffusion constant that one computes without considering the influ...

  • Authors: Quan-Hoang Vuong; Huyen Thanh T. Nguyen; Thanh-Hang Pham; Manh-Toan Ho; Minh-Hoang Nguyen;  Advisor: -;  Co-Author: - (2021)

    Entrepreneurs play crucial roles in global sustainable development, but limited financial resources constrain their performance and survival rate. Despite the global presence of entrepreneurship, the literature of entrepreneurial finance is suspected to be Western ideologically homogenous. Thus, this study aims at examining this phenomenon by employing the mindsponge mechanism and bibliometric analyses. 412 highly cited publications extracted from the Web of Science database are analyzed to find Western ideological dominance and low tolerance towards heterogeneity in entrepreneurial finance’s core ideologies. The dominance and low tolerance are consistent across author level, institution level, and country level, revealing strong evidence for the existence of Western ideological hom...

  • Authors: Truong, Thanh Tung; Huy, Luong Xuan;  Advisor: -;  Co-Author: - (2021)

    Herein, a library of novel hybrid 6-(4-substituted-1H-1,2,3-triazol-1-yl)-2-mercaptobenzothiazoles was designed using a “left-hand strategy” and synthesized using microwave-assisted synthesis. The synthesized compounds were screened against quorum sensing activities and biofilm formation of Gram-negative bacteria. Biological results reveal that eleven compounds strongly inhibited the quorum sensing activities of the Pseudomonas aeruginosa lasB-gfp reporter strain.Compounds 4g (IC50 of 9.84 ± 1.10 μM), 4h (IC50 of 6.09 ± 0.98 μM), and 4m (IC50 of 12.20 ± 0.25 μM) are 2–5 times stronger than the reference compound 4NPO (IC50 of 32 ± 0.88 μM) in QSI screening. Compounds 4g and 4h inhibited up to 90% of the biofilm formation of Pseudomonas aeruginosa. In terms of anti-virulence effe...

  • Authors: Manh, Toan Ho; Manh, Tung Ho; Quan, Hoang Vuong;  Advisor: -;  Co-Author: - (2021)

    This paper seeks to introduce a strategy of science communication: Total SciComm or all-out science communication. We proposed that to maximize the outreach and impact, scientists should use different media to communicate different aspects of science, from core ideas to methods. The paper uses an example of a debate surrounding a now-retracted article in the Nature journal, in which open data, preprints, social media, and blogs are being used for a meaningful scientific conversation. The case embodied the central idea of Total SciComm: the scientific community employs every medium to communicate scientific ideas and engages all scientists in the process.