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Wahyudi, Lilik Duwi,Jeong, Jiwon,Yang, Heejung,Kim, Jung-Hwan Elsevier 2018 The international journal of biochemistry & cell b Vol.99 No.-
<P><B>Abstract</B></P> <P>Nuclear factor erythroid 2-related factor 2 (Nrf2) is a key transcription factor that responds to oxidative stress and xenobiotics. Multiple lines of evidence suggest that Nrf2 activation protects against aging, inflammation, and many diseases, including cancer. Nrf2 activators derived from natural sources have been widely studied. In this study, we investigated the effect of amentoflavone (AFN), a biflavonoid found in many plants, on Nrf2 signaling in human keratinocytes (HaCaT cells). AFN significantly increased ARE luciferase activity by Nrf2 accumulation in the nucleus. Subsequently, the levels of a Nrf2 target protein, NQO-1, were significantly increased by AFN in a dose- and time-dependent manner. To verify the mechanism of AFN-induced activation of Nrf2 signaling, we measured generation of reactive oxygen species (ROS). Interestingly AFN triggered mild ROS production. Additionally, AFN-induced Nrf2 activation was inhibited by N-acetyl cysteine. Therefore, we studied the effect of ROS-related signaling on Nrf2 by measuring the activation of AKT and members of the mitogen-activated protein kinase family, such as extracellular signal-regulated kinase (ERK1/2) and p38. The results showed that the pharmacological inhibitor of PI3K/AKT (LY294002) or p38 (SB 203580), but not ERK1/2 (U0126), abrogated AFN-induced Nrf2 activation. Subsequently, we found that silencing or inhibition of p38 resulted in decrease of AKT phosphorylation as well as inhibition of Nrf2 accumulation. Furthermore, we found that AFN stabilized Nrf2 by inhibiting its ubiquitination. Taken together, our results suggest that AFN contributes to Nrf2 activation through ROS-mediated activation of the p38-AKT pathway in HaCaT cells.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Amentoflavone induces Nrf2 activation in HaCaT cells. </LI> <LI> The Nrf2 was activated by ROS-p38 MAP kinase-AKT pathways. </LI> <LI> Amentoflavone stabilizes the Nrf2 by inhibition of ubiquitination. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
A Design of Electromechanical Valve Control System using Model Predictive Controller
Addy Wahyudie,Taizo Nakao,Masakazu Mukai,Taketoshi Kawabe 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper considers an implementation of model predictive controller for an electro mechanical valve. A teach sampling time in stants, the controller sends optimum control input to the system. In order to simplify the calcula-tion process with in controller, we solve the control input as algebraic calculation rather than two-point boundary value problem. We also use adisturbance observer to provide information of armaturevalve velocity, and to improve EMV robustness. The proposed control scheme is demonstrated on experimental test bed. The performance model predictive controller with adisturbance observer is compared experimentally to model predictive controller with are gularfll order observer.
Addy Wahyudie,Tri Bagus Susilo,Cuk Supriyadi Ali Nandar,Sameer Fayez,Rachid Errouissi 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.12
This paper proposes two control techniques to provide robust tracking for magnetic levitation systems (MLS): model-free control (MFC) and robust proportional-integral-derivative (PID) control. The proposed MFC does not require a mathematical model. The MFC uses a stabilising local PID controller and a continuous saturation function of a sliding surface. The local stabilising control is achieved through a trial-and-error method, while the other parameters in the sliding surface are tuned to achieve the required tracking and robustness objectives. For robust PID controller, a linear model of MLS is derived. The robustness, tracking, and transient problems are formulated using the H∞ theory and solved using the genetic algorithm. Experimental verifications are conducted to demonstrate the effectiveness of the proposed controllers.
Lemang (Rice bamboo) as a representative of typical Malay food in Indonesia
Bertha Araminta Wahyudi,Felicia Agnes Octavia,Marissa Hadipraja,Sabrina Isnaeniah,Vicky Viriani 한국식품연구원 2017 Journal of Ethnic Foods Vol.4 No.1
Traditional food as foods typical of the region is one of the cultural elements in various regions of Indonesia. The food is very closely related to customs, indicating that it is very characteristic of each region and ethnicity. Indonesia consists of various ethnic groups. Ethnic Malay is one of the dominant tribe in Indonesia. Malay is spread throughout Indonesia, especially in Sumatra and Borneo. Malay has influenced Indonesia's culture in terms of food. Lemang is a traditional Malay delicacy, which has become a part of Indonesia's culture. Several regions in Indonesia use lemang for traditional ceremonies, such as Bengkulu, Jambi, West Sumatra, North Sumatra, and South Borneo. Each region has a different variation, function, and manner of presentation of lemang but same method of cooking. Local residents use the traditional method to cook lemang using open fire. This method has been passed down from ancestors and has a social value. Cooking lemang by the traditional method involves family members and neighbors so that it can improve kinship. By using the traditional method, local residents can reduce the operational cost. However, the traditional method needs longer cooking time and the quality of products is not uniform due to difficulty in controlling heat. Therefore, researchers have developed new methods of cooking lemang to get uniform quality and to reduce the cooking time. The new methods involve the use of lemang oven and stainless steel mold. Cooking lemang in an oven and replacing bamboo stalk with stainless steel mold can reportedly reduce the cooking time with the same quality as that obtained using the traditional method.
Assessing Carbon Stock and Sequestration of the Tropical Seagrass Meadows in Indonesia
A’an J. Wahyudi,Susi Rahmawati,Andri Irawan,Hadiyanto Hadiyanto,Bayu Prayudha,Muhammad Hafizt,Afdal Afdal,Novi S. Adi,Agustin Rustam,Udhi. E. Hernawan,Yusmiana P. Rahayu,Marindah Y. Iswari,Indarto H. 한국해양과학기술원 2020 Ocean science journal Vol.55 No.1
Seagrass meadows provide critical ecosystem services for coastal areas, e.g., as nursery habitats for various fish species, help with water filtration of suspended sediment, and provide food for dugongs (Dugong dugon). Their role as “blue carbon” and their capacity to mitigate climate change, by means of Natural mechanism of Carbon Dioxide Removal (NCDR) from the atmosphere, has recently gained increased attention. However, available scientific methods such as guidelines and manuals to measure carbon stock and sequestration still rely heavily on field sampling activities and laboratory analyses. Despite their accuracy, neither of these methods are applicable for large-scale carbon inventories nor are they practical in areas with limited carbon-related data and laboratory resources. Thus, it is necessary to determine whether any of the seagrass-related variables (e.g., coverage, density and biomass) may be treated as a proxy that are both robust and practical to assess the capacity of seagrass to store and sequester carbon. We developed formulas, assessed their robustness, and used both the formulas and the proxy to estimate carbon stock and the sequestration potential of the seagrasses. Furthermore, this study aims to elucidate the carbon stock and sequestration potential capacity of the seagrass ecosystems in Indonesia. We used the data of seagrass- and carbon-related variables obtained from eleven study sites and developed several candidate formulas using the Robust Linear Mixed Models (rLMMs). We found that the best formulas are comprised of multiple seagrassrelated variables that consistently include biomass and coverage. This suggests that a combination of biomass and coverage is the best proxy to estimate carbon stock; however, a single proxy of seagrass coverage is recommended for practical seagrass monitoring purposes by the local government. Estimations of carbon stock and sequestration subsequently follow the formulas in the present study. Here we estimated, using a single proxy of seagrass coverage, that the above- and below-ground carbon stock, and carbon sequestration capacity of seagrass ecosystems in Indonesia reached 80–314 ktC, 196–696 ktC, and 1.6–7.4 MtC/year, respectively.