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Nugraha Setyawan, Erif Maha,Oh, Hyun Ju,Kim, Min Jung,Kim, Geon A.,Lee, Seok Hee,Choi, Yoo Bin,Ra, Kihae,Lee, Byeong Chun Elsevier 2018 Theriogenology Vol.115 No.-
<P><B>Abstract</B></P> <P>The paracrine interactions between cumulus-oocyte complexes (COCs) and follicular somatic cells during <I>in vitro</I> maturation (IVM) were investigated. To optimize IVM conditions, many studies have applied exogenous growth factors and cell feeding/co-culture systems using various cell types to replicate the natural follicular microenvironment during IVM. A potential candidate as cell feeders is adipose-derived stem cells (ASCs) which secrete high levels of growth factors that have roles in oocyte maturation. However, the cell donor's age should be considered because biological aging also occurs in stem cells. In the present study, the contributions of ASCs from young and old donors on an IVM co-culture system were analyzed by comparing the oocyte maturation rate, cumulus expansion index, preimplantation development after parthenogenetic activation (PA), and expression of growth factor signaling genes related to oocyte maturation in ASCs, oocytes and cumulus cells under the same culture conditions. Our study demonstrated that the confluence, viability and cell size of ASCs between young and old donors were not significantly different and only the Fibroblast Growth Factor 2 (<I>FGF2</I>) signaling gene showed higher expression in ASCs from young donors. The oocyte maturation rate in the young donor group (87.8 ± 1.2%) was significantly higher than in the old donor (81.1 ± 2.1%) and control (73.8 ± 2.1%) groups. After IVM, most gene expression levels in oocytes and cumulus cells in the co-culture groups were higher than in the control but the apoptotic ratios were reduced. The blastocyst development rates were not different between the young and old donor groups (23.9 ± 1.3% and 20.7 ± 0.8%, respectively) but the percentages were higher in both groups compared to the control group (16.4 ± 1.2%). A similar pattern was also found for blastocyst total cell numbers in that the young donor group (87.5 ± 5.2 cells) was not different than the old donor group (77.5 ± 3.4 cells) but both groups exhibited higher number of cells compared with the control group (57.9 ± 6.0 cells, p < .05). Our study strongly suggested that the co-culture IVM system with ASCs greatly improved the maturation and development rates of porcine oocytes. Moreover, ASCs from young donors more effectively supported porcine oocyte maturation than those from old donors although this difference did not translate into improved developmental competence.</P> <P><B>Highlights</B></P> <P> <UL> <LI> IVM with co-culture strategy improved the effectivity of oocyte maturation. </LI> <LI> The confluence, viability and cell size between young and old donor were similar. </LI> <LI> The FGF2 signalling gene showed higher expression in young ASCs donor. </LI> <LI> Maturation rate in young donor was the highest than old donor and control groups. </LI> <LI> Co-culture IVM system up regulated most of signalling genes in oocytes and cumulus. </LI> </UL> </P>
Nugraha David,Melbiarta Rezy Ramawan,Visuddho Visuddho,Rimbun Rimbun,Sakina Sakina,Herawati Lilik,Ummah Fithriyah Cholifatul,Rejeki Purwo Sri,Romdhon Achmad Chusnu 한국의학교육학회 2023 Korean journal of medical education Vol.35 No.4
Purpose: Hybrid learning has been chosen as an alternative method in the conduction of clinical skill lectures during coronavirus disease 2019 (COVID-19) pandemic since students need to learn skills applied in emergency situations. This study aims to analyze students’ attitudes between hybrid and online learning methods.Methods: A non-randomized study was conducted between hybrid group (HG) and online group (OG) on three courses (intravenous [IV]-line insertion, nasogastric tube [NGT] insertion, and neonatal resuscitation). We developed a preformed validated questionnaire to assess students’ attitudes in five domains (willingness, understanding, capacity, self-efficacy, and intended behavior). The questionnaire was applied at the pre- and post-intervention.Results: A total of 100 participants were included (n=49 in HG, n=51 in OG). Post-course attitudes were significantly higher in online (IV-line, p=0.000; NGT, p=0.000; resuscitation, p=0.000) and hybrid (IV-line, p=0.000; NGT, p=0.000; resuscitation, p=0.000) groups compared to their pre-course. There were no significant differences in post-course attitude between groups (IV-line, p=0.072; NGT, p=0.163; resuscitation, p=0.146). Normalized-gain scores of all subjects were higher in HG (IV-line, p=0.012; NGT, p=0.085; resuscitation, p=0.033).Conclusion: In conclusion, hybrid learning could be considered as a better alternative in clinical skill lectures to maximize students’ attitudes, especially during COVID-19 pandemic.
Utilizing OpenFlow and sFlow to Detect and Mitigate SYN Flooding Attack
Nugraha, Muhammad,Paramita, Isyana,Musa, Ardiansyah,Choi, Deokjai,Cho, Buseung Korea Multimedia Society 2014 멀티미디어학회논문지 Vol.17 No.8
Software Defined Network (SDN) is a new technology in computer network area which enables user to centralize control plane. The security issue is important in computer network to protect system from attackers. SYN flooding attack is one of Distributed Denial of Service attack methods which are popular to degrade availability of targeted service on Internet. There are many methods to protect system from attackers, i.e. firewall and IDS. Even though firewall is designed to protect network system, but it cannot mitigate DDoS attack well because it is not designed to do so. To improve performance of DDOS mitigation we utilize another mechanism by using SDN technology such as OpenFlow and sFlow. The methodology of sFlow to detect attacker is by capturing and sum cumulative traffic from each agent to send to sFlow collector to analyze. When sFlow collector detect some traffics as attacker, OpenFlow controller will modify the rule in OpenFlow table to mitigate attacks by blocking attack traffic. Hence, by combining sum cumulative traffic use sFlow and blocking traffic use OpenFlow we can detect and mitigate SYN flooding attack quickly and cheaply.
Data Imputation using Auto-Encoder for Design Specification of Glass Run Channel
Nugraha Agung,Hye-Rin Kwon,Gyeong-Ho Park,Min-Soo Kim,Ji-Hwan Lee 대한산업공학회 2022 대한산업공학회 추계학술대회논문집 Vol.2022 No.11
Verification of the Glass Run Channel process design, the automotive window seal, typically takes several days or weeks. Typically, the reason of this issue is dependent on the engineers level of experience with this technique. The requirements of a framework that is both capable of resolving the issue and simple to use will boost the work efficiency. This issue can be classified as an imputation problem in which the data itself is Missing Completely at Random (MCAR). The problem is resolved with the Auto-Encoder. The results demonstrate that the proposed Auto-Encoder has a performance that is comparable to that of our benchmark, the KNN Imputer. In contrast, the Auto-Encoder fared better than the KNN Imputer in terms of time processing.
Nugraha Cahya Fajar,김준순 강원대학교 산림과학연구소 2019 Journal of Forest Science Vol.35 No.2
The issue of sustainable forest management (SFM) continues to emerge as part of the REDD+ mechanism mitigation efforts. Especially for some developing countries, such as Indonesia, forest management is required to provide benefits to the welfare of local communities in addition to forest conservation efforts. This study aims to identify the economic, social, and environmental impacts of community-based forest management (CBFM) implementation activities, which is one of the implementations of SFM at field level. The primary objectives were to find out the impacts of CBFM activities based on local people’s perceptions and to identify what factors need to be considered to increase local people’s satisfaction on CBFM activities. The data from 6 sub-villages was derived through surveys with local people involved in CBFM activities, interviews with a key informant, and supported by secondary data. The results of the study state that CBFM activities have increased the local people’s income as well as their welfare, strengthening the local institution, and help to resolve conflicts in the study area. CBFM has also been successful in protecting forests by rehabilitating unproductive lands and increase forest cover area. By using binary logistic regression analysis, it found that income, business development opportunities, access to forests, conflict resolution, institutional strengthening, and forest rehabilitation variable significantly affected the local people’s satisfaction of CBFM activities.
Widi Nugraha,Indra Djati Sidi,Made Suarjana,Ediansjah Zulkifli Techno-Press 2022 Structural monitoring and maintenance Vol.9 No.4
Steel truss bridge is one of the most widely used bridge types in Indonesia. Out of all Indonesia's national roads, the number of steel truss bridges reaches 12% of the total 17,160 bridges. The application of steel truss bridges is relatively high considering this type of bridge provides advantages in the standardization of design and fabrication of structural elements for typical bridge spans, as well as ease of mobilization. Directorate of Road and Bridge Engineering, Ministry of Works and Housing, has issued a standard design for steel truss bridges commonly used in Indonesia, which is designed against the design load in SNI 1725-2016 Bridge Loading Standards. Along with the development of actual traffic load measurement technology using Bridge Weigh-in-Motion (B-WIM), traffic loading data can be utilized to evaluate the reliability of standard bridges, such as standard steel truss bridges which are commonly used in Indonesia. The result of the B-WIM measurement on the Central Java Pantura National Road, Batang - Kendal undertaken in 2018, which supports the heaviest load and traffic conditions on the national road, is used in this study. In this study, simulation of a sequences of traffic was carried out based on B-WIM data as a moving load on the Australian type Steel Truss Bridge (i.e., Rangka Baja Australia -RBA) structure model with 60 m class A span. The reliability evaluation was then carried out by calculating the reliability index or the probability of structural failure. Based on the analysis conducted in this study, it was found that the reliability index of the 60 m class Aspan for RBA bridge is 3.04 or the probability of structural failure is 1.18 × 10<sup>-3</sup>, which describes the level of reliability of the RBA bridge structure due to the loads from B-WIM measurement in Indonesia. For this RBA Bridge 60 m span class A, it was found that the calibrated nominal live load that met the target reliability is increased by 13% than stated in the code, so the uniform distributed load will be 7.60 kN/m<sup>2</sup> and the axle line equivalent load will be 55.15 kN/m.