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Chau Nguyen N.,Anh Le T.,Vu Nguyen H.,Phuc Hoang K. 한국응용곤충학회 2022 Journal of Asia-Pacific Entomology Vol.25 No.2
Bioassays to evaluate the mortality, virulence and reproduction potentials of four indigenous EPN strains, SPQ16, S-BM12, H-KT3987 and H-CB3452 on insect larvae of mealworm (Tenebrio molitor) and greater wax moth (Galleria mellonella) revealed the highest mortality rates of two insect larvae at the highest inoculation dose of 100 IJs to range from 89 to 100 percent and 94.3–100 percent at 48 h after inoculation, respectively. Virulence was high for all nematode strains, with LC 50 values between 29.6 and 47.3 IJs/insect host. The highest IJ yields were different between nematode strains and insect host, from 66.8 × 10 3 IJs (S-PQ16) to 118.6 × 10 3 IJs (HKT3987) on T. molitor, and from 54.2 × 10 3 IJs (S-BM12) to 163.3 × 10 3 IJs (H-KT3987) on G. mellonella. The culturing cost in terms of food expenditure for rearing insect larvae varied between insect larvae and nematode strains, from 6.76 to 26.63 USD per billion IJs for nematode strains cultured on T. molitor larvae and from 3.54 to 7.81 USD per billion IJs for nematode strains cultured on G. mellonella larvae. The full cost for a nematode product of 2.5 × 10 9 IJs per hectare, produced through in vivo mass culturing, of the most efficient nematode strain, H-KT3987, was 191.3 USD, slightly cheaper than 199.4 USD for the same nematode product produced through in vitro mass culturing.
Hoang-Anh T. Nguyen,Huy-Hoang Tran,Thang T. Vu,T.T. Quyen Bui 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10
Mental state classification is an important step for realizing a control system based on electroencephalography (EEG) signals which could benefit a lot of paralyzed people including the locked-in or Amyotrophic Lateral Sclerosis. Considering that EEG signals are nonstationary and often contaminated by various types of artifacts, classifying thoughts into correct mental states is not a trivial problem. In this work, our contribution is that we present and realize a novel model which integrates different techniques: Independent component analysis (ICA), relative wavelet energy, and support vector machine (SVM) for the same task. We applied our model to classify thoughts in two types of experiment whether with two or three mental states. The experimental results show that the presented model outperforms other models using Artificial Neural Network, K-Nearest Neighbors, etc.
Ngoc Thuy Nguyen,Nhat Thong Tran,Tan Phat Phan,Anh Thu Nguyen,My Xuyen T. Nguyen,Nguyen Ngan Nguyen,Young Ho Ko,Dai Hai Nguyen,Tran T.T. Van,DongQuy Hoang 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.108 No.-
While the efficient usage of biomass waste can significantly help in addressing environmental issues,there are only a few reports that discuss about processing such waste effectively at a low-cost. Such challengearises from the strong association between the components biomass. In this study, an abundantagricultural byproduct, rice husk (RH), was used as the starting resource. A simple biorefining processof alkaline peroxide treatment followed by acid precipitation and ethanol extraction was performed onRH to obtain cellulose, hemicellulose, lignin, and silica. The chemical structures, morphologies, andphysic-chemical properties of the separated components were identified through a wide range of characterizationapproaches. The final products obtained from of this process were (i) bundles of fiber-likecellulose with a fiber width of 6 mm and (ii) small particles of hemicellulose and lignin with nonuniformshapes. The lignocelluloses products had over 90 wt% carbon with 52.28% crystalline ratio. Meanwhile, the other products comprising hemicelluloses, lignin, and silica were amorphous. The outcomeof this study contributes to expanding and developing the simple and efficient conversion processof biomass waste into sustainable value-added materials. It is crucial to reduce the environmental impactby using renewable materials as the new building block resources for synthetic chemicals.
Design of an Advanced Wearable Sensor Platform for Multi Applications
Anh-Tuan Nguyen,Tung Hoang,Quang-Vinh Thai,T.T. Quyen Bui 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
In the emerging Internet-of-Things (IoT), wireless sensors are the vital mediators between the physical world and the cyber space. In many telemonitoring and interactive applications, high-rate data streams up to MB/s may need to be transported from the wireless sensors to the cloud computing servers over the Internet and processed by the remote servers in quasi-real time fashion. These applications generally demand substantial reduction of communication bandwidth, response latency and power consumption of these Internet-based cyber-physical systems. To tackle these demands for efficient use of communication, computing and power resources, we developed an advanced wearable sensor platform (AWSP) which integrated a powerful system-on-chip (SoC) processor, a smart power management unit, a highly accurate real-time clock and multi-function peripherals into a miniature module. This AWSP designed to function is capable of performing sophisticated data pre-processing including real-time artifact and noise removal, data compression, and even feature extraction before uploading the data to other devices like mobile phone, computer, etc. Furthermore, with the installation of embedded real-time Linux operating system, this sensor provides a familiar and powerful software development environment for system developers to build their computation-intensive real-time applications. This paper presents the design and development process.
Anh Thi Le,Manh Ha Hoang,Minh Hoa Nguyen,T. Anh Thu Do,Minh Tan Man 한국진공학회(ASCT) 2020 Applied Science and Convergence Technology Vol.29 No.5
We present an analytical method to model the influence of gold nanoparticle (Au NP) concentration on the energy transfer between Cy3 orange beads (OBs) and Au NPs. The OBs and Au NPs act as donor (D) and acceptor (A), respectively. In the D–A system, the energy transfer efficiency strongly depends on the spectral overlap and separation R between donor and acceptor. Theoretical calculations for a range of R values between 10 and 100 Å produce three parameters that each characterize one of three different resonant energy transfer mechanisms: fluorescence resonant energy transfer, surface resonant energy transfer and Coulomb energy transfer. The values of these parameters provide estimates of the degree of quenching or enhancement of the fluorescence of D–A complexes as a function of concentration. A comparison between experimental and theoretical data confirms the validity of the model.
The Effectiveness of Macroprudential Policy on Credit Growth at Bank-Level Data in Vietnam
Hau Trung NGUYEN,Anh Thi Hoang PHAM,Thuy T. DANG 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.8
The study investigates the effectiveness of the macroprudential policy on credit growth in Vietnam. The authors use the logic of the transmission mechanism of macroprudential policy on credit growth. Research variables include economic growth, inflation, interest rate, and quarterly bank-level data from 28 commercial banks in Vietnam during 2011–2018. The results reveal that: (i) GDP growth had a positive impact on credit growth of small banks but had no impact on large banks, (ii) Domestic Systemically Important Banks (D-SIBs) and small banks respond differently to macroprudential measures of imposing different credit growth targets for different bank groups, (iii) Restrictions on foreign currency loans are found to be effective in curbing credit growth for the full sample and small banks, (iv) Inflation and economic cycle have significantly impacted credit growth at bank-level in Vietnam and (v) Interestingly, a significant positive relationship between interest rates and credit growth is found for the full sample and D-SIBs in Vietnam. The findings suggest that a stable macroeconomic environment should be good conditions for financial stability, and monetary authority should pay more attention to small banks’ behaviors than D-SIBs behavior, toward such “administration” tools since small banks tend to prefer “breaking the rules” to make profits.
Tran, Mai Hoang,Seo, Eunjeong,Min, Soohong,Nguyen, Quynh‐,Anh T.,Choi, Juyong,Lee, Uk‐,Jin,Hong, Soon‐,Sun,Kang, Hyuk,Mansukhani, Alka,Jou, Ilo,Lee, Sang Yoon John Wiley and Sons Inc. 2018 JOURNAL OF CELLULAR AND MOLECULAR MEDICINE Vol.22 No.9
<P><B>Abstract</B></P><P>Phosphatidylinositol 4‐phosphate 5‐kinase (PIP5K) family members generate phosphatidylinositol 4,5‐bisphosphate (PIP2), a critical lipid regulator of diverse physiological processes. The PIP5K‐dependent PIP2 generation can also act upstream of the oncogenic phosphatidylinositol 3‐kinase (PI3K)/Akt pathway. Many studies have demonstrated various mechanisms of spatiotemporal regulation of PIP5K catalytic activity. However, there are few studies on regulation of PIP5K protein stability. Here, we examined potential regulation of PIP5Kα, a PIP5K isoform, via ubiquitin‐proteasome system, and its implication for breast cancer. Our results showed that the ubiquitin ligase NEDD4 (neural precursor cell expressed, developmentally down‐regulated gene 4) mediated ubiquitination and proteasomal degradation of PIP5Kα, consequently reducing plasma membrane PIP2 level. NEDD4 interacted with the C‐terminal region and ubiquitinated the N‐terminal lysine 88 in PIP5Kα. In addition, PIP5Kα gene disruption inhibited epidermal growth factor (EGF)‐induced Akt activation and caused significant proliferation defect in breast cancer cells. Notably, PIP5Kα K88R mutant that was resistant to NEDD4‐mediated ubiquitination and degradation showed more potentiating effects on Akt activation by EGF and cell proliferation than wild‐type PIP5Kα. Collectively, these results suggest that PIP5Kα is a novel degradative substrate of NEDD4 and that the PIP5Kα‐dependent PIP2 pool contributing to breast cancer cell proliferation through PI3K/Akt activation is negatively controlled by NEDD4.</P>