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Forced swimming stress increases natatory activity of lead-exposed mice
Araujo Ulisses C.,Krahe Thomas E.,Ribeiro-Carvalho Anderson,Gomes Regina A. A.,Lotufo Bruna M.,Moreira Maria de Fátima R.,de Abreu-Villaça Yael,Manhães Alex C.,Filgueiras Cláudio C. 한국독성학회 2021 Toxicological Research Vol.37 No.1
Recent evidence points to the relationship between lead toxicity and the function of the hypothalamic-pituitary-adrenal axis, which suggests that lead exposure could influence how an individual cope with stress. Here we test this hypothesis by investigating the behavioral effects of lead exposure in mice during the forced swimming test (FST), a parading in which animals are exposed to a stressful situation and environment. Swiss mice received either 180 ppm or 540 ppm of lead acetate (Pb) in their ad-lib water supply for 60–90 days, starting at postnatal day 30. Control (Ctrl) mice drank tap water. At the end of the exposure period, mice were submitted to a 5-min session of FST or to an open-field session of the same duration. Data from naïve animals showed that corticosterone levels were higher for animals tested in the FST compared to animals tested in the open-field. Blood-lead levels (BLL) in Pb-exposed mice ranged from 14.3 to 106.9 μg/dL. No differences were observed in spontaneous locomotion between Ctrl and Pb-exposed groups in the open-field. However, in the FST, Pb-treated mice displayed higher swimming activity than Ctrl ones and this effect was observed even for animals with BLL higher than 20 μg/ dL. Furthermore, significant differences in brain glutathione levels, used as an indicator of led toxicity, were only observed for BLL higher than 40 μg/dL. Overall, these findings suggest that swimming activity in the FST is a good indicator of lead toxicity and confirm our prediction that lead toxicity influences behavioral responses associated to stress.
Field and Laboratory Investigation of Cold In-Place Recycling in Vietnam
Manh Tuan Nguyen,Ba Khanh Le,Manh Cuong Nguyen 한국도로학회 2018 한국도로학회 학술대회 발표논문 초록집 Vol.2018 No.05
In Vietnam, reclaimed asphalt pavement technology is considered as the key to reduce the cost of pavement construction, and decrease the industrial waste from flexible pavement rehabilitation. Ministry of Transportation has concentrated to develop RAP technology since 2008. As a result, there are three trademark of recycling technologies applied in Vietnam such as Wirtgen (Germany), Hall Brothers (U.S.), and Sakai (Japan). This paper is focused on asphalt pavement investigation of field and laboratory tests from Cold In-place recycling technology. The laboratory tests carried out on the material were conventional tests including Marshall stability, indirect tensile strength... Field data was collected using a Benkelman beam and core specimens for indirect tensile strength test.
Tran Manh Hung,Hoang Duc Manh,Pham Thi Hong Minh,윤의중,나민균,Won Keun Oh,민병선,배기환 한국생약학회 2007 Natural Product Sciences Vol.13 No.4
this study, the twenty-four ethyl acetate extracts of twenty-two medicinal plants, traditionally usedα-amylase and protein tyrosine phosphatase 1B (PTP1B)enzymes inhibitory activity in vitro. The results indicated that, twelve materials (50.0%) showed moderate tostrong inhibitory activity in α-amylase inhibitory activity with IC50 values ranging from 2.5 to 48.8g/mL;meanwhile, ten extracts (41.6%) could demonstrate PTP1B activity with IC50 values less than 30.5g/mL. Someplants presented interesting activities against both of α-amylase and PTP1B enzymes such as Catharanthusroseus, Carthamus tinctorius, Momordica charantia, Gynostemma pentaphyllum, Glycyrrhiza glabra, Smilaxglabra, Psidium guajava (leave), and Rehmannia glutinosa. The study may provide a proof, at least in a part, forthe ethno-medical use in diabetes disease of these plants. KeywordsVietnamese medicinal plants, diabetes, α-amylase, protein tyrosine phosphatase 1B
Ha, Manh Tuan,Tran, Manh Hung,Phuong, Thien Thuong,Kim, Jeong Ah,Woo, Mi Hee,Choi, Jae Sue,Lee, Suhyun,Lee, Jeong Hyung,Lee, Hyeong Kyu,Min, Byung Sun Elsevier 2017 Bioorganic & medicinal chemistry letters Vol.27 No.13
<P><B>Abstract</B></P> <P>A phytochemical investigation into the bark of <I>Erythrophleum fordii</I> yielded four new compounds, two new cassaine diterpenoids (erythrofordin T and U, <B>1</B> and <B>2</B>) and two new cassaine diterpenoid amines (erythroformine A and B, <B>6</B> and <B>7</B>), as well as nine known compounds. We report for the first time the isolation of erythrofordin V (<B>3</B>) from a natural source and that of the remaining eight known diterpenoids (<B>4</B>–<B>5</B>, <B>8</B>–<B>13</B>) from <I>E. fordii</I>. All structures were elucidated using spectroscopic analysis. Cytotoxic activity of the isolated compounds (<B>1</B>–<B>13</B>) was examined <I>in vitro</I> against three non-small cell lung cancer cell lines (A549, NCI-H1975, and NCI-H1229) using the MTT assay. Cassaine diterpene amines (<B>6</B>–<B>10</B>, <B>12</B>, <B>13</B>) exhibited potent cytotoxic activity against all three cell lines with IC<SUB>50</SUB> values between 0.4μM and 5.9μM. Erythroformine B (<B>7</B>) significantly induced apoptosis in all three cancer cells in a concentration-dependent manner.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Duyen Ha Thi Kim,Tien Ngo Manh,Cuong Nguyen Manh,Nhan Duc Nguyen,Dung Pham Tien,Manh Tran Van,Minh Phan Xuan 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.4
The paper proposes the method to deal with control problems of unmodeled components of the fourwheeled Omni-directional mobile robot. It is commonly challenging to design a model-based control scheme to achieve smooth movement in the tracking process due to the unknown elements in the mathematical model of the robot or external disturbances. Our main contribution focuses on designing an adaptive controller based on neural networks with online weight updating laws and Fuzzy logic to guarantee the high accuracy of the robot’s movement when the unknown factors adversely affect the robot control. At the initial step, a Dynamic Surface Control plays a role as a core of the controller for the robot system. Then, with the ability to estimate the appropriate value for uncertain nonlinear parts, a Radial Basis Function Neural Network is designed. Finally, a Fuzzy law is to utilize control parameters in each period to increase the adaptive behavior of the system. The stability and convergence of the system are proven by the Lyapunov’s stability theory. The simulation results illustrate the validity and the efficiency of the proposed control algorithm when the system is lack of robot model’s information.