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Results 291-300 of 691 (Search time: 0.001 seconds).
  • Authors: Khanh V. Do; Erik, Hjorth; Ying, Wang;  Advisor: -;  Co-Author: - (2022)

    Alzheimer’s disease (AD) develops into dementia over a period of several years, during which subjective cognitive impairment (SCI) and mild cognitive impairment (MCI) can be used as intermediary diagnoses of increasing severity. Chronic neuroinflammation resulting from insufficient resolution is involved in the pathogenesis of AD and is associated with cognitive impairment

  • 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 The paper uses an example of a debate surrounding a now-retracted article in the Nature journal, in which open data, preprints, social media, and blogs are being used for a meaningful scientific conversation.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.

  • Authors: Panagiotis G.Asteris; Anna Mamoua; Mohse Hajihassani; Mahdi Hasanipanah; Mohammadreza Koopialipoor; Tien-Thinh Le; Navid Kardanig; Danial J.Armaghanih;  Advisor: -;  Co-Author: - (2021)

    This paper reports the results of soft computing-based models correlating L and N-type Schmidt hammer rebound numbers of rock. A data-independent database was compiled from available measurements reported in the literature, which was used to train and develop back propagating neural networks, genetic programming and least square method models for the prediction of L-type Schmidt hammer rebound numbers. The results show that the highest predictive accuracy was obtained for the neural network model, which predicts the L type Schmidt hammer rebound number, with less than ±20% deviation from the experimental data for 97.27% of the samples. The optimum neural network is presented as a closed form equation and is also incorporated into an Excel-based graphical user interface, which direct...

  • Authors: Dinh-Toi Chu; Hue, Vu Thi; Yen, Vy Nguyen Thi;  Advisor: -;  Co-Author: - (2022)

    This study describes the willingness of receiving the COVID-19 booster doses for adults and their children 12–17 years old, and its related factors in Vietnam. A cross-sectional study was conducted through a national online survey from November 17 to November 24, 2021 using Google Form. Study respondents were Vietnamese citizens who were ≥18 years old and currently living in Vietnam. A total of 900 complete responses were analyzed and of those 93.77% were willingness to receive the booster dose. Participants with a university degree or higher were 8.16 times higher in willingness than those with primary school (p = .017). Those who received the first or the second dose of the COVID-19 vaccine were 5.85 (p = .001) and 5.65 (p < 0.001) times higher in willingness to receive booster do...

  • Authors: Pham, Minh Tuan;  Advisor: -;  Co-Author: - (2022)

    Network Function Virtualization (NFV) can support customized on- demand network services with flexibility and cost-efficiency. Virtual Network Function (VNF) instances need to be scaled out, scaled in, and reallocated across the NFV infrastructure (NFVI) to avoid a violation of service agreements when the demand traffic changes. However, selecting the new placement of VNFs for migrating a service function chain (SFC) is an issue of efficient NFV control. We propose two novel integer linear programming (ILP) models and two approximation algorithms for SFC placement and migration to maximize the cost-efficiency of an NFV network regarding the changes of service demands and dynamic routing. The ILP models allow us to obtain the optimal solutions of SFC placement and migration with expl...

  • Authors: Richa Pokharel Madhogaria; Chang-Ming Hung; Baleeswaraiah Muchharla; Anh Tuan Duong; Raja Das; Pham Thanh Huy; Sunglae Cho; Sarath Witanachchi; Hariharan Srikanth; Manh-Huong Phan;  Advisor: -;  Co-Author: - (2021)

    We explore strain-modulated helimagnetism in highly crystalline MnP nanorod films grown on Si(100) substrates using molecular beam epitaxy. The strained MnP film exhibits a paramagnetic to ferromagnetic (FM) phase transition at T C ∼ 279 K , and the FM to helical phase transition at T N ∼ 110 K . The value of T N is greater than T N ∼ 47 K for the MnP single crystal, indicating strong strain-modulated helimagnetic states in the MnP nanorod film. The presence of significant thermal hysteresis in the helical phase indicates the coexistence of competing magnetic interactions, leading to the first-order metamagnetic transition. Similar to its single-crystal counterpart, an anisotropic magnetic effect is observed in the MnP film, which is independently confirme...

  • Authors: Trung Thanh Nguyen; Jörg Rothe;  Advisor: -;  Co-Author: - (2021)

    We study a generalized version of the load balancing problem on unrelated machines with cost constraints: Given a set of m machines (of certain types) and a set of n jobs, each job j processed on machine i requires time units and incurs a cost , and the goal is to find a schedule of jobs to machines, which is defined as an ordered partition of n jobs into m disjoint subsets, in such a way that some objective function of the vector of the completion times of the machines is optimized, subject to the constraint that the total costs by the schedule must be within a given budget B. Motivated by recent results from the literature, our focus is on the case when the number of machine types is a fixed constant and we develop a bi-criteria approximation scheme for the studied problem. Our r...