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Nguyen, Thi Hong Nhan,Nguyen, Van Hon,Nguyen, Trong Ngu,Nguyen, Tien Von,Preston, T.R.,Leng, R.A. Asian Australasian Association of Animal Productio 2001 Animal Bioscience Vol.14 No.4
Farmers in the centre of Vietnam have a tradition of dosing young cattle with groundnut oil before fattening them on a diet of rice straw and road-side grass. These farmers claim the cattle grow faster. It was hypothesized that the effect of the oil could be to eliminate the protozoa from the rumen. This is known to increase the net microbial growth efficiency in the rumen and increase the protein supply to the animal. To test this hypothesis, two experiments were undertaken; one on-station with four cattle fitted with rumen cannulae and the second a growth trial with 25 young cattle in smallholder farms. When the cannulated animals were drenched with groundnut oil, the protozoa were eliminated from the rumen and animals could be kept free of protozoa by isolation. The ammonia concentration in the rumen fluid was decreased when the protozoa were eliminated and there was an indication of improved rumen dry matter degradability of the forage components of the diet. In the practical condition on the smallholder farms, the growth rates of cattle drenched with groundnut oil were increased considerably (65%) compared with untreated control animals. The laboratory results when taken together with the on-farm results indicate that these resource-poor farmers had been able to defaunate their cattle and to maintain the fauna-free state by isolation of their animals from extraneous stock. This traditional practice in Central Vietnam, whereby one family keeps only one or two animals that are hand fed and tethered, has quite a large potential for all of those countries where animals are fed agro-industrial by-products, as it is highly economic. The use of 1 litre of oil compared with 1 kg of rice polishing per day (300 kg over 300 days), would be highly profitable in all countries of South-East Asia.
Correlations between abnormalities of morphological details and DNA fragmentation in human sperm
Nguyen, Hiep Tuyet Thi,Dang, Hong Nhan Thi,Nguyen, Thai Thanh Thi,Nguyen, Trung Van,Dang, Thuan Cong,Nguyen, Quoc Huy Vu,Le, Minh Tam The Korean Society for Reproductive Medicine 2022 Clinical and Experimental Reproductive Medicine Vol.49 No.1
Objective: As the associations of sperm DNA fragmentation with morphology have not been examined in detail, this study aimed to investigate the relationship between abnormalities of morphological details and DNA integrity in human sperm. Methods: In this cross-sectional study, men from infertile couples were enrolled at Hue Center for Reproductive Endocrinology and Infertility, Vietnam. Conventional semen parameters, including morphological details, were analyzed following the World Health Organization 2010 criteria. Sperm DNA fragmentation was evaluated using a sperm chromatin dispersion assay. The relationships and correlations between semen parameters, sperm morphology, and the type of halosperm and the DNA fragmentation index (DFI) were analyzed. Results: Among 130 men in infertile couples, statistically significant differences were not found in the sperm halo type between the normal and abnormal sperm morphology groups. The percentage of round-head spermatozoa was higher in the DFI >15% group (16.98%±12.50%) than in the DFI ≤15% group (13.13% ±8.82%), higher values for amorphous heads were found in the DFI >15% group, and lower values for tapered heads were observed in the DFI ≤15% group; however, these differences were not statistically significant. Small-halo sperm and the DFI were positively correlated with round-head sperm (r=0.243, p=0.005 and r=0.197, p=0.025, respectively). Conclusion: The rate of general sperm morphological abnormalities in semen analysis was not related to sperm DNA integrity. However, round sperm heads were closely associated with sperm DNA fragmentation.
AI Application on Nusselt Number Prediction for Plate Heat Exchanger
Thi Nhan Nguyen,Van Cong Le,Dong Ho Kim(김동호),Chan Woo Park(박찬우) 대한설비공학회 2022 대한설비공학회 학술발표대회논문집 Vol.2022 No.11
Plate heat exchangers (PHXs) are widely used in several industrial fields as a form of compact heat exchange for heating, cooling and heat recovery processes. Gasket-plate heat exchangers (GPHX) have great efficiencies with different fluid flow configurations. In the PHXs, Nusselt number are used to evaluate the conductive/convective heat transfer performance. The Nusselt number correlation provides an estimation for the convective heat transfer performance. In this study, an artificial neural network (ANN) model is developed to predict as well as generate a new correlation for the Nusselt number based on an experimental gasket-plate heat exchanger. The obtained scores showed a great accuracy of prediction model. The predicted and experimental Nusselt numbers achieved a good agreement illustrating a great performance of ANN model.
Nguyen Huu Nhan,Truong Thi Nhan,Le Thi Phuong Ngoc,Nguyen Thanh Long 경남대학교 기초과학연구소 2021 Nonlinear Functional Analysis and Applications Vol.26 No.1
In this paper, we investigate an initial boundary value problem for a nonlinear pseudoparabolic equation. At first, by applying the Faedo-Galerkin, we prove local existence and uniqueness results. Next, by constructing Lyapunov functional, we establish a sufficient condition to obtain the global existence and exponential decay of weak solutions.
Thi Nhan Nguyen,Van Cong Le,Byung Ryeon Kim,Chan Woo Park 대한설비공학회 2022 대한설비공학회 학술발표대회논문집 Vol.2022 No.6
Lithium batteries are playing an important role in emissions reduction and reduce the demand on the fossil fuel. However, due to its high sensitivity to temperature, lithium-ion battery thermal management is a challenging issue for the energy storage industry, especially for the electric vehicle industry. Therefore, many studies are released to analyze battery cooling performance to remain battery at safety temperature and reduce the cost. In this study, water cooling method is used for cooling battery temperature at 30oC and effort to reduce pump power consumption. Artificial neural network is used to predict battery temperature. The result shows that model can be used to predict battery temperature with high accuracy of prediction and low error of MSE as 0.993, 0.00016, respectively. This model as a premise for the development of the AI model to optimize the cooling system with lower cost.
Thi Nhan Nguyen,Van Cong Le,Byung Ryeon Kim,Chan Woo Park 대한설비공학회 2022 대한설비공학회 학술발표대회논문집 Vol.2022 No.6
In this study, the heat transfer characteristics of evaporation and condensation is predicted using artificial intelligence. Evaporator and condenser are the core-parts of absorption refrigeration system, the optimization of evaporator and condenser can be done by improving the wettability and reducing the uneven distribution of liquid film. In terms of heat transfer efficiency, to improve the heat transfer coefficient and Nusselt number (Nu). In this study, a Random Forest Regression (RFR) model is used to predict Nu in the case evaporator and condenser. The prediction performance of Random Forest Regression model is evaluated by mean square error (MSE), mean absolute percentage error (MAPE), and coefficient of determination R2 (score). The results proved that RFR model predict Nu in both case with high performance.
Thi Nhan Nguyen,Van Cong Le,Byung Ryeon Kim,Chan Woo Park 대한설비공학회 2022 대한설비공학회 학술발표대회논문집 Vol.2022 No.6
In this study, the heat transfer characteristics of evaporation and condensation is predicted using artificial intelligence. Evaporator and condenser are the core-parts of absorption refrigeration system, the optimization of evaporator and condenser can be done by improving the wettability and reducing the uneven distribution of liquid film. In terms of heat transfer efficiency, to improve the heat transfer coefficient and Nusselt number (Nu). In this study, a Random Forest Regression (RFR) model is used to predict Nu in the case evaporator and condenser. The prediction performance of Random Forest Regression model is evaluated by mean square error (MSE), mean absolute percentage error (MAPE), and coefficient of determination R2 (score). The results proved that RFR model predict Nu in both case with high performance.
Nguyen Nhan Thi,김선호,김경은,Bahk Sunghwa,Nguyen Xuan Canh,김민갑,홍종찬,정우식 한국식물생명공학회 2022 Plant biotechnology reports Vol.16 No.1
Jasmonic acid (JA) is a phytohormone that plays a central role in plant defense against necrotrophic pathogens. JA signal- ing stimulates the increase of cytosolic calcium ion (Ca2+) and implicates the activity of mitogen-activated protein kinases (MPKs). We previously characterized that Ca2+/calmodulin (CaM) activates MPKs by inhibiting a CaM-regulated dual- specificity protein phosphatase1 (DsPTP1) at the biochemical level. In this study, we reported that Ca2+/CaM-mediated DsPTP1 negatively regulates the resistance to necrotrophic pathogens through the inhibition of JA-responsive MPK6. To elucidate the physiological function of inhibiting DsPTP1 activity by Ca2+/CaM, we constructed transgenic plants over- expressing DsPTP1 wild type (DsPTP1WT OX) and CaM deregulated mutant (DsPTP1K166E OX). Interestingly, the MPK6 activity was significantly reduced in DsPTP1K166E OX plants in response to JA compared to DsPTP1WT OX plants. Moreover, transcript levels of JA-responsive gene PDF1.2 and VSP1 were also highly decreased in DsPTP1K166E OX plants compared to DsPTP1WT OX plants. Furthermore, DsPTP1K166E OX plants showed more susceptibility to necrotrophic pathogens than DsPTP1WT OX plants. Conclusively, these results suggest that Ca2+/CaM activates the JA-responsive MPKs by inhibiting DsPTP1 for the resistance to the necrotrophic pathogen